Guohao Dai - RankMe

182 papers A* 32A 30B 2C 1Misc 2Journal 87Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	BalanceGS: Algorithm-System Co-design for Efficient 3D Gaussian Splatting Training on GPU. ASP-DAC Junyi Wu, Jiaming Xu, Jinhao Li, Yongkang Zhou, Jiayi Pan, Xingyang Li, Guohao Dai
2026	J	`jnl`	CD-LLM: A Heterogeneous Multi-FPGA System for Batched Decoding of 70B+ LLMs Using a Compute-Dedicated Architecture. ACM Trans. Reconfigurable Technol. Syst. Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Ke Hong, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
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
2026	A	`conf`	Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering. EuroSys Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang
2026	A*	`conf`	MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation. AAAI Yaoxiu Lian, Hao Liang, Zhihong Gou, Yijia Zhang, Jiaming Xu, Guohao Dai, Ningyi Xu
2026	A	`conf`	STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal Planning. EuroSys Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang
2026	J	`jnl`	STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction. CoRR Jinhao Li, Yuxuan Cong, YingQiao Wang, Hao Xia, Shan Huang, Yijia Zhang, Ningyi Xu, Guohao Dai
2026	—	`conf`	SpAct-NDP: Efficient LLM Inference via Sparse Activation on NDP-GPU Heterogeneous Architecture. ASP-DAC Jiaming Xu, Tongxin Xie, Yongkang Zhou, Jinhao Li, Yaoxiu Lian, Zhenhua Zhu, Yu Wang, Guohao Dai
2026	A*	`conf`	SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation. AAAI Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai
2026	J	`jnl`	Towards Floating Point-Based AI Acceleration: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. ACM Trans. Design Autom. Electr. Syst. Lidong Guo, Zhenhua Zhu, Xuefei Ning, Tengxuan Liu, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang
2025	A*	`conf`	A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter)s Workload. DAC Yaoxiu Lian, Zhihong Gou, Yibo Han, Zhongming Yu, Jiaming Xu, Sheng Yuan, Zhilin Pei, Xingcheng Zhang, Ningyi Xu, Guohao Dai
2025	J	`jnl`	A Point Transformer Accelerator With Distribution-Aware Heuristic Distance Calculation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Ningyi Xu, Guohao Dai
2025	A*	`conf`	Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. ICLR Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
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`	AiSpGEMM: Accelerating Imbalanced SpGEMM on FPGAs with Flexible Interconnect and Intra-row Parallel Merging. DATE Enhao Tang, Shun Li, Hao Zhou, Guohao Dai, Jun Lin, Kun Wang
2025	J	`jnl`	BalanceGS: Algorithm-System Co-design for Efficient 3D Gaussian Splatting Training on GPU. CoRR Junyi Wu, Jiaming Xu, Jinhao Li, Yongkang Zhou, Jiayi Pan, Xingyang Li, Guohao Dai
2025	J	`jnl`	BitSnap: Checkpoint Sparsification and Quantization in LLM Training. CoRR Yanxin Peng, Qingping Li, Baodong Wu, Shigang Li, Guohao Dai, Shengen Yan, Yu Wang
2025	J	`jnl`	Cache-to-Cache: Direct Semantic Communication Between Large Language Models. CoRR Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang
2025	A*	`conf`	DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. ACM Multimedia Zhihang Yuan, Siyuan Wang, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Shengen Yan, Guohao Dai, Yu Wang
2025	J	`jnl`	DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. CoRR Zhihang Yuan, Siyuan Wang, Rui Xie, Hanling Zhang, Tongcheng Fang, Yuzhang Shang, Shengen Yan, Guohao Dai, Yu Wang
2025	A*	`conf`	DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale. ICLR Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai, Ningyi Xu, Qiang Xu
2025	J	`jnl`	DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale. CoRR Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai, Ningyi Xu, Qiang Xu
2025	—	`conf`	Deploying Diffusion Models with Scheduling Space Search and Memory Overflow Prevention Based on Graph Optimization. ASP-DAC Hao Zhou, Yang Liu, Hongji Wang, Enhao Tang, Shun Li, Yifan Zhang, Guohao Dai, Yongpan Liu, Kun Wang
2025	J	`jnl`	DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers. CoRR Hanling Zhang, Rundong Su, Zhihang Yuan, Pengtao Chen, Mingzhu Shen, Yibo Fan, Shengen Yan, Guohao Dai, Yu Wang
2025	J	`jnl`	Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation. CoRR Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang
2025	A	`conf`	DyLGNN: Efficient LM-GNN Fine-Tuning with Dynamic Node Partitioning, Low-Degree Sparsity, and Asynchronous Sub-Batch. DATE Zhen Yu, Jinhao Li, Jiaming Xu, Shan Huang, Jiancai Ye, Ningyi Xu, Guohao Dai
2025	—	`conf`	Efficient Inference for Large Language Models -Algorithm, Model, and System. EMNLP (Tutorial Abstracts) Xuefei Ning, Guohao Dai, Haoli Bai, Lu Hou, Yu Wang, Qun Liu
2025	J	`jnl`	Enabling Efficient Sparse Multiplications on GPUs With Heuristic Adaptability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiaming Xu, Shan Huang, Jinhao Li, Guyue Huang, Yuan Xie, Yu Wang, Guohao Dai
2025	A	`conf`	FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. FPGA Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Jiewen Wang, Yuhan Zhang, Hao Guo, Jintao Li, Ziming Zhang, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
2025	J	`jnl`	FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion. CoRR Zhuoran Zhu, Chunyang Zhu, Hao Lin, Xu Fu, Yiming Zhou, Quanlu Zhang, Zhenhua Li, Feng Qian, Chao Yu, Boxun Li, Guohao Dai, Yu Wang
2025	J	`jnl`	Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chen Zhang, Shijie Cao, Guohao Dai, Chenbo Geng, Zhuliang Yao, Wencong Xiao, Yunxin Liu, Ming Wu, Lintao Zhang, Guangyu Sun, Zhigang Ji, Runsheng Wang, Ru Huang
2025	J	`jnl`	FlashDecoding++Next: High Throughput LLM Inference With Latency and Memory Optimization. IEEE Trans. Computers Guohao Dai, Ke Hong, Qiuli Mao, Xiuhong Li, Jiaming Xu, Haofeng Huang, Hongtu Xia, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang
2025	J	`jnl`	FlashOverlap: A Lightweight Design for Efficiently Overlapping Communication and Computation. CoRR Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang
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	J	`jnl`	FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. CoRR Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
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	J	`jnl`	HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shuai Yuan, Weifeng He, Zhenhua Zhu, Fangxin Liu, Zhuoran Song, Guohao Dai, Guanghui He, Yanan Sun
2025	—	`conf`	LLSM: LLM-enhanced Logic Synthesis Model with EDA-guided CoT Prompting, Hybrid Embedding and AIG-tailored Acceleration. ASP-DAC Shan Huang, Jinhao Li, Zhen Yu, Jiancai Ye, Jiaming Xu, Ningyi Xu, Guohao Dai
2025	A*	`conf`	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. ICLR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2025	A*	`conf`	MBQ: Modality-Balanced Quantization for Large Vision-Language Models. CVPR Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025	J	`jnl`	Megrez-Omni Technical Report. CoRR Boxun Li, Yadong Li, Zhiyuan Li, Congyi Liu, Weilin Liu, Guowei Niu, Zheyue Tan, Haiyang Xu, Zhuyu Yao, Tao Yuan, Dong Zhou, Yueqing Zhuang, Shengen Yan, Guohao Dai, Yu Wang
2025	J	`jnl`	Megrez2 Technical Report. CoRR Boxun Li, Yadong Li, Zhiyuan Li, Congyi Liu, Weilin Liu, Guowei Niu, Zheyue Tan, Haiyang Xu, Zhuyu Yao, Tao Yuan, Dong Zhou, Yueqing Zhuang, Bo Zhao, Guohao Dai, Yu Wang
2025	J	`jnl`	PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs. CoRR Tengxuan Liu, Shiyao Li, Jiayi Yang, Tianchen Zhao, Feng Zhou, Xiaohui Song, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025	J	`jnl`	R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. CoRR Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025	J	`jnl`	RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation. CoRR Chao Yu, Yuanqing Wang, Zhen Guo, Hao Lin, Si Xu, Hongzhi Zang, Quanlu Zhang, Yongji Wu, Chunyang Zhu, Junhao Hu, Zixiao Huang, Mingjie Wei, Yuqing Xie, Ke Yang, Bo Dai, Zhexuan Xu, Xiangyuan Wang, Xu Fu, Zhihao Liu, Kang Chen, Weilin Liu, Gang Liu, Boxun Li, Jianlei Yang, Zhi Yang, Guohao Dai, Yu Wang
2025	J	`jnl`	ReXMoE: Reusing Experts with Minimal Overhead in Mixture-of-Experts. CoRR Zheyue Tan, Zhiyuan Liu, Tao Yuan, Dong Zhou, Weilin Liu, Yueqing Zhuang, Yadong Li, Guowei Niu, Cheng Qin, Zhuyu Yao, Congyi Liu, Haiyang Xu, Boxun Li, Guohao Dai, Bo Zhao, Yu Wang
2025	J	`jnl`	Reducing GPU Memory Fragmentation via Spatio-Temporal Planning for Efficient Large-Scale Model Training. CoRR Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang
2025	J	`jnl`	Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design. CoRR 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
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	J	`jnl`	SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation. CoRR Yao Teng, Zhihuan Jiang, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2025	—	`conf`	SOLA: Optimizing SLO Attainment for Large Language Model Serving with State-Aware Scheduling. MLSys Ke Hong, Xiuhong Li, Lufang Chen, Qiuli Mao, Guohao Dai, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang
2025	A	`conf`	SoftmAP: Software-Hardware Co-Design for Integer-Only Softmax on Associative Processors. DATE Mariam Rakka, Jinhao Li, Guohao Dai, Ahmed M. Eltawil, Mohammed E. Fouda, Fadi J. Kurdahi
2025	J	`jnl`	SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs. CoRR Jiaming Xu, Jiayi Pan, Hanzhen Wang, Yongkang Zhou, Jiancai Ye, Yu Wang, Guohao Dai
2025	J	`jnl`	SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation. CoRR Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai
2025	A*	`conf`	SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting. ISCA Jiaming Xu, Jiayi Pan, Yongkang Zhou, Siming Chen, Jinhao Li, Yaoxiu Lian, Junyi Wu, Guohao Dai
2025	J	`jnl`	SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting. CoRR Jiaming Xu, Jiayi Pan, Yongkang Zhou, Siming Chen, Jinhao Li, Yaoxiu Lian, Junyi Wu, Guohao Dai
2025	J	`jnl`	SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning. CoRR Hanzhen Wang, Jiaming Xu, Jiayi Pan, Yongkang Zhou, Guohao Dai
2025	J	`jnl`	TASP: Topology-aware Sequence Parallelism. CoRR Yida Wang, Ke Hong, Xiuhong Li, Yuanchao Xu, Wenxun Wang, Guohao Dai, Yu Wang
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	J	`jnl`	Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models. CoRR Tianyu Fu, Yichen You, Zekai Chen, Guohao Dai, Huazhong Yang, Yu Wang
2025	J	`jnl`	VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate. CoRR Zhihang Yuan, Rui Xie, Yuzhang Shang, Hanling Zhang, Siyuan Wang, Shengen Yan, Guohao Dai, Yu Wang
2025	—	`conf`	ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow. ASP-DAC Li Ding, Jun Liu, Shan Huang, Guohao Dai
2025	A*	`conf`	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. ICLR 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
2025	J	`jnl`	VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models. CoRR Hanling Zhang, Yayu Zhou, Tongcheng Fang, Zhihang Yuan, Guohao Dai, Yu Wang
2025	J	`jnl`	semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage. CoRR Ke Hong, Lufang Chen, Zhong Wang, Xiuhong Li, Qiuli Mao, Jianping Ma, Chao Xiong, Guanyu Wu, Buhe Han, Guohao Dai, Yu Wang
2024	J	`jnl`	A Survey on Efficient Inference for Large Language Models. CoRR 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
2024	J	`jnl`	Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. CoRR Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2024	J	`jnl`	Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach. CoRR Yijia Zhang, Zhihong Gou, Shijie Cao, Weigang Feng, Sicheng Zhang, Guohao Dai, Ningyi Xu
2024	—	`conf`	CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. ENLSP Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. CoRR Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang
2024	A*	`conf`	Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. NeurIPS Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	Can LLMs Learn by Teaching? A Preliminary Study. CoRR Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. CoRR Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2024	A*	`conf`	DiTFastAttn: Attention Compression for Diffusion Transformer Models. NeurIPS Zhihang Yuan, Hanling Zhang, Lu Pu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
2024	A	`conf`	DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
2024	A*	`conf`	DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. DAC Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling. CoRR Zhihang Yuan, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Bingxin Xu, Yan Yan, Shengen Yan, Guohao Dai, Yu Wang
2024	—	`conf`	Efficient Deployment of Large Language Model across Cloud-Device Systems. SOCC Fan Yang, Zehao Wang, Haoyu Zhang, Zhenhua Zhu, Xinhao Yang, Guohao Dai, Yu Wang
2024	J	`jnl`	Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
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`	Evaluating Quantized Large Language Models. ICML Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	Evaluating Quantized Large Language Models. CoRR Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024	—	`conf`	FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. ASPLOS (3) 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
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`	FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. CVPR Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, 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	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`	GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility. IEEE Trans. Emerg. Top. Comput. Yiming Chen, Mingyen Lee, Guohao Dai, Mufeng Zhou, Nagadastagiri Challapalle, Tianyi Wang, Yao Yu, Yongpan Liu, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li
2024	J	`jnl`	HetHub: A Heterogeneous distributed hybrid training system for large-scale models. CoRR Si Xu, Zixiao Huang, Yan Zeng, Shengen Yan, Xuefei Ning, Haolin Ye, Sipei Gu, Chunsheng Shui, Zhezheng Lin, Hao Zhang, Sheng Wang, Guohao Dai, Yu Wang
2024	J	`jnl`	LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. CoRR Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, 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`	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
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
2024	J	`jnl`	MBQ: Modality-Balanced Quantization for Large Vision-Language Models. CoRR Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2024	—	`conf`	MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. ECCV (14) Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR 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
2024	J	`jnl`	SoftmAP: Software-Hardware Co-design for Integer-Only Softmax on Associative Processors. CoRR Mariam Rakka, Jinhao Li, Guohao Dai, Ahmed M. Eltawil, Mohammed E. Fouda, Fadi J. Kurdahi
2024	J	`jnl`	Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. IEEE Trans. Circuits Syst. Video Technol. Shiyao Li, Zhenhua Zhu, Hanbo Sun, Xuefei Ning, Guohao Dai, Yiming Hu, Huazhong Yang, Yu Wang
2024	A	`conf`	Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. ICCAD Lidong Guo, Zhenhua Zhu, Tengxuan Liu, Xuefei Ning, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang
2024	J	`jnl`	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2023	A	`conf`	A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS. ICCAD Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu
2023	A*	`conf`	Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023	J	`jnl`	Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023	A	`conf`	Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	J	`jnl`	Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	J	`jnl`	Adaptive Multidimensional Parallel Fault Simulation Framework on Heterogeneous System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingbo Hu, Guohao Dai, Liuzheng Wang, Liyang Lai, Yu Huang, Huazhong Yang, Yu Wang
2023	A*	`conf`	An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang
2023	A	`conf`	CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang
2023	J	`jnl`	CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang
2023	A*	`conf`	CogDL: A Comprehensive Library for Graph Deep Learning. WWW 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
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	—	`conf`	Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds. MLSys Ke Hong, Zhongming Yu, Guohao Dai, Xinhao Yang, Yaoxiu Lian, Zehao Liu, Ningyi Xu, Yuhan Dong, 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	J	`jnl`	Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2023	—	`conf`	History-Detr: Optimize Query Initialization Strategy by Using Historical Information and Kinematics. MMAsia Weijie Luo, Zihao Liu, Guohao Dai, Ningyi Xu
2023	—	`conf`	HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang
2023	J	`jnl`	MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang
2023	A*	`conf`	Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. DAC Shiyao Li, Zhenhua Zhu, Yu Zhu, Qingpeng Zhu, Jiangwei Zhang, Wenxiu Sun, Guohao Dai, Fei Qiao, Huazhong Yang, Yu Wang
2023	A	`conf`	Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. DATE Hanbo Sun, Tongxin Xie, Zhenhua Zhu, Guohao Dai, Huazhong Yang, Yu Wang
2023	—	`conf`	NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. ASP-DAC Wentao Hou, Kai Zhong, Shulin Zeng, Guohao Dai, Huazhong Yang, Yu Wang
2023	A*	`conf`	PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, 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	J	`jnl`	Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. IEEE Trans. Computers Shulin Zeng, Guohao Dai, Niansong Zhang, Xinhao Yang, Haoyu Zhang, Zhenhua Zhu, Huazhong Yang, Yu Wang
2023	J	`jnl`	Sgap: towards efficient sparse tensor algebra compilation for GPU. CCF Trans. High Perform. Comput. Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, 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
2023	—	`conf`	TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
2023	A*	`conf`	TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
2023	J	`jnl`	TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
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	A*	`conf`	A one-for-all and ASPLOS Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie
2022	A*	`conf`	DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang
2022	A	`conf`	Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. DATE Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang
2022	J	`jnl`	Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang
2022	J	`jnl`	GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. CoRR Yiming Chen, Guohao Dai, Mufeng Zhou, Mingyen Lee, Nagadastagiri Challapalle, Guodong Yin, Zekun Yang, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li
2022	A	`conf`	Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2022	J	`jnl`	Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022	A*	`conf`	Heuristic adaptability to input dynamics for SpMM on CPUs. DAC Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022	J	`jnl`	INCAME: Interruptible CNN Accelerator for Multirobot Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Zhaoyang Shen, Yuanfan Xu, Guohao Dai, 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
2022	J	`jnl`	Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU. CoRR Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang
2022	—	`conf`	Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, 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
2021	J	`jnl`	CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR 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
2021	J	`jnl`	Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie
2021	C	`conf`	Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs. ICCD Zhongming Yu, Guohao Dai, Guyue Huang, Yu Wang, Huazhong Yang
2021	A	`conf`	Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen
2021	J	`jnl`	Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
2020	—	`conf`	An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining. ACM Great Lakes Symposium on VLSI Ziqian Wan, Guohao Dai, Yun Joon Soh, Jishen Zhao, Yu Wang
2020	A	`conf`	Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FPGA Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020	Misc	`conf`	Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FCCM Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020	J	`jnl`	Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. CoRR Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020	J	`jnl`	GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks. CoRR Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang
2020	A	`conf`	GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks. SC Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang
2020	—	`conf`	GraphSDH: A General Graph Sampling Framework with Distribution and Hierarchy. HPEC Jingbo Hu, Guohao Dai, Yu Wang, Huazhong Yang
2020	A*	`conf`	INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. DAC Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Chaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang
2020	A	`conf`	INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. FPGA Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Chaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang
2020	—	`conf`	LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. HPEC Tianyu Fu, Ziqian Wan, Guohao Dai, Yu Wang, Huazhong Yang
2020	—	`conf`	MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang
2019	A*	`conf`	A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang
2019	A	`conf`	Centrifuge: Evaluating full-system HLS-generated heterogenous-accelerator SoCs using FPGA-Acceleration. ICCAD Qijing Huang, Christopher Yarp, Sagar Karandikar, Nathan Pemberton, Benjamin Brock, Liang Ma, Guohao Dai, Robert Quitt, Krste Asanovic, John Wawrzynek
2019	J	`jnl`	GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Guohao Dai, Tianhao Huang, Yuze Chi, Jishen Zhao, Guangyu Sun, Yongpan Liu, Yu Wang, Yuan Xie, Huazhong Yang
2019	—	`conf`	GraphSAR: a sparsity-aware processing-in-memory architecture for large-scale graph processing on ReRAMs. ASP-DAC Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek
2019	J	`jnl`	HyVE: Hybrid Vertex-Edge Memory Hierarchy for Energy-Efficient Graph Processing. IEEE Trans. Computers Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek
2019	A*	`conf`	Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie
2018	—	`conf`	GraphIA: an in-situ accelerator for large-scale graph processing. MEMSYS Gushu Li, Guohao Dai, Shuangchen Li, Yu Wang, Yuan Xie
2018	A	`conf`	HyVE: Hybrid vertex-edge memory hierarchy for energy-efficient graph processing. DATE Tianhao Huang, Guohao Dai, Yu Wang, Huazhong Yang
2018	Misc	`conf`	NewGraph: Balanced Large-Scale Graph Processing on FPGAs with Low Preprocessing Overheads. FCCM Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek
2017	A	`conf`	ForeGraph: Exploring Large-scale Graph Processing on Multi-FPGA Architecture. FPGA Guohao Dai, Tianhao Huang, Yuze Chi, Ningyi Xu, Yu Wang, Huazhong Yang
2016	B	`conf`	Approximate Frequent Itemset Mining for streaming data on FPGA. FPL Yubin Li, Yuliang Sun, Guohao Dai, Qiang Xu, Yu Wang, Huazhong Yang
2016	A	`conf`	FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search. FPGA Guohao Dai, Yuze Chi, Yu Wang, Huazhong Yang
2016	A*	`conf`	NXgraph: An efficient graph processing system on a single machine. ICDE Yuze Chi, Guohao Dai, Yu Wang, Guangyu Sun, Guoliang Li, Huazhong Yang
2015	—	`conf`	A self-aware data compression system on FPGA in Hadoop. FPT Yubin Li, Yuliang Sun, Guohao Dai, Yuzhi Wang, Jiacai Ni, Yu Wang, Guoliang Li, Huazhong Yang
2015	J	`jnl`	NXgraph: An Efficient Graph Processing System on a Single Machine. CoRR Yuze Chi, Guohao Dai, Yu Wang, Guangyu Sun, Guoliang Li, Huazhong Yang
2014	—	`conf`	Online scheduling for FPGA computation in the Cloud. FPT Guohao Dai, Yi Shan, Fei Chen, Yu Wang, Kun Wang, Huazhong Yang
2013	—	`conf`	DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform. HPCC/EUC Sitao Huang, Guohao Dai, Yuliang Sun, Zilong Wang, Yu Wang, Huazhong Yang