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ORCIDShuaipeng Li
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2020 – today
- 2026
[j5]Shuaipeng Li
, Baoyu An, Xueyang Huo, Jie Ma, Yuansi Zhang, Linxi Cai, Pinghui Wang, Chao-Bo Yan:
Securely Answering Multi-Hop Questions on the Joint of Private and Public Knowledge Graphs. IEEE Trans Autom. Sci. Eng. 23: 2361-2377 (2026)- 2025
- [j4]Kunyue Li, Shuaipeng Li, Xiaoyan Li, Zizheng Dong, Sai Gao, Jialei Sun, Naifeng Jing, Qin Wang, Guanghui He, Jianfei Jiang:
Efficient Die-to-Die Communication: UCIe Link Simulation and Optimization in a Chiplet-Based System. IEEE J. Emerg. Sel. Topics Circuits Syst. 15(4): 599-608 (2025) - [j3]Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui:
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training. Proc. ACM Manag. Data 3(1): 53:1-53:28 (2025) - [j2]Jialei Sun, Lingyi Liu, Kunyue Li, Shuaipeng Li, Sai Gao, Zizheng Dong, Jianfei Jiang, Fangzhen Wu:
An Energy-Efficient CPU-FPGA Heterogeneous Acceleration System for Third-Generation Genomic Sequencing Based on Minimap2. IEEE Trans. Circuits Syst. II Express Briefs 72(9): 1278-1282 (2025) - [j1]Zizheng Dong, Shuaipeng Li, Weijia Zhu, Ang Li, Qin Wang, Naifeng Jing, Weiguang Sheng, Jianfei Jiang, Zhigang Mao:
A Hierarchical 3-D Physical Design Method for Ultralarge-Scale Logic-on-Memory CGRA Chip. IEEE Trans. Very Large Scale Integr. Syst. 33(6): 1502-1515 (2025) - [c11]Jing Zhou, Min Hu, Shuaipeng Li, Yuyang Wang, Yifeng Guo, Xin Dong, Jian Cui, Yibo Li, Yunpeng Song, Zhongmin Cai, Wuai Zhou, Chao-Bo Yan:
A Contrastive Learning Approach to Paraphrase Identification. CASE 2025: 684-689 - [c10]Shuaipeng Li, Pinghui Wang, Huajie Gao, Chao-Bo Yan:
Few-shot Knowledge Extraction for Manufacturing Domain Based on Large Language Models. CASE 2025: 2462-2468 - [c9]An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, Weidong Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu:
HMoE: Heterogeneous Mixture of Experts for Language Modeling. EMNLP 2025: 21943-21957 - [c8]Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-zhong Xu, Di Wang, Jie Jiang:
Scaling Laws for Floating-Point Quantization Training. ICML 2025 - [i11]Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Chengzhong Xu, Di Wang, Jie Jiang:
Scaling Laws for Floating Point Quantization Training. CoRR abs/2501.02423 (2025) - [i10]Weiyan Wang, Xingjian Shi, Ruiqi Shu, Yuan Gao, Rui Ray Chen, Kun Wang, Fan Xu, Jinbao Xue, Shuaipeng Li, Yangyu Tao, Di Wang, Hao Wu, Xiaomeng Huang:
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting. CoRR abs/2502.18925 (2025) - [i9]Yixing Li, Ruobing Xie, Zhen Yang, Xingwu Sun, Shuaipeng Li, Weidong Han, Zhanhui Kang, Yu Cheng, Cheng-Zhong Xu, Di Wang, Jie Jiang:
TransMamba: Flexibly Switching between Transformer and Mamba. CoRR abs/2503.24067 (2025) - [i8]Guoliang Zhao, Yuhan Fu, Shuaipeng Li, Xingwu Sun, Ruobing Xie, An Wang, Weidong Han, Zhen Yang, Weixuan Sun, Yudong Zhang, Cheng-zhong Xu, Di Wang, Jie Jiang:
Towards a Comprehensive Scaling Law of Mixture-of-Experts. CoRR abs/2509.23678 (2025) - [i7]Hao Wu, Yuan Gao, Xingjian Shi, Shuaipeng Li, Fan Xu, Fan Zhang, Zhihong Zhu, Weiyan Wang, Xiao Luo, Kun Wang, Xian Wu, Xiaomeng Huang:
Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models. CoRR abs/2510.04020 (2025) - 2024
- [c7]Lin Xie, Zizheng Dong, Jialei Sun, Sai Gao, Shuaipeng Li, Naifeng Jing, Qin Wang, Jianfei Jiang:
A 0.8-ps RMS Precision Period Jitter Measurement Circuit with Offset Reduction. ISCAS 2024: 1-5 - [c6]Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang:
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. NeurIPS 2024 - [i6]Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang:
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. CoRR abs/2405.14578 (2024) - [i5]Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui:
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. CoRR abs/2407.12117 (2024) - [i4]An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, J. N. Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu:
HMoE: Heterogeneous Mixture of Experts for Language Modeling. CoRR abs/2408.10681 (2024) - [i3]Ang Lv, Ruobing Xie, Shuaipeng Li, Jiayi Liao, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan:
More Expressive Attention with Negative Weights. CoRR abs/2411.07176 (2024) - 2023
- [c5]Xiaoyan Li, Zizheng Dong, Shuaipeng Li, Sai Gao, Jianfei Jiang, Guanghui He, Zhigang Mao:
MUG5: Modeling of Universal Chiplet Interconnect Express (UCIe) Standard Based on gem5. ASICON 2023: 1-4 - 2022
- [c4]Mingsheng Ma, Shuaipeng Li, Yuanlin Chang, Sheng Zhang, Chenhong Li, Xu Gong, Huiying Xu, Feng Gao, Xiaoyu Cao, Chao-Bo Yan:
Efficient and Accurate Simulation of Origin-Destination Flow in Telecommunication Systems. CASE 2022: 1707-1712 - 2020
- [c3]Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li:
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. AAAI 2020: 11563-11571
2010 – 2019
- 2019
- [i2]Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li:
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. CoRR abs/1911.10097 (2019) - 2017
- [c2]Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu:
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds. ICCV 2017: 5679-5688 - [i1]Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu:
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds. CoRR abs/1707.06783 (2017) - 2014
- [c1]Shuaipeng Li, Geng Peng, Jiyuan Wang:
Search queries based sales forecasting on Taobao. ICIS 2014: 223-228
Coauthor Index
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