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ORCIDHai 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
![[0000-0002-8999-9994]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8999-9994")
— 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
- 2025
[j657]Qiang He, Guobiao Zhang, Jiawei Wang, Ruikun Luo, Xiaohai Dai, Yuchong Hu, Feifei Chen, Hai Jin, Yun Yang:
EdgeHydra: Fault-Tolerant Edge Data Distribution Based on Erasure Coding. IEEE Trans. Parallel Distributed Syst. 36(1): 29-42 (2025)- [j656]Ruikun Luo, Qiang He, Feifei Chen, Song Wu, Hai Jin, Yun Yang:
Ripple: Enabling Decentralized Data Deduplication at the Edge. IEEE Trans. Parallel Distributed Syst. 36(1): 55-66 (2025) - 2024
- [j655]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) - [j654]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) - [j653]Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. ACM Comput. Surv. 56(12): 309:1-309:41 (2024) - [j652]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) - [j651]Daoliang He, Pingpeng Yuan, Hai Jin:
Answering reachability queries with ordered label constraints over labeled graphs. Frontiers Comput. Sci. 18(1): 181601 (2024) - [j650]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) - [j649]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) - [j648]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) - [j647]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) - [j646]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) - [j645]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) - [j644]Long Zheng, Yang Li, Jie Xin, Haifeng 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) - [j643]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) - [j642]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) - [j641]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
QTCS: Efficient Query-Centered Temporal Community Search. Proc. VLDB Endow. 17(6): 1187-1199 (2024) - [j640]Xue Lin, Hong Huang, Zongya Li, Hai Jin:
Media Power Measuring via Emotional Contagion. J. Soc. Comput. 5(1): 15-35 (2024) - [j639]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) - [j638]Jiahong Xu, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Hai Jin, Xiaokang Yang, Huize Li, Cong Liu, Fubing Mao, Yu Zhang:
ReHarvest: An ADC Resource-Harvesting Crossbar Architecture for ReRAM-Based DNN Accelerators. ACM Trans. Archit. Code Optim. 21(3): 63:1-63:26 (2024) - [j637]Qiang-Sheng Hua, Hongen Wang, Hai Jin, Xuanhua Shi:
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index. IEEE Trans. Big Data 10(5): 595-608 (2024) - [j636]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) - [j635]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) - [j634]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) - [j633]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) - [j632]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) - [j631]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) - [j630]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) - [j629]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) - [j628]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) - [j627]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) - [j626]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) - [j625]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) - [j624]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) - [j623]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) - [j622]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) - [j621]Xiaohai Dai, Zhaonan Zhang, Zhengxuan Guo, Chaozheng Ding, Jiang Xiao, Xia Xie, Rui Hao, Hai Jin:
Wahoo: A DAG-Based BFT Consensus With Low Latency and Low Communication Overhead. IEEE Trans. Inf. Forensics Secur. 19: 7508-7522 (2024) - [j620]Yubo Zheng, Peng Xu, Miao Wang, Wanying Xu, Wei Wang, Tianyang Chen, Hai Jin:
Themis: Robust and Light-Client Dynamic Searchable Symmetric Encryption. IEEE Trans. Inf. Forensics Secur. 19: 8802-8816 (2024) - [j619]Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin:
Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. IEEE Trans. Knowl. Data Eng. 36(9): 4567-4581 (2024) - [j618]Shijie Zhang, Jiang Xiao, Enping Wu, Feng Cheng, Bo Li, Wei Wang, Hai Jin:
MorphDAG: A Workload-Aware Elastic DAG-Based Blockchain. IEEE Trans. Knowl. Data Eng. 36(10): 5249-5264 (2024) - [j617]Liezhuo Zhang, Xianwei Lv, Chen Yu, Jiang Xiao, Kai Liu, Hai Jin:
UHA: An Intelligent Uncertainty Map Based Hierarchical Attention Network System for Building Segmentation. IEEE Trans. Netw. Sci. Eng. 11(6): 5695-5706 (2024) - [j616]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) - [j615]Weiqi Dai, Liangliang Yu, Yang Zhou, Kim-Kwang Raymond Choo, Deqing Zou, Xia Xie, Hai Jin:
PASSP: A Private Authorization Scheme Oriented Service Providers. IEEE Trans. Netw. Serv. Manag. 21(4): 4888-4899 (2024) - [j614]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) - [j613]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) - [j612]Weizhong Qiang, Kunlun Ren, Yueming Wu, Deqing Zou, Hai Jin:
DeepFPD: Browser Fingerprinting Detection via Deep Learning With Multimodal Learning and Attention. IEEE Trans. Reliab. 73(3): 1516-1528 (2024) - [j611]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) - [j610]Chaoqiang Liu, Xiaofei Liao, Long Zheng, Yu Huang, Haifeng Liu, Yi Zhang, Haiheng He, Haoyan Huang, Jingyi Zhou, Hai Jin:
L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform. ACM Trans. Reconfigurable Technol. Syst. 17(3): 46:1-46:29 (2024) - [c957]Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin:
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. AAAI 2024: 9431-9439 - [c956]Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, Xuanhua Shi:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. ACL (Findings) 2024: 2336-2353 - [c955]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. ACL (Findings) 2024: 10507-10521 - [c954]Zhaobo Zhang, Rui Gan, Pingpeng Yuan, Hai Jin:
Correcting Pronoun Homophones with Subtle Semantics in Chinese Speech Recognition. LREC/COLING 2024: 4047-4058 - [c953]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 - [c952]Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu:
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. DAC 2024: 109:1-109:6 - [c951]Hui Yu, Yu Zhang, Andong Tan, Chenze Lu, Jin Zhao, Xiaofei Liao, Hai Jin, Haikun Liu:
RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference. DAC 2024: 111:1-111:6 - [c950]Zhuohui Duan, Zelin Yu, Haikun Liu, Xiaofei Liao, Hai Jin, Shijie Zheng, Sihan Wu:
TIGA: Towards Efficient Near Data Processing in SmartNICs-based Disaggregated Memory Systems. DAC 2024: 120:1-120:6 - [c949]Haoqin Huang, Pengcheng Yao, Zhaozeng An, Yufei Sun, Ao Hu, Peng Xu, Long Zheng, Xiaofei Liao, Hai Jin:
SpaHet: A Software/Hardware Co-design for Accelerating Heterogeneous-Sparsity based Sparse Matrix Multiplication. DAC 2024: 202:1-202:6 - [c948]Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. DAC 2024: 203:1-203:6 - [c947]Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin:
Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. DAC 2024: 255:1-255:6 - [c946]Hongfei Wang, Chenliang Luo, Deqing Zou, Hai Jin, Wenjie Cai:
Gradient Boosting-Accelerated Evolution for Multiple-Fault Diagnosis. DATE 2024: 1-6 - [c945]Yu Zhao, Wenjie Xue, Weijie Chen, Weizhong Qiang, Deqing Zou, Hai Jin:
Owl: Differential-Based Side-Channel Leakage Detection for CUDA Applications. DSN 2024: 362-376 - [c944]Weijie Chen, Yu Zhao, Yinqian Zhang, Weizhong Qiang, Deqing Zou, Hai Jin:
ReminISCence: Trusted Monitoring Against Privileged Preemption Side-Channel Attacks. ESORICS (4) 2024: 24-44 - [c943]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. ESORICS (1) 2024: 146-166 - [c942]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 - [c941]Shaoxian Xu, Sitong Lu, Zhiyuan Shao, Xiaofei Liao, Hai Jin:
MiCache: An MSHR-inclusive Non-blocking Cache Design for FPGAs. FPGA 2024: 22-32 - [c940]Fuping Niu, Jianhui Yue, Jiangqiu Shen, Xiaofei Liao, Hai Jin:
FlashGNN: An In-SSD Accelerator for GNN Training. HPCA 2024: 361-378 - [c939]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 - [c938]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 - [c937]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 - [c936]Chaoxiang He, Yimiao Zeng, Xiaojing Ma, Bin Benjamin Zhu, Zewei Li, Shixin Li, Hai Jin:
MysticMask: Adversarial Mask for Impersonation Attack Against Face Recognition Systems. ICME 2024: 1-6 - [c935]Xiaofan Bai, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Hai Jin:
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models. ICML 2024 - [c934]Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin:
Rethinking Personalized Federated Learning from Knowledge Perspective. ICPP 2024: 991-1000 - [c933]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 - [c932]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 - [c931]Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu:
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention. IJCAI 2024: 7144-7152 - [c930]Shulin Wang, Qiang Yu, Xiong Wang, Yuqing Li, Hai Jin:
On Pipelined GCN with Communication-Efficient Sampling and Inclusion-Aware Caching. INFOCOM 2024: 841-850 - [c929]Bingqian Du, Jun Liu, Ziyue Luo, Chuan Wu, Qiankun Zhang, Hai Jin:
Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. INFOCOM 2024: 1321-1330 - [c928]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 - [c927]Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue:
Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. ISCA 2024: 382-395 - [c926]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. ISSTA 2024: 389-401 - [c925]Zeliang Yu, Ming Wen, Xiaochen Guo, Hai Jin:
Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset. ISSTA 2024: 1759-1771 - [c924]Ruize Shi, Hong Huang, Kehan Yin, Wei Zhou, Hai Jin:
Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification. KDD 2024: 2674-2685 - [c923]Tongkun Su, Jun Li, Xi Zhang, Hai Jin, Hao Chen, Qiong Wang, Faqin Lv, Baoliang Zhao, Ying Hu:
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training. MICCAI (4) 2024: 602-612 - [c922]Chaoxiang He, Xiaofan Bai, Xiaojing Ma, Bin B. Zhu, Pingyi Hu, Jiayun Fu, Hai Jin, Dongmei Zhang:
Towards Stricter Black-box Integrity Verification of Deep Neural Network Models. ACM Multimedia 2024: 9875-9884 - [c921]Chaoxiang He, Xiaojing Ma, Bin B. Zhu, Yimiao Zeng, Hanqing Hu, Xiaofan Bai, Hai Jin, Dongmei Zhang:
DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses. NDSS 2024 - [c920]Bin Yuan, Zhanxiang Song, Yan Jia, Zhenyu Lu, Deqing Zou, Hai Jin, Luyi Xing:
MQTTactic: Security Analysis and Verification for Logic Flaws in MQTT Implementations. SP 2024: 2385-2403 - [c919]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. SP 2024: 3015-3033 - [c918]Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin:
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. SP 2024: 3365-3384 - [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] - [i76]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) - [i75]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) - [i74]Dezhong Yao, Tongtong Liu, Qi Cao, Hai Jin:
FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement. CoRR abs/2401.11089 (2024) - [i73]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) - [i72]Tianyang Chen, Peng Xu, Stjepan Picek, Bo Luo, Willy Susilo