Tang, Shengkun

7 publications

TMLR 2025 Bi-Mamba: Towards Accurate 1-Bit State Space Model Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen

ICLRW 2025 Do Large Language Models Perceive Orderly Number Concepts as Humans? Xuanjie Liu, Cong Zeng, Shengkun Tang, Ziyu Wang, Zhiqiang Xu, Gus Xia

NeurIPS 2025 Human Texts Are Outliers: Detecting LLM-Generated Texts via Out-of-Distribution Detection Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu

ICCV 2025 MosaicDiff: Training-Free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen

ECCV 2024 AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu

NeurIPS 2024 DALD: Improving Logits-Based Detector Without Logits from Black-Box LLMs Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu

CVPR 2023 You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu