Hanshi Sun

According to our database, Hanshi Sun authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Charon: A Unified and Fine-Grained Simulator for Large-Scale LLM Training and Inference.

Mengtian Yang, Zhekun Zhang, Mingheng Wu, Jianwen Yan, Hanshi Sun, Li-wen Chang

CoRR, May, 2026

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs.

Size Zheng, Xuegui Zheng, Hanshi Sun, Qi Hou, Wenlei Bao, Shiyu Li, Haojie Duanmu, Jin Fang, Chenli Xue, Chenhui Huang, Yuanqiang Liu, Renze Chen, Ningxin Zheng, Dongyang Wang, Li-Wen Chang, Liqiang Lu, Yun Liang, Jidong Zhai, Xin Liu

CoRR, May, 2026

2025

R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration.

Zefan Cai, Wen Xiao, Hanshi Sun, Cheng Luo, Yikai Zhang, Ke Wan, Yucheng Li, Yeyang Zhou, Li-Wen Chang, Jiuxiang Gu, Zhen Dong, Anima Anandkumar, Abedelkadir Asi, Junjie Hu

CoRR, May, 2025

HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading.

Cheng Luo, Zefan Cai, Hanshi Sun, Jinqi Xiao, Bo Yuan, Wen Xiao, Junjie Hu, Jiawei Zhao, Beidi Chen, Anima Anandkumar

CoRR, February, 2025

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference.

Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding.

Hanshi Sun, Zhuoming Chen, Xinyu Yang, Yuandong Tian, Beidi Chen

CoRR, 2024

Fast Best-of-N Decoding via Speculative Rejection.

Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter L. Bartlett, Andrea Zanette

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

BMAD: Benchmarks for Medical Anomaly Detection.

Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Combating medical noisy labels by disentangled distribution learning and consistency regularization.

Yi Zhou, Lei Huang, Tao Zhou, Hanshi Sun

Future Gener. Comput. Syst., April, 2023

Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network.

Ninghao Pu, Zhongxing Wu, Ao Wang, Hanshi Sun, Zijin Liu, Hao Liu

Proceedings of the 15th International Conference on Electronics, 2023

2022

Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices.

Ao Wang, Wenxing Xu, Hanshi Sun, Ninghao Pu, Zijin Liu, Hao Liu

CoRR, 2022

Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization.

Hanshi Sun, Ao Wang, Ninghao Pu, Zhiqing Li, Junguang Huang, Hao Liu, Zhi Qi

CoRR, 2022