Jiancan Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
13
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Delayed Feedback Modeling with Influence Functions. | Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich |
| 2026 | ACL | SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs. | Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Lintao Ma, Xingyu Lu, Jun Zhou, Pengfei Liu, Jiancan Wu, Xiang Wang |
| 2026 | DASFAA | DynamicPO: Dynamic Preference Optimization for Recommendation. | Xingyu Hu, Kai Zhang, Jiancan Wu, Shuli Wang, Chi Wang, Wenshuai Chen, Yinhua Zhu, Haitao Wang, Xingxing Wang, Xiang Wang |
| 2026 | WWW | Task-Aligned Unlearning for Multimodal Large Language Models. | Tianyu Zhang, Chenlu Ding, Junfeng Fang, Jiancan Wu, Xiang Wang |
| 2025 | ACL | Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning. | Zijian Shao, Jiancan Wu, Weijian Chen, Xiang Wang |
| 2025 | ACL | Robust Preference Optimization via Dynamic Target Margins. | Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang |
| 2025 | CIKM | Towards Large Generative Recommendation: A Tokenization Perspective. | Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley |
| 2025 | EMNLP | LaMP-Val: Large Language Models Empower Personalized Valuation in Auction. | Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang |
| 2025 | ICLR | Unified Parameter-Efficient Unlearning for LLMs. | Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He |
| 2025 | ICLR | Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. | Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He |
| 2025 | ICML | Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? | Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang |
| 2025 | ICML | AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. | Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He |
| 2025 | RecSys | LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems. | Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke |
| 2025 | SIGIR | Addressing Missing Data Issue for Diffusion-based Recommendation. | Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He |
| 2024 | ACL | MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. | Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou |
| 2024 | ICDE | Masked Graph Modeling with Multi- View Contrast. | Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang |
| 2024 | ICDE | BSL: Understanding and Improving Softmax Loss for Recommendation. | Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang |
| 2024 | SIGIR | LLaRA: Large Language-Recommendation Assistant. | Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He |
| 2024 | SIGIR | Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. | Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He |
| 2024 | SIGIR | Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. | Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke |
| 2024 | WSDM | Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. | Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong |
| 2023 | WWW | Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. | Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He |
| 2023 | WWW | GIF: A General Graph Unlearning Strategy via Influence Function. | Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He |
| 2023 | SIGIR | A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. | Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang |
| 2022 | KDD | Causal Attention for Interpretable and Generalizable Graph Classification. | Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua |
| 2022 | WWW | Cross Pairwise Ranking for Unbiased Item Recommendation. | Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang |
| 2021 | SIGIR | Self-supervised Graph Learning for Recommendation. | Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie |