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 013; Zhi Qi (CoRR, 2022)

Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices. - Ao Wang; Wenxing Xu; Hanshi Sun; Ninghao Pu; Zijin Liu; Hao Liu 013 (CoRR, 2022)

Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network. - Ninghao Pu; Zhongxing Wu; Ao Wang; Hanshi Sun; Zijin Liu; Hao Liu 013 (ECAI, 2023)

Combating medical noisy labels by disentangled distribution learning and consistency regularization. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Hanshi Sun (Future Gener. Comput. Syst., 2023)

BMAD: Benchmarks for Medical Anomaly Detection. - Jinan Bao; Hanshi Sun; Hanqiu Deng; Yinsheng He; Zhaoxiang Zhang 003; Xingyu Li (CVPR Workshops, 2024)

Fast Best-of-N Decoding via Speculative Rejection. - Hanshi Sun; Momin Haider; Ruiqi Zhang; Huitao Yang; Jiahao Qiu; Ming Yin 003; Mengdi Wang; Peter L. Bartlett; Andrea Zanette (NeurIPS, 2024)

TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding. - Hanshi Sun; Zhuoming Chen; Xinyu Yang 002; Yuandong Tian; Beidi Chen (CoRR, 2024)

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. - Hanshi Sun; Li-Wen Chang; Wenlei Bao; Size Zheng 001; Ningxin Zheng; Xin Liu 086; Harry Dong; Yuejie Chi; Beidi Chen (CoRR, 2024)

HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading. - Cheng Luo; Zefan Cai; Hanshi Sun; Jinqi Xiao; Bo Yuan 001; Wen Xiao; Junjie Hu; Jiawei Zhao; Beidi Chen; Anima Anandkumar (CoRR, 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; et al. (CoRR, 2025)