Jun Liu

According to our database, Jun Liu authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DynSplit-KV: Dynamic Semantic Splitting for KVCache Compression in Efficient Long-Context LLM Inference.

Jiancai Ye, Jun Liu, Qingchen Li, Tianlang Zhao, Hanbin Zhang, Jiayi Pan, Ningyi Xu, Guohao Dai

CoRR, February, 2026

2025

TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core.

Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs.

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

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way.

Tianlang Zhao, Jun Liu, Xingyang Li, Li Ding, Jinhao Li, Shuaiheng Li, Jinbo Hu, Guohao Dai

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering.

Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing.

Jiaming Xu, Jinhao Li, Jun Liu, Hao Zhou, Guohao Dai

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow.

Li Ding, Jun Liu, Shan Huang, Guohao Dai

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search.

Haoyu Zhang, Jun Liu, Zhenhua Zhu, Shulin Zeng, Maojia Sheng, Tao Yang, Guohao Dai, Yu Wang

CoRR, 2024

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective.

Jinhao Li, Jiaming Xu, Shan Huang, Yonghua Chen, Wen Li, Jun Liu, Yaoxiu Lian, Jiayi Pan, Li Ding, Hao Zhou, Yu Wang, Guohao Dai

CoRR, 2024

FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics.

Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization.

Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

MARCA: Mamba Accelerator with Reconfigurable Architecture.

Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs.

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

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023

FlashDecoding++: Faster Large Language Model Inference on GPUs.

Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang

CoRR, 2023

DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search.

Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency.

Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search.

Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud.

Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang

ACM Trans. Reconfigurable Technol. Syst., 2022

Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter.

Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021

3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud.

Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021