Jiechao Xiong

According to our database, Jiechao Xiong authored at least 26 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Greedy when Sure and Conservative when Uncertain about the Opponents.

Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

IEEE Trans. Knowl. Data Eng., 2021

Evaluating Visual Properties via Robust HodgeRank.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao

Int. J. Comput. Vis., 2021

2020

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game.

Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang

CoRR, 2020

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning.

Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang

CoRR, 2020

Zeroth-Order Supervised Policy Improvement.

Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou

CoRR, 2020

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings.

Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Arena: a toolkit for Multi-Agent Reinforcement Learning.

Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang

CoRR, 2019

Divergence-Augmented Policy Optimization.

Qing Wang, Yingru Li, Jiechao Xiong, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI.

Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space.

Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu

CoRR, 2018

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game.

Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang

CoRR, 2018

Exponentially Weighted Imitation Learning for Batched Historical Data.

Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Margin-based MLE for Crowdsourced Partial Ranking.

Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation.

Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Exploring Outliers in Crowdsourced Ranking for QoE.

Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels.

Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Split LBI: An Iterative Regularization Path with Structural Sparsity.

Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs.

Braxton Osting, Jiechao Xiong, Qianqian Xu, Yuan Yao

CoRR, 2015

2014

Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

IEEE Trans. Multim., 2014

Robust Statistical Ranking: Theory and Algorithms.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

CoRR, 2014

2013

Robust evaluation for quality of experience in crowdsourcing.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

Proceedings of the ACM Multimedia Conference, 2013