no code implementations • ECCV 2020 • Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian
Due to the complex underwater environment, underwater imaging often encounters some problems such as blur, scale variation, color shift, and texture distortion.
1 code implementation • EMNLP 2021 • Hao Zhou, Minlie Huang, Yong liu, Wei Chen, Xiaoyan Zhu
Generating informative and appropriate responses is challenging but important for building human-like dialogue systems.
no code implementations • IWSLT (EMNLP) 2018 • Yuguang Wang, Liangliang Shi, Linyu Wei, Weifeng Zhu, Jinkun Chen, Zhichao Wang, Shixue Wen, Wei Chen, Yanfeng Wang, Jia Jia
Our final average result on speech translation is 31. 02 BLEU.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • ICML 2020 • Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
For Borda winner, we establish a reduction of the problem to the original CPE-MAB setting and design PAC and exact algorithms that achieve both the sample complexity similar to that in the CPE-MAB setting (which is nearly optimal for a subclass of problems) and polynomial running time per round.
1 code implementation • COLING 2022 • Yinzi Li, Wei Chen, Zhongyu Wei, Yujun Huang, Chujun Wang, Siyuan Wang, Qi Zhang, Xuanjing Huang, Libo Wu
Existing research for argument representation learning mainly treats tokens in the sentence equally and ignores the implied structure information of argumentative context.
no code implementations • 9 May 2024 • Yiran Guo, Wei Chen, Feifei Sun, Jiaming Cheng, Michail Matthaiou, Bo Ai
The use of deep learning (DL) for channel state information (CSI) feedback has garnered widespread attention across academia and industry.
no code implementations • 8 May 2024 • Bing Zhu, Zixin He, Weiyi Xiong, Guanhua Ding, Jianan Liu, Tao Huang, Wei Chen, Wei Xiang
However, mmWave radar relies on the collection of reflected signals from the target, and the radar signals containing information is difficult to be fully applied.
no code implementations • 30 Apr 2024 • Wei Chen, Zhiyuan Li
Additionally, we explore the use of graph as a versatile data structure that effectively coordinates multiple open-source models by harnessing the capabilities of the Octopus model and \textit{functional tokens}.
no code implementations • 24 Apr 2024 • Shujian Jiao, Bingxuan Li, Lei Wang, Xiaojin Zhang, Wei Chen, Jiajie Peng, Zhongyu Wei
Proteins are essential to life's processes, underpinning evolution and diversity.
no code implementations • 23 Apr 2024 • Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
Generating trajectory data is among promising solutions to addressing privacy concerns, collection costs, and proprietary restrictions usually associated with human mobility analyses.
no code implementations • 22 Apr 2024 • Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
Trajectory modeling refers to characterizing human movement behavior, serving as a pivotal step in understanding mobility patterns.
1 code implementation • 19 Apr 2024 • Yi Guo, Fanliu Kong, Xiaoyang Li, Hui Li, Wei Chen, Xiaogang Tian, Jinping Cai, Yang Zhang, Shouda Liu
However, existing quantization schemes suffer from significant accuracy degradation at very low bits, or require some additional computational overhead when deployed, making it difficult to be applied to large-scale applications in industry.
no code implementations • 18 Apr 2024 • Yang Lu, Yuhang Li, Ruichen Zhang, Wei Chen, Bo Ai, Dusit Niyato
Graph neural networks (GNNs) have been regarded as the basic model to facilitate deep learning (DL) to revolutionize resource allocation in wireless networks.
1 code implementation • 18 Apr 2024 • Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen
The results demonstrate that our approach achieves high prediction accuracy, facilitates interpretable feature extraction, and enables multicriteria design optimization, leading to significant reduction of computing power and time (10x reduction of required DFT calculations) in high-performance catalyst discovery.
no code implementations • 17 Apr 2024 • Wei Chen, Zhiyuan Li
A multimodal AI agent is characterized by its ability to process and learn from various types of data, including natural language, visual, and audio inputs, to inform its actions.
no code implementations • 16 Apr 2024 • Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
The evolution of artificial intelligence (AI) and neural network theories has revolutionized the way software is programmed, shifting from a hard-coded series of codes to a vast neural network.
no code implementations • 15 Apr 2024 • Yukun Cheng, Wei Chen, Bo Ai
Furthermore, we propose a channel network to enable the E2E learning over the non-differentiable molecular channel.
no code implementations • 14 Apr 2024 • Jieyi Tan, Yansheng Li, Sergey A. Bartalev, Bo Dang, Wei Chen, Yongjun Zhang, Liangqi Yuan
Remote sensing semantic segmentation (RSS) is an essential task in Earth Observation missions.
no code implementations • 12 Apr 2024 • Yingchaojie Feng, Zhizhang Chen, Zhining Kang, Sijia Wang, Minfeng Zhu, Wei zhang, Wei Chen
Addressing these concerns necessitates a comprehensive analysis of jailbreak prompts to evaluate LLMs' defensive capabilities and identify potential weaknesses.
no code implementations • 11 Apr 2024 • Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang
Spatio-temporal forecasting is crucial in real-world dynamic systems, predicting future changes using historical data from diverse locations.
1 code implementation • 7 Apr 2024 • Wei Liu, Satyajit Mojumder, Wing Kam Liu, Wei Chen, Daniel W. Apley
We propose a simulation-free alternative that determines RVE size based only on a micrograph.
no code implementations • 2 Apr 2024 • Wei Chen, Zhiyuan Li, Mingyuan Ma
In the rapidly evolving domain of artificial intelligence, Large Language Models (LLMs) play a crucial role due to their advanced text processing and generation abilities.
no code implementations • 2 Apr 2024 • Wei Chen, Zhiyuan Li
Current on-device models for function calling face issues with latency and accuracy.
no code implementations • 26 Mar 2024 • Jue Wang, Yuxiang Lin, Qi Zhao, Dong Luo, Shuaibao Chen, Wei Chen, Xiaojiang Peng
The widespread use of various chemical gases in industrial processes necessitates effective measures to prevent their leakage during transportation and storage, given their high toxicity.
no code implementations • 26 Mar 2024 • Shi Feng, Nuoya Xiong, Zhijie Zhang, Wei Chen
Pseudo log-likelihood is a type of maximum likelihood estimation (MLE) method used in various fields including contextual bandits, influence maximization of social networks, and causal bandits.
no code implementations • 25 Mar 2024 • Xiaojin Zhang, Yulin Fei, Wei Chen
The swift evolution of machine learning has led to emergence of various definitions of privacy due to the threats it poses to privacy, including the concept of local differential privacy (LDP).
1 code implementation • 25 Mar 2024 • Kecheng Zheng, Yifei Zhang, Wei Wu, Fan Lu, Shuailei Ma, Xin Jin, Wei Chen, Yujun Shen
Motivated by this, we propose to dynamically sample sub-captions from the text label to construct multiple positive pairs, and introduce a grouping loss to match the embeddings of each sub-caption with its corresponding local image patches in a self-supervised manner.
1 code implementation • 25 Mar 2024 • Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang
Urban indicator prediction aims to infer socio-economic metrics in diverse urban landscapes using data-driven methods.
no code implementations • 24 Mar 2024 • Yifan Shi, Yuhui Zhang, Ziyue Huang, Xiaofeng Yang, Li Shen, Wei Chen, Xueqian Wang
Federated Split Learning (FSL) is a promising distributed learning paradigm in practice, which gathers the strengths of both Federated Learning (FL) and Split Learning (SL) paradigms, to ensure model privacy while diminishing the resource overhead of each client, especially on large transformer models in a resource-constrained environment, e. g., Internet of Things (IoT).
no code implementations • 22 Mar 2024 • Bohan Wang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Wei Chen
This paper aims to clearly distinguish between Stochastic Gradient Descent with Momentum (SGDM) and Adam in terms of their convergence rates.
1 code implementation • 21 Mar 2024 • Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei LI, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
In this paper, we present a comprehensive review of the development and recent advances in deep learning for trajectory computing (DL4Traj).
no code implementations • 19 Mar 2024 • Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
Specifically, we view the generation of a ranked docid list as a sequence learning process: at each step we learn a subset of parameters that maximizes the corresponding generation likelihood of the $i$-th docid given the (preceding) top $i-1$ docids.
1 code implementation • 14 Mar 2024 • Donglin Di, Jiahui Yang, Chaofan Luo, Zhou Xue, Wei Chen, Xun Yang, Yue Gao
Our framework is anchored by a well-established mainflow and an essential module, named ``Geometry and Texture Hypergraph Refiner (HGRefiner)''.
no code implementations • 9 Mar 2024 • Wei Chen, Yunan Li, Yuan Tian
We introduce a new approach using computer vision to predict the land surface displacement from subsurface geometry images for Carbon Capture and Sequestration (CCS).
no code implementations • 1 Mar 2024 • Wei Chen, Zichen Miao, Qiang Qiu
Furthermore, each filter atom can be recursively decomposed as a combination of another set of atoms, which naturally expands the number of tunable parameters in the filter subspace.
no code implementations • 27 Feb 2024 • Vispi Karkaria, Anthony Goeckner, Rujing Zha, Jie Chen, Jianjing Zhang, Qi Zhu, Jian Cao, Robert X. Gao, Wei Chen
Our work presents a digital twin (DT) framework for real-time predictive control of DED process parameters to meet specific design objectives.
1 code implementation • 26 Feb 2024 • Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Wei Chen, Min Lin
Recent research has made significant progress in optimizing diffusion models for specific downstream objectives, which is an important pursuit in fields such as graph generation for drug design.
1 code implementation • 21 Feb 2024 • Zhaorui Yang, Qian Liu, Tianyu Pang, Han Wang, Haozhe Feng, Minfeng Zhu, Wei Chen
The surge in Large Language Models (LLMs) has revolutionized natural language processing, but fine-tuning them for specific tasks often encounters challenges in balancing performance and preserving general instruction-following abilities.
no code implementations • 18 Feb 2024 • Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
In long-term time series forecasting (LTSF) tasks, existing deep learning models overlook the crucial characteristic that discrete time series originate from underlying continuous dynamic systems, resulting in a lack of extrapolation and evolution capabilities.
no code implementations • 15 Feb 2024 • Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He
However, Large language models have two prominent characteristics compared to smaller models: (1) Most of compression algorithms require finetuning or even retraining the model after compression.
1 code implementation • 15 Feb 2024 • Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xi, Fei Huang, Jingren Zhou
To simulate the procedure, we collect high-quality medical records to create patient, examiner, and medical director agents.
no code implementations • 14 Feb 2024 • Wong Kam-Kwai, Yan Luo, Xuanwu Yue, Wei Chen, Huamin Qu
Financial cluster analysis allows investors to discover investment alternatives and avoid undertaking excessive risks.
no code implementations • 14 Feb 2024 • Jiaying Lu, Bo Pan, Jieyi Chen, Yingchaojie Feng, Jingyuan Hu, Yuchen Peng, Wei Chen
Recently, Large Language Model based Autonomous system(LLMAS) has gained great popularity for its potential to simulate complicated behaviors of human societies.
no code implementations • 9 Feb 2024 • Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng
The key idea is to learn task-required causal factors and only use those to make predictions for a given task.
no code implementations • 8 Feb 2024 • Jialuo He, Wei Chen, Xiaojin Zhang
Recent advancements in federated learning (FL) have produced models that retain user privacy by training across multiple decentralized devices or systems holding local data samples.
no code implementations • 7 Feb 2024 • Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
As a key component to intuitive cognition and reasoning solutions in human intelligence, causal knowledge provides great potential for reinforcement learning (RL) agents' interpretability towards decision-making by helping reduce the searching space.
no code implementations • 6 Feb 2024 • Sandipp Krishnan Ravi, Yigitcan Comlek, Wei Chen, Arjun Pathak, Vipul Gupta, Rajnikant Umretiya, Andrew Hoffman, Ghanshyam Pilania, Piyush Pandita, Sayan Ghosh, Nathaniel Mckeever, Liping Wang
Towards resolving this issue, a multi-source data fusion framework based on Latent Variable Gaussian Process (LVGP) is proposed.
1 code implementation • 5 Feb 2024 • Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu
Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems.
no code implementations • 5 Feb 2024 • Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
Time series analysis is essential for comprehending the complexities inherent in various real-world systems and applications.
no code implementations • 4 Feb 2024 • Jianming Lv, Sijun Xia, Depin Liang, Wei Chen
Traditional model-free feature selection methods treat each feature independently while disregarding the interrelationships among features, which leads to relatively poor performance compared with the model-aware methods.
no code implementations • 3 Feb 2024 • Lu Wang, Li Chang, Ruipeng Zhang, Kexun Li, Yu Wang, Wei Chen, Xuanlin Feng, Mingwei Sun, Qi Wang, Charles Damien Lu, Jun Zeng, Hua Jiang
Excessive energy intake increased mortality rapidly in the early period of the acute phase.
no code implementations • 2 Feb 2024 • Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein
In this work, we propose a model-agnostic instance-based post-hoc explainability method for time series classification.
no code implementations • 2 Feb 2024 • Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
We study a general clustering setting in which we have $n$ elements to be clustered, and we aim to perform as few queries as possible to an oracle that returns a noisy sample of the similarity between two elements.
no code implementations • 31 Jan 2024 • Wei Chen, Hengxu Lin, Qun Zhang, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei
Emotional Support Conversation aims at reducing the seeker's emotional distress through supportive response.
no code implementations • 24 Jan 2024 • Dongmyoung Lee, Wei Chen, Nicolas Rojas
In this work, we propose a synthetic data generation method that minimizes human intervention and makes downstream image segmentation algorithms more robust by combining a generated synthetic dataset with a smaller real-world dataset (hybrid dataset).
no code implementations • 17 Jan 2024 • Yihan Du, R. Srikant, Wei Chen
In the cascading bandit model, at each timestep, an agent recommends an ordered subset of items (called an item list) from a pool of items, each associated with an unknown attraction probability.
1 code implementation • 16 Jan 2024 • Xiaohui Zhang, Eric C. Landsness, Hanyang Miao, Wei Chen, Michelle Tang, Lindsey M. Brier, Joseph P. Culver, Jin-Moo Lee, Mark A. Anastasio
Comparison with Existing Method: On a 3-hour WFCI recording, the CNN-BiLSTM achieved a kappa of 0. 67, comparable to a kappa of 0. 65 corresponding to the human EEG/EMG-based scoring.
2 code implementations • 7 Jan 2024 • He Wang, Pengcheng Guo, Wei Chen, Pan Zhou, Lei Xie
This paper delineates the visual speech recognition (VSR) system introduced by the NPU-ASLP-LiAuto (Team 237) in the first Chinese Continuous Visual Speech Recognition Challenge (CNVSRC) 2023, engaging in the fixed and open tracks of Single-Speaker VSR Task, and the open track of Multi-Speaker VSR Task.
no code implementations • 7 Jan 2024 • He Wang, Pengcheng Guo, Yue Li, Ao Zhang, Jiayao Sun, Lei Xie, Wei Chen, Pan Zhou, Hui Bu, Xin Xu, BinBin Zhang, Zhuo Chen, Jian Wu, Longbiao Wang, Eng Siong Chng, Sun Li
To promote speech processing and recognition research in driving scenarios, we build on the success of the Intelligent Cockpit Speech Recognition Challenge (ICSRC) held at ISCSLP 2022 and launch the ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition (ICMC-ASR) Challenge.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 29 Dec 2023 • Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen
Information extraction (IE) aims to extract structural knowledge (such as entities, relations, and events) from plain natural language texts.
1 code implementation • 27 Dec 2023 • Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen
This complexity is particularly evident in molecular mixtures, a frequently explored space for materials such as battery electrolytes.
1 code implementation • 21 Dec 2023 • Qinying Liu, Wei Wu, Kecheng Zheng, Zhan Tong, Jiawei Liu, Yu Liu, Wei Chen, Zilei Wang, Yujun Shen
The crux of learning vision-language models is to extract semantically aligned information from visual and linguistic data.
no code implementations • 19 Dec 2023 • Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
Despite the emergence of numerous methods aimed at addressing this challenge, they are not fully identified to the structure that two observed variables are influenced by one latent variable and there might be a directed edge in between.
no code implementations • 16 Dec 2023 • Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng
We decompose the robust ranking error into two components, i. e., a natural ranking error for effectiveness evaluation and a boundary ranking error for assessing adversarial robustness.
no code implementations • 16 Dec 2023 • Wei Chen, Gang Zhao, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei
Automatic psychological counseling requires mass of professional knowledge that can be found in online counseling forums.
1 code implementation • 15 Dec 2023 • Xiaofeng Zhang, Zishan Xu, Hao Tang, Chaochen Gu, Wei Chen, Shanying Zhu, Xinping Guan
Low-light image enhancement is a crucial visual task, and many unsupervised methods tend to overlook the degradation of visible information in low-light scenes, which adversely affects the fusion of complementary information and hinders the generation of satisfactory results.
no code implementations • 4 Dec 2023 • Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin
Temporal knowledge graphs (TKGs) have been identified as a promising approach to represent the dynamics of facts along the timeline.
no code implementations • 1 Dec 2023 • Chao Chen, Wei Chen, Di Zhao, Jianqi Chen, Li Qiu
This paper introduces a brand-new phase definition called the segmental phase for multi-input multi-output linear time-invariant systems.
no code implementations • 28 Nov 2023 • Jianqi Chen, Wei Chen, Chao Chen, Li Qiu
In addition, the inverse operations of the considered connections, that is, network subtractions with correspondences are examined.
no code implementations • 14 Nov 2023 • Yangfan Li, Satyajit Mojumder, Ye Lu, Abdullah Al Amin, Jiachen Guo, Xiaoyu Xie, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
In the context of laser powder bed fusion (LPBF) additive manufacturing, a digital twin of the manufacturing process can offer predictions for the produced parts, diagnostics for manufacturing defects, as well as control capabilities.
no code implementations • 6 Nov 2023 • Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng
The first-stage retrieval aims to retrieve a subset of candidate documents from a huge collection both effectively and efficiently.
no code implementations • 27 Oct 2023 • Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen
Recently, Arjevani et al. [1] established a lower bound of iteration complexity for the first-order optimization under an $L$-smooth condition and a bounded noise variance assumption.
1 code implementation • 23 Oct 2023 • Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, Zhongyu Wei
We propose Multiple Experts Fine-tuning Framework to build a financial large language model (LLM), DISC-FinLLM.
no code implementations • 23 Oct 2023 • Yigitcan Comlek, LiWei Wang, Wei Chen
So far, global sensitivity studies have often been limited to design spaces with only quantitative (numerical) design variables.
1 code implementation • 22 Oct 2023 • Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
To answer the questions, we leverage the power of Large Language Models (LLMs) and introduce the first-ever LLM-enhanced framework that integrates the knowledge of textual modality into urban imagery profiling, named LLM-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining (UrbanCLIP).
1 code implementation • CIKM 2023 • Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen
Great efforts have been made on this task with competitive performance, however, they usually treat the two subtasks, namely span detection and type classification, as mutually independent, and the integrity and correlation between subtasks have been largely ignored.
Ranked #3 on Few-shot NER on Few-NERD (INTER)
1 code implementation • 20 Oct 2023 • Shuhan Wu, Huaiyu Wan, Wei Chen, Yuting Wu, Junfeng Shen, Youfang Lin
To address these issues, we propose a novel knowledge graph reasoning approach, the Relational rUle eNhanced Graph Neural Network (RUN-GNN).
no code implementations • 16 Oct 2023 • Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Wei Chen, Khaled B. Letaief
We first provide a comprehensive study on the convergence of AirComp-based FedAvg (AirFedAvg) algorithms under both strongly convex and non-convex settings with constant and diminishing learning rates in the presence of data heterogeneity.
no code implementations • 10 Oct 2023 • Yukun Cheng, Wei Chen, Lun Li, Bo Ai
Deep learning based decoding networks have shown significant improvement in decoding LDPC codes, but the neural decoders are limited by rate-matching operations such as puncturing or extending, thus needing to train multiple decoders with different code rates for a variety of channel conditions.
no code implementations • 5 Oct 2023 • Yi-Ping Chen, LiWei Wang, Yigitcan Comlek, Wei Chen
However, most existing MF methods rely on the hierarchical assumption of fidelity levels or fail to capture the intercorrelation between multiple fidelity levels and utilize it to quantify the value of the future samples and navigate the adaptive sampling.
no code implementations • 28 Sep 2023 • Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang
With a simple yet efficient gating mechanism, our proposed method achieves fast and accurate depth completion without the need for additional branches or post-processing steps.
no code implementations • 21 Sep 2023 • Maolin Liu, Wei Chen, Jialong Xu, Bo Ai
Recently, deep joint source channel coding (DJSCC) techniques have been extensively studied and have shown significant performance with limited bandwidth and low signal to noise ratio.
2 code implementations • 20 Sep 2023 • Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei
We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services.
no code implementations • 1 Sep 2023 • Wei Chen, Yuanwei Liu, Hamid Jafarkhani, Yonina C. Eldar, Peiying Zhu, Khaled B Letaief
Wireless communication systems to date primarily rely on the orthogonality of resources to facilitate the design and implementation, from user access to data transmission.
no code implementations • 29 Aug 2023 • Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
We put forward a novel Continual-LEarner for generatiVE Retrieval (CLEVER) model and make two major contributions to continual learning for GR: (i) To encode new documents into docids with low computational cost, we present Incremental Product Quantization, which updates a partial quantization codebook according to two adaptive thresholds; and (ii) To memorize new documents for querying without forgetting previous knowledge, we propose a memory-augmented learning mechanism, to form meaningful connections between old and new documents.
1 code implementation • 28 Aug 2023 • Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, Zhongyu Wei
We propose DISC-MedLLM, a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare services.
1 code implementation • 24 Aug 2023 • Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng
The key idea is to reformulate the Variational Auto-encoder (VAE) to fit the joint distribution of the document and summary variables from the training corpus.
1 code implementation • 22 Aug 2023 • Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng
First-stage retrieval is a critical task that aims to retrieve relevant document candidates from a large-scale collection.
no code implementations • 20 Aug 2023 • Yechen Zhang, Jian Sun, Gang Wang, Zhuo Li, Wei Chen
Discrete reinforcement learning (RL) algorithms have demonstrated exceptional performance in solving sequential decision tasks with discrete action spaces, such as Atari games.
no code implementations • 19 Aug 2023 • Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
The AREA task is meant to trick DR models into retrieving a target document that is outside the initial set of candidate documents retrieved by the DR model in response to a query.
no code implementations • 17 Aug 2023 • Junkai Qian, Yuning Jiang, Xin Liu, Qing Wang, Ting Wang, Yuanming Shi, Wei Chen
To effectively learn the optimal EV charging control strategy, a federated deep reinforcement learning algorithm named FedSAC is further proposed.
no code implementations • 15 Aug 2023 • Shigui Li, Wei Chen, Delu Zeng
Based on the RD method and the truncated Taylor expansion of score-integrand, we propose SciRE-Solver with the convergence order guarantee for accelerating sampling of DMs.
Ranked #7 on Image Generation on CIFAR-10
1 code implementation • 10 Aug 2023 • Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei zhang
Drawing inspiration from this, we devise a novel Behavior Augmented Relevance Learning model for Alipay Search (BARL-ASe) that leverages neighbor queries of target item and neighbor items of target query to complement target query-item semantic matching.
1 code implementation • 9 Aug 2023 • Weixiao Wan, Wei Chen, Shiyue Wang, Geoffrey Ye Li, Bo Ai
The proposed method corresponding to these three channel reconstruction tasks employs a common DL model, which greatly reduces the overhead of model training and storage.
1 code implementation • 31 Jul 2023 • Yujia Zheng, Biwei Huang, Wei Chen, Joseph Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering.
no code implementations • ICCV 2023 • Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen
To bring the useful knowledge back into light, we first identify a set of parameters that are important to a given downstream task, then attach a binary mask to each parameter, and finally optimize these masks on the downstream data with the parameters frozen.
no code implementations • 26 Jul 2023 • Wei zhang, Jian-Wei Zhang, Kam Kwai Wong, Yifang Wang, Yingchaojie Feng, Luwei Wang, Wei Chen
Second, we created a four-stage framework to illustrate the purposes of TCP applications.
1 code implementation • 18 Jul 2023 • Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong, Sijia Wang, Yuhong Lu, Minfeng Zhu, Baicheng Wang, Wei Chen
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts.
1 code implementation • 17 Jul 2023 • Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus J. J. van Dam, Deyu Lu
With this dataset, we trained graph neural fingerprint docking models for high-throughput virtual COVID-19 drug screening.
1 code implementation • 12 Jul 2023 • Lang Zeng, Jipeng Zhang, Wei Chen, Ying Ding
In pursuit of constructing a dynamic prediction model for a progressive eye disorder, age-related macular degeneration (AMD), we propose a time-dependent Cox survival neural network (tdCoxSNN) to predict its progression using longitudinal fundus images.
no code implementations • 1 Jul 2023 • Doksoo Lee, Wei Wayne Chen, LiWei Wang, Yu-Chin Chan, Wei Chen
Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature.
no code implementations • 25 Jun 2023 • Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
assumption is often violated due to the inherent dependencies among the event sequences.
no code implementations • 22 Jun 2023 • Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Xueqi Cheng
Recently, we have witnessed generative retrieval increasingly gaining attention in the information retrieval (IR) field, which retrieves documents by directly generating their identifiers.
no code implementations • 19 Jun 2023 • Jing Dong, Jingyu Wu, Siwei Wang, Baoxiang Wang, Wei Chen
The congestion game is a powerful model that encompasses a range of engineering systems such as traffic networks and resource allocation.
no code implementations • 17 Jun 2023 • Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
This paper proposes a model called TMR to mine valuable information from simulated data environments.
no code implementations • 16 Jun 2023 • Wei Chen, Weitao Du, Zhi-Ming Ma, Qi Meng
We study a kind of new SDE that was arisen from the research on optimization in machine learning, we call it power-law dynamic because its stationary distribution cannot have sub-Gaussian tail and obeys power-law.
no code implementations • 15 Jun 2023 • Wei zhang, Wong Kam-Kwai, Yitian Chen, Ailing Jia, Luwei Wang, Jian-Wei Zhang, Lechao Cheng, Huamin Qu, Wei Chen
The study of cultural artifact provenance, tracing ownership and preservation, holds significant importance in archaeology and art history.
no code implementations • 15 Jun 2023 • Jingwen Fu, Bohan Wang, Huishuai Zhang, Zhizheng Zhang, Wei Chen, Nanning Zheng
In the comparison of SGDM and SGD with the same effective learning rate and the same batch size, we observe a consistent pattern: when $\eta_{ef}$ is small, SGDM and SGD experience almost the same empirical training losses; when $\eta_{ef}$ surpasses a certain threshold, SGDM begins to perform better than SGD.
no code implementations • 5 Jun 2023 • Fan Yan, Xumeng Wang, Ketian Mao, Wei zhang, Wei Chen
A non-fungible token (NFT) is a data unit stored on the blockchain.
no code implementations • 4 Jun 2023 • Yulin He, Wei Chen, Yusong Tan, Siqi Wang
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects.
no code implementations • 31 May 2023 • Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
In light of the power of the closed-form solution to OICA corresponding to the One-Latent-Component structure, we formulate a way to estimate the mixing matrix using the higher-order cumulants, and further propose the testable One-Latent-Component condition to identify the latent variables and determine causal orders.
no code implementations • 29 May 2023 • Bohan Wang, Huishuai Zhang, Zhi-Ming Ma, Wei Chen
We provide a simple convergence proof for AdaGrad optimizing non-convex objectives under only affine noise variance and bounded smoothness assumptions.
no code implementations • 26 May 2023 • Wei Chen, Shiqi Wei, Zhongyu Wei, Xuanjing Huang
Symptom diagnosis in medical conversations aims to correctly extract both symptom entities and their status from the doctor-patient dialogue.
1 code implementation • 25 May 2023 • Yiliu Wang, Wei Chen, Milan Vojnović
We propose an algorithm and provide a regret bound for problem instances with stochastic arm outcomes according to arbitrary distributions with finite supports.
no code implementations • 23 May 2023 • Xiao Gong, Wei Chen, Bo Ai, Geert Leus
To achieve accurate and low-latency channel estimation, good and fast CP decomposition algorithms are desired.
no code implementations • 22 May 2023 • Lei Guo, Wei Chen, Yuxuan Sun, Bo Ai
Additionally, structured pruning is incorporated to reduce the dimension of the transmitted features.
no code implementations • 21 May 2023 • Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
Then we reduce submodular bandit with partition matroid constraint and bandit sequential monotone maximization to the online bandit learning of the monotone multi-linear DR-submodular functions, attaining $O(T^{2/3}\log T)$ of $(1-1/e)$-regret in both problems, which improve the existing results.
no code implementations • 18 May 2023 • Lufeng Wang, Jiepeng Liu, Guozhong Cheng, En Liu, Wei Chen
Shear wall structures are widely used in high-rise residential buildings, and the layout of shear walls requires many years of design experience and iterative trial and error.
no code implementations • 12 May 2023 • Yanna Bai, Wei Chen, Bo Ai, Petar Popovski
Grant-free non-orthogonal multiple access has been regarded as a viable approach to accommodate access for a massive number of machine-type devices with small data packets.
no code implementations • 4 May 2023 • Jingxuan He, Lechao Cheng, Chaowei Fang, Dingwen Zhang, Zhangye Wang, Wei Chen
A surge of interest has emerged in weakly supervised semantic segmentation due to its remarkable efficiency in recent years.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
1 code implementation • 28 Apr 2023 • Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
In this paper, we focus on a more general type of perturbation and introduce the topic-oriented adversarial ranking attack task against NRMs, which aims to find an imperceptible perturbation that can promote a target document in ranking for a group of queries with the same topic.
1 code implementation • 13 Apr 2023 • Haozhe Feng, Zhaorui Yang, Hesun Chen, Tianyu Pang, Chao Du, Minfeng Zhu, Wei Chen, Shuicheng Yan
Recently, SFDA has gained popularity due to the need to protect the data privacy of the source domain, but it suffers from catastrophic forgetting on the source domain due to the lack of data.
no code implementations • 10 Apr 2023 • Cong Zou, Wei Chen
It was the L_2 L_infinity performance index that for the first time is initiated into the discussion on state estimation of delayed MJNNs with with partially known transition probabilities, which provides a more general promotion for the estimation error. The WTOD protocol is adopted to dispatch the sensor nodes so as to effectively alleviate the updating frequency of output signals.
no code implementations • 8 Apr 2023 • Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
Although existing TKG reasoning methods have the ability to predict missing future events, they fail to generate explicit reasoning paths and lack explainability.
no code implementations • 6 Apr 2023 • Wei Chen, Hongwei Xu, Jelo Wang
The pipeline differs from professional head-mounted facial capture solutions in that it only requires the use of a consumer-grade 3D camera on the desk to achieve high-precision real-time facial capture.
no code implementations • 4 Apr 2023 • Gaochen Dong, Wei Chen
This method mitigates data distribution deviation caused by quantization, eliminating the requirement for retraining.
no code implementations • 4 Apr 2023 • Noptanit Chotisarn, Sarun Gulyanon, Tianye Zhang, Wei Chen
Hence, this work proposes a novel visualization design for creating a scrollytelling that can effectively explain an AI concept to non-technical users.
no code implementations • 30 Mar 2023 • Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
We study contextual combinatorial bandits with probabilistically triggered arms (C$^2$MAB-T) under a variety of smoothness conditions that capture a wide range of applications, such as contextual cascading bandits and contextual influence maximization bandits.
no code implementations • 17 Mar 2023 • Ming Li, Chengfeng Lin, Wei Chen, Yusheng Liu, Shuming Gao, Qiang Zou
As such, it can establish a direct mapping between design models and analysis models, which in turn enables automatic updates on simulation results for design modifications, and vice versa -- effectively a closed loop between CAD and CAE.
no code implementations • 16 Mar 2023 • Gaochen Dong, Wei Chen
With the popularity of the recent Transformer-based models represented by BERT, GPT-3 and ChatGPT, there has been state-of-the-art performance in a range of natural language processing tasks.
1 code implementation • 13 Mar 2023 • Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu
On the one hand, CEL blends each token with multiple patches of different scales, providing the self-attention module itself with cross-scale features.
no code implementations • 6 Mar 2023 • Yulin He, Wei Chen, Ke Liang, Yusong Tan, Zhengfa Liang, Yulan Guo
Our proposed method, Pseudo-label Correction and Learning (PCL), is extensively evaluated on the MS COCO and PASCAL VOC benchmarks.
no code implementations • 24 Feb 2023 • Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
Video-Text Retrieval (VTR) aims to search for the most relevant video related to the semantics in a given sentence, and vice versa.
1 code implementation • 17 Feb 2023 • Yigitcan Comlek, Thang Duc Pham, Randall Snurr, Wei Chen
Our approach provides three main advantages: (i) no specific physical descriptors are required and only building blocks that construct the MOFs are used in global optimization through qualitative representations, (ii) the method is application and property independent, and (iii) the latent variable approach provides an interpretable model of qualitative building blocks with physical justification.
1 code implementation • 14 Feb 2023 • Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou
In this paper, we introduce a learning-to-rank query optimizer, called Lero, which builds on top of a native query optimizer and continuously learns to improve the optimization performance.
1 code implementation • 11 Feb 2023 • Wei Chen, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
Trajectory-User Linking (TUL) is crucial for human mobility modeling by linking diferent trajectories to users with the exploration of complex mobility patterns.
1 code implementation • 31 Jan 2023 • Shi Feng, Nuoya Xiong, Wei Chen
This paper studies the CCB problem without the graph structure on binary general causal models and BGLMs.
1 code implementation • 28 Jan 2023 • Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin
BAFFLE is 1) memory-efficient and easily fits uploading bandwidth; 2) compatible with inference-only hardware optimization and model quantization or pruning; and 3) well-suited to trusted execution environments, because the clients in BAFFLE only execute forward propagation and return a set of scalars to the server.
no code implementations • 25 Jan 2023 • Yingchaojie Feng, Xingbo Wang, Bo Pan, Kam Kwai Wong, Yi Ren, Shi Liu, Zihan Yan, Yuxin Ma, Huamin Qu, Wei Chen
Our research explores how to provide explanations for NLIs to help users locate the problems and further revise the queries.
no code implementations • 11 Jan 2023 • Zhu Liang, Matthew R. Carbone, Wei Chen, Fanchen Meng, Eli Stavitski, Deyu Lu, Mark S. Hybertsen, Xiaohui Qu
A new semi-supervised machine learning method for the discovery of structure-spectrum relationships is developed and demonstrated using the specific example of interpreting X-ray absorption near-edge structure (XANES) spectra.
no code implementations • 11 Jan 2023 • Yongqiang Mao, Kaiqiang Chen, Liangjin Zhao, Wei Chen, Deke Tang, Wenjie Liu, Zhirui Wang, Wenhui Diao, Xian Sun, Kun fu
Our Building3D is rooted in the SFFDE network for building elevation prediction, synchronized with a building extraction network for building masks, and then sequentially performs point cloud reconstruction, surface reconstruction (or CityGML model reconstruction).
2 code implementations • 2 Jan 2023 • Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks
Reading comprehension of legal text can be a particularly challenging task due to the length and complexity of legal clauses and a shortage of expert-annotated datasets.
no code implementations • 21 Dec 2022 • Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen
A computational graph in a deep neural network (DNN) denotes a specific data flow diagram (DFD) composed of many tensors and operators.
no code implementations • 9 Dec 2022 • Wei Chen, Xi Jia, Zhongqun Zhang, Hyung Jin Chang, Linlin Shen, Jinming Duan, Ales Leonardis
The proposed rotation representation has two major advantages: 1) decoupled characteristic that makes the rotation estimation easier; 2) flexible length and rotated angle of the vectors allow us to find a more suitable vector representation for specific pose estimation task.
no code implementations • 29 Nov 2022 • Wei Chen, Weixiao Wan, Shiyue Wang, Peng Sun, Geoffrey Ye Li, Bo Ai
The CSI is compressed via linear projections at the UE, and is recovered at the BS using deep learning (DL) with plug-and-play priors (PPP).
1 code implementation • 29 Nov 2022 • Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng, Wenqi Lu, Zhaowen Qiu, Jinming Duan
Specifically, instead of our Fourier-Net learning to output a full-resolution displacement field in the spatial domain, we learn its low-dimensional representation in a band-limited Fourier domain.
Ranked #3 on Medical Image Registration on OASIS (val dsc metric)
1 code implementation • 27 Nov 2022 • Wei Chen, Chen Li, Dan Chen, Xin Luo
Self-supervised pre-training has become the priory choice to establish reliable neural networks for automated recognition of massive biomedical microscopy images, which are routinely annotation-free, without semantics, and without guarantee of quality.
no code implementations • 21 Nov 2022 • Wei Chen, Yansheng Li, Bo Dang, Yongjun Zhang
This paper presents EHSNet, a new end-to-end segmentation network designed for the holistic learning of large-size remote sensing image semantic segmentation (LRISS).
1 code implementation • 15 Nov 2022 • Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen
To mitigate the bias, we develop an entropy-targeted active learning (ET-AL) framework, which guides the acquisition of new data to improve the diversity of underrepresented crystal systems.
no code implementations • 8 Nov 2022 • Dan Wang, Wei Chen, Li Qiu
They can also model the controllers of the agents which may be different for each agent or uniform for all the agents.
no code implementations • 7 Nov 2022 • Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, HaoDong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian
While numerous solutions have been proposed for this problem, they are usually quite computationally demanding, demonstrating low FPS rates and power efficiency on mobile devices.
1 code implementation • 4 Nov 2022 • Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley
However, this plug-in approach will not account for uncertainty in estimation of the LVs, which can be significant especially with limited training data.
no code implementations • 27 Oct 2022 • Rudong An, Wei zhang, Hao Zeng, Wei Chen, Zhigang Deng, Yu Ding
Then, AU feature maps and their corresponding AU masks are multiplied to generate AU masked features focusing on local facial region.
no code implementations • 25 Oct 2022 • Zhipeng Hu, Wei zhang, Lincheng Li, Yu Ding, Wei Chen, Zhigang Deng, Xin Yu
We find that AUs and facial expressions are highly associated, and existing facial expression datasets often contain a large number of identities.
2 code implementations • 13 Oct 2022 • Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen
With a rethink of recent advances, we find that the current FSS framework has deviated far from the supervised segmentation framework: Given the deep features, FSS methods typically use an intricate decoder to perform sophisticated pixel-wise matching, while the supervised segmentation methods use a simple linear classification head.
no code implementations • 4 Oct 2022 • Zixuan Zhang, Yuning Jiang, Yuanming Shi, Ye Shi, Wei Chen
This paper develops an optimal EV charging/discharging control strategy for different EV users under dynamic environments to maximize EV users' benefits.
1 code implementation • 14 Sep 2022 • Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng
A ranking model is said to be Certified Top-$K$ Robust on a ranked list when it is guaranteed to keep documents that are out of the top $K$ away from the top $K$ under any attack.
no code implementations • 9 Sep 2022 • Yanfang Mo, Wei Chen, Keyou You, Li Qiu
We propose and examine two optimal $(0, 1)$-matrix completion problems with majorization ordered objectives.
1 code implementation • 3 Sep 2022 • Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao
A more challenging scenario is that emerging KGs consist of only unseen entities, called as disconnected emerging KGs (DEKGs).
no code implementations • 3 Sep 2022 • Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao
Multi-modal knowledge graphs (MKGs) include not only the relation triplets, but also related multi-modal auxiliary data (i. e., texts and images), which enhance the diversity of knowledge.
no code implementations • 31 Aug 2022 • Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
Under this new condition, we propose a BCUCB-T algorithm with variance-aware confidence intervals and conduct regret analysis which reduces the $O(K)$ factor to $O(\log K)$ or $O(\log^2 K)$ in the regret bound, significantly improving the regret bounds for the above applications.
1 code implementation • COLING 2022 • Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
Recently, some span-based methods have achieved encouraging performances for joint aspect-sentiment analysis, which first extract aspects (aspect extraction) by detecting aspect boundaries and then classify the span-level sentiments (sentiment classification).
no code implementations • 21 Aug 2022 • Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Zhi-Ming Ma, Tie-Yan Liu, Wei Chen
In particular, the existing analysis of Adam cannot clearly demonstrate the advantage of Adam over SGD.
no code implementations • 15 Aug 2022 • Yuxue Ren, Baowei Jiang, Wei Chen, Na lei, Xianfeng David Gu
We present a novel, effective method for global point cloud registration problems by geometric topology.
1 code implementation • 21 Jul 2022 • Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha
We present a trajectory prediction approach with respect to traffic lights, D2-TPred, which uses a spatial dynamic interaction graph (SDG) and a behavior dependency graph (BDG) to handle the problem of discontinuous dependency in the spatial-temporal space.
no code implementations • 11 Jul 2022 • Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen
Data-driven design shows the promise of accelerating materials discovery but is challenging due to the prohibitive cost of searching the vast design space of chemistry, structure, and synthesis methods.
no code implementations • 27 Jun 2022 • Xiaodong Yang, Huishuai Zhang, Wei Chen, Tie-Yan Liu
By ensuring differential privacy in the learning algorithms, one can rigorously mitigate the risk of large models memorizing sensitive training data.
no code implementations • IEEE Transactions on Circuits and Systems for Video Technology 2022 • Wei Chen, Xuefeng Liu, Jianwei Niu
The visual storytelling (VIST) task aims at generating reasonable, human-like and coherent stories with the image streams as input.
Ranked #5 on Visual Storytelling on VIST
no code implementations • 16 Jun 2022 • Nuoya Xiong, Wei Chen
The combinatorial pure exploration of causal bandits is the following online learning task: given a causal graph with unknown causal inference distributions, in each round we choose a subset of variables to intervene or do no intervention, and observe the random outcomes of all random variables, with the goal that using as few rounds as possible, we can output an intervention that gives the best (or almost best) expected outcome on the reward variable $Y$ with probability at least $1-\delta$, where $\delta$ is a given confidence level.
1 code implementation • 4 Jun 2022 • Shi Feng, Wei Chen
For the special case of linear models with hidden variables, we apply causal inference techniques such as the do-calculus to convert the original model into a Markovian model, and then show that our BGLM-OFU algorithm and another algorithm based on the linear regression both solve such linear models with hidden variables.
1 code implementation • 25 May 2022 • Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
We propose a new learning framework that captures the tiered structure of many real-world user-interaction applications, where the users can be divided into two groups based on their different tolerance on exploration risks and should be treated separately.
1 code implementation • 8 May 2022 • Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
In this paper, we propose a novel Mutual distillation learning network to solve the TUL problem for sparse check-in mobility data, named MainTUL.
1 code implementation • 8 May 2022 • Wei Chen, Cheng Zhong, Jiajie Peng, Zhongyu Wei
Diagnosis-oriented dialogue system queries the patient's health condition and makes predictions about possible diseases through continuous interaction with the patient.
no code implementations • 7 May 2022 • Zijian Li, Ruichu Cai, Jiawei Chen, Yuguan Yan, Wei Chen, Keli Zhang, Junjian Ye
Based on this inspiration, we investigate the domain-invariant unweighted sparse associative structures and the domain-variant strengths of the structures.
1 code implementation • ACL 2022 • Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan
Dialog response generation in open domain is an important research topic where the main challenge is to generate relevant and diverse responses.
1 code implementation • 19 Apr 2022 • Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience.
no code implementations • 19 Apr 2022 • Wei Chen, Jie Zhao, Wan-Lei Zhao, Song-Yuan Wu
In this paper, a single-stage monocular 3D object detection model is proposed.
1 code implementation • 13 Apr 2022 • Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu
Stochastic partial differential equations (SPDEs) are significant tools for modeling dynamics in many areas including atmospheric sciences and physics.
no code implementations • 7 Apr 2022 • Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, MD Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
This paper proposes a novel framework for automatically capturing the time-frequency nature of electroencephalogram (EEG) signals of human sleep based on the authoritative sleep medicine guidance.
1 code implementation • CVPR 2022 • Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
In this paper, a temporal optimization is proposed by optimizing the evolutionary time for forward propagation of the neural ODE training.
1 code implementation • 21 Feb 2022 • Wei Wayne Chen, Doksoo Lee, Oluwaseyi Balogun, Wei Chen
To address this issue, we propose a Generative Adversarial Network-based Design under Uncertainty Framework (GAN-DUF), which contains a deep generative model that simultaneously learns a compact representation of nominal (ideal) designs and the conditional distribution of fabricated designs given any nominal design.
no code implementations • 21 Feb 2022 • Doksoo Lee, Yu-Chin Chan, Wei Wayne Chen, LiWei Wang, Anton van Beek, Wei Chen
Distinctly, we seek a solution to a commonplace yet frequently overlooked scenario at early stages of data-driven design of metamaterials: when a massive (~O(10^4 )) shape-only library has been prepared with no properties evaluated.
no code implementations • 16 Feb 2022 • Yihan Du, Wei Chen
In this paper, we propose a novel Branching Reinforcement Learning (Branching RL) model, and investigate both Regret Minimization (RM) and Reward-Free Exploration (RFE) metrics for this model.
no code implementations • 16 Jan 2022 • Di Zhao, Wei Chen, Li Qiu
In this paper, we investigate the feedback stability of multiple-input multiple-output linear time-invariant systems with combined gain and phase information.
1 code implementation • 13 Jan 2022 • Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu
By explicitly Reconstructing Exposure STrategies (REST in short), we formalize the recommendation problem as the counterfactual reasoning and propose the debiased social recommendation method.
no code implementations • 5 Jan 2022 • Esin Darici Haritaoglu, Nicholas Rasmussen, Daniel C. H. Tan, Jennifer Ranjani J., Jaclyn Xiao, Gunvant Chaudhari, Akanksha Rajput, Praveen Govindan, Christian Canham, Wei Chen, Minami Yamaura, Laura Gomezjurado, Aaron Broukhim, Amil Khanzada, Mert Pilanci
The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide.
no code implementations • 29 Dec 2021 • Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou
Based on the high level architecture, we then describe a concrete implementation of Baihe for PostgreSQL and present example use cases for learned query optimizers.
1 code implementation • 15 Dec 2021 • Wei Wayne Chen, Doksoo Lee, Wei Chen
Deep generative models have demonstrated effectiveness in learning compact and expressive design representations that significantly improve geometric design optimization.
no code implementations • 7 Dec 2021 • Rong Zhu, Tianjing Zeng, Andreas Pfadler, Wei Chen, Bolin Ding, Jingren Zhou
Cardinality estimation (CardEst), a central component of the query optimizer, plays a significant role in generating high-quality query plans in DBMS.
1 code implementation • NeurIPS 2021 • Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu
To avoid such a spurious correlation, we propose \textbf{La}tent \textbf{C}ausal \textbf{I}nvariance \textbf{M}odels (LaCIM) that specifies the underlying causal structure of the data and the source of distributional shifts, guiding us to pursue only causal factor for prediction.
1 code implementation • 1 Dec 2021 • Yu-Chin Chan, Daicong Da, LiWei Wang, Wei Chen
We propose to inherit the advantages of both through a data-driven framework for multiclass functionally graded structures that mixes several families, i. e., classes, of microstructure topologies to create spatially-varying designs with guaranteed feasibility.
1 code implementation • 18 Nov 2021 • Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao
This method simultaneously integrates the following two tasks: 1) clustering samples of the subjects with the same causal mechanism into different groups; 2) learning causal structures from the samples within the group.
no code implementations • NeurIPS 2021 • Fang Kong, Yueran Yang, Wei Chen, Shuai Li
These are the first theoretical results for TS to solve CMAB with a common approximation oracle and break the misconception that TS cannot work with approximation oracles.
1 code implementation • 1 Nov 2021 • Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
We are the first to unveil an important population property of the perturbations of these attacks: they are almost \textbf{linearly separable} when assigned with the target labels of the corresponding samples, which hence can work as \emph{shortcuts} for the learning objective.
no code implementations • 29 Oct 2021 • Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
In this paper, we formulate a Collaborative Pure Exploration in Kernel Bandit problem (CoPE-KB), which provides a novel model for multi-agent multi-task decision making under limited communication and general reward functions, and is applicable to many online learning tasks, e. g., recommendation systems and network scheduling.
no code implementations • NeurIPS 2021 • Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
We prove that with constraint to guarantee low empirical risk, the optimal noise covariance is the square root of the expected gradient covariance if both the prior and the posterior are jointly optimized.
1 code implementation • 26 Oct 2021 • Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Bin Shao, Tie-Yan Liu
In this paper, we propose a framework to construct SE(3) equivariant graph neural networks that can approximate the geometric quantities efficiently.
no code implementations • 19 Oct 2021 • Atul Sharma, Wei Chen, Joshua Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi
The attack uses the intuition that simply by changing the sign of the gradient updates that the optimizer is computing, for a set of malicious clients, a model can be diverted from the optima to increase the test error rate.
no code implementations • 8 Oct 2021 • Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
The momentum acceleration technique is widely adopted in many optimization algorithms.
1 code implementation • ICLR 2022 • Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu
In this paper, we first enforce a low-rank filter subspace by decomposing convolutional filters within each network layer over a small set of filter atoms.