Efficient Parallelization of a Protein Sequence Comparison Algorithm on Manycore Architecture. - Xiaochun Ye; Van Hoa Nguyen; Dominique Lavenier; Dongrui Fan (PDCAT, 2008)

A Low-Complexity Synchronization Based Cache Coherence Solution for Many Cores. - Wei Lin 004; Dongrui Fan; He Huang; Nan Yuan; Xiaochun Ye (CIT (1), 2009)

A Fast Linear-Space Sequence Alignment Algorithm with Dynamic Parallelization Framework. - Xiaochun Ye; Dongrui Fan; Wei Lin 004 (CIT (1), 2009)

Godson-T: An Efficient Many-Core Architecture for Parallel Program Executions. - Dongrui Fan; Nan Yuan; Junchao Zhang; Yongbin Zhou; Wei Lin 004; Fenglong Song; Xiaochun Ye; He Huang; Lei Yu 012; Guoping Long; Hao Zhang 009; Lei Liu (J. Comput. Sci. Technol., 2009)

High performance comparison-based sorting algorithm on many-core GPUs. - Xiaochun Ye; Dongrui Fan; Wei Lin 004; Nan Yuan; Paolo Ienne (IPDPS, 2010)

High-efficient architecture of Godson-T many-core processor. - Dongrui Fan; Hao Zhang 009; Da Wang; Xiaochun Ye; Fenglong Song; Junchao Zhang; Lingjun Fan (Hot Chips Symposium, 2011)

CRAW/P: A Workload Partition Method for the Efficient Parallel Simulation of Manycores. - Shuai Jiao; Paolo Ienne; Xiaochun Ye; Da Wang; Dongrui Fan; Ninghui Sun (Euro-Par, 2012)

PartitionSim: A Parallel Simulator for Many-cores. - Shuai Jiao; Da Wang; Xiaochun Ye; Weizhi Xu 001; Hao Zhang 009; Ninghui Sun (HPCC-ICESS, 2012)

ALWP: A Workload Partition Method for the Efficient Parallel Simulation of Manycores. - Shuai Jiao; Da Wang; Xiaochun Ye; Weizhi Xu 001; Hao Zhang 009; Ninghui Sun (HPCC-ICESS, 2012)

Auto-Tuning GEMV on Many-Core GPU. - Weizhi Xu 001; Zhiyong Liu 002; Jun Wu; Xiaochun Ye; Shuai Jiao; Da Wang; Fenglong Song; Dongrui Fan (ICPADS, 2012)

Godson-T: An Efficient Many-Core Processor Exploring Thread-Level Parallelism. - Dongrui Fan; Hao Zhang 009; Da Wang; Xiaochun Ye; Fenglong Song; Guojie Li; Ninghui Sun (IEEE Micro, 2012)

An Efficient Parallel Mechanism for Highly-Debuggable Multicore Simulator. - Xiaochun Ye; Dongrui Fan; Da Wang; Fenglong Song; Hao Zhang 009; Zhimin Tang (APPT, 2013)

Low Execution Efficiency: When General Multi-core Processor Meets Wireless Communication Protocol. - Fenglong Song; Yasong Zheng; Futao Miao; Xiaochun Ye; Hao Zhang 009; Dongrui Fan; Zhiyong Liu 002 (HPCC/EUC, 2013)

SimICT: A fast and flexible framework for performance and power evaluation of large-scale architecture. - Xiaochun Ye; Dongrui Fan; Ninghui Sun; Shibin Tang; Mingzhe Zhang; Hao Zhang 009 (ISLPED, 2013)

A Path-Adaptive Opto-electronic Hybrid NoC for Chip Multi-processor. - Mingzhe Zhang; Da Wang; Xiaochun Ye; Liqiang He; Dongrui Fan; Zhiyong Liu 002 (TrustCom/ISPA/IUCC, 2013)

Efficiently and Completely Verifying Synchronized Consistency Models. - Yi Lv; Luming Sun; Xiaochun Ye; Dongrui Fan; Peng Wu 002 (ATVA, 2014)

Optimizing mapreduce with low memory requirements for shared-memory systems. - Yasong Zheng; Yuanchao Xu 003; Haibo Meng; Xiaochun Ye; Lingjun Fan; Futao Miao; Dongrui Fan (SNPD, 2014)

Fast and scalable lock methods for video coding on many-core architecture. - Weizhi Xu 001; Hui Yu 010; Dianjie Lu; Fenglong Song; Da Wang; Xiaochun Ye; Songwei Pei; Dongrui Fan; Hongtao Xie (J. Vis. Commun. Image Represent., 2014)

Thread ID based power reduction mechanism for multi-thread shared set-associative caches. - Wenming Li; Lingjun Fan; Zihou Wang; Xiaochun Ye; Da Wang; Hao Zhang 009; Liang Zhang; Dongrui Fan; Xianghui Xie 001 (IGSC, 2015)

A high-density data path implementation fitting for HTC applications. - Wenming Li; Liang Zhang; Xiaochun Ye; Da Wang; Hao Zhang 009; Zihou Wang; Dongrui Fan (IGSC, 2015)

Corrigendum to "Fast and scalable lock methods for video coding on many-core architecture" [J. Visual Communication and Image Representation 25(7) (2014) 1758-1762]. - Weizhi Xu 001; Hui Yu 010; Dianjie Lu; Fenglong Song; Da Wang; Xiaochun Ye; Songwei Pei; Dongrui Fan; Hongtao Xie (J. Vis. Commun. Image Represent., 2015)

POSTER: An Optimization of Dataflow Architectures for Scientific Applications. - Xiaowei Shen; Xiaochun Ye; Xu Tan 001; Da Wang; Zhimin Zhang 004; Dongrui Fan; Zhimin Tang (PACT, 2016)

A Percolation Data Migration Schema in a hybrid Cache Hierarchy. - Jiuchuan Hu; Dongrui Fan; Danping Li; Long Yan; Xiaochun Ye (IGSC, 2016)

On the properties of data migration based on topology pattern keeping on cache hierarchy. - Jiuchuan Hu; Dongrui Fan; Danping Li; Long Yan; Xiaochun Ye (IGSC, 2016)

Memory partition for SIMD in streaming dataflow architectures. - Xiaowei Shen; Xiaochun Ye; Xu Tan 001; Da Wang; Zhimin Zhang 004; Zhimin Tang; Dongrui Fan (IGSC, 2016)

A framework for energy-efficient optimization on multi-cores. - Yatao Zhu; Xiaochun Ye; Da Wang; Wenming Li; Yang Zhang; Dongrui Fan; Zhimin Zhang 004; Zhimin Tang (IGSC, 2016)

An energy-efficient bandwidth allocation method for single-chip heterogeneous processor. - Yatao Zhu; Shuai Zhang; Xiaochun Ye; Da Wang; Xu Tan 001; Dongrui Fan; Zhimin Zhang 004; Hongliang Li (IGSC, 2016)

ACCC: An Acceleration Mechanism for Character Operation Based on Cache Computing in Big Data Applications. - Yuqiong Qi; Lina Ma; Wenming Li; Xiaochun Ye; Da Wang; Dongrui Fan; Ninghui Sun (HPCC/SmartCity/DSS, 2016)

An Efficient Network-on-Chip Router for Dataflow Architecture. - Xiaowei Shen; Xiaochun Ye; Xu Tan 001; Da Wang; Lunkai Zhang; Wenming Li; Zhimin Zhang 004; Dongrui Fan; Ninghui Sun (J. Comput. Sci. Technol., 2017)

Optimizing network efficiency of dataflow architectures through dynamic packet merging. - Yujing Feng; Han Li 011; Xu Tan 001; Xiaochun Ye; Dongrui Fan; Zhimin Tang (IGSC, 2018)

SmarCo: An Efficient Many-Core Processor for High-Throughput Applications in Datacenters. - Dongrui Fan; Wenming Li; Xiaochun Ye; Da Wang; Hao Zhang 009; Zhimin Tang; Ninghui Sun (HPCA, 2018)

Optimizing the Efficiency of Data Transfer in Dataflow Architectures. - Yujing Feng; Taoran Xiang; Xiaochun Ye; Dongrui Fan; Da Wang; Dongdong Wu; Zhimin Tang (HPCC/SmartCity/DSS, 2018)

Accelerating CNN Algorithm with Fine-Grained Dataflow Architectures. - Taoran Xiang; Yujing Feng; Xiaochun Ye; Xu Tan 001; Wenming Li; Yatao Zhu; Meng Wu 006; Hao Zhang 009; Dongrui Fan (HPCC/SmartCity/DSS, 2018)

WEAVER: An Energy Efficient, General-Purpose Acceleration Architecture for String Operations in Big Data Applications. - Wenming Li; Xiaochun Ye; Da Wang; Hao Zhang 009; Dongdong Wu; Zhimin Zhang 004; Dongrui Fan (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

High-Performance and Energy-Efficient Fault Tolerance Scheduling Algorithm Based on Improved TMR for Heterogeneous System. - Shigan Yu; Zhimin Tang; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Zhiying (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

A Non-Stop Double Buffering Mechanism for Dataflow Architecture. - Xu Tan 001; Xiaowei Shen; Xiaochun Ye; Da Wang; Dongrui Fan; Lunkai Zhang; Wenming Li; Zhimin Zhang 004; Zhimin Tang (J. Comput. Sci. Technol., 2018)

A Pipelining Loop Optimization Method for Dataflow Architecture. - Xu Tan 001; Xiaochun Ye; Xiaowei Shen; Yuanchao Xu 003; Da Wang; Lunkai Zhang; Wenming Li; Dongrui Fan; Zhimin Tang (J. Comput. Sci. Technol., 2018)

Crosstalk-aware GA-based wavelength allocation method for ring-based optical network-on-chip. - Ziyi Chang; Hui Li 034; Zhuqin Chu; Huaxi Gu; Xiaochun Ye (ACM TUR-C, 2019)

Utilizing the Instability in Weakly Supervised Object Detection. - Boxiao Liu; Yan Gao 017; Nan Guo; Xiaochun Ye; Fang Wan 001; Haihang You; Dongrui Fan (CVPR Workshops, 2019)

Magma: A Monolithic 3D Vertical Heterogeneous ReRAM-based Main Memory Architecture. - Farzaneh Zokaee; Mingzhe Zhang; Xiaochun Ye; Dongrui Fan; Lei Jiang 001 (DAC, 2019)

C-MAP: Improving the Effectiveness of Mapping Method for CGRA by Reducing NoC Congestion. - Shuqian An; Mingzhe Zhang; Xiaochun Ye; Da Wang; Hao Zhang 009; Dongrui Fan; Zhimin Tang (HPCC/SmartCity/DSS, 2019)

A Sharing Path Awareness Scheduling Algorithm for Dataflow Architecture. - Yi Li 043; Xu Tan 001; Rui Xue; Xiaochun Ye; Wenming Li; Da Wang; Hao Zhang 009; Dongrui Fan (HPCC/SmartCity/DSS, 2019)

Highly Efficient Breadth-First Search on CPU-Based Single-Node System. - Chenglong Zhang; Huawei Cao; Xiaochun Ye; Guobo Wang; Qinfen Hao; Dongrui Fan (HPCC/SmartCity/DSS, 2019)

C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection. - Gao Yan; Boxiao Liu; Nan Guo; Xiaochun Ye; Fang Wan 001; Haihang You; Dongrui Fan (ICCV, 2019)

iATPG: Instruction-level Automatic Test Program Generation for Vulnerabilities under DVFS attack. - Kuozhong Zhang; Junying Huang; Jing Ye 001; Xiaochun Ye; Da Wang; Dongrui Fan; Huawei Li 001; Xiaowei Li 001; Zhimin Zhang 004 (IOLTS, 2019)

Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. - Mingyu Yan; Xing Hu 001; Shuangchen Li; Itir Akgun; Han Li 011; Xin Ma; Lei Deng 003; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Yuan Xie 001 (ISLPED, 2019)

Instruction Vulnerability Test and Code Optimization Against DVFS Attack. - Junying Huang; Jing Ye 001; Xiaochun Ye; Da Wang; Dongrui Fan; Huawei Li 001; Xiaowei Li 001; Zhimin Zhang 004 (ITC-Asia, 2019)

Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. - Mingyu Yan; Xing Hu 001; Shuangchen Li; Abanti Basak; Han Li 011; Xin Ma; Itir Akgun; Yujing Feng; Peng Gu; Lei Deng 003; Xiaochun Ye; Zhimin Zhang 004; et al. (MICRO, 2019)

Applying CNN on a scientific application accelerator based on dataflow architecture. - Xiaochun Ye; Taoran Xiang; Xu Tan 001; Yujing Feng; Haibin Wu; Meng Wu 006; Dongrui Fan (CCF Trans. High Perform. Comput., 2019)

Wavelength assignment method based on ACO to reduce crosstalk for ring-based optical Network-on-Chip. - Zhuqin Chu; Hui Li 034; Huaxi Gu; Xiaochun Ye (Microprocess. Microsystems, 2019)

PIM-WEAVER: A High Energy-efficient, General-purpose Acceleration Architecture for String Operations in Big Data Processing. - Wenming Li; Xiaochun Ye; Da Wang; Hao Zhang 009; Zhimin Tang; Dongrui Fan; Ninghui Sun (Sustain. Comput. Informatics Syst., 2019)

Design Automation Methodology from RTL to Gate-level Netlist and Schematic for RSFQ Logic Circuits. - Rongliang Fu; Zhimin Zhang 004; Guang-Ming Tang; Junying Huang; Xiaochun Ye; Dongrui Fan; Ninghui Sun (ACM Great Lakes Symposium on VLSI, 2020)

HyGCN: A GCN Accelerator with Hybrid Architecture. - Mingyu Yan; Lei Deng 003; Xing Hu 001; Ling Liang; Yujing Feng; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Yuan Xie 001 (HPCA, 2020)

CTA: A Critical Task Aware Scheduling Mechanism for Dataflow Architecture. - Yan Ou; Chongfei Shen; Yujing Feng; Xinxin Wu; Wenming Li; Xiaochun Ye; Dongrui Fan (ICA3PP (1), 2020)

Pixel-Semantic Revising of Position: One-Stage Object Detector with Shared Encoder-Decoder. - Qian Li; Nan Guo; Xiaochun Ye; Dongrui Fan; Zhimin Tang (ICONIP (4), 2020)

Highly Efficient and GPU-Friendly Implementation of BFS on Single-node System. - Rongyu Dong; Huawei Cao; Xiaochun Ye; Yuan Zhang; Qinfen Hao; Dongrui Fan (ISPA/BDCloud/SocialCom/SustainCom, 2020)

An Efficient Multicast Router using Shared-Buffer with Packet Merging for Dataflow Architecture. - Yi Li 043; Meng Wu 006; Wenming Li; Rui Xue; Dongrui Fan; Dan Li; Yuqing Ji; Xiaochun Ye (NOCS, 2020)

A Reliability-Aware Joint Design Method of Application Mapping and Wavelength Assignment for WDM-Based Silicon Photonic Interconnects on Chip. - Hui Li 034; Feiyang Liu; Huaxi Gu; Zhuqin Chu; Xiaochun Ye (IEEE Access, 2020)

Characterizing and Understanding GCNs on GPU. - Mingyu Yan; Zhaodong Chen; Lei Deng 003; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2020)

Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder. - Qian Li; Nan Guo; Xiaochun Ye; Dongrui Fan; Zhimin Tang; Honggang Chen; Wenming Li (CoRR, 2020)

Top-Related Meta-Learning Method for Few-Shot Detection. - Qian Li; Nan Guo; Duo Wang; Xiaochun Ye; Dongrui Fan; Zhimin Tang (CoRR, 2020)

Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search. - Qian Li; Nan Guo; Xiaochun Ye; Dongrui Fan; Zhimin Tang (CoRR, 2020)

An efficient dataflow accelerator for scientific applications. - Xiaochun Ye; Xu Tan 001; Meng Wu 006; Yujing Feng; Da Wang; Hao Zhang 009; Songwen Pei; Dongrui Fan (Future Gener. Comput. Syst., 2020)

3DACN: 3D Augmented convolutional network for time series data. - Songwen Pei; Tianma Shen; Xianrong Wang; Chunhua Gu; Zhong Ning; Xiaochun Ye; Naixue Xiong (Inf. Sci., 2020)

Streamline Ring ORAM Accesses through Spatial and Temporal Optimization. - Dingyuan Cao 002; Mingzhe Zhang; Hang Lu; Xiaochun Ye; Dongrui Fan; Yuezhi Che; Rujia Wang (HPCA, 2021)

Alleviating Imbalance in Synchronous Distributed Training of Deep Neural Networks. - Haiyang Lin; Mingyu Yan; Duo Wang; Wenming Li; Xiaochun Ye; Zhimin Tang; Dongrui Fan (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Scalable, resource and locality-aware selection of active scatterers in Geometry-based stochastic channel models. - Benjamin Rainer; Markus Hofer; Stefan Zelenbaba; David Löschenbrand; Thomas Zemen; Xiaochun Ye; Peter Priller (PIMRC, 2021)

Triangle Counting by Adaptively Resampling over Evolving Graph Streams. - Wei Xuan; Huawei Cao; Mingyu Yan; Zhimin Tang; Xiaochun Ye; Dongrui Fan (SEKE, 2021)

Hardware Acceleration for GCNs via Bidirectional Fusion. - Han Li 011; Mingyu Yan; Xiaocheng Yang; Lei Deng 003; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2021)

Scalable and efficient graph traversal on high-throughput cluster. - Dongrui Fan; Huawei Cao; Guobo Wang; Na Nie; Xiaochun Ye; Ninghui Sun (CCF Trans. High Perform. Comput., 2021)

RISC-NN: Use RISC, NOT CISC as Neural Network Hardware Infrastructure. - Taoran Xiang; Lunkai Zhang; Shuqian An; Xiaochun Ye; Mingzhe Zhang; Yanhuan Liu; Mingyu Yan; Da Wang; Hao Zhang 009; Wenming Li; Ninghui Sun; Dongrui Fan (CoRR, 2021)

Tackling Variabilities in Autonomous Driving. - Yuqiong Qi; Yang Hu 001; Haibin Wu; Shen Li; Haiyu Mao; Xiaochun Ye; Dongrui Fan; Ninghui Sun (CoRR, 2021)

BSR-TC: Adaptively Sampling for Accurate Triangle Counting over Evolving Graph Streams. - Wei Xuan; Huawei Cao; Mingyu Yan; Zhimin Tang; Xiaochun Ye; Dongrui Fan (Int. J. Softw. Eng. Knowl. Eng., 2021)

An efficient scheduling algorithm for dataflow architecture using loop-pipelining. - Yi Li 043; Meng Wu 006; Xiaochun Ye; Wenming Li; Rui Xue; Da Wang; Hao Zhang 009; Dongrui Fan (Inf. Sci., 2021)

Alleviating datapath conflicts and design centralization in graph analytics acceleration. - Haiyang Lin; Mingyu Yan; Duo Wang; Mo Zou; Fengbin Tu; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (DAC, 2022)

LRP: Predictive output activation based on SVD approach for CNN s acceleration. - Xinxin Wu; Zhihua Fan; Tianyu Liu; Wenming Li; Xiaochun Ye; Dongrui Fan (DATE, 2022)

WiLi - Vehicular Wireless Channel Dataset enriched with LiDAR and Radar Data. - Benjamin Rainer; Stefan Zelenbaba; Anja Dakic; Markus Hofer; David Löschenbrand; Thomas Zemen; Xiaochun Ye; Guo Nan; Stefan Teschl; Peter Priller (GLOBECOM, 2022)

HetGraph: A High Performance CPU-CGRA Architecture for Matrix-based Graph Analytics. - Long Tan; Mingyu Yan; Xiaochun Ye; Dongrui Fan (ACM Great Lakes Symposium on VLSI, 2022)

A Loop Optimization Method for Dataflow Architecture. - Zhihua Fan; Wenming Li; Tianyu Liu; Shengzhong Tang; Zhen Wang 045; Xuejun An; Xiaochun Ye; Dongrui Fan (HPCC/DSS/SmartCity/DependSys, 2022)

Parallel-Friendly and Work-Efficient Single Source Shortest Path Algorithm on Single-Node System. - Jie Zhang 130; Yuan Zhang; Yiming Sun; Huawei Cao; Xuejun An; Xiaochun Ye (HPCC/DSS/SmartCity/DependSys, 2022)

MatGraph: An Energy-Efficient and Flexible CGRA Engine for Matrix-Based Graph Analytics. - Long Tan; Mingyu Yan; Duo Wang; Wenming Li; Xiaochun Ye; Dongrui Fan (ICA3PP, 2022)

GEM: Execution-Aware Cache Management for Graph Analytics. - Mo Zou; Mingyu Yan; Wenming Li; Zhimin Tang; Xiaochun Ye; Dongrui Fan (ICA3PP, 2022)

Heterogeneous Collaborative Refining for Real-Time End-to-End Image-Text Retrieval System. - Nan Guo; Min Yang; Xiaoping Chen; Xiao Xiao; Chenhao Wang; Xiaochun Ye; Dongrui Fan (ICIAI, 2022)

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. - Xin Liu 073; Mingyu Yan; Lei Deng 003; Guoqi Li; Xiaochun Ye; Dongrui Fan; Shirui Pan; Yuan Xie 001 (IJCAI, 2022)

A Routing-Aware Mapping Method for Dataflow Architectures. - Zhihua Fan; Wenming Li; Tianyu Liu; Xuejun An; Xiaochun Ye; Dongrui Fan (NPC, 2022)

GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware. - Xin Liu 073; Mingyu Yan; Shuhan Song; Zhengyang Lv; Wenming Li; Guangyu Sun 003; Xiaochun Ye; Dongrui Fan (ECML/PKDD (5), 2022)

Characterizing and Understanding Distributed GNN Training on GPUs. - Haiyang Lin; Mingyu Yan; Xiaocheng Yang; Mo Zou; Wenming Li; Xiaochun Ye; Dongrui Fan (IEEE Comput. Archit. Lett., 2022)

Characterization and Implementation of Radar System Applications on a Reconfigurable Dataflow Architecture. - Yinshen Wang; Wenming Li; Tianyu Liu; Liangjiang Zhou; Bingnan Wang; Zhihua Fan; Xiaochun Ye; Dongrui Fan; Chibiao Ding (IEEE Comput. Archit. Lett., 2022)

Characterizing and Understanding HGNNs on GPUs. - Mingyu Yan; Mo Zou; Xiaocheng Yang; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2022)

Accelerating Graph Processing With Lightweight Learning-Based Data Reordering. - Mo Zou; Mingzhe Zhang; Rujia Wang; Xian-He Sun; Xiaochun Ye; Dongrui Fan; Zhimin Tang (IEEE Comput. Archit. Lett., 2022)

A survey on superconducting computing technology: circuits, architectures and design tools. - Junying Huang; Rongliang Fu; Xiaochun Ye; Dongrui Fan (CCF Trans. High Perform. Comput., 2022)

A synergistic reinforcement learning-based framework design in driving automation. - Yuqiong Qi; Yang Hu 001; Haibin Wu; Shen Li; Xiaochun Ye; Dongrui Fan (Comput. Electr. Eng., 2022)

Rethinking Efficiency and Redundancy in Training Large-scale Graphs. - Xin Liu 073; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Xiaochun Ye; Dongrui Fan (CoRR, 2022)

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey. - Xin Liu 073; Mingyu Yan; Lei Deng 003; Guoqi Li; Xiaochun Ye; Dongrui Fan (IEEE CAA J. Autom. Sinica, 2022)

Accelerating Data Transfer in Dataflow Architectures Through a Look-Ahead Acknowledgment Mechanism. - Yujing Feng; De-Jian Li; Xu Tan 001; Xiaochun Ye; Dongrui Fan; Wenming Li; Da Wang; Hao Zhang 009; Zhimin Tang (J. Comput. Sci. Technol., 2022)

JBNN: A Hardware Design for Binarized Neural Networks Using Single-Flux-Quantum Circuits. - Rongliang Fu; Junying Huang; Haibin Wu; Xiaochun Ye; Dongrui Fan; Tsung-Yi Ho (IEEE Trans. Computers, 2022)

Multi-Node Acceleration for Large-Scale GCNs. - Gongjian Sun; Mingyu Yan; Duo Wang; Han Li 011; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (IEEE Trans. Computers, 2022)

General spiking neural network framework for the learning trajectory from a noisy mmWave radar. - Xin Liu 073; Mingyu Yan; Lei Deng 003; Yujie Wu 002; De Han; Guoqi Li; Xiaochun Ye; Dongrui Fan (Neuromorph. Comput. Eng., 2022)

Simple and Efficient Heterogeneous Graph Neural Network. - Xiaocheng Yang; Mingyu Yan; Shirui Pan; Xiaochun Ye; Dongrui Fan (AAAI, 2023)

A High-accurate Multi-objective Exploration Framework for Design Space of CPU. - Duo Wang; Mingyu Yan; Xin Liu 073; Mo Zou; Tianyu Liu; Wenming Li; Xiaochun Ye; Dongrui Fan (DAC, 2023)

Improving Utilization of Dataflow Architectures Through Software and Hardware Co-Design. - Zhihua Fan; Wenming Li; Shengzhong Tang; Xuejun An; Xiaochun Ye; Dongrui Fan (Euro-Par, 2023)

JRouter: A Multi-Terminal Hierarchical Length-Matching Router under Planar Manhattan Routing Model for RSFQ Circuits. - Xinda Chen; Rongliang Fu; Junying Huang; Huawei Cao; Zhimin Zhang 004; Xiaochun Ye; Tsung-Yi Ho; Dongrui Fan (ACM Great Lakes Symposium on VLSI, 2023)

A High-accurate Multi-objective Ensemble Exploration Framework for Design Space of CPU Microarchitecture. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Xiaochun Ye; Dongrui Fan (ACM Great Lakes Symposium on VLSI, 2023)

ROMA: A Reconfigurable On-chip Memory Architecture for Multi-core Accelerators. - Shantian Qin; Wenming Li; Zhihua Fan; Zhen Wang 045; Tianyu Liu; Haibin Wu; Kunming Zhang; Xuejun An; Xiaochun Ye; Dongrui Fan (HPCC/DSS/SmartCity/DependSys, 2023)

Adaptive Sparse Deep Neural Network Inference on Resource-Constrained Cost-Efficient GPUs. - Ming Dun; Xu Zhang; Huawei Cao; Yuan Zhang; Junying Huang; Xiaochun Ye (HPEC, 2023)

A Transfer Learning Framework for High-Accurate Cross-Workload Design Space Exploration of CPU. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Haoran Dang; Xiaochun Ye; Dongrui Fan (ICCAD, 2023)

Alleviating Transfer Latency in DataFlow Accelerator for DSP Applications. - Haibin Wu; Wenming Li; Zhihua Fan; Zhen Wang 045; Tianyu Liu; Junying Huang; Shengzhong Tang; Yanhuan Liu; Kunming Zhang; Xiaochun Ye; Dongrui Fan (ICCD, 2023)

A Bucket-aware Asynchronous Single-Source Shortest Path Algorithm on GPU. - Yuan Zhang; Huawei Cao; Jie Zhang 130; Yiming Sun; Ming Dun; Junying Huang; Xuejun An; Xiaochun Ye (ICPP Workshops, 2023)

Hardware-in-the-Loop Framework for Testing Wireless V2X Communication. - Anja Dakic; Benjamin Rainer; Markus Hofer; Stefan Zelenbaba; Stefan Teschl; Guo Nan; Peter Priller; Xiaochun Ye; Thomas Zemen (WCNC, 2023)

Characterizing and Understanding Defense Methods for GNNs on GPUs. - Meng Wu 006; Mingyu Yan; Xiaocheng Yang; Wenming Li; Zhimin Zhang 004; Xiaochun Ye; Dongrui Fan (IEEE Comput. Archit. Lett., 2023)

A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives. - Zhengyang Lv; Mingyu Yan; Xin Liu 073; Mengyao Dong; Xiaochun Ye; Dongrui Fan; Ninghui Sun (CoRR, 2023)

Domain adaptive person re-identification with memory-based circular ranking. - Honggang Chen; Xing Cheng; Nan Guo; Xiaochun Ye; Xiao Xiao; Dongrui Fan (Appl. Intell., 2023)

Carbon Emissions Reduction of Neural Network by Discrete Rank Pruning. - Songwen Pei; Jie Luo; Sheng Liang; Haonan Ding; Xiaochun Ye; Mingsong Chen 001 (CCF Trans. High Perform. Comput., 2023)

FSGraph: fast and scalable implementation of graph traversal on GPUs. - Yuan Zhang; Huawei Cao; Yan Liang; Jie Zhang 130; Junying Huang; Xiaochun Ye; Xuejun An (CCF Trans. High Perform. Comput., 2023)

Design of a Compact Superconducting RSFQ Register File. - Kuozhong Zhang; Zhimin Zhang 004; Guang-Ming Tang; Xiaochun Ye (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

A Comprehensive Survey on Distributed Training of Graph Neural Networks. - Haiyang Lin; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Shirui Pan; Wenguang Chen; Yuan Xie 001 (Proc. IEEE, 2023)

Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation. - Zhihua Fan; Wenming Li; Zhen Wang 045; Tianyu Liu; Haibin Wu; Yanhuan Liu; Meng Wu 006; Xinxin Wu; Xiaochun Ye; Dongrui Fan; Ninghui Sun; Xuejun An (IEEE Trans. Parallel Distributed Syst., 2023)

GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling. - Runzhen Xue; Mingyu Yan; Dengke Han; Yihan Teng; Zhimin Tang; Xiaochun Ye; Dongrui Fan (DAC, 2024)

JPlace: A Clock-Aware Length-Matching Placement for Rapid Single-Flux-Quantum Circuits. - Siyan Chen; Rongliang Fu; Junying Huang; Zhimin Zhang 004; Xiaochun Ye; Tsung-Yi Ho; Dongrui Fan (DATE, 2024)

GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference. - Haoran Dang; Meng Wu 006; Mingyu Yan; Xiaochun Ye; Dongrui Fan (Euro-Par (2), 2024)

ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation. - Dengke Han; Meng Wu 006; Runzhen Xue; Mingyu Yan; Xiaochun Ye; Dongrui Fan (Euro-Par (2), 2024)

Disttack: Graph Adversarial Attacks Toward Distributed GNN Training. - Yuxiang Zhang 011; Xin Liu 073; Meng Wu 006; Wei Yan; Mingyu Yan; Xiaochun Ye; Dongrui Fan (Euro-Par (2), 2024)

Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels. - Meng Wu 006; Jingkai Qiu; Mingyu Yan; Wenming Li; Yang Zhang; Zhimin Zhang 004; Xiaochun Ye; Dongrui Fan (ICA3PP (3), 2024)

A Structure-Aware Graph Representation Learning Optimization. - Ping Li; Shuhan Song; Huawei Cao; Yuan Zhang; Zhimin Tang; Xiaochun Ye (IJCNN, 2024)

DTC: Real-Time and Accurate Distributed Triangle Counting in Fully Dynamic Graph Streams. - Wei Xuan; Yan Liang; Huawei Cao; Ning Lin; Xiaochun Ye; Dongrui Fan (SRDS, 2024)

Wireless V2X Communication Testbed for Connected, Cooperative and Automated Mobility. - Anja Dakic; Benjamin Rainer; Peter Priller; Guo Nan; Anamarija Momic; Xiaochun Ye; Thomas Zemen (VNC, 2024)

Characterizing and Understanding HGNN Training on GPUs. - Dengke Han; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Ninghui Sun (CoRR, 2024)

A Comprehensive Survey on GNN Characterization. - Meng Wu 006; Mingyu Yan; Wenming Li; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (CoRR, 2024)

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration. - Runzhen Xue; Mingyu Yan; Dengke Han; Zhimin Tang; Xiaochun Ye; Dongrui Fan (CoRR, 2024)

Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 2024)

Multilayer Dataflow: Orchestrate Butterfly Sparsity to Accelerate Attention Computation. - Haibin Wu; Wenming Li; Kai Yan; Zhihua Fan; Peiyang Wu; Yuqun Liu; Yanhuan Liu; Ziqing Qiang; Meng Wu 006; Kunming Liu; Xiaochun Ye; Dongrui Fan (CoRR, 2024)

Cost-Effective Label-free Node Classification with LLMs. - Taiyan Zhang; Renchi Yang; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Yurui Lai (CoRR, 2024)

Momentum Cross-Modal Contrastive Learning for Video Moment Retrieval. - De Han; Xing Cheng; Nan Guo; Xiaochun Ye; Benjamin Rainer; Peter Priller (IEEE Trans. Circuits Syst. Video Technol., 2024)

Improving Utilization of Dataflow Unit for Multi-Batch Processing. - Zhihua Fan; Wenming Li; Zhen Wang 045; Yu Yang; Xiaochun Ye; Dongrui Fan; Ninghui Sun; Xuejun An (ACM Trans. Archit. Code Optim., 2024)

MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures. - Duo Wang; Mingyu Yan; Yihan Teng; Dengke Han; Xin Liu 073; Wenming Li; Xiaochun Ye; Dongrui Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Skyway: Accelerate Graph Applications with a Dual-Path Architecture and Fine-Grained Data Management. - Mo Zou; Mingzhe Zhang; Rujia Wang; Xian-He Sun; Xiaochun Ye; Dong-Rui Fan; Zhimin Tang (J. Comput. Sci. Technol., 2024)

DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network. - Songwen Pei; Jiyao Wang; Bingxue Zhang; Wei Qin; Hai Xue; Xiaochun Ye; Mingsong Chen 001 (Mach. Learn., 2024)

HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation. - Runzhen Xue; Dengke Han; Mingyu Yan; Mo Zou; Xiaocheng Yang; Duo Wang; Wenming Li; Zhimin Tang; John Kim 001; Xiaochun Ye; Dongrui Fan (IEEE Trans. Parallel Distributed Syst., 2024)

Accelerating Authenticated Block Ciphers via RISC-V Custom Cryptography Instructions. - Yuhang Qiu; Wenming Li; Tianyu Liu; Zhen Wang 045; Zhiyuan Zhang; Zhihua Fan; Xiaochun Ye; Dongrui Fan; Zhimin Tang (DATE, 2025)

LiGNN: Accelerating GNN Training Through Locality-Aware Dropout. - Gongjian Sun; Mingyu Yan; Dengke Han; Runzhen Xue; Xiaochun Ye; Dongrui Fan (DATE, 2025)

ParTEE: A Framework for Secure Parallel Computing of RISC-V Trusted Execution Environments. - Hao Lan; Ziang Zhou; Qi Zhu; Wei Yan; Qinfen Hao; Xiaochun Ye; Yong Liu; Ninghui Sun (Euro-Par (2), 2025)

FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference. - Yudong Mu; Zhihua Fan; Xiaoxia Yao; Wenming Li; Zhiyuan Zhang; Honglie Wang; Xuejun An; Xiaochun Ye (Euro-Par (2), 2025)

CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration. - Yiming Sun; Jiaqi Zhang; Jie Zhang 130; Huawei Cao; Xuejun An; Xiaochun Ye (Euro-Par (1), 2025)

An Optimal DFF-Oriented Technology Legalization Algorithm for Rapid Single-Flux-Quantum Circuits. - Minglei Zhou; Rongliang Fu; Ran Zhang; Xiaochun Ye; Tsung-Yi Ho; Junying Huang (ACM Great Lakes Symposium on VLSI, 2025)

GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks. - Shuhan Song; Ping Li; Ming Dun; Maolei Huang; Huawei Cao; Xiaochun Ye (ICLR, 2025)

StreamDCIM: A Tile-based Streaming Digital CIM Accelerator with Mixed-stationary Cross-forwarding Dataflow for Multimodal Transformer. - Shantian Qin; Ziqing Qiang; Zhihua Fan; Wenming Li; Xuejun An; Xiaochun Ye; Dongrui Fan (ISCAS, 2025)

ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation. - Peiyang Wu; Nan Guo; Xiao Xiao; Wenming Li; Xiaochun Ye; Dongrui Fan (ISCAS, 2025)

Equipping Graph Autoencoders: Revisiting Masking Strategies from a Robustness Perspective. - Shuhan Song; Ping Li; Ming Dun; Yuan Zhang; Huawei Cao; Xiaochun Ye (SDM, 2025)

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs. - Taiyan Zhang; Renchi Yang; Yurui Lai; Mingyu Yan; Xiaochun Ye; Dongrui Fan (SIGIR, 2025)

SPMGAE: Self-purified masked graph autoencoders release robust expression power. - Shuhan Song; Ping Li; Ming Dun; Yuan Zhang; Huawei Cao; Xiaochun Ye (Neurocomputing, 2025)

Accelerating tensor multiplication by exploring hybrid product with hardware and software co-design. - Zhiyuan Zhang; Zhihua Fan; Wenming Li; Yuhang Qiu; Zhen Wang 045; Xiaochun Ye; Dongrui Fan; Xuejun An (J. Syst. Archit., 2025)

DropNaE: Alleviating irregularity for large-scale graph representation learning. - Xin Liu 073; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Songwen Pei; Lei Deng 003; Xiaochun Ye; Dongrui Fan (Neural Networks, 2025)

Characterizing and Understanding HGNN Training on GPUs. - Dengke Han; Mingyu Yan; Xiaochun Ye; Dongrui Fan (ACM Trans. Archit. Code Optim., 2025)

RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation. - Peiyang Wu; Nan Guo; Junliang Lv; Xiao Xiao; Xiaochun Ye (CoRR, 2025)

MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 2025)

Large Processor Chip Model. - Kaiyan Chang; Mingzhi Chen; Yunji Chen; Zhirong Chen; Dongrui Fan; Junfeng Gong; Nan Guo; Yinhe Han 001; Qinfen Hao; Shuo Hou; Xuanjing Huang 001; Pengwei Jin; et al. (CoRR, 2025)

Accelerating GNN Training through Locality-aware Dropout and Merge. - Gongjian Sun; Mingyu Yan; Dengke Han; Runzhen Xue; Duo Wang; Xiaochun Ye; Dongrui Fan (CoRR, 2025)

PANDA: Adaptive Prefetching and Decentralized Scheduling for Dataflow Architectures. - Shantian Qin; Zhihua Fan; Wenming Li; Zhen Wang 045; Xuejun An; Xiaochun Ye; Dongrui Fan (ACM Trans. Archit. Code Optim., 2025)

DFU-E: A Dataflow Architecture for Edge DSP and AI Applications. - Wenming Li; Zhihua Fan; Tianyu Liu; Zhen Wang 045; Haibin Wu; Meng Wu 006; Kunming Zhang; Yanhuan Liu; Ninghui Sun; Xiaochun Ye; Dongrui Fan (IEEE Trans. Parallel Distributed Syst., 2025)

Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack. - Xin Liu 073; Yuxiang Zhang 011; Meng Wu 006; Mingyu Yan; Kun He; Wei Yan; Shirui Pan; Xiaochun Ye; Dongrui Fan (IEEE Trans. Knowl. Data Eng., 2025)

TLV-HGNN: Thinking Like a Vertex for Memory-efficient HGNN Inference. - Dengke Han; Duo Wang; Mingyu Yan; Xiaochun Ye; Dongrui Fan (CoRR, 2025)

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration. - Runzhen Xue; Mingyu Yan; Dengke Han; Ziheng Xiao; Zhimin Tang; Xiaochun Ye; Dongrui Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)