HybridRepair: towards annotation-efficient repair for deep learning models. - Yu Li 007; Muxi Chen; Qiang Xu 001 (ISSTA, 2022)

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction. - Minhao Liu; Ailing Zeng; Muxi Chen; Zhijian Xu; Qiuxia Lai; Lingna Ma; Qiang Xu 001 (NeurIPS, 2022)

An Empirical Study on the Efficacy of Deep Active Learning for Image Classification. - Yu Li 007; Muxi Chen; Yannan Liu; Daojing He; Qiang Xu 001 (CoRR, 2022)

Research on Progress of Blockchain Consensus Algorithm: A Review on Recent Progress of Blockchain Consensus Algorithms. - Huanliang Xiong; Muxi Chen; Canghai Wu; Yingding Zhao; Wenlong Yi (Future Internet, 2022)

Are Transformers Effective for Time Series Forecasting? - Ailing Zeng; Muxi Chen; Lei Zhang 001; Qiang Xu 001 (AAAI, 2023)

HiBug: On Human-Interpretable Model Debug. - Muxi Chen; Yu Li 007; Qiang Xu 001 (NeurIPS, 2023)

FrAug: Frequency Domain Augmentation for Time Series Forecasting. - Muxi Chen; Zhijian Xu; Ailing Zeng; Qiang Xu 001 (CoRR, 2023)

Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis. - Muxi Chen; Yi Liu; Jian Yi; Changran Xu; Qiuxia Lai; Hongliang Wang; Tsung-Yi Ho; Qiang Xu 001 (CoRR, 2024)

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging. - Muxi Chen; Chenchen Zhao; Qiang Xu 001 (ICLR, 2025)

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities. - Chan-Jan Hsu; Chia-Sheng Liu; Meng-Hsi Chen; Muxi Chen; Po-Chun Hsu; Yi-Chang Chen; Da-Shan Shiu (CoRR, 2025)

DebugAgent: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging. - Muxi Chen; Chenchen Zhao; Qiang Xu 001 (CoRR, 2025)