Haofan Wang

Seeking for a full-time job
School Email: haofanw (at) alumni.cmu.edu
Personal Email: haofanwang.ai (at) gmail.com
Research Interests
  • Computer Vision
  • Graph Neural Network
  • Explainable Neural Network
  • Vision Reasoning and Graph Knowledge
Biography

Haofan Wang (王浩帆) graduated from Carnegie Mellon University in December 2020, advised by Dr. Piotr (Peter) Mardziel. Previously, he worked as a research intern with Prof. Bernard Ghanem at KAUST (2020 Summer) and Prof. Xia (Ben) Hu at Texas A&M University (2019 Summer). He obtained undergraduate degree from Dalian Maritime University in June 2019 and exchanged at UC Berkeley in 2017 Fall. He also spent time at OpenMined, RealAI, Everspry, Horizon Robotics and Institute of Software Chinese Academy of Sciences.

Currently, he interns at MMU department of Kuaishou supervised by Dr. Debing Zhang on multi-modal matching. Open to research cooperations or full-time opportunities, if you are interested in, feel free to drop me an email!

News

[11/2020]: One paper is accepted in SpicyFL workshop at NeurIPS 2020!

[09/2020]: One paper accepted to NeurIPS 2020!

[04/2020]: One paper accepted to CVPR 2020 Workshop!

Publications
[scipy]
Tushar Semwal, Haofan Wang*, Chinnakotla Krishna Teja Reddy.
NeurIPS-SpicyFL 2020, Poster
[Paper]
[smooth]
[Score-CAM]
Haofan Wang*, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel and Xia (Ben) Hu
IEEE CVPR 2020 Workshop on Fair, Data Efficient and Trusted Computer Vision
[Project Page] [Paper] [Slides] [News]
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