Jun Liu - RankMe

23 papers A* 4A 7B 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DynSplit-KV: Dynamic Semantic Splitting for KVCache Compression in Efficient Long-Context LLM Inference. CoRR Jiancai Ye, Jun Liu, Qingchen Li, Tianlang Zhao, Hanbin Zhang, Jiayi Pan, Ningyi Xu, Guohao Dai
2025	—	`conf`	Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing. ASP-DAC Jiaming Xu, Jinhao Li, Jun Liu, Hao Zhou, Guohao Dai
2025	A	`conf`	FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs. FPGA Jun Liu, Shulin Zeng, Li Ding, Widyadewi Soedarmadji, Hao Zhou, Zehao Wang, Jinhao Li, Jintao Li, Yadong Dai, Kairui Wen, Shan He, Yaqi Sun, Yu Wang, Guohao Dai
2025	A*	`conf`	Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way. DAC Tianlang Zhao, Jun Liu, Xingyang Li, Li Ding, Jinhao Li, ShuaiHeng Li, Jinbo Hu, Guohao Dai
2025	A	`conf`	SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering. CIKM Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai
2025	A*	`conf`	TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. HPCA Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai
2025	—	`conf`	ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow. ASP-DAC Li Ding, Jun Liu, Shan Huang, Guohao Dai
2024	J	`jnl`	Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. CoRR Haoyu Zhang, Jun Liu, Zhenhua Zhu, Shulin Zeng, Maojia Sheng, Tao Yang, Guohao Dai, Yu Wang
2024	A	`conf`	Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. ICCAD Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai
2024	—	`conf`	FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics. MLSys Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang
2024	A	`conf`	FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang
2024	J	`jnl`	FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang
2024	J	`jnl`	Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective. CoRR Jinhao Li, Jiaming Xu, Shan Huang, Yonghua Chen, Wen Li, Jun Liu, Yaoxiu Lian, Jiayi Pan, Li Ding, Hao Zhou, Yu Wang, Guohao Dai
2024	J	`jnl`	MARCA: Mamba Accelerator with ReConfigurable Architecture. CoRR Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai
2024	A	`conf`	MARCA: Mamba Accelerator with Reconfigurable Architecture. ICCAD Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai
2023	A*	`conf`	DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang
2023	J	`jnl`	Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. CoRR Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai
2023	J	`jnl`	FlashDecoding++: Faster Large Language Model Inference on GPUs. CoRR Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang
2023	A*	`conf`	Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. DAC Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang
2023	A	`conf`	TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. ICCAD Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang
2022	J	`jnl`	A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang
2022	B	`conf`	Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. MDM Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang
2021	A	`conf`	3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. FPGA Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang