CV

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Education

• Ph.D. in Computer Science, University of California Los Angeles, 2019 (Expected)
• M.S. in Computer Science, Institute of Computing Technology, Chinese Academy of Sciences, 2014
• B.Eng. in Software Engineering, Wuhan University, 2011

Research and Project Experience

• Research Assistant, University of California Los Angeles, Sept. 2014
  • Modeling co-evolution across multiple networks. Work published in SDM
    • Proposed a shared temporal matrix factorization framework to model co-evolution across multiple networks.
    • Demonstrated the benefits of this approach on the tasks including cross-network link prediction and community detection.
  • Link prediction with spatial and temporal consistency in dynamic networks. Work published in IJCAI
    • Proposed a link prediction model with spatial and temporal consistency, to predict links in a sequence of networks over time.
    • The proposed model characterized the network dynamics as a function of time, which integrates the spatial topology of network at each timestamp and the temporal network evolution. Advertiser competition analysis in search advertising. Work published in ICDM
  • Modeled the advertiser competition network, and explored the relationship between competition network and search provider’s revenue

Publications

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

Yu, Wenchao, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, and Wei Wang. "NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks." In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2663-2671. ACM, 2018.

Learning Deep Network Representations with Adversarially Regularized Autoencoders

Yu, Wenchao, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, and Wei Wang. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp. 2663-2671. ACM, 2018.

Modeling Co-Evolution Across Multiple Networks

Yu, Wenchao, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, and Wei Wang. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp. 2663-2671. ACM, 2018.

Teaching

Teaching experience 1

Teaching experience 2

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Service

• Currently signed in to 43 different slack teams