YANA: an efficient privacy-preserving recommender system for online social communities. - Dongsheng Li 002; Qin Lv; Li Shang; Ning Gu (CIKM, 2011)

Pistis: A Privacy-Preserving Content Recommender System for Online Social Communities. - Dongsheng Li 002; Qin Lv; Huanhuan Xia; Li Shang; Tun Lu; Ning Gu (Web Intelligence, 2011)

Interest-based real-time content recommendation in online social communities. - Dongsheng Li 002; Qin Lv; Xing Xie 003; Li Shang; Huanhuan Xia; Tun Lu; Ning Gu (Knowl. Based Syst., 2012)

AOPUT: A recommendation framework based on social activities and content interests. - Yingying Deng; Tun Lu; Huanhuan Xia; Dongsheng Li 002; Tiejiang Liu; Xianghua Ding; Ning Gu (CSCWD, 2013)

Item-based top-N recommendation resilient to aggregated information revelation. - Dongsheng Li 002; Qin Lv; Li Shang; Ning Gu (Knowl. Based Syst., 2014)

WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation. - Chao Chen 016; Dongsheng Li 002; Yingying Zhao; Qin Lv; Li Shang (SIGIR, 2015)

Low-Rank Matrix Approximation with Stability. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (ICML, 2016)

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. - Chao Chen 016; Dongsheng Li 002; Qin Lv; Junchi Yan; Stephen M. Chu; Li Shang (IJCAI, 2016)

An algorithm for efficient privacy-preserving item-based collaborative filtering. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Li Shang; Yingying Zhao; Tun Lu; Ning Gu (Future Gener. Comput. Syst., 2016)

SalesExplorer: Exploring sales opportunities from white-space customers in the enterprise market. - Dongsheng Li 002; Yaoping Ruan; Qin Lv; Li Shang (Knowl. Based Syst., 2016)

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. - Chao Chen 016; Dongsheng Li 002; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (AAAI, 2017)

ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Li Shang; Stephen M. Chu; Hongyuan Zha (AAAI, 2017)

Multi-task matrix factorization for collaborative filtering. - Wanlu Shi; Tun Lu; Dongsheng Li 002; Peng Zhang 060; Ning Gu (CSCWD, 2017)

Mixture-Rank Matrix Approximation for Collaborative Filtering. - Dongsheng Li 002; Chao Chen 016; Wei Liu 005; Tun Lu; Ning Gu; Stephen M. Chu (NIPS, 2017)

Efficient privacy-preserving content recommendation for online social communities. - Dongsheng Li 002; Qin Lv; Li Shang; Ning Gu (Neurocomputing, 2017)

Stable Matrix Approximation for Top-N Recommendation on Implicit Feedback Data. - Dongsheng Li 002; Changyu Miao; Stephen M. Chu; Jason Mallen; Tomomi Yoshioka; Pankaj Srivastava (HICSS, 2018)

An Algorithmic Method for Tampering-Proof and Privacy-Preserving Smart Metering. - Dongsheng Li 002; Yingying Zhao; Yawen Zhang; Qin Lv; Li Shang (INDIN, 2018)

Deriving Customer Privacy from Randomly Perturbed Smart Metering Data. - Yingying Zhao; Dongsheng Li 002; Qi Liu 052; Qin Lv; Li Shang (INDIN, 2018)

AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Hansu Gu; Tun Lu; Li Shang; Ning Gu; Stephen M. Chu (WWW, 2018)

Collaborative Filtering with Stability. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (CoRR, 2018)

A Scalable Algorithm for Privacy-Preserving Item-based Top-N Recommendation. - Yingying Zhao; Dongsheng Li 002; Qin Lv; Li Shang (CoRR, 2018)

A Recommendation Method of Barrier-Free Facilities Construction Based on Geographic Information. - Peng Liu; Zhenghao Zhang; Tun Lu; Dongsheng Li 002; Ning Gu (ChineseCSCW, 2019)

Synergizing Local and Global Models for Matrix Approximation. - Chao Chen 016; Hao Zhang; Dongsheng Li 002; Junchi Yan; Xiaokang Yang 001 (CIKM, 2019)

Matrix Approximation with Cumulative Penalty for Collaborative Filtering. - Jiaming Cui; Tun Lu; Dongsheng Li 002; Ning Gu (CSCWD, 2019)

Collaborative Filtering with Noisy Ratings. - Dongsheng Li 002; Chao Chen 016; Zhilin Gong; Tun Lu; Stephen M. Chu; Ning Gu (SDM, 2019)

Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering. - Weizhao Tang; Tun Lu; Dongsheng Li 002; Hansu Gu; Ning Gu (IEEE Access, 2020)

PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension. - Chao Yang 015; Guoqing Wang; Dongsheng Li 002; Huawei Shen; Su Feng; Bin Jiang 006 (CoRR, 2020)

Memory-aware gated factorization machine for top-N recommendation. - Bo Yang 011; Jing Chen; Zhongfeng Kang; Dongsheng Li 002 (Knowl. Based Syst., 2020)

Gated and attentive neural collaborative filtering for user generated list recommendation. - Chao Yang 015; Lianhai Miao; Bin Jiang 006; Dongsheng Li 002; Da Cao (Knowl. Based Syst., 2020)

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. - Chao Chen 016; Dongsheng Li 002; Junchi Yan; Hanchi Huang; Xiaokang Yang 001 (AAAI, 2021)

Decentralized Statistical Inference with Unrolled Graph Neural Networks. - He Wang 017; Yifei Shen; Ziyuan Wang; Dongsheng Li 002; Jun Zhang 004; Khaled B. Letaief; Jie Lu 007 (CDC, 2021)

How Powerful is Graph Convolution for Recommendation? - Yifei Shen; Yongji Wu; Yao Zhang 009; Caihua Shan; Jun Zhang 004; Khaled B. Letaief; Dongsheng Li 002 (CIKM, 2021)

Incremental Graph Convolutional Network for Collaborative Filtering. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Ning Gu (CIKM, 2021)

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. - Yao Zhang 009; Yun Xiong; Dongsheng Li 002; Caihua Shan; Kan Ren; Yangyong Zhu (CIKM, 2021)

A Review Construction-based Approach to Collaborative Filtering. - Bo Yang 011; Hui Liu; Jicheng Lei; Dongsheng Li 002; Peng Wang (CSCWD, 2021)

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. - Bo Li 080; Yezhen Wang; Shanghang Zhang; Dongsheng Li 002; Kurt Keutzer; Trevor Darrell; Han Zhao 002 (CVPR, 2021)

SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation. - Zhenghao Zhang; Tun Lu; Dongsheng Li 002; Peng Zhang 060; Hansu Gu; Ning Gu (DASFAA (3), 2021)

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. - Yezhen Wang; Bo Li 080; Tong Che; Kaiyang Zhou; Ziwei Liu 002; Dongsheng Li 002 (ICCV, 2021)

Towards Generating Real-World Time Series Data. - Hengzhi Pei; Kan Ren; Yuqing Yang 001; Chang Liu 030; Tao Qin 001; Dongsheng Li 002 (ICDM, 2021)

Learning Content and Context with Language Bias for Visual Question Answering. - Chao Yang 015; Su Feng; Dongsheng Li 002; Huawei Shen; Guoqing Wang; Bin Jiang 006 (ICME, 2021)

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. - Sanshi Yu; Zhuoxuan Jiang; Dongdong Chen; Shanshan Feng 001; Dongsheng Li 002; Qi Liu 003; Jinfeng Yi (KDD, 2021)

Recognizing Vector Graphics without Rasterization. - Xinyang Jiang; Lu Liu 019; Caihua Shan; Yifei Shen; Xuanyi Dong; Dongsheng Li 002 (NeurIPS, 2021)

Reinforcement Learning Enhanced Explainer for Graph Neural Networks. - Caihua Shan; Yifei Shen; Yao Zhang 009; Xiang Li 067; Dongsheng Li 002 (NeurIPS, 2021)

Invariant Information Bottleneck for Domain Generalization. - Bo Li 080; Yifei Shen; Yezhen Wang; Wenzhen Zhu; Colorado J. Reed; Jun Zhang 004; Dongsheng Li 002; Kurt Keutzer; Han Zhao 002 (CoRR, 2021)

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision. - Bo Li 080; Xinyang Jiang; Donglin Bai; Yuge Zhang; Ningxin Zheng; Xuanyi Dong; Lu Liu 019; Yuqing Yang 001; Dongsheng Li 002 (CoRR, 2021)

Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence. - Chao Yang 015; Weixin Zhou; Zhiyu Wang; Bin Jiang 006; Dongsheng Li 002; Huawei Shen (Knowl. Based Syst., 2021)

NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. - Dongsheng Li 002; Haodong Liu; Chao Chen 016; Yingying Zhao; Stephen M. Chu; Bo Yang 011 (ACM Trans. Knowl. Discov. Data, 2021)

Mixture Matrix Approximation for Collaborative Filtering. - Dongsheng Li 002; Chao Chen 016; Tun Lu; Stephen M. Chu; Ning Gu (IEEE Trans. Knowl. Data Eng., 2021)

Invariant Information Bottleneck for Domain Generalization. - Bo Li 080; Yifei Shen; Yezhen Wang; Wenzhen Zhu; Colorado Reed; Dongsheng Li 002; Kurt Keutzer; Han Zhao 002 (AAAI, 2022)

Neural Piecewise-Constant Delay Differential Equations. - Qunxi Zhu; Yifei Shen; Dongsheng Li 002; Wei Lin 003 (AAAI, 2022)

Popularity Bias Analysis of Recommendation Algorithm Based on ABM Simulation. - Cizhou Yu; Dongsheng Li 002; Tun Lu; Yichuan Jiang (ChineseCSCW (1), 2022)

Team Formation and Task Recommendation for Disabled People in Crowdsourcing Systems. - Yifan Liang; Zongzheng Zou; Peng Zhang 060; Dongsheng Li 002; Tun Lu; Ning Gu (CSCWD, 2022)

RendNet: Unified 2D/3D Recognizer with Latent Space Rendering. - Ruoxi Shi; Xinyang Jiang; Caihua Shan; Yansen Wang; Dongsheng Li 002 (CVPR, 2022)

MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework. - Fangye Wang; Hansu Gu; Dongsheng Li 002; Tun Lu; Peng Zhang 060; Ning Gu (DASFAA (2), 2022)

Recursive Disentanglement Network. - Yixuan Chen 003; Yubin Shi; Dongsheng Li 002; Yujiang Wang 001; Mingzhi Dong; Yingying Zhao; Robert P. Dick; Qin Lv; Fan Yang 001; Li Shang (ICLR, 2022)

Variational oracle guiding for reinforcement learning. - Dongqi Han; Tadashi Kozuno; Xufang Luo; Zhao-Yun Chen; Kenji Doya; Yuqing Yang 001; Dongsheng Li 002 (ICLR, 2022)

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. - Xiang Li 067; Renyu Zhu; Yao Cheng; Caihua Shan; Siqiang Luo; Dongsheng Li 002; Weining Qian (ICML, 2022)

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. - Zhengyu Yang 002; Kan Ren; Xufang Luo; Minghuan Liu; Weiqing Liu; Jiang Bian 002; Weinan Zhang 001; Dongsheng Li 002 (IJCAI, 2022)

Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech. - Kaitao Song; Teng Wan; Bixia Wang; Huiqiang Jiang; Luna Qiu; Jiahang Xu; Liping Jiang; Qun Lou; Yuqing Yang 001; Dongsheng Li 002; Xudong Wang; Lili Qiu (INTERSPEECH, 2022)

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. - Shifu Yan; Caihua Shan; Wenyi Yang; Bixiong Xu; Dongsheng Li 002; Lili Qiu; Jie Tong; Qi Zhang 001 (KDD, 2022)

Reinforcement Learning with Automated Auxiliary Loss Search. - Tairan He; Yuge Zhang; Kan Ren; Minghuan Liu; Che Wang; Weinan Zhang 001; Yuqing Yang 001; Dongsheng Li 002 (NeurIPS, 2022)

Parameter-free Dynamic Graph Embedding for Link Prediction. - Jiahao Liu; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Ning Gu (NeurIPS, 2022)

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling. - Kaitao Song; Yichong Leng; Xu Tan 003; Yicheng Zou; Tao Qin 001; Dongsheng Li 002 (NeurIPS, 2022)

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. - Che Wang; Xufang Luo; Keith W. Ross; Dongsheng Li 002 (NeurIPS, 2022)

Bootstrapped Transformer for Offline Reinforcement Learning. - Kerong Wang; Hanye Zhao; Xufang Luo; Kan Ren; Weinan Zhang 001; Dongsheng Li 002 (NeurIPS, 2022)

Enhancing CTR Prediction with Context-Aware Feature Representation Learning. - Fangye Wang; Yingxu Wang; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Ning Gu (SIGIR, 2022)

Cross-modal Ambiguity Learning for Multimodal Fake News Detection. - Yixuan Chen 003; Dongsheng Li 002; Peng Zhang 060; Jie Sui; Qin Lv; Tun Lu; Li Shang (WWW, 2022)

MINDSim: User Simulator for News Recommenders. - Xufang Luo; Zheng Liu 011; Shitao Xiao; Xing Xie 001; Dongsheng Li 002 (WWW, 2022)

Accurate and Explainable Recommendation via Review Rationalization. - Sicheng Pan; Dongsheng Li 002; Hansu Gu; Tun Lu; Xufang Luo; Ning Gu (WWW, 2022)

FIRE: Fast Incremental Recommendation with Graph Signal Processing. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Jiahao Liu; Tun Lu; Ning Gu (WWW, 2022)

Domain Generalization using Pretrained Models without Fine-tuning. - Ziyue Li; Kan Ren; Xinyang Jiang; Bo Li 080; Haipeng Zhang; Dongsheng Li 002 (CoRR, 2022)

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One. - Yezhen Wang; Tong Che; Bo Li 080; Kaitao Song; Hengzhi Pei; Yoshua Bengio; Dongsheng Li 002 (CoRR, 2022)

Towards Privacy-Preserving Person Re-identification via Person Identify Shift. - Shuguang Dou; Xinyang Jiang; Qingsong Zhao; Dongsheng Li 002; Cairong Zhao (CoRR, 2022)

Online Video Super-Resolution with Convolutional Kernel Bypass Graft. - Jun Xiao 010; Xinyang Jiang; Ningxin Zheng; Huan Yang 005; Yifan Yang 004; Yuqing Yang 001; Dongsheng Li 002; Kin-Man Lam 001 (CoRR, 2022)

Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear. - Yingying Zhao; Ning Li; Wentao Pan; Yujiang Wang 001; Mingzhi Dong; Sharon Xianghua Ding; Qin Lv; Robert P. Dick; Dongsheng Li 002; Fan Yang 001; Tun Lu; Ning Gu; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. - Chao Chen 016; Dongsheng Li 002; Junchi Yan; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. - Yingying Zhao; Mingzhi Dong; Yujiang Wang 001; Da Feng; Qin Lv; Robert P. Dick; Dongsheng Li 002; Tun Lu; Ning Gu; Li Shang (IEEE Trans. Multim., 2022)

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. - Yuchen Fang; Kan Ren; Caihua Shan; Yifei Shen; You Li; Weinan Zhang 001; Yong Yu 001; Dongsheng Li 002 (AAAI, 2023)

Similarity Distribution Based Membership Inference Attack on Person Re-identification. - Junyao Gao 002; Xinyang Jiang; Huishuai Zhang; Yifan Yang 004; Shuguang Dou; Dongsheng Li 002; Duoqian Miao 001; Cheng Deng; Cairong Zhao (AAAI, 2023)

Towards Inference Efficient Deep Ensemble Learning. - Ziyue Li; Kan Ren; Yifan Yang 004; Xinyang Jiang; Yuqing Yang 001; Dongsheng Li 002 (AAAI, 2023)

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. - Han Zheng; Xufang Luo; Pengfei Wei 001; Xuan Song 001; Dongsheng Li 002; Jing Jiang 002 (AAAI, 2023)

DiffusionNER: Boundary Diffusion for Named Entity Recognition. - Yongliang Shen 001; Kaitao Song; Xu Tan 003; Dongsheng Li 002; Weiming Lu 001; Yueting Zhuang (ACL (1), 2023)

Towards Understanding Omission in Dialogue Summarization. - Yicheng Zou; Kaitao Song; Xu Tan 003; Zhongkai Fu; Qi Zhang 001; Dongsheng Li 002; Tao Gui (ACL (1), 2023)

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. - Sijia Liu 001; Jiahao Liu; Hansu Gu; Dongsheng Li 002; Tun Lu; Peng Zhang 060; Ning Gu (CIKM, 2023)

Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. - Fangye Wang; Hansu Gu; Dongsheng Li 002; Tun Lu; Peng Zhang 060; Ning Gu (CIKM, 2023)

Unsupervised Video Anomaly Detection For Stereotypical Behaviours in Autism. - Jiaqi Gao; Xinyang Jiang; Yuqing Yang 001; Dongsheng Li 002; Lili Qiu (ICASSP, 2023)

Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer's Disease Detection. - Jinchao Li; Kaitao Song; Junan Li; Bo Zheng; Dongsheng Li 002; Xixin Wu; Xunying Liu; Helen Meng (ICASSP, 2023)

A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition. - Jinchao Li; Xixin Wu; Kaitao Song; Dongsheng Li 002; Xunying Liu; Helen Meng (ICASSP, 2023)

Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition. - Yixuan Chen 003; Yubin Shi; Mingzhi Dong; Xiaochen Yang; Dongsheng Li 002; Yujiang Wang 001; Robert P. Dick; Qin Lv; Yingying Zhao; Fan Yang 001; Ning Gu; Li Shang (ICLR, 2023)

EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark. - Shuguang Dou; Xinyang Jiang; Cairong Zhao; Dongsheng Li 002 (ICLR, 2023)

SIMPLE: Specialized Model-Sample Matching for Domain Generalization. - Ziyue Li; Kan Ren; Xinyang Jiang; Yifei Shen; Haipeng Zhang; Dongsheng Li 002 (ICLR, 2023)

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer. - Eric Qu; Xufang Luo; Dongsheng Li 002 (ICLR, 2023)

Explaining Temporal Graph Models through an Explorer-Navigator Framework. - Wenwen Xia; Mincai Lai; Caihua Shan; Yao Zhang 009; Xinnan Dai; Xiang Li 067; Dongsheng Li 002 (ICLR, 2023)

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. - Yansen Wang; Xinyang Jiang; Kan Ren; Caihua Shan; Xufang Luo; Dongqi Han; Kaitao Song; Yifei Shen; Dongsheng Li 002 (ICML, 2023)

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. - Yukang Liang; Kaitao Song; Shaoguang Mao; Huiqiang Jiang; Luna Qiu; Yuqing Yang 001; Dongsheng Li 002; Linli Xu; Lili Qiu (INTERSPEECH, 2023)

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. - Yuchen Fang; Zhenggang Tang; Kan Ren; Weiqing Liu; Li Zhao 007; Jiang Bian 002; Dongsheng Li 002; Weinan Zhang 001; Yong Yu 001; Tie-Yan Liu (KDD, 2023)

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face. - Yongliang Shen 001; Kaitao Song; Xu Tan 003; Dongsheng Li 002; Weiming Lu 001; Yueting Zhuang (NeurIPS, 2023)

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. - Yuqi Chen 018; Kan Ren; Yansen Wang; Yuchen Fang; Weiwei Sun 008; Dongsheng Li 002 (NeurIPS, 2023)

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models. - Yubin Shi; Yixuan Chen 003; Mingzhi Dong; Xiaochen Yang; Dongsheng Li 002; Yujiang Wang 001; Robert P. Dick; Qin Lv; Yingying Zhao; Fan Yang 001; Tun Lu; Ning Gu; et al. (NeurIPS, 2023)

Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling. - Ke Yi 003; Yansen Wang; Kan Ren; Dongsheng Li 002 (NeurIPS, 2023)

Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. - Jiahao Liu; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu (SIGIR, 2023)

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. - Ziyue Li; Yuchen Fang; You Li; Kan Ren; Yansen Wang; Xufang Luo; Juanyong Duan; Congrui Huang; Dongsheng Li 002; Lili Qiu (SMC, 2023)

CL4CTR: A Contrastive Learning Framework for CTR Prediction. - Fangye Wang; Yingxu Wang; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Ning Gu (WSDM, 2023)

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (WWW, 2023)

Personalized Graph Signal Processing for Collaborative Filtering. - Jiahao Liu; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu (WWW, 2023)

A semantic relation-aware deep neural network model for end-to-end conversational recommendation. - Jiajin Wu; Bo Yang 011; Dongsheng Li 002; Lihui Deng (Appl. Soft Comput., 2023)

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (CoRR, 2023)

Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion. - Guanghao Yin; Xinyang Jiang; Shan Jiang; Zhenhua Han; Ningxin Zheng; Huan Yang 005; Donglin Bai; Haisheng Tan; Shouqian Sun; Yuqing Yang 001; Dongsheng Li 002; Lili Qiu (CoRR, 2023)

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace. - Yongliang Shen 001; Kaitao Song; Xu Tan 003; Dongsheng Li 002; Weiming Lu 001; Yueting Zhuang (CoRR, 2023)

Biological Factor Regulatory Neural Network. - Xinnan Dai; Caihua Shan; Jie Zheng; Xiaoxiao Li; Dongsheng Li 002 (CoRR, 2023)

Habits and goals in synergy: a variational Bayesian framework for behavior. - Dongqi Han; Kenji Doya; Dongsheng Li 002; Jun Tani (CoRR, 2023)

Simulating News Recommendation Ecosystem for Fun and Profit. - Guangping Zhang; Dongsheng Li 002; Hansu Gu; Tun Lu; Li Shang; Ning Gu (CoRR, 2023)

Is Risk-Sensitive Reinforcement Learning Properly Resolved? - Ruiwen Zhou; Minghuan Liu; Kan Ren; Xufang Luo; Weinan Zhang 001; Dongsheng Li 002 (CoRR, 2023)

Recommendation Unlearning via Matrix Correction. - Jiahao Liu; Dongsheng Li 002; Hansu Gu; Tun Lu; Jiongran Wu; Peng Zhang 060; Li Shang; Ning Gu (CoRR, 2023)

Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. - Yu-Ting Lan; Kan Ren; Yansen Wang; Wei-Long Zheng; Dongsheng Li 002; Bao-Liang Lu; Lili Qiu (CoRR, 2023)

RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models. - Yubo Shu; Hansu Gu; Peng Zhang 060; Haonan Zhang; Tun Lu; Dongsheng Li 002; Ning Gu (CoRR, 2023)

Learning To Teach Large Language Models Logical Reasoning. - Meiqi Chen 001; Yubo Ma; Kaitao Song; Yixin Cao 002; Yan Zhang 004; Dongsheng Li 002 (CoRR, 2023)

Label Propagation for Graph Label Noise. - Yao Cheng; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (CoRR, 2023)

A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction. - Fangye Wang; Yingxu Wang; Hansu Gu; Dongsheng Li 002; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu (CoRR, 2023)

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. - Jie Lian; Xufang Luo; Caihua Shan; Dongqi Han; Varut Vardhanabhuti; Dongsheng Li 002 (CoRR, 2023)

Toward Open-ended Embodied Tasks Solving. - William Wei Wang; Dongqi Han; Xufang Luo; Yifei Shen; Charles Ling 001; Boyu Wang 004; Dongsheng Li 002 (CoRR, 2023)

DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. - Brian Nlong Zhao; Yuhang Xiao; Jiashu Xu; Xinyang Jiang; Yifan Yang 004; Dongsheng Li 002; Laurent Itti; Vibhav Vineet; Yunhao Ge (CoRR, 2023)

Graph Collaborative Filtering Based on Dual-Message Propagation Mechanism. - Haodong Liu; Bo Yang 011; Dongsheng Li 002 (IEEE Trans. Cybern., 2023)

Online Video Super-Resolution With Convolutional Kernel Bypass Grafts. - Jun Xiao 010; Xinyang Jiang; Ningxin Zheng; Huan Yang 005; Yifan Yang 004; Yuqing Yang 001; Dongsheng Li 002; Kin-Man Lam 001 (IEEE Trans. Multim., 2023)

A time-aware self-attention based neural network model for sequential recommendation. - Yihu Zhang; Bo Yang 011; Haodong Liu; Dongsheng Li 002 (Appl. Soft Comput., 2023)

Entity-driven user intent inference for knowledge graph-based recommendation. - Shaosong Li; Bo Yang 011; Dongsheng Li 002 (Appl. Intell., 2023)

Global spatio-temporal aware graph neural network for next point-of-interest recommendation. - Jingkuan Wang; Bo Yang 011; Haodong Liu; Dongsheng Li 002 (Appl. Intell., 2023)

Relevance-aware graph neural network for session-based recommendation. - Yaohai Zeng; Bo Yang 011; Xiangchao Wen; Dongsheng Li 002 (Computing, 2023)

Recommender Systems - Frontiers and Practices - Dongsheng Li 002; Jianxun Lian; Le Zhang; Kan Ren; Tun Lu; Tao Wu; Xing Xie 001 (Springer, 2024)

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models. - Yubin Wang; Xinyang Jiang; De Cheng; Dongsheng Li 002; Cairong Zhao (AAAI, 2024)

Improving Large Language Models in Event Relation Logical Prediction. - Meiqi Chen 001; Yubo Ma; Kaitao Song; Yixin Cao 002; Yan Zhang 004; Dongsheng Li 002 (ACL (1), 2024)

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. - Huiqiang Jiang; Qianhui Wu; Xufang Luo; Dongsheng Li 002; Chin-Yew Lin; Yuqing Yang 001; Lili Qiu (ACL (1), 2024)

Automated Contrastive Learning Strategy Search for Time Series. - Baoyu Jing; Yansen Wang; Guoxin Sui; Jing Hong; Jingrui He; Yuqing Yang 001; Dongsheng Li 002; Kan Ren (CIKM, 2024)

Disentangled Prompt Representation for Domain Generalization. - De Cheng; Zhipeng Xu; Xinyang Jiang; Nannan Wang 001; Dongsheng Li 002; Xinbo Gao 001 (CVPR, 2024)

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. - Lei Zhang; Yuge Zhang; Kan Ren; Dongsheng Li 002; Yuqing Yang 001 (EACL (1), 2024)

Unified Medical Image Pre-training in Language-Guided Common Semantic Space. - Xiaoxuan He; Yifan Yang 004; Xinyang Jiang; Xufang Luo; Haoji Hu; Siyun Zhao; Dongsheng Li 002; Yuqing Yang 001; Lili Qiu (ECCV (81), 2024)

Online Video Quality Enhancement with Spatial-Temporal Look-Up Tables. - Zefan Qu; Xinyang Jiang; Yifan Yang 004; Dongsheng Li 002; Cairong Zhao (ECCV (72), 2024)

Training-free Multi-objective Diffusion Model for 3D Molecule Generation. - Xu Han; Caihua Shan; Yifei Shen; Can Xu; Han Yang; Xiang Li 067; Dongsheng Li 002 (ICLR, 2024)

CNN Kernels Can Be the Best Shapelets. - Eric Qu; Yansen Wang; Xufang Luo; Wenqiang He; Kan Ren; Dongsheng Li 002 (ICLR, 2024)

Addressing Signal Delay in Deep Reinforcement Learning. - William Wei Wang; Dongqi Han; Xufang Luo; Dongsheng Li 002 (ICLR, 2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. - Changze Lv; Yansen Wang; Dongqi Han; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (ICML, 2024)

LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought. - Zhuoxuan Jiang; Haoyuan Peng; Shanshan Feng 001; Fan Li 015; Dongsheng Li 002 (IJCAI, 2024)

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. - Yao Cheng; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (KDD, 2024)

TaskBench: Benchmarking Large Language Models for Task Automation. - Yongliang Shen 001; Kaitao Song; Xu Tan 003; Wenqi Zhang 001; Kan Ren; Siyu Yuan; Weiming Lu 001; Dongsheng Li 002; Yueting Zhuang (NeurIPS, 2024)

Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge. - Fang Dong; Mengyi Chen; Jixian Zhou; Yubin Shi; Yixuan Chen 003; Mingzhi Dong; Yujiang Wang 001; Dongsheng Li 002; Xiaochen Yang; Rui Zhu 006; Robert P. Dick; Qin Lv; et al. (NeurIPS, 2024)

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. - Huiqiang Jiang; Yucheng Li; Chengruidong Zhang; Qianhui Wu; Xufang Luo; Surin Ahn; Zhenhua Han; Amir H. Abdi; Dongsheng Li 002; Chin-Yew Lin; Yuqing Yang 001; Lili Qiu (NeurIPS, 2024)

Towards Editing Time Series. - Baoyu Jing; Shuqi Gu; Tianyu Chen; Zhiyu Yang; Dongsheng Li 002; Jingrui He; Kan Ren (NeurIPS, 2024)

EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals. - Xuan-Hao Liu; Yan-Kai Liu; Yansen Wang; Kan Ren; Hanwen Shi; Zilong Wang 006; Dongsheng Li 002; Bao-Liang Lu; Wei-Long Zheng (NeurIPS, 2024)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. - Changze Lv; Dongqi Han; Yansen Wang; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (NeurIPS, 2024)

Understanding and Improving Training-free Loss-based Diffusion Guidance. - Yifei Shen; Xinyang Jiang; Yifan Yang 004; Yezhen Wang; Dongqi Han; Dongsheng Li 002 (NeurIPS, 2024)

Neural Kalman Filtering for Robust Temporal Recommendation. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu (WSDM, 2024)

Hierarchical Graph Signal Processing for Collaborative Filtering. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu (WWW, 2024)

EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model. - Yuqi Chen 018; Kan Ren; Kaitao Song; Yansen Wang; Yifan Wang; Dongsheng Li 002; Lili Qiu (CoRR, 2024)

LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. - Shentong Mo; Yansen Wang; Xufang Luo; Dongsheng Li 002 (CoRR, 2024)

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. - Yifei Shen; Xinyang Jiang; Yezhen Wang; Yifan Yang 004; Dongqi Han; Dongsheng Li 002 (CoRR, 2024)

LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation. - Zilong Wang 006; Xufang Luo; Xinyang Jiang; Dongsheng Li 002; Lili Qiu (CoRR, 2024)

A Large-scale Medical Visual Task Adaptation Benchmark. - Shentong Mo; Xufang Luo; Yansen Wang; Dongsheng Li 002 (CoRR, 2024)

Compression-Realized Deep Structural Network for Video Quality Enhancement. - Hanchi Sun; Xiaohong Liu 001; Xinyang Jiang; Yifei Shen; Dongsheng Li 002; Xiongkuo Min; Guangtao Zhai (CoRR, 2024)

DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World. - Wenli Sun; Xinyang Jiang; Dongsheng Li 002; Cairong Zhao (CoRR, 2024)

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension. - Yijiong Yu; Huiqiang Jiang; Xufang Luo; Qianhui Wu; Chin-Yew Lin; Dongsheng Li 002; Yuqing Yang 001; Yongfeng Huang 001; Lili Qiu (CoRR, 2024)

The VEP Booster: A Closed-Loop AI System for Visual EEG Biomarker Auto-generation. - Junwen Luo; Chengyong Jiang; Qingyuan Chen; Dongqi Han; Yansen Wang; Biao Yan; Dongsheng Li 002; Jiayi Zhang (CoRR, 2024)

GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Tun Lu; Ning Gu (CoRR, 2024)

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding. - Yubin Wang; Xinyang Jiang; De Cheng; Dongsheng Li 002; Cairong Zhao (CoRR, 2024)

Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path. - Xinnan Dai; Qihao Wen; Yifei Shen; Hongzhi Wen; Dongsheng Li 002; Jiliang Tang; Caihua Shan (CoRR, 2024)

HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling. - Yubin Wang; Xinyang Jiang; De Cheng; Wenli Sun; Dongsheng Li 002; Cairong Zhao (CoRR, 2024)

Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation. - Chenyu Wang; Shuo Yan; Yixuan Chen 003; Yujiang Wang 001; Mingzhi Dong; Xiaochen Yang; Dongsheng Li 002; Robert P. Dick; Qin Lv; Fan Yang 001; Tun Lu; Ning Gu; et al. (CoRR, 2024)

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. - Xinnan Dai; Haohao Qu; Yifen Shen; Bohang Zhang; Qihao Wen; Wenqi Fan; Dongsheng Li 002; Jiliang Tang; Caihua Shan (CoRR, 2024)

Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation. - Jiahao Liu; Yiyang Shao; Peng Zhang 060; Dongsheng Li 002; Hansu Gu; Chao Chen 016; Longzhi Du; Tun Lu; Ning Gu (CoRR, 2024)

Invisible Backdoor Attack With Dynamic Triggers Against Person Re-Identification. - Wenli Sun; Xinyang Jiang; Shuguang Dou; Dongsheng Li 002; Duoqian Miao 001; Cheng Deng; Cairong Zhao (IEEE Trans. Inf. Forensics Secur., 2024)

Online Streaming Video Super-Resolution With Convolutional Look-Up Table. - Guanghao Yin; Zefan Qu; Xinyang Jiang; Shan Jiang; Zhenhua Han; Ningxin Zheng; Huan Yang 005; Xiaohong Liu 001; Yuqing Yang 001; Dongsheng Li 002; Lili Qiu (IEEE Trans. Image Process., 2024)

Learning Domain Invariant Prompt for Vision-Language Models. - Cairong Zhao; Yubin Wang; Xinyang Jiang; Yifei Shen; Kaitao Song; Dongsheng Li 002; Duoqian Miao 001 (IEEE Trans. Image Process., 2024)

Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation. - Guangping Zhang; Dongsheng Li 002; Hansu Gu; Tun Lu; Ning Gu (ACM Trans. Web, 2024)

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. - Yifei Shen; Jiawei Shao; Xinjie Zhang; Zehong Lin; Hao Pan; Dongsheng Li 002; Jun Zhang 004; Khaled B. Letaief (IEEE Commun. Mag., 2024)

Re-ID-leak: Membership Inference Attacks Against Person Re-identification. - Junyao Gao 002; Xinyang Jiang; Shuguang Dou; Dongsheng Li 002; Duoqian Miao 001; Cairong Zhao (Int. J. Comput. Vis., 2024)

RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework With LLM Agents. - Yubo Shu; Haonan Zhang; Hansu Gu; Peng Zhang 060; Tun Lu; Dongsheng Li 002; Ning Gu (IEEE Trans. Comput. Soc. Syst., 2024)

Simulating News Recommendation Ecosystems for Insights and Implications. - Guangping Zhang; Dongsheng Li 002; Hansu Gu; Tun Lu; Li Shang; Ning Gu (IEEE Trans. Comput. Soc. Syst., 2024)

Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset. - Shuguang Dou; Xinyang Jiang; Lu Liu 019; Lu Ying; Caihua Shan; Yifei Shen; Xuanyi Dong; Yun Wang 012; Dongsheng Li 002; Cairong Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel. - Yijiong Yu; Huiqiang Jiang; Xufang Luo; Qianhui Wu; Chin-Yew Lin; Dongsheng Li 002; Yuqing Yang 001; Yongfeng Huang 001; Lili Qiu (ACL (Findings), 2025)

Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization. - Zhipeng Xu; De Cheng; Xinyang Jiang; Nannan Wang 001; Dongsheng Li 002; Xinbo Gao 001 (CVPR, 2025)

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key. - Zhihe Yang; Xufang Luo; Dongqi Han; Yunjian Xu; Dongsheng Li 002 (CVPR, 2025)

Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding. - Jingyuan Li; Yansen Wang; Nie Lin; Dongsheng Li 002 (ICASSP, 2025)

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. - Xinnan Dai; Haohao Qu; Yifei Shen; Bohang Zhang; Qihao Wen; Wenqi Fan; Dongsheng Li 002; Jiliang Tang; Caihua Shan (ICLR, 2025)

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals. - Weibang Jiang; Yansen Wang; Bao-Liang Lu; Dongsheng Li 002 (ICLR, 2025)

SCBench: A KV Cache-Centric Analysis of Long-Context Methods. - Yucheng Li; Huiqiang Jiang; Qianhui Wu; Xufang Luo; Surin Ahn; Chengruidong Zhang; Amir H. Abdi; Dongsheng Li 002; Jianfeng Gao 001; Yuqing Yang 001; Lili Qiu (ICLR, 2025)

What Makes a Good Diffusion Planner for Decision Making? - Haofei Lu; Dongqi Han; Yifei Shen; Dongsheng Li 002 (ICLR, 2025)

pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. - Shentong Mo; Xufang Luo; Dongsheng Li 002 (ICLR, 2025)

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Xufang Luo; Hao Cheng 002; Dongsheng Li 002; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; Jianfeng Gao 001 (ICLR, 2025)

DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation. - Brian Nlong Zhao; Yuhang Xiao; Jiashu Xu; Xinyang Jiang; Yifan Yang 004; Dongsheng Li 002; Laurent Itti; Vibhav Vineet; Yunhao Ge (ICLR, 2025)

AOTree: Aspect Order Tree-Based Model for Explainable Recommendation. - Wenxin Zhao; Peng Zhang 060; Hansu Gu; Dongsheng Li 002; Tun Lu; Ning Gu (ICWSM, 2025)

EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms. - Siyu Yuan; Kaitao Song; Jiangjie Chen; Xu Tan 003; Dongsheng Li 002; Deqing Yang (NAACL (Long Papers), 2025)

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. - Siyu Yuan; Kaitao Song; Jiangjie Chen; Xu Tan 003; Yongliang Shen 001; Kan Ren; Dongsheng Li 002; Deqing Yang (NAACL (Long Papers), 2025)

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. - Mingzhe Han; Dongsheng Li 002; Jiafeng Xia; Jiahao Liu; Hansu Gu; Peng Zhang 060; Ning Gu; Tun Lu (SIGIR, 2025)

Unbiased Collaborative Filtering with Fair Sampling. - Jiahao Liu; Dongsheng Li 002; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu (SIGIR, 2025)

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. - Jiahao Liu; Shengkang Gu; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu (SIGIR, 2025)

Improving LLM-powered Recommendations with Personalized Information. - Jiahao Liu; Xueshuo Yan; Dongsheng Li 002; Guangping Zhang; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu (SIGIR, 2025)

Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu (WSDM, 2025)

Filtering Discomforting Recommendations with Large Language Models. - Jiahao Liu; Yiyang Shao; Peng Zhang 060; Dongsheng Li 002; Hansu Gu; Chao Chen 016; Longzhi Du; Tun Lu; Ning Gu (WWW, 2025)

Frequency-aware Graph Signal Processing for Collaborative Filtering. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu (WWW (Companion Volume), 2025)

Toward Relative Positional Encoding in Spiking Transformers. - Changze Lv; Yansen Wang; Dongqi Han; Yifei Shen; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (CoRR, 2025)

SimSort: A Powerful Framework for Spike Sorting by Large-Scale Electrophysiology Simulation. - Yimu Zhang; Dongqi Han; Yansen Wang; Yu Gu; Dongsheng Li 002 (CoRR, 2025)

On Memory Construction and Retrieval for Personalized Conversational Agents. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Xufang Luo; Hao Cheng 002; Dongsheng Li 002; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; Jianfeng Gao 001 (CoRR, 2025)

Habitizing Diffusion Planning for Efficient and Effective Decision Making. - Haofei Lu; Yifei Shen; Dongsheng Li 002; Junliang Xing; Dongqi Han (CoRR, 2025)

Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling. - Jiahao Liu; Dongsheng Li 002; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu (CoRR, 2025)

Enhancing Cross-Domain Recommendations with Memory-Optimized LLM-Based User Agents. - Jiahao Liu; Shengkang Gu; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu (CoRR, 2025)

Enhancing LLM-Based Recommendations Through Personalized Reasoning. - Jiahao Liu; Xueshuo Yan; Dongsheng Li 002; Guangping Zhang; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu (CoRR, 2025)

Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts. - Yubin Wang; Xinyang Jiang; De Cheng; Xiangqian Zhao; Zilong Wang 006; Dongsheng Li 002; Cairong Zhao (CoRR, 2025)

VisRL: Intention-Driven Visual Perception via Reinforced Reasoning. - Zhangquan Chen; Xufang Luo; Dongsheng Li 002 (CoRR, 2025)

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention. - Yucheng Li; Huiqiang Jiang; Chengruidong Zhang; Qianhui Wu; Xufang Luo; Surin Ahn; Amir H. Abdi; Dongsheng Li 002; Jianfeng Gao 001; Yuqing Yang 001; Lili Qiu (CoRR, 2025)

Chain-of-Model Learning for Language Model. - Kaitao Song; Xiaohua Wang; Xu Tan 003; Huiqiang Jiang; Chengruidong Zhang; Yongliang Shen 001; Cen LU; Zihao Li 006; Zifan Song; Caihua Shan; Yansen Wang; Kan Ren; et al. (CoRR, 2025)

Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs. - Zhihe Yang; Xufang Luo; Zilong Wang 006; Dongqi Han; Zhiyuan He; Dongsheng Li 002; Yunjian Xu (CoRR, 2025)

LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems. - Shengkang Gu; Jiahao Liu; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Ning Gu; Li Shang; Tun Lu (CoRR, 2025)

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models. - Jiongran Wu; Jiahao Liu; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Li Shang; Tun Lu; Ning Gu (CoRR, 2025)

EgoBrain: Synergizing Minds and Eyes For Human Action Understanding. - Nie Lin; Yansen Wang; Dongqi Han; Weibang Jiang; Jingyuan Li; Ryosuke Furuta; Yoichi Sato 001; Dongsheng Li 002 (CoRR, 2025)

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments. - Jiashuo Wang; Kaitao Song; Chunpu Xu; Changhe Song; Yang Xiao; Dongsheng Li 002; Lili Qiu; Wenjie Li 002 (CoRR, 2025)

Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization. - De Cheng; Zhipeng Xu; Xinyang Jiang; Dongsheng Li 002; Nannan Wang 001; Xinbo Gao 001 (CoRR, 2025)

Agent Lightning: Train ANY AI Agents with Reinforcement Learning. - Xufang Luo; Yuge Zhang; Zhiyuan He; Zilong Wang 006; Siyun Zhao; Dongsheng Li 002; Luna K. Qiu; Yuqing Yang 001 (CoRR, 2025)

Addressing popularity discrepancy in collaborative filtering. - Cizhou Yu; Dongsheng Li 002; Hansu Gu; Peng Zhang 060; Ning Gu; Tun Lu (Knowl. Inf. Syst., 2025)