Computer system model in college examination. - Biao Li; Teng Gao; Dong Xing; Yingnan Wang; Shengxin Guan (FSKD, 2012)

Depth-of-Field Rendering with Saliency-Based Bilateral Filtering. - Weichen Xue; Dong Xing; Ming Lin; Jing Wang; Bin Sheng 001; Lizhuang Ma (CAD/Graphics, 2013)

Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encoding. - Dong Xing; Xianzhong Wang; Hongtao Lu (ACCV Workshops (1), 2014)

Cardiac arrhythmia visualization in a virtual heart for electrophysiology education. - Dong Xing; Jerzy W. Rozenblit; Samantha Bernau; Peter Ott (SummerSim, 2014)

420 GHz subharmonic mixer based on heterogeneous integrated Schottky diode. - Ge Liu; Bo Zhang 031; Li-Sen Zhang; Dong Xing; Junlong Wang; Yong Fan 003 (IEICE Electron. Express, 2017)

Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model. - Cunle Qian; Xuyun Sun; Shaomin Zhang; Dong Xing; Hongbao Li; Xiaoxiang Zheng; Gang Pan 001; Yiwen Wang 002 (Neural Comput., 2018)

Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM. - Dong Xing; Cunle Qian; Hongbao Li; Shaomin Zhang; Qiaosheng Zhang; Yaoyao Hao; Xiaoxiang Zheng; Zhaohui Wu 001; Yiwen Wang 002; Gang Pan 001 (IEEE Trans. Cogn. Dev. Syst., 2018)

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. - Qianhui Liu; Haibo Ruan; Dong Xing; Huajin Tang; Gang Pan 001 (AAAI, 2020)

Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. - Qianhui Liu; Gang Pan 001; Haibo Ruan; Dong Xing; Qi Xu; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Event-based Action Recognition Using Motion Information and Spiking Neural Networks. - Qianhui Liu; Dong Xing; Huajin Tang; De Ma; Gang Pan 001 (IJCAI, 2021)

Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork. - Dong Xing; Qianhui Liu; Qian Zheng; Gang Pan 001 (IJCAI, 2021)

Event-Based Multimodal Spiking Neural Network with Attention Mechanism. - Qianhui Liu; Dong Xing; Lang Feng 002; Huajin Tang; Gang Pan 001 (ICASSP, 2022)

TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. - Dong Xing; Qian Zheng; Qianhui Liu; Gang Pan 001 (IJCAI, 2022)

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. - Shanqi Liu; Yujing Hu; Runze Wu 001; Dong Xing; Yu Xiong; Changjie Fan; Kun Kuang; Yong Liu 007 (AAMAS, 2023)

Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. - Dong Xing; Pengjie Gu; Qian Zheng; Xinrun Wang; Shanqi Liu; Longtao Zheng; Bo An 001; Gang Pan 001 (ICML, 2023)

Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. - Pengjie Gu; Xinyu Cai; Dong Xing; Xinrun Wang; Mengchen Zhao; Bo An 001 (NeurIPS, 2023)

FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility. - Lang Feng 002; Dong Xing; Junru Zhang; Gang Pan 001 (CoRR, 2023)

Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. - Shanqi Liu; Dong Xing; Pengjie Gu; Xinrun Wang; Bo An 001; Yong Liu (ICLR, 2024)

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors. - Lang Feng 002; Jiahao Lin; Dong Xing; Li Zhang 045; De Ma; Gang Pan 001 (AAMAS, 2025)

Segment Any RGB-Thermal Model with Language-aided Distillation. - Dong Xing; Xianxun Zhu; Wei Zhou; Qika Lin; Hang Yang; Yuqing Wang (CoRR, 2025)