Xiang Wang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 163

Top Venues

Publications

Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. CoRR (2024)
Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
Towards 3D Molecule-Text Interpretation in Language Models. ICLR (2024)
Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model. CoRR (2024)
Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He
LLaRA: Large Language-Recommendation Assistant. SIGIR (2024)
Jingru Duan, Yanbin Hao, Bin Zhu, Lechao Cheng, Pengyuan Zhou, Xiang Wang
Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling. IEEE Trans. Multim. 26 (2024)
Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18 (5) (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)
Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) (2024)
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR (2024)
Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR (2024)
Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
Towards 3D Molecule-Text Interpretation in Language Models. 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)
Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM (2024)
Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
Invariant Graph Learning for Causal Effect Estimation. WWW (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)
Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) (2024)
Chen-Lu Ding, Jiancan Wu, Wei Lin, Shiyang Shen, Xiang Wang, Yancheng Yuan
Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. CoRR (2024)
Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He
Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
β-DPO: Direct Preference Optimization with Dynamic β. CoRR (2024)
Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang
Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. CoRR (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)
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR (2024)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. AAAI (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)
Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
Language Models Encode Collaborative Signals in Recommendation. CoRR (2024)
Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36 (9) (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)
Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang
Graph Anomaly Detection with Bi-level Optimization. WWW (2024)
Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang
MolTC: Towards Molecular Relational Modeling In Language Models. ACL (Findings) (2024)
Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. ACM Trans. Inf. Syst. 42 (4) (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)
An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS (2023)
Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua
Self-Supervised Learning for Multimedia Recommendation. IEEE Trans. Multim. 25 (2023)
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41 (3) (2023)
Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. 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)
Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
A Comprehensive Evaluation of Large Language Models on Legal Judgment 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. ACM Multimedia (2023)
Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP (2023)
An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR (2023)
Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. CoRR (2023)
Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua
Discovering Spatio-Temporal Rationales for Video Question Answering. CoRR (2023)
Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
GIF: A General Graph Unlearning Strategy via Influence Function. WWW (2023)
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie
Time-aware Path Reasoning on Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 41 (2) (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)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. CoRR (2023)
Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR (2023)
Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
Cooperative Explanations of Graph Neural Networks. WSDM (2023)
Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang
Learning Graph-based Code Representations for Source-level Functional Similarity Detection. ICSE (2023)
Yuan Gao, Xiang Wang, Xiangnan He, Huamin Feng, Yong-Dong Zhang
Rumor detection with self-supervised learning on texts and social graph. Frontiers Comput. Sci. 17 (4) (2023)
Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua
Discovering Spatio-Temporal Rationales for Video Question Answering. ICCV (2023)
Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua
Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua
Strategy-aware Bundle Recommender System. SIGIR (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. 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)
Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua
LightGT: A Light Graph Transformer for Multimedia Recommendation. SIGIR (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
Context-aware Event Forecasting via Graph Disentanglement. KDD (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)
Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua
SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. IEEE Symposium on Security and Privacy (2022)
Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua
Training Free Graph Neural Networks for Graph Matching. CoRR (2022)
An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. NeurIPS (2022)
Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua
Equivariant and Invariant Grounding for Video Question Answering. ACM Multimedia (2022)
Yuan Gao, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang
Rumor Detection with Self-supervised Learning on Texts and Social Graph. CoRR (2022)
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD (2022)
Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua
Hierarchical User Intent Graph Network for Multimedia Recommendation. IEEE Trans. Multim. 24 (2022)
Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
Cross Pairwise Ranking for Unbiased Item Recommendation. WWW (2022)
Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
Causal Attention for Interpretable and Generalizable Graph Classification. KDD (2022)
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR (2022)
Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua
Equivariant and Invariant Grounding for Video Question Answering. 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)
Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He
Exploring lottery ticket hypothesis in media recommender systems. Int. J. Intell. Syst. 37 (5) (2022)
Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua
Invariant Grounding for Video Question Answering. CVPR (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)
Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua
Invariant Grounding for Video Question Answering. CoRR (2022)
Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua
Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR (2021)
Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie
Time-aware Path Reasoning on Knowledge Graph for Recommendation. CoRR (2021)
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW (2021)
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
Self-supervised Graph Learning for Recommendation. SIGIR (2021)
Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua
Contrastive Learning for Cold-Start Recommendation. CoRR (2021)

Xiang Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiang Wang