Xiang Wang

According to our database, Xiang Wang authored at least 113 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rule-Guided Counterfactual Explainable Recommendation.

Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., May, 2024

Learning to Double-Check Model Prediction From a Causal Perspective.

Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

IEEE Trans. Neural Networks Learn. Syst., April, 2024

MolTC: Towards Molecular Relational Modeling In Language Models.

Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang

CoRR, 2024

Towards 3D Molecule-Text Interpretation in Language Models.

Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian

CoRR, 2024

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction.

Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Causal Inference for Knowledge Graph Based Recommendation.

Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., November, 2023

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

Yuan Gao, Xiang Wang, Xiangnan He, Huamin Feng, Yong-Dong Zhang

Frontiers Comput. Sci., August, 2023

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation.

Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

IEEE Trans. Knowl. Data Eng., May, 2023

Time-aware Path Reasoning on Knowledge Graph for Recommendation.

Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie

ACM Trans. Inf. Syst., April, 2023

User Perception of Recommendation Explanation: Are Your Explanations What Users Need?

Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma

ACM Trans. Inf. Syst., April, 2023

Bias and Debias in Recommender System: A Survey and Future Directions.

Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He

ACM Trans. Inf. Syst., 2023

Self-Supervised Learning for Multimedia Recommendation.

Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua

IEEE Trans. Multim., 2023

Reinforced Causal Explainer for Graph Neural Networks.

Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua

IEEE Trans. Pattern Anal. Mach. Intell., 2023

LLaRA: Aligning Large Language Models with Sequential Recommenders.

Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang

CoRR, 2023

Structured, Complex and Time-complete Temporal Event Forecasting.

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua

CoRR, 2023

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation.

Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua

CoRR, 2023

Large Language Model Can Interpret Latent Space of Sequential Recommender.

Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He

CoRR, 2023

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation.

Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang

CoRR, 2023

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules.

Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

CoRR, 2023

Robust Collaborative Filtering to Popularity Distribution Shift.

An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua

CoRR, 2023

On Generative Agents in Recommendation.

An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua

CoRR, 2023

Text-to-Image Generation for Abstract Concepts.

Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang

CoRR, 2023

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting.

An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua

CoRR, 2023

GIF: A General Graph Unlearning Strategy via Influence Function.

Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He

Proceedings of the ACM Web Conference 2023, 2023

Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum.

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

Proceedings of the ACM Web Conference 2023, 2023

Invariant Collaborative Filtering to Popularity Distribution Shift.

An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua

Proceedings of the ACM Web Conference 2023, 2023

Alleviating Structural Distribution Shift in Graph Anomaly Detection.

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Cooperative Explanations of Graph Neural Networks.

Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts.

Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Strategy-aware Bundle Recommender System.

Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LightGT: A Light Graph Transformer for Multimedia Recommendation.

Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss.

An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion.

Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation.

Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Redundancy-aware Transformer for Video Question Answering.

Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Context-aware Event Forecasting via Graph Disentanglement.

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Discovering Dynamic Causal Space for DAG Structure Learning.

Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Graph-based Code Representations for Source-level Functional Similarity Detection.

Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Boosting Causal Discovery via Adaptive Sample Reweighting.

An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Discovering Spatio-Temporal Rationales for Video Question Answering.

Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction.

Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.

Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter.

Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Hierarchical User Intent Graph Network for Multimedia Recommendation.

Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua

IEEE Trans. Multim., 2022

Exploring lottery ticket hypothesis in media recommender systems.

Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He

Int. J. Intell. Syst., 2022

Graph convolution machine for context-aware recommender system.

Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie

Frontiers Comput. Sci., 2022

Adversarial Causal Augmentation for Graph Covariate Shift.

Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He

CoRR, 2022

Differentiable Invariant Causal Discovery.

Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua

CoRR, 2022

Deconfounding to Explanation Evaluation in Graph Neural Networks.

Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, 2022

Training Free Graph Neural Networks for Graph Matching.

Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua

CoRR, 2022

On the Effectiveness of Sampled Softmax Loss for Item Recommendation.

Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, Xiangnan He

CoRR, 2022

Cross Pairwise Ranking for Unbiased Item Recommendation.

Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Neural Networks for Recommender System.

Chen Gao, Xiang Wang, Xiangnan He, Yong Li

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records.

Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Self-Supervised Learning for Recommender System.

Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering.

An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Equivariant and Invariant Grounding for Video Question Answering.

Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Causal Attention for Interpretable and Generalizable Graph Classification.

Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation.

Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Let Invariant Rationale Discovery Inspire Graph Contrastive Learning.

Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua

Proceedings of the International Conference on Machine Learning, 2022

Spatial-Temporal Correlation Modeling for Motion Prediction.

Yingying Jiao, Haipeng Chen, Chang Yao, Pengxiang Su, Chong Fu, Xiang Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Discovering Invariant Rationales for Graph Neural Networks.

Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua

Proceedings of the Tenth International Conference on Learning Representations, 2022

Invariant Grounding for Video Question Answering.

Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Learning for Recommendation.

Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Deconfounded Training for Graph Neural Networks.

Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua

CoRR, 2021

GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback.

Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua

CoRR, 2021

Hierarchical User Intent Graph Network forMultimedia Recommendation.

Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua

CoRR, 2021

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation.

Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

CoRR, 2021

A-FMI: Learning Attributions from Deep Networks via Feature Map Importance.

An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen

CoRR, 2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation.

Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua

Proceedings of the WWW '21: The Web Conference 2021, 2021

Self-supervised Graph Learning for Recommendation.

Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021.

Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Towards Multi-Grained Explainability for Graph Neural Networks.

Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Learning for Cold-Start Recommendation.

Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deconfounded Recommendation for Alleviating Bias Amplification.

Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Time horizon-aware modeling of financial texts for stock price prediction.

Fuli Feng, Xiang Wang, Xiangnan He, Ritchie Ng, Tat-Seng Chua

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.

Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen

IEEE Trans. Image Process., 2020

MGAT: Multimodal Graph Attention Network for Recommendation.

Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua

Inf. Process. Manag., 2020

HoAFM: A High-order Attentive Factorization Machine for CTR Prediction.

Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua

Inf. Process. Manag., 2020

Bilinear Graph Neural Network with Node Interactions.

Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang

CoRR, 2020

Graph Convolution Machine for Context-aware Recommender System.

Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang

CoRR, 2020

Reinforced Negative Sampling over Knowledge Graph for Recommendation.

Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Disentangled Graph Collaborative Filtering.

Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation.

Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.

Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yong-Dong Zhang, Meng Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback.

Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

How to Learn Item Representation for Cold-Start Multimedia Recommendation?

Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Interactive Path Reasoning on Graph for Conversational Recommendation.

Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Bilinear Graph Neural Network with Neighbor Interactions.

Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network.

Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Item-based Collaborative Filtering for Top-N Recommendation.

Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong

ACM Trans. Inf. Syst., 2019

Temporal Relational Ranking for Stock Prediction.

Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua

ACM Trans. Inf. Syst., 2019

Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning.

Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen

IEEE Trans. Image Process., 2019

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences.

Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua

Proceedings of the World Wide Web Conference, 2019

Interpretable Fashion Matching with Rich Attributes.

Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Graph Collaborative Filtering.

Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video.

Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua

Proceedings of the 27th ACM International Conference on Multimedia, 2019

KGAT: Knowledge Graph Attention Network for Recommendation.

Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning and Reasoning on Graph for Recommendation.

Xiang Wang, Xiangnan He, Tat-Seng Chua

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Reasoning over Knowledge Graphs for Recommendation.

Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

TEM: Tree-enhanced Embedding Model for Explainable Recommendation.

Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Personal Privacy Preserving Framework: I Let You Know Who Can See What.

Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Attentive Moment Retrieval in Videos.

Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Cross-modal Moment Localization in Videos.

Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Outer Product-based Neural Collaborative Filtering.

Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency.

Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua

ACM Trans. Inf. Syst., 2017

Data-Driven Answer Selection in Community QA Systems.

Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang

IEEE Trans. Knowl. Data Eng., 2017

Item Silk Road: Recommending Items from Information Domains to Social Users.

Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Computational Social Indicators: A Case Study of Chinese University Ranking.

Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Enhancing Micro-video Understanding by Harnessing External Sounds.

Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Shorter-is-Better: Venue Category Estimation from Micro-Video.

Jianglong Zhang, Liqiang Nie, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model.

Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2013

On Hermitian and skew-Hermitian splitting iteration methods for the linear matrix equation <i>A</i><i>X</i><i>B</i>=<i>C</i>.

Xiang Wang, Yan Li, Lin Dai

Comput. Math. Appl., 2013