About Me

Hello, I'm Cheng Zheng! I received the Ph.D. in Electrical and Computer Engineering from University of California, Los Angeles. I was advised by Professor Wei Wang. My research interests include graph mining, social network analysis and deep learning.

• Robust Graph Representation Learning via Neural Sparsification
  Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen and Wei Wang
  ICML 2020
  [Paper] [PDF] [BibTex]
• On-demand Influencer Discovery on Social Media
  Cheng Zheng, Qin Zhang, Sean D Young and Wei Wang
  CIKM 2020
  [Paper] [PDF] [BibTex]
• Social Media User Geolocation via Hybrid Attention
  Cheng Zheng, Jyun-Yu Jiang, Yichao Zhou, Sean Young and Wei Wang
  SIGIR 2020
  [Paper] [PDF] [BibTex]
• Node Classification in Temporal Graphs through Stochastic Sparsification and Temporal Structural Convolution
  Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen and Wei Wang
  ECML-PKDD 2020
  [PDF] [BibTex]
• Measuring Time-Sensitive and Topic-Specific Influence in Social Networks with LSTM and Self-Attention
  Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D Young and Wei Wang
  IEEE Access
  [Paper] [PDF] [BibTex]
• Learning Deep Network Representations with Adversarially Regularized Autoencoders
  Wenchao Yu, Cheng Zheng, Wei Cheng, Charu Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen and Wei Wang
  SIGKDD 2018
  [Paper] [PDF] [Code] [BibTex] [Video]
• Strong Rashba-Edelstein Effect-Induced Spin–Orbit Torques in Monolayer Transition Metal Dichalcogenide/Ferromagnet Bilayers
  Shao, Q., Yu, G., Lan, Y.W., Shi, Y., Li, M.Y., Cheng Zheng, Zhu, X., Li, L.J., Amiri, P.K. and Wang, K.L.
  Nano letters 2016
  [Paper][BibTex]
• Spin-torque ferromagnetic resonance measurements utilizing spin Hall magnetoresistance in W/Co40Fe40B20/MgO structures.
  He, C., Navabi, A., Shao, Q., Yu, G., Wu, D., Zhu, W., Cheng Zheng, Li, X., He, Q.L., Razavi, S.A. and Wang, K.L.
  Applied Physics Letters 2016
  [Paper][BibTex]

• Ph.D. in Electrical and Computer Engineering, UCLA, Sep. 2015 - Sep. 2020.
• Master of Science in Computer Science, UCLA, April 2017 - June 2018.
• Bachelor of Science in Physics, Tsinghua University , Sep. 2011 - July 2015.

• Software Developer Intern at Google, June 2020 - Sep. 2020.
• PhD Software Engineer Intern at Facebook, June 2019 - Aug. 2019.
• Summer Research Assistant at NEC Laboratories America, June 2018 - Nov. 2018.
• Teaching Assistant of CS131 (Programming Languages), UCLA, Spring 2020.
• Research Assistant at Scalable Analytics Institute, UCLA, Apr. 2017 - Sep. 2020.
• Teaching Assistant of ECE239AS (Neural Networks and Deep Learning), UCLA, Winter 2018, Winter 2020.
• Undergraduate researcher at Xue Group, Tsinghua University, June 2013 - July 2015.

• chengzheng@cs.ucla.edu