Xin Wang

王鑫

Associate Professor

Dr. Xin Wang is currently an Associate Professor at the Department of Computer Science and Technology, Tsinghua University, China. He got both of his Ph.D. and B.E. degrees in Computer Science and Technology from Zhejiang University, China. He also holds a Ph.D. degree in Computing Science from Simon Fraser University, Canada. His research interests include multimedia intelligence, big data analysis and machine learning.

Work Experiences

Tsinghua University

Beijing
Associate Professor
2024.1 - Present

Research Interests

  • Disentangled Representation Learning
  • Curriculum Machine Learning
  • Out-Of-Distribution Generalized Graph Machine Learning
  • Graph Neural Architecture Search
  • Graph Foundation Models
  • Visual Understanding and Generation
  • Embodied Long-horizon Tasks with World Models
  • Physics-informed Video Generation

Tsinghua University

Beijing
Assistant Professor
2020.1 - 2023.12

Research Interests

  • Multimedia Intelligence
  • Social Media Big Data Analysis
  • Automated Graph Machine Learning
  • Machine Learning Related Applications

Tsinghua University

Beijing
Postdoc Researcher
2017.7 - 2019.12

Advisor: Dr. Wenwu Zhu

Singapore Management University

Singapore
Visiting Scholar
2016.8 - 2017.5

Advisor: Dr. Steven C.H. Hoi

DeviantArt

Vancouver
Data Scientist Intern
2014.5 - 2014.10

Advisors:
Dr. Roger Donaldson (from Caltech);
Dr. Peter Gorniak (from MIT);
Christopher Nell (from UBC)

Educations

Ph.D. Computer Science and Techonology

Zhejiang University
Hangzhou, Zhejiang, P.R.China
2011.9 - 2017.7
Supervisor: Dr. Chun Chen

Ph.D. Computing Science


Simon Fraser University
Burnaby, British Columbia, Canada
2013.9 - 2016.7
Supervisor: Dr. Martin Ester

B.E. Computer Science and Techonology

Zhejiang University
Hangzhou, Zhejiang, P.R.China
2007.9 - 2011.7

Awards & Honors

Professional Services

  • Area Chair: ICML, ICLR, WWW, ACM KDD, IEEE ICME, ACM ICMR
  • Senior Program Committee Member: IJCAI, AAAI，ACM CIKM
  • Program Committee Member: ICML, NeurIPS, ICLR, IJCAI, AAAI, ICCV, CVPR, ECCV, WWW, SDM, ACM Multimedia, ACM KDD, ACM CIKM, ACM WSDM

  • Interactive Art co-Chairs: ACM Multimedia 2025
  • Panel Co-Chairs: ACM ICMR 2025
  • Grand Challenge Co-Chairs: IEEE ICME 2022
  • Finance Chair: ACM CIKM 2019

  • Associate Editor: IEEE Transactions on Multimedia (TMM)
  • Associate Editor: IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Guest Editor: IEEE Transactions on Neural Networks and Learning Systems

  • Executive Area Chair: VALSE
  • Deputy Secretary General: China Computer Federation Technical Committee on Multimedia Technology (CCF TCMT)
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Tutorials

Competitions

Selected Publications

Books and Book Chapters

  1. Book: Xin Wang, Xiaohan Lan, Wenwu Zhu. Video Grounding and Its Generalization: From I.D. and Task-specific Models to O.O.D. and Large Foundation Models. ISBN: 978-3-031-94836-7, Springer, 2025.
    2. Link
  2. 著作: 朱文武, 王鑫, 张子威. 图表征学习：迈向动态开放环境. ISBN: 978-7-121-45486-8, 电子工业出版社, 2023.
    Book: Wenwu Zhu, Xin Wang, Ziwei Zhang. Graph Representation Learning: Towards Dynamic and Open Environment [In Chinese]. ISBN: 978-7-121-45486-8, Publishing House of Electronics Industry, 2023.
  3. Book: Qi Wu, Peng Wang, Xin Wang, Xiaodong He, Wenwu Zhu. Visual Question Answering - From Theory to Application. ISBN: 978-9-811-90963-4, Springer, 2022.
    4. Link
  4. Book: Wenwu Zhu, Xin Wang. Automated Machine Learning and Meta-Learning for Multimedia. ISBN: 978-3-030-88131-3, Springer, 2021.
    5. Link
  5. Book Chapter: Wenwu Zhu, Xin Wang, Peng Cui. Deep Learning for Learning Graph Representations. Springer, 2020.
    6. Link

Conference and Journal Papers

2026

  1. Haibo Chen, Xin Wang, Guanheng Chen, Yuan Meng, Haoyang Li, Yang Yao, Zeyang Zhang, Zhiqiang Zhang, Jun Zhou, Ling Feng, Wenwu Zhu. Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization. ICLR 2026.
    2. Paper
  2. Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei, Wenwu Zhu. Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts. WWW 2026.
    3. Paper
  3. Zirui Pan, Xin Wang, Yipeng Zhang, Hong Chen, Kwan Man Cheng, Wenwu Zhu. Reasoning Diffusion for Unpaired Test Time Out-of-distribution Text-Image to Video Generation. CVPR 2026.
    4. Paper
  4. Yu-Wei Zhan, Xin Wang, Pengzhe Mao, Tongtong Feng, Ren Wang, Wenwu Zhu. ModularAgent: A Task-Aware Modular Framework for Joint Optimization of Multimodal Large Language Models and World Models. CVPR 2026.
    5. Paper
  5. Houlun Chen, Xin Wang, Guangyao Li, Yuwei Zhou, Yihan Chen, Jia Jia, Wenwu Zhu. Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding. ACM SIGIR 2026.
    6. Paper
  6. Tongtong Feng, Xin Wang, Feilin Han, Leping Zhang, Wenwu Zhu. U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks. AAAI 2026.
    7. Paper Demo
  7. Yipeng Zhang, Xin Wang, Hong Chen, Junwei Pan, Qian Li, Jun Zhang, Jie Jiang, Hong Mei, Wenwu Zhu. Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning. AAAI 2026.
    8. Paper
  8. Wei Feng, Xin Wang, Yu-Wei Zhan, Zuwei Zhou, Wenwu Zhu. Modularized Dynamic-Granularity Video LLM for Multi-Event Long Video Understanding. IEEE ICME 2026.
    9. Paper
  9. Guangyao Li, Xin Wang, Wenwu Zhu. AV-Unified A Unified Framework for Audio-visual Scene Understanding. IEEE Transactions on Multimedia (TMM) 2026.
    10. Paper
  10. Yuwei Zhou, Xin Wang, Hong Chen, Yipeng Zhang, Wenwu Zhu. Customized Text-to-Image Generation with Curriculum Multi-Reward Reinforcement Learning. IEEE Transactions on Multimedia (TMM) 2026.
    11. Paper

2025

  1. Haibo Chen, Xin Wang, Zeyang Zhang, Haoyang Li, Ling Feng, Wenwu Zhu. AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization. ICML 2025.
    2. Paper
  2. Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao, Wenwu Zhu. Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum. ICML 2025.
    3. Paper
  3. Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu. Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts. ICML 2025.
    4. Paper
  4. Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan, Longtao Huang, Hui Xue, Wenwu Zhu. Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning. ICML 2025.
    5. Paper
  5. Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu. Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering. ICML 2025.
    6. Paper
  6. Sibo Tian, Xin Wang, Zeyang Zhang, Haibo Chen, Wenwu Zhu. Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup. NeurIPS 2025.
    7. Paper
  7. Linxin Xiao, Xin Wang, Zeyang Zhang, Yang Yao, Wenwu Zhu. DyNAS-DDI: Dynamic Pairwise Architecture Search for Generalizable Drug-Drug Interaction LLM. ACM Multimedia 2025.
    8. Paper
  8. Yuwei Zhou, Xin Wang, Hong Chen, Yipeng Zhang, Zeyang Zhang, Wenwu Zhu. ModuleTeam: Open-Set Multi-Conditional Image Generation with Training-Free Latent Mixture of Any Control Module. ACM Multimedia 2025.
    9. Paper
  9. Ren Wang, Xin Wang, Tongtong Feng, Xinyue Gong, Guangyao Li, Yu-Wei Zhan, Qing Li, Wenwu Zhu. Improving Compositional Generalization in Cross-Embodiment Learning via Mixture of Disentangled Prototypes. ACM Multimedia 2025.
    10. Paper
  10. Baining Zhao, Ziyou Wang, Jianjie Fang, Chen Gao, Fanhang Man, Jinqiang Cui, Xin Wang, Xinlei Chen, Yong Li, Wenwu Zhu. Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning. ACM Multimedia 2025.
    11. Paper
  11. Peiwen Li, Xin Wang, Zeyang Zhang, Ziwei Zhang, Fang Shen, Jialong Wang, Yang Li, Wenwu Zhu. Causal-aware Graph Neural Architecture Search under Distribution Shifts. ACM KDD 2025.
    12. Paper
  12. Zirui Pan, Xin Wang, Yipeng Zhang, Hong Chen, Houlun Chen, Kwan Man Cheng, Yaofei Wu, Wenwu Zhu. Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM. AAAI 2025.
    13. Paper
  13. Bin Huang, Xin Wang, Hong Chen, Houlun Chen, Yaofei Wu, Wenwu Zhu. Identity-Text Video Corpus Grounding. AAAI 2025.
    14. Paper
  14. Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu. Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation. AAAI 2025.
    15. Paper
  15. Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu. JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration. AAAI 2025.
    16. Paper
  16. Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu. Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards. IEEE CVPR 2025.
    17. Paper
  17. Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu. Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers. IEEE CVPR 2025.
    18. Paper
  18. Wei Feng, Xin Wang, Hong Chen, Zeyang Zhang, Wenwu Zhu. Multi-sentence Video Grounding for Long Video Generation. IEEE ICME 2025. (Best Paper Award Runner-up)
    19. Paper
  19. Houlun Chen, Xin Wang, Hong Chen, Wei Feng, Zihan Song, Jia Jia, Wenwu Zhu. Localizing Step-by-Step: Multimodal Long Video Temporal Grounding with LLM. IEEE ICME 2025.
    20. Paper
  20. Zihao Wu, Xin Wang, Heng Chang, Hong Chen, Lifeng Sun, Wenwu Zhu. Aligning Large Multimodal Model with Sequential Recommendation via Content-Behavior Guidance. ACM ICMR 2025.
    21. Paper
  21. Xing Wang, Tianhui Jiao, Yi Yang, Shaochen Li, Dongqi Li, An Guo, Yuhui Shi, Yuchen Tang, Jinwu Chen, Zhican Zhang, Zhichao Liu, Bo Liu, Weiwei Shan, Xin Wang, Hao Cai, Wenwu Zhu, Jun Yang, Xin Si. A 28-nm 17.83-62.84 TFLOPS/W Broadcast-Alignment Floating-Point CIM Macro with Non-2's-Complement MAC for CNNs and Transformers. IEEE ISSCC 2025.
    22. Paper
  22. An Guo#, Zhichao Liu#, Wentao Zheng, Yutong Zhang, Tianhui Jiao, Fangyuan Dong, Mingzi Wang, Shaochen Li, Zhican Zhang, Yuhui Shi, Xing Wang, Xin Si, Xin Wang, Wenwu Zhu. A 28nm 244.45TOPS/W Winograd-Standard Fusion Accelerator with Symmetric Hybrid Domain CIM Groups for Edge AI Devices. IEEE A-SSCC 2025.
    23. Paper
  23. Xin Wang, Haoyang Li, Zeyang Zhang, Haibo Chen, Tong Xiao, Kehan Li, Wenwu Zhu. Uncertainty-aware Disentangled Dynamic Graph Attention Network for Out-of-Distribution Generalization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025.
    24. Paper Code
  24. Haoyang Li#, Xin Wang#, Ziwei Zhang, Wenwu Zhu. Out-Of-Distribution Generalization on Graphs: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025.
    25. Paper
  25. Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu. Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025.
    26. Paper
  26. Yipeng Zhang, Xin Wang, Hong Chen, Chenyang Qin, Yibo Hao, Hong Mei, Wenwu Zhu. ScenarioDiff: Text-to-video Generation with Dynamic Transformations of Scene Conditions. International Journal of Computer Vision (IJCV) 2025.
    27. Paper
  27. Xin Wang, Hong Chen, Zirui Pan, Yuwei Zhou, Chaoyu Guan, Lifeng Sun, Wenwu Zhu. Automated Disentangled Sequential Recommendation with Large Language Models. ACM Transactions on Information Systems (TOIS) 2025.
    28. Paper Code
  28. Hong Chen, Xin Wang, Guanning Zeng, Yipeng Zhang, Yuwei Zhou, Feilin Han, Yaofei Wu, Wenwu Zhu. VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models. IEEE Transactions on Multimedia (TMM) 2025.
    29. Paper
  29. Xin Wang, Zirui Pan, Hong Chen, Wenwu Zhu. DiViCo: Disentangled Visual Token Compression for Efficient Large Vision-Language Model. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2025.
    30. Paper Code
  30. Xin Wang, Yuwei Zhou, Bin Huang, Hong Chen, Wenwu Zhu. Multi-modal Generative AI: Multi-modal LLMs, Diffusions, and the Unification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2025.
    31. Paper
  31. Chaoyang Li, Xin Wang, Wenwu Zhu, Lingzhi Wang, Ning Hu, Qing Liao. Customized Multi-Subject Text-to-Image Generation with Causal Tuning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2025.
    32. Paper
  32. Tongtong Feng, Xin Wang, Yugang Jiang, Wenwu Zhu. Embodied AI: From LLMs to World Models. IEEE Circuits and Systems Magazine 2025. (Feature Paper)
    33. Paper
  33. Da Wang, Wei Wei, Lin Li, Xin Wang, Jiye Liang. Rethinking Exploration-Exploitation Trade-Off in Reinforcement Learning via Cognitive Consistency. Neural Networks 2025.
    34. Paper
  34. Zijie Zuo, Jie Nie, Xin Wang, Junyu Dong. SVIFNN: Robust Inpainting Fourier Neural Network for SST Scientific Visualization Image Leveraging Significant Stability and Non-Significant Anomalies. IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2025.
    35. Paper
  35. Xin Wang, Zeyang Zhang, Linxin Xiao, Haibo Chen, Chendi Ge, Wenwu Zhu. Towards Multimodal Graph Large Language Model. Science China Information Sciences 2025.
    36. Paper
  36. 朱文武, 王鑫, 徐宗本. 自主机器学习. 中国科学: 信息科学 2025.
    Wenwu Zhu, Xin Wang, Zongben Xu. Autonomous Machine Learning (In Chinese). SCIENTIA SINICA Informationis 2025.
    37. Paper
  37. 李昊阳, 王鑫, 朱文武. 基于显式独立性解耦的分布外泛化动态图注意力网络. 中国科学: 信息科学 2025.
    Haoyang Li, Xin Wang, Wenwu Zhu. Independence-Promoted Disentangled Dynamic Graph Attention Network for Out-of-Distribution Generalization (In Chinese). SCIENTIA SINICA Informationis 2025.
    38. Paper

2024

  1. Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu. Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. ICML 2024.
    2. Paper
  2. Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu. Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. ICML 2024.
    3. Paper
  3. Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan liu, Wenwu Zhu. CurBench: Curriculum Learning Benchmark. ICML 2024.
    4. Paper
  4. Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng, Bin Huang, Jia Jia, Wenwu Zhu. VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding. NeurIPS 2024.
    5. Paper
  5. Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu. DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation. ICLR 2024.
    6. Paper Code
  6. Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu. VTimeLLM: Empower LLM to Grasp Video Moments. IEEE CVPR 2024.
    7. Paper
  7. Hong Chen, Xin Wang, Yipeng Zhang, Yuwei Zhou, Zeyang Zhang, Siao Tang, Wenwu Zhu. DisenStudio:Customized Multi-Subject Text-to-Video Generation with Disentangled Spatial Control. ACM Multimedia 2024.
    8. Paper
  8. Tongtong Feng, Xin Wang, Feilin Han, Leping Zhang, Wenwu Zhu. U2UData: A Large-scale Cooperative Perception Dataset for Swarm UAVs Autonomous Flight. ACM Multimedia 2024. (Best Paper Award Nomination)
    9. Paper
  9. Bin Huang, Feng He, Qi Wang, Hong Chen, Guohao Li, Zhifan Feng, Xin Wang, Wenwu Zhu. Neighbor Does Matter: Curriculum Global Positive-Negative Sampling for Vision-Language Pre-training. ACM Multimedia 2024.
    10. Paper
  10. Feilin Han, Leping Zhang, Xin Wang, Ke-Ao Zhao, Ying Zhong, Ziyi Su, Tongtong Feng, Wenwu Zhu. U2USim - A UAV Telepresence Simulation Platform with Multi-agent Sensing and Dynamic Environment. ACM Multimedia 2024 Demo.
    11. Paper
  11. Yipeng Zhang, Xin Wang, Hong Chen, Jiapei Fan, Weigao Wen, Hui Xue, Hong Mei, Wenwu Zhu. Large Language Model With Curriculum Reasoning for Visual Concept Recognition. ACM KDD 2024.
    12. Paper
  12. Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu. LLM4DyG: Can LLMs Solve Spatial-Temporal Problems on Dynamic Graphs? ACM KDD 2024.
    13. Paper
  13. Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. ACM KDD 2024.
    14. Paper
  14. Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei. Data-augmented Curriculum Graph Neural Architecture Search Under Distribution Shifts. AAAI 2024.
    15. Paper
  15. Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu. Multimodal Graph Neural Architecture Search Under Distribution Shifts. AAAI 2024.
    16. Paper
  16. Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu. Rethinking Propagation for Unsupervised Graph Domain Adaptation. AAAI 2024.
    17. Paper
  17. Si'ao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Zewen Wu, Yansong Tang, Wenwu Zhu. Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models. ECCV 2024.
    18. Paper
  18. Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu. RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model. ACM CIKM 2024.
    19. Paper
  19. Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei. Customized Cross-device Neural Architecture Search with Images. IEEE ICME 2024.
    20. Paper
  20. Chen Zhu, Liang Du, Hong Chen, Shuang Zhao, Zixun Sun, Xin Wang, Wenwu Zhu. DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction. CogSci 2024.
    21. Paper Code
  21. Tongtong Feng, Qing Li, Xin Wang, Mingzi Wang, Guangyao Li, Wenwu Zhu. Multi-weather Cross-view Geo-localization Using Denoising Diffusion Models. ACM Multimedia 2024 UAVM Workshop.
    22. Paper
  22. Zijie Zuo, Jie Nie, Xin Wang, Xinyue Liang, Bo Yin. Context Constraints-Guided Reconstruction Robust Network for Cloud-Induced Extensive Missing Area in Sea Surface Temperature. IEEE IGARSS 2024.
    23. Paper
  23. Xin Wang, Hong Chen, Si'ao Tang, Zihao Wu, Wenwu Zhu. Disentangled Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024.
    24. Paper
  24. Zheyang Zhang, Xin Wang, Haibo Chen, Haoyang Li, Wenwu Zhu. Disentangled Dynamic Graph Attention Network for Out-of-distribution Sequential Recommendation. ACM Transactions on Information Systems (TOIS) 2024.
    25. Paper
  25. Jie Nie#, Xin Wang#, Runze Hou, Guohao Li, Hong Chen, Wenwu Zhu. Dynamic Spatio-Temporal Graph Reasoning for VideoQA with Self-Supervised Event Recognition. IEEE Transactions on Image Processing (TIP) 2024.
    26. Paper
  26. Hong Chen, Yipeng Zhang, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu. DisenDreamer: Subject-Driven Text-to-Image Generation with Sample-aware Disentangled Tuning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2024.
    27. Paper
  27. Runze Hou, Puti Yan, Xuguang Duan, Xin Wang. Unsupervised Image Sequence Registration and Enhancement for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2024.
    28. Paper
  28. Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester. A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. ACM Computing Surveys (CSUR) 2024.
    29. Paper
  29. Xin Wang, Wenwu Zhu. Advances in Neural Architecture Search. National Science Review (NSR) 2024.
    30. Paper

2023

  1. Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu. Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation. ICML 2023.
    2. Paper Code
  2. Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei. Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML 2023.
    3. Paper
  3. Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu. Joint Data-Task Generation for Auxiliary Learning. NeurIPS 2023.
    4. Paper Code
  4. Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu. Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum. NeurIPS 2023.
    5. Paper Code
  5. Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu. Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. NeurIPS 2023.
    6. Paper Code
  6. Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu. Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision. NeurIPS 2023.
    7. Paper Code
  7. Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu. AutoGT: Automated Graph Transformer Architecture Search. ICLR 2023.
    8. Paper Code
  8. Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Zhitao Ying, Wenwu Zhu. Adversarially Robust Neural Architecture Search for Graph Neural Networks. IEEE CVPR 2023.
    9. Paper Supplement
  9. Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu. Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering. ICCV 2023.
    10. Paper Code
  10. Xin Wang, Zihao Wu, Hong Chen, Xiaohan Lan, Wenwu Zhu. Mixup-Augmented Temporally Debiased Video Grounding with Content-Location Disentanglement. ACM Multimedia 2023.
    11. Paper Code
  11. Xin Wang, Benyuan Meng, Hong Chen, Yuan Meng, Ke Lv, Wenwu Zhu. TIVA-KG: A Multimodal Knowledge Graph with Text, Image, Video and Audio. ACM Multimedia 2023.
    12. Paper Code Dataset1 Dataset2 Website
  12. Yuwei Zhou, Xin Wang, Hong Chen, Xuguang Duan, Wenwu Zhu. Intra- and Inter-Modal Curriculum for Multimodal Learning. ACM Multimedia 2023.
    13. Paper Code
  13. Houlun Chen, Xin Wang, Xiaohan Lan, Hong Chen, Xuguang Duan, Jia Jia, Wenwu Zhu. Curriculum-Listener: Consistency- and Complementarity-Aware Audio-Enhanced Temporal Sentence Grounding. ACM Multimedia 2023.
    14. Paper Code
  14. Zihao Wu, Xin Wang, Hong Chen, Kaidong Li, Yi Han, Lifeng Sun, Wenwu Zhu. Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation. ACM Multimedia 2023 Brave New Idea.
    15. Paper Code
  15. Yi Han, Kaidong Li, Zihan Song, Wei Feng, Xiang Cao, Shida Guo, Xin Wang, Xuguang Duan, Wenwu Zhu. H2V4Sports: Real-Time Horizontal-to-Vertical Video Converter for Sports Lives via Fast Object Detection and Tracking. ACM Multimedia 2023 Demo.
    16. Paper Code
  16. Yipeng Zhang, Xin Wang, Hong Chen, Wenwu Zhu. Adaptive Disentangled Transformer for Sequential Recommendation. ACM KDD 2023.
    17. Paper Code
  17. Xin Wang, Yue Liu, Jiapei Fan, Weigao Wen, Hui Xue, Wenwu Zhu. Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization. ACM WWW 2023.
    18. Paper Code
  18. Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu. Cross-domain Recommendation with Behavioral Importance Perception. ACM WWW 2023.
    19. Paper
  19. Haoyang Li#, Xin Wang#, Wenwu Zhu. Curriculum Graph Machine Learning: A Survey. IJCAI 2023.
    20. Paper
  20. Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu. Dynamic Heterogeneous Graph Attention Neural Architecture Search. AAAI 2023.
    21. Paper Code
  21. Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu. Curriculum Multi-Negative Augmentation for Debiased Video Grounding. AAAI 2023.
    22. Paper
  22. Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang , Wenwu Zhu. Causal Discovery in Temporal Domain from Interventional Data. ACM CIKM 2023.
    23. Paper Code
  23. Hong Chen, Bin Huang, Xin Wang, Yuwei Zhou, Wenwu Zhu. Global-Local GraphFormer: Towards Better Understanding of User Intentions in Sequential Recommendation. ACM Multimedia Asia 2023. (Best Paper Award)
    24. Paper Code
  24. Wei Feng, Haoyang Li, Xin Wang, Xuguang Duan, Zi Qian, Wu Liu, Wenwu Zhu. Multimedia Cognition and Evaluation in Open Environments. ACM Multimedia 2023 McGE Workshop. (Best Paper Award)
    25. Paper
  25. Xin Wang, Hong Chen, Yuwei Zhou, Jianxin Ma, Wenwu Zhu. Disentangled Representation Learning for Recommendation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023.
    26. Paper Code
  26. Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu. Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.
    27. Paper Code
  27. Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu. Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. ACM Transactions on Information Systems (TOIS) 2023.
    28. Paper
  28. Xuanrong Yao, Xin Wang, Yue Liu, Wenwu Zhu. Continual Recognition with Adaptive Memory Update. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) 2023.
    29. Paper Code
  29. Cong Zou, Rui Wang, Cheng Jin, Sanyi Zhang, Xin Wang. S2CL-Leaf Net: Recognizing Leaf Images Like Human Botanists. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) 2023.
    30. Paper
  30. Fang Shen, Jialong Wang, Ziwei Zhang, Xin Wang, Yue Li, Zhaowei Geng, Bing Pan, Zengyi Lu, Wendy Zhao, Wenwu Zhu. Long-Term Multivariate Time Series Forecasting in Data Centers Based on Multi-Factor Separation Evolutionary Spatial–Temporal Graph Neural Networks. Knowledge-Based Systems 2023.
    31. Paper
  31. Puti Yan, Runze Hou, Xuguang Duan, Chengfei Yue, Xin Wang, Xibin Cao. STDMANet: Spatio-temporal Differential Multiscale Attention Network for Small Moving Infrared Target Detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2023.
    32. Paper Code
  32. 王鑫, 姚洋, 蒋昱航, 关超宇, 朱文武. 硬件感知的神经架构搜索. 中国科学：信息科学 2023.
    Xin Wang, Yang Yao, Yuhang Jiang, Chaoyu Guan, Wenwu Zhu. Hardware-aware Neural Architecture Search. SCIENTIA SINICA Informationis 2023.
    33. Paper
  33. 王鑫, 朱文武. Video Grounding：视频时序定位. 中国计算机学会通讯 2023.
    Xin Wang, Wenwu Zhu. Video Grounding. Communications of China Computer Federation 2023.
    34. Paper
  34. 张子威, 王鑫, 朱文武. 图神经架构搜索综述. 计算机学报 2023.
    Ziwei Zhang, Xin Wang, Wenwu Zhu. Graph Neural Architecture Search: A Survey. Chinese Journal of Computers 2023.
    35. Paper
  35. 于俊清, 王鑫, 况琨, 刘偲, 张新峰, 宋子恺. 跨媒体智能关联分析与语义理解理论与技术研究进展. 计算机辅助设计与图形学学报 2023.
    Junqing Yu, Xin Wang, Kun Kuang, Si Liu, Xinfeng Zhang, Zikai Song. Advances in Theory and Technology of Cross-Media Intelligent Association Analysis. Journal of Computer-Aided Design & Computer Graphics 2023.
    36. Paper

2022

  1. Hong Chen, Xin Wang, Chaoyu Guan, Yue Liu, Wenwu Zhu. Auxiliary Learning with Joint Task and Data Scheduling. ICML 2022.
    2. Paper Code
  2. Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu. Large-Scale Graph Neural Architecture Search. ICML 2022.
    3. Paper Code
  3. Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu. Graph Neural Architecture Search Under Distribution Shifts. ICML 2022.
    4. Paper
  4. Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu. Parametric Visual Program Induction with Function Modularization. ICML 2022.
    5. Paper
  5. Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei. DNA: Domain Generalization with Diversified Neural Averaging. ICML 2022.
    6. Paper Code
  6. Hong Chen, Xin Wang, Yue Liu, Yuwei Zhou, Chaoyu Guan, Wenwu Zhu. Module-Aware Optimization for Auxiliary Learning. NeurIPS 2022.
    7. Paper Code
  7. Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Qin Zhou, Wenwu Zhu. Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift. NeurIPS 2022.
    8. Paper Code
  8. Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu. Learning Invariant Graph Representations for Out-of-Distribution Generalization. NeurIPS 2022.
    9. Paper
  9. Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu. NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search. NeurIPS 2022.
    10. Paper
  10. Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong, Wenwu Zhu. Multimodal Continual Graph Learning with Neural Architecture Search. ACM WWW 2022.
    11. Paper Code
  11. Zi Qian, Xin Wang, Xuguang Duan, Hong Chen, Wenwu Zhu. Dynamic Spatio-Temporal Modular Network for Video Question Answering. ACM Multimedia 2022.
    12. Paper
  12. Yuwei Zhou, Xin Wang, Hong Chen, Xuguang Duan, Chaoyu Guan, Wenwu Zhu. Curriculum-NAS: Curriculum Weight-Sharing Neural Architecture Search. ACM Multimedia 2022.
    13. Paper Code
  13. Pinci Yang, Xin Wang, Xuguang Duan, Hong Chen, Runze Hou, Cong Jin, Wenwu Zhu. AVQA: A Dataset for Audio-Visual Question Answering on Videos. ACM Multimedia 2022.
    14. Paper Code Dataset (OneDrive) Dataset (Baidu)
  14. Meng Sun, Ju Ren, Xin Wang, Wenwu Zhu, Yaoxue Zhang. FastPR: One-stage Semantic Person Retrieval via Self-supervised Learning. ACM Multimedia 2022.
    15. Paper
  15. Yuwei Zhou, Hong Chen, Zirui Pan, Chuanhao Yan, Fanqi Lin, Xin Wang, Wenwu Zhu. CurML: A Curriculum Machine Learning Library. ACM Multimedia 2022.
    16. Paper
  16. Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu. Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum. AAAI 2022.
    17. Paper Code
  17. Fang Shen, Zhan Li, Bing Pan, Ziwei Zhang, Jialong Wang, Wendy Zhao, Xin Wang, Wenwu Zhu. Inter-and-Intra Domain Attention Relational Inference for Rack Temperature Prediction in Data Center. DASFAA 2022.
    18. Paper
  18. Zijie Zuo, Jie Nie, Zian Zhao, Huaxin Xie, Xiangqian Ding, Shusong Yu, Lei Huang, Yuxuan Yue, Xin Wang. RPITN: Review Based Preference Invariance Transfer Network for Cross-Domain Recommendation. IEEE ICME 2022.
    19. Paper Code
  19. Xuguang Duan, Xin Wang, Peilin Zhao, Guangyao Shen, Wenwu Zhu. DeepLogic: Joint Learning of Neural Perception and Logical Reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022.
    20. Paper
  20. Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu. OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022.
    21. Paper
  21. Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu. Disentangled Graph Contrastive Learning With Independence Promotion. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022.
    22. Paper
  22. Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang. Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022.
    23. Paper
  23. Xiaohan Lan, Yitian Yuan, Xin Wang, Long Chen, Zhi Wang, Lin Ma, Wenwu Zhu. A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) 2022.
    24. Paper
  24. Xiaohan Lan, Yitian Yuan, Xin Wang, Zhi Wang, Wenwu Zhu. A Survey on Temporal Sentence Grounding in Videos. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) 2022.
    25. Paper
  25. Wenwu Zhu, Xin Wang, Pengtao Xie. Self-directed Machine Learning. AI Open 2022.
    26. Paper
  26. 朱文武, 王鑫, 田永鸿, 高文. 多媒体智能：当多媒体遇到人工智能. 中国图象图形学报 2022.
    Wenwu Zhu, Xin Wang, Yonghong Tian, Wen Gao. Multimedia intelligence: the convergence of multimedia and AI. Journal of Image and Graphics 2022.
    27. Paper

2021

  1. Xin Wang, Shuyi Fan, Kun Kuang, Wenwu Zhu. Explainable Automated Graph Representation Learning with Hyperparameter Importance. ICML 2021.
    2. Paper Code
  2. Chaoyu Guan, Xin Wang, Wenwu Zhu. AutoAttend: Automated Attention Representation Search. ICML 2021.
    3. Paper Code
  3. Yijian Qin, Xin Wang, Zeyang Zhang, Wenwu Zhu. Graph Differentiable Architecture Search with Structure Learning. NeurIPS 2021.
    4. Paper Code
  4. Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu. Disentangled Contrastive Learning on Graphs. NeurIPS 2021.
    5. Paper Code
  5. Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu. Curriculum Disentangled Recommendation with Noisy Multi-feedback. NeurIPS 2021.
    6. Paper Code
  6. Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu. Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS 2021.
    7. Paper
  7. Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu. Curriculum Meta-Learning for Next POI Recommendation. ACM KDD 2021.
    8. Paper Code
  8. Ziwei Zhang#, Xin Wang#, Wenwu Zhu. Automated Machine Learning on Graphs: A Survey. IJCAI 2021.
    9. Paper
  9. Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu. Distilling Holistic Knowledge with Graph Neural Networks. IEEE ICCV 2021.
    10. Paper
  10. Xin Wang#, Hong Chen#, Wenwu Zhu. Multimodal Disentangled Representation for Recommendation. IEEE ICME 2021.
    11. Paper
  11. Yijian Qin, Xin Wang, Peng Cui, and Wenwu Zhu. GQNAS: Graph Q Network for Neural Architecture Search. IEEE ICDM 2021.
    12. Paper
  12. Yue Liu, Xin Wang, Xue Xu, Jianbo Yang, Wenwu Zhu. Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling. ACM CIKM 2021.
    13. Paper
  13. Zhikun Wei, Xin Wang, Wenwu Zhu. AutoIAS: Automatic Integrated Architecture Searcher For Click-Trough Rate Prediction. ACM CIKM 2021.
    14. Paper
  14. Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C.H. Hoi. Discrete Listwise Collaborative Filtering for Fast Recommendation. SDM 2021.
    15. Paper
  15. Yitian Yuan, Xiaohan Lan, Xin Wang, Long Chen, Zhi Wang, Wenwu Zhu. A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric. ACM Multimedia 2021 HuMA Workshop. (Best Paper)
    16. Paper
  16. Xin Wang, Yudong Chen, Wenwu Zhu. A Survey on Curriculum Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
    17. Paper
  17. Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu. Intention-aware Sequential Recommendation with Structured Intent Transition. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021.
    18. Paper
  18. Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu. Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Transactions on Information Systems (TOIS) 2021.
    19. Paper
  19. Puti Yan, Xinrui Liu, Feng Wang, Chengfei Yue, Xin Wang. LOVD: Land Vehicle Detection in Complex Scenes of Optical Remote Sensing Image. IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2021.
    20. Paper Code
  20. 朱文武, 王鑫. 三元空间大数据网络关联表征. 中国科学：信息科学 2021.
    Wenwu Zhu, Xin Wang. Cyber-physical-human Big Data Correlational Representation. SCIENTIA SINICA Informationis 2021.
    21. Paper

2020

  1. Guohao Li, Xin Wang, Wenwu Zhu. Boosting Visual Question Answering with Context-aware Knowledge Aggregation. ACM Multimedia 2020.
    2. Paper
  2. Guangyao Shen, Xin Wang, Xuguang Duan, Hongzhi Li, Wenwu Zhu. MEmoR: A Dataset for Multimodal Emotion Reasoning in Videos. ACM Multimedia 2020.
    3. Paper Dataset (OneDrive) Dataset (Baidu)
  3. Bin Huang, Siao Tang, Guangyao Shen, Guohao Li, Xin Wang, Wenwu Zhu. Commonsense Learning: An Indispensable Path towards Human-centric Multimedia. ACM Multimedia 2020 HuMA Workshop.
    4. Paper
  4. Yaoyuan Liang, Xin Wang, Xuguang Duan, Wenwu Zhu. Multi-Modal Contextual Graph Neural Network for Text Visual Question Answering. IEEE ICPR 2020.
    5. Paper
  5. Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu. Disentangled Self-Supervision in Sequential Recommenders. ACM KDD 2020.
    6. Paper
  6. Yuhang Jiang, Xin Wang, Wenwu Zhu. Hardware-aware Transformable Architecture Search with Efficient Search Space. IEEE ICME 2020.
    7. Paper
  7. Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang. DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI 2020.
    8. Paper
  8. Wenwu Zhu, Xin Wang, Wen Gao. Multimedia Intelligence: When Multimedia Meets Artificial Intelligence. IEEE Transactions on Multimedia (TMM) 2020.
    9. Paper
  9. Wenwu Zhu, Xin Wang, Peng Cui. Deep Learning for Learning Graph Representations. Deep Learning: Concepts and Architectures. Published by Springer, Cham. 2020.
    10. Paper
  10. Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng. SCHAIN-IRAM: An Efficient and Effective Semi-supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2020.
    11. Paper

2019

  1. Xin Wang, Wenwu Zhu, Chenghao Liu. Semi-supervised Deep Quantization for Cross-modal Search. ACM Multimedia 2019.
    2. Paper
  2. Guohao Li, Xin Wang, Wenwu Zhu. Perceptual Visual Reasoning with Knowledge Propagation. ACM Multimedia 2019.
    3. Paper
  3. Yue Liu, Xin Wang, Yitian Yuan, Wenwu Zhu. Cross-Modal Dual Learning for Sentence-to-Video Generation. ACM Multimedia 2019.
    4. Paper
  4. Xin Wang, Wenwu Zhu, Chenghao Liu. Social Recommendation with Optimal Limited Attention. ACM KDD 2019.
    5. Paper
  5. Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, C.H. Steven Hoi. Compositional Coding for Collaborative Filtering. SIGIR 2019.
    6. Paper
  6. Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang. Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. IJCAI 2019.
    7. Paper
  7. Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu. Disentangled Graph Convolutional Networks. ICML 2019.
    8. Paper
  8. Chenghao Liu#, Xin Wang#, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C.H. Hoi. Discrete Social Recommendation. AAAI 2019.
    9. Paper
  9. Wenwu Zhu, Xin Wang, Hongzhi Li. Multi-modal Deep Analysis for Multimedia. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2019.
    10. Paper

2018 and Before

  1. Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang. PRRE: Personalized Relation Ranking Embedding for Attributed Networks. ACM CIKM 2018.
    2. Paper
  2. Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester. Joint User- and Event- Driven Stable Social Event Organization. WWW 2018.
    3. Paper
  3. Xin Wang, Steven C.H. Hoi, Chenghao Liu, Martin Ester. Interactive Social Recommendation. ACM CIKM 2017.
    4. Paper
  4. Xin Wang, Steven C.H. Hoi, Martin Ester, Jiajun Bu, Chun Chen. Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. WWW 2017.
    5. Paper
  5. Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng. Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW 2017.
    6. Paper
  6. Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen. Social Recommendation with Strong and Weak Ties. ACM CIKM 2016.
    7. Paper
  7. Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu. Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization. AAAI 2016.
    8. Paper
  8. Xin Wang, Can Wang, Li Shang, Zhanli Sun. Dispersion Constraint Based Non-negative Sparse Coding Model. Neural Processing Letters 2015.
    9. Paper
  9. Li Shang, Xin Wang, Yan Zhou, Zhanli Sun. A new ISR method based on the combination of modified K-SVD model and RAMP algorithm. Neurocomputing 2015.
    10. Paper
  10. Zhi Yu, Can Wang, Jiajun Bu, Xin Wang, Yue Wu, Chun Chen. Friend Recommendation with Content Spread Enhancement in Social Networks. Information Sciences 2015.
    11. Paper

Extracurricular Activities

Top Hobbies

98%

Bassoon

Chief Bassoon Player of Wen Qin Symphony Orchestra in Zhejiang University, China.
90%

Accordion

Degree 10 Certification (highest) of accordion performance in Tianjin Conservatory of Music, China.
85%

Saxophone

Degree 6 Certification of saxophone performance in Tianjin Conservatory of Music, China.

Other Hobbies

Piano Basketball Table Tennis Badminton Swimming
Skating Skiing Hiking

I occasionally play piano or basketball in spare time, bellow are some of my recent videos just for fun.