Xiang Wang 0010 - researchr alias

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Viewing Publication 1 - 51 from 51

2025

2024

ProtT3: Protein-to-Text Generation for Text-based Protein UnderstandingZhiyuan Liu 0001, An Zhang 0003, Hao Fei 0001, Enzhi Zhang, Xiang Wang 0010, Kenji Kawaguchi, Tat-Seng Chua. acl 2024: 5949-5966 [doi]

Robust Collaborative Filtering to Popularity Distribution ShiftAn Zhang 0003, Wenchang Ma, Jingnan Zheng, Xiang Wang 0010, Tat-Seng Chua. tois, 42(3), May 2024. [doi]

Disentangling Masked Autoencoders for Unsupervised Domain GeneralizationAn Zhang 0003, Han Wang, Xiang Wang 0010, Tat-Seng Chua. eccv 2025: 126-151 [doi]

LASO: Language-Guided Affordance Segmentation on 3D ObjectYicong Li 0004, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang 0010, Tat-Seng Chua. cvpr 2024: 14251-14260 [doi]

Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly DetectionYuan Gao 0020, Jinghan Li, Xiang Wang 0010, Xiangnan He 0001, Huamin Feng, Yongdong Zhang 0001. tkde, 36(9):4849-4861, September 2024. [doi]

On Softmax Direct Preference Optimization for RecommendationYuxin Chen, Junfei Tan, An Zhang 0003, Zhengyi Yang 0007, Leheng Sheng, Enzhi Zhang, Xiang Wang 0010, Tat-Seng Chua. nips 2024: [doi]

Learning to Double-Check Model Prediction From a Causal PerspectiveXun Deng, Fuli Feng, Xiang Wang 0010, Xiangnan He 0001, Hanwang Zhang, Tat-Seng Chua. tnn, 35(4):5054-5063, April 2024. [doi]

Efficient Unsupervised Video Hashing With Contextual Modeling and Structural ControllingJingru Duan, Yanbin Hao, Bin Zhu, Lechao Cheng, Pengyuan Zhou, Xiang Wang 0010. tmm, 26:7438-7450, 2024. [doi]

MolTC: Towards Molecular Relational Modeling In Language ModelsJunfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang 0007, Zhiyuan Liu 0001, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang 0010. acl 2014: 1943-1958 [doi]

Dynamicity-aware Social Bot Detection with Dynamic Graph TransformersBuyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng 0001, Xiang Wang 0010, Yong Liao, Pengyuan Zhou. IJCAI 2024: 5844-5852 [doi]

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction GamesKexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang 0010. icml 2024: [doi]

Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal RetrievalMing Jin, Wenbo Hu 0001, Lei Zhu 0002, Xiang Wang 0010, Richang Hong. tcsv, 34(11):11286-11298, November 2024. [doi]

Towards 3D Molecule-Text Interpretation in Language ModelsSihang Li, Zhiyuan Liu 0001, Yanchen Luo, Xiang Wang 0010, Xiangnan He 0001, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian 0001. iclr 2024: [doi]

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningChengpeng Li, Zheng Yuan 0002, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang 0010, Chang Zhou. acl 2024: 10230-10258 [doi]

CIRP: Cross-Item Relational Pre-training for Multimodal Product BundlingYunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang 0010, Roger Zimmermann, Tat-Seng Chua. mm 2024: 9641-9649 [doi]

Leveraging Multimodal Features and Item-level User Feedback for Bundle ConstructionYunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang 0010, Tat-Seng Chua. wsdm 2024: 510-519 [doi]

MultiCBR: Multi-view Contrastive Learning for Bundle RecommendationYunshan Ma, Yingzhi He, Xiang Wang 0010, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua. tois, 42(4), July 2024. [doi]

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention LearningYongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang 0010, Jiancan Wu, Xiangnan He 0001, Tat-Seng Chua. tkdd, 18(5), June 2024. [doi]

Inductive Lottery Ticket Learning for Graph Neural NetworksYongduo Sui, Xiang Wang 0010, Tianlong Chen, Meng Wang 0001, Xiangnan He 0001, Tat-Seng Chua. jcst, 39(6):1223-1237, November 2024. [doi]

Enhance Image Classification via Inter-Class Image Mixup with Diffusion ModelZhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang 0010, Xiangnan He 0001, Qi Tian 0001. cvpr 2024: 17223-17233 [doi]

Rule-Guided Counterfactual Explainable RecommendationYinwei Wei, Xiaoyang Qu, Xiang Wang 0010, Yunshan Ma, Liqiang Nie, Tat-Seng Chua. tkde, 36(5):2179-2190, May 2024. [doi]

On the Effectiveness of Sampled Softmax Loss for Item RecommendationJiancan Wu, Xiang Wang 0010, Xingyu Gao 0001, Jiawei Chen 0007, Hongcheng Fu, Tianyu Qiu. tois, 42(4), July 2024. [doi]

2023

Boosting Causal Discovery via Adaptive Sample ReweightingAn Zhang 0003, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang 0010, Tat-Seng Chua. iclr 2023: [doi]

Discovering Spatio-Temporal Rationales for Video Question AnsweringYicong Li 0004, Junbin Xiao, Chun Feng, Xiang Wang 0010, Tat-Seng Chua. iccv 2023: 13823-13832 [doi]

Bias and Debias in Recommender System: A Survey and Future DirectionsJiawei Chen 0007, Hande Dong, Xiang Wang 0010, Fuli Feng, Meng Wang 0001, Xiangnan He 0001. tois, 41(3), 2023. [doi]

Reinforced Causal Explainer for Graph Neural NetworksXiang Wang 0010, Yingxin Wu 0002, An Zhang 0003, Fuli Feng, Xiangnan He 0001, Tat-Seng Chua. pami, 45(2):2297-2309, 2023. [doi]

Cooperative Explanations of Graph Neural NetworksJunfeng Fang, Xiang Wang 0010, An Zhang 0003, Zemin Liu, Xiangnan He 0001, Tat-Seng Chua. wsdm 2023: 616-624 [doi]

Rumor detection with self-supervised learning on texts and social graphYuan Gao, Xiang Wang 0010, Xiangnan He 0001, Huamin Feng, Yong-Dong Zhang 0001. fcsc, 17(4):174611, August 2023. [doi]

Learning Graph-based Code Representations for Source-level Functional Similarity DetectionJiahao Liu, Jun Zeng, Xiang Wang 0010, Zhenkai Liang. ICSE 2023: 345-357 [doi]

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal AdapterZhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei 0001, Yixin Cao 0002, Kenji Kawaguchi, Xiang Wang 0010, Tat-Seng Chua. emnlp 2023: 15623-15638 [doi]

Context-aware Event Forecasting via Graph DisentanglementYunshan Ma, Chenchen Ye 0001, Zijian Wu, Xiang Wang 0010, Yixin Cao 0002, Tat-Seng Chua. kdd 2023: 1643-1652 [doi]

ReLM: Leveraging Language Models for Enhanced Chemical Reaction PredictionYaorui Shi, An Zhang 0003, Enzhi Zhang, Zhiyuan Liu, Xiang Wang 0010. emnlp 2023: 5506-5520 [doi]

A Comprehensive Evaluation of Large Language Models on Legal Judgment PredictionRuihao Shui, Yixin Cao 0002, Xiang Wang 0010, Tat-Seng Chua. emnlp 2023: 7337-7348 [doi]

Self-Supervised Learning for Multimedia RecommendationZhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang 0010, Lifang Yang, Xianglin Huang, Tat-Seng Chua. tmm, 25:5107-5116, 2023. [doi]

Causal Inference for Knowledge Graph Based RecommendationYinwei Wei, Xiang Wang 0010, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua. tkde, 35(11):11153-11164, November 2023. [doi]

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich RecommendationLe Wu, Xiangnan He 0001, Xiang Wang 0010, Kun Zhang 0015, Meng Wang 0001. tkde, 35(5):4425-4445, May 2023. [doi]

GIF: A General Graph Unlearning Strategy via Influence FunctionJiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang 0010, Xiangnan He 0001. WWW 2023: 651-661 [doi]

A Generic Learning Framework for Sequential Recommendation with Distribution ShiftsZhengyi Yang, Xiangnan He 0001, Jizhi Zhang, Jiancan Wu, Xin Xin 0003, Jiawei Chen, Xiang Wang 0010. sigir 2023: 331-340 [doi]

Empowering Collaborative Filtering with Principled Adversarial Contrastive LossAn Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang 0010, Tat-Seng Chua. nips 2023: [doi]

Time-aware Path Reasoning on Knowledge Graph for RecommendationYuyue Zhao, Xiang Wang 0010, Jiawei Chen 0007, Yashen Wang, Wei Tang, Xiangnan He 0001, Haiyong Xie 0001. tois, 41(2), April 2023. [doi]

2022

2021

Towards Multi-Grained Explainability for Graph Neural NetworksXiang Wang 0010, Ying Xin Wu, An Zhang, Xiangnan He 0001, Tat-Seng Chua. nips 2021: 18446-18458 [doi]

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