Xin Wang

王鑫

Assistant Professor

Dr. Xin Wang is currently an Assistant 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 media big data analysis, cross-modal intelligence and recommendation in social media.

News

Work Experiences

Assistant Professor
2020.1 - Present

Research Area

  • Media Big Data Analysis
  • Dataming
  • Cross-media Intelligence
Postdoc Researcher
2017.7 - 2019.12

Advisor: Dr. Wenwu Zhu

Visiting Scholar
2016.8 - 2017.5

DeviantArt

Vancouver
Data Scientist Intern
2014.5 - 2014.10

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

Education

Ph.D. Computer Science and Techonology

2011.9 - 2017.7
Supervisor: Dr. Chun Chen

Ph.D. Computing Science


2013.9 - 2016.7
Supervisor: Dr. Martin Ester

B.E. Computer Science and Techonology

2007.9 - 2011.7

Honors & Awards

Professional Services

  • Program Committee Member: ICML 2020, IJCAI 2020, AAAI 2020, ACM KDD 2019, ACM CIKM 2019
  • Finance Chair: ACM CIKM 2019
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Talks

  • Tutorial on "Out-of-distribution Generalization and Its Applications for Multimedia" in ACM Multimedia 2021.
  • ------ Xin Wang, Peng Cui, Wenwu Zhu
  • Tutorial on "Automated Machine Learning on Graph" in ACM KDD 2021.
  • ------ Xin Wang, Wenwu Zhu
  • Tutorial on "Meta-learning and Automated Machine Learning: Approaches and Applications" in IJCAI 2020.
  • ------ Xin Wang, Huaxiu Yao, Ying Wei, Zhenhui (Jessie) Li, Wenwu Zhu
  • Tutorial on "Multimedia Intelligence: When Multimedia Meets Artificial Intelligence" in ACM Multimedia 2020.
  • ------ Xin Wang, Wenwu Zhu , Yonghong Tian, Wen Gao
  • Tutorial on "Meta-learning and Automated Machine Learning for Multimedia" in ACM Multimedia 2019.
  • ------ Wenwu Zhu, Xin Wang, Wenpenng Zhang

Selected Publications

Books and Book Chapters

  1. Book: Wenwu Zhu, Xin Wang. Automated Machine Learning and Meta-Learning for Multimedia. ISBN: 978-3-030-88131-3, Springer 2021.
  2. Link
  3. Book Chapter: Wenwu Zhu, Xin Wang, Peng Cui. Deep Learning for Learning Graph Representations. Springer 2020.
  4. Link

Journal and Conference Papers

2022

  1. Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong, Wenwu Zhu. Multimodal Continual Graph Learning with Neural Architecture Search. WWW 2022.
  2. Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu. Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum. AAAI 2022.

2021

  1. Xin Wang, Shuyi Fan, Kun Kuang, Wenwu Zhu. Explainable Automated Graph Representation Learning with Hyperparameter Importance. ICML 2021.
  2. Chaoyu Guan, Xin Wang, Wenwu Zhu. AutoAttend: Automated Attention Representation Search. ICML 2021.
  3. Yijian Qin, Xin Wang, Zeyang Zhang, Wenwu Zhu. Graph Differentiable Architecture Search with Structure Learning. NeurIPS 2021.
  4. Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu. Disentangled Contrastive Learning on Graphs. NeurIPS 2021.
  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. 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. 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
  9. Ziwei Zhang#, Xin Wang#, Wenwu Zhu. Automated Machine Learning on Graphs: A Survey. IJCAI 2021.
  10. Xin Wang#, Hong Chen#, Wenwu Zhu. Multimodal Disentangled Representation for Recommendation. IEEE ICME 2021.
  11. Yijian Qin, Xin Wang, Peng Cui, and Wenwu Zhu. GQNAS: Graph Q Network for Neural Architecture Search. IEEE ICDM 2021.
  12. Yue Liu, Xin Wang, Xue Xu, Jianbo Yang, Wenwu Zhu. Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling. ACM CIKM 2021.
  13. Zhikun Wei, Xin Wang, Wenwu Zhu. AutoIAS: Automatic Integrated Architecture Searcher For Click-Trough Rate Prediction. ACM CIKM 2021.
  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. Xin Wang, Yudong Chen, Wenwu Zhu. A Survey on Curriculum Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
  16. 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.

2020

  1. Guohao Li, Xin Wang, Wenwu Zhu. Boosting Visual Question Answering with Context-aware Knowledge Aggregation. ACM Multimedia 2020.
  2. Guangyao Shen, Xin Wang, Xuguang Duan, Hongzhi Li, Wenwu Zhu. MEmoR: A Dataset for Multimodal Emotion Reasoning in Videos. ACM Multimedia 2020.
  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.
  4. Yaoyuan Liang, Xin Wang, Xuguang Duan, Wenwu Zhu. Multi-Modal Contextual Graph Neural Network for Text Visual Question Answering. IEEE ICPR 2020.
  5. Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu. Disentangled Self-Supervision in Sequential Recommenders. ACM KDD 2020.
  6. Yuhang Jiang, Xin Wang, Wenwu Zhu. Hardware-aware Transformable Architecture Search with Efficient Search Space. IEEE ICME 2020.
  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. Wenwu Zhu, Xin Wang, Wen Gao. Multimedia Intelligence: When Multimedia Meets Artificial Intelligence. IEEE Transactions on Multimedia 2020.
  9. Wenwu Zhu, Xin Wang, Peng Cui. Deep Learning for Learning Graph Representations. Deep Learning: Concepts and Architectures. Published by Springer, Cham. 2020.
  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.

2019

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

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. Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester. Joint User- and Event- Driven Stable Social Event Organization. WWW 2018.
  3. Xin Wang, Steven C.H. Hoi, Chenghao Liu, Martin Ester. Interactive Social Recommendation. ACM CIKM 2017.
  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. Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng. Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW 2017.
  6. Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen. Social Recommendation with Strong and Weak Ties. CIKM 2016.
  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. Xin Wang, Can Wang, Li Shang, Zhanli Sun. Dispersion Constraint Based Non-negative Sparse Coding Model. Neural Processing Letters 2015.
  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. Zhi Yu, Can Wang, Jiajun Bu, Xin Wang, Yue Wu, Chun Chen. Friend Recommendation with Content Spread Enhancement in Social Networks. Information Sciences 2015.

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.