An Zhang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 46

Top Topics

Collaborative Filtering

Top Venues

Publications

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)
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 (2024)
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 (2024)
An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
Large Language Model Powered Agents for Information Retrieval. SIGIR (2024)
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)
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 (2024)
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)
Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. CoRR (2024)
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 (2024)
Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
Language Models Encode Collaborative Signals in Recommendation. CoRR (2024)
An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. WWW (2024)
An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR (2024)
An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. CoRR (2024)
An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua
Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. 42 (3) (2024)
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)
An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua
On Generative Agents in Recommendation. SIGIR (2024)
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 (2023)
Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) (2023)
Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. CoRR (2023)
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 (2023)
Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. ACM Multimedia (2023)
An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR (2023)
Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua
Discovering Dynamic Causal Space for DAG Structure Learning. CoRR (2023)
An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua
On Generative Agents in Recommendation. CoRR (2023)
Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
Cooperative Explanations of Graph Neural Networks. WSDM (2023)
Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR (2023)
An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua
Robust Collaborative Filtering to Popularity Distribution Shift. CoRR (2023)
Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua
Discovering Dynamic Causal Space for DAG Structure Learning. KDD (2023)
An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua
Invariant Collaborative Filtering to Popularity Distribution Shift. WWW (2023)
Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua
Redundancy-aware Transformer for Video Question Answering. CoRR (2023)
Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua
Redundancy-aware Transformer for Video Question Answering. ACM Multimedia (2023)
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) (2023)
An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. CoRR (2023)
An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. CoRR (2023)
An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua
Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR (2023)
Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. CoRR (2022)
An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. NeurIPS (2022)
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD (2022)
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR (2022)
Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He
Adversarial Causal Augmentation for Graph Covariate Shift. CoRR (2022)
Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
Discovering Invariant Rationales for Graph Neural Networks. ICLR (2022)
An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. CoRR (2022)
Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua
Differentiable Invariant Causal Discovery. CoRR (2022)
Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. ICML (2022)
Xiang Wang, Ying-Xin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua
Reinforced Causal Explainer for Graph Neural Networks. CoRR (2022)
Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua
Towards Multi-Grained Explainability for Graph Neural Networks. NeurIPS (2021)