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ORCIDGuohao Dai 0002
Person information
- affiliation: Qingyuan Research Institute, Shanghai Jiao Tong University, Shanghai, China
Other persons with the same name
- Guohao Dai — disambiguation page
- Guohao Dai 0001
![[0000-0002-8464-0130]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8464-0130")
— Shanghai Jiao Tong University, Shanghai, China
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2020 – today
- 2025
[c38]Li Ding, Jun Liu, Shan Huang, Guohao Dai:
ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow. ASP-DAC 2025: 148-154- [c37]Hao Zhou, Yang Liu, Hongji Wang, Enhao Tang, Shun Li, Yifan Zhang, Guohao Dai, Yongpan Liu, Kun Wang:
Deploying Diffusion Models with Scheduling Space Search and Memory Overflow Prevention Based on Graph Optimization. ASP-DAC 2025: 170-176 - [c36]Jiaming Xu, Jinhao Li, Jun Liu, Hao Zhou, Guohao Dai:
Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing. ASP-DAC 2025: 534-540 - [c35]Shan Huang, Jinhao Li, Zhen Yu, Jiancai Ye, Jiaming Xu, Ningyi Xu, Guohao Dai:
LLSM: LLM-enhanced Logic Synthesis Model with EDA-guided CoT Prompting, Hybrid Embedding and AIG-tailored Acceleration. ASP-DAC 2025: 974-980 - [c34]Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai:
SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering. CIKM 2025: 3866-3876 - [c33]Tianlang Zhao, Jun Liu, Xingyang Li, Li Ding, Jinhao Li, Shuaiheng Li, Jinbo Hu, Guohao Dai:
Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way. DAC 2025: 1-7 - [c32]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:
FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs. FPGA 2025: 2-13 - [c31]Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai:
TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. HPCA 2025: 949-962 - [c30]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. ICLR 2025 - [c29]Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. ICLR 2025 - [c28]Jiaming Xu, Jiayi Pan, Yongkang Zhou, Siming Chen, Jinhao Li, Yaoxiu Lian, Junyi Wu, Guohao Dai:
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting. ISCA 2025: 467-481 - [i23]Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. CoRR abs/2501.01986 (2025) - [i22]Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang:
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. CoRR abs/2505.21600 (2025) - [i21]Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang:
Cache-to-Cache: Direct Semantic Communication Between Large Language Models. CoRR abs/2510.03215 (2025) - [i20]Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang:
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation. CoRR abs/2510.21003 (2025) - [i19]Tianyu Fu, Yichen You, Zekai Chen, Guohao Dai, Huazhong Yang, Yu Wang:
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models. CoRR abs/2511.08577 (2025) - [i18]Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang:
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design. CoRR abs/2511.20048 (2025) - 2024
- [c27]Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang:
FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. ASPLOS (3) 2024: 349-366 - [c26]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. CVPR 2024: 16122-16131 - [c25]Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang:
DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. DAC 2024: 96:1-96:6 - [c24]Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang:
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. ECCV (14) 2024: 285-302 - [c23]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:
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA 2024: 223-234 - [c22]Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai:
Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. ICCAD 2024: 150:1-150:9 - [c21]Lidong Guo, Zhenhua Zhu, Tengxuan Liu, Xuefei Ning, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang:
Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. ICCAD 2024: 177:1-177:9 - [c20]Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai:
MARCA: Mamba Accelerator with Reconfigurable Architecture. ICCAD 2024: 234:1-234:9 - [c19]Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang:
FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics. MLSys 2024 - [c18]Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang:
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. NeurIPS 2024 - [i17]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:
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR abs/2401.03868 (2024) - [i16]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR abs/2403.16379 (2024) - [i15]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR abs/2404.02241 (2024) - [i14]Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang:
A Survey on Efficient Inference for Large Language Models. CoRR abs/2404.14294 (2024) - [i13]Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang:
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR abs/2405.17873 (2024) - [i12]Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR abs/2406.02540 (2024) - [i11]Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang:
Can LLMs Learn by Teaching? A Preliminary Study. CoRR abs/2406.14629 (2024) - [i10]Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR abs/2406.14909 (2024) - [i9]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR abs/2407.00945 (2024) - [i8]Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai:
MARCA: Mamba Accelerator with ReConfigurable Architecture. CoRR abs/2409.11440 (2024) - [i7]Jinhao Li, Jiaming Xu, Shan Huang, Yonghua Chen, Wen Li, Jun Liu, Yaoxiu Lian, Jiayi Pan, Li Ding, Hao Zhou, Yu Wang, Guohao Dai:
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective. CoRR abs/2410.04466 (2024) - [i6]Haoyu Zhang, Jun Liu, Zhenhua Zhu, Shulin Zeng, Maojia Sheng, Tao Yang, Guohao Dai, Yu Wang:
Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. CoRR abs/2410.20381 (2024) - 2023
- [j4]Shulin Zeng, Guohao Dai, Niansong Zhang, Xinhao Yang, Haoyu Zhang, Zhenhua Zhu, Huazhong Yang, Yu Wang:
Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. IEEE Trans. Computers 72(5): 1314-1328 (2023) - [j3]Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang:
CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4883-4896 (2023) - [c17]Wentao Hou, Kai Zhong, Shulin Zeng, Guohao Dai, Huazhong Yang, Yu Wang:
NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. ASP-DAC 2023: 645-650 - [c16]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops 2023: 202-209 - [c15]Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang:
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC 2023: 1-6 - [c14]Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang:
Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. DAC 2023: 1-6 - [c13]Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang:
CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE 2023: 1-6 - [c12]Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang:
TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. ICCAD 2023: 1-9 - [c11]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO 2023: 225-239 - [c10]Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang:
DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO 2023: 283-296 - [c9]Weijie Luo, Zihao Liu, Guohao Dai, Ningyi Xu:
History-Detr: Optimize Query Initialization Strategy by Using Historical Information and Kinematics. MMAsia 2023: 4:1-4:7 - [c8]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i5]Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang:
FlashDecoding++: Faster Large Language Model Inference on GPUs. CoRR abs/2311.01282 (2023) - [i4]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR abs/2311.12862 (2023) - [i3]Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai:
Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. CoRR abs/2311.16442 (2023) - 2022
- [j2]Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang:
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5421-5434 (2022) - [j1]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang:
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. 15(3): 24:1-24:31 (2022) - [c7]Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang:
Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. DATE 2022: 652-657 - [c6]Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang:
DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA 2022: 130-145 - [c5]Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang:
Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. MDM 2022: 179-184 - 2021
- [c4]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang:
3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. FPGA 2021: 228 - [i2]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - 2020
- [c3]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FCCM 2020: 102-110 - [c2]Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FPGA 2020: 317 - [c1]Tianyu Fu, Ziqian Wan, Guohao Dai, Yu Wang, Huazhong Yang:
LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. HPEC 2020: 1-7 - [i1]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. CoRR abs/2003.12101 (2020)
Coauthor Index
[c34] [c32] [c31] [c30] [c29] [i23] [i22] [i21] [i20] [i19] [i18] [c27] [c26] [c25] [c24] [c23] [c21] [c19] [c18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i7] [i6] [j4] [j3] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [i5] [i4] [j2] [j1] [c7] [c6] [c5] [c4] [i2] [c3] [c2] [c1] [i1]
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