Xiang Wang

Xiang Wang

National University of Singapore

H-index: 43

Asia-Singapore

About Xiang Wang

Xiang Wang, With an exceptional h-index of 43 and a recent h-index of 43 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Explainable AI, Trustworthy AI, Graph Neural Networks, Recommendation.

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

Leveraging multimodal features and item-level user feedback for bundle construction

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

Towards 3D Molecule-Text Interpretation in Language Models

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

Robust collaborative filtering to popularity distribution shift

Understanding contrastive learning via distributionally robust optimization

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

Xiang Wang Information

University

Position

School of Computing

Citations(all)

14722

Citations(since 2020)

14512

Cited By

2225

hIndex(all)

43

hIndex(since 2020)

43

i10Index(all)

61

i10Index(since 2020)

61

Email

University Profile Page

National University of Singapore

Google Scholar

View Google Scholar Profile

Xiang Wang Skills & Research Interests

Explainable AI

Trustworthy AI

Graph Neural Networks

Recommendation

Top articles of Xiang Wang

Title

Journal

Author(s)

Publication Date

Leveraging multimodal features and item-level user feedback for bundle construction

Yunshan Ma

Xiaohao Liu

Yinwei Wei

Zhulin Tao

Xiang Wang

...

2024/3/4

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

Advances in Neural Information Processing Systems

An Zhang

Leheng Sheng

Zhibo Cai

Xiang Wang

Tat-Seng Chua

2024/2/13

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

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout

arXiv preprint arXiv:2402.13769

An Zhang

Wenchang Ma

Pengbo Wei

Leheng Sheng

Xiang Wang

2024/2/21

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

Advances in Neural Information Processing Systems

Zhiyuan Liu

Yaorui Shi

An Zhang

Enzhi Zhang

Kenji Kawaguchi

...

2024/2/13

Robust collaborative filtering to popularity distribution shift

ACM Transactions on Information Systems

An Zhang

Wenchang Ma

Jingnan Zheng

Xiang Wang

Tat-Seng Chua

2024/1/22

Understanding contrastive learning via distributionally robust optimization

Advances in Neural Information Processing Systems

Junkang Wu

Jiawei Chen

Jiancan Wu

Wentao Shi

Xiang Wang

...

2024/2/13

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

Zhengyi Yang

Jiancan Wu

Zhicai Wang

Xiang Wang

Yancheng Yuan

...

2023/10/31

Unleashing the power of graph data augmentation on covariate distribution shift

Yongduo Sui

Qitian Wu

Jiancan Wu

Qing Cui

Longfei Li

...

2023/11/2

On the effectiveness of sampled softmax loss for item recommendation

ACM Transactions on Information Systems

Jiancan Wu

Xiang Wang

Xingyu Gao

Jiawei Chen

Hongcheng Fu

...

2024/3/22

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

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation

ACM Transactions on Information Systems

Yunshan Ma

Yingzhi He

Xiang Wang

Yinwei Wei

Xiaoyu Du

...

2024/3/22

Evaluating post-hoc explanations for graph neural networks via robustness analysis

Junfeng Fang

Wei Liu

Yuan Gao

Zemin Liu

An Zhang

...

2023/11

Exgc: Bridging efficiency and explainability in graph condensation

Junfeng Fang

Xinglin Li

Yongduo Sui

Yuan Gao

Guibin Zhang

...

2024/2/5

Bias and debias in recommender system: A survey and future directions

ACM Transactions on Information Systems

Jiawei Chen

Hande Dong

Xiang Wang

Fuli Feng

Meng Wang

...

2023/2/7

On generative agents in recommendation

arXiv preprint arXiv:2310.10108

An Zhang

Leheng Sheng

Yuxin Chen

Hao Li

Yang Deng

...

2023/10/16

On the opportunities of green computing: A survey

arXiv preprint arXiv:2311.00447

You Zhou

Xiujing Lin

Xiang Zhang

Maolin Wang

Gangwei Jiang

...

2023/11/1

Addressing heterophily in graph anomaly detection: A perspective of graph spectrum

Yuan Gao

Xiang Wang

Xiangnan He

Zhenguang Liu

Huamin Feng

...

2023/4/30

Rumor detection with self-supervised learning on texts and social graph

Frontiers of Computer Science (FOCS)

Yuan Gao

Xiang Wang

Xiangnan He

Huamin Feng

Yongdong Zhang

2022/4/19

Discovering spatio-temporal rationales for video question answering

Yicong Li

Junbin Xiao

Chun Feng

Xiang Wang

Tat-Seng Chua

2023

See List of Professors in Xiang Wang University(National University of Singapore)

Co-Authors

H-index: 117
Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

H-index: 97
Meng Wang, IEEE Fellow, IAPR Fellow

Meng Wang, IEEE Fellow, IAPR Fellow

Hefei University of Technology

H-index: 87
Xiangnan He

Xiangnan He

University of Science and Technology of China

H-index: 69
Richang Hong

Richang Hong

Hefei University of Technology

H-index: 67
Liqiang Nie (聂礼强), IAPR Fellow

Liqiang Nie (聂礼强), IAPR Fellow

Shandong University

H-index: 63
Hanwang Zhang (张含望)

Hanwang Zhang (张含望)

Nanyang Technological University

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