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2020 – today
- 2024
[c14]Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu:
AFPQ: Asymmetric Floating Point Quantization for LLMs. ACL (Findings) 2024: 28-36- [c13]Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu:
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. ACL (1) 2024: 102-116 - [c12]Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. ICME 2024: 1-6 - [c11]Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang:
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. ISCA 2024: 1018-1031 - [c10]Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang:
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI 2024: 307-323 - [i10]Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu:
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. CoRR abs/2402.10631 (2024) - [i9]Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang:
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. CoRR abs/2407.00088 (2024) - [i8]Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang:
LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. CoRR abs/2408.06003 (2024) - 2023
- [j2]Shijie Cao, Rui Li
, Wenyin Gong, Chao Lu:
Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling. Swarm Evol. Comput. 83: 101419 (2023) - [c9]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI 2023: 3058-3065 - [c8]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. INTERSPEECH 2023: 4104-4108 - [c7]Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang:
Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys 2023 - [c6]Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu:
NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. MobiSys 2023: 70-83 - [i7]Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR abs/2305.12356 (2023) - [i6]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. CoRR abs/2305.19549 (2023) - [i5]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR abs/2305.19982 (2023) - [i4]Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang, Minsoo Rhu:
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. CoRR abs/2308.12066 (2023) - [i3]Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu:
AFPQ: Asymmetric Floating Point Quantization for LLMs. CoRR abs/2311.01792 (2023) - 2021
- [c5]Hualing Liu, Yi Sun, Shijie Cao:
Building a COVID-19 Literature Knowledge Graph Based on PubMed. MICAD 2021: 364-373 - [i2]Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui:
Dense-to-Sparse Gate for Mixture-of-Experts. CoRR abs/2112.14397 (2021)
2010 – 2019
- 2019
- [j1]Shijie Cao, Lanshun Nie, De-chen Zhan, Wenqiang Wang, Ningyi Xu, Ramashis Das, Ming Wu, Lintao Zhang, Derek Chiou:
FlexSaaS: A Reconfigurable Accelerator for Web Search Selection. ACM Trans. Reconfigurable Technol. Syst. 12(1): 5:1-5:20 (2019) - [c4]Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. AAAI 2019: 5676-5683 - [c3]Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang:
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR 2019: 11216-11225 - [c2]Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang:
Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA 2019: 63-72 - 2018
- [i1]Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. CoRR abs/1811.00206 (2018) - 2013
- [c1]Jiangyan Zheng, Shijie Cao, Jianhui Zheng, Zhihui Chen, Liang Hong:
Information Technology Education Based on Cloud Computing. ICICA (1) 2013: 417-426
Coauthor Index
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last updated on 2024-10-22 21:14 CEST by the dblp team
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