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Brief Biography

I am currently a Visiting Professor (full-time & fixed-term faculty member) at School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. I am also affiliated with RIKEN Center for Advanced Intelligence Project, Japan, as a Visiting Scientist (part-time). I was a Professor at College of Computer Science, Chongqing University, China. My main research interests lie in machine learning, data mining, and artificial intelligence, with a particular emphasis on weakly supervised machine learning and trustworthy machine learning. My long-term goal is to build effective, reliable, and explainable machine learning systems, which can learn from various types of complex data with limited supervision information.

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Top News

• [Mar 2024] Invited to serve as an Area Chair for NeurIPS'24.

• [Dec 2023] Invited to serve as an SPC member for IJCAI'24.

See more news here.

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Research Interests

My general research interests lie in machine learning and data science, with a particular emphasis on the following topics:

• Weakly Supervised Learning:
  - Partial-Label Learning [AAAI'19, ICML'20a, NeurIPS'20, ICLR'22a, KDD'22, NeurIPS'22a, ICLR'22b, TPAMI'23, KDD'23, ICCV'23a, NeurIPS'23a]
  - Noisy-Label Learning [CVPR'20, IJCAI'20, AAAI'22a, TMLR'22, TNNLS'22, CVPR'23, ICML'23a, IJCAI'23 , ICCV'23b]
  - Complementary-Label Learning [ICML'20b, IJCAI'21, AISTATS'23]
  - Weakly Supervised Binary Classification [ICML'21a, ICML'21b, ICLR'22c, NeurIPS'23b]
  - Learning from Aggregate Observations [KDD'21, TKDE'23, ICML'23b]
  - Weakly Supervised Regression [AAAI'23a, ICML'23c]
  

• Trustworthy Deep Learning:
  - Adversarial Machine Learning [NeurIPS'21a, AAAI'22b, NeurIPS'22c]
  - Out-of-Distribution Data [ICML'22a, ICML'22b, NeurIPS'23c]
  - Learning with Rejection [NeurIPS'22b, NeurIPS'23d, NeurIPS'23e]
  - Model Calibration [NeurIPS'21b]
  

Recently, I am interested in foundation models with various fine-tuning strategies and would like to investigate the above research topics with foundation models.

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Education

• Ph.D. in Computer Science. Nanyang Technological University, Singapore (Aug 2017 - Dec 2020)

Submitted thesis in Aug 2020, left NTU in Dec 2020, defended thesis in Jan 2021, received degree in Feb 2021.
NTU SCSE Outstanding PhD Thesis Award Runner-Up (in the situation of early graduation). Supervised by Prof. Bo An.



• B.E. in Computer Science. Southwest University, Chongqing, China (Sep 2013 - Jul 2017)

Outstanding Graduate of Southwest University.

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Honors & Awards

• [2022] Champion in the Learning and Mining with Noisy Labels Challenge at IJCAI-ECAI 2022.

• [2022] Forbes 30 Under 30 Asia.

• [2022] ICLR 2022 Outstanding Paper Award Honorable Mention.

• [2021] Forbes 30 Under 30 China.

• [2021] NTU SCSE Outstanding PhD Thesis Award Runner-up (in the situation of early graduation).