ZIWEI ZHANG (CV)

Contact

Lab of Media and Network, Department of Computer Science and Technology, Tsinghua University

Address: G-501, New Main Building, Beihang University, Beijing, P.R.China

Email: XXX at YYY dot edu dot cn, where XXX = zwzhang, YYY = buaa

Education

B.S. in Mathematics and Physics, Department of Physics, Tsinghua University, Beijing, China, 2016
- Thesis: Non-transitive Graph Embedding
- Advisor: Professor Wenwu Zhu and Professor Peng Cui
Ph. D in Computer Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China, 2021
- Thesis: Structure-Preserving Network Representation Learning: Theories and Methods
- Advisor: Professor Wenwu Zhu

Experiences

Sep 2014 – Present Lab of Media and Network, Tsinghua University
- Work on topics related to network embedding (a.k.a. network representation learning), especially focusing on developing scalable and efficient embedding algorithms for large-scale networks.
Jul 2019 - Sep 2019, Innovation Center, Weichai Power
- Investigate and literature survey how on to apply machine learning in Weichai Power.
Jul 2018 - Oct 2018, Intern at Data Application Team, WeChat Group (WXG), Tencent
- Work on topics related to applying network embedding into analyzing WeChat data.
Jan 2016 - Feb 2016, University of Sydney
- Sustainable development, Young Leaders Programs(YLP)
Jul 2015 - Aug 2015, University of British Columbia (UBC)
- Applied Science in Vancouver Summer Program (VSP)
Dec 2013 - May 2014, Cluster-Based Text Data Cleaning
- Propose and implement a cluster-based algorithm to detect and correct false address data provided by DATUM DATA Co., LTD.

Skills

English: academic reading & writing, fluent in daily communication.
Programming: proficient in Python, MATLAB, R, Latex, familiar with C/C++, Java.

Publications

Asymmetric Transitivity Preserving Graph Embedding

Ou, Mingdong, et al. "Asymmetric transitivity preserving graph embedding." Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2016.

TIMERS Error Bounded SVD Restart on Dynamic Networks

Zhang, Ziwei, et al. "TIMERS: Error-Bounded SVD Restart on Dynamic Networks." Proceedings of the 32nd AAAI Conference on Artificial Intelligence (2018).

High-order Proximity Preserved Embedding For Dynamic Networks

Zhu, Dingyuan, et al. "High-order Proximity Preserved Embedding For Dynamic Networks." IEEE Transactions on Knowledge and Data Engineering (2018).

Power-law Distribution Aware Trust Prediction

Wang, Xiao, et al. "Power-law Distribution Aware Trust Prediction." IJCAI. 2018.

Arbitrary-Order Proximity Preserved Network Embedding

Zhang, Ziwei, et al. "Arbitrary-Order Proximity Preserved Network Embedding." Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2018.

Billion-scale Network Embedding with Iterative Random Projection

Zhang, Ziwei, et al. "Billion-scale Network Embedding with Iterative Random Projection." Data Mining (ICDM), 2018 IEEE International Conference on. IEEE, 2018.

Robust Graph Convolutional Networks Against Adversarial Attacks

Zhu, Dingyuan, et al. "Robust Graph Convolutional Networks Against Adversarial Attacks". Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2019.

Talks

Asymmetric Transitivity Preserving Graph Embedding

August 17, 2016

Oral Presentation at KDD, 2016, San Francisco, CA, USA

Some Recent Works on Large-Scale Network Embedding

June 29, 2018

Talk at Special Interesting Group on Network Analysis and Learning (SigNAL), Key Laboratory of Network Data Science and Technology, CAS, Beijing, China