| 2026 | AAAI | Knowledge-Enhanced Explainable Prompting for Vision-Language Models. | Yequan Bie, Andong Tan, Zhixuan Chen, Zhiyuan Cai, Luyang Luo, Hao Chen |
| 2026 | AAAI | OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs. | Shaoyuan Chen, Zhixuan Chen, Dawei Yang, Zhihang Yuan, Qiang Wu |
| 2025 | ICLR | OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. | Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, Jiangyong Yu, Chen Xu, Zhihang Yuan, Zhe Jiang, Sifan Zhou |
| 2025 | ICLR | MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. | Zukang Xu, Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou |
| 2025 | ICML | MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. | Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu |
| 2025 | ICML | RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. | Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang |
| 2025 | MICCAI | Dia-LLaMA: Towards Large Language Model-Driven CT Report Generation. | Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen |
| 2024 | MICCAI | XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization. | Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen |