Shengkun Tang

According to our database, Shengkun Tang authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training.

Shengkun Tang, Zekun Wang, Bo Zheng, Liangyu Wang, Rui Men, Siqi Zhang, Xiulong Yuan, Zihan Qiu, Zhiqiang Shen, Dayiheng Liu

CoRR, May, 2026

AIMER: Calibration-Free Task-Agnostic MoE Pruning.

Zongfang Liu, Shengkun Tang, Yifan Shen, Huan Wang, Xin Yuan

CoRR, March, 2026

BiGain: Unified Token Compression for Joint Generation and Classification.

Jiacheng Liu, Shengkun Tang, Jiacheng Cui, Dongkuan Xu, Zhiqiang Shen

CoRR, March, 2026

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE.

Zongfang Liu, Shengkun Tang, Boyang Sun, Zhiqiang Shen, Xin Yuan

CoRR, March, 2026

Diff-ES: Stage-wise Structural Diffusion Pruning via Evolutionary Search.

Zongfang Liu, Shengkun Tang, Zongliang Wu, Xin Yuan, Zhiqiang Shen

CoRR, March, 2026

Sink-Aware Pruning for Diffusion Language Models.

Aidar Myrzakhan, Tianyi Li, Bowei Guo, Shengkun Tang, Zhiqiang Shen

CoRR, February, 2026

Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers.

Liangyu Wang, Siqi Zhang, Junjie Wang, Yiming Dong, Bo Zheng, Zihan Qiu, Shengkun Tang, Di Wang, Rui Men, Dayiheng Liu

CoRR, February, 2026

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

J. Data-centric Mach. Learn. Res., 2026

2025

DarwinLM: Evolutionary Structured Pruning of Large Language Models.

Shengkun Tang, Oliver Sieberling, Eldar Kurtic, Zhiqiang Shen, Dan Alistarh

CoRR, February, 2025

Bi-Mamba: Towards Accurate 1-Bit State Space Model.

Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen

Trans. Mach. Learn. Res., 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics.

Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Bi-Mamba: Towards Accurate 1-Bit State Space Models.

Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen

CoRR, 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, Haifeng Chen, Wei Cheng, Dongkuan Xu

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation.

Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation.

Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu

CoRR, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images.

Haonan Guo, Xin Su, Shengkun Tang, Bo Du, Liangpei Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range.

Puyuan Yi, Shengkun Tang, Jian Yao

CoRR, 2021