HDenDist: Nonlinear Hierarchical Clustering Based on Density and Min-distance. - Wen-Qi Fan; Chang-Dong Wang 001; Yuan-Wei Chen; Jian-Huang Lai (BDCloud, 2015)

SDenPeak: Semi-supervised Nonlinear Clustering Based on Density and Distance. - Wen-Qi Fan; Chang-Dong Wang 001; Jian-Huang Lai (BigDataService, 2016)

Deep Modeling of Social Relations for Recommendation. - Wenqi Fan; Qing Li 001; Min Cheng (AAAI, 2018)

Correlation Alignment Based On Sparse Matrix Transform for Unsupervised Domain Adaptation in Hyperspectral Image Classification. - Tianhui Wei; Wenqi Fan; Jiangtao Peng; Weiwei Sun 005 (IGARSS, 2019)

Deep Adversarial Social Recommendation. - Wenqi Fan; Tyler Derr; Yao Ma 001; Jianping Wang 001; Jiliang Tang; Qing Li 001 (IJCAI, 2019)

Ideal Regularized Kernel Subspace Alignment for Unsupervised Domain Adaptation in Hyperspectral Image Classification. - Wenqi Fan; Tianhui Wei; Jiangtao Peng; Weiwei Sun 005 (MultiTemp, 2019)

Deep social collaborative filtering. - Wenqi Fan; Yao Ma 001; Dawei Yin; Jianping Wang 001; Jiliang Tang; Qing Li 001 (RecSys, 2019)

Graph Neural Networks for Social Recommendation. - Wenqi Fan; Yao Ma 001; Qing Li 001; Yuan He; Yihong Eric Zhao; Jiliang Tang; Dawei Yin (WWW, 2019)

Does Gender Matter? Towards Fairness in Dialogue Systems. - Haochen Liu; Jamell Dacon; Wenqi Fan; Hui Liu 031; Zitao Liu 001; Jiliang Tang (COLING, 2020)

Improving Social Recommendations with Item Relationships. - Haifeng Liu 002; Hongfei Lin; Bo Xu 009; Liang Yang 003; Yuan Lin 001; Yonghe Chu; Wenqi Fan; Nan Zhao 001 (ICONIP (4), 2020)

Deep Adversarial Canonical Correlation Analysis. - Wenqi Fan; Yao Ma 001; Han Xu 002; Xiaorui Liu; Jianping Wang 001; Qing Li 001; Jiliang Tang (SDM, 2020)

Global-and-Local Aware Data Generation for the Class Imbalance Problem. - Wentao Wang 006; Suhang Wang; Wenqi Fan; Zitao Liu 001; Jiliang Tang (SDM, 2020)

Epidemic Graph Convolutional Network. - Tyler Derr; Yao Ma 001; Wenqi Fan; Xiaorui Liu; Charu C. Aggarwal; Jiliang Tang (WSDM, 2020)

The diffusion of intelligent manufacturing applications based SIR model. - Lei Wang; Mengwei Wu; Xueqi Xu; Wenqi Fan (J. Intell. Fuzzy Syst., 2020)

Attacking Black-box Recommendations via Copying Cross-domain User Profiles. - Wenqi Fan; Tyler Derr; Xiangyu Zhao 001; Yao Ma 001; Hui Liu 031; Jianping Wang 001; Jiliang Tang; Qing Li 001 (ICDE, 2021)

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. - Xiangyu Zhao 001; Haochen Liu; Wenqi Fan; Hui Liu 031; Jiliang Tang; Chong Wang; Ming Chen; Xudong Zheng; Xiaobing Liu; Xiwang Yang (ICDM, 2021)

AutoLoss: Automated Loss Function Search in Recommendations. - Xiangyu Zhao 001; Haochen Liu; Wenqi Fan; Hui Liu 031; Jiliang Tang; Chong Wang (KDD, 2021)

Trustworthy AI: A Computational Perspective. - Haochen Liu; Yiqi Wang 001; Wenqi Fan; Xiaorui Liu; Yaxin Li 001; Shaili Jain; Anil K. Jain 001; Jiliang Tang (CoRR, 2021)

Graph Trend Networks for Recommendations. - Wenqi Fan; Xiaorui Liu; Wei Jin 009; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (CoRR, 2021)

Multi-Type Urban Crime Prediction. - Xiangyu Zhao 001; Wenqi Fan; Hui Liu 031; Jiliang Tang (AAAI, 2022)

Disentangled Contrastive Learning for Social Recommendation. - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qing Li 001; Ke Tang 001 (CIKM, 2022)

Knowledge-enhanced Black-box Attacks for Recommendations. - Jingfan Chen; Wenqi Fan; Guanghui Zhu; Xiangyu Zhao 001; Chunfeng Yuan; Qing Li 001; Yihua Huang 001 (KDD, 2022)

Fairness Reprogramming. - Guanhua Zhang; Yihua Zhang; Yang Zhang 001; Wenqi Fan; Qing Li 001; Sijia Liu 001; Shiyu Chang (NeurIPS, 2022)

Graph Trend Filtering Networks for Recommendation. - Wenqi Fan; Xiaorui Liu; Wei Jin 009; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (SIGIR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Self-supervised learning for fair recommender systems. - Haifeng Liu 002; Hongfei Lin; Wenqi Fan; Yuqi Ren; Bo Xu 009; Xiaokun Zhang 001; Dongzhen Wen; Nan Zhao 001; Yuan Lin 001; Liang Yang 003 (Appl. Soft Comput., 2022)

Identifying the kind behind SMILES - anatomical therapeutic chemical classification using structure-only representations. - Yi Cao; Zhen-Qun Yang; Xu-Lu Zhang; Wenqi Fan; Yaowei Wang 001; Jiajun Shen; Dong-Qing Wei; Qing Li 001; Xiao-Yong Wei (Briefings Bioinform., 2022)

Automated Machine Learning for Deep Recommender Systems: A Survey. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (CoRR, 2022)

Defense Against Gradient Leakage Attacks via Learning to Obscure Data. - Yuxuan Wan; Han Xu 002; Xiaorui Liu; Jie Ren 019; Wenqi Fan; Jiliang Tang (CoRR, 2022)

A Comprehensive Survey on Trustworthy Recommender Systems. - Wenqi Fan; Xiangyu Zhao 001; Xiao Chen 016; Jingran Su; Jingtong Gao; Lin Wang 040; Qidong Liu 002; Yiqi Wang 001; Han Xu 002; Lei Chen 002; Qing Li 001 (CoRR, 2022)

Dual constraints and adversarial learning for fair recommenders. - Haifeng Liu 002; Nan Zhao 001; Xiaokun Zhang 001; Hongfei Lin; Liang Yang 003; Bo Xu 009; Yuan Lin 001; Wenqi Fan (Knowl. Based Syst., 2022)

Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation. - Hao Xu 002; Bo Yang 011; Xiangkun Liu; Wenqi Fan; Qing Li 001 (Knowl. Based Syst., 2022)

A Graph Neural Network Framework for Social Recommendations. - Wenqi Fan; Yao Ma 001; Qing Li 001; Jianping Wang 001; Guoyong Cai; Jiliang Tang; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2022)

Jointly Attacking Graph Neural Network and its Explanations. - Wenqi Fan; Han Xu 002; Wei Jin 009; Xiaorui Liu; Xianfeng Tang; Suhang Wang; Qing Li 001; Jiliang Tang; Jianping Wang 001; Charu C. Aggarwal (ICDE, 2023)

Generative Diffusion Models on Graphs: Methods and Applications. - Chengyi Liu; Wenqi Fan; Yunqing Liu; Jiatong Li 003; Hang Li 007; Hui Liu 031; Jiliang Tang; Qing Li 001 (IJCAI, 2023)

Trustworthy Recommender Systems: Foundations and Frontiers. - Wenqi Fan; Xiangyu Zhao 001; Lin Wang 040; Xiao Chen 016; Jingtong Gao; Qidong Liu 002; Shijie Wang 002 (KDD, 2023)

STRec: Sparse Transformer for Sequential Recommendations. - Chengxi Li 013; Yejing Wang; Qidong Liu 002; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Lixin Zou; Wenqi Fan; Qing Li 001 (RecSys, 2023)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Liu Cai; Chi Zhang 060; Xiangyu Zhao 001; Jingtong Gao; Wanyu Wang; Yifu Lv; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (SIGIR, 2023)

AutoML for Deep Recommender Systems: Fundamentals and Advances. - Ruiming Tang; Bo Chen 023; Yejing Wang; Huifeng Guo; Yong Liu 020; Wenqi Fan; Xiangyu Zhao 001 (WSDM, 2023)

Fairly Adaptive Negative Sampling for Recommendations. - Xiao Chen 016; Wenqi Fan; Jingfan Chen; Haochen Liu; Zitao Liu 001; Zhaoxiang Zhang 001; Qing Li 001 (WWW, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Recommender Systems in the Era of Large Language Models (LLMs). - Wenqi Fan; Zihuai Zhao; Jiatong Li 003; Yunqing Liu; Xiaowei Mei; Yiqi Wang 001; Jiliang Tang; Qing Li 001 (CoRR, 2023)

Certified Robustness for Large Language Models with Self-Denoising. - Zhen Zhang; Guanhua Zhang; Bairu Hou; Wenqi Fan; Qing Li 001; Sijia Liu 001; Yang Zhang 001; Shiyu Chang (CoRR, 2023)

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Qing Li 001; Ke Tang 001 (CoRR, 2023)

Dataset Condensation for Recommendation. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (CoRR, 2023)

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. - Yingqian Cui; Jie Ren 019; Yuping Lin; Han Xu 002; Pengfei He; Yue Xing 002; Wenqi Fan; Hui Liu 031; Jiliang Tang (CoRR, 2023)

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (CoRR, 2023)

Untargeted Black-box Attacks for Social Recommendations. - Wenqi Fan; Shijie Wang 002; Xiaoyong Wei; Xiaowei Mei; Qing Li 001 (CoRR, 2023)

Trustworthy AI: A Computational Perspective. - Haochen Liu; Yiqi Wang 001; Wenqi Fan; Xiaorui Liu; Yaxin Li 001; Shaili Jain; Yunhao Liu 001; Anil K. Jain 001; Jiliang Tang (ACM Trans. Intell. Syst. Technol., 2023)

M-Denoiser: Unsupervised image denoising for real-world optical and electron microscopy data. - Xiaoya Chong; Min Cheng; Wenqi Fan; Qing Li 001; Howard Leung (Comput. Biol. Medicine, 2023)

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. - Zhikai Chen; Haitao Mao; Hang Li 007; Wei Jin 009; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2023)

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. - Wenqi Fan; Xiangyu Zhao 001; Qing Li 001; Tyler Derr; Yao Ma 001; Hui Liu 031; Jianping Wang 001; Jiliang Tang (IEEE Trans. Knowl. Data Eng., 2023)

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. - Tingting Liang; Chenxin Jin; Lingzhi Wang 001; Wenqi Fan; Congying Xia; Kai Chen; Yuyu Yin (ACL (Findings), 2024)

Accelerating Communication for Distributed Training with Collaborative In-network Aggregation. - Long Luo; Xixi Chen; Shulin Yang; Wenqi Fan; Hongfang Yu (ICCT, 2024)

Revisiting Link Prediction: a data perspective. - Haitao Mao; Juanhui Li; Harry Shomer; Bingheng Li; Wenqi Fan; Yao Ma 001; Tong Zhao 003; Neil Shah; Jiliang Tang (ICLR, 2024)

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. - Mohammad Hashemi; Shengbo Gong; Juntong Ni; Wenqi Fan; B. Aditya Prakash; Wei Jin 009 (IJCAI, 2024)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. - Wenqi Fan; Yujuan Ding; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li 001 (KDD, 2024)

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. - Liang-Bo Ning 001; Shijie Wang 002; Wenqi Fan; Qing Li 001; Xin Xu 002; Hao Chen 062; Feiran Huang (KDD, 2024)

Sub-Graph Based Diffusion Model for Link Prediction. - Hang Li 007; Wei Jin 009; Geri Skenderi; Harry Shomer; Wenzhuo Tang; Wenqi Fan; Jiliang Tang (LoG, 2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. - Jiabao Ji; Bairu Hou; Zhen Zhang; Guanhua Zhang; Wenqi Fan; Qing Li 001; Yang Zhang 001; Gaowen Liu; Sijia Liu 001; Shiyu Chang (NAACL (Short Papers), 2024)

Causal Behavior Pattern Inference for News Recommendation Through Multi-interest Matching. - Xingming Chen; Wenqi Fan; Qing Li 001 (WISE (3), 2024)

Large Language Models for Graph Learning. - Yujuan Ding; Wenqi Fan; Xiao Huang 001; Qing Li 001 (WWW (Companion Volume), 2024)

FashionReGen: LLM-Empowered Fashion Report Generation. - Yujuan Ding; Yunshan Ma; Wenqi Fan; Yige Yao; Tat-Seng Chua; Qing Li 001 (WWW (Companion Volume), 2024)

Interpretation-Empowered Neural Cleanse for Backdoor Attacks. - Liang-Bo Ning 001; Zeyu Dai 001; Jingran Su; Chao Pan; Luning Wang; Wenqi Fan; Qing Li 001 (WWW (Companion Volume), 2024)

Fast Graph Condensation with Structure-based Neural Tangent Kernel. - Lin Wang 040; Wenqi Fan; Jiatong Li 003; Yao Ma 001; Qing Li 001 (WWW, 2024)

Linear-Time Graph Neural Networks for Scalable Recommendations. - Jiahao Zhang; Rui Xue 006; Wenqi Fan; Xin Xu 002; Qing Li 001; Jian Pei 001; Xiaorui Liu (WWW, 2024)

GraphATC: advancing multilevel and multi-label anatomical therapeutic chemical classification via atom-level graph learning. - Wengyu Zhang; Qi Tian 001; Yi Cao; Wenqi Fan; Dongmei Jiang; Yaowei Wang 001; Qing Li 001; Xiao-Yong Wei (Briefings Bioinform., 2024)

BooleanOCT: Optimal Classification Trees based on multivariate Boolean Rules. - Jiancheng Tu; Wenqi Fan; Zhibin Wu (CoRR, 2024)

Rethinking Large Language Model Architectures for Sequential Recommendations. - Hanbing Wang; Xiaorui Liu; Wenqi Fan; Xiangyu Zhao 001; Venkataramana Kini; Devendra Yadav; Fei Wang; Zhen Wen; Jiliang Tang; Hui Liu 031 (CoRR, 2024)

Graph Unlearning with Efficient Partial Retraining. - Jiahao Zhang; Lin Wang 040; Shijie Wang 002; Wenqi Fan (CoRR, 2024)

Graph Machine Learning in the Era of Large Language Models (LLMs). - Wenqi Fan; Shijie Wang 002; Jiani Huang 001; Zhikai Chen; Yu Song; Wenzhuo Tang; Haitao Mao; Hui Liu 031; Xiaorui Liu; Dawei Yin; Qing Li 001 (CoRR, 2024)

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. - Yujuan Ding; Wenqi Fan; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li 001 (CoRR, 2024)

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation. - Haohao Qu; Wenqi Fan; Zihuai Zhao; Qing Li 001 (CoRR, 2024)

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. - Yuyan Liu; Sirui Ding; Sheng Zhou 004; Wenqi Fan; Qiaoyu Tan (CoRR, 2024)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeiyu Dai; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (CoRR, 2024)

Multi-Level Querying using A Knowledge Pyramid. - Rubing Chen; Xulu Zhang; Jiaxin Wu 001; Wenqi Fan; Xiao-Yong Wei; Qing Li 001 (CoRR, 2024)

A Survey of Mamba. - Haohao Qu; Liangbo Ning 001; Rui An; Wenqi Fan; Tyler Derr; Hui Liu 031; Xin Xu 002; Qing Li 001 (CoRR, 2024)

Joint Universal Adversarial Perturbations with Interpretations. - Liang-Bo Ning 001; Zeyu Dai 001; Wenqi Fan; Jingran Su; Chao Pan; Luning Wang; Qing Li 001 (CoRR, 2024)

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models. - Lionel Z. Wang; Yiming Ma; Renfei Gao; Beichen Guo; Zhuoran Li; Han Zhu; Wenqi Fan; Zexin Lu; Ka Chung Ng (CoRR, 2024)

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation. - Haohao Qu; Yifeng Zhang 007; Liangbo Ning 001; Wenqi Fan; Qing Li 001 (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)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Xiangyu Zhao 001; Chi Zhang 060; Jingtong Gao; Wanyu Wang; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (CoRR, 2024)

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts. - Jiatong Li 003; Yunqing Liu; Wei Liu 123; Jingdi Lei; Di Zhang; Wenqi Fan; Dongzhan Zhou; Yuqiang Li; Qing Li 001 (CoRR, 2024)

One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs. - Jingzhe Liu; Haitao Mao; Zhikai Chen; Wenqi Fan; Mingxuan Ju; Tong Zhao 003; Neil Shah; Jiliang Tang (CoRR, 2024)

Score-based Generative Diffusion Models for Social Recommendations. - Chengyi Liu; Jiahao Zhang; Shijie Wang 002; Wenqi Fan; Qing Li 001 (CoRR, 2024)

Adaptive Self-supervised Learning for Social Recommendations. - Xin He 003; Shanru Lin; Wenqi Fan; Mingchen Sun; Ying Wang 009; Xin Wang 035 (CoRR, 2024)

ChartAdapter: Large Vision-Language Model for Chart Summarization. - Peixin Xu; Yujuan Ding; Wenqi Fan (CoRR, 2024)

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. - Yuni Lai; Yulin Zhu; Wenqi Fan; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

A Comprehensive Survey on Automated Machine Learning for Recommendations. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (Trans. Recomm. Syst., 2024)

Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective. - Jiatong Li 003; Yunqing Liu; Wenqi Fan; Xiao-Yong Wei; Hui Liu 031; Jiliang Tang; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Recommender Systems in the Era of Large Language Models (LLMs). - Zihuai Zhao; Wenqi Fan; Jiatong Li 003; Yunqing Liu; Xiaowei Mei; Yiqi Wang 001; Zhen Wen; Fei Wang; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. - Yingqian Cui; Jie Ren 019; Yuping Lin; Han Xu 002; Pengfei He; Yue Xing 002; Lingjuan Lyu; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2024)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. - Shijie Wang 002; Wenqi Fan; Yue Feng 002; Shanru Lin; Xinyu Ma; Shuaiqiang Wang; Dawei Yin (ACL (1), 2025)

C2KD: Cross-layer and Cross-head Knowledge Distillation for Small Language Model-based Recommendation. - Xiao Chen 016; Changyi Ma; Wenqi Fan; Zhaoxiang Zhang 001; Qing Li 001 (ACL (Findings), 2025)

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education. - Yanhao Jia; Xinyi Wu; Li Hao; Qinglin Zhang; Yuxiao Hu; Shuai Zhao 007; Wenqi Fan (ACL (1), 2025)

Towards Retrieval-Augmented Large Language Models: Data Management and System Design. - Wenqi Fan; Pangjing Wu; Yujuan Ding; Liang-Bo Ning 001; Shijie Wang 002; Qing Li 001 (ICDE, 2025)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (ICDE, 2025)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeyu Dai 001; Kun Wang 056; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (ICDE, 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)

Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (WWW (Companion Volume), 2025)

Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias. - Xin He 003; Wenqi Fan; Ruobing Wang 003; Yili Wang 004; Ying Wang 009; Shirui Pan; Xin Wang 035 (Neural Networks, 2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. - Shijie Wang 002; Wenqi Fan; Yue Feng 002; Xinyu Ma; Shuaiqiang Wang; Dawei Yin (CoRR, 2025)

Computational Protein Science in the Era of Large Language Models (LLMs). - Wenqi Fan; Yi Zhou; Shijie Wang 002; Yuyao Yan; Hui Liu 031; Qian Zhao; Le Song; Qing Li 001 (CoRR, 2025)

Graph Defense Diffusion Model. - Xin He 003; Wenqi Fan; Yili Wang 004; Chengyi Liu; Rui Miao 003; Xin Juan; Xin Wang 035 (CoRR, 2025)

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. - Xin He 003; Yili Wang 004; Wenqi Fan; Xu Shen 002; Xin Juan; Rui Miao 003; Xin Wang 035 (CoRR, 2025)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Multi-Agent Attacks for Black-Box Social Recommendations. - Shijie Wang 002; Wenqi Fan; Xiao-Yong Wei; Xiaowei Mei; Shanru Lin; Qing Li 001 (ACM Trans. Inf. Syst., 2025)

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education. - Yanhao Jia; Xinyi Wu; Hao Li; Qinglin Zhang; Yuxiao Hu; Shuai Zhao 007; Wenqi Fan (CoRR, 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. - Bo Ni; Zheyuan Liu 010; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng 001; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation. - Yuxiang Wang; Xinnan Dai; Wenqi Fan; Yao Ma 001 (CoRR, 2025)

Introduction for the Special Issue on Trustworthy Artificial Intelligence. - Wenqi Fan; Shu Zhao; Jiliang Tang (ACM Trans. Knowl. Discov. Data, 2025)

Towards Graph Foundation Models: A Transferability Perspective. - Yuxiang Wang; Wenqi Fan; Suhang Wang; Yao Ma 001 (CoRR, 2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. - Jiani Huang 001; Shijie Wang 002; Liang-Bo Ning 001; Wenqi Fan; Shuaiqiang Wang; Dawei Yin; Qing Li 001 (CoRR, 2025)

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. - Liangbo Ning 001; Ziran Liang; Zhuohang Jiang; Haohao Qu; Yujuan Ding; Wenqi Fan; Xiaoyong Wei; Shanru Lin; Hui Liu 031; Philip S. Yu; Qing Li 001 (CoRR, 2025)

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation. - Liangbo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 2025)

Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations. - Zihuai Zhao; Wenqi Fan; Yao Wu; Qing Li 001 (CoRR, 2025)

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations. - Liangbo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 2025)

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models. - Zeyu Dai 001; Shengcai Liu; Rui He; Jiahao Wu 004; Ning Lu 006; Wenqi Fan; Qing Li 001; Ke Tang 001 (CoRR, 2025)

Generative Recommendation with Continuous-Token Diffusion. - Haohao Qu; Wenqi Fan; Shanru Lin (CoRR, 2025)

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network. - Ziran Liang; Rui An; Wenqi Fan; Yanghui Rao; Yuxuan Liang (CoRR, 2025)

GLProtein: Global-and-Local Structure Aware Protein Representation Learning. - Yunqing Liu; Wenqi Fan; Xiaoyong Wei; Qing Li 001 (CoRR, 2025)

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction. - Rui An; Yifeng Zhang 007; Ziran Liang; Wenqi Fan; Yuxuan Liang; Xuequn Shang 001; Qing Li 001 (CoRR, 2025)

Dual Test-Time Training for Out-of-Distribution Recommender System. - Xihong Yang; Yiqi Wang 001; Jin Chen 008; Wenqi Fan; Xiangyu Zhao 001; En Zhu; Xinwang Liu 002; Defu Lian (IEEE Trans. Knowl. Data Eng., 2025)

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling. - Xiaotong Luo; Shengda Zhuo; Min Chen 003; Lichun Li; Ruizhao Lu; Wenqi Fan; Shuqiang Huang; Yin Tang (CoRR, 2025)

Large Language Models are in-Context Molecule Learners. - Jiatong Li 003; Wei Liu 123; Zhihao Ding; Wenqi Fan; Yuqiang Li; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

QA-Dragon: Query-Aware Dynamic RAG System for Knowledge-Intensive Visual Question Answering. - Zhuohang Jiang; Pangjing Wu; Xu Yuan; Wenqi Fan; Qing Li 001 (CoRR, 2025)

mKG-RAG: Multimodal Knowledge Graph-Enhanced RAG for Visual Question Answering. - Xu Yuan; Liang-Bo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 2025)

Rethinking Domain-Specific LLM Benchmark Construction: A Comprehensiveness-Compactness Approach. - Rubing Chen; Jiaxin Wu 001; Jian Wang 054; Xulu Zhang; Wenqi Fan; Chenghua Lin; Xiao-Yong Wei; Qing Li 001 (CoRR, 2025)