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Hanshi Sun
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2020 – today
- 2024
- [c2]Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li:
BMAD: Benchmarks for Medical Anomaly Detection. CVPR Workshops 2024: 4042-4053 - [i7]Hanshi Sun, Zhuoming Chen, Xinyu Yang, Yuandong Tian, Beidi Chen:
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding. CoRR abs/2404.11912 (2024) - [i6]Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter L. Bartlett, Andrea Zanette:
Fast Best-of-N Decoding via Speculative Rejection. CoRR abs/2410.20290 (2024) - [i5]Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen:
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. CoRR abs/2410.21465 (2024) - 2023
- [j1]Yi Zhou
, Lei Huang, Tao Zhou, Hanshi Sun:
Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. 141: 567-576 (2023) - [c1]Ninghao Pu, Zhongxing Wu, Ao Wang, Hanshi Sun, Zijin Liu, Hao Liu:
Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network. ECAI 2023: 1-7 - [i4]Ninghao Pu, Zhongxing Wu, Ao Wang, Hanshi Sun, Zijin Liu, Hao Liu:
Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network. CoRR abs/2304.01568 (2023) - [i3]Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li:
BMAD: Benchmarks for Medical Anomaly Detection. CoRR abs/2306.11876 (2023) - 2022
- [i2]Hanshi Sun, Ao Wang, Ninghao Pu, Zhiqing Li, Junguang Huang, Hao Liu, Zhi Qi:
Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization. CoRR abs/2202.12943 (2022) - [i1]Ao Wang, Wenxing Xu, Hanshi Sun, Ninghao Pu, Zijin Liu, Hao Liu:
Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices. CoRR abs/2205.03661 (2022)
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