Dongsheng Li

301 papers A* 83A 18B 1C 7Misc 4Journal 168Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding.
IEEE Trans. Image Process.
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
2026 J jnl
Dispelling the Curse of Singularities in Neural Network Optimizations.
CoRR
Hengjie Cao, Mengyi Chen, Yifeng Yang, Fang Dong, Ruijun Huang, Anrui Chen, Jixian Zhou, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Wenyi Fang, Yuanyi Lin, Fan Wu, Li Shang
2026 J jnl
Drift-Aware Continual Tokenization for Generative Recommendation.
CoRR
Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu
2026 J jnl
Feature-Indexed Federated Recommendation with Residual-Quantized Codebooks.
CoRR
Mingzhe Han, Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu
2026 A* conf
Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization.
AAAI
Xueyu Chen, Kaitao Song, Zifan Song, Dongsheng Li, Cairong Zhao
2026 A conf
LLM Agent-based Shilling Attack on Recommender Systems.
WSDM
Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu
2026 J jnl
Person identity shift for privacy-preserving person re-identification.
Sci. China Inf. Sci.
Shuguang Dou, Xinyang Jiang, Qingsong Zhao, Yansen Wang, Dongsheng Li, Cairong Zhao
2026 J jnl
RECOSIM: A Universal, Accurate, and Scalable Simulation Framework for Online Community Recommendations.
ACM Trans. Inf. Syst.
Guangping Zhang, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
2026 J jnl
Reasoning-Driven Multimodal LLM for Domain Generalization.
CoRR
Zhipeng Xu, Zilong Wang, Xinyang Jiang, Dongsheng Li, De Cheng, Nannan Wang
2026 J jnl
SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling.
CoRR
Yiqi Zhang, Huiqiang Jiang, Xufang Luo, Zhihe Yang, Chengruidong Zhang, Yifei Shen, Dongsheng Li, Yuqing Yang, Lili Qiu, Yang You
2026 J jnl
pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation.
CoRR
Shentong Mo, Xufang Luo, Dongsheng Li
2025 J jnl
A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer.
CoRR
Yuhui Tao, Zhongwei Zhao, Zilong Wang, Xufang Luo, Feng Chen, Kang Wang, Chuanfu Wu, Xue Zhang, Shaoting Zhang, Jiaxi Yao, Xingwei Jin, Xinyang Jiang, Yifan Yang, Dongsheng Li, Lili Qiu, Zhiqiang Shao, Jianming Guo, Nengwang Yu, Shuo Wang, Ying Xiong
2025 A conf
AOTree: Aspect Order Tree-Based Model for Explainable Recommendation.
ICWSM
Wenxin Zhao, Peng Zhang, Hansu Gu, Dongsheng Li, Tun Lu, Ning Gu
2025 J jnl
Addressing popularity discrepancy in collaborative filtering.
Knowl. Inf. Syst.
Cizhou Yu, Dongsheng Li, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu
2025 A* conf
Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization.
CVPR
Zhipeng Xu, De Cheng, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
2025 J jnl
Agent Lightning: Train ANY AI Agents with Reinforcement Learning.
CoRR
Xufang Luo, Yuge Zhang, Zhiyuan He, Zilong Wang, Siyun Zhao, Dongsheng Li, Luna K. Qiu, Yuqing Yang
2025 A* conf
AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations.
SIGIR
Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
2025 J jnl
Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models.
CoRR
Jiongran Wu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Li Shang, Tun Lu, Ning Gu
2025 J jnl
Chain-of-Model Learning for Language Model.
CoRR
Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
2025 J jnl
Denoising Reuse: Exploiting Inter-Frame Motion Consistency for Efficient Video Generation.
IEEE Trans. Circuits Syst. Video Technol.
Chenyu Wang, Shuo Yan, Yixuan Chen, Xianwei Wang, Yujiang Wang, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Rui Zhu, David A. Clifton, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
2025 J jnl
DermINO: Hybrid Pretraining for a Versatile Dermatology Foundation Model.
CoRR
Jingkai Xu, De Cheng, Xiangqian Zhao, Jungang Yang, Zilong Wang, Xinyang Jiang, Xufang Luo, Lili Chen, Xiaoli Ning, Chengxu Li, Xinzhu Zhou, Xuejiao Song, Ang Li, Qingyue Xia, Zhou Zhuang, Hongfei Ouyang, Ke Xue, Yujun Sheng, Rusong Meng, Feng Xu, Xi Yang, Weimin Ma, Yusheng Lee, Dongsheng Li, Xinbo Gao, Jianming Liang, Lili Qiu, Nannan Wang, Xianbo Zuo, Cui Yong
2025 J jnl
Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs.
CoRR
Zhihe Yang, Xufang Luo, Zilong Wang, Dongqi Han, Zhiyuan He, Dongsheng Li, Yunjian Xu
2025 A* conf
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation.
ICLR
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
2025 J jnl
EA-HAS-Bench and Language-Enhanced Shrinkage Search for Energy-Aware NAS.
IEEE Trans. Pattern Anal. Mach. Intell.
Cairong Zhao, Shuguang Dou, Jiale Zhao, Xinyang Jiang, Junyao Gao, Yuge Zhang, Bo Li, Dongsheng Li
2025 — conf
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction.
NAACL (Long Papers)
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang
2025 J jnl
EgoBrain: Synergizing Minds and Eyes For Human Action Understanding.
CoRR
Nie Lin, Yansen Wang, Dongqi Han, Weibang Jiang, Jingyuan Li, Ryosuke Furuta, Yoichi Sato, Dongsheng Li
2025 J jnl
Enhancing Cross-Domain Recommendations with Memory-Optimized LLM-Based User Agents.
CoRR
Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
2025 J jnl
Enhancing LLM-Based Recommendations Through Personalized Reasoning.
CoRR
Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
2025 J jnl
Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments.
CoRR
Jiashuo Wang, Kaitao Song, Chunpu Xu, Changhe Song, Yang Xiao, Dongsheng Li, Lili Qiu, Wenjie Li
2025 A conf
EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents.
CIKM
Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu
2025 — conf
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.
NAACL (Long Papers)
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang
2025 J jnl
Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts.
CoRR
Yubin Wang, Xinyang Jiang, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cairong Zhao
2025 A* conf
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation.
SIGIR
Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu
2025 J jnl
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation.
CoRR
Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu
2025 A* conf
Filtering Discomforting Recommendations with Large Language Models.
WWW
Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu
2025 — conf
Frequency-aware Graph Signal Processing for Collaborative Filtering.
WWW (Companion Volume)
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2025 A* conf
Habitizing Diffusion Planning for Efficient and Effective Decision Making.
ICML
Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
2025 J jnl
Habitizing Diffusion Planning for Efficient and Effective Decision Making.
CoRR
Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
2025 A* conf
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.
ICLR
Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2025 A* conf
Improving LLM-powered Recommendations with Personalized Information.
SIGIR
Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
2025 J jnl
LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems.
CoRR
Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu
2025 J jnl
MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention.
CoRR
Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2025 A* conf
MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention.
ICML
Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2025 — conf
Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel.
ACL (Findings)
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
2025 A* conf
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key.
CVPR
Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
2025 J jnl
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key.
CoRR
Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
2025 J jnl
Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling.
CoRR
Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
2025 A* conf
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals.
ICLR
Weibang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li
2025 J jnl
On Memory Construction and Retrieval for Personalized Conversational Agents.
CoRR
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
2025 A* conf
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference.
ICML
Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang
2025 A conf
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation.
WSDM
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2025 J jnl
Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization.
CoRR
De Cheng, Zhipeng Xu, Xinyang Jiang, Dongsheng Li, Nannan Wang, Xinbo Gao
2025 A* conf
SCBench: A KV Cache-Centric Analysis of Long-Context Methods.
ICLR
Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2025 A* conf
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents.
ICLR
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
2025 J jnl
SimSort: A Powerful Framework for Spike Sorting by Large-Scale Electrophysiology Simulation.
CoRR
Yimu Zhang, Dongqi Han, Yansen Wang, Yu Gu, Dongsheng Li
2025 J jnl
Toward Relative Positional Encoding in Spiking Transformers.
CoRR
Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
2025 J jnl
Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading.
CoRR
Zifan Song, Kaitao Song, Guosheng Hu, Ding Qi, Junyao Gao, Xiaohua Wang, Dongsheng Li, Cairong Zhao
2025 Misc conf
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding.
ICASSP
Jingyuan Li, Yansen Wang, Nie Lin, Dongsheng Li
2025 A* conf
Unbiased Collaborative Filtering with Fair Sampling.
SIGIR
Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
2025 J jnl
VisRL: Intention-Driven Visual Perception via Reinforced Reasoning.
CoRR
Zhangquan Chen, Xufang Luo, Dongsheng Li
2025 A* conf
What Makes a Good Diffusion Planner for Decision Making?
ICLR
Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
2025 J jnl
What Makes a Good Diffusion Planner for Decision Making?
CoRR
Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
2025 A* conf
pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation.
ICLR
Shentong Mo, Xufang Luo, Dongsheng Li
2024 J jnl
A Large-scale Medical Visual Task Adaptation Benchmark.
CoRR
Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li
2024 J jnl
AOTree: Aspect Order Tree-based Model for Explainable Recommendation.
CoRR
Wenxin Zhao, Peng Zhang, Hansu Gu, Dongsheng Li, Tun Lu, Ning Gu
2024 J jnl
ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding.
CoRR
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
2024 A* conf
Addressing Signal Delay in Deep Reinforcement Learning.
ICLR
William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
2024 A* conf
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.
NeurIPS
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
2024 J jnl
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.
CoRR
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
2024 A conf
Automated Contrastive Learning Strategy Search for Time Series.
CIKM
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024 J jnl
Automated Contrastive Learning Strategy Search for Time Series.
CoRR
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024 A* conf
CNN Kernels Can Be the Best Shapelets.
ICLR
Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
2024 J jnl
Compression-Realized Deep Structural Network for Video Quality Enhancement.
CoRR
Hanchi Sun, Xiaohong Liu, Xinyang Jiang, Yifei Shen, Dongsheng Li, Xiongkuo Min, Guangtao Zhai
2024 J jnl
Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation.
CoRR
Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu
2024 J jnl
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling.
CoRR
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
2024 J jnl
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation.
CoRR
Chenyu Wang, Shuo Yan, Yixuan Chen, Yujiang Wang, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
2024 J jnl
DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World.
CoRR
Wenli Sun, Xinyang Jiang, Dongsheng Li, Cairong Zhao
2024 A* conf
Disentangled Prompt Representation for Domain Generalization.
CVPR
De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
2024 J jnl
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction.
CoRR
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang
2024 A* conf
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals.
NeurIPS
Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng
2024 J jnl
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model.
CoRR
Yuqi Chen, Kan Ren, Kaitao Song, Yansen Wang, Yifan Wang, Dongsheng Li, Lili Qiu
2024 A* conf
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.
ICML
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
2024 J jnl
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.
CoRR
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
2024 J jnl
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.
CoRR
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang
2024 J jnl
Frequency-aware Graph Signal Processing for Collaborative Filtering.
CoRR
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2024 J jnl
GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering.
CoRR
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu
2024 J jnl
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling.
CoRR
Yubin Wang, Xinyang Jiang, De Cheng, Wenli Sun, Dongsheng Li, Cairong Zhao
2024 J jnl
Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation.
ACM Trans. Web
Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu
2024 A* conf
Hierarchical Graph Signal Processing for Collaborative Filtering.
WWW
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2024 J jnl
Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying, Caihua Shan, Yifei Shen, Xuanyi Dong, Yun Wang, Dongsheng Li, Cairong Zhao
2024 J jnl
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.
CoRR
Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2024 — conf
Improving Large Language Models in Event Relation Logical Prediction.
ACL (1)
Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li
2024 J jnl
Invisible Backdoor Attack With Dynamic Triggers Against Person Re-Identification.
IEEE Trans. Inf. Forensics Secur.
Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
2024 J jnl
LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation.
CoRR
Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, Lili Qiu
2024 A* conf
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.
IJCAI
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
2024 J jnl
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.
CoRR
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
2024 J jnl
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning.
CoRR
Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li
2024 J jnl
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence.
IEEE Commun. Mag.
Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief
2024 J jnl
Learning Domain Invariant Prompt for Vision-Language Models.
IEEE Trans. Image Process.
Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao
2024 A* conf
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models.
AAAI
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
2024 — conf
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.
ACL (1)
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
2024 A* conf
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.
NeurIPS
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
2024 J jnl
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.
CoRR
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
2024 — conf
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks.
EACL (1)
Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
2024 J jnl
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension.
CoRR
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
2024 A conf
Neural Kalman Filtering for Robust Temporal Recommendation.
WSDM
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2024 J jnl
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals.
CoRR
Wei-Bang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li
2024 A* conf
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge.
NeurIPS
Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
2024 J jnl
Online Streaming Video Super-Resolution With Convolutional Look-Up Table.
IEEE Trans. Image Process.
Guanghao Yin, Zefan Qu, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Xiaohong Liu, Yuqing Yang, Dongsheng Li, Lili Qiu
2024 — conf
Online Video Quality Enhancement with Spatial-Temporal Look-Up Tables.
ECCV (72)
Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao
2024 J jnl
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation.
CoRR
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2024 J jnl
RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework With LLM Agents.
IEEE Trans. Comput. Soc. Syst.
Yubo Shu, Haonan Zhang, Hansu Gu, Peng Zhang, Tun Lu, Dongsheng Li, Ning Gu
2024 J jnl
Re-ID-leak: Membership Inference Attacks Against Person Re-identification.
Int. J. Comput. Vis.
Junyao Gao, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cairong Zhao
2024 — book
Recommender Systems - Frontiers and Practices
Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu, Tao Wu, Xing Xie
2024 A* conf
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.
KDD
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2024 J jnl
Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path.
CoRR
Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan
2024 J jnl
SCBench: A KV Cache-Centric Analysis of Long-Context Methods.
CoRR
Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2024 J jnl
Simulating News Recommendation Ecosystems for Insights and Implications.
IEEE Trans. Comput. Soc. Syst.
Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Li Shang, Ning Gu
2024 A* conf
TaskBench: Benchmarking Large Language Models for Task Automation.
NeurIPS
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
2024 J jnl
The VEP Booster: A Closed-Loop AI System for Visual EEG Biomarker Auto-generation.
CoRR
Junwen Luo, Chengyong Jiang, Qingyuan Chen, Dongqi Han, Yansen Wang, Biao Yan, Dongsheng Li, Jiayi Zhang
2024 A* conf
Towards Editing Time Series.
NeurIPS
Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
2024 J jnl
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models.
CoRR
Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang
2024 A* conf
Training-free Multi-objective Diffusion Model for 3D Molecule Generation.
ICLR
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
2024 J jnl
Understanding Training-free Diffusion Guidance: Mechanisms and Limitations.
CoRR
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
2024 A* conf
Understanding and Improving Training-free Loss-based Diffusion Guidance.
NeurIPS
Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li
2024 — conf
Unified Medical Image Pre-training in Language-Guided Common Semantic Space.
ECCV (81)
Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu
2023 J jnl
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction.
CoRR
Fangye Wang, Yingxu Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2023 Misc conf
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition.
ICASSP
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
2023 J jnl
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition.
CoRR
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
2023 J jnl
A semantic relation-aware deep neural network model for end-to-end conversational recommendation.
Appl. Soft Comput.
Jiajin Wu, Bo Yang, Dongsheng Li, Lihui Deng
2023 J jnl
A time-aware self-attention based neural network model for sequential recommendation.
Appl. Soft Comput.
Yihu Zhang, Bo Yang, Haodong Liu, Dongsheng Li
2023 J jnl
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine.
CoRR
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li
2023 A* conf
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning.
AAAI
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
2023 J jnl
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning.
CoRR
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
2023 A conf
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation.
CIKM
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
2023 J jnl
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation.
CoRR
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
2023 J jnl
Biological Factor Regulatory Neural Network.
CoRR
Xinnan Dai, Caihua Shan, Jie Zheng, Xiaoxiao Li, Dongsheng Li
2023 A conf
CL4CTR: A Contrastive Learning Framework for CTR Prediction.
WSDM
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2023 A* conf
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling.
ICML
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
2023 A* conf
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling.
NeurIPS
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
2023 A* conf
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer.
ICLR
Eric Qu, Xufang Luo, Dongsheng Li
2023 — conf
DiffusionNER: Boundary Diffusion for Named Entity Recognition.
ACL (1)
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
2023 J jnl
DiffusionNER: Boundary Diffusion for Named Entity Recognition.
CoRR
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
2023 J jnl
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models.
CoRR
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
2023 A* conf
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark.
ICLR
Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
2023 A conf
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training.
INTERSPEECH
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
2023 J jnl
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training.
CoRR
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
2023 J jnl
Entity-driven user intent inference for knowledge graph-based recommendation.
Appl. Intell.
Shaosong Li, Bo Yang, Dongsheng Li
2023 A* conf
Explaining Temporal Graph Models through an Explorer-Navigator Framework.
ICLR
Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li
2023 J jnl
Global spatio-temporal aware graph neural network for next point-of-interest recommendation.
Appl. Intell.
Jingkuan Wang, Bo Yang, Haodong Liu, Dongsheng Li
2023 J jnl
Graph Collaborative Filtering Based on Dual-Message Propagation Mechanism.
IEEE Trans. Cybern.
Haodong Liu, Bo Yang, Dongsheng Li
2023 J jnl
Habits and goals in synergy: a variational Bayesian framework for behavior.
CoRR
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
2023 A* conf
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.
NeurIPS
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
2023 J jnl
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace.
CoRR
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
2023 J jnl
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
CoRR
Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li
2023 J jnl
Label Propagation for Graph Label Noise.
CoRR
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2023 J jnl
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence.
CoRR
Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief
2023 A* conf
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling.
AAAI
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
2023 J jnl
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models.
CoRR
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
2023 A* conf
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
KDD
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023 J jnl
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
CoRR
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023 J jnl
Learning To Teach Large Language Models Logical Reasoning.
CoRR
Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li
2023 A* conf
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling.
NeurIPS
Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
2023 Misc conf
Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer's Disease Detection.
ICASSP
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
2023 J jnl
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection.
CoRR
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
2023 J jnl
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.
CoRR
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
2023 J jnl
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks.
CoRR
Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
2023 J jnl
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables.
CoRR
Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao
2023 J jnl
Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion.
CoRR
Guanghao Yin, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Donglin Bai, Haisheng Tan, Shouqian Sun, Yuqing Yang, Dongsheng Li, Lili Qiu
2023 J jnl
Online Video Super-Resolution With Convolutional Kernel Bypass Grafts.
IEEE Trans. Multim.
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
2023 A* conf
Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition.
ICLR
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
2023 A* conf
Personalized Graph Signal Processing for Collaborative Filtering.
WWW
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2023 J jnl
Personalized Graph Signal Processing for Collaborative Filtering.
CoRR
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2023 B conf
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.
SMC
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
2023 J jnl
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.
CoRR
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
2023 J jnl
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models.
CoRR
Yubo Shu, Hansu Gu, Peng Zhang, Haonan Zhang, Tun Lu, Dongsheng Li, Ning Gu
2023 J jnl
Recommendation Unlearning via Matrix Correction.
CoRR
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Jiongran Wu, Peng Zhang, Li Shang, Ning Gu
2023 J jnl
Relevance-aware graph neural network for session-based recommendation.
Computing
Yaohai Zeng, Bo Yang, Xiangchao Wen, Dongsheng Li
2023 A* conf
SIMPLE: Specialized Model-Sample Matching for Domain Generalization.
ICLR
Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
2023 A* conf
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
WWW
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023 J jnl
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals.
CoRR
Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu
2023 J jnl
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
CoRR
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023 A* conf
Similarity Distribution Based Membership Inference Attack on Person Re-identification.
AAAI
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
2023 J jnl
Simulating News Recommendation Ecosystem for Fun and Profit.
CoRR
Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Li Shang, Ning Gu
2023 J jnl
TaskBench: Benchmarking Large Language Models for Task Automation.
CoRR
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
2023 J jnl
Toward Open-ended Embodied Tasks Solving.
CoRR
William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li
2023 A conf
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction.
CIKM
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
2023 J jnl
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction.
CoRR
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
2023 A* conf
Towards Inference Efficient Deep Ensemble Learning.
AAAI
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
2023 J jnl
Towards Inference Efficient Deep Ensemble Learning.
CoRR
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
2023 — conf
Towards Understanding Omission in Dialogue Summarization.
ACL (1)
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
2023 A* conf
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models.
NeurIPS
Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang
2023 A* conf
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation.
SIGIR
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2023 J jnl
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation.
CoRR
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2023 J jnl
Unified Medical Image Pre-training in Language-Guided Common Semantic Space.
CoRR
Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu
2023 Misc conf
Unsupervised Video Anomaly Detection For Stereotypical Behaviours in Autism.
ICASSP
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
2023 J jnl
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism.
CoRR
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
2022 J jnl
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline.
IEEE Trans. Multim.
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
2022 A* conf
Accurate and Explainable Recommendation via Review Rationalization.
WWW
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
2022 A* conf
Bootstrapped Transformer for Offline Reinforcement Learning.
NeurIPS
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
2022 J jnl
Bootstrapped Transformer for Offline Reinforcement Learning.
CoRR
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
2022 J jnl
CL4CTR: A Contrastive Learning Framework for CTR Prediction.
CoRR
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 A* conf
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis.
KDD
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
2022 J jnl
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis.
CoRR
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
2022 A* conf
Cross-modal Ambiguity Learning for Multimodal Fake News Detection.
WWW
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Tun Lu, Li Shang
2022 J jnl
Domain Generalization using Pretrained Models without Fine-tuning.
CoRR
Ziyue Li, Kan Ren, Xinyang Jiang, Bo Li, Haipeng Zhang, Dongsheng Li
2022 A* conf
Enhancing CTR Prediction with Context-Aware Feature Representation Learning.
SIGIR
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 J jnl
Enhancing CTR Prediction with Context-Aware Feature Representation Learning.
CoRR
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 A* conf
FIRE: Fast Incremental Recommendation with Graph Signal Processing.
WWW
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
2022 A* conf
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
ICML
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
2022 J jnl
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
CoRR
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
2022 A conf
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech.
INTERSPEECH
Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna Qiu, Jiahang Xu, Liping Jiang, Qun Lou, Yuqing Yang, Dongsheng Li, Xudong Wang, Lili Qiu
2022 A* conf
Invariant Information Bottleneck for Domain Generalization.
AAAI
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
2022 J jnl
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification.
CoRR
Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
2022 J jnl
Learning Domain Invariant Prompt for Vision-Language Models.
CoRR
Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao
2022 — conf
MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework.
DASFAA (2)
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu
2022 A* conf
MINDSim: User Simulator for News Recommenders.
WWW
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
2022 J jnl
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation.
CoRR
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
2022 J jnl
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
2022 A* conf
Neural Piecewise-Constant Delay Differential Equations.
AAAI
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
2022 J jnl
Neural Piecewise-Constant Delay Differential Equations.
CoRR
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
2022 J jnl
Online Video Super-Resolution with Convolutional Kernel Bypass Graft.
CoRR
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
2022 A* conf
Parameter-free Dynamic Graph Embedding for Link Prediction.
NeurIPS
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 J jnl
Parameter-free Dynamic Graph Embedding for Link Prediction.
CoRR
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 — conf
Popularity Bias Analysis of Recommendation Algorithm Based on ABM Simulation.
ChineseCSCW (1)
Cizhou Yu, Dongsheng Li, Tun Lu, Yichuan Jiang
2022 A* conf
Recursive Disentanglement Network.
ICLR
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert P. Dick, Qin Lv, Fan Yang, Li Shang
2022 A* conf
Reinforcement Learning with Automated Auxiliary Loss Search.
NeurIPS
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022 J jnl
Reinforcement Learning with Automated Auxiliary Loss Search.
CoRR
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022 J jnl
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering.
CoRR
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
2022 A* conf
RendNet: Unified 2D/3D Recognizer with Latent Space Rendering.
CVPR
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
2022 J jnl
Similarity Distribution based Membership Inference Attack on Person Re-identification.
CoRR
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
2022 C conf
Team Formation and Task Recommendation for Disabled People in Crowdsourcing Systems.
CSCWD
Yifan Liang, Zongzheng Zou, Peng Zhang, Dongsheng Li, Tun Lu, Ning Gu
2022 A* conf
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
IJCAI
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022 J jnl
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
CoRR
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022 J jnl
Towards Privacy-Preserving Person Re-identification via Person Identify Shift.
CoRR
Shuguang Dou, Xinyang Jiang, Qingsong Zhao, Dongsheng Li, Cairong Zhao
2022 J jnl
Towards Understanding Omission in Dialogue Summarization.
CoRR
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Tao Gui, Qi Zhang, Dongsheng Li
2022 A* conf
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling.
NeurIPS
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
2022 J jnl
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling.
CoRR
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
2022 J jnl
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Sharon Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang
2022 A* conf
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning.
NeurIPS
Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li
2022 J jnl
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning.
CoRR
Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li
2022 A* conf
Variational oracle guiding for reinforcement learning.
ICLR
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2022 J jnl
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.
CoRR
Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li
2021 J jnl
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline.
CoRR
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
2021 C conf
A Review Construction-based Approach to Collaborative Filtering.
CSCWD
Bo Yang, Hui Liu, Jicheng Lei, Dongsheng Li, Peng Wang
2021 J jnl
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence.
Knowl. Based Syst.
Chao Yang, Weixin Zhou, Zhiyu Wang, Bin Jiang, Dongsheng Li, Huawei Shen
2021 A conf
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
CIKM
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 — conf
Decentralized Statistical Inference with Unrolled Graph Neural Networks.
CDC
He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu
2021 J jnl
Decentralized Statistical Inference with Unrolled Graph Neural Networks.
CoRR
He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu
2021 A* conf
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.
ICCV
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
2021 J jnl
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.
CoRR
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
2021 J jnl
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision.
CoRR
Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li
2021 A conf
How Powerful is Graph Convolution for Recommendation?
CIKM
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li
2021 J jnl
How Powerful is Graph Convolution for Recommendation?
CoRR
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li
2021 A conf
Incremental Graph Convolutional Network for Collaborative Filtering.
CIKM
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2021 J jnl
Invariant Information Bottleneck for Domain Generalization.
CoRR
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao
2021 A conf
Learning Content and Context with Language Bias for Visual Question Answering.
ICME
Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang
2021 A* conf
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation.
CVPR
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao
2021 A* conf
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.
KDD
Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
2021 J jnl
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.
CoRR
Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
2021 J jnl
Mixture Matrix Approximation for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng.
Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu
2021 J jnl
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering.
CoRR
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
2021 J jnl
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering.
ACM Trans. Knowl. Discov. Data
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
2021 A* conf
Recognizing Vector Graphics without Rasterization.
NeurIPS
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
2021 J jnl
Recognizing Vector Graphics without Rasterization.
CoRR
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
2021 A* conf
Reinforcement Learning Enhanced Explainer for Graph Neural Networks.
NeurIPS
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
2021 — conf
SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation.
DASFAA (3)
Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu
2021 A* conf
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning.
AAAI
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
2021 A* conf
Towards Generating Real-World Time Series Data.
ICDM
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
2021 J jnl
Towards Generating Real-World Time Series Data.
CoRR
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
2020 J jnl
Gated and attentive neural collaborative filtering for user generated list recommendation.
Knowl. Based Syst.
Chao Yang, Lianhai Miao, Bin Jiang, Dongsheng Li, Da Cao
2020 J jnl
Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering.
IEEE Access
Weizhao Tang, Tun Lu, Dongsheng Li, Hansu Gu, Ning Gu
2020 J jnl
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation.
CoRR
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao
2020 J jnl
Learning content and context with language bias for Visual Question Answering.
CoRR
Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang
2020 J jnl
Memory-aware gated factorization machine for top-N recommendation.
Knowl. Based Syst.
Bo Yang, Jing Chen, Zhongfeng Kang, Dongsheng Li
2020 J jnl
PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension.
CoRR
Chao Yang, Guoqing Wang, Dongsheng Li, Huawei Shen, Su Feng, Bin Jiang
2019 — conf
A Recommendation Method of Barrier-Free Facilities Construction Based on Geographic Information.
ChineseCSCW
Peng Liu, Zhenghao Zhang, Tun Lu, Dongsheng Li, Ning Gu
2019 A conf
Collaborative Filtering with Noisy Ratings.
SDM
Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu
2019 C conf
Matrix Approximation with Cumulative Penalty for Collaborative Filtering.
CSCWD
Jiaming Cui, Tun Lu, Dongsheng Li, Ning Gu
2019 A conf
Synergizing Local and Global Models for Matrix Approximation.
CIKM
Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang
2018 J jnl
A Scalable Algorithm for Privacy-Preserving Item-based Top-N Recommendation.
CoRR
Yingying Zhao, Dongsheng Li, Qin Lv, Li Shang
2018 A* conf
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering.
WWW
Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu
2018 C conf
An Algorithmic Method for Tampering-Proof and Privacy-Preserving Smart Metering.
INDIN
Dongsheng Li, Yingying Zhao, Yawen Zhang, Qin Lv, Li Shang
2018 J jnl
Collaborative Filtering with Stability.
CoRR
Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
2018 C conf
Deriving Customer Privacy from Randomly Perturbed Smart Metering Data.
INDIN
Yingying Zhao, Dongsheng Li, Qi Liu, Qin Lv, Li Shang
2018 — conf
Stable Matrix Approximation for Top-N Recommendation on Implicit Feedback Data.
HICSS
Dongsheng Li, Changyu Miao, Stephen M. Chu, Jason Mallen, Tomomi Yoshioka, Pankaj Srivastava
2017 A* conf
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems.
AAAI
Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha
2017 J jnl
Efficient privacy-preserving content recommendation for online social communities.
Neurocomputing
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
2017 A* conf
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.
AAAI
Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
2017 — conf
Mixture-Rank Matrix Approximation for Collaborative Filtering.
NIPS
Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen M. Chu
2017 C conf
Multi-task matrix factorization for collaborative filtering.
CSCWD
Wanlu Shi, Tun Lu, Dongsheng Li, Peng Zhang, Ning Gu
2016 J jnl
An algorithm for efficient privacy-preserving item-based collaborative filtering.
Future Gener. Comput. Syst.
Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Yingying Zhao, Tun Lu, Ning Gu
2016 A* conf
Low-Rank Matrix Approximation with Stability.
ICML
Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
2016 A* conf
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
IJCAI
Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang
2016 J jnl
SalesExplorer: Exploring sales opportunities from white-space customers in the enterprise market.
Knowl. Based Syst.
Dongsheng Li, Yaoping Ruan, Qin Lv, Li Shang
2015 A* conf
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation.
SIGIR
Chao Chen, Dongsheng Li, Yingying Zhao, Qin Lv, Li Shang
2014 J jnl
Item-based top-N recommendation resilient to aggregated information revelation.
Knowl. Based Syst.
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
2013 C conf
AOPUT: A recommendation framework based on social activities and content interests.
CSCWD
Yingying Deng, Tun Lu, Huanhuan Xia, Dongsheng Li, Tiejiang Liu, Xianghua Ding, Ning Gu
2012 J jnl
Interest-based real-time content recommendation in online social communities.
Knowl. Based Syst.
Dongsheng Li, Qin Lv, Xing Xie, Li Shang, Huanhuan Xia, Tun Lu, Ning Gu
2011 — conf
Pistis: A Privacy-Preserving Content Recommender System for Online Social Communities.
Web Intelligence
Dongsheng Li, Qin Lv, Huanhuan Xia, Li Shang, Tun Lu, Ning Gu
2011 A conf
YANA: an efficient privacy-preserving recommender system for online social communities.
CIKM
Dongsheng Li, Qin Lv, Li Shang, Ning Gu