[MICRO'25] Yao Chen, Cheng Gong*, Bingsheng He. HiPACK: Efficient Sub-8-Bit Direct Convolution with SIMD and Bitwise Management.
IEEE/ACM International Symposium on Microarchitecture (MICRO), 2025.
[代码]
[ECCV'24]Cheng Gong, Yao Chen, Qiuyang Luo, Ye Lu, Tao Li,
Yuzhi Zhang,
Yufei Sun, and Le Zhang. Deep Feature Surgery: Towards Accurate and Efficient
Multi-Exit Networks.
[代码][论文]
[CAAI AIR'24]Cheng Gong, Haoshuai Zheng, Mengting Hu,
Zheng Lin, Deng-Ping
Fan, Yuzhi Zhang, and Tao Li. Minimize Quantization Output Error with Bias
Compensation.
(已接受)
[代码][论文]
[JCST'24]Cheng Gong, Ye Lu, Su-Rong Dai, Qian Deng,
Cheng-Kun Du, and Tao
Li. AutoQNN: An End-to-End Framework for Automatically Quantizing Neural
Networks.
[代码]
[论文]
[TPDS'22]Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao
Li, and Yanzhi
Wang. Elastic Significant Bit Quantization and Acceleration for Deep Neural
Networks.
[代码]
[论文]
[TC'21]Cheng Gong, Yao Chen, Ye Lu, Tao Li, Cong Hao, and
Deming Chen.
VecQ:
Minimal Loss DNN Model Compression with Vectorized Weight Quantization.
[代码]
[论文]
[Information Science'21]Cheng Gong, Ye Lu, Chunying Song,
Tao Li, and Kai
Wang. OSN: Onion-Ring Support Neighbors for Correspondence Selection.
[代码]
[论文]
[IJCNN'19]Cheng Gong, Tao Li, Ye Lu, Cong Hao, Xiaofan
Zhang, Deming Chen,
and Yao Chen. $\mu$L2Q: An Ultra-Low Loss Quantization Method for DNN
Compression.
[代码]
[论文]
[ISVLSI'19] Yao Chen, Kai Zhang, Cheng Gong, Cong Hao,
Xiaofan Zhang, Tao
Li,
and Deming Chen. T-DLA: An Open-Source Deep Learning Accelerator for Ternarized
DNN Models on
Embedded FPGA.
[代码]
[论文]
[ICPADS'19] Fangxin Liu, Kunpeng Xie, Cheng Gong, Shusheng
Liu, Ye Lu, and
Tao Li. LHC: A Low-Power Heterogeneous Computing Method on Neural Network
Accelerator.
[论文]
[IJCAI'18] Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren,
Ming-Ming Cheng,
and
Ali Borji. Enhanced-alignment Measure for Binary Foreground Map Evaluation.
[代码]
[论文]
