|
Wenqi Fan - Publications
Recent Preprints
Haohao Qu, Yifeng Zhang, Liangbo Ning, Wenqi Fan, Qing Li
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
arXiv:2409.01192, 2024. [ArXiv]
Haohao Qu, Yifeng Zhang, Liangbo Ning, Wenqi Fan, Qing Li
Joint Universal Adversarial Perturbations with Interpretations
arXiv:2408.01715, 2024. [ArXiv]
Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Xin Xu, Qing Li
A Survey of Mamba
arXiv:2408.01129, 2024. [ArXiv] [PDF]
Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
arXiv:2406.10450, 2024. [ArXiv] [PDF]
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
Graph Machine Learning in the Era of Large Language Models (LLMs)
arXiv:2404.14928, 2024. [ArXiv] [PDF]
Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
Rethinking Large Language Model Architectures for Sequential Recommendations
arXiv:2402.09543, 2024. [ArXiv] [PDF]
Wenzhuo Tang, Renming Liu, Hongzhi Wen, Xinnan Dai, Jiayuan Ding, Hang Li, Wenqi Fan, Yuying Xie, Jiliang Tang
A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
bioRxiv, 2023. [bioRxiv]
Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
arXiv:2310.02401, 2023. [ArXiv]
Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation
arXiv:2310.09874, 2023. [ArXiv]
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
A Comprehensive Survey on Trustworthy Recommender Systems
arXiv: 2209.10117, 2022. [ArXiv] [PDF]
Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, and Jiliang Tang
Defense Against Gradient Leakage Attacks via Learning to Obscure Data
arXiv: 2206.00769, 2022.
[ArXiv]
Selected Conference and Journal Publications [Google Scholar]
Shijie Wang, Wenqi Fan, Xiao-yong Wei, Xiaowei Mei, Shanru Lin, Qing Li
Multi-agent Attacks for Black-box Social Recommendations
In ACM Transactions on Information Systems (ACM TOIS), 2024.
arXiv:2311.07127, 2024. [ArXiv]
Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, and Qing Li
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models
In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), 2024.
arXiv:2405.06211, 2024. [ArXiv] [Tutorial&Slides]
Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, and Qing Li
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE 2024), 2024.
arXiv:2306.06615, 2024. [ArXiv] [PDF] [Code] [中文Chinese]
Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
In International Joint Conference on Artificial Intelligence (IJCAI 2024).
arXiv:2402.03358, 2024. [ArXiv] [PDF]
Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, and Qing Li
Recommender Systems in the Era of Large Language Models (LLMs)
In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE 2024), 2024.
[ArXiv] [PDF] [Website]
[Slides]
Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li
FashionReGen: LLM-Empowered Fashion Report Generation
In The Web Conference (WWW 2024 Demo), 2024.
[ArXiv]
Liang-bo Ning, Zeyu Dai, Jingran Su, Chao Pan, Luning Wang, Wenqi Fan, Qing Li
Interpretation-Empowered Neural Cleanse for Backdoor Attacks
In The Web Conference (WWW 2024 Short Paper), 2024.
[ArXiv]
Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
Fast Graph Condensation with Structure-based Neural Tangent Kernel
In The Web Conference (WWW 2024), 2024.
[ArXiv] [PDF] [Code]
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations
In The Web Conference (WWW 2024), 2024.
[ArXiv] [PDF] [Code]
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
In ACM SIGKDD Explorations Newsletter, 2024. [ArXiv] [PDF]
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: A Data Perspective
In International Conference on Learning Representations (ICLR 2024), 2024.
[ArXiv]
Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, and Jiliang Tang
Adversarial Attacks for Black-box Recommender Systems via Copying Transferable Cross-domain User Profiles
In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE 2023), 2023.
[PDF]
Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
Generative Diffusion Models on Graphs: Methods and Applications
In International Joint Conference on Artificial Intelligence (IJCAI 2023). arXiv: 2302.02591, 2023.
[ArXiv] [PDF] [中文Chinese] [GitHub]
Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Qing Li, and Zhaoxiang Zhang
Fairly Adaptive Negative Sampling for Recommendations
In The Web Conference (WWW 2023), 2023.
[PDF]
Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, and Charu Aggarwal
Jointly Attacking Graph Neural Network and its Explanations
In Proceedings of 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023.
[ArXiv] [Slides]
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, and Ruiming Tang
A Comprehensive Survey on Automated Machine Learning for Recommendations
In ACM Transactions on Recommender Systems, 2023.
[ArXiv] [PDF]
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
Fairness Reprogramming
In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022.
[PDF] [Code]
Yi Cao, Zhen-Qun Yang, Xu-Lu Zhang, Wenqi Fan, Yaowei Wang, Jiajun Shen, Dong-Qing Wei, Qing Li, Xiao-Yong Wei
Identifying The Kind Behind SMILES - Anatomical Therapeutic Chemical Classification using Structure-Only Representations
In Briefings in Bioinformatics (BIB), 2022. (Impact Factor: 13.994)
[PDF] [Code]
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, and Ke Tang
Disentangled Contrastive Learning for Social Recommendation
In ACM International on Conference on Information and Knowledge Management (CIKM 2022), 2022.
[PDF]
Jingfan Chen (incoming PhD student), Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, and Yihua Huang
Knowledge-enhanced Black-box Attacks for Recommendations
In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), 2022.
[PDF] [Slides]
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, and Jiliang Tang
Trustworthy AI: A Computational Perspective
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022.
[ArXiv]
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, and Qing Li
Graph Trend Filtering Networks for Recommendation
45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022).
[PDF] [Slides] [Code-Pytorch]
Xiangyu Zhao, Wenqi Fan*, Hui Liu, and Jiliang Tang
Multi-type Urban Crime Prediction
36th AAAI Conference on Artificial Intelligence (AAAI 2022).
[PDF] (* Corresponding author.)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, and Xiwang Yang
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
IEEE 21st International Conference on Data Mining (ICDM 2021), best-ranked papers.
[PDF]
Xiangyu Zhao, Haochen Liu, Wenqi Fan*, Hui Liu, Jiliang Tang, and Chong Wang
AutoLoss: Automated Loss Function Search in Recommendations
In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), 2021.
[ArXiv] [Slides] (* Corresponding author.)
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, and Qing Li
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
In Proceedings of 37th IEEE International Conference on Data Engineering (ICDE 2021, Full paper)
[ArXiv] [Slides]
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, and Jiliang Tang
Does Gender Matter? Towards Fairness in Dialogue Systems
In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), 2020.
[ArXiv]
Wenqi Fan, Yao Ma , Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, and Dawei Yin
A Graph Neural Network Framework for Social Recommendations
In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE 2020), 2020.
[PDF]
Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, and Jiliang Tang
Deep Adversarial Canonical Correlation Analysis
In Proceedings of the 2020 SIAM International Conference on Data Mining (SDM 2020), 2020.
[PDF]
Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, and Jiliang Tang
Global-and-Local Aware Data Generation for the Class Imbalance Problem
In Proceedings of the 2020 SIAM International Conference on Data Mining (SDM 2020), 2020.
[PDF]
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu Aggarwal, and Jiliang Tang
Epidemic Graph Convolutional Network
In Proceedings of the 13th ACM Conference on Web Search and Data Mining (WSDM 2020), 2020.
[PDF]
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, and Qing Li.
Deep Social Collaborative Filtering
In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019. (Long Paper, Acceptance rate: 19%.)
[ArXiv]
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, and Qing Li
Deep Adversarial Social Recommendation
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019.
[ArXiv] [Slides] [Code]
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, and Dawei Yin
Graph Neural Networks for Social Recommendation
In Proceedings of the 28th International Conference on World Wide Web (WWW 2019), 2019. (Full, Oral, Acceptance rate: 18%.)
[ArXiv] [Code-Pytorch] [Slides]
Wenqi Fan, Qing Li, and Min Cheng
Deep Modeling of Social Relations for Recommendation
In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), 2018.
[PDF]
|