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ORCIDAn Zhang 0003
Person information
- affiliation: National University of Singapore, School of Computing, Singapore
Other persons with the same name
- An Zhang 0001
![[0000-0002-2622-5158]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2622-5158")
— Hangzhou Dianzi University, Hangzhou, China - An Zhang 0002 — Northwestern Polytechnical University, Xi'an, Shaanxi, China
- An Zhang 0004 — Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- An Zhang 0005 — Wuhan Textile University, Wuhan, China
- An Zhang 0006 — Wuhan University of Science and Technology, Wuhan, China
- An Zhang 0007 — University of Alberta, Canada
- An Zhang 0008 — Yangtze Memory Technologies Co., Ltd., Wuhan, China
- An Zhang 0009 — Tianjin University, Tianjin, China
- An Zhang 0010 — Harbin Institute of Technology, Harbin, China
- An Zhang 0011 — Chongqing University of Posts and Telecommunications, Chongqing, China
- An Zhang 0012 — Hunan University, College of Civil Engineering, Changsha, China
- An Zhang 0013 — Chongqing Medical University, Second Affiliated Hospital, Department of Critical Care Medicine, China
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2020 – today
- 2024
[j2]An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. 42(3): 80:1-80:25 (2024)- [c23]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) 2024: 5353-5377 - [c22]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) 2024: 5949-5966 - [c21]An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua:
On Generative Agents in Recommendation. SIGIR 2024: 1807-1817 - [c20]An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992 - [c19]Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245 - [c18]Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou:
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. WWW (Companion Volume) 2024: 1785-1788 - [c17]An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang:
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. WWW 2024: 3864-3875 - [i31]An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang:
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. CoRR abs/2402.13769 (2024) - [i30]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR abs/2405.12564 (2024) - [i29]Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua:
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. CoRR abs/2405.14125 (2024) - [i28]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR abs/2405.14225 (2024) - [i27]Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua:
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. CoRR abs/2406.05925 (2024) - [i26]Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. CoRR abs/2406.09215 (2024) - [i25]Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua:
Language Models Encode Collaborative Signals in Recommendation. CoRR abs/2407.05441 (2024) - [i24]An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR abs/2407.07544 (2024) - [i23]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) - 2023
- [j1]Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2297-2309 (2023) - [c16]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) 2023: 5506-5520 - [c15]An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR 2023 - [c14]Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua:
Discovering Dynamic Causal Space for DAG Structure Learning. KDD 2023: 1429-1440 - [c13]Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang:
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. ACM Multimedia 2023: 955-965 - [c12]Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua:
Redundancy-aware Transformer for Video Question Answering. ACM Multimedia 2023: 3172-3180 - [c11]Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He:
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. NeurIPS 2023 - [c10]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS 2023 - [c9]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS 2023 - [c8]Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua:
Cooperative Explanations of Graph Neural Networks. WSDM 2023: 616-624 - [c7]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. WWW 2023: 1240-1251 - [i22]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2302.05328 (2023) - [i21]An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. CoRR abs/2303.03187 (2023) - [i20]Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua:
Discovering Dynamic Causal Space for DAG Structure Learning. CoRR abs/2306.02822 (2023) - [i19]Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua:
Redundancy-aware Transformer for Video Question Answering. CoRR abs/2308.03267 (2023) - [i18]Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang:
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. CoRR abs/2308.04067 (2023) - [i17]An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua:
On Generative Agents in Recommendation. CoRR abs/2310.10108 (2023) - [i16]An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2310.10696 (2023) - [i15]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR abs/2310.13590 (2023) - [i14]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR abs/2310.14753 (2023) - [i13]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. CoRR abs/2310.18700 (2023) - [i12]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) - [i11]Yang Deng, Zifeng Ren, An Zhang, Wenqiang Lei, Tat-Seng Chua:
Towards Goal-oriented Intelligent Tutoring Systems in Online Education. CoRR abs/2312.10053 (2023) - 2022
- [c6]Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. ICLR 2022 - [c5]Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua:
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. ICML 2022: 13052-13065 - [c4]Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD 2022: 1233-1241 - [c3]An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua:
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. NeurIPS 2022 - [i10]Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Deconfounding to Explanation Evaluation in Graph Neural Networks. CoRR abs/2201.08802 (2022) - [i9]Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. CoRR abs/2201.12872 (2022) - [i8]Xiang Wang, Ying-Xin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. CoRR abs/2204.11028 (2022) - [i7]Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua:
Differentiable Invariant Causal Discovery. CoRR abs/2205.15638 (2022) - [i6]Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR abs/2206.00242 (2022) - [i5]Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua:
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. CoRR abs/2206.07869 (2022) - [i4]An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua:
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. CoRR abs/2210.11054 (2022) - [i3]Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He:
Adversarial Causal Augmentation for Graph Covariate Shift. CoRR abs/2211.02843 (2022) - 2021
- [c2]Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua:
Towards Multi-Grained Explainability for Graph Neural Networks. NeurIPS 2021: 18446-18458 - [i2]An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen:
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR abs/2104.05527 (2021) - 2020
- [c1]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. SIGIR 2020: 1001-1010 - [i1]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. CoRR abs/2007.01764 (2020)
Coauthor Index
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