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Hai Jin 0001
Person information
- affiliation: Huazhong University of Science and Technology, School of Computer Science and Technology, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, Wuhan, China
- affiliation (1999 - 2000): University of Southern California, Los Angeles, CA, USA
- affiliation (1998 - 2000): University of Hong Kong, Hong Kong
- affiliation (PhD 1994): Huazhong University of Science and Technology, Wuhan, China
Other persons with the same name
- Hai Jin 0002 — Wayne State University, Department of Computer Science, Detroit, MI, USA
- Hai Jin 0003 — Taizhou University, Information Technology Center, Linhai, China
- Hai Jin 0004 — Zhejiang Sci-Tech University, College of Informatics and Electronics, Hangzhou, China
- Hai Jin 0005 — University of South Carolina, Department of Geography, Columbia, SC, USA
- Hai Jin 0006 — Beijing Institute of Technology, College of Sciences, China
- Hai Jin 0007 — Bayin Guoleng Vocational and Technical College, Economic Development Zone, Korla, China
- Hai Jin 0008 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Hai Jin 0009 — Beijing Institute of Technology, School of Mathematics and Statistics, China
- Hai Jin 0010 — State Grid Zhejiang Electric Power Co.Ltd. Jiaxing, Power Supply Company, Jiaxing, Zhejiang, China
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2020 – today
- 2024
- [j643]Xinyang Shen, Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin:
A heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems. CCF Trans. High Perform. Comput. 6(2): 150-163 (2024) - [j642]Yuanwei Sun, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang:
FPGA-based acceleration architecture for Apache Spark operators. CCF Trans. High Perform. Comput. 6(2): 192-205 (2024) - [j641]Hai Jin, Shuohua Dong, Xiaohai Dai, Yuandi Cai, Jiang Xiao:
Dispatcher: Resource-aware Nakamoto Blockchain via Hierarchical Topology and Adaptive Incentives. Distributed Ledger Technol. Res. Pract. 3(2): 10 (2024) - [j640]Daoliang He, Pingpeng Yuan, Hai Jin:
Answering reachability queries with ordered label constraints over labeled graphs. Frontiers Comput. Sci. 18(1): 181601 (2024) - [j639]Kun Wang, Song Wu, Shengbang Li, Zhuo Huang, Hao Fan, Chen Yu, Hai Jin:
Precise control of page cache for containers. Frontiers Comput. Sci. 18(2): 182102 (2024) - [j638]Ye Chi, Jianhui Yue, Xiaofei Liao, Haikun Liu, Hai Jin:
A hybrid memory architecture supporting fine-grained data migration. Frontiers Comput. Sci. 18(2): 182103 (2024) - [j637]Xiran Song, Hong Huang, Jianxun Lian, Hai Jin:
XGCN: a library for large-scale graph neural network recommendations. Frontiers Comput. Sci. 18(3): 183343 (2024) - [j636]Hongru Gao, Xiaofei Liao, Zhiyuan Shao, Kexin Li, Jiajie Chen, Hai Jin:
A survey on dynamic graph processing on GPUs: concepts, terminologies and systems. Frontiers Comput. Sci. 18(4) (2024) - [j635]Chilei Wang, Qiang-Sheng Hua, Hai Jin, Chaodong Zheng:
Massively parallel algorithms for fully dynamic all-pairs shortest paths. Frontiers Comput. Sci. 18(4): 184611 (2024) - [j634]Xinyang Shen, Xiaofei Liao, Long Zheng, Yu Huang, Dan Chen, Hai Jin:
ARCHER: a ReRAM-based accelerator for compressed recommendation systems. Frontiers Comput. Sci. 18(5): 185607 (2024) - [j633]Long Zheng, Yang Li, Jie Xin, Hai-Feng Liu, Ran Zheng, Xiaofei Liao, Hai Jin:
Minimal Context-Switching Data Race Detection with Dataflow Tracking. J. Comput. Sci. Technol. 39(2): 211-226 (2024) - [j632]Xiaofei Liao, Wen-Ju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao:
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. J. Comput. Sci. Technol. 39(2): 245-266 (2024) - [j631]Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. Proc. ACM Manag. Data 2(3): 115 (2024) - [j630]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chun-Xue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
QTCS: Efficient Query-Centered Temporal Community Search. Proc. VLDB Endow. 17(6): 1187-1199 (2024) - [j629]Xue Lin, Hong Huang, Zongya Li, Hai Jin:
Media Power Measuring via Emotional Contagion. J. Soc. Comput. 5(1): 15-35 (2024) - [j628]Hao Fan, Yiliang Ye, Shadi Ibrahim, Zhuo Huang, Xingru Li, Weibin Xue, Song Wu, Chen Yu, Xuanhua Shi, Hai Jin:
QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDs. ACM Trans. Archit. Code Optim. 21(1): 6:1-6:25 (2024) - [j627]Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun:
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73(1): 3-17 (2024) - [j626]Hai Jin, Zhanyang Zhu, Ligang He, Yuhao Li, Yusheng Hua, Xuanhua Shi:
MMDataLoader: Reusing Preprocessed Data Among Concurrent Model Training Tasks. IEEE Trans. Computers 73(2): 510-522 (2024) - [j625]Xin Niu, Yajing Huang, Zhiwei Wang, Chen Yu, Hai Jin:
Game-Based Adaptive FLOPs and Partition Point Decision Mechanism With Latency and Energy-Efficient Tradeoff for Edge Intelligence. IEEE Trans. Computers 73(4): 1099-1113 (2024) - [j624]Haikun Liu, Xiaozhong Jin, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang:
I/O Causality Based In-Line Data Deduplication for Non-Volatile Memory Enabled Storage Systems. IEEE Trans. Computers 73(5): 1327-1340 (2024) - [j623]Zhuo Huang, Qi Zhang, Hao Fan, Song Wu, Chen Yu, Hai Jin, Jun Deng, Jing Gu, Zhimin Tang:
Multi-Grained Trace Collection, Analysis, and Management of Diverse Container Images. IEEE Trans. Computers 73(7): 1698-1710 (2024) - [j622]Hang Huang, Honglei Wang, Jia Rao, Song Wu, Hao Fan, Chen Yu, Hai Jin, Kun Suo, Lisong Pan:
vKernel: Enhancing Container Isolation via Private Code and Data. IEEE Trans. Computers 73(7): 1711-1723 (2024) - [j621]Hongfei Wang, Ziqiang Zhang, Hongcan Xiong, Dongmian Zou, Yu Chen, Hai Jin:
GRAND: A Graph Neural Network Framework for Improved Diagnosis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1288-1301 (2024) - [j620]Long Zheng, Ao Hu, Qinggang Wang, Yu Huang, Haoqin Huang, Pengcheng Yao, Shuyi Xiong, Xiaofei Liao, Hai Jin:
PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1318-1331 (2024) - [j619]Runze Wang, Ao Hu, Long Zheng, Qinggang Wang, Jingrui Yuan, Haifeng Liu, Linchen Yu, Xiaofei Liao, Hai Jin:
An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1360-1373 (2024) - [j618]Huize Li, Hai Jin, Long Zheng, Xiaofei Liao, Yu Huang, Cong Liu, Jiahong Xu, Zhuohui Duan, Dan Chen, Chuangyi Gui:
CPSAA: Accelerating Sparse Attention Using Crossbar-Based Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1741-1754 (2024) - [j617]Lin Chen, Xiaofeng Ding, Mengqi Li, Hai Jin:
Differentially Private Federated Learning With Importance Client Sampling. IEEE Trans. Consumer Electron. 70(1): 3635-3649 (2024) - [j616]Bin Yuan, Maogen Yang, Zheng Xu, Qunjinming Chen, Zhanxiang Song, Zhen Li, Deqing Zou, Hai Jin:
Leakage of Authorization-Data in IoT Device Sharing: New Attacks and Countermeasure. IEEE Trans. Dependable Secur. Comput. 21(4): 3196-3210 (2024) - [j615]Haochen Dou, Zhenwu Dan, Peng Xu, Wei Wang, Shuning Xu, Tianyang Chen, Hai Jin:
Dynamic Searchable Symmetric Encryption With Strong Security and Robustness. IEEE Trans. Inf. Forensics Secur. 19: 2370-2384 (2024) - [j614]Weiqi Dai, Jinkai Liu, Yang Zhou, Kim-Kwang Raymond Choo, Xia Xie, Deqing Zou, Hai Jin:
PRBFPT: A Practical Redactable Blockchain Framework With a Public Trapdoor. IEEE Trans. Inf. Forensics Secur. 19: 2425-2437 (2024) - [j613]Jianrong Lu, Shengshan Hu, Wei Wan, Minghui Li, Leo Yu Zhang, Lulu Xue, Hai Jin:
Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 5405-5418 (2024) - [j612]Bin Yuan, Chi Zhang, Jiajun Ren, Qunjinming Chen, Biang Xu, Qiankun Zhang, Zhen Li, Deqing Zou, Fan Zhang, Hai Jin:
Toward Automated Attack Discovery in SDN Controllers Through Formal Verification. IEEE Trans. Netw. Serv. Manag. 21(3): 3636-3655 (2024) - [j611]Haojun Zhao, Yueming Wu, Deqing Zou, Hai Jin:
An Empirical Study on Android Malware Characterization by Social Network Analysis. IEEE Trans. Reliab. 73(1): 757-770 (2024) - [j610]Yueming Wu, Siyue Feng, Wenqi Suo, Deqing Zou, Hai Jin:
Goner: Building Tree-Based N-Gram-Like Model for Semantic Code Clone Detection. IEEE Trans. Reliab. 73(2): 1310-1324 (2024) - [j609]Kexin Li, Shaoxian Xu, Zhiyuan Shao, Ran Zheng, Xiaofei Liao, Hai Jin:
ScalaBFS2: A High-performance BFS Accelerator on an HBM-enhanced FPGA Chip. ACM Trans. Reconfigurable Technol. Syst. 17(2): 32:1-32:39 (2024) - [c930]Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin:
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. AAAI 2024: 9431-9439 - [c929]Zhaobo Zhang, Rui Gan, Pingpeng Yuan, Hai Jin:
Correcting Pronoun Homophones with Subtle Semantics in Chinese Speech Recognition. LREC/COLING 2024: 4047-4058 - [c928]Zhenyu Qian, Yiming Qian, Yuting Song, Fei Gao, Hai Jin, Chen Yu, Xia Xie:
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing. LREC/COLING 2024: 8035-8049 - [c927]Hongfei Wang, Chenliang Luo, Deqing Zou, Hai Jin, Wenjie Cai:
Gradient Boosting-Accelerated Evolution for Multiple-Fault Diagnosis. DATE 2024: 1-6 - [c926]Hao Qi, Yiyang Wu, Ligang He, Yu Zhang, Kang Luo, Minzhi Cai, Hai Jin, Zhan Zhang, Jin Zhao:
LSGraph: A Locality-centric High-performance Streaming Graph Engine. EuroSys 2024: 33-49 - [c925]Shaoxian Xu, Sitong Lu, Zhiyuan Shao, Xiaofei Liao, Hai Jin:
MiCache: An MSHR-inclusive Non-blocking Cache Design for FPGAs. FPGA 2024: 22-32 - [c924]Fuping Niu, Jianhui Yue, Jiangqiu Shen, Xiaofei Liao, Hai Jin:
FlashGNN: An In-SSD Accelerator for GNN Training. HPCA 2024: 361-378 - [c923]Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin:
MISA: Unveiling the Vulnerabilities in Split Federated Learning. ICASSP 2024: 6435-6439 - [c922]Jianjun Zhao, Haikun Liu, Shuhao Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang:
Fast Parallel Recovery for Transactional Stream Processing on Multicores. ICDE 2024: 1478-1491 - [c921]Feng Cheng, Jiang Xiao, Cunyang Liu, Shijie Zhang, Yifan Zhou, Bo Li, Baochun Li, Hai Jin:
SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding. ICDE 2024: 2068-2081 - [c920]Zhen Li, Ning Wang, Deqing Zou, Yating Li, Ruqian Zhang, Shouhuai Xu, Chao Zhang, Hai Jin:
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities. ICSE 2024: 157:1-157:12 - [c919]Siyue Feng, Wenqi Suo, Yueming Wu, Deqing Zou, Yang Liu, Hai Jin:
Machine Learning is All You Need: A Simple Token-based Approach for Effective Code Clone Detection. ICSE 2024: 222:1-222:13 - [c918]Xiaohai Dai, Guanxiong Wang, Jiang Xiao, Zhengxuan Guo, Rui Hao, Xia Xie, Hai Jin:
LightDAG: A Low-latency DAG-based BFT Consensus through Lightweight Broadcast. IPDPS 2024: 998-1008 - [c917]Hao Wu, Yue Yu, Junxiao Deng, Shadi Ibrahim, Song Wu, Hao Fan, Ziyue Cheng, Hai Jin:
StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow. USENIX ATC 2024: 59-73 - [c916]Bing Tian, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang:
Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs. USENIX ATC 2024: 1135-1150 - [c915]Siyue Feng, Yueming Wu, Wenjie Xue, Sikui Pan, Deqing Zou, Yang Liu, Hai Jin:
FIRE: Combining Multi-Stage Filtering with Taint Analysis for Scalable Recurring Vulnerability Detection. USENIX Security Symposium 2024 - [c914]Kang Chen, Ming Wen, Haoxiang Jia, Rongxin Wu, Hai Jin:
Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection. SANER 2024: 320-331 - [e24]Hai Jin, Zhiwen Yu, Chen Yu, Xiaokang Zhou, Zeguang Lu, Xianhua Song:
Green, Pervasive, and Cloud Computing - 18th International Conference, GPC 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14503, Springer 2024, ISBN 978-981-99-9892-0 [contents] - [e23]Hai Jin, Zhiwen Yu, Chen Yu, Xiaokang Zhou, Zeguang Lu, Xianhua Song:
Green, Pervasive, and Cloud Computing - 18th International Conference, GPC 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14504, Springer 2024, ISBN 978-981-99-9895-1 [contents] - [e22]Hai Jin, Yi Pan, Jianfeng Lu:
Artificial Intelligence and Machine Learning - First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science 2058, Springer 2024, ISBN 978-981-97-1276-2 [contents] - [e21]Hai Jin, Yi Pan, Jianfeng Lu:
Data Science and Information Security - First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 2059, Springer 2024, ISBN 978-981-97-1279-3 [contents] - [e20]Hai Jin, Yi Pan, Jianfeng Lu:
Computer Networks and IoT - First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part III. Communications in Computer and Information Science 2060, Springer 2024, ISBN 978-981-97-1331-8 [contents] - [i74]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR abs/2401.00288 (2024) - [i73]Zhen Li, Ning Wang, Deqing Zou, Yating Li, Ruqian Zhang, Shouhuai Xu, Chao Zhang, Hai Jin:
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities. CoRR abs/2401.09767 (2024) - [i72]Dezhong Yao, Tongtong Liu, Qi Cao, Hai Jin:
FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement. CoRR abs/2401.11089 (2024) - [i71]Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie, Hai Jin:
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR abs/2403.04483 (2024) - [i70]Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin:
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. CoRR abs/2403.10801 (2024) - [i69]Tianyang Chen, Peng Xu, Stjepan Picek, Bo Luo, Willy Susilo, Hai Jin, Kaitai Liang:
The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption. CoRR abs/2403.15052 (2024) - [i68]Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Xuanhua Shi, Hai Jin:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. CoRR abs/2403.16792 (2024) - [i67]Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Pan Zhou, Hai Jin, Lichao Sun:
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. CoRR abs/2404.14296 (2024) - [i66]Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR abs/2404.15687 (2024) - [i65]Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. CoRR abs/2404.17136 (2024) - [i64]Matthew Watson, Divyashree Shivakumar Sreepathihalli, François Chollet, Martin Görner, Kiranbir Sodhia, Ramesh Sampath, Tirth Patel, Hai Jin, Neel Kovelamudi, Gabriel Rasskin, Samaneh Saadat, Luke Wood, Chen Qian, Jonathan Bischof, Ian Stenbit, Abheesht Sharma, Anshuman Mishra:
KerasCV and KerasNLP: Vision and Language Power-Ups. CoRR abs/2405.20247 (2024) - [i63]Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang:
No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR abs/2405.20681 (2024) - [i62]Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin:
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. CoRR abs/2406.03718 (2024) - [i61]Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin:
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification. CoRR abs/2406.15093 (2024) - [i60]Xiaohai Dai, Zhaonan Zhang, Jiang Xiao, Jingtao Yue, Xia Xie, Hai Jin:
GradedDAG: An Asynchronous DAG-based BFT Consensus with Lower Latency. IACR Cryptol. ePrint Arch. 2024: 142 (2024) - [i59]Xiaohai Dai, Guanxiong Wang, Jiang Xiao, Zhengxuan Guo, Rui Hao, Xia Xie, Hai Jin:
LightDAG: A Low-latency DAG-based BFT Consensus through Lightweight Broadcast. IACR Cryptol. ePrint Arch. 2024: 160 (2024) - [i58]Xiaohai Dai, Chaozheng Ding, Hai Jin, Julian Loss, Ling Ren:
Ipotane: Achieving the Best of All Worlds in Asynchronous BFT. IACR Cryptol. ePrint Arch. 2024: 653 (2024) - [i57]Yuandi Cai, Ru Cheng, Yifan Zhou, Shijie Zhang, Jiang Xiao, Hai Jin:
Enabling Complete Atomicity for Cross-chain Applications Through Layered State Commitments. IACR Cryptol. ePrint Arch. 2024: 1084 (2024) - 2023
- [j608]Jiang Xiao, Huichuwu Li, Minrui Wu, Hai Jin, M. Jamal Deen, Jiannong Cao:
A Survey on Wireless Device-free Human Sensing: Application Scenarios, Current Solutions, and Open Issues. ACM Comput. Surv. 55(5): 88:1-88:35 (2023) - [j607]Shaoqi Zang, Sheng Han, Pingpeng Yuan, Xuanhua Shi, Hai Jin:
HyperBit: A temporal graph store for fast answering queries. Data Knowl. Eng. 144: 102128 (2023) - [j606]Ming Wen, Yongcong Wang, Yifan Xia, Hai Jin:
Evaluating seed selection for fuzzing JavaScript engines. Empir. Softw. Eng. 28(6): 133 (2023) - [j605]Chong Tian, Haikun Liu, Xiaofei Liao, Hai Jin:
UCat: heterogeneous memory management for unikernels. Frontiers Comput. Sci. 17(1): 171204 (2023) - [j604]Kun Wang, Song Wu, Kun Suo, Yijie Liu, Hang Huang, Zhuo Huang, Hai Jin:
Characterizing and optimizing Kernel resource isolation for containers. Future Gener. Comput. Syst. 141: 218-229 (2023) - [j603]Wenbin Jiang, Yuhao Chen, Suyang Wen, Long Zheng, Hai Jin:
PDAS: Improving network pruning based on Progressive Differentiable Architecture Search for DNNs. Future Gener. Comput. Syst. 146: 98-113 (2023) - [j602]Kangzheng Liu, Feng Zhao, Hai Jin:
FS-Net: Frequency Statistical Network for Temporal Knowledge Graph Reasoning. Int. J. Softw. Informatics 13(4): 399-416 (2023) - [j601]Lin Chen, Xiaofeng Ding, Pan Zhou, Hai Jin:
Distributed dynamic online learning with differential privacy via path-length measurement. Inf. Sci. 630: 135-157 (2023) - [j600]Zhaobo Zhang, Zhi-Man Zhong, Pingpeng Yuan, Hai Jin:
Improving Entity Linking in Chinese Domain by Sense Embedding Based on Graph Clustering. J. Comput. Sci. Technol. 38(1): 196-210 (2023) - [j599]Bin Yuan, Jun Wan, Yuhan Wu, Deqing Zou, Hai Jin:
On the Security of Smart Home Systems: A Survey. J. Comput. Sci. Technol. 38(2): 228-247 (2023) - [j598]Ruoshi Li, Ping Peng, Zhiyuan Shao, Hai Jin, Ran Zheng:
Evaluating RISC-V Vector Instruction Set Architecture Extension with Computer Vision Workloads. J. Comput. Sci. Technol. 38(4): 807-820 (2023) - [j597]Xiaofeng Ding, Yinting Zheng, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin:
A learned spatial textual index for efficient keyword queries. J. Intell. Inf. Syst. 60(3): 803-827 (2023) - [j596]Hao Ming, Tingting Pan, Dong Chen, Chencheng Ye, Haikun Liu, Liting Tang, Xiaofei Liao, Hai Jin:
VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator. J. Syst. Archit. 141: 102924 (2023) - [j595]Zhiguo Jiang, Hanhua Chen, Hai Jin:
Auxo: A Scalable and Efficient Graph Stream Summarization Structure. Proc. VLDB Endow. 16(6): 1386-1398 (2023) - [j594]Hai Jin, Zhuo He, Weizhong Qiang:
SpecTerminator: Blocking Speculative Side Channels Based on Instruction Classes on RISC-V. ACM Trans. Archit. Code Optim. 20(1): 15:1-15:26 (2023) - [j593]Jin Zhao, Yu Zhang, Ligang He, Qikun Li, Xiang Zhang, Xinyu Jiang, Hui Yu, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ji Zhang, Xianzheng Song, Lin Wang, Jun Zhou:
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Trans. Archit. Code Optim. 20(3): 37:1-37:24 (2023) - [j592]Hai Jin, Bo Lei, Haikun Liu, Xiaofei Liao, Zhuohui Duan, Chencheng Ye, Yu Zhang:
A Compilation Tool for Computation Offloading in ReRAM-based CIM Architectures. ACM Trans. Archit. Code Optim. 20(4): 47:1-47:25 (2023) - [j591]Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue:
RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network. ACM Trans. Archit. Code Optim. 20(4): 53:1-53:26 (2023) - [j590]Feng Zhao, Cheng Yan, Hai Jin, Lifang He:
BayesKGR: Bayesian Few-Shot Learning for Knowledge Graph Reasoning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 160:1-160:21 (2023) - [j589]Zhigao Zheng, Xuanhua Shi, Hai Jin:
Parallel Overlapping Community Detection Algorithm on GPU. IEEE Trans. Big Data 9(2): 677-687 (2023) - [j588]Hang Huang, Yuqing Zhao, Jia Rao, Song Wu, Hai Jin, Duoqiang Wang, Kun Suo, Lisong Pan:
Adapt Burstable Containers to Variable CPU Resources. IEEE Trans. Computers 72(3): 614-626 (2023) - [j587]Hai Jin, Shuo Wei, Yan Sha, Chencheng Ye, Haikun Liu, Xiaofei Liao:
PMLiteDB: Streamlining Access Paths for High-Performance Persistent Memory Document Database Systems. IEEE Trans. Computers 72(6): 1778-1791 (2023) - [j586]Fang Zhou, Song Wu, Jianhui Yue, Hai Jin, Jiangqiu Shen:
Object Fingerprint Cache for Heterogeneous Memory System. IEEE Trans. Computers 72(9): 2496-2507 (2023) - [j585]Wenchao Wu, Xuanhua Shi, Ligang He, Hai Jin:
TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs. IEEE Trans. Computers 72(9): 2571-2584 (2023) - [j584]Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, Wenbin Jiang:
Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. IEEE Trans. Computers 72(9): 2628-2640 (2023) - [j583]Xianwei Lv, Qianqian Wang, Chen Yu, Hai Jin:
A Feedback-Driven DNN Inference Acceleration System for Edge-Assisted Video Analytics. IEEE Trans. Computers 72(10): 2902-2912 (2023) - [j582]Xuanhua Shi, Xuan Peng, Ligang He, Yunfei Zhao, Hai Jin:
Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training. IEEE Trans. Computers 72(10): 2938-2950 (2023) - [j581]Hongfei Wang, Zhanfei Wu, Xiangwei Wang, Longyun Bian, Hai Jin:
HardGBM: A Framework for Accurate and Hardware-Efficient Gradient Boosting Machines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2122-2135 (2023) - [j580]Fubing Mao, Yapu Guo, Xiaofei Liao, Hai Jin, Wei Zhang, Haikun Liu, Long Zheng, Xu Liu, Zihan Jiang, Xiaohua Zheng:
Accelerating Loop-Oriented RTL Simulation With Code Instrumentation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4985-4998 (2023) - [j579]