MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation. - Zhuonan Wang; Zhenxuan Fan; Siwen Tan; Yu Zhong; Yuqian Yuan; Haoyuan Li 002; Hao Jiang 014; Wenqiao Zhang; Feifei Shao; Hongwei Wang; Jun Xiao 001 (AAAI, 2026)

CtrlCoT: Dual-Granularity Chain-of-Thought Compression for Controllable Reasoning. - Zhenxuan Fan; Jie Cao; Yang Dai; Zheqi Lv; Wenqiao Zhang; Zhongle Xie; Peng Lu 013; Beng Chin Ooi (CoRR, 2026)

Enhancing Post-Training Quantization via Future Activation Awareness. - Zheqi Lv; Zhenxuan Fan; Qi Tian 001; Wenqiao Zhang; Yueting Zhuang (CoRR, 2026)

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis. - Tianwei Lin 001; Zhongwei Qiu; Wenqiao Zhang; Jiang Liu; Yihan Xie; Mingjian Gao; Zhenxuan Fan; Zhaocheng Li; Sijing Li; Zhongle Xie; Peng LU; Yueting Zhuang; et al. (CoRR, 2026)

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging. - Jie Cao; Zhenxuan Fan; Zhuonan Wang; Tianwei Lin 001; Ziyuan Zhao; Rolan Yan; Wenqiao Zhang; Feifei Shao; Hongwei Wang; Jun Xiao 001; Siliang Tang (CoRR, 2026)

Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs. - Jie Cao; Tianwei Lin 001; Zhenxuan Fan; Bo Yuan; Ziyuan Zhao; Rolan Yan; Wenqiao Zhang; Siliang Tang (CoRR, 2026)