Ye, Nan

17 publications

AAAI 2024 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search over Policy Trees Marcus Hörger, Hanna Kurniawati, Dirk P. Kroese, Nan Ye

AAAI 2024 Robust Loss Functions for Training Decision Trees with Noisy Labels Jonathan Wilton, Nan Ye

CVPRW 2023 NTIRE 2023 Image Shadow Removal Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

NeurIPS 2022 Positive-Unlabeled Learning Using Random Forests via Recursive Greedy Risk Minimization Jonathan Wilton, Abigail Koay, Ryan Ko, Miao Xu, Nan Ye

ICLR 2020 Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee, Nan Ye

IJCAI 2020 Greedy Convex Ensemble Thanh Tan Nguyen, Nan Ye, Peter L. Bartlett

JAIR 2017 DESPOT: Online POMDP Planning with Regularization Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee

ICML 2017 Tensor Belief Propagation Andrew Wrigley, Wee Sun Lee, Nan Ye

AAAI 2016 Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification Nguyen Viet Cuong, Nan Ye, Wee Sun Lee

MLOSS 2014 Conditional Random Field with High-Order Dependencies for Sequence Labeling and Segmentation Nguyen Viet Cuong, Nan Ye, Wee Sun Lee, Hai Leong Chieu

UAI 2014 Near-Optimal Adaptive Pool-Based Active Learning with General Loss Nguyen Viet Cuong, Wee Sun Lee, Nan Ye

NeurIPS 2013 Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion Nguyen Viet Cuong, Wee Sun Lee, Nan Ye, Kian Ming A Chai, Hai Leong Chieu

NeurIPS 2013 DESPOT: Online POMDP Planning with Regularization Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee

ICML 2012 Optimizing F-Measure: A Tale of Two Approaches Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu

NeurIPS 2009 Conditional Random Fields with High-Order Features for Sequence Labeling Nan Ye, Wee S. Lee, Hai L. Chieu, Dan Wu

ALT 2009 Learning from Streams Sanjay Jain, Frank Stephan, Nan Ye

ALT 2007 Prescribed Learning of R.E. Classes Sanjay Jain, Frank Stephan, Nan Ye