About me

I am a final-year undergraduate student major in Computer Science at Tongji University, where I worked closely with Prof. Yin Wang. I am a teaching assistant for Prof. Yin Wang’s Deep Learning Course on Fall 2019, Spring 2020 and Fall 2020. I started my internship at Megvii Research Nanjing on Feb 2020 where I worked closely with Dr. Xin Jin and Cui Quan. I also have a close research relationship with Rui Zhu, Xin Wen and Siwei Yang.

From My Chemical Romance - Welcome To The Black Parade

When I was a young boy, my father

Took me into the city to see a marching band

He said, "Son, when you grow up would you be

The savior of the broken, the beaten and the damned?"

He said, "Will you defeat them? Your demons

And all the non-believers, the plans that they have made?

Because one day, I'll leave you a phantom

To lead you in the summer to join the black parade"

Research Topics

  • Self-Supervised Learning
  • Semi-Supervised Learning


Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation Bingchen Zhao, Kai Han. NeurIPS 2021 [slides]

Improving Contrastive Learning by Visualizing Feature Transformation Rui Zhu*, Bingchen Zhao*, Jingen Liu, Zhenglong Sun, Chang Wen Chen. ICCV 2021 Oral! (210/6236==3%). [code][slides]

Temporal Context Aggregation for Video Retrieval with Contrastive Learning, Jie Shao*, Xin Wen*, Bingchen Zhao, Xiangyang Xue. WACV 2021. [code] [slides]

Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization, Siwei Yang*, Shaozuo Yu*, Bingchen Zhao*, Yin Wang. (*equal contribution) CVPR-W 2020. [code] [slides]

Distilling Visual Priors from Self-Supervised Learning Bingchen Zhao, Xin Wen. ECCV-W 2020 [code] [slides]

Characterizing Robotic and Organic Query in SPARQL Search Sessions, Xinyue Zhang, Meng Wang, Bingchen Zhao, Ruyang Liu, Jingyuan Zhang, Han Yang. APWeb 2020.


ROBIN: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski. [website]

Academic Services

Reviewer for ICLR 2022 ICCV 2021 CVPR 2021 WACV 2021 SIGSPATIAL 2020 FGVC 8 TIP.

Academic Awards

  • 1st place in iWildCam2020 challenge of FGVC7 workshop CVPR2020 as core team member. [certificate]
  • 2nd place in ECCVW2020 VIPriors image classification challenge as team leader. [link]
  • 8th place in the 1st Agriculture-Vision Challenge CVPR2020 as team leader. [link]
  • Top undergraduate prize at SpaceNet7 challenge NeurIPS 2020 as team leader. [link]
  • First prize of National Olympiad in Informatics in Provinces. NOIP2015
  • Bronze medal of Asia-Pacific Informatics Olympiad. APIO2016


[Sep 2021] One paper accepted to NeurIPS 2021!

[Jul 2021] One paper accepted to ICCV 2021!!! and it is Oral!! Acceptance Rate (210/6236) 3%!

[Jun 2021] One first authored paper submitted to NeurIPS 2021, fingers crossed!

[Mar 2021] Three (co-)first authored paper submitted to ICCV2021, fingers crossed!

[Dec 2020] Our team receives the Top Undergraduate Prize in the NeurIPS 2020 SpaceNet7 challenge! [link].

[Nov 2020] Two first authored paper submitted to CVPR 2021, fingers crossed!.

[Jul 2020] Our team ranked 2nd in the ECCV 2020 workshop VIPriors Image Classification challenge, checkout our challenge [report] and [code]! [link].

[Jun 2020] Our team at Megvii Research Nanjing wins the 1st place of iWildCam2020 challenge of FGVC7 workshop inconjunction with CVPR2020 [certificate].

[Apr 2020] I have one paper accepted by APWeb 2020 conference.

[Apr 2020] Our team ranked 8th out of 57 teams at the 1st Agriculture-Vision Challenge, our method is described in the challenge paper [here] and our corresponding paper [here].

[Apr 2020] I have one paper accepted by CVPR2020 workshop proceedings.

[Feb 2020] I will continue to be the TA for Prof. Yin Wang’s Deep Learning Course

[Sep 2019] I will be the TA for Prof. Yin Wang’s Deep Learning Course