Publications (86)
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation
Yong Liu, Yinan Zhang, Qiong Wu +5
A Survey on Federated Recommendation Systems
Zehua Sun, Yonghui Xu, Yong Liu +5
Enhancing Social Recommendation with Adversarial Graph Convolutional Networks
Junliang Yu, Hongzhi Yin, Jundong Li +3
CodeV: Issue Resolving with Visual Data
Linhao Zhang, Daoguang Zan, Quanshun Yang +10
Crowdsourcing with Meta-Workers: A New Way to Save the Budget
Guangyang Han, Guoxian Yu, Lizhen Cui +2
DAG-AFL:Directed Acyclic Graph-based Asynchronous Federated Learning
Shuaipeng Zhang, Lanju Kong, Yixin Zhang +4
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Shijie Zhang, Hongzhi Yin, Tong Chen +3
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks
Xiaofang Sun, Xiangwei Zheng, Yonghui Xu +2
New Permutation Decomposition Techniques for Efficient Homomorphic Permutation
Xirong Ma, Junling Fang, Chunpeng Ge +5
LLM-empowered Agents Simulation Framework for Scenario Generation in Service Ecosystem Governance
Deyu Zhou, Yuqi Hou, Xiao Xue +3
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Wei Yuan, Liang Qu, Lizhen Cui +3
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen +3
Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang, Yong Liu, Yonghui Xu +5
Epidemiology-informed Network for Robust Rumor Detection
Wei Jiang, Tong Chen, Xinyi Gao +3
Multi-modal Food Recommendation using Clustering and Self-supervised Learning
Yixin Zhang, Xin Zhou, Qianwen Meng +4
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
Liang Qu, Wei Yuan, Ruiqi Zheng +3
CodeS: Natural Language to Code Repository via Multi-Layer Sketch
Daoguang Zan, Ailun Yu, Wei Liu +11
Self-Supervised Graph Co-Training for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu +2
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System
Tong Zhang, Yong Liu, Boyang Li +5
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
Zhixiang Su, Di Wang, Chunyan Miao +1
Graph Embedding for Recommendation against Attribute Inference Attacks
Shijie Zhang, Hongzhi Yin, Tong Chen +3
Relational Database Distillation: From Structured Tables to Condensed Graph Data
Xinyi Gao, Jingxi Zhang, Lijian Chen +3
PaperRepro: Automated Computational Reproducibility Assessment for Social Science Papers
Linhao Zhang, Tong Xia, Jinghua Piao +2
From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?
Chang'an Yi, Haotian Chen, Yifan Zhang +3
Towards Personalized Federated Learning
Alysa Ziying Tan, Han Yu, Lizhen Cui +1
M3MAD-Bench: Multi-Dimensional Evaluation of Multi-Agent Debate Across Domains and Modalities
Ao Li, Jinghui Zhang, Luyu Li +10
Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition
Xiaoxiao Cui, Yiran Li, Kai He +7
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Sixiao Zhang, Hongxu Chen, Xiao Ming +3
Ethically Aligned Opportunistic Scheduling for Productive Laziness
Han Yu, Chunyan Miao, Yongqing Zheng +3
A Cost-Effective Strategy for Storing Scientific Datasets with Multiple Service Providers in the Cloud
Dong Yuan, Lizhen Cui, Xiao Liu +2
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu, Yuanyuan Chen, Han Yu +2
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
Yuchuan Zhao, Tong Chen, Junliang Yu +3
Open-Set Crowdsourcing using Multiple-Source Transfer Learning
Guangyang Han, Guoxian Yu, Lei Liu +3
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
Chang Liu, Han Yu, Boyang Li +6
GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning
Shuyue Wei, Wantong Chen, Tongyu Wei +3
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts
Haiyang Jiang, Tong Chen, Wentao Zhang +4
Large Language Model Enhanced Text-to-SQL Generation: A Survey
Xiaohu Zhu, Qian Li, Lizhen Cui +1
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
Ruiqi Zheng, Liang Qu, Tong Chen +3
Towards AI-Empowered Crowdsourcing
Shipeng Wang, Qingzhong Li, Lizhen Cui +6
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Chang Liu, Han Yu, Boyang Li +6
Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
Yuchuan Zhao, Tong Chen, Junliang Yu +3
Physics-guided Active Sample Reweighting for Urban Flow Prediction
Wei Jiang, Tong Chen, Guanhua Ye +4
FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints
Songyuan Li, Jiwei Huang, Bo Cheng +2
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
Shijie Zhang, Hongzhi Yin, Tong Chen +3
Reliable Cross-modal Alignment via Prototype Iterative Construction
Xiang Ma, Litian Xu, Lexin Fang +2
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation
Guanhua Ye, Tong Chen, Yawen Li +3
Hyperbolic Hypergraphs for Sequential Recommendation
Yicong Li, Hongxu Chen, Xiangguo Sun +5
LexPro-1.0 Technical Report
Haotian Chen, Yanyu Xu, Boyan Wang +5
Delineating Knowledge Boundaries for Honest Large Vision-Language Models
Junru Song, Yimeng Hu, Yijing Chen +4
Coarse-to-Fine Learning of Dynamic Causal Structures
Dezhi Yang, Qiaoyu Tan, Carlotta Domeniconi +3
GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis
Shaoting Tan, Ning Liu, Yuntao Du +7
Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines
Lu Bai, Ziwei Huang, Mingran Sun +2
An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units
Yibowen Zhao, Yiming Cao, Zhiqi Shen +4
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen +3
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu, Keyi Kong, Ning Liu +4
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
Yifan Jia, Kailin Jiang, Yuyang Liang +11
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Hongzhi Yin, Xin Xia +3
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models
Chuan Sun, Han Yu, Lizhen Cui +1
Explicit Knowledge Graph Reasoning for Conversational Recommendation
Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen +3
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
Qianwen Meng, Hangwei Qian, Yong Liu +3
Bringing GRACE to Recommendation: Fine-Tuning for Sustainable and Accurate Personalization
Yibowen Zhao, Yinan Zhang, Ning Liu +2
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising
Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng +5
Interaction-level Membership Inference Attack Against Federated Recommender Systems
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen +3
COSINT-Agent: A Knowledge-Driven Multimodal Agent for Chinese Open Source Intelligence
Wentao Li, Congcong Wang, Xiaoxiao Cui +3
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels
Jingfeng Zhang, Xilie Xu, Bo Han +4
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng, Hangwei Qian, Yong Liu +3
Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models
Tianfan Peng, Yuntao Du, Pengzhou Ji +9
Commonsense knowledge adversarial dataset that challenges ELECTRA
Gongqi Lin, Yuan Miao, Xiaoyong Yang +4
MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents
Shuyue Wei, Chang Liu, Zimu Zhou +2
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models
Jie Ma, Zhitao Gao, Qi Chai +8
Few-Shot Partial-Label Learning
Yunfeng Zhao, Guoxian Yu, Lei Liu +3
Towards Interpretable Federated Learning
Anran Li, Rui Liu, Ming Hu +4
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Guanhua Ye, Hongzhi Yin, Tong Chen +3
Continuous Input Embedding Size Search For Recommender Systems
Yunke Qu, Tong Chen, Xiangyu Zhao +3
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation
Lei Zhang, Mingliang Wang, Xin Zhou +5
Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market
Deyu Zhou, Yuwei Guo, Xudong Lu +3
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu +3
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
Zhixiang Su, Di Wang, Chunyan Miao +1
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
Nan Yang, Xuanyu Chen, Charles Z. Liu +3
Beyond Traditional Diagnostics: Transforming Patient-Side Information into Predictive Insights with Knowledge Graphs and Prototypes
Yibowen Zhao, Yinan Zhang, Zhixiang Su +2
Unified Question Generation with Continual Lifelong Learning
Wei Yuan, Hongzhi Yin, Tieke He +3
Lightweight Embeddings for Graph Collaborative Filtering
Xurong Liang, Tong Chen, Lizhen Cui +3
Cross-modal Zero-shot Hashing by Label Attributes Embedding
Runmin Wang, Guoxian Yu, Lei Liu +3
Generating Persuasive Visual Storylines for Promotional Videos
Chang Liu, Yi Dong, Han Yu +8
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
Liping Yi, Han Yu, Zhuan Shi +4
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang, Xilie Xu, Bo Han +4