AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem - Peng Sun 011; Jie Zhou 001 (CoRR, 2011)

The Convexity and Design of Composite Multiclass Losses. - Mark D. Reid; Robert C. Williamson; Peng Sun 011 (ICML, 2012)

AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. - Peng Sun 011; Mark D. Reid; Jie Zhou 001 (ICML, 2012)

Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner. - Peng Sun 011; Jie Zhou 001 (ICML (3), 2013)

A Convergence Rate Analysis for LogitBoost, MART and Their Variant. - Peng Sun 011; Tong Zhang 001; Jie Zhou 001 (ICML, 2014)

An improved multiclass LogitBoost using adaptive-one-vs-one. - Peng Sun 011; Mark D. Reid; Jie Zhou 001 (Mach. Learn., 2014)

Watertight modeling and segmentation of bifurcated Coronary arteries for blood flow simulation using CT imaging. - Haoyin Zhou; Peng Sun 011; Seongmin Ha; Devon Lundine; Guanglei Xiong (Comput. Medical Imaging Graph., 2016)

End-to-end Active Object Tracking via Reinforcement Learning. - Wenhan Luo; Peng Sun 011; Yadong Mu; Wei Liu 005 (CoRR, 2017)

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations. - Guanglei Xiong; Peng Sun 011; Haoyin Zhou; Seongmin Ha; Briain o Hartaigh; Quynh A. Truong; James K. Min (IEEE Trans. Vis. Comput. Graph., 2017)

Tagging Like Humans: Diverse and Distinct Image Annotation. - Baoyuan Wu; Weidong Chen; Peng Sun 011; Wei Liu 005; Bernard Ghanem; Siwei Lyu (CVPR, 2018)

End-to-end Active Object Tracking via Reinforcement Learning. - Wenhan Luo; Peng Sun 011; Fangwei Zhong; Wei Liu 005; Tong Zhang 001; Yizhou Wang 001 (ICML, 2018)

An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. - Li Shen 005; Peng Sun 011; Yitong Wang; Wei Liu 005; Tong Zhang 001 (ICML, 2018)

Exponentially Weighted Imitation Learning for Batched Historical Data. - Qing Wang; Jiechao Xiong; Lei Han 001; Peng Sun 011; Han Liu 001; Tong Zhang 001 (NeurIPS, 2018)

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. - Peng Sun 011; Xinghai Sun; Lei Han 001; Jiechao Xiong; Qing Wang; Bo Li 064; Yang Zheng; Ji Liu 001; Yongsheng Liu; Han Liu 001; Tong Zhang 001 (CoRR, 2018)

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. - Jiechao Xiong; Qing Wang; Zhuoran Yang; Peng Sun 011; Lei Han 001; Yang Zheng; Haobo Fu; Tong Zhang 001; Ji Liu 001; Han Liu 001 (CoRR, 2018)

Generative adversarial exploration for reinforcement learning. - Weijun Hong; Menghui Zhu; Minghuan Liu; Weinan Zhang 001; Ming Zhou 006; Yong Yu 001; Peng Sun 011 (DAI, 2019)

AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking. - Fangwei Zhong; Peng Sun 011; Wenhan Luo; Tingyun Yan; Yizhou Wang 001 (ICLR (Poster), 2019)

Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI. - Lei Han 001; Peng Sun 011; Yali Du 001; Jiechao Xiong; Qing Wang; Xinghai Sun; Han Liu 001; Tong Zhang 001 (ICML, 2019)

OVSNet : Towards One-Pass Real-Time Video Object Segmentation. - Peng Sun 011; Peiwen Lin; Guangliang Cheng; Jianping Shi; Jiawan Zhang; Xi Li 001 (CoRR, 2019)

Arena: a toolkit for Multi-Agent Reinforcement Learning. - Qing Wang; Jiechao Xiong; Lei Han 001; Meng Fang; Xinghai Sun; Zhuobin Zheng; Peng Sun 011; Zhengyou Zhang (CoRR, 2019)

Graph-Guided Architecture Search for Real-Time Semantic Segmentation. - Peiwen Lin; Peng Sun 011; Guangliang Cheng; Sirui Xie; Xi Li 001; Jianping Shi (CVPR, 2020)

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning. - Peng Sun 011; Jiechao Xiong; Lei Han 001; Xinghai Sun; Shuxing Li; Jiawei Xu; Meng Fang; Zhengyou Zhang (CoRR, 2020)

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game. - Lei Han 001; Jiechao Xiong; Peng Sun 011; Xinghai Sun; Meng Fang; Qingwei Guo; Qiaobo Chen; Tengfei Shi; Hongsheng Yu; Zhengyou Zhang (CoRR, 2020)

End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning. - Wenhan Luo; Peng Sun 011; Fangwei Zhong; Wei Liu 005; Tong Zhang 001; Yizhou Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Deep RGB-D Saliency Detection With Depth-Sensitive Attention and Automatic Multi-Modal Fusion. - Peng Sun 011; Wenhu Zhang; Huanyu Wang; Songyuan Li; Xi Li 001 (CVPR, 2021)

Towards Distraction-Robust Active Visual Tracking. - Fangwei Zhong; Peng Sun 011; Wenhan Luo; Tingyun Yan; Yizhou Wang 001 (ICML, 2021)

Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. - Peng Sun 011; Jiaxiang Wu 001; Songyuan Li; Peiwen Lin; Junzhou Huang; Xi Li 001 (Int. J. Comput. Vis., 2021)

Anytime Recognition with Routing Convolutional Networks. - Zequn Jie; Peng Sun 011; Xi Li 001; Jiashi Feng; Wei Liu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking. - Fangwei Zhong; Peng Sun 011; Wenhan Luo; Tingyun Yan; Yizhou Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learnable Depth-Sensitive Attention for Deep RGB-D Saliency Detection with Multi-modal Fusion Architecture Search. - Peng Sun 011; Wenhu Zhang; Songyuan Li; Yilin Guo; Congli Song; Xi Li 001 (Int. J. Comput. Vis., 2022)

The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition. - Shuxing Li; Jiawei Xu; Honghua Dong; Yu Yang 015; Chun Yuan 003; Peng Sun 011; Lei Han 001 (IEEE Trans. Games, 2024)