no code implementations • ECCV 2020 • Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian
Sufficient knowledge extraction from the teacher network plays a critical role in the knowledge distillation task to improve the performance of the student network.
no code implementations • 14 May 2024 • Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah H. Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology.
1 code implementation • 8 May 2024 • Wentao Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao
Thus, we propose a novel method that uses MLLMs to caption images according to various templates.
no code implementations • 6 May 2024 • Xiaoxue Yu, Xingfu Yi, Rongpeng Li, Fei Wang, Chenghui Peng, Zhifeng Zhao, Honggang Zhang
Existing distributed learning frameworks like Federated Learning and Split Learning often struggle with significant challenges in dynamic network environments including high synchronization demands, costly communication overheads, severe computing resource consumption, and data heterogeneity across network nodes.
1 code implementation • 19 Apr 2024 • Shanmin Wang, Hui Shuai, Qingshan Liu, Fei Wang
In this paper, we propose a new Multimodal Representation Learning (MRL) method for Multimodal Sentiment Analysis (MSA), which facilitates the adaptive interaction between modalities through Cooperative Sentiment Agents, named Co-SA.
no code implementations • 17 Apr 2024 • James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
Despite the strong capabilities of Large Language Models (LLMs) to acquire knowledge from their training corpora, the memorization of sensitive information in the corpora such as copyrighted, harmful, and private content has led to ethical and legal concerns.
no code implementations • 15 Apr 2024 • Yang Liu, Jiahua Xiao, Yu Guo, Peilin Jiang, Haiwei Yang, Fei Wang
Effectively discerning spatial-spectral dependencies in HSI denoising is crucial, but prevailing methods using convolution or transformers still face computational efficiency limitations.
no code implementations • 2 Apr 2024 • Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
Temporal Knowledge Graph Question Answering (TKGQA) aims to answer questions with temporal intent over Temporal Knowledge Graphs (TKGs).
no code implementations • 2 Apr 2024 • Adamo Young, Fei Wang, David Wishart, Bo wang, Hannes Röst, Russ Greiner
The process of identifying a compound from its mass spectrum is a critical step in the analysis of complex mixtures.
no code implementations • 24 Mar 2024 • Qin Liu, Fei Wang, Nan Xu, Tianyi Yan, Tao Meng, Muhao Chen
In this paper, we propose monotonic paraphrasing (MonoPara), an end-to-end decoding strategy that paraphrases given prompts or instructions into their lower perplexity counterparts based on an ensemble of a paraphrase LM for prompt (or instruction) rewriting, and a target LM (i. e. the prompt or instruction executor) that constrains the generation for lower perplexity.
1 code implementation • 14 Mar 2024 • Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu
This paper posits that the key to enhancing Vision Mamba (ViM) lies in optimizing scan directions for sequence modeling.
2 code implementations • 12 Mar 2024 • Fei Wang, Dan Guo, Kun Li, Zhun Zhong, Meng Wang
To this end, we present FD4MM, a new paradigm of Frequency Decoupling for Motion Magnification with a Multi-level Isomorphic Architecture to capture multi-level high-frequency details and a stable low-frequency structure (motion field) in video space.
no code implementations • 12 Mar 2024 • Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, ZiYi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
Frontier general-domain models such as GPT-4V still have significant performance gaps in multimodal biomedical applications.
1 code implementation • 10 Mar 2024 • Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
In this paper, we introduce a substantial crowdsourcing annotation dataset collected from a real-world crowdsourcing platform.
no code implementations • 10 Mar 2024 • Fei Wang, Chao Shang, Sarthak Jain, Shuai Wang, Qiang Ning, Bonan Min, Vittorio Castelli, Yassine Benajiba, Dan Roth
We investigate common constraints in NLP tasks, categorize them into three classes based on the types of their arguments, and propose a unified framework, ACT (Aligning to ConsTraints), to automatically produce supervision signals for user alignment with constraints.
1 code implementation • 10 Mar 2024 • Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang
In this paper, we propose an innovative Bit-mask Robust Contrastive knowledge Distillation (BRCD) method, specifically devised for the distillation of semantic hashing models.
no code implementations • 9 Mar 2024 • Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Specifically, based on the idea of estimating the posterior distributions of cognitive diagnosis model parameters, we first provide a unified objective function for mini-batch based optimization that can be more efficiently applied to a wide range of models and large datasets.
no code implementations • 27 Feb 2024 • Peng Gao, Shi-Min Li, Feng Gao, Fei Wang, Ru-Yue Yuan, Hamido Fujita
Deep learning-based methods monopolize the latest research in the field of thermal infrared (TIR) object tracking.
no code implementations • 22 Feb 2024 • Peng Gao, Tao Yu, Fei Wang, Ru-Yue Yuan
Designing distributed filtering circuits (DFCs) is complex and time-consuming, with the circuit performance relying heavily on the expertise and experience of electronics engineers.
no code implementations • 22 Feb 2024 • Peng Gao, Peng Wang, Feng Gao, Fei Wang, Ruyue Yuan
As a long-term vision in the field of artificial intelligence, the core goal of embodied intelligence is to improve the perception, understanding, and interaction capabilities of agents and the environment.
no code implementations • 20 Feb 2024 • Fei Wang, Ruohui Zhang, Chenglin Chen, Min Yang, Yun Bai
The prediction map determines whether an object is in a crowd, and we prioritize state estimations over observations when severe deformation of observations occurs, accomplished through the covariance adaptive Kalman filter.
1 code implementation • 17 Feb 2024 • Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
Instruction tuning has been used as a promising approach to improve the performance of large language models (LLMs) on unseen tasks.
no code implementations • 14 Feb 2024 • Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
This design stems from our empirical observation that beam search decoding is ultimately unnecessary for sequential recommendations.
no code implementations • 13 Feb 2024 • Yixiang Yao, Fei Wang, Srivatsan Ravi, Muhao Chen
Language Models as a Service (LMaaS) offers convenient access for developers and researchers to perform inference using pre-trained language models.
no code implementations • 25 Jan 2024 • Mingquan Lin, TianHao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng
Our proposed AI model utilizes supervised contrastive learning to minimize bias in CXR diagnosis.
1 code implementation • 21 Jan 2024 • Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen
The exorbitant cost of training Large language models (LLMs) from scratch makes it essential to fingerprint the models to protect intellectual property via ownership authentication and to ensure downstream users and developers comply with their license terms (e. g. restricting commercial use).
no code implementations • 27 Dec 2023 • Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong
CornNet adopts a teacher-student architecture where a teacher model learns question representations using human writing reformulations, and a student model to mimic the teacher model's output via reformulations generated by LLMs.
1 code implementation • 27 Dec 2023 • Tianyang Liu, Fei Wang, Muhao Chen
Large Language Models (LLMs) have shown to be capable of various tasks, yet their capability in interpreting and reasoning over tabular data remains an underexplored area.
Ranked #1 on Semantic Parsing on WikiTableQuestions
no code implementations • 22 Dec 2023 • Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
However, the development of multi-source domain generalization in this task presents two notable issues: (1) negative transfer; (2) inadequate modeling for external factors.
no code implementations • 19 Dec 2023 • Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
Complex spatial dependencies in transportation networks make traffic prediction extremely challenging.
no code implementations • 14 Dec 2023 • Yuan Sun, Xuan Wang, Yunfan Zhang, Jie Zhang, Caigui Jiang, Yu Guo, Fei Wang
We present a method named iComMa to address the 6D camera pose estimation problem in computer vision.
1 code implementation • 7 Dec 2023 • Fei Wang, Dan Guo, Kun Li, Meng Wang
Then, we introduce a novel dynamic filter that eliminates noise cues and preserves critical features in the motion magnification and amplification generation phases.
no code implementations • 19 Nov 2023 • Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng
Evidence-based medicine promises to improve the quality of healthcare by empowering medical decisions and practices with the best available evidence.
no code implementations • 16 Nov 2023 • Nan Xu, Fei Wang, Ben Zhou, Bang Zheng Li, Chaowei Xiao, Muhao Chen
While large language models (LLMs) have demonstrated increasing power, they have also given rise to a wide range of harmful behaviors.
1 code implementation • 16 Nov 2023 • Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen
During the construction of the evidence, we purposefully replace semantic clues (entities) that may lead to the correct answer with distractor clues (evidence) that will not directly lead to the correct answer but require a chain-like reasoning process.
no code implementations • 15 Nov 2023 • Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan
These annotators could leave substantial historical annotation records on the crowdsourcing platforms, which can benefit label aggregation, but are ignored by previous works.
1 code implementation • 28 Oct 2023 • Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen
Many discriminative natural language understanding (NLU) tasks have large label spaces.
no code implementations • 25 Oct 2023 • Jacqueline Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
Causal discovery is crucial for causal inference in observational studies: it can enable the identification of valid adjustment sets (VAS) for unbiased effect estimation.
no code implementations • 23 Oct 2023 • Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
Specifically, we first analyzed multiple graphs and observed that marginal nodes in graphs have a worse performance of downstream tasks than others in graph neural networks.
no code implementations • 13 Oct 2023 • Zhao Su, Rongxun Liu, Keyin Zhou, Xinru Wei, Ning Wang, Zexin Lin, Yuanchen Xie, Jie Wang, Fei Wang, Shenzhong Zhang, Xizhe Zhang
The relationship between symptom severity and response time was explored, and a machine learning model was developed to predict the presence of insomnia.
1 code implementation • 10 Oct 2023 • Fei Wang, Kongzhang Tang, Hefeng Wu, Baoquan Zhao, Hao Cai, Teng Zhou
Compared with natural images, freehand sketches are much more flexible to depict various shapes, providing a high potential and valuable way for 3D human reconstruction.
3 code implementations • 9 Oct 2023 • Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
Moreover, based on the proposed BasicTS and rich heterogeneous MTS datasets, we conduct an exhaustive and reproducible performance and efficiency comparison of popular models, providing insights for researchers in selecting and designing MTS forecasting models.
no code implementations • 21 Sep 2023 • Fei Wang, Jan Komenda, Feng Lin
This paper investigates the coordination control of discrete event systems in the presence of combined sensor and actuator attacks.
no code implementations • 19 Sep 2023 • Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
In this paper, we propose a simple yet effective method, SALT, to improve the zero-shot cross-lingual transfer of the multilingual pretrained language models without the help of such external data.
no code implementations • 1 Sep 2023 • Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su
However, we notice that this paradigm leads to the inevitable non-identifiability and explainability overfitting problem, which is harmful to the quantification of learners' cognitive states and the quality of web learning services.
no code implementations • 29 Aug 2023 • Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong
In the ever-evolving landscape of user-item interactions, continual adaptation to newly collected data is crucial for recommender systems to stay aligned with the latest user preferences.
1 code implementation • 24 Aug 2023 • Xiao Xu, Yang Wang, Xinru Wei, Fei Wang, Xizhe Zhang
To rectify this, we present the novel Attention-Based Acoustic Feature Fusion Network (ABAFnet) for depression detection.
1 code implementation • 24 Aug 2023 • Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
The multimedia community has shown a significant interest in perceiving and representing the physical world with multimodal pretrained neural network models, and among them, the visual-language pertaining (VLP) is, currently, the most captivating topic.
1 code implementation • 21 Aug 2023 • Mingkai Zheng, Shan You, Lang Huang, Xiu Su, Fei Wang, Chen Qian, Xiaogang Wang, Chang Xu
Moreover, to further boost the performance, we propose ``distributional consistency" as a more informative regularization to enable similar instances to have a similar probability distribution.
2 code implementations • ICCV 2023 • Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu
Semi-Supervised image classification is one of the most fundamental problem in computer vision, which significantly reduces the need for human labor.
no code implementations • 7 Aug 2023 • Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
Multivariate time series long-term prediction, which aims to predict the change of data in a long time, can provide references for decision-making.
1 code implementation • 5 Aug 2023 • Yong liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang
Since the high resolution of intermediate features in SISR models increases memory and computational requirements, efficient SISR transformers are more favored.
no code implementations • 27 Jul 2023 • Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
Then, we propose a novel Hierarchical U-net TransFormer (HUTFormer) to address the issues of long-term traffic forecasting.
1 code implementation • 27 Jul 2023 • Sen Cui, Weishen Pan, ChangShui Zhang, Fei Wang
xOrder consistently achieves a better balance between the algorithm utility and ranking fairness on a variety of datasets with different metrics.
1 code implementation • 19 Jul 2023 • Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Fei Wang, Faen Zhang, Yong Li, Xiu-Shen Wei
The SnakeCLEF2023 competition aims to the development of advanced algorithms for snake species identification through the analysis of images and accompanying metadata.
no code implementations • 14 Jul 2023 • Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng
In this scoping review, we aim to provide a comprehensive overview of the current state of the field and identify key concepts, types of studies, and research gaps with a focus on biomedical images and texts joint learning, mainly because these two were the most commonly available data types in MDL research.
no code implementations • 5 Jul 2023 • Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li
As a result, recent studies have attempted to harness the power of LLMs to enhance recommender systems.
no code implementations • 20 Jun 2023 • Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
Background: The predictive Intensive Care Unit (ICU) scoring system plays an important role in ICU management because it predicts important outcomes, especially mortality.
no code implementations • 14 Jun 2023 • Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
While diffusion models excel at generating high-quality samples, their latent variables typically lack semantic meaning and are not suitable for representation learning.
no code implementations • 7 Jun 2023 • Hejie Cui, Jiaying Lu, Shiyu Wang, ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Tianfan Fu, Liang Zhao, Joyce Ho, Fei Wang, Carl Yang
This work aims to serve as a valuable resource for understanding the potential and opportunities of HKG in health research.
no code implementations • 1 Jun 2023 • Xingfu Yi, Rongpeng Li, Chenghui Peng, Fei Wang, Jianjun Wu, Zhifeng Zhao
The rapid development of artificial intelligence (AI) over massive applications including Internet-of-things on cellular network raises the concern of technical challenges such as privacy, heterogeneity and resource efficiency.
1 code implementation • 30 May 2023 • Fei Wang, Jun Cheng
To this end, we propose a high-quality decoder (HQDec), with which multilevel near-lossless fine-grained information, obtained by the proposed adaptive axial-normalized position-embedded channel attention sampling module (AdaAxialNPCAS), can be adaptively incorporated into a low-resolution feature map with high-level semantics utilizing the proposed adaptive information exchange scheme.
1 code implementation • 28 May 2023 • Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen
However, previous ensemble-based debiasing methods typically apply debiasing on top-level logits without directly addressing biased attention patterns.
1 code implementation • NeurIPS 2023 • Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
To address this, we propose to denoise student features using a diffusion model trained by teacher features.
1 code implementation • 24 May 2023 • Tanay Dixit, Fei Wang, Muhao Chen
However, most of the prior works on training factuality-aware models have ignored the negative effect it has on summary quality.
1 code implementation • 24 May 2023 • Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen
Building upon this SCM, we propose causal intervention techniques to mitigate entity bias for both white-box and black-box settings.
no code implementations • 24 May 2023 • Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen
We investigate security concerns of the emergent instruction tuning paradigm, that models are trained on crowdsourced datasets with task instructions to achieve superior performance.
1 code implementation • 24 May 2023 • Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen
Language models are often at risk of diverse backdoor attacks, especially data poisoning.
1 code implementation • 22 May 2023 • Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
In principle, textual context determines the ground-truth relation and the RE models should be able to correctly identify the relations reflected by the textual context.
no code implementations • 18 May 2023 • Yanjie Fu, Meng Ge, Honglong Wang, Nan Li, Haoran Yin, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang
Recently, stunning improvements on multi-channel speech separation have been achieved by neural beamformers when direction information is available.
no code implementations • 16 May 2023 • Feng-Lei Fan, Wei Huang, Xiangru Zhong, Lecheng Ruan, Tieyong Zeng, Huan Xiong, Fei Wang
A ReLU network is a piecewise linear function over polytopes.
no code implementations • 11 May 2023 • Yingqiang Ge, Mostafa Rahmani, Athirai Irissappane, Jose Sepulveda, James Caverlee, Fei Wang
In real-world scenarios, most platforms collect both large-scale, naturally noisy implicit feedback and small-scale yet highly relevant explicit feedback.
no code implementations • 10 May 2023 • Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
By offering a more comprehensive approach to healthcare data integration, patchwork learning has the potential to revolutionize the clinical applicability of ML models.
no code implementations • 26 Apr 2023 • Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
In this paper, we discuss the misalignment between technical and clinical perspectives of AI fairness, highlight the barriers to AI fairness' translation to healthcare, advocate multidisciplinary collaboration to bridge the knowledge gap, and provide possible solutions to address the clinical concerns pertaining to AI fairness.
1 code implementation • 21 Apr 2023 • Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, Samuel Albanie
We investigate the potential of GPT-4~\cite{gpt4} to perform Neural Architecture Search (NAS) -- the task of designing effective neural architectures.
no code implementations • 15 Apr 2023 • Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
We formulate context sampling into the Markov decision process and exploit deep reinforcement learning to optimize the time series domain adaptation process via context sampling and design a tailored reward function to generate domain-invariant features that better align two domains for anomaly detection.
no code implementations • 12 Apr 2023 • Shiwei Zhang, Zhengzheng Wang, Qing Liu, Fei Wang, Wei Ke, Tong Zhang
This paper presents a new annotation method called Sparse Annotation (SA) for crowd counting, which reduces human labeling efforts by sparsely labeling individuals in an image.
no code implementations • 11 Apr 2023 • Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong
Graph Neural Networks (GNNs) have been widely applied on a variety of real-world applications, such as social recommendation.
no code implementations • 15 Mar 2023 • Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang
We propose to extract medical facts of the input medical report, its gold summary, and candidate summaries based on the RadGraph schema and design the fact-guided reranker to efficiently incorporate the extracted medical facts for selecting the optimal summary.
1 code implementation • 11 Mar 2023 • Zheqi Zhu, Yuchen Shi, Jiajun Luo, Fei Wang, Chenghui Peng, Pingyi Fan, Khaled B. Letaief
By adopting layer-wise pruning in local training and federated updating, we formulate an explicit FL pruning framework, FedLP (Federated Layer-wise Pruning), which is model-agnostic and universal for different types of deep learning models.
no code implementations • 31 Jan 2023 • Xinru Wei, Shuai Dong, Zhao Su, Lili Tang, Pengfei Zhao, Chunyu Pan, Fei Wang, Yanqing Tang, Weixiong Zhang, Xizhe Zhang
Subtyping neuropsychiatric disorders like schizophrenia is essential for improving the diagnosis and treatment of complex diseases.
no code implementations • 26 Jan 2023 • Mingquan Lin, Yuyun Xiao, BoJian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng
In the United States, primary open-angle glaucoma (POAG) is the leading cause of blindness, especially among African American and Hispanic individuals.
no code implementations • 23 Jan 2023 • Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang
In the human brain, neuronal diversity is an enabling factor for all kinds of biological intelligent behaviors.
1 code implementation • ICCV 2023 • Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li
The SCL loss weakens the adverse effects of the data augmentation view-noise problem which is amplified in domain transfer tasks.
Ranked #3 on Universal Domain Adaptation on Office-31
no code implementations • 19 Dec 2022 • Peng Gao, Feng Gao, Jian-Cheng Ni, Yu Wang, Fei Wang
Drug-drug interaction prediction is a crucial issue in molecular biology.
no code implementations • 12 Dec 2022 • Fei Wang, Jun Cheng, Penglei Liu
Photometric differences are widely used as supervision signals to train neural networks for estimating depth and camera pose from unlabeled monocular videos.
no code implementations • 8 Dec 2022 • Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
Transformer-based sequential recommenders are very powerful for capturing both short-term and long-term sequential item dependencies.
no code implementations • 7 Dec 2022 • Yanjie Fu, Haoran Yin, Meng Ge, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang
Recently, many deep learning based beamformers have been proposed for multi-channel speech separation.
no code implementations • 2 Dec 2022 • Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
Graph neural networks have achieved significant success in representation learning.
no code implementations • 2 Dec 2022 • Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Fei Wang, Baigui Sun, Xuansong Xie, Yu Qiao
Intuitively, FR algorithms can benefit from both the estimation of uncertainty and the detection of out-of-distribution (OOD) samples.
1 code implementation • CVPR 2023 • Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang
We present SadTalker, which generates 3D motion coefficients (head pose, expression) of the 3DMM from audio and implicitly modulates a novel 3D-aware face render for talking head generation.
no code implementations • CVPR 2023 • Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang
Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application.
no code implementations • 21 Nov 2022 • Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li
The SCL loss weakens the adverse effects of the data augmentation view-noise problem which is amplified in domain transfer tasks.
no code implementations • 10 Nov 2022 • Canyu Chen, Haoran Wang, Matthew Shapiro, Yunyu Xiao, Fei Wang, Kai Shu
Because of the uniqueness and importance of combating health misinformation in social media, we conduct this survey to further facilitate interdisciplinary research on this problem.
no code implementations • 7 Nov 2022 • Chengsheng Mao, Jie Xu, Luke Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
Materials and Methods: We identified 3657 patients diagnosed with MCI together with their progress notes from Northwestern Medicine Enterprise Data Warehouse (NMEDW) between 2000-2020.
1 code implementation • 22 Oct 2022 • Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
Recent literature adds extractive summaries as guidance for abstractive summarization models to provide hints of salient content and achieves better performance.
Ranked #7 on Abstractive Text Summarization on CNN / Daily Mail
no code implementations • 17 Oct 2022 • Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang, Fei Wang, Volodymyr Kuleshov
The cost of manual data labeling can be a significant obstacle in supervised learning.
no code implementations • 11 Oct 2022 • Matthew Brendel, Chang Su, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang
Single-cell RNA-sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously.
no code implementations • 6 Oct 2022 • Yuanbin Wang, Leyan Zhu, Shaofei Huang, Tianrui Hui, Xiaojie Li, Fei Wang, Si Liu
To better bridge the domain gap between source domain (synthetic data) and target domain (real-world data), we also propose a Selective Feature Alignment (SFA) module which only aligns the features of consistent foreground area between the two domains, thus realizing inter-domain intra-modality adaptation.
no code implementations • 7 Sep 2022 • Jingcong Li, Fei Wang, Haiyun Huang, Feifei Qi, JiaHui Pan
The proposed SSML learns a meta model with the existing subjects first, then fine-tunes the model in a semi-supervised learning manner, i. e. using few labeled and many unlabeled samples of target subject for calibration.
1 code implementation • 10 Aug 2022 • Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
These results suggest that we can design efficient and effective models as long as they solve the indistinguishability of samples, without being limited to STGNNs.
1 code implementation • 18 Jul 2022 • Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Yu Guo, Ding Liu, Lean Fu, Fei Wang
We develop two simple yet effective plug and play methods to improve the performance of existing local and non-local propagation-based VSR algorithms on widely-used public videos.
1 code implementation • 15 Jul 2022 • Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian
Recently, community has paid increasing attention on model scaling and contributed to developing a model family with a wide spectrum of scales.
1 code implementation • 12 Jul 2022 • Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu
We observe that the core difficulty for heterogeneous KD (hetero-KD) is the significant semantic gap between the backbone features of heterogeneous detectors due to the different optimization manners.
no code implementations • 12 Jul 2022 • Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang
The second issue refers to that models may output misleading predictions due to epistemic uncertainty and aleatoric uncertainty, thus existing methods that rely solely on the output probabilities may fail to distinguish confident samples.
1 code implementation • 12 Jul 2022 • Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
Vision transformers (ViTs) are usually considered to be less light-weight than convolutional neural networks (CNNs) due to the lack of inductive bias.
no code implementations • 19 Jun 2022 • Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong
Despite the success of the Sylvester equation empowered methods on various graph mining applications, such as semi-supervised label learning and network alignment, there also exists several limitations.
2 code implementations • 18 Jun 2022 • Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
However, the patterns of time series and the dependencies between them (i. e., the temporal and spatial patterns) need to be analyzed based on long-term historical MTS data.
Ranked #2 on Traffic Prediction on PEMS-BAY (using extra training data)
no code implementations • 18 Jun 2022 • Jianmin Chen, Robert H. Aseltine, Fei Wang, Kun Chen
In a suicide risk study with EHR data, our approach is able to select and aggregate prior mental health diagnoses as guided by the diagnosis hierarchy of the International Classification of Diseases.
1 code implementation • 18 Jun 2022 • Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
However, intuitively, traffic data encompasses two different kinds of hidden time series signals, namely the diffusion signals and inherent signals.
Ranked #3 on Traffic Prediction on PEMS-BAY
no code implementations • 10 Jun 2022 • Xizhe Zhang, Fei Wang, Weixiong Zhang
They questioned the generalizability of our methods and the statistical significance, stability, and overfitting of the results, and proposed a pipeline for disease subtyping.
1 code implementation • 29 May 2022 • Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
To obtain a group of masks, the receptive tokens are learned via the regular task loss but with teacher fixed, and we also leverage a Dice loss to enrich the diversity of learned masks.
1 code implementation • 26 May 2022 • Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki
We present an efficient approach for Masked Image Modeling (MIM) with hierarchical Vision Transformers (ViTs), allowing the hierarchical ViTs to discard masked patches and operate only on the visible ones.
1 code implementation • 25 May 2022 • Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen
Due to shortcuts from surface patterns to annotated entity labels and biased training, existing entity typing models are subject to the problem of spurious correlations.
2 code implementations • 21 May 2022 • Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
In this paper, we show that simply preserving the relations between the predictions of teacher and student would suffice, and propose a correlation-based loss to capture the intrinsic inter-class relations from the teacher explicitly.
Ranked #2 on Knowledge Distillation on ImageNet (using extra training data)
2 code implementations • 11 May 2022 • Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.
1 code implementation • NAACL 2022 • Fei Wang, Zhewei Xu, Pedro Szekely, Muhao Chen
This prunes the full self-attention structure into an order-invariant graph attention that captures the connected graph structure of cells belonging to the same row or column, and it differentiates between relevant cells and irrelevant cells from the structural perspective.
Ranked #2 on Data-to-Text Generation on ToTTo
1 code implementation • CVPR 2022 • Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang, Chen Qian, Tianzhu Zhang
Earlier works follow a top-down roadmap to regress predefined anchors into various shapes of lane lines, which lacks enough flexibility to fit complex shapes of lanes due to the fixed anchor shapes.
Ranked #4 on Lane Detection on TuSimple (F1 score metric)
no code implementations • 10 Apr 2022 • Adrienne Kline, Hanyin Wang, Yikuan Li, Saya Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
Attempts to improve prediction and resemble the multimodal nature of clinical expert decision-making this has been met in the computational field of machine learning by a fusion of disparate data.
1 code implementation • Findings (ACL) 2022 • Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang, Zhiyong He
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity inference.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • 30 Mar 2022 • Mingfei Chen, Yue Liao, Si Liu, Fei Wang, Jenq-Neng Hwang
RS takes previous detected results as references to aggregate the corresponding features from the combined features of the adjacent frames and makes a one-to-one track state prediction for each reference in parallel.
1 code implementation • CVPR 2022 • Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki
In this paper, we present a new approach, Learning Where to Learn (LEWEL), to adaptively aggregate spatial information of features, so that the projected embeddings could be exactly aligned and thus guide the feature learning better.
1 code implementation • CVPR 2023 • Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang
Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications.
1 code implementation • 25 Mar 2022 • Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu
In BCNet, each channel is fairly trained and responsible for the same amount of network widths, thus each network width can be evaluated more accurately.
2 code implementations • CVPR 2022 • Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
Structural re-parameterization (Rep) methods achieve noticeable improvements on simple VGG-style networks.
no code implementations • 16 Mar 2022 • Mingkai Zheng, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu
Self-supervised Learning (SSL) including the mainstream contrastive learning has achieved great success in learning visual representations without data annotations.
Ranked #60 on Self-Supervised Image Classification on ImageNet
1 code implementation • CVPR 2022 • Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu
Learning with few labeled data has been a longstanding problem in the computer vision and machine learning research community.
1 code implementation • 8 Mar 2022 • Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, DaCheng Tao
In contrast to previous works, we focus on the reproducibility of the approaches and the examination of the elements that lead to improved performance by pretrained and nonpretrained models in retrieving images and text.
2 code implementations • 28 Feb 2022 • Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu
Furthermore, an overlapped inference mechanism is introduced to effectively eliminate the boundary artifacts that are common for encoder-decoder-based denoising models.
1 code implementation • ICLR 2022 • Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu
Evaluation metrics in machine learning are often hardly taken as loss functions, as they could be non-differentiable and non-decomposable, e. g., average precision and F1 score.
1 code implementation • AAAI 2022 • Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou
In this work, we proposed a DDI detection method based on molecular structures using graph convolutional networks and deep sets.
no code implementations • 18 Jan 2022 • Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu
To evaluate our proposed method's utility and privacy loss, we apply our model on a medical report disease label classification task using two noisy challenging clinical text datasets.
2 code implementations • 14 Jan 2022 • Dayang Wang, Feng-Lei Fan, Bo-Jian Hou, Hao Zhang, Zhen Jia, Boce Zhou, Rongjie Lai, Hengyong Yu, Fei Wang
A neural network with the widely-used ReLU activation has been shown to partition the sample space into many convex polytopes for prediction.
no code implementations • 13 Jan 2022 • Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
Today's cyber-world is vastly multivariate.
1 code implementation • CVPR 2022 • Dan Zeng, Zhiyuan Lin, Xiao Yan, YuTing Liu, Fei Wang, Bo Tang
To combat the mismatch between FR and FER data, Meta-Face2Exp uses a circuit feedback mechanism, which improves the base network with the feedback from the adaptation network.
1 code implementation • 9 Dec 2021 • Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang
Instead of estimating alignment information, we propose a simple and effective deep Recurrent Neural Network with Multi-scale Bi-directional Propagation (RNN-MBP) to effectively propagate and gather the information from unaligned neighboring frames for better video deblurring.
Ranked #12 on Deblurring on GoPro
no code implementations • 9 Dec 2021 • Fei Wang, Xilei Wu, Xin Wang, Jianlei Chi, Jingang Shi, Dong Huang
We propose UWash, an intelligent solution upon smartwatches, to assess handwashing for the purpose of raising users' awareness and cultivating habits in high-quality handwashing.
1 code implementation • 6 Dec 2021 • Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li
Challenges of the problem include 1) how to align large-scale entities between sources to share information and 2) how to mitigate negative transfer from joint learning multi-source data.
no code implementations • CVPR 2022 • Tao Huang, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu
In this paper, we leverage an explicit path filter to capture the characteristics of paths and directly filter those weak ones, so that the search can be thus implemented on the shrunk space more greedily and efficiently.
no code implementations • 31 Oct 2021 • BoJian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang
As a result, clinicians cannot easily or rapidly scrutinize the CDSS recommendation when facing a difficult diagnosis or treatment decision in practice.
2 code implementations • 25 Oct 2021 • Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou
In this paper we define and investigate the problem of \emph{persona authentication}: learning a conversational policy to verify the consistency of persona models.
1 code implementation • 12 Oct 2021 • Feng-Lei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang
Despite promising results so far achieved by networks of quadratic neurons, there are important issues not well addressed.
1 code implementation • 11 Oct 2021 • Chengxi Zang, Fei Wang
We propose a general supervised contrastive loss $\mathcal{L}_{\text{Contrastive Cross Entropy} } + \lambda \mathcal{L}_{\text{Supervised Contrastive Regularizer}}$ for learning both binary classification (e. g. in-hospital mortality prediction) and multi-label classification (e. g. phenotyping) in a unified framework.
1 code implementation • ICCV 2021 • Mingkai Zheng, Fei Wang, Shan You, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu
Specifically, our proposed framework is based on two projection heads, one of which will perform the regular instance discrimination task.
no code implementations • 8 Oct 2021 • Richard Hugh Moulton, Behnam Behinaein Hamgini, Zahra Abedi Khouzani, Rômulo Meira-Góes, Fei Wang, Karen Rudie
In discrete-event system control, the worst-case time complexity for computing a system's observer is exponential in the number of that system's states.
no code implementations • 29 Sep 2021 • Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun
In this work, we propose an adversarial training based modification to the current state-of-the-arts link prediction method to solve this problem.
no code implementations • 13 Sep 2021 • Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, ChangShui Zhang, Fei Wang
We empirically validated the existence of such user feedback-loop bias in real world recommendation systems and compared the performance of our method with the baseline models that are either without de-biasing or with propensity scores estimated by other methods.
1 code implementation • Findings (EMNLP) 2021 • Fei Wang, Kexuan Sun, Jay Pujara, Pedro Szekely, Muhao Chen
From one perspective, our system conducts masked salient token prediction to enhance the model for alignment and reasoning between the table and the statement.
Ranked #8 on Table-based Fact Verification on TabFact
no code implementations • 31 Aug 2021 • Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
Graph neural networks for heterogeneous graph embedding is to project nodes into a low-dimensional space by exploring the heterogeneity and semantics of the heterogeneous graph.
1 code implementation • 29 Aug 2021 • Shao-Qun Zhang, Fei Wang, Feng-Lei Fan
Inspired by a width-depth symmetry consideration, we use a shortcut network to show that increasing the depth of a neural network can also give rise to a Gaussian process, which is a valuable addition to the existing theory and contributes to revealing the true picture of deep learning.
1 code implementation • NeurIPS 2021 • Sen Cui, Weishen Pan, Jian Liang, ChangShui Zhang, Fei Wang
In this paper, we propose an FL framework to jointly consider performance consistency and algorithmic fairness across different local clients (data sources).
1 code implementation • 18 Aug 2021 • Sen Cui, Jian Liang, Weishen Pan, Kun Chen, ChangShui Zhang, Fei Wang
Federated learning (FL) refers to the paradigm of learning models over a collaborative research network involving multiple clients without sacrificing privacy.
no code implementations • 15 Aug 2021 • Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
Modeling inter-dependencies between time-series is the key to achieve high performance in anomaly detection for multivariate time-series data.
no code implementations • 11 Aug 2021 • Weishen Pan, Sen Cui, Jiang Bian, ChangShui Zhang, Fei Wang
Algorithmic fairness has aroused considerable interests in data mining and machine learning communities recently.
2 code implementations • NeurIPS 2021 • Mingkai Zheng, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu
Self-supervised Learning (SSL) including the mainstream contrastive learning has achieved great success in learning visual representations without data annotations.
Ranked #78 on Self-Supervised Image Classification on ImageNet
no code implementations • 2 Jul 2021 • Peng Gao, Feng Gao, Peng Wang, Jian-Cheng Ni, Fei Wang, Hamido Fujita
Multi-hop machine reading comprehension is a challenging task in natural language processing as it requires more reasoning ability across multiple documents.
no code implementations • 29 Jun 2021 • Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal, Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Štruc, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana F. Sequeira, Joao Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso
These teams successfully submitted 18 valid solutions.
1 code implementation • 25 Jun 2021 • Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu
Vision transformers (ViTs) inherited the success of NLP but their structures have not been sufficiently investigated and optimized for visual tasks.
no code implementations • CVPR 2021 • Xinyi Zhang, Hang Dong, Jinshan Pan, Chao Zhu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Fei Wang
On the other hand, the video dehazing algorithms, which can acquire more satisfying dehazing results by exploiting the temporal redundancy from neighborhood hazy frames, receive less attention due to the absence of the video dehazing datasets.
2 code implementations • 15 Jun 2021 • Zhengze Zhou, Giles Hooker, Fei Wang
An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare.
no code implementations • 11 Jun 2021 • Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu
The operation weight for each path is represented as a convex combination of items in a dictionary with a simplex code.
no code implementations • CVPR 2021 • Xiu Su, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu
In BCNet, each channel is fairly trained and responsible for the same amount of network widths, thus each network width can be evaluated more accurately.
no code implementations • CVPR 2021 • Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang
Though 3D convolutions are amenable to recognizing which actor is performing the queried actions, it also inevitably introduces misaligned spatial information from adjacent frames, which confuses features of the target frame and yields inaccurate segmentation.
Ranked #8 on Referring Expression Segmentation on J-HMDB
1 code implementation • 4 May 2021 • Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro Szekely
The task of natural language table retrieval (NLTR) seeks to retrieve semantically relevant tables based on natural language queries.
no code implementations • International Conference on Digital Home 2021 • Fei Wang, Yu Yang, Baoquan Zhao, Dazhi Jiang, Siwei Chen, Jianqiang Sheng
It creates the transformation representation of a sketch by extracting the shape features of an input sketch and transformation template samples.
no code implementations • 11 Apr 2021 • Yang Liu, Shengmao Zhang, Fei Wang, Wei Fan, Guohua Zou, Jing Bo
The fish target detection algorithm lacks a good quality data set, and the algorithm achieves real-time detection with lower power consumption on embedded devices, and it is difficult to balance the calculation speed and identification ability.
1 code implementation • CVPR 2021 • Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu
One-shot neural architecture search (NAS) methods significantly reduce the search cost by considering the whole search space as one network, which only needs to be trained once.
2 code implementations • CVPR 2022 • Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li
As a result, practical solutions on label assignment, scale-level data augmentation, and reducing false alarms are necessary for advancing face detectors.
Ranked #13 on Face Detection on WIDER Face (Easy)
1 code implementation • CVPR 2021 • Mingfei Chen, Yue Liao, Si Liu, ZhiYuan Chen, Fei Wang, Chen Qian
To attain this, we map a trainable interaction query set to an interaction prediction set with a transformer.
Ranked #29 on Human-Object Interaction Detection on HICO-DET (using extra training data)
no code implementations • 10 Mar 2021 • Run Xiao, Di Xiao, Jue Jiang, Jae-Ho Shin, Fei Wang, Yi-Fan Zhao, Ruo-Xi Zhang, Anthony Richardella, Ke Wang, Morteza Kayyalha, Moses H. W. Chan, Chao-Xing Liu, Cui-Zu Chang, Nitin Samarth
We use magnetotransport in dual-gated magnetic topological insulator heterostructures to map out a phase diagram of the topological Hall and quantum anomalous Hall effects as a function of the chemical potential (primarily determined by the back gate voltage) and the asymmetric potential (primarily determined by the top gate voltage).
Mesoscale and Nanoscale Physics
no code implementations • ICLR 2021 • Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu
In this paper, to better evaluate each width, we propose a locally free weight sharing strategy (CafeNet) accordingly.
no code implementations • CVPR 2021 • Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin
Our method enables differentiable sparsification, and keeps the derived architecture equivalent to that of Engine-cell, which further improves the consistency between search and evaluation.
no code implementations • 22 Jan 2021 • Chunhao Liang, Sergey A. Ponomarenko, Fei Wang, Yangjian Cai
We discover the formation of a temporal boundary soliton (TBS) in the close proximity of a temporal boundary, moving in a nonlinear optical medium, upon high-intensity pulse collision with the boundary.
Optics Pattern Formation and Solitons
no code implementations • 11 Jan 2021 • Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, ArifulAzad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
This has been a major issue for developing ML models for the coronavirus-disease 2019 (COVID-19) pandemic where data is highly imbalanced, particularly within electronic health records (EHR) research.
no code implementations • 1 Jan 2021 • Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin
The Engine-cell is differentiable for architecture search, while the Transit-cell only transits the current sub-graph by architecture derivation.
no code implementations • ICCV 2021 • Ahmed Abusnaina, Yuhang Wu, Sunpreet Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen
We present the first graph-based adversarial detection method that constructs a Latent Neighborhood Graph (LNG) around an input example to determine if the input example is adversarial.
no code implementations • 1 Jan 2021 • Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, ChangShui Zhang
Differentiable neural architecture search (NAS) has gained much success in discovering more flexible and diverse cell types.
no code implementations • ICCV 2021 • Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang
Concretely, we introduce a privileged parameter so that the optimization direction does not necessarily follow the gradient from the privileged tasks, but concentrates more on the target tasks.
no code implementations • 2 Dec 2020 • Xiaokang Du, Fei Wang
Modular flavor symmetry can be used to explain the quark and lepton flavor structures.
High Energy Physics - Phenomenology
no code implementations • 2 Dec 2020 • Sendong Zhao, Bing Qin, Ting Liu, Fei Wang
This paper proposes a method BioGRER to improve the BioKG's quality, which comprehensively combines the knowledge graph embedding and logic rules that support and negate triplets in the BioKG.
1 code implementation • NeurIPS 2020 • Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, ChangShui Zhang
In this paper, we examine the diversity of teacher models in the gradient space and regard the ensemble knowledge distillation as a multi-objective optimization problem so that we can determine a better optimization direction for the training of student network.
no code implementations • 23 Nov 2020 • Zheng Dang, Fei Wang, Mathieu Salzmann
While much progress has been made on the task of 3D point cloud registration, there still exists no learning-based method able to estimate the 6D pose of an object observed by a 2. 5D sensor in a scene.
no code implementations • 18 Nov 2020 • Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, ChangShui Zhang
However, even for this consistent search, the searched cells often suffer from poor performance, especially for the supernet with fewer layers, as current DARTS methods are prone to wide and shallow cells, and this topology collapse induces sub-optimal searched cells.
no code implementations • 17 Nov 2020 • Minglei Lu, Yu Guo, Fei Wang, Zheng Dang
Recently, 3D version has been improved greatly due to the development of deep neural networks.
1 code implementation • 5 Nov 2020 • Zheng Yuan, Zhengyun Zhao, Haixia Sun, Jiao Li, Fei Wang, Sheng Yu
This paper proposes CODER: contrastive learning on knowledge graphs for cross-lingual medical term representation.
no code implementations • 28 Oct 2020 • Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu
To deploy a well-trained CNN model on low-end computation edge devices, it is usually supposed to compress or prune the model under certain computation budget (e. g., FLOPs).
1 code implementation • NeurIPS 2020 • Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
By doing so, our network for search at each update satisfies the sparsity constraint and is efficient to train.
no code implementations • 12 Oct 2020 • Jian Liang, Kun Chen, Ming Lin, ChangShui Zhang, Fei Wang
FMR is an effective scheme for handling sample heterogeneity, where a single regression model is not enough for capturing the complexities of the conditional distribution of the observed samples given the features.
no code implementations • 11 Oct 2020 • Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai
We further extend our method to a meta-learning framework to pursue more thorough domain-difference elimination.
no code implementations • 6 Oct 2020 • Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts
We show the importance and feasibility of learning comprehensive representations of patient EHR data through a systematic review.
no code implementations • 5 Sep 2020 • Wenjie Wang, Chongliang Luo, Robert H. Aseltine, Fei Wang, Jun Yan, Kun Chen
Motivated by the pressing need for suicide prevention through improving behavioral healthcare, we use medical claims data to study the risk of subsequent suicide attempts for patients who were hospitalized due to suicide attempts and later discharged.
no code implementations • 25 Aug 2020 • Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang
Federated Learning(FL) is a newly developed privacy-preserving machine learning paradigm to bridge data repositories without compromising data security and privacy.
no code implementations • 21 Aug 2020 • Jie Xu, Wei zhang, Fei Wang
A popular distributed learning strategy is federated learning, where there is a central server storing the global model and a set of local computing nodes updating the model parameters with their corresponding data.
no code implementations • 24 Jul 2020 • Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.
1 code implementation • 20 Jul 2020 • Karan Yang, Chengxi Zang, Fei Wang
Drug discovery aims at designing novel molecules with specific desired properties for clinical trials.
1 code implementation • ACL 2020 • Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li
In this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task.
Ranked #2 on Coreference Resolution on CoNLL 2012 (using extra training data)
1 code implementation • 17 Jun 2020 • Chengxi Zang, Fei Wang
Generating molecular graphs with desired chemical properties driven by deep graph generative models provides a very promising way to accelerate drug discovery process.
1 code implementation • 15 Jun 2020 • Sen Cui, Weishen Pan, Chang-Shui Zhang, Fei Wang
Bipartite ranking, which aims to learn a scoring function that ranks positive individuals higher than negative ones from labeled data, is widely adopted in various applications where sample prioritization is needed.