Xiangnan He
University of Science and Technology of China
H-index: 87
Asia-China
Top articles of Xiangnan He
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning | ACM Transactions on Knowledge Discovery from Data | Yongduo Sui Wenyu Mao Shuyao Wang Xiang Wang Jiancan Wu | 2024 |
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation | arXiv preprint arXiv:2403.00844 | Wentao Shi Chenxu Wang Fuli Feng Yang Zhang Wenjie Wang | 2024/2/29 |
Item-side Fairness of Large Language Model-based Recommendation System | arXiv preprint arXiv:2402.15215 | Meng Jiang Keqin Bao Jizhi Zhang Wenjie Wang Zhengyi Yang | 2024/2/23 |
Moltc: Towards molecular relational modeling in language models | arXiv preprint arXiv:2402.03781 | Junfeng Fang Shuai Zhang Chang Wu Zhiyuan Liu Sihang Li | 2024/2/6 |
EXGC: Bridging efficiency and explainability in graph condensation | Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang | 2024/2/5 | |
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference | Haoxuan Li Chunyuan Zheng Sihao Ding Peng Wu Zhi Geng | ||
Towards 3D Molecule-Text Interpretation in Language Models | arXiv preprint arXiv:2401.13923 | Sihang Li Zhiyuan Liu Yanchen Luo Xiang Wang Xiangnan He | 2024/1/25 |
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients | arXiv preprint arXiv:2403.17745 | Zihao Zhao Yi Jing Fuli Feng Jiancan Wu Chongming Gao | 2024/3/26 |
Gif: A general graph unlearning strategy via influence function | Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang | 2023/4/30 | |
Unbiased knowledge distillation for recommendation | Gang Chen Jiawei Chen Fuli Feng Sheng Zhou Xiangnan He | 2023/2/27 | |
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach | Haoxuan Li Kunhan Wu Chunyuan Zheng Yanghao Xiao Hao Wang | 2023/11/2 | |
Counterfactual active learning for out-of-distribution generalization | Xun Deng Wenjie Wang Fuli Feng Hanwang Zhang Xiangnan He | 2023/7 | |
Learning to Double-Check Model Prediction From a Causal Perspective | IEEE Transactions on Neural Networks and Learning Systems | Xun Deng Fuli Feng Xiang Wang Xiangnan He Hanwang Zhang | 2023/4/13 |
Collm: Integrating collaborative embeddings into large language models for recommendation | arXiv preprint arXiv:2310.19488 | Yang Zhang Fuli Feng Jizhi Zhang Keqin Bao Qifan Wang | 2023/10/30 |
CIRS: Bursting filter bubbles by counterfactual interactive recommender system | ACM Transactions on Information Systems | Chongming Gao Shiqi Wang Shijun Li Jiawei Chen Xiangnan He | 2023/8/18 |
How Can Contrastive Pre-training Benefit Audio-Visual Segmentation? A Study from Supervised and Zero-shot Perspectives | Jiarui Yu Haoran Li Yanbin Hao Jinmeng Wu Tong Xu | 2023/10 | |
Boosting hyperspectral image classification with dual hierarchical learning | ACM Transactions on Multimedia Computing, Communications and Applications | Shuo Wang Huixia Ben Yanbin Hao Xiangnan He Meng Wang | 2023/1/5 |
Cooperative explanations of graph neural networks | Junfeng Fang Xiang Wang An Zhang Zemin Liu Xiangnan He | 2023/2/27 | |
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems | arXiv preprint arXiv:2312.15599 | Tianhao Shi Yang Zhang Zhijian Xu Chong Chen Fuli Feng | 2023/12/25 |
Addressing heterophily in graph anomaly detection: A perspective of graph spectrum | Yuan Gao Xiang Wang Xiangnan He Zhenguang Liu Huamin Feng | 2023/4/30 |