no code implementations • 27 Mar 2024 • Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu, Chong Chen, Qi Tian
However, general LLMs, which are developed on open-domain data, may lack the domain-specific knowledge essential for tasks in vertical domains, such as legal, medical, etc.
no code implementations • 27 Mar 2024 • Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu, Chong Chen, Qi Tian
Most of the existing works focus on improving the representation ability for the contextualized embedding of the [CLS] token and calculate relevance using textual semantic similarity.
no code implementations • 27 Mar 2024 • Shengjie Ma, Chong Chen, Qi Chu, Jiaxin Mao
Nonetheless, the method of employing a general large language model for reliable relevance judgments in legal case retrieval is yet to be thoroughly explored.
no code implementations • 27 Feb 2024 • Preethi Chandrasekaran, Chong Chen, Yingmin Liu, Syed Murtaza Arshad, Christopher Crabtree, Matthew Tong, Yuchi Han, Rizwan Ahmad
Conclusions: The study demonstrates that RT ExCMR with in-magnet exercise is a feasible and effective method for dynamic cardiac function monitoring during exercise.
no code implementations • 2 Feb 2024 • Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
To tackle the above issues, we propose a neural Spatial-Temporal Delay Differential Equation model, namely STDDE.
no code implementations • 25 Dec 2023 • Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
Rather than directly dismissing the role of incremental learning, we ascribe this lack of anticipated performance improvement to the mismatch between the LLM4Recarchitecture and incremental learning: LLM4Rec employs a single adaptation module for learning recommendation, hampering its ability to simultaneously capture long-term and short-term user preferences in the incremental learning context.
1 code implementation • 5 Dec 2023 • Xinhang Li, Chong Chen, Xiangyu Zhao, Yong Zhang, Chunxiao Xing
Furthermore, practical ID-based recommendation strategies, reliant on a huge number of unique identities (IDs) to represent users and items, have gained prominence in real-world recommender systems due to their effectiveness and efficiency.
1 code implementation • 1 Dec 2023 • Xuan Lei, Philip Schniter, Chong Chen, Rizwan Ahmad
Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data.
no code implementations • 1 Dec 2023 • Muhammad Ahmad Sultan, Chong Chen, Yingmin Liu, Rizwan Ahmad
In the second study, we use data from a realistic late gadolinium enhancement (LGE) phantom to compare DISCUS with compressed sensing (CS) and DIP and to demonstrate the positive impact of group sparsity.
no code implementations • 21 Sep 2023 • Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
This paper studies the problem of traffic flow forecasting, which aims to predict future traffic conditions on the basis of road networks and traffic conditions in the past.
1 code implementation • 16 Aug 2023 • Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Chong Chen, Fuli Feng, Qi Tian
As the focus on Large Language Models (LLMs) in the field of recommendation intensifies, the optimization of LLMs for recommendation purposes (referred to as LLM4Rec) assumes a crucial role in augmenting their effectiveness in providing recommendations.
1 code implementation • 4 Aug 2023 • Syed M. Arshad, Lee C. Potter, Chong Chen, Yingmin Liu, Preethi Chandrasekaran, Christopher Crabtree, Yuchi Han, Rizwan Ahmad
For validation, CORe is first compared to traditional compressed sensing (CS), robust regression (RR), and another outlier rejection method using two simulation studies.
no code implementations • 4 Aug 2023 • Yanyan Li, Ke Chen, Chong Chen, Jianping Zhang
In this paper, we propose a new bi-variant diffeomorphic image registration model that introduces a soft constraint on the Jacobian equation $\det(\nabla\bm{\varphi}(\bm{x})) = f(\bm{x}) > 0$.
no code implementations • 8 Jun 2023 • Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
Although graph neural networks (GNNs) have achieved impressive achievements in graph classification, they often need abundant task-specific labels, which could be extensively costly to acquire.
1 code implementation • 19 May 2023 • Hao Wu, Wei Xiong, Fan Xu, Xiao Luo, Chong Chen, Xian-Sheng Hua, Haixin Wang
In this paper, we investigate the challenge of spatio-temporal video prediction, which involves generating future videos based on historical data streams.
no code implementations • 5 May 2023 • Yu Gao, Xiaochuan Pan, Chong Chen
In this work, we consider a {\it discrete} form of the nonlinear system in step (1), and then carry out theoretical and numerical analyses of conditions on the existence, uniqueness, and stability of a solution to the discrete nonlinear system for accurately estimating the discrete basis sinograms, leading to quantitative reconstruction of VMIs in MSCT.
no code implementations • 23 Apr 2023 • Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
The two twin modules collaborate with each other by exchanging instance similarity knowledge to fully explore the structure information of both labeled and unlabeled data.
1 code implementation • 22 Apr 2023 • Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian
Moreover, in contrast to the general retrieval, the relevance in the legal domain is sensitive to key legal elements.
1 code implementation • ICCV 2023 • Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao
To evaluate the effectiveness of our approach, we conduct comprehensive experiments on different datasets under various attack settings, where our method achieves the best defensive performance.
no code implementations • ICCV 2023 • Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
This paper investigates a realistic but understudied problem of image retrieval under label noise, which could lead to severe overfitting or memorization of noisy samples during optimization.
no code implementations • 3 Nov 2022 • Chong Chen, Ying Gao, Leyu Shi, Siquan Huang
This paper introduces a Federated Data Sanitization Defense, a novel approach to protect the system from data poisoning attacks.
1 code implementation • 25 Jul 2022 • Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images.
2 code implementations • 26 Jun 2022 • Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma
Then, we empirically analyze the learning dynamics of typical CF methods in terms of quantified alignment and uniformity, which shows that better alignment or uniformity both contribute to higher recommendation performance.
1 code implementation • 8 Jun 2022 • Mihir Joshi, Aaron Pruitt, Chong Chen, Yingmin Liu, Rizwan Ahmad
For an effective application of compressed sensing (CS), which exploits the underlying compressibility of an image, one of the requirements is that the undersampling artifact be incoherent (noise-like) in the sparsifying transform domain.
no code implementations • 5 Apr 2022 • Yangkun Li, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma, Yuekui Yang
Among various methods of coping with overfitting, dropout is one of the representative ways.
no code implementations • 31 Jan 2022 • Chong Chen, Yingmin Liu, Orlando P. Simonetti, Matthew Tong, Ning Jin, Mario Bacher, Peter Speier, Rizwan Ahmad
Purpose: We seek to evaluate the accuracy and reliability of the cardiac and respiratory signals extracted from PT in patients clinically referred for cardiovascular MRI with the image-derived signals as the reference.
1 code implementation • 18 Jan 2022 • Chong Chen, Fei Sun, Min Zhang, Bolin Ding
From the perspective of utility, if a system's utility is damaged by some bad data, the system needs to forget these data to regain utility.
no code implementations • 11 Oct 2021 • Chao Zheng, Yingjie Chen, Chong Chen, Jianqiang Huang, Xian-Sheng Hua
Finding a suitable density function is essential for density-based clustering algorithms such as DBSCAN and DPC.
no code implementations • 13 Sep 2021 • Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma
Nowadays, E-commerce is increasingly integrated into our daily lives.
1 code implementation • 25 May 2021 • Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
Besides, CHCF integrates criterion learning and user preference learning into a unified framework, which can be trained jointly for the interaction prediction of the target behavior.
no code implementations • 13 May 2021 • Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
Hashing has been widely used in approximate nearest neighbor search for its storage and computational efficiency.
no code implementations • 29 Apr 2021 • Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, Xiansheng Hua
In this paper, we propose a DiscRiminative-gEnerative duAl Memory (DREAM) anomaly detection model to take advantage of a few anomalies and solve data imbalance.
1 code implementation • 21 Apr 2021 • Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
Experiments on benchmark datasets show that our NS-KGE framework can achieve a better performance on efficiency and accuracy over traditional negative sampling based models, and that the framework is applicable to a large class of knowledge graph embedding models.
1 code implementation • ICCV 2021 • Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
On the other hand, a novel graph-based contrastive learning strategy is proposed to learn more compact clustering assignments.
no code implementations • 24 Nov 2020 • Chong Chen
The proposed model is a production of assembling the Wasserstein distance with the Benamou--Brenier formula in optimal transportation and the flow of diffeomorphisms involved in large deformation diffeomorphic metric mapping, which is suitable for the scenario of spatiotemporal imaging with large diffeomorphic and mass-preserving deformations.
no code implementations • 15 Oct 2020 • Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua
However, due to the inefficient representation ability of the pre-trained model, many false positives and negatives in local semantic similarity will be introduced and lead to error propagation during the hash code learning.
no code implementations • 6 Oct 2020 • Chong Chen, Qinghui Xing, Xin Ding, Yaru Xue, Tianfu Zhong
In data assimilation algorithms, the error covariance between the forecasts and observations is used to optimize the parameters.
no code implementations • 22 Sep 2020 • Ping Wang, Chong Chen, Renbao Liu
An intriguing question is: Can the quantum nature (quantumness) of sensors and targets be exploited to enable schemes that are not possible for classical probes or classical targets?
Quantum Physics
no code implementations • 11 Aug 2020 • Chong Chen, Ping Wang, Ren-Bao Liu
94, 047201 (2005)] on the critical behaviors of the noisy Ising model, which shows that the universality class of the quantum criticality is modified by the decoherence, we find that the standard quantum limit is recovered by the single-particle decoherence, which is equivalent to local quantum measurement conducted by the environment and destroys the many-body entanglement in the ground state at the quantum critical point.
Quantum Physics
1 code implementation • 7 Aug 2020 • Huasong Zhong, Chong Chen, Zhongming Jin, Xian-Sheng Hua
Different from existing methods, DRC looks into deep clustering from two perspectives of both semantic clustering assignment and representation feature, which can increase inter-class diversities and decrease intra-class diversities simultaneously.
2 code implementations • 1 Jul 2020 • Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma
However, existing KG enhanced recommendation methods have largely focused on exploring advanced neural network architectures to better investigate the structural information of KG.
2 code implementations • WWW 2020 • Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma Department of Computer Science and Technology, Institute for Articial Intelligence, Beijing National Research Center for Information Science and Technology, Tsinghua University cc17@mails.tsinghua.edu.cn, z-m@tsinghua.edu.cn
Factorization Machines (FM) with negative sampling is a popular solution for context-aware recommendation.
no code implementations • 4 Mar 2020 • Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
Nearest neighbor search aims to obtain the samples in the database with the smallest distances from them to the queries, which is a basic task in a range of fields, including computer vision and data mining.
1 code implementation • 8 Feb 2020 • Chong Chen, Yingmin Liu, Orlando P. Simonetti, Rizwan Ahmad
A complete heartbeat from each slice is then used for cardiac function quantification.
no code implementations • 9 Dec 2018 • Chong Chen, Barbara Gris, Ozan Öktem
This model consists of two components, one for conducting modified static image reconstruction, and the other performs sequentially indirect image registration.
3 code implementations • 13 Jun 2017 • Chong Chen, Ozan Öktem
The paper adapts the large deformation diffeomorphic metric mapping framework for image registration to the indirect setting where a template is registered against a target that is given through indirect noisy observations.