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Jiancan Wu
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2020 – today
- 2024
- [j6]Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He:
How graph convolutions amplify popularity bias for recommendation? Frontiers Comput. Sci. 18(5): 185603 (2024) - [j5]Meishan Liu
, Meng Jian
Graph Contrastive Learning With Negative Propagation for Recommendation. IEEE Trans. Comput. Soc. Syst. 11(3): 4255-4266 (2024) - [j4]Yongduo Sui
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18(5): 127:1-127:24 (2024) - [j3]Weizhi Nie
Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. IEEE Trans. Multim. 26: 1129-1142 (2024) - [j2]Jiancan Wu
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. ACM Trans. Inf. Syst. 42(4): 98:1-98:26 (2024) - [c16]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) 2024: 10230-10258 - [c15]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang:
BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE 2024: 816-830 - [c14]Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang:
Masked Graph Modeling with Multi- View Contrast. ICDE 2024: 2584-2597 - [c13]Zihao Zhao
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. SIGIR 2024: 533-542 - [c12]Jiayi Liao
LLaRA: Large Language-Recommendation Assistant. SIGIR 2024: 1785-1795 - [c11]Yuyue Zhao
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR 2024: 1796-1806 - [c10]Shuyao Wang
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. WSDM 2024: 740-749 - [i27]Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong:
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. CoRR abs/2402.02855 (2024) - [i26]Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He:
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. CoRR abs/2403.17745 (2024) - [i25]Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke:
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR abs/2405.15114 (2024) - [i24]Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR abs/2407.07880 (2024) - [i23]Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
β-DPO: Direct Preference Optimization with Dynamic β. CoRR abs/2407.08639 (2024) - [i22]Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He:
Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR abs/2407.17115 (2024) - [i21]Chen-Lu Ding, Jiancan Wu, Wei Lin, Shiyang Shen, Xiang Wang, Yancheng Yuan:
Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. CoRR abs/2407.20119 (2024) - [i20]Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang:
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR abs/2408.01697 (2024) - [i19]Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He:
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. CoRR abs/2408.10159 (2024) - [i18]Yanchen Luo, Junfeng Fang, Sihang Li, Zhiyuan Liu, Jiancan Wu, An Zhang, Wenjie Du, Xiang Wang:
Text-guided Diffusion Model for 3D Molecule Generation. CoRR abs/2410.03803 (2024) - 2023
- [c9]Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He:
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS 2023 - [c8]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He:
Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS 2023 - [c7]Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He:
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NeurIPS 2023 - [c6]Zhengyi Yang
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR 2023: 331-340 - [c5]Jiancan Wu
GIF: A General Graph Unlearning Strategy via Influence Function. WWW 2023: 651-661 - [c4]Jiawei Chen
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW 2023: 1085-1096 - [i17]Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He:
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR abs/2302.04775 (2023) - [i16]Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He:
GIF: A General Graph Unlearning Strategy via Influence Function. CoRR abs/2304.02835 (2023) - [i15]Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He:
How Graph Convolutions Amplify Popularity Bias for Recommendation? CoRR abs/2305.14886 (2023) - [i14]Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He:
Recommendation Unlearning via Influence Function. CoRR abs/2307.02147 (2023) - [i13]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR abs/2310.05506 (2023) - [i12]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He:
Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR abs/2310.11048 (2023) - [i11]Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang:
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR abs/2310.16566 (2023) - [i10]Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He:
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. CoRR abs/2310.20453 (2023) - [i9]Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He:
Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR abs/2310.20487 (2023) - [i8]Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang:
LLaRA: Aligning Large Language Models with Sequential Recommenders. CoRR abs/2312.02445 (2023) - [i7]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang:
BSL: Understanding and Improving Softmax Loss for Recommendation. CoRR abs/2312.12882 (2023) - 2022
- [j1]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie:
Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. 16(6): 166614 (2022) - [c3]Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua:
Causal Attention for Interpretable and Generalizable Graph Classification. KDD 2022: 1696-1705 - [c2]Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
Cross Pairwise Ranking for Unbiased Item Recommendation. WWW 2022: 2370-2378 - [i6]Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, Xiangnan He:
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. CoRR abs/2201.02327 (2022) - [i5]Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
Cross Pairwise Ranking for Unbiased Item Recommendation. CoRR abs/2204.12176 (2022) - [i4]Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He:
Adversarial Causal Augmentation for Graph Covariate Shift. CoRR abs/2211.02843 (2022) - 2021
- [c1]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [i3]Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Deconfounded Training for Graph Neural Networks. CoRR abs/2112.15089 (2021) - 2020
- [i2]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen
Graph Convolution Machine for Context-aware Recommender System. CoRR abs/2001.11402 (2020) - [i1]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. CoRR abs/2010.10783 (2020)
Coauthor Index
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