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2020 – today
- 2026
[j3]Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan, Jiacheng Liu, Bowei Guo, Shengkun Tang, Zhuang Liu, Yuanzhi Li, Zhiqiang Shen:
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark. J. Data-centric Mach. Learn. Res. 3: (1):1-48 (2026)- [i16]Liangyu Wang, Siqi Zhang, Junjie Wang, Yiming Dong, Bo Zheng, Zihan Qiu, Shengkun Tang, Di Wang, Rui Men, Dayiheng Liu:
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers. CoRR abs/2602.06079 (2026) - [i15]Aidar Myrzakhan, Tianyi Li, Bowei Guo, Shengkun Tang, Zhiqiang Shen:
Sink-Aware Pruning for Diffusion Language Models. CoRR abs/2602.17664 (2026) - [i14]Zongfang Liu, Shengkun Tang, Zongliang Wu, Xin Yuan, Zhiqiang Shen:
Diff-ES: Stage-wise Structural Diffusion Pruning via Evolutionary Search. CoRR abs/2603.05105 (2026) - [i13]Zongfang Liu, Shengkun Tang, Boyang Sun, Zhiqiang Shen, Xin Yuan
:
EvoESAP: Non-Uniform Expert Pruning for Sparse MoE. CoRR abs/2603.06003 (2026) - [i12]Jiacheng Liu, Shengkun Tang, Jiacheng Cui, Dongkuan Xu, Zhiqiang Shen:
BiGain: Unified Token Compression for Joint Generation and Classification. CoRR abs/2603.12240 (2026) - [i11]Zongfang Liu, Shengkun Tang, Yifan Shen, Huan Wang, Xin Yuan:
AIMER: Calibration-Free Task-Agnostic MoE Pruning. CoRR abs/2603.18492 (2026) - [i10]Shengkun Tang, Zekun Wang, Bo Zheng, Liangyu Wang, Rui Men, Siqi Zhang, Xiulong Yuan, Zihan Qiu, Zhiqiang Shen, Dayiheng Liu:
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training. CoRR abs/2605.08738 (2026) - 2025
- [j2]Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen:
Bi-Mamba: Towards Accurate 1-Bit State Space Model. Trans. Mach. Learn. Res. 2025 (2025) - [c5]Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen:
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics. ICCV 2025: 1655-1664 - [c4]Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu:
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection. NeurIPS 2025 - [i9]Shengkun Tang, Oliver Sieberling, Eldar Kurtic, Zhiqiang Shen, Dan Alistarh:
DarwinLM: Evolutionary Structured Pruning of Large Language Models. CoRR abs/2502.07780 (2025) - [i8]Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan, Jiacheng Liu, Bowei Guo, Shengkun Tang, Zhuang Liu, Yuanzhi Li, Zhiqiang Shen:
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark. CoRR abs/2503.20786 (2025) - [i7]Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu:
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection. CoRR abs/2510.08602 (2025) - [i6]Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen:
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics. CoRR abs/2510.11962 (2025) - 2024
- [c3]Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu:
AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation. ECCV (79) 2024: 73-90 - [c2]Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu:
DALD: Improving Logits-based Detector without Logits from Black-box LLMs. NeurIPS 2024 - [i5]Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu:
Improving Logits-based Detector without Logits from Black-box LLMs. CoRR abs/2406.05232 (2024) - [i4]Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen:
Bi-Mamba: Towards Accurate 1-Bit State Space Models. CoRR abs/2411.11843 (2024) - 2023
- [c1]Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu:
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CVPR 2023: 10781-10791 - [i3]Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu:
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation. CoRR abs/2309.17074 (2023) - 2022
- [i2]Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu:
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CoRR abs/2211.11152 (2022) - 2021
- [j1]Haonan Guo, Xin Su, Shengkun Tang, Bo Du, Liangpei Zhang:
Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10091-10100 (2021) - [i1]Puyuan Yi, Shengkun Tang, Jian Yao:
DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range. CoRR abs/2103.14275 (2021)
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