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ORCIDChao Xue 0003
Person information
- affiliation: JD Explore Academy, Beijing, China
- affiliation: Beijing University of Posts and Telecommunications (BUPT), School of Artificial Intelligence, China
Other persons with the same name
- Chao Xue — disambiguation page
- Chao Xue 0001
![[0009-0005-2400-3972]](https://dblp.org/img/orcid-mark.12x12.png "0009-0005-2400-3972")
— People's Liberation Army, Academy of Military Sciences, Network information research Institute, Beijing, China (and 1 more) - Chao Xue 0002 — Harbin Engineering University, College of Intelligent Systems Science and Engineering, China
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2020 – today
- 2025
[j4]Chao Xue, Jiaxing Li, Xiaoxing Wang, Yibing Zhan, Junchi Yan, Chun-Guang Li:
On neural architecture search and hyperparameter optimization: A max-flow based approach. Neural Networks 188: 107507 (2025)- [c9]Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding:
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. AAAI 2025: 7202-7210 - [c8]Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao:
Modeling All Response Surfaces in One for Conditional Search Spaces. AAAI 2025: 18323-18332 - [i11]Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao:
Modeling All Response Surfaces in One for Conditional Search Spaces. CoRR abs/2501.04260 (2025) - [i10]Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding:
From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought. CoRR abs/2507.02984 (2025) - [i9]Wentao Tan, Qiong Cao, Chao Xue, Yibing Zhan, Changxing Ding, Xiaodong He:
ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning. CoRR abs/2508.17608 (2025) - [i8]Canhui Wu, Qiong Cao, Chang Li, Zhenfang Wang, Chao Xue, Yuwei Fan, Wei Xi, Xiaodong He:
Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models. CoRR abs/2510.03805 (2025) - [i7]Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding:
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation. CoRR abs/2510.15304 (2025) - [i6]Canhui Wu, Qiong Cao, Chao Xue, Wei Xi, Xiaodong He:
Efficient Reasoning via Thought-Training and Thought-Free Inference. CoRR abs/2511.03408 (2025) - 2024
- [j3]Qian Li, Chao Xue, Mingming Li, Chun-Guang Li, Chao Ma, Xiaokang Yang:
Neural Architecture Selection as a Nash Equilibrium With Batch Entanglement. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15195-15209 (2024) - [c7]Yinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao, Chao Xue, Mengting Hu:
Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence. KDD 2024: 83-94 - [i5]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. CoRR abs/2402.02687 (2024) - [i4]Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding:
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models. CoRR abs/2410.09823 (2024) - [i3]Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding:
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. CoRR abs/2412.15650 (2024) - 2023
- [j2]Xiaoxing Wang, Zhirui Lian, Jiale Lin, Chao Xue, Junchi Yan:
DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13974-13990 (2023) - [c6]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. AutoML 2023: 3/1-20 - [i2]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:
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR abs/2303.00501 (2023) - 2022
- [j1]Chao Xue, Mengting Hu, Xueqi Huang, Chun-Guang Li:
Automated search space and search strategy selection for AutoML. Pattern Recognit. 124: 108474 (2022) - [c5]Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li:
A Max-Flow Based Approach for Neural Architecture Search. ECCV (20) 2022: 685-701 - 2021
- [c4]Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun:
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. AAAI 2021: 10551-10559 - [c3]Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su:
Multi-Label Few-Shot Learning for Aspect Category Detection. ACL/IJCNLP (1) 2021: 6330-6340 - [i1]Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su:
Multi-Label Few-Shot Learning for Aspect Category Detection. CoRR abs/2105.14174 (2021) - 2020
- [c2]Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun:
MergeNAS: Merge Operations into One for Differentiable Architecture Search. IJCAI 2020: 3065-3072
2010 – 2019
- 2019
- [c1]Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin:
Transferable AutoML by Model Sharing Over Grouped Datasets. CVPR 2019: 9002-9011
Coauthor Index
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