DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range. - Puyuan Yi; Shengkun Tang; Jian Yao (CoRR, 2021)

Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images. - Haonan Guo; Xin Su 003; Shengkun Tang; Bo Du 001; Liangpei Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. - Shengkun Tang; Yaqing Wang 001; Zhenglun Kong; Tianchi Zhang 004; Yao Li 015; Caiwen Ding; Yanzhi Wang; Yi Liang; Dongkuan Xu (CVPR, 2023)

DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation. - Shengkun Tang; Yaqing Wang 001; Caiwen Ding; Yi Liang; Yao Li 015; Dongkuan Xu (CoRR, 2023)

AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation. - Shengkun Tang; Yaqing Wang 001; Caiwen Ding; Yi Liang; Yao Li 015; Dongkuan Xu (ECCV (79), 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 015; Haifeng Chen; Wei Cheng 002; Dongkuan Xu (NeurIPS, 2024)

Improving Logits-based Detector without Logits from Black-box LLMs. - Cong Zeng; Shengkun Tang; Xianjun Yang; Yuanzhou Chen; Yiyou Sun; Zhiqiang Xu; Yao Li 015; Haifeng Chen; Wei Cheng 002; Dongkuan Xu (CoRR, 2024)

Bi-Mamba: Towards Accurate 1-Bit State Space Models. - Shengkun Tang; Liqun Ma; Haonan Li; Mingjie Sun; Zhiqiang Shen (CoRR, 2024)

DarwinLM: Evolutionary Structured Pruning of Large Language Models. - Shengkun Tang; Oliver Sieberling; Eldar Kurtic; Zhiqiang Shen; Dan Alistarh (CoRR, 2025)

Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark. - Sondos Mahmoud Bsharat; Mukul Ranjan; Aidar Myrzakhan; Jiacheng Liu; Bowei Guo; Shengkun Tang; Zhuang Liu; Yuanzhi Li; Zhiqiang Shen (CoRR, 2025)