Wenqi Fan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
22
Active years
2018–2026
Best venue rank
A*
Where they publish
- A*WWW12 papers
- A*ACL9 papers
- A*KDD7 papers
- A*ICDE6 papers
- A*SIGIR4 papers
- AWSDM4 papers
- A*IJCAI4 papers
- BPAKDD2 papers
- A*EMNLP2 papers
- A*ICLR2 papers
- ARecSys2 papers
- A*AAAI2 papers
- ASDM2 papers
- BDASFAA1 paper
- BIJCNLP1 paper
- ANAACL1 paper
- BWISE1 paper
- ACIKM1 paper
- A*ICDM1 paper
- BCOLING1 paper
- BICONIP1 paper
- CIGARSS1 paper
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CADMate: Generating CAD Assembly Plan with Geometric Chain-of-Thought and Spatial Physical Rewards. | Jiali Chen, DingBa Fu, Xusen Hei, Yuhang Liu, Yiyang Chen, Jiayuan Xie, Wenqi Fan, Yi Cai |
| 2026 | ACL | ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning. | Jiani Huang, Shijie Wang, Liang-Bo Ning, Wenqi Fan, Qing Li |
| 2026 | ACL | When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents. | Liang-Bo Ning, Yuchen Zhu, Heqing Huang, Xin Wang, Yi Chang, Qing Li, Wenqi Fan |
| 2026 | ACL | Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation. | Yuxiang Wang, Xinnan Dai, Wenqi Fan, Yao Ma |
| 2026 | ACL | Datamart-Agent: LLM-Driven Game-Theoretic Agent for Data Marketplace Modeling. | Pangjing Wu, Peter Q. Chen, Xiaodong Li, Wenqi Fan, Qing Li |
| 2026 | DASFAA | Consensus-on-Graph: Plan-Driven Exploration and Consensus Decision-Making on Knowledge Graphs. | Chengye Hu, Buchao Zhan, Li Yuan, Wenqi Fan, Shankai Yan |
| 2026 | ICDE | Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction. | Rui An, Yifeng Zhang, Ziran Liang, Wenqi Fan, Yuxuan Liang, Xuequn Shang, Qing Li |
| 2026 | KDD | Graph Defense Diffusion Model. | Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang |
| 2026 | PAKDD | PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong. | Richard Wai Cheung Chan, Shanru Lin, Ya-Nan Ma, Hao Chen, Liangjun Jiang, Wenqi Fan |
| 2026 | PAKDD | Joint Universal Adversarial Perturbations with Interpretations. | Liang-Bo Ning, Zeyu Dai, Wenqi Fan, Jingran Su, Chao Pan, Luning Wang, Qing Li |
| 2026 | WWW | Inference Cost Attacks for Retrieval-Augmented Large Language Models. | Chengliang Liu, Liangbo Ning, Yujuan Ding, Wenqi Fan |
| 2026 | WWW | Diffusion Generative Recommendation with Continuous Tokens. | Haohao Qu, Shanru Lin, Yujuan Ding, Yiqi Wang, Wenqi Fan |
| 2026 | SIGIR | Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Recommendation. | Yao Wu, Chengyi Liu, Wenqi Fan, Rui Zhang |
| 2026 | SIGIR | mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA. | Xu Yuan, Liangbo Ning, Qingqing Ye, Wenqi Fan, Qing Li |
| 2026 | WSDM | Continuous-time Discrete-space Diffusion Model for Recommendation. | Chengyi Liu, Xiao Chen, Shijie Wang, Wenqi Fan, Qing Li |
| 2026 | WSDM | Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. | Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li |
| 2025 | ACL | Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. | Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin |
| 2025 | ACL | C2KD: Cross-layer and Cross-head Knowledge Distillation for Small Language Model-based Recommendation. | Xiao Chen, Changyi Ma, Wenqi Fan, Zhaoxiang Zhang, Qing Li |
| 2025 | ACL | Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education. | Yanhao Jia, Xinyi Wu, Li Hao, Qinglin Zhang, Yuxiao Hu, Shuai Zhao, Wenqi Fan |
| 2025 | EMNLP | Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond. | Rubing Chen, Jiaxin Wu, Jian Wang, Xulu Zhang, Wenqi Fan, Chenghua Lin, Xiaoyong Wei, Li Qing |
| 2025 | EMNLP | GLProtein: Global-and-Local Structure Aware Protein Representation Learning. | Yunqing Liu, Wenqi Fan, Xiaoyong Wei, Li Qing |
| 2025 | ICDE | Towards Retrieval-Augmented Large Language Models: Data Management and System Design. | Wenqi Fan, Pangjing Wu, Yujuan Ding, Liang-Bo Ning, Shijie Wang, Qing Li |
| 2025 | ICDE | Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). | Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang |
| 2025 | ICDE | Backdoor Graph Condensation. | Jiahao Wu, Ning Lu, Zeyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang |
| 2025 | ICLR | 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, Jiliang Tang, Caihua Shan |
| 2025 | IJCAI | Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. | Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang |
| 2025 | IJCNLP | Rethinking Large Language Model Architectures for Sequential Recommendations. | Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Pratap Yadav, Fei Wang, Zhen Wen, Hui Liu |
| 2025 | KDD | A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. | Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li |
| 2025 | WWW | Leveraging ChatGPT 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 |
| 2024 | ACL | LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. | Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin |
| 2024 | ICLR | Revisiting Link Prediction: a data perspective. | Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang |
| 2024 | IJCAI | A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. | Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin |
| 2024 | KDD | A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. | Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li |
| 2024 | KDD | CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. | Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang |
| 2024 | NAACL | Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. | Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang |
| 2024 | WWW | Large Language Models for Graph Learning. | Yujuan Ding, Wenqi Fan, Xiao Huang, Qing Li |
| 2024 | WWW | FashionReGen: LLM-Empowered Fashion Report Generation. | Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li |
| 2024 | WWW | Interpretation-Empowered Neural Cleanse for Backdoor Attacks. | Liang-Bo Ning, Zeyu Dai, Jingran Su, Chao Pan, Luning Wang, Wenqi Fan, Qing Li |
| 2024 | WWW | Fast Graph Condensation with Structure-based Neural Tangent Kernel. | Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li |
| 2024 | WWW | Linear-Time Graph Neural Networks for Scalable Recommendations. | Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu |
| 2024 | WISE | Causal Behavior Pattern Inference for News Recommendation Through Multi-interest Matching. | Xingming Chen, Wenqi Fan, Qing Li |
| 2023 | ICDE | 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 |
| 2023 | IJCAI | Generative Diffusion Models on Graphs: Methods and Applications. | Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li |
| 2023 | KDD | Trustworthy Recommender Systems: Foundations and Frontiers. | Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang |
| 2023 | RecSys | STRec: Sparse Transformer for Sequential Recommendations. | Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li |
| 2023 | WWW | Fairly Adaptive Negative Sampling for Recommendations. | Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li |
| 2023 | WWW | 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 Espn-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 Kk-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 R. 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 |
| 2023 | SIGIR | 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 |
| 2023 | WSDM | AutoML for Deep Recommender Systems: Fundamentals and Advances. | Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao |
| 2022 | AAAI | Multi-Type Urban Crime Prediction. | Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang |
| 2022 | CIKM | Disentangled Contrastive Learning for Social Recommendation. | Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang |
| 2022 | KDD | Knowledge-enhanced Black-box Attacks for Recommendations. | Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang |
| 2022 | WWW | 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 Lyu, 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 |
| 2022 | SIGIR | Graph Trend Filtering Networks for Recommendation. | Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li |
| 2021 | ICDE | 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 |
| 2021 | ICDM | 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 |
| 2021 | KDD | AutoLoss: Automated Loss Function Search in Recommendations. | Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang |
| 2020 | COLING | Does Gender Matter? Towards Fairness in Dialogue Systems. | Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | ICONIP | Improving Social Recommendations with Item Relationships. | Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao |
| 2020 | WSDM | Epidemic Graph Convolutional Network. | Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang |
| 2020 | SDM | Deep Adversarial Canonical Correlation Analysis. | Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang |
| 2020 | SDM | Global-and-Local Aware Data Generation for the Class Imbalance Problem. | Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang |
| 2019 | IGARSS | Correlation Alignment Based On Sparse Matrix Transform for Unsupervised Domain Adaptation in Hyperspectral Image Classification. | Tianhui Wei, Wenqi Fan, Jiangtao Peng, Weiwei Sun |
| 2019 | IJCAI | Deep Adversarial Social Recommendation. | Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li |
| 2019 | RecSys | Deep social collaborative filtering. | Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li |
| 2019 | WWW | Graph Neural Networks for Social Recommendation. | Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin |
| 2018 | AAAI | Deep Modeling of Social Relations for Recommendation. | Wenqi Fan, Qing Li, Min Cheng |