Chao Xue

According to our database, Chao Xue authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling.

Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

CoRR, April, 2026

2025

Efficient Reasoning via Thought-Training and Thought-Free Inference.

Canhui Wu, Qiong Cao, Chao Xue, Wei Xi, Xiaodong He

CoRR, November, 2025

Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation.

Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

CoRR, October, 2025

Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models.

Canhui Wu, Qiong Cao, Chang Li, Zhenfang Wang, Chao Xue, Yuwei Fan, Wei Xi, Xiaodong He

CoRR, October, 2025

ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning.

Wentao Tan, Qiong Cao, Chao Xue, Yibing Zhan, Changxing Ding, Xiaodong He

CoRR, August, 2025

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought.

Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding

CoRR, July, 2025

On neural architecture search and hyperparameter optimization: A max-flow based approach.

Chao Xue, Jiaxing Li, Xiaoxing Wang, Yibing Zhan, Junchi Yan, Chun-Guang Li

Neural Networks, 2025

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution.

Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Modeling All Response Surfaces in One for Conditional Search Spaces.

Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Neural Architecture Selection as a Nash Equilibrium With Batch Entanglement.

Qian Li, Chao Xue, Mingming Li, Chun-Guang Li, Chao Ma, Xiaokang Yang

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models.

Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

CoRR, 2024

Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence.

Yinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao, Chao Xue, Mengting Hu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling.

Xiaoxing Wang, Zhirui Lian, Jiale Lin, Chao Xue, Junchi Yan

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.

Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao

CoRR, 2023

Poisson Process for Bayesian Optimization.

Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Automated search space and search strategy selection for AutoML.

Chao Xue, Mengting Hu, Xueqi Huang, Chun-Guang Li

Pattern Recognit., 2022

A Max-Flow Based Approach for Neural Architecture Search.

Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Multi-Label Few-Shot Learning for Aspect Category Detection.

Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective.

Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MergeNAS: Merge Operations into One for Differentiable Architecture Search.

Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Transferable AutoML by Model Sharing Over Grouped Datasets.

Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019