News
26 March 2024
Three papers are accepted by SIGIR 2024 on LLM-based recommendation and medication recommendation.
1 Dec 2023
Two papers are accepted by ICDE 2024 on graph contrastive learinng and softmax loss for recommendation.
27 Nov 2023
One paper on sampled softmax loss for recommendation is accepted by ACM TOIS.
20 Oct 2023
One paper is accepted by WSDM on efficient recommendation.
22 Sep 2023
Three papers are accepted by NeurIPS on generative recsys, ood generalization, DRO4Rec.
6 April 2023
One paper is accepted by SIGIR 2023 on recsys.
26 Jan 2023
Two papers are accepted by WWW on graph unlearning, and recsys.
19 May 2022
One papers is accepted by KDD on causal learning for graph neural net.
15 Jan 2022
One papers is accepted by WWW on biases in recsys.
14 Apr 2021
One full paper is accepted by SIGIR 2021, about Self-supervised Graph Learning for Recommendation.
|
Jiancan Wu
Lab for Data Science
443 Huangshan Road, Hefei, China 230027
Email: wujcan AT gmail.com
|
Jiancan Wu is now a postdoc in LDS, Department of Electronic Engineering and Information Science(6系), University of Science and Technology of China.
His research interests include information retrieval, data mining, self-supervised learning, particularly in recommender systems, graph learning.
Education
| University of Science and Technology of China(USTC) Ph.D. in Department of Electronic Engineering and Information Science (6系) Sep 2019 - Jun 2022, Hefei, Anhui, China Advisor: Prof. Xiangnan He |
| University of Science and Technology of China(USTC) Master in Department of Electronic Engineering and Information Science (6系) Sep 2017 - June 2019, Hefei, Anhui, China Advisor: Prof. Feng Wu Mentors: Prof. Cong Shen |
| University of Science and Technology of China(USTC) Bachelor in Department of Electronic Engineering and Information Science(6系) Sep 2013 - June 2017, Hefei, Anhui, China Advisor: Prof. Feng Wu |
Selected Publications
In the Year of 2024: |
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, and Maarten de Rijke SIGIR 2024 (Full, Accept Rate: 20.1%) Codes |
|
Large Language-Recommendation Assistant
Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, and Xiangnan He SIGIR 2024 (Full, Accept Rate: 20.1%) Codes |
|
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, and Xiangnan He SIGIR 2024 (Full, Accept Rate: 20.1%) Codes |
|
BSL: Understanding and Improving Softmax Loss for Recommendation
Junkang Wu, Jiawei Chen, Jiancan Wu*, Wentao Shi, Jizhi Zhang, and Xiang Wang ICDE 2024 (Full) Codes (*Corresponding) |
|
Masked Graph Modeling with Multi-View Contrast
Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, and Xiang Wang ICDE 2024 (Full) Codes |
|
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, and Hui Xiong WSDM 2024 (Full, Accept Rate: 18%) Codes |
|
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, and Tianyu Qiu ACM Transactions on Information Systems (TOIS 2024) Codes |
|
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning
Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, and Tat-Seng Chua ACM Transactions on Knowledge Discovery from Data (TKDD 2024) Codes |
|
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
Zhengyi Yang, Jiancan Wu*, Zhicai Wang, Xiang Wang, Yancheng Yuan, and Xiangnan He NeurIPS 2023 (Poster, Accept Rate: 26.1%) Codes (*Corresponding) |
|
Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, and Xiangnan He NeurIPS 2023 (Poseter, Accept Rate: 26.1%) Codes |
|
Unleashing the Power of Graph Data Augmentation on Covariate Shift
Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, and Xiangnan He NeurIPS 2023 (Poster, Accept Rate: 26.1%) Codes |
|
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts
Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, and Xiang Wang SIGIR 2023 (Full, Accept Rate: 20.1%) Codes |
|
GIF: A General Graph Unlearning Strategy via Influence Function
Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, and Xiangnan He WWW 2023 (Full, Accept Rate: 19.2%) Codes |
|
Adap-τ: Adpatively Modulating Embedding Magnitude for Recommendation
Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, and Xiangnan He WWW 2023 (Full, Accept Rate: 19.2%) Codes |
|
How graph convolutions amplify popularity bias for recommendation?
Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He Frontiers of Computer Science (FCS 2023) Codes |
|
Graph Convolution Machine for Context-aware Recommender System
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, and Xing Xie Frontiers of Computer Science (FCS 2022) Codes |
|
Cross Pairwise Ranking for Unbiased Item Recommendation
Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, and Ruiming Tang WWW 2022 (Full, Accept rate: 17.7%) Codes |
|
Causal Attention for Interpretable and Generalizable Graph Classification
Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, and Tat-Seng Chua KDD 2022 (Full, Accept rate: 15.0%) Codes |
|
Self-supervised Graph Learning for Recommendation
JiancanWu, XiangWang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, and Xing Xie. SIGIR 2021 (Full, Accept rate: 21%) • arXiv • Codes • Slides |
Experiences
| Postdoc Research Fellow, University of Science and Technology of China, June 2022 - Present Advisor: Prof. Xiangnan He (LDS: Lab for Data Science) |
| Research Intern, Tencent Music Entertainment Group, Shenzhen, May 2021 - Sep 2021 Mentor: Norman Bai |
Useful Links
| Machine Learning Reading List |
| Deep Learning Reading List |
Last update: March 27th, 2024. Webpage template borrows from Xiangnan He.