Xiangnan He

About Xiangnan He

Xiangnan He, With an exceptional h-index of 87 and a recent h-index of 84 (since 2020), a distinguished researcher at University of Science and Technology of China, specializes in the field of Recommendation, Causality, Big Data, Information Retrieval, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation

Item-side Fairness of Large Language Model-based Recommendation System

Moltc: Towards molecular relational modeling in language models

EXGC: Bridging efficiency and explainability in graph condensation

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Towards 3D Molecule-Text Interpretation in Language Models

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients

Xiangnan He Information

University

University of Science and Technology of China

Position

School of Data Science

Citations(all)

37930

Citations(since 2020)

36302

Cited By

10006

hIndex(all)

87

hIndex(since 2020)

84

i10Index(all)

197

i10Index(since 2020)

197

Email

University Profile Page

University of Science and Technology of China

Xiangnan He Skills & Research Interests

Recommendation

Causality

Big Data

Information Retrieval

Machine Learning

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

See List of Professors in Xiangnan He University(University of Science and Technology of China)

Xiangnan He FAQs

What is Xiangnan He's h-index at University of Science and Technology of China?

The h-index of Xiangnan He has been 84 since 2020 and 87 in total.

What are Xiangnan He's top articles?

The articles with the titles of

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation

Item-side Fairness of Large Language Model-based Recommendation System

Moltc: Towards molecular relational modeling in language models

EXGC: Bridging efficiency and explainability in graph condensation

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Towards 3D Molecule-Text Interpretation in Language Models

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients

...

are the top articles of Xiangnan He at University of Science and Technology of China.

What are Xiangnan He's research interests?

The research interests of Xiangnan He are: Recommendation, Causality, Big Data, Information Retrieval, Machine Learning

What is Xiangnan He's total number of citations?

Xiangnan He has 37,930 citations in total.

What are the co-authors of Xiangnan He?

The co-authors of Xiangnan He are Tat-Seng Chua, Zhang Yongdong, Min-Yen Kan (靳民彦), Xiang Wang, Fuli Feng.

Co-Authors

H-index: 117
Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

H-index: 70
Zhang Yongdong

Zhang Yongdong

University of Science and Technology of China

H-index: 64
Min-Yen Kan (靳民彦)

Min-Yen Kan (靳民彦)

National University of Singapore

H-index: 43
Xiang Wang

Xiang Wang

National University of Singapore

H-index: 41
Fuli Feng

Fuli Feng

National University of Singapore

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