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Shuang Peng

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2024
[c6]
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  dblp key:
  - conf/coling/ZhangYPWP24
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Yi Zhang, Fei Yang, Shuang Peng, Fangyu Wang, Aimin Pan:
FlattenQuant: Breaking through the Inference Compute-bound for Large Language Models with Per-tensor Quantization. LREC/COLING 2024: 7356-7365
[c5]
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  - conf/icpp/YangPSWWWQP24
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Fei Yang, Shuang Peng, Ning Sun, Fangyu Wang, Yuanyuan Wang, Fu Wu, Jiezhong Qiu, Aimin Pan:
Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment. ICPP 2024: 514-523
[c4]
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  - conf/ijcnn/JiangSLPZYL24
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Yanfeng Jiang, Ning Sun, Zhengxian Lu, Shuang Peng, Yi Zhang, Fei Yang, Tao Li:
MEFold: Memory-Efficient Optimization for Protein Language Models via Chunk and Quantization. IJCNN 2024: 1-8
[c3]
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  - conf/ijcnn/ZhouPLCT24
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Yuting Zhou, Shuang Peng, Xinxu Li, Qiancheng Cao, Li Tao:
Classroom Action Recognition Based on Graph Convolutional Neural Networks and Contrast Learning. IJCNN 2024: 1-8
[c2]
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  - conf/recsys/LinPZZ24
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Jiaye Lin, Shuang Peng, Zhong Zhang, Peilin Zhao:
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks. RecSys 2024: 1119-1124
[i3]
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  - journals/corr/abs-2402-17985
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Yi Zhang, Fei Yang, Shuang Peng, Fangyu Wang, Aimin Pan:
FlattenQuant: Breaking Through the Inference Compute-bound for Large Language Models with Per-tensor Quantization. CoRR abs/2402.17985 (2024)
2023
[c1]
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  - conf/bibm/PengYSCJP23
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Shuang Peng, Fei Yang, Ning Sun, Sheng Chen, Yanfeng Jiang, Aimin Pan:
Exploring Post-Training Quantization of Protein Language Models. BIBM 2023: 602-608
[i2]
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  - journals/corr/abs-2310-19624
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Shuang Peng, Fei Yang, Ning Sun, Sheng Chen, Yanfeng Jiang, Aimin Pan:
Exploring Post-Training Quantization of Protein Language Models. CoRR abs/2310.19624 (2023)
[i1]
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  - journals/corr/abs-2312-03549
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Fei Yang, Shuang Peng, Ning Sun, Fangyu Wang, Ke Tan, Fu Wu, Jiezhong Qiu, Aimin Pan:
Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment. CoRR abs/2312.03549 (2023)

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