DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform. - Sitao Huang; Guohao Dai; Yuliang Sun; Zilong Wang; Yu Wang 002; Huazhong Yang (HPCC/EUC, 2013)

Online scheduling for FPGA computation in the Cloud. - Guohao Dai; Yi Shan; Fei Chen; Yu Wang 002; Kun Wang; Huazhong Yang (FPT, 2014)

A self-aware data compression system on FPGA in Hadoop. - Yubin Li; Yuliang Sun; Guohao Dai; Yuzhi Wang; Jiacai Ni; Yu Wang 002; Guoliang Li 001; Huazhong Yang (FPT, 2015)

FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search. - Guohao Dai; Yuze Chi; Yu Wang 002; Huazhong Yang (FPGA, 2016)

Approximate Frequent Itemset Mining for streaming data on FPGA. - Yubin Li; Yuliang Sun; Guohao Dai; Qiang Xu 001; Yu Wang 002; Huazhong Yang (FPL, 2016)

NXgraph: An efficient graph processing system on a single machine. - Yuze Chi; Guohao Dai; Yu Wang 002; Guangyu Sun 003; Guoliang Li 001; Huazhong Yang (ICDE, 2016)

ForeGraph: Exploring Large-scale Graph Processing on Multi-FPGA Architecture. - Guohao Dai; Tianhao Huang; Yuze Chi; Ningyi Xu; Yu Wang 002; Huazhong Yang (FPGA, 2017)

HyVE: Hybrid vertex-edge memory hierarchy for energy-efficient graph processing. - Tianhao Huang; Guohao Dai; Yu Wang 002; Huazhong Yang (DATE, 2018)

NewGraph: Balanced Large-Scale Graph Processing on FPGAs with Low Preprocessing Overheads. - Guohao Dai; Tianhao Huang; Yu Wang 002; Huazhong Yang; John Wawrzynek (FCCM, 2018)

GraphIA: an in-situ accelerator for large-scale graph processing. - Gushu Li; Guohao Dai; Shuangchen Li; Yu Wang 002; Yuan Xie 001 (MEMSYS, 2018)

GraphSAR: a sparsity-aware processing-in-memory architecture for large-scale graph processing on ReRAMs. - Guohao Dai; Tianhao Huang; Yu Wang 002; Huazhong Yang; John Wawrzynek (ASP-DAC, 2019)

Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. - Kun Wu 002; Guohao Dai; Xing Hu 001; Shuangchen Li; Xinfeng Xie; Yu Wang 002; Yuan Xie 001 (DAC, 2019)

A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. - Zhenhua Zhu; Hanbo Sun; Yujun Lin 001; Guohao Dai; Lixue Xia; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2019)

Centrifuge: Evaluating full-system HLS-generated heterogenous-accelerator SoCs using FPGA-Acceleration. - Qijing Huang 001; Christopher Yarp; Sagar Karandikar; Nathan Pemberton; Benjamin Brock; Liang Ma 003; Guohao Dai; Robert Quitt; Krste Asanovic; John Wawrzynek (ICCAD, 2019)

HyVE: Hybrid Vertex-Edge Memory Hierarchy for Energy-Efficient Graph Processing. - Guohao Dai; Tianhao Huang; Yu Wang 002; Huazhong Yang; John Wawrzynek (IEEE Trans. Computers, 2019)

GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. - Guohao Dai; Tianhao Huang; Yuze Chi; Jishen Zhao; Guangyu Sun 003; Yongpan Liu; Yu Wang 002; Yuan Xie 001; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (DAC, 2020)

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Kai Zhong; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FCCM, 2020)

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (FPGA, 2020)

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Kai Zhong; Hanbo Sun; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FPGA, 2020)

An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining. - Ziqian Wan; Guohao Dai; Yun Joon Soh; Jishen Zhao; Yu Wang 002 (ACM Great Lakes Symposium on VLSI, 2020)

MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. - Zhenhua Zhu; Hanbo Sun; Kaizhong Qiu; Lixue Xia; Gokul Krishnan; Guohao Dai; Dimin Niu; Xiaoming Chen 003; Xiaobo Sharon Hu; Yu Cao 001; Yuan Xie 001; Yu Wang 002; et al. (ACM Great Lakes Symposium on VLSI, 2020)

LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. - Tianyu Fu 004; Ziqian Wan; Guohao Dai; Yu Wang 002; Huazhong Yang (HPEC, 2020)

GraphSDH: A General Graph Sampling Framework with Distribution and Hierarchy. - Jingbo Hu; Guohao Dai; Yu Wang 002; Huazhong Yang (HPEC, 2020)

GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks. - Guyue Huang; Guohao Dai; Yu Wang 002; Huazhong Yang (SC, 2020)

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 071; Hongren Zheng; Yusong Wu; Fan Zhang; Xinhao Yang; Yi Cai 003; Yu Wang 002; Huazhong Yang (FPGA, 2021)

Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. - Yitu Wang; Zhenhua Zhu; Fan Chen 001; Mingyuan Ma; Guohao Dai; Yu Wang 002; Hai Li 001; Yiran Chen 001 (ICCAD, 2021)

Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs. - Zhongming Yu; Guohao Dai; Guyue Huang; Yu Wang 002; Huazhong Yang (ICCD, 2021)

CogDL: An Extensive Toolkit for Deep Learning on Graphs. - Yukuo Cen; Zhenyu Hou; Yan Wang 120; Qibin Chen; Yizhen Luo; Xingcheng Yao; Aohan Zeng; Shiguang Guo; Peng Zhang 077; Guohao Dai; Yu Wang 002; Chang Zhou; et al. (CoRR, 2021)

Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. - Guyue Huang; Guohao Dai; Yu Wang 002; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

A one-for-all and o(v log(v ))-cost solution for parallel merge style operations on sorted key-value arrays. - Bangyan Wang; Lei Deng 003; Fei Sun; Guohao Dai; Liu Liu 017; Yu Wang 002; Yuan Xie 001 (ASPLOS, 2022)

Heuristic adaptability to input dynamics for SpMM on CPUs. - Guohao Dai; Guyue Huang; Shang Yang; Zhongming Yu; Hengrui Zhang; Yufei Ding 001; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (DAC, 2022)

Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. - Hanbo Sun; Chenyu Wang; Zhenhua Zhu; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2022)

Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. - Yu Zhu; Zhenhua Zhu; Guohao Dai; Kai Zhong; Huazhong Yang; Yu Wang 002 (DATE, 2022)

DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. - Guohao Dai; Zhenhua Zhu; Tianyu Fu 004; Chiyue Wei; Bangyan Wang; Xiangyu Li; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (ISCA, 2022)

Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. - Jun Liu 071; Zhenhua Zhu; Jingbo Hu; Hanbo Sun; Li Liu; Lingzhi Liu; Guohao Dai; Huazhong Yang; Yu Wang 002 (MDM, 2022)

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. - Hengrui Zhang; Zhongming Yu; Guohao Dai; Guyue Huang; Yufei Ding 001; Yuan Xie 001; Yu Wang 002 (MLSys, 2022)

Heuristic Adaptability to Input Dynamics for SpMM on GPUs. - Guohao Dai; Guyue Huang; Shang Yang; Zhongming Yu; Hengrui Zhang; Yufei Ding 001; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (CoRR, 2022)

GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. - Yiming Chen; Guohao Dai; Mufeng Zhou; Mingyen Lee; Nagadastagiri Challapalle; Guodong Yin; Zekun Yang; Yongpan Liu; Huazhong Yang; Vijaykrishnan Narayanan; Xueqing Li 002 (CoRR, 2022)

INCAME: Interruptible CNN Accelerator for Multirobot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Zhaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. - Kai Zhong; Xuefei Ning; Guohao Dai; Zhenhua Zhu; Tianchen Zhao; Shulin Zeng; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Shiyao Li; Guangjun Ge; Kai Zhong; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2022)

NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. - Wentao Hou; Kai Zhong; Shulin Zeng; Guohao Dai; Huazhong Yang; Yu Wang 002 (ASP-DAC, 2023)

High-Dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. - Shuo Yin; Guohao Dai; Wei W. Xing (ASP-DAC, 2023)

TorchSparse++: Efficient Point Cloud Engine. - Haotian Tang; Shang Yang; Zhijian Liu; Ke Hong; Zhongming Yu; Xiuyu Li; Guohao Dai; Yu Wang 002; Song Han 003 (CVPR Workshops, 2023)

Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. - Shiyao Li; Zhenhua Zhu; Yu Zhu; Qingpeng Zhu; Jiangwei Zhang; Wenxiu Sun; Guohao Dai; Fei Qiao; Huazhong Yang; Yu Wang 002 (DAC, 2023)

Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. - Yanfang Liu; Guohao Dai; Wei W. Xing (DAC, 2023)

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. - Xinhao Yang; Tianyu Fu 004; Guohao Dai; Shulin Zeng; Kai Zhong; Ke Hong; Yu Wang 002 (DAC, 2023)

Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. - Zhenhua Zhu; Jun Liu 071; Guohao Dai; Shulin Zeng; Bing Li; Huazhong Yang; Yu Wang 002 (DAC, 2023)

PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. - Yu Zhu; Zhenhua Zhu; Guohao Dai; Fengbin Tu; Hanbo Sun; Kwang-Ting Cheng; Huazhong Yang; Yu Wang 002 (DAC, 2023)

CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. - Tianyu Fu 004; Chiyue Wei; Zhenhua Zhu; Shang Yang; Zhongming Yu; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2023)

Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. - Hanbo Sun; Tongxin Xie; Zhenhua Zhu; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2023)

Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. - Yijia Zhang; Yibo Han; Shijie Cao; Guohao Dai; Youshan Miao; Ting Cao; Fan Yang 024; Ningyi Xu (ECAI, 2023)

A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS. - Yaoxiu Lian; Xinhao Yang; Ke Hong; Yu Wang 002; Guohao Dai; Ningyi Xu (ICCAD, 2023)

OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits. - Yanfang Liu; Guohao Dai; Yuanqing Cheng; Wang Kang 001; Wei W. Xing (ICCAD, 2023)

TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. - Jun Liu 071; Guohao Dai; Hao Xia; Lidong Guo; Xiangsheng Shi; Jiaming Xu; Huazhong Yang; Yu Wang 002 (ICCAD, 2023)

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. - Tianchen Zhao; Xuefei Ning; Ke Hong; Zhongyuan Qiu; Pu Lu; Yali Zhao; Linfeng Zhang 001; Lipu Zhou; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICCV, 2023)

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. - Haotian Tang; Shang Yang; Zhijian Liu; Ke Hong; Zhongming Yu; Xiuyu Li; Guohao Dai; Yu Wang 002; Song Han 003 (MICRO, 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 071; Haoyu Zhang; Guohao Dai; Zixuan Zhou; Shuangchen Li; Xuefei Ning; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (MICRO, 2023)

Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds. - Ke Hong; Zhongming Yu; Guohao Dai; Xinhao Yang; Yaoxiu Lian; Zehao Liu; Ningyi Xu; Yuhan Dong; Yu Wang 002 (MLSys, 2023)

HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. - Zhongming Yu; Guohao Dai; Shang Yang; Genghan Zhang; Hengrui Zhang; Feiwen Zhu; June Yang; Jishen Zhao; Yu Wang 002 (MLSys, 2023)

History-Detr: Optimize Query Initialization Strategy by Using Historical Information and Kinematics. - Weijie Luo; Zihao Liu; Guohao Dai; Ningyi Xu (MMAsia, 2023)

CogDL: A Comprehensive Library for Graph Deep Learning. - Yukuo Cen; Zhenyu Hou; Yan Wang 120; Qibin Chen; Yizhen Luo; Zhongming Yu; Hengrui Zhang; Xingcheng Yao; Aohan Zeng; Shiguang Guo; Yuxiao Dong; Yang Yang 009; et al. (WWW, 2023)

FlashDecoding++: Faster Large Language Model Inference on GPUs. - Ke Hong; Guohao Dai; Jiaming Xu; Qiuli Mao; Xiuhong Li; Jun Liu 071; Kangdi Chen; Yuhan Dong; Yu Wang 002 (CoRR, 2023)

Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. - Shulin Zeng; Guohao Dai; Niansong Zhang; Xinhao Yang; Haoyu Zhang; Zhenhua Zhu; Huazhong Yang; Yu Wang 002 (IEEE Trans. Computers, 2023)

Sgap: towards efficient sparse tensor algebra compilation for GPU. - Genghan Zhang; Yuetong Zhao; Yanting Tao; Zhongming Yu; Guohao Dai; Sitao Huang; Yuan Wen; Pavlos Petoumenos; Yu Wang 002 (CCF Trans. High Perform. Comput., 2023)

Adaptive Multidimensional Parallel Fault Simulation Framework on Heterogeneous System. - Jingbo Hu; Guohao Dai; Liuzheng Wang; Liyang Lai; Yu Huang; Huazhong Yang; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. - Hanbo Sun; Zhenhua Zhu; Chenyu Wang; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. - Zhenhua Zhu; Hanbo Sun; Tongxin Xie; Yu Zhu; Guohao Dai; Lixue Xia; Dimin Niu; Xiaoming Chen 003; Xiaobo Sharon Hu; Yu Cao 001; Yuan Xie 001; Huazhong Yang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. - Kai Zhong; Shulin Zeng; Wentao Hou; Guohao Dai; Zhenhua Zhu; Xuecang Zhang; Shihai Xiao; Huazhong Yang; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. - Kai Zhong; Zhenhua Zhu; Guohao Dai; Hongyi Wang; Xinhao Yang; Haoyu Zhang; Jin Si; Qiuli Mao; Shulin Zeng; Ke Hong; Genghan Zhang; Huazhong Yang; et al. (ASPLOS (3), 2024)

FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. - Lin Zhao; Tianchen Zhao; Zinan Lin 001; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (CVPR, 2024)

DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. - Hongyi Wang; Kai Zhong; Haoyu Zhang; Shulin Zeng; Zhenhua Zhu; Xinhao Yang; Shuang Wang; Guohao Dai; Huazhong Yang; Yu Wang 002 (DAC, 2024)

FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. - Xueyuan Liu 001; Zhuoran Song; Guohao Dai; Gang Li 015; Can Xiao; Yan Xiang; Dehui Kong; Ke Xu; Xiaoyao Liang (DATE, 2024)

DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. - Tongxin Xie; Tianchen Zhao; Zhenhua Zhu; Xuefei Ning; Bing Li; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2024)

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. - Tianchen Zhao; Xuefei Ning; Tongcheng Fang; Enshu Liu; Guyue Huang; Zinan Lin 001; Shengen Yan; Guohao Dai; Yu Wang 002 (ECCV (14), 2024)

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. - Luning Wang; Shiyao Li; Xuefei Ning; Zhihang Yuan; Shengen Yan; Guohao Dai; Yu Wang 002 (ENLSP, 2024)

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. - Shulin Zeng; Jun Liu 071; Guohao Dai; Xinhao Yang; Tianyu Fu 004; Hongyi Wang; Wenheng Ma; Hanbo Sun; Shiyao Li; Zixiao Huang; Yadong Dai; Jintao Li; et al. (FPGA, 2024)

MARCA: Mamba Accelerator with Reconfigurable Architecture. - Jinhao Li 006; Shan Huang 010; Jiaming Xu; Jun Liu 071; Li Ding 012; Ningyi Xu; Guohao Dai (ICCAD, 2024)

Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. - Jinhao Li 006; Jiaming Xu; Shiyao Li; Shan Huang 010; Jun Liu 071; Yaoxiu Lian; Guohao Dai (ICCAD, 2024)

Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. - Lidong Guo; Zhenhua Zhu; Tengxuan Liu; Xuefei Ning; Shiyao Li; Guohao Dai; Huazhong Yang; Wangyang Fu; Yu Wang 002 (ICCAD, 2024)

Evaluating Quantized Large Language Models. - Shiyao Li; Xuefei Ning; Luning Wang; Tengxuan Liu; Xiangsheng Shi; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICML, 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 071; Kangdi Chen; Yuhan Dong; Yu Wang 002 (MLSys, 2024)

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (NeurIPS, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Hanling Zhang; Lu Pu; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (NeurIPS, 2024)

Efficient Deployment of Large Language Model across Cloud-Device Systems. - Fan Yang; Zehao Wang; Haoyu Zhang; Zhenhua Zhu; Xinhao Yang; Guohao Dai; Yu Wang 002 (SOCC, 2024)

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. - Tao Yuan; Xuefei Ning; Dong Zhou; Zhijie Yang; Shiyao Li; Minghui Zhuang; Zheyue Tan; Zhuyu Yao; Dahua Lin; Boxun Li; Guohao Dai; Shengen Yan; et al. (CoRR, 2024)

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Matthew B. Blaschko; Sergey Yekhanin; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

A Survey on Efficient Inference for Large Language Models. - Zixuan Zhou; Xuefei Ning; Ke Hong; Tianyu Fu 004; Jiaming Xu; Shiyao Li; Yuming Lou; Luning Wang; Zhihang Yuan; Xiuhong Li; Shengen Yan; Guohao Dai; et al. (CoRR, 2024)

DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. - Yao Teng; Yue Wu; Han Shi; Xuefei Ning; Guohao Dai; Yu Wang 002; Zhenguo Li; Xihui Liu (CoRR, 2024)

HetHub: A Heterogeneous distributed hybrid training system for large-scale models. - Si Xu; Zixiao Huang; Yan Zeng; Shengen Yan; Xuefei Ning; Haolin Ye; Sipei Gu; Chunsheng Shui; Zhezheng Lin; Hao Zhang; Sheng Wang; Guohao Dai; et al. (CoRR, 2024)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Enshu Liu; Rui Wan; Widyadewi Soedarmadji; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Pu Lu; Hanling Zhang; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2024)

Can LLMs Learn by Teaching? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. - Tianyu Fu 004; Haofeng Huang; Xuefei Ning; Genghan Zhang; Boju Chen; Tianqi Wu; Hongyi Wang; Zixiao Huang; Shiyao Li; Shengen Yan; Guohao Dai; Huazhong Yang; et al. (CoRR, 2024)

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Matthew B. Blaschko; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective. - Jinhao Li 006; Jiaming Xu; Shan Huang 010; Yonghua Chen; Wen Li; Jun Liu 071; Yaoxiu Lian; Jiayi Pan; Li Ding 012; Hao Zhou; Yu Wang 002; Guohao Dai (CoRR, 2024)

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. - Haoyu Zhang; Jun Liu 071; Zhenhua Zhu; Shulin Zeng; Maojia Sheng; Tao Yang 042; Guohao Dai; Yu Wang 002 (CoRR, 2024)

Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach. - Yijia Zhang; Zhihong Gou; Shijie Cao; Weigang Feng; Sicheng Zhang; Guohao Dai; Ningyi Xu (CoRR, 2024)

E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling. - Zhihang Yuan; Yuzhang Shang; Hanling Zhang; Tongcheng Fang; Rui Xie; Bingxin Xu; Yan Yan 002; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2024)

GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility. - Yiming Chen; Mingyen Lee; Guohao Dai; Mufeng Zhou; Nagadastagiri Challapalle; Tianyi Wang; Yao Yu; Yongpan Liu; Yu Wang 002; Huazhong Yang; Vijaykrishnan Narayanan; Xueqing Li 002 (IEEE Trans. Emerg. Top. Comput., 2024)

Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. - Shiyao Li; Zhenhua Zhu; Hanbo Sun; Xuefei Ning; Guohao Dai; Yiming Hu; Huazhong Yang; Yu Wang 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow. - Li Ding 012; Jun Liu 071; Shan Huang 010; Guohao Dai (ASP-DAC, 2025)

LLSM: LLM-enhanced Logic Synthesis Model with EDA-guided CoT Prompting, Hybrid Embedding and AIG-tailored Acceleration. - Shan Huang 010; Jinhao Li 006; Zhen Yu; Jiancai Ye; Jiaming Xu; Ningyi Xu; Guohao Dai (ASP-DAC, 2025)

Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing. - Jiaming Xu; Jinhao Li 006; Jun Liu 071; Hao Zhou; Guohao Dai (ASP-DAC, 2025)

Deploying Diffusion Models with Scheduling Space Search and Memory Overflow Prevention Based on Graph Optimization. - Hao Zhou 008; Yang Liu 376; Hongji Wang; Enhao Tang; Shun Li; Yifan Zhang; Guohao Dai; Yongpan Liu; Kun Wang 005 (ASP-DAC, 2025)

MBQ: Modality-Balanced Quantization for Large Vision-Language Models. - Shiyao Li; Yingchun Hu; Xuefei Ning; Xihui Liu; Ke Hong; Xiaotao Jia; Xiuhong Li; Yaqi Yan; Pei Ran; Guohao Dai; Shengen Yan; Huazhong Yang; et al. (CVPR, 2025)

SoftmAP: Software-Hardware Co-Design for Integer-Only Softmax on Associative Processors. - Mariam Rakka; Jinhao Li 006; Guohao Dai; Ahmed M. Eltawil; Mohammed E. Fouda; Fadi J. Kurdahi (DATE, 2025)

AiSpGEMM: Accelerating Imbalanced SpGEMM on FPGAs with Flexible Interconnect and Intra-row Parallel Merging. - Enhao Tang; Shun Li; Hao Zhou; Guohao Dai; Jun Lin; Kun Wang (DATE, 2025)

DyLGNN: Efficient LM-GNN Fine-Tuning with Dynamic Node Partitioning, Low-Degree Sparsity, and Asynchronous Sub-Batch. - Zhen Yu; Jinhao Li 006; Jiaming Xu; Shan Huang 010; Jiancai Ye; Ningyi Xu; Guohao Dai (DATE, 2025)

FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs. - Jun Liu 071; Shulin Zeng; Li Ding 012; Widyadewi Soedarmadji; Hao Zhou; Zehao Wang; Jinhao Li 006; Jintao Li; Yadong Dai; Kairui Wen; Shan He; Yaqi Sun; et al. (FPGA, 2025)

FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. - Wenheng Ma; Xinhao Yang; Shulin Zeng; Tengxuan Liu; Libo Shen; Hongyi Wang; Shiyao Li; Jiewen Wang; Yuhan Zhang; Hao Guo; Jintao Li; Ziming Zhang; et al. (FPGA, 2025)

TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. - Jun Liu 071; Shulin Zeng; Junbo Zhao 001; Li Ding 012; Zeyu Wang; Jinhao Li 006; Zhenhua Zhu; Xuefei Ning; Chen Zhang; Yu Wang 002; Guohao Dai (HPCA, 2025)

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Shuaiqi Wang; Matthew B. Blaschko; Sergey Yekhanin; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICLR, 2025)

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. - Yao Teng; Han Shi; Xian Liu; Xuefei Ning; Guohao Dai; Yu Wang 002; Zhenguo Li; Xihui Liu (ICLR, 2025)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Haofeng Huang; Rui Wan; Widyadewi Soedarmadji; Enshu Liu; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; et al. (ICLR, 2025)

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale. - Ziyang Zheng; Shan Huang 010; Jianyuan Zhong; Zhengyuan Shi; Guohao Dai; Ningyi Xu; Qiang Xu 001 (ICLR, 2025)

SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting. - Jiaming Xu; Jiayi Pan; Yongkang Zhou; Siming Chen; Jinhao Li 006; Yaoxiu Lian; Junyi Wu; Guohao Dai (ISCA, 2025)

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. - Tianyu Fu 004; Tengxuan Liu; Qinghao Han; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2025)

DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. - Zhihang Yuan; Siyuan Wang; Rui Xie; Hanling Zhang; Tongcheng Fang; Yuzhang Shang; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2025)

Megrez-Omni Technical Report. - Boxun Li; Yadong Li; Zhiyuan Li; Congyi Liu; Weilin Liu; Guowei Niu; Zheyue Tan; Haiyang Xu; Zhuyu Yao; Tao Yuan; Dong Zhou; Yueqing Zhuang; et al. (CoRR, 2025)

A Point Transformer Accelerator With Distribution-Aware Heuristic Distance Calculation. - Yaoxiu Lian; Xinhao Yang; Ke Hong; Yu Wang 002; Ningyi Xu; Guohao Dai (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers. - Hanling Zhang; Rundong Su; Zhihang Yuan; Pengtao Chen; Mingzhu Shen; Yibo Fan; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2025)

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate. - Zhihang Yuan; Rui Xie; Yuzhang Shang; Hanling Zhang; Siyuan Wang; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2025)

FlashOverlap: A Lightweight Design for Efficiently Overlapping Communication and Computation. - Ke Hong; Xiuhong Li; Minxu Liu; Qiuli Mao; Tianqi Wu; Zixiao Huang; Lufang Chen; Zhong Wang; Yichong Zhang; Zhenhua Zhu; Guohao Dai; Yu Wang 002 (CoRR, 2025)

semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage. - Ke Hong; Lufang Chen; Zhong Wang; Xiuhong Li; Qiuli Mao; Jianping Ma; Chao Xiong; Guanyu Wu; Buhe Han; Guohao Dai; Yu Wang 002 (CoRR, 2025)

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs. - Tengxuan Liu; Shiyao Li; Jiayi Yang; Tianchen Zhao; Feng Zhou; Xiaohui Song; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang 002 (CoRR, 2025)

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. - Tianyu Fu 004; Yi Ge; Yichen You; Enshu Liu; Zhihang Yuan; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang 002 (CoRR, 2025)

HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension. - Shuai Yuan 016; Weifeng He; Zhenhua Zhu; Fangxin Liu; Zhuoran Song; Guohao Dai; Guanghui He; Yanan Sun 003 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Enabling Efficient Sparse Multiplications on GPUs With Heuristic Adaptability. - Jiaming Xu; Shan Huang 010; Jinhao Li 006; Guyue Huang; Yuan Xie 001; Yu Wang 002; Guohao Dai (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Reducing GPU Memory Fragmentation via Spatio-Temporal Planning for Efficient Large-Scale Model Training. - Zixiao Huang; Junhao Hu; Hao Lin; Chunyang Zhu; Yueran Tang; Quanlu Zhang; Zhen Guo; Zhenhua Li; Shengen Yan; Zhenhua Zhu; Guohao Dai; Yu Wang (CoRR, 2025)

Megrez2 Technical Report. - Boxun Li; Yadong Li; Zhiyuan Li; Congyi Liu; Weilin Liu; Guowei Niu; Zheyue Tan; Haiyang Xu; Zhuyu Yao; Tao Yuan; Dong Zhou; Yueqing Zhuang; et al. (CoRR, 2025)

Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. - Chen Zhang 001; Shijie Cao; Guohao Dai; Chenbo Geng; Zhuliang Yao; Wencong Xiao; Yunxin Liu 001; Ming Wu 007; Lintao Zhang; Guangyu Sun 003; Zhigang Ji; Runsheng Wang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models. - Hanling Zhang; Yayu Zhou; Tongcheng Fang; Zhihang Yuan; Guohao Dai; Yu Wang 002 (CoRR, 2025)