Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. - Gang Li 015; Fanrong Li; Tianli Zhao; Jian Cheng 001 (DATE, 2018)

Training Binary Weight Networks via Semi-Binary Decomposition. - Qinghao Hu 001; Gang Li 015; Peisong Wang; Yifan Zhang 001; Jian Cheng 001 (ECCV (13), 2018)

BundleNet: Learning with Noisy Label via Sample Correlations. - Chenghua Li; Chunjie Zhang; Kun Ding; Gang Li 015; Jian Cheng 001; Hanqing Lu (IEEE Access, 2018)

Recent advances in efficient computation of deep convolutional neural networks. - Jian Cheng 001; Peisong Wang; Gang Li 015; Qinghao Hu 001; Hanqing Lu (Frontiers Inf. Technol. Electron. Eng., 2018)

A System-Level Solution for Low-Power Object Detection. - Fanrong Li; Yang Zhang; Jian Cheng 001; Zitao Mo; Peisong Wang; Zejian Liu; Jiayun Zhang; Gang Li 015; Qinghao Hu 001; Xiangyu He; Cong Leng (ICCV Workshops, 2019)

Sparsity-Inducing Binarized Neural Networks. - Peisong Wang; Xiangyu He; Gang Li 015; Tianli Zhao; Jian Cheng 001 (AAAI, 2020)

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. - Gang Li 015; Peisong Wang; Zejian Liu; Cong Leng; Jian Cheng 001 (DATE, 2020)

Ladder Pyramid Networks For Single Image Super-Resolution. - Zitao Mo; Xiangyu He; Gang Li 015; Jian Chen 001 (ICIP, 2020)

FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs. - Fanrong Li; Gang Li 015; Zitao Mo; Xiangyu He; Jian Cheng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

EBERT: Efficient BERT Inference with Dynamic Structured Pruning. - Zejian Liu; Fanrong Li; Gang Li 015; Jian Cheng 001 (ACL/IJCNLP (Findings), 2021)

Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. - Zejian Liu; Gang Li 015; Jian Cheng 001 (DATE, 2021)

Dynamic Dual Gating Neural Networks. - Fanrong Li; Gang Li 015; Xiangyu He; Jian Cheng 001 (ICCV, 2021)

Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. - Gang Li 015; Zejian Liu; Fanrong Li; Jian Cheng 001 (CoRR, 2021)

PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. - Qinghao Hu 001; Gang Li 015; Qiman Wu; Jian Cheng 001 (ECCV (11), 2022)

Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. - Gang Li 015; Weixiang Xu; Zhuoran Song; Naifeng Jing; Jian Cheng 001; Xiaoyao Liang (MICRO, 2022)

Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. - Gang Li 015; Zejian Liu; Fanrong Li; Jian Cheng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. - Xiaolong Lin; Gang Li 015; Zizhao Liu; Yadong Liu; Fan Zhang; Zhuoran Song; Naifeng Jing; Xiaoyao Liang (DAC, 2023)

PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. - Zhuoran Song; Heng Lu; Gang Li 015; Li Jiang 002; Naifeng Jing; Xiaoyao Liang (DATE, 2023)

$ rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. - Zeyu Zhu; Fanrong Li; Zitao Mo; Qinghao Hu 001; Gang Li 015; Zejian Liu; Xiaoyao Liang; Jian Cheng 001 (ICLR, 2023)

A2Q: Aggregation-Aware Quantization for Graph Neural Networks. - Zeyu Zhu; Fanrong Li; Zitao Mo; Qinghao Hu 001; Gang Li 015; Zejian Liu; Xiaoyao Liang; Jian Cheng 001 (CoRR, 2023)

Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning. - Zejian Liu; Gang Li 015; Jian Cheng 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. - Peisong Wang; Fanrong Li; Gang Li 015; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. - Zeyu Zhu; Peisong Wang; Qinghao Hu 001; Gang Li 015; Xiaoyao Liang; Jian Cheng 001 (ASPLOS (4), 2024)

FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. - Xueyuan Liu 001; Zhuoran Song; Guohao Dai; Gang Li 015; Can Xiao; Yan Xiang; Dehui Kong; Ke Xu; Xiaoyao Liang (DATE, 2024)

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. - Zeyu Zhu; Fanrong Li; Gang Li 015; Zejian Liu; Zitao Mo; Qinghao Hu 001; Xiaoyao Liang; Jian Cheng 001 (HPCA, 2024)

Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity. - Xing Li; Zhuoran Song; Rachata Ausavarungnirun; Xiao Liu 033; Xueyuan Liu 001; Xuan Zhang 001; Xuhang Wang; Jiayao Ling; Gang Li 015; Naifeng Jing; Xiaoyao Liang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization. - Jiayao Ling; Gang Li 015; Qinghao Hu 001; Xiaolong Lin; Cheng Gu; Jian Cheng 001; Xiaoyao Liang (DATE, 2025)

Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers. - Cheng Gu; Gang Li 015; Xuan Zhang 001; Jiayao Ling; Xiaolong Lin; Zhuoran Song; Jian Cheng 001; Xiaoyao Liang (Euro-Par (2), 2025)

GSArch: Breaking Memory Barriers in 3D Gaussian Splatting Training via Architectural Support. - Houshu He; Gang Li 015; Fangxin Liu; Li Jiang 002; Xiaoyao Liang; Zhuoran Song (HPCA, 2025)

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation. - Xingting Yao; Qinghao Hu 001; Fei Zhou; Tielong Liu; Gang Li 015; Peisong Wang; Jian Cheng 001 (CoRR, 2025)

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. - Minnan Pei; Gang Li 015; Junwen Si; Zeyu Zhu; Zitao Mo; Peisong Wang; Zhuoran Song; Xiaoyao Liang; Jian Cheng 001 (CoRR, 2025)