Gang Li - RankMe

43 papers A* 9A 6B 2Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs. CoRR Zeyu Zhu, Gang Li, Peisong Wang, Zitao Mo, Minnan Pei, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2026	J	`jnl`	Towards efficient and accurate spiking neural networks via adaptive bit allocation. Neural Networks Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng
2025	J	`jnl`	An Efficient Bit-Sparse DNN Accelerator Exploiting Adaptive Bit-Serial Computations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiayao Ling, Gang Li, Xiaolong Lin, Cheng Gu, Xing Li, Jian Cheng, Xiaoyao Liang
2025	A*	`conf`	GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. MICRO Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025	J	`jnl`	GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. CoRR Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025	A*	`conf`	GSArch: Breaking Memory Barriers in 3D Gaussian Splatting Training via Architectural Support. HPCA Houshu He, Gang Li, Fangxin Liu, Li Jiang, Xiaoyao Liang, Zhuoran Song
2025	A*	`conf`	HEAT: NPU-NDP HEterogeneous Architecture for Transformer-Empowered Graph Neural Networks. MICRO Ruiyang Chen, Zhuoran Song, Yicheng Zheng, Zeyu Zhu, Gang Li, Naifeng Jing, Xiaoyao Liang, Haibing Guan
2025	B	`conf`	LISLLM: Long Context Inference of Large Language Models with Short KV Cache. ICPADS Tielong Liu, Gang Li, Zeyu Zhu, Zitao Mo, Xingting Yao, Jian Cheng
2025	—	`conf`	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers. Euro-Par (2) Cheng Gu, Gang Li, Xuan Zhang, Jiayao Ling, Xiaolong Lin, Zhuoran Song, Jian Cheng, Xiaoyao Liang
2025	A	`conf`	SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization. DATE Jiayao Ling, Gang Li, Qinghao Hu, Xiaolong Lin, Cheng Gu, Jian Cheng, Xiaoyao Liang
2025	J	`jnl`	Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation. CoRR Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng
2024	—	`conf`	FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. ASPLOS (4) Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024	J	`jnl`	FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. CoRR Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024	A	`conf`	FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. DATE Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang
2024	J	`jnl`	Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang
2024	A*	`conf`	MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
2023	A*	`conf`	$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
2023	J	`jnl`	A CoRR Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
2023	A*	`conf`	AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. DAC Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2023	J	`jnl`	Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning. IEEE Trans. Circuits Syst. II Express Briefs Zejian Liu, Gang Li, Jian Cheng
2023	J	`jnl`	Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Trans. Neural Networks Learn. Syst. Peisong Wang, Fanrong Li, Gang Li, Jian Cheng
2023	J	`jnl`	MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. CoRR Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
2023	A	`conf`	PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. DATE Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang
2022	J	`jnl`	Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Gang Li, Zejian Liu, Fanrong Li, Jian Cheng
2022	—	`conf`	PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. ECCV (11) Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
2022	J	`jnl`	PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. CoRR Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
2022	A*	`conf`	Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang
2021	J	`jnl`	Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR Gang Li, Zejian Liu, Fanrong Li, Jian Cheng
2021	A*	`conf`	Dynamic Dual Gating Neural Networks. ICCV Fanrong Li, Gang Li, Xiangyu He, Jian Cheng
2021	—	`conf`	EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) Zejian Liu, Fanrong Li, Gang Li, Jian Cheng
2021	A	`conf`	Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE Zejian Liu, Gang Li, Jian Cheng
2021	J	`jnl`	Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. CoRR Zejian Liu, Gang Li, Jian Cheng
2020	J	`jnl`	FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng
2020	A	`conf`	Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng
2020	B	`conf`	Ladder Pyramid Networks For Single Image Super-Resolution. ICIP Zitao Mo, Xiangyu He, Gang Li, Jian Chen
2020	A*	`conf`	Sparsity-Inducing Binarized Neural Networks. AAAI Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng
2019	—	`conf`	A System-Level Solution for Low-Power Object Detection. ICCV Workshops Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng
2019	J	`jnl`	A System-Level Solution for Low-Power Object Detection. CoRR Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
2018	A	`conf`	Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. DATE Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng
2018	J	`jnl`	BundleNet: Learning with Noisy Label via Sample Correlations. IEEE Access Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu
2018	J	`jnl`	Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
2018	J	`jnl`	Recent advances in efficient computation of deep convolutional neural networks. Frontiers Inf. Technol. Electron. Eng. Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
2018	—	`conf`	Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng