Transferable AutoML by Model Sharing Over Grouped Datasets. - Chao Xue 003; Junchi Yan; Rong Yan; Stephen M. Chu; Yonggang Hu; Yonghua Lin (CVPR, 2019)

MergeNAS: Merge Operations into One for Differentiable Architecture Search. - Xiaoxing Wang; Chao Xue 003; Junchi Yan; Xiaokang Yang 001; Yonggang Hu; Kewei Sun (IJCAI, 2020)

Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. - Chao Xue 003; Xiaoxing Wang; Junchi Yan; Yonggang Hu; Xiaokang Yang 001; Kewei Sun (AAAI, 2021)

Multi-Label Few-Shot Learning for Aspect Category Detection. - Mengting Hu; Shiwan Zhao; Honglei Guo; Chao Xue 003; Hang Gao 003; Tiegang Gao; Renhong Cheng; Zhong Su (ACL/IJCNLP (1), 2021)

A Max-Flow Based Approach for Neural Architecture Search. - Chao Xue 003; Xiaoxing Wang; Junchi Yan; Chun-Guang Li (ECCV (20), 2022)

Automated search space and search strategy selection for AutoML. - Chao Xue 003; Mengting Hu; Xueqi Huang; Chun-Guang Li (Pattern Recognit., 2022)

Poisson Process for Bayesian Optimization. - Xiaoxing Wang; Jiaxing Li; Chao Xue 003; Wei Liu 005; Weifeng Liu 001; Xiaokang Yang 001; Junchi Yan; Dacheng Tao (AutoML, 2023)

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. - Chao Xue 003; Wei Liu 005; Shuai Xie; Zhenfang Wang; Jiaxing Li; Xuyang Peng; Liang Ding 006; Shanshan Zhao 001; Qiong Cao; Yibo Yang; Fengxiang He; Bohua Cai; et al. (CoRR, 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 003; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence. - Yinhao Bai; Yuhua Zhao 001; Zhixin Han; Hang Gao 003; Chao Xue 003; Mengting Hu (KDD, 2024)

Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models. - Fei Wang 032; Li Shen 008; Liang Ding 006; Chao Xue 003; Ye Liu 014; Changxing Ding (CoRR, 2024)

Neural Architecture Selection as a Nash Equilibrium With Batch Entanglement. - Qian Li 037; Chao Xue 003; Mingming Li; Chun-Guang Li; Chao Ma 004; Xiaokang Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Modeling All Response Surfaces in One for Conditional Search Spaces. - Jiaxing Li; Wei Liu 005; Chao Xue 003; Yibing Zhan; Xiaoxing Wang; Weifeng Liu 001; Dacheng Tao (AAAI, 2025)

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. - Wentao Tan; Qiong Cao; Yibing Zhan; Chao Xue 003; Changxing Ding (AAAI, 2025)

On neural architecture search and hyperparameter optimization: A max-flow based approach. - Chao Xue 003; Jiaxing Li; Xiaoxing Wang; Yibing Zhan; Junchi Yan; Chun-Guang Li (Neural Networks, 2025)

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought. - Wentao Tan; Qiong Cao; Yibing Zhan; Chao Xue 003; Changxing Ding (CoRR, 2025)

ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning. - Wentao Tan; Qiong Cao; Chao Xue 003; Yibing Zhan; Changxing Ding; Xiaodong He 001 (CoRR, 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 003; Yuwei Fan; Wei Xi 003; Xiaodong He 001 (CoRR, 2025)

Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation. - Fei Wang 032; Li Shen 008; Liang Ding 006; Chao Xue 003; Ye Liu 014; Changxing Ding (CoRR, 2025)

Efficient Reasoning via Thought-Training and Thought-Free Inference. - Canhui Wu; Qiong Cao; Chao Xue 003; Wei Xi 003; Xiaodong He 001 (CoRR, 2025)

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling. - Fei Wang 032; Li Shen 008; Liang Ding 006; Chao Xue 003; Ye Liu 014; Changxing Ding (CoRR, 2026)