Guangxiang Zhu
Institute for Interdisciplinary Information Sciences


I am a Ph.D. student at Institute for Interdisciplinary Information Sciences Tsinghua University advised by Prof. Chongjie Zhang. 


Research Interests


My research interests include reinforcement learning and deep learning. My main goal is to improve the sample efficiency of reinforcement learning via efficient representation learning, episodic control, and model-based approaches.
 


Selected Awards


1. Top 10 Breakthroughs of 2018 in Chinese Bioinfomatics: Reconstructing spatial organizations of chromosomes through manifold learning [Zhu et al. 2018], awarded by Genomics Proteomics and Bioinformatics (GPB).

See Tsinghua News:  

http://news.tsinghua.edu.cn/publish/thunews/10303/2019/20190215120811539124055/20190215120811539124055_.html 

2. National Scholarship (top 1%) at Tsinghua University, 2019

3. Champion​ of Shandong Division in the Fourth China "Internet Plus" Student Innovation and Entrepreneurship Competition, 2018

4. Computing Accreditation for Professionals (Ranking: 5/372) certificated by China Computer Federation (CCF), 2015

5. Tsinghua-Baidu Future Star Third-Class Scholarship, 2018



Publications


1. Guangxiang Zhu*, Zichuan Lin*, Guangwen Yang, Chongjie Zhang. Episodic Reinforcement Learning with Associative Memory. Eighth International Conference on Learning Representations (ICLR). 2020.

2. Guangxiang Zhu*, Jianhao Wang*, Zhizhou Ren*, Zichuan Lin, Chongjie Zhang. Object-Oriented Dynamics Learning through Multi-Level Abstraction. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI). 2020. 

3. Zhizhou Ren, Guangxiang Zhu, Beining Han, Jianglun Chen and Chongjie Zhang. Towards Understanding Value Function Approximation: Rethinking the Effects of Twin Q-Networks. Under Review, 2020

4. Zichuan Lin, Li Zhao, Jiang Bian, Guangxiang Zhu, Tao Qin, Guangwen Yang. Gamma Estimation for Variance Reduction in Deep Reinforcement Learning. Under Review. 2020.

5. Tongyu Wang, Shangmei Zhao, Guangxiang Zhu, Haitao Zheng. A Machine Learning-Based Early Warning System for Systemic Banking Crises. Under Review, 2020

6. Abbas Ahmed, Xuan He, Jing Niu, Bin Zhou, Guangxiang Zhu, Tszshan Ma, Juntao Gao, Michael Zhang, Jianyang Zeng. Integrating Hi-C and FISH data for modeling 3D organizations of chromosomes. Nature Communications. 2019. [Impact Factor: 12.343]

7. Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang. Context-Aware Policy Reuse. International Conference on Autonomous Agents and MultiAgent Systems (AAMAS). 2019.

8. Guangxiang Zhu, Zhiao Huang, Chongjie Zhang. Object-Oriented Dynamics Predictor. Advances in Neural Information Processing Systems (NeurIPS). 2018.

9. Guangxiang Zhu, Wenxuan Deng, Hailin Hu, Rui Ma, Sai Zhang, Jinglin Yang, Jian Peng, Tommy Kaplan, Jianyang Zeng. Reconstructing spatial organizations of chromosomes through manifold learning. Nucleic Acids Research (NAR) 46(8) e50-e50. 2018. [Impact Factor: 11.561]

10. Jianbo Guo*, Guangxiang Zhu*, Jian Li. Generative Adversarial Mapping Networks. arXiv preprint arXiv:1709.09820. 2017.

* indicates equal contribution.

 

Experience and Services


1. AAAI 2020 PC Member, IJCAI-PRICAI 2020 PC Member

2. Class President, Party Branch Vice Secretary

3. Teaching Assistant for Artificial Intelligence, Deep Reinforcement Learning, C Programming and Computational Biology