Dong Xing

The State Key Lab of Brain-Machine Intelligence
College of Computer Science and Technology
Zhejiang University
Hangzhou, China

E-mail: dxing.cs {AT} gmail.com
[Goolge Scholar] [DBLP]

Biography

I'm a PhD student in Computer Science at Zhejiang University since Sept. 2019, advised by Prof. Gang Pan. I am also very honored to work with Prof. Qian Zheng. I obtained my bachelor's degree in Computer Science at Shanghai Jiao Tong University and my master's degree in Computer Science at Zhejiang University. Before my PhD studies, I worked at Alibaba as an algorithm engineer, led by Dr. Hongxia Yang. From Sept. 2022 to Sept. 2023, I am a joint PhD student at Nanyang Technological University, under the supervision of Prof. Bo An.

My recent research primarily focuses on deep reinforcement learning and its applications, particularly in the realm of robust multi-agent cooperation. I have devised solutions aimed at enhancing the diversity of teamwork, optimizing their functionality on resource-constrained platforms, and elucidating their causal interpretations. Additionally, I am also interested in both bio-based and bio-inspired computational methodologies.

I am currently on the 2023-2024 industrial/academic job market, looking for job opportunities in the field of reinforcement learning/machine learning and their applications. Please feel free to contact me if you are interested!

News

• [2023.09] One paper was accepted by NeurIPS 2023.
• [2023.06] I had an online talk at RLChina about causal inference in multi-agent teamwork. [video (in Chinese)]
• [2023.04] One paper was accepted by ICML 2023.
• [2023.01] One paper was accepted by AAMAS 2023.
• [2022.04] One paper was accepted by IJCAI 2022.
• [2022.01] One paper was accepted by ICASSP 2022.
• [2021.12] I had an online talk at CCF HHME 2021 about multi-agent teamwork. [link]
• [2021.11] I won the most academic value award at the Doctoral Student Innovation Forum of Zhejiang University. [link]
• [2021.04] Two papers were accepted by IJCAI 2021.
• [2020.01] One paper was accepted by TNNLS.
• [2019.11] One paper was accepted by AAAI 2020.

Publications

• Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An. Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. NeurIPS 2023.
• Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan. Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. ICML 2023.
• Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu. Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023 (oral).
• Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan. TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. IJCAI 2022 (long oral, ~4%).
• Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan. Event-Based Multimodal Spiking Neural Network with Attention Mechanism. ICASSP 2022.
• Gang Pan, Qianhui Liu, Lei Jiang, Jie Cheng, Haibo Ruan, Dong Xing, Huajin Tang, De Ma. Object Recognition Method and Apparatus. US Patent, 2022.
• Dong Xing, Qianhui Liu, Qian Zheng, Gang Pan. Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork. IJCAI 2021 (oral).
• Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan. Event-based Action Recognition Using Motion Information and Spiking Neural Networks. IJCAI 2021 (oral).
• Gang Pan, Dong Xing, Cunle Qian, Yiwen Wang, Qiaosheng Zhang, Yaoyao Hao, Yueming Wang, Xiaoxiang Zheng, Zhaohui Wu. Method for Prediction of Cortical Spiking Trains. US Patent, 2021.
• Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan. Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. AAAI 2020 (oral).
• Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang. Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. IEEE TNNLS 2020.
• Dong Xing, Cunle Qian, Hongbao Li, Shaomin Zhang, Qiaosheng Zhang, Yaoyao Hao, Xiaoxiang Zheng, Zhaohui Wu, Yiwen Wang, Gang Pan. Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM. IEEE TCDS 2018.
• Cunle Qian, Xuyun Sun, Shaomin Zhang, Dong Xing, Hongbao Li, Xiaoxiang Zheng, Gang Pan, Yiwen Wang. Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model. Neural Computation 2018.
• Dong Xing, Xianzhong Wang, Hongtao Lu. Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encoding. ACCV Workshops 2014.
• Weichen Xue, Dong Xing, Ming Lin, Jing Wang, Bin Sheng, Lizhuang Ma. Depth-of-Field Rendering with Saliency-Based Bilateral Filtering. CAD/Graphics 2013.

Selected Honors and Awards

[2023.02] Longfor Scholarship

[2022.12] Award of Honor for Graduate of Zhejiang University

[2022.10] Academic Rising Star for PhD Candidates of Zhejiang University

[2022.02] Guorui Scholarship

[2021.12] Graduate of Merit/Triple A graduate, Zhejiang University

[2021.12] Award of Honor for Graduate of Zhejiang University

[2021.12] Chen Tianzhou Scholarship

[2021.11] Outstanding Graduate Student of CCNT, Zhejiang University

[2020.12] Graduate of Merit/Triple A graduate, Zhejiang University

[2020.12] Award of Honor for Graduate of Zhejiang University

[2019.09] Doctoral Freshman Scholarship of Zhejiang University

Academic Service

Reviewer for:

International Conference on Learning Representations, ICLR

Conference on Neural Information Processing Systems, NeurIPS

IEEE International Joint Conference on Neural Network, IJCNN

International Conference on Neural Information Processing, ICONIP

IEEE Transactions on Neural Networks and Learning Systems, TNNLS

IEEE Transactions on Emerging Topics in Computational Intelligence, TETCI

KSII Transactions on Internet and Information Systems, TIIS

Computers, Materials & Continua, CMC