Chuanlong Xie

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Autoregressive Model

Cooperative Multi Agent

Top Venues

Comput. Stat. Data Anal.

Publications

Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang
Provable Contrastive Continual Learning. CoRR (2024)
Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang
Technique Report of CVPR 2024 PBDL Challenges. CoRR (2024)
Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion. CoRR (2024)
Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI (2023)
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI (2023)
Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. CoRR (2023)
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR (2023)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR (2022)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS (2022)
Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
Boosting Out-of-distribution Detection with Typical Features. CoRR (2022)
Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
Boosting Out-of-distribution Detection with Typical Features. NeurIPS (2022)
Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models. CoRR (2022)
Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. ICML (2022)
Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. CoRR (2022)
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI (2021)
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS (2021)
Heng Peng, Chuanlong Xie, Jingxin Zhao
Fast inference for semi-varying coefficient models via local averaging. Comput. Stat. Data Anal. 157 (2021)
Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. CoRR (2021)
Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. ICCV (2021)
Zeng Li, Chuanlong Xie, Qinwen Wang
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator. ICML (2021)
Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li
Out-of-Distribution Generalization Analysis via Influence Function. CoRR (2021)
Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. CoRR (2021)
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR (2021)
Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. NeurIPS (2021)
Chuanlong Xie, Lixing Zhu
Generalized kernel-based inverse regression methods for sufficient dimension reduction. Comput. Stat. Data Anal. 150 (2020)
Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li
Risk Variance Penalization: From Distributional Robustness to Causality. CoRR (2020)
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR (2020)
Zeng Li, Chuanlong Xie, Qinwen Wang
Provable More Data Hurt in High Dimensional Least Squares Estimator. CoRR (2020)
Chuanlong Xie, Lixing Zhu
A goodness-of-fit test for variable-adjusted models. Comput. Stat. Data Anal. 138 (2019)