Wenqi Fan

According to our database, Wenqi Fan authored at least 63 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.

Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou

IEEE Trans. Inf. Forensics Secur., 2024

Graph Unlearning with Efficient Partial Retraining.

Jiahao Zhang, Lin Wang, Shijie Wang, Wenqi Fan

CoRR, 2024

FashionReGen: LLM-Empowered Fashion Report Generation.

Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li

CoRR, 2024

Large Language Models are In-Context Molecule Learners.

Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan, Yuqiang Li, Qing Li

CoRR, 2024

Linear-Time Graph Neural Networks for Scalable Recommendations.

Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu

CoRR, 2024

Rethinking Large Language Model Architectures for Sequential Recommendations.

Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu

CoRR, 2024

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin

CoRR, 2024

BooleanOCT: Optimal Classification Trees based on multivariate Boolean Rules.

Jiancheng Tu, Wenqi Fan, Zhibin Wu

CoRR, 2024

2023

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.

Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang

IEEE Trans. Knowl. Data Eng., December, 2023

M-Denoiser: Unsupervised image denoising for real-world optical and electron microscopy data.

Xiaoya Chong, Min Cheng, Wenqi Fan, Qing Li, Howard Leung

Comput. Biol. Medicine, September, 2023

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

ACM Trans. Intell. Syst. Technol., February, 2023

Untargeted Black-box Attacks for Social Recommendations.

Wenqi Fan, Shijie Wang, Xiaoyong Wei, Xiaowei Mei, Qing Li

CoRR, 2023

Fast Graph Condensation with Structure-based Neural Tangent Kernel.

Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li

CoRR, 2023

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang

CoRR, 2023

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang

CoRR, 2023

Dataset Condensation for Recommendation.

Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang

CoRR, 2023

Revisiting Link Prediction: A Data Perspective.

Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

CoRR, 2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling.

Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang

CoRR, 2023

Certified Robustness for Large Language Models with Self-Denoising.

Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang

CoRR, 2023

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs.

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

CoRR, 2023

Recommender Systems in the Era of Large Language Models (LLMs).

Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li

CoRR, 2023

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective.

Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Fairly Adaptive Negative Sampling for Recommendations.

Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li

Proceedings of the ACM Web Conference 2023, 2023

AutoML for Deep Recommender Systems: Fundamentals and Advances.

Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.

Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

STRec: Sparse Transformer for Sequential Recommendations.

Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.

Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Diffusion Models on Graphs: Methods and Applications.

Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Jointly Attacking Graph Neural Network and its Explanations.

Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

A Graph Neural Network Framework for Social Recommendations.

Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin

IEEE Trans. Knowl. Data Eng., 2022

Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation.

Hao Xu, Bo Yang, Xiangkun Liu, Wenqi Fan, Qing Li

Knowl. Based Syst., 2022

Dual constraints and adversarial learning for fair recommenders.

Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan

Knowl. Based Syst., 2022

A Comprehensive Survey on Trustworthy Recommender Systems.

Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li

CoRR, 2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data.

Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang

CoRR, 2022

Automated Machine Learning for Deep Recommender Systems: A Survey.

Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang

CoRR, 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, Jiajun Shen, Dong-Qing Wei, Qing Li, Xiao-Yong Wei

Briefings Bioinform., 2022

Self-supervised learning for fair recommender systems.

Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang

Appl. Soft Comput., 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Graph Trend Filtering Networks for Recommendation.

Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Fairness Reprogramming.

Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge-enhanced Black-box Attacks for Recommendations.

Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Disentangled Contrastive Learning for Social Recommendation.

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Type Urban Crime Prediction.

Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph Trend Networks for Recommendations.

Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li

CoRR, 2021

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang

CoRR, 2021

AutoLoss: Automated Loss Function Search in Recommendations.

Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang

Proceedings of the IEEE International Conference on Data Mining, 2021

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.

Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

The diffusion of intelligent manufacturing applications based SIR model.

Lei Wang, Mengwei Wu, Xueqi Xu, Wenqi Fan

J. Intell. Fuzzy Syst., 2020

Epidemic Graph Convolutional Network.

Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Global-and-Local Aware Data Generation for the Class Imbalance Problem.

Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Deep Adversarial Canonical Correlation Analysis.

Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Improving Social Recommendations with Item Relationships.

Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Does Gender Matter? Towards Fairness in Dialogue Systems.

Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Graph Neural Networks for Social Recommendation.

Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin

Proceedings of the World Wide Web Conference, 2019

Deep social collaborative filtering.

Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Ideal Regularized Kernel Subspace Alignment for Unsupervised Domain Adaptation in Hyperspectral Image Classification.

Wenqi Fan, Tianhui Wei, Jiangtao Peng, Weiwei Sun

Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

Deep Adversarial Social Recommendation.

Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Correlation Alignment Based On Sparse Matrix Transform for Unsupervised Domain Adaptation in Hyperspectral Image Classification.

Tianhui Wei, Wenqi Fan, Jiangtao Peng, Weiwei Sun

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Deep Modeling of Social Relations for Recommendation.

Wenqi Fan, Qing Li, Min Cheng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

SDenPeak: Semi-supervised Nonlinear Clustering Based on Density and Distance.

Wen-Qi Fan, Chang-Dong Wang, Jian-Huang Lai

Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

2015

HDenDist: Nonlinear Hierarchical Clustering Based on Density and Min-distance.

Wen-Qi Fan, Chang-Dong Wang, Yuan-Wei Chen, Jian-Huang Lai

Proceedings of the Fifth IEEE International Conference on Big Data and Cloud Computing, 2015