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ORCIDKai Lu 0001
Person information
- affiliation: National University of Defense Technology, College of Computer Science, National Key Laboratory of Parallel and Distributed Processing, Changsha, China
- affiliation (PhD 1999): National University of Defense Technology, Changsha, China
Other persons with the same name
- Kai Lu — disambiguation page
- Kai Lu 0002
![[0000-0002-7757-4083]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7757-4083")
— Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, China - Kai Lu 0003 — University of Oxford, Department of Computer Science, Oxford, UK (and 1 more)
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2020 – today
- 2026
[j92]Jiyuan Liu, Xinwang Liu, Siqi Wang, Xinhang Wan, Dongsheng Li, Kai Lu, Kunlun He:
Communication-Efficient Federated Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 48(1): 17-32 (2026)- [j91]Ruibo Wang, Mingtian Shao, Wenzhe Zhang, Huijun Wu, Jiaxin Li, Lihua Yang, Di Ma, Yiqin Dai, Kai Lu:
Fully Decentralized Data Distribution for Large-Scale HPC Systems. IEEE Trans. Parallel Distributed Syst. 37(1): 304-321 (2026) - 2025
- [j90]Heng Huang, Xiliang Liu, Zijian Tang, Wei Song, Yuan Ma, Yuwei Zhang, Xiaoyan Ma, Milin Zhang, Jintao Wang, Kai Lu, Zhihua Wang, Guolin Li:
Design of a Compact Low-Power Sub-2.4-GHz Transceiver for Medical Band Applications. IEEE J. Solid State Circuits 60(5): 1516-1528 (2025) - [j89]Xinbiao Gan, Tiejun Li, Chunye Gong, Dongsheng Li, Dezun Dong, Jie Liu, Kai Lu:
GraphCSR: A Degree-Equalized CSR Format for Large-scale Graph Processing. Proc. VLDB Endow. 18(11): 4255-4268 (2025) - [j88]Lei Xu, Qingyang Zhang, Kai Lu, Zhengzheng Yan, Chunye Gong, Shengguo Li, Lin Chen, Xinhai Chen, Xuchuan Lin, Jie Liu, Zheng Wang, Rongliang Chen:
Towards Megacity-Scale Wind Flow Simulations on Many-Core CPU-Accelerator Systems. SIAM J. Sci. Comput. 47(2): 402- (2025) - [j87]Yi Dai, Kai Lu, Sheng Ma, Jinshu Su, Dongsheng Li:
Bubble-Swap Flow Control. ACM Trans. Archit. Code Optim. 22(1): 33:1-33:26 (2025) - [j86]Chaoyang Jia, Jingyu Liu, Shi Chen, Kai Lu, Li Shen:
TSN Cache: Exploiting Data Localities in Graph Computing Applications. ACM Trans. Archit. Code Optim. 22(2): 61:1-61:26 (2025) - [j85]Weijie Liu, Kai Lu, Zhiquan Lai, Shengwei Li, Keshi Ge, Dongsheng Li, Xicheng Lu:
AutoPipe-H: A Heterogeneity-Aware Data-Paralleled Pipeline Approach on Commodity GPU Servers. IEEE Trans. Computers 74(4): 1196-1209 (2025) - [j84]Dunbo Zhang, Li Shen, Kai Lu:
Eliminate Data Divergence in SpMV via Processor and Memory Co-Computing Framework. IEEE Trans. Computers 74(6): 2017-2030 (2025) - [j83]Tai Yue, Kai Lu, Zhenyu Ning, Pengfei Wang, Lei Zhou, Xu Zhou, Yaohua Wang, Fengwei Zhang, Gen Zhang:
Efficient Forward-Edge Control-Flow Integrity for COTS Binaries via Arm BTI. IEEE Trans. Inf. Forensics Secur. 20: 7137-7152 (2025) - [j82]Xiaoshu Chen, Sihang Zhou, Ke Liang, Jiafei Wu, Xinwang Liu, Dongsheng Li, Kai Lu:
Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models. IEEE Trans. Knowl. Data Eng. 37(10): 6202-6215 (2025) - [j81]Junyi Yan, Enguang Zuo, Ke Liang, Meng Liu, Miaomiao Li, Xinwang Liu, Xiaoyi Lv, Kai Lu:
Address Anomalies at Critical Crossroads for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 37(12): 6877-6890 (2025) - [j80]Shengwei Li, Zhiquan Lai, Dongsheng Li, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Kai Lu:
Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism. IEEE Trans. Parallel Distributed Syst. 36(9): 1828-1840 (2025) - [j79]Yiqin Dai, Ruibo Wang, Yong Dong, Min Xie, Juan Chen, Wenzhe Zhang, Huijun Wu, Mingtian Shao, Kai Lu:
MIST: Towards MPI Instant Startup and Termination on Tianhe HPC Systems. IEEE Trans. Parallel Distributed Syst. 36(11): 2341-2353 (2025) - [c81]Yang Liu, Xiaoping Wang, Kai Lu:
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? AAAI 2025: 24677-24685 - [c80]Zhonghao Sun, Zhiliang Tian, Yiping Song, Yuyi Si, Juhua Zhang, Minlie Huang, Kai Lu, Zeyu Xiong, Xinwang Liu, Dongsheng Li:
DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. ACL (Findings) 2025: 16159-16179 - [c79]Shilong Pan, Zhiliang Tian, Zhen Huang, Wanlong Yu, Zhihua Wen, Xinwang Liu, Kai Lu, Minlie Huang, Dongsheng Li:
AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. ACL (1) 2025: 17391-17406 - [c78]Mingtian Shao, Ruibo Wang, Wenzhe Zhang, Kai Lu, Yiqin Dai, Huijun Wu:
From Islands to Archipelago: Towards Collaborative and Adaptive Burst Buffer for HPC Systems. ICS 2025: 550-563 - [c77]Xinbiao Gan, Tiejun Li, Chunye Gong, Jie Liu, Kai Lu:
YH-Light: Yielding Hierarchy-aware Partitioner for Large-scale Graph Processing. ICS 2025: 1106-1116 - [c76]Xinbiao Gan, Qiang Zhang, Tiejun Li, Chunye Gong, Kai Lu:
GraphWorld: Ultra-fast Graph Engine for World-Wide Web Searching. ACM Multimedia 2025: 11918-11927 - [c75]Xinbiao Gan, Tiejun Li, Yiqi Wang, Qiang Zhang, Yongming Yi, Chunye Gong, Jie Liu, Kai Lu:
TianheEngine: Hierarchy-aware Adaptive Partitioning System for Trillion-scale Graph Processing. SC 2025: 1785-1799 - [c74]Xinbiao Gan, Tiejun Li, Qiang Zhang, Guang Wu, Bo Yang, Chunye Gong, Jie Liu, Kai Lu:
GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing. WWW 2025: 763-771 - [c73]Xinbiao Gan, Tiejun Li, Liang Wu, Qiang Zhang, Lingyun Song, Bo Yang, Jie Liu, Kai Lu:
GraphCom: Communication Hierarchy-aware Graph Engine for Distributed Model Training. WWW 2025: 786-795 - [i15]Peihong Lin, Pengfei Wang, Xu Zhou, Wei Xie, Gen Zhang, Kai Lu:
DeepGo: Predictive Directed Greybox Fuzzing. CoRR abs/2507.21952 (2025) - [i14]Chengfeng Dou, Chong Liu, Fan Yang, Fei Li, Jiyuan Jia, Mingyang Chen, Qiang Ju, Shuai Wang, Shunya Dang, Tianpeng Li, Xiangrong Zeng, Yijie Zhou, Chenzheng Zhu, Da Pan, Fei Deng, Guangwei Ai, Guosheng Dong, Hongda Zhang, Jinyang Tai, Jixiang Hong, Kai Lu, Linzhuang Sun, Peidong Guo, Qian Ma, Rihui Xin, Shihui Yang, Shusen Zhang, Yichuan Mo, Zheng Liang, Zhishou Zhang, Hengfu Cui, Zuyi Zhu, Xiaochuan Wang:
Baichuan-M2: Scaling Medical Capability with Large Verifier System. CoRR abs/2509.02208 (2025) - 2024
- [j78]Junsheng Chang, Kai Lu, Yang Guo, Yongwen Wang, Zhenyu Zhao, Libo Huang, Hongwei Zhou, Yao Wang, Fei Lei, Biwei Zhang:
A survey of compute nodes with 100 TFLOPS and beyond for supercomputers. CCF Trans. High Perform. Comput. 6(3): 243-262 (2024) - [j77]Peihong Lin, Pengfei Wang, Xu Zhou, Wei Xie, Kai Lu, Gen Zhang:
HyperGo: Probability-based directed hybrid fuzzing. Comput. Secur. 142: 103851 (2024) - [j76]Xugang Wu, Huijun Wu, Ruibo Wang, Xu Zhou, Kai Lu:
Towards adaptive graph neural networks via solving prior-data conflicts. Frontiers Inf. Technol. Electron. Eng. 25(3): 369-383 (2024) - [j75]Pengfei Wang, Xu Zhou, Tai Yue, Peihong Lin, Yingying Liu, Kai Lu:
The progress, challenges, and perspectives of directed greybox fuzzing. Softw. Test. Verification Reliab. 34(2) (2024) - [j74]Xinbiao Gan, Tiejun Li, Feng Xiong, Bo Yang, Xinhai Chen, Chunye Gong, Shijie Li, Kai Lu, Qiao Li, Yiming Zhang:
MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms. ACM Trans. Archit. Code Optim. 21(4): 67:1-67:22 (2024) - [j73]Yu Tang, Qiao Li, Lujia Yin, Dongsheng Li, Yiming Zhang, Chenyu Wang, Xingcheng Zhang, Linbo Qiao, Zhaoning Zhang, Kai Lu:
DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping. ACM Trans. Archit. Code Optim. 21(4): 76:1-76:25 (2024) - [j72]Gen Zhang, Pengfei Wang, Tai Yue, Danjun Liu, Yubei Guo, Kai Lu:
Instiller: Toward Efficient and Realistic RTL Fuzzing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(7): 2177-2190 (2024) - [j71]Tai Yue, Fengwei Zhang, Zhenyu Ning, Pengfei Wang, Xu Zhou, Kai Lu, Lei Zhou:
Armor: Protecting Software Against Hardware Tracing Techniques. IEEE Trans. Inf. Forensics Secur. 19: 4247-4262 (2024) - [j70]Tao Tang, Kai Lu, Lin Peng, Yingbo Cui, Jianbin Fang, Chun Huang, Ruibo Wang, Canqun Yang, Yifei Guo:
SNCL: a supernode OpenCL implementation for hybrid computing arrays. J. Supercomput. 80(7): 9471-9493 (2024) - [j69]Yong Dong, Yiqin Dai, Min Xie, Kai Lu, Ruibo Wang, Juan Chen, Mingtian Shao, Zheng Wang:
Faster and Scalable MPI Applications Launching. IEEE Trans. Parallel Distributed Syst. 35(2): 264-279 (2024) - [j68]Shengwei Li, Kai Lu, Zhiquan Lai, Weijie Liu, Keshi Ge, Dong Sheng Li:
A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. 35(8): 1415-1428 (2024) - [c72]Heng Huang, Xiliang Liu, Zijian Tang, Wei Song, Yuan Ma, Ruixuan Pei, Yuwei Zhang, Xiaoyan Ma, Milin Zhang, Jintao Wang, Kai Lu, Zhihua Wang, Guolin Li:
A Fully Integrated 400MHz Band Transceiver with a 96Mbps 16QAM Transmitter and a Phase Tracking Receiver in 40-nm CMOS. A-SSCC 2024: 1-3 - [c71]Mingtian Shao, Wenzhe Zhang, Ruibo Wang, Huijun Wu, Yiqin Dai, Kai Lu:
Fully Decentralized Data Distribution for Exascale-HPC: End of the Provider-Demander Matching Puzzle. CLUSTER 2024: 310-321 - [c70]Peihong Lin, Pengfei Wang, Xu Zhou, Wei Xie, Gen Zhang, Kai Lu:
DeepGo: Predictive Directed Greybox Fuzzing. NDSS 2024 - [c69]Tai Yue, Yibo Jin, Fengwei Zhang, Zhenyu Ning, Pengfei Wang, Xu Zhou, Kai Lu:
Efficiently Rebuilding Coverage in Hardware-Assisted Greybox Fuzzing. RAID 2024: 450-464 - [c68]Yiqin Dai, Ruibo Wang, Yong Dong, Kai Lu:
Towards Highly Compatible I/O-Aware Workflow Scheduling on HPC Systems. SC 2024: 25 - [i13]Gen Zhang, Pengfei Wang, Tai Yue, Xiangdong Kong, Shan Huang, Xu Zhou, Kai Lu:
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing. CoRR abs/2401.15956 (2024) - [i12]Gen Zhang, Pengfei Wang, Tai Yue, Danjun Liu, Yubei Guo, Kai Lu:
INSTILLER: Towards Efficient and Realistic RTL Fuzzing. CoRR abs/2401.15967 (2024) - 2023
- [j67]Zhe Li, Chengkun Wu, Yishui Li, Runduo Liu, Kai Lu, Ruibo Wang, Jie Liu, Chunye Gong, Canqun Yang, Xin Wang, Chang-Guo Zhan, Hai-Bin Luo:
Free energy perturbation-based large-scale virtual screening for effective drug discovery against COVID-19. Int. J. High Perform. Comput. Appl. 37(1): 45-57 (2023) - [j66]Keshi Ge, Kai Lu, Yongquan Fu, Xiaoge Deng, Zhiquan Lai, Dongsheng Li:
Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models. IEEE J. Sel. Areas Commun. 41(4): 941-963 (2023) - [j65]Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang:
Programming bare-metal accelerators with heterogeneous threading models: a case study of Matrix-3000. Frontiers Inf. Technol. Electron. Eng. 24(4): 509-520 (2023) - [j64]Xu Zhou, Pengfei Wang, Lei Zhou, Peng Xun, Kai Lu:
A Survey of the Security Analysis of Embedded Devices. Sensors 23(22): 9221 (2023) - [j63]Lizhi Zhang, Kai Lu, Zhiquan Lai, Yongquan Fu, Yu Tang, Dongsheng Li:
Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures. IEEE Trans. Computers 72(12): 3473-3488 (2023) - [j62]Tengfei Zheng, Tongqing Zhou, Kai Lu, Zhiping Cai:
Inspecting End-to-End Encrypted Communication Differentially for the Efficient Identification of Harmful Media. IEEE Trans. Inf. Forensics Secur. 18: 5772-5787 (2023) - [j61]Xu Zhou, Pengfei Wang, Chenyifan Liu, Tai Yue, Yingying Liu, Congxi Song, Kai Lu, Qidi Yin, Xu Han:
UltraFuzz: Towards Resource-Saving in Distributed Fuzzing. IEEE Trans. Software Eng. 49(4): 2394-2412 (2023) - [c67]Tai Yue, Pengfei Wang, Lei Zhou, Xu Zhou, Gen Zhang, Kai Lu, Huijun Wu:
ReForker: Patching x86_64 Binaries with the Fork Server to Improve Hardware-Assisted Fuzzing through Trampoline-Based Binary Rewriting. CNCIT 2023: 235-240 - [c66]Ruiqi Wang, Dezun Dong, Fei Lei, Junchao Ma, Ke Wu, Kai Lu:
Roar: A Router Microarchitecture for In-network Allreduce. ICS 2023: 423-436 - [c65]Zhenhao Luo, Pengfei Wang, Baosheng Wang, Yong Tang, Wei Xie, Xu Zhou, Danjun Liu, Kai Lu:
VulHawk: Cross-architecture Vulnerability Detection with Entropy-based Binary Code Search. NDSS 2023 - [c64]Xugang Wu, Huijun Wu, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu:
Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study. ECML/PKDD (3) 2023: 140-156 - [i11]Shengwei Li, Zhiquan Lai, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Dongsheng Li, Kai Lu:
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training. CoRR abs/2305.16121 (2023) - [i10]Peihong Lin, Pengfei Wang, Xu Zhou, Wei Xie, Kai Lu, Gen Zhang:
HyperGo: Probability-based Directed Hybrid Fuzzing. CoRR abs/2307.07815 (2023) - 2022
- [j60]Xin Wang, Songlei Jian, Kai Lu, Yi Zhang, Kai Liu:
RED: Learning the role embedding in networks via Discrete-time quantum walk. Appl. Intell. 52(2): 1493-1507 (2022) - [j59]Xi Yang, Wei Wang, Jing-Lun Ma, Yan-Long Qiu, Kai Lu, Dong-Sheng Cao, Chengkun Wu:
BioNet: a large-scale and heterogeneous biological network model for interaction prediction with graph convolution. Briefings Bioinform. 23(1) (2022) - [j58]Kai Lu, Yaohua Wang, Yang Guo, Chun Huang, Sheng Liu, Ruibo Wang, Jianbin Fang, Tao Tang, Zhaoyun Chen, Biwei Liu, Zhong Liu, Yuanwu Lei, Haiyan Sun:
MT-3000: a heterogeneous multi-zone processor for HPC. CCF Trans. High Perform. Comput. 4(2): 150-164 (2022) - [j57]Gen Zhang, Peng-Fei Wang, Tai Yue, Xiangdong Kong, Xu Zhou, Kai Lu:
ovAFLow: Detecting Memory Corruption Bugs with Fuzzing-Based Taint Inference. J. Comput. Sci. Technol. 37(2): 405-422 (2022) - [j56]Xugang Wu, Huijun Wu, Xu Zhou, Xiang Zhao, Kai Lu:
Towards Defense Against Adversarial Attacks on Graph Neural Networks via Calibrated Co-Training. J. Comput. Sci. Technol. 37(5): 1161-1175 (2022) - [j55]Mingtian Shao, Kai Lu, Wenzhe Zhang:
Self-deployed execution environment for high performance computing. Frontiers Inf. Technol. Electron. Eng. 23(6): 845-857 (2022) - [j54]Mingtian Shao, Kai Lu, Wanqing Chi, Ruibo Wang, Yiqin Dai, Wenzhe Zhang:
TEES: topology-aware execution environment service for fast and agile application deployment in HPC. Frontiers Inf. Technol. Electron. Eng. 23(11): 1631-1645 (2022) - [j53]Yiming Zhang, Lujia Yin, Dongsheng Li, Yuxing Peng, Kai Lu:
ParaX : Bandwidth-Efficient Instance Assignment for DL on Multi-NUMA Many-Core CPUs. IEEE Trans. Computers 71(11): 3032-3046 (2022) - [j52]Xinbiao Gan, Yiming Zhang, Ruibo Wang, Tiejun Li, Tiaojie Xiao, Ruigeng Zeng, Jie Liu, Kai Lu:
TianheGraph: Customizing Graph Search for Graph500 on Tianhe Supercomputer. IEEE Trans. Parallel Distributed Syst. 33(4): 941-951 (2022) - [c63]Yi Dai, Kai Lu, Sheng Ma, Junsheng Chang:
Full-credit Flow Control: A Novel Technique to Implement Deadlock-free Adaptive Routing. DATE 2022: 1041-1046 - [c62]Yushuqing Zhang, Kai Lu, Zhenwei Wu, Wenzhe Zhang:
PMemTrace: Lightweight and Efficient Memory Access Monitoring for Persistent Memory. ICA3PP 2022: 81-97 - [c61]Xinbiao Gan, Yiming Zhang, Ruigeng Zeng, Jie Liu, Ruibo Wang, Tiejun Li, Li Chen, Kai Lu:
XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers. ICDE 2022: 2046-2059 - [c60]Yiqin Dai, Yong Dong, Min Xie, Kai Lu, Ruibo Wang, Mingtian Shao, Juan Chen:
The Fast and Scalable MPI Application Launch of the Tianhe HPC system. IPDPS 2022: 1305-1315 - [c59]Gen Zhang, Pengfei Wang, Tai Yue, Xiangdong Kong, Shan Huang, Xu Zhou, Kai Lu:
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing. NDSS 2022 - [c58]Yiqin Dai, Yong Dong, Kai Lu, Ruibo Wang, Wei Zhang, Juan Chen, Mingtian Shao, Zheng Wang:
Towards Scalable Resource Management for Supercomputers. SC 2022: 24:1-24:15 - [c57]Menghan Jia, Yiming Zhang, Xinbiao Gan, Dongsheng Li, Erci Xu, Ruibo Wang, Kai Lu:
vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms. SC 2022: 63:1-63:14 - [c56]Wei Xie, Jiongyi Chen, Zhenhua Wang, Chao Feng, Enze Wang, Yifei Gao, Baosheng Wang, Kai Lu:
Game of Hide-and-Seek: Exposing Hidden Interfaces in Embedded Web Applications of IoT Devices. WWW 2022: 524-532 - [i9]Xiaobin Fan, Xiaoping Wang, Kai Lu, Lei Xue, Jinjing Zhao:
Tree-based Search Graph for Approximate Nearest Neighbor Search. CoRR abs/2201.03237 (2022) - [i8]Yizhi Wang, Yingwen Liu, Junwei Zhan, Shichuan Xue, Yuzhen Zheng, Ru Zeng, Zhihao Wu, Zihao Wang, Qilin Zheng, Dongyang Wang, Weixu Shi, Xiang Fu, Ping Xu, Yang Wang, Yong Liu, Jiangfang Ding, Guangyao Huang, Chunlin Yu, Anqi Huang, Xiaogang Qiang, Mingtang Deng, Weixia Xu, Kai Lu, Xuejun Yang, Junjie Wu:
Large-scale full-programmable quantum walk and its applications. CoRR abs/2208.13186 (2022) - [i7]Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang:
Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000. CoRR abs/2210.12230 (2022) - 2021
- [j51]Xin Wang, Kai Lu, Yi Zhang, Kai Liu:
QSIM: A novel approach to node proximity estimation based on Discrete-time quantum walk. Appl. Intell. 51(4): 2574-2588 (2021) - [j50]Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu:
Correction to: Mining a stroke knowledge graph from literature. BMC Bioinform. 22(1): 585 (2021) - [j49]Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu:
Mining a stroke knowledge graph from literature. BMC Bioinform. 22-S(10): 387 (2021) - [j48]Yiming Zhang, Kai Lu, Wenguang Chen:
Processing extreme-scale graphs on China's supercomputers. Commun. ACM 64(11): 60-63 (2021) - [j47]Gen Zhang, Peng-Fei Wang, Tai Yue, Xu Zhou, Kai Lu:
MEBS: Uncovering Memory Life-Cycle Bugs in Operating System Kernels. J. Comput. Sci. Technol. 36(6): 1248-1268 (2021) - [j46]Dongsheng Li, Zhiyao Hu, Zhiquan Lai, Yiming Zhang, Kai Lu:
Coordinative Scheduling of Computation and Communication in Data-Parallel Systems. IEEE Trans. Computers 70(12): 2182-2197 (2021) - [c55]Jianfeng Cui, Kai Lu, Sheng Liu:
Sparse Matrix-Vector Multiplication Cache Performance Evaluation and Design Exploration. MASCOTS 2021: 1-7 - [c54]Yi Dai, Kai Lu, Junsheng Chang, Xingyun Qi, Jijun Cao, Jianmin Zhang:
Microarchitecture of a Configurable High-Radix Router for the Post-Moore Era. ISC 2021: 3-17 - [i6]Xugang Wu, Huijun Wu, Xu Zhou, Kai Lu:
CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph. CoRR abs/2109.05558 (2021) - 2020
- [j45]Zhenwei Wu, Kai Lu, Ruibo Wang, Wenzhe Zhang:
A survey on optimizations towards best-effort hardware transactional memory. CCF Trans. High Perform. Comput. 2(4): 401-414 (2020) - [j44]Lili Zhang, Xiaoping Wang, Kai Lu, Shaoliang Peng, Xiaodong Wang:
An efficient framework for generating robust adversarial examples. Int. J. Intell. Syst. 35(9): 1433-1449 (2020) - [j43]Pengfei Wang, Xu Zhou, Kai Lu:
Sabotaging the system boundary: A study of the inter-boundary vulnerability. J. Inf. Secur. Appl. 54: 102496 (2020) - [j42]Shaoliang Peng, Xiaoyu Zhang, Wenhe Su, Dong Dong, Yutong Lu, Xiangke Liao, Kai Lu, Canqun Yang, Jie Liu, Weiliang Zhu, Dongqing Wei:
High-Scalable Collaborated Parallel Framework for Large-Scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 804-816 (2020) - [j41]Huijun Wu, Chen Wang, Richard Nock, Wei Wang, Jie Yin, Kai Lu, Liming Zhu:
SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks. ACM Trans. Web 14(3): 11:1-11:28 (2020) - [c53]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI 2020: 4320-4327 - [c52]Yuan Wang, Zhiyou He, Peizhen Xie, Canqun Yang, Yu Zhang, Fangfang Li, Xiang Chen, Kai Lu, Tao Li, Jiao Zhou, Ke Zuo:
Segment Medical Image Using U-Net Combining Recurrent Residuals and Attention. MICAD 2020: 77-86 - [c51]Zhenwei Wu, Kai Lu, Andrew Nisbet, Wenzhe Zhang, Mikel Luján:
PMThreads: persistent memory threads harnessing versioned shadow copies. PLDI 2020: 623-637 - [c50]Tai Yue, Pengfei Wang, Yong Tang, Enze Wang, Bo Yu, Kai Lu, Xu Zhou:
EcoFuzz: Adaptive Energy-Saving Greybox Fuzzing as a Variant of the Adversarial Multi-Armed Bandit. USENIX Security Symposium 2020: 2307-2324 - [i5]Xu Zhou, Pengfei Wang, Chenyifan Liu, Tai Yue, Yingying Liu, Congxi Song, Kai Lu, Qidi Yin:
UniFuzz: Optimizing Distributed Fuzzing via Dynamic Centralized Task Scheduling. CoRR abs/2009.06124 (2020)
2010 – 2019
- 2019
- [j40]Xiaoping Wang, Lili Zhang, Kai Lu:
Efficient Algorithms on Rigidity Decomposition for Network Localizability Analysis. Ad Hoc Sens. Wirel. Networks 44(3-4): 219-240 (2019) - [j39]Pengfei Wang, Jens Krinke, Xu Zhou, Kai Lu:
AVPredictor: Comprehensive prediction and detection of atomicity violations. Concurr. Comput. Pract. Exp. 31(15) (2019) - [j38]Kai Liu, Yi Zhang, Kai Lu, Xiaoping Wang, Xin Wang, Guojing Tian:
MapEff: An Effective Graph Isomorphism Agorithm Based on the Discrete-Time Quantum Walk. Entropy 21(6): 569 (2019) - [j37]Pengfei Wang, Kai Lu, Gen Li, Xu Zhou:
DFTracker: detecting double-fetch bugs by multi-taint parallel tracking. Frontiers Comput. Sci. 13(2): 247-263 (2019) - [j36]Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu, Hang Gao:
CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans. Knowl. Data Eng. 31(5): 853-866 (2019) - [j35]Yi Dai, Kai Lu, Liquan Xiao, Jinshu Su:
A Cost-Efficient Router Architecture for HPC Inter-Connection Networks: Design and Implementation. IEEE Trans. Parallel Distributed Syst. 30(4): 738-753 (2019) - [c49]Zhenwei Wu, Kai Lu, Wenzhe Zhang, Andrew Nisbet, Mikel Luján:
POSTER: Quiescent and Versioned Shadow Copies for NVM. PACT 2019: 491-492 - [c48]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao:
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. AAAI 2019: 598-605 - [c47]Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu:
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense. IJCAI 2019: 4816-4823 - [i4]Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu:
The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques. CoRR abs/1903.01610 (2019) - [i3]Wenzhe Zhang, Kai Lu, Ruibo Wang, Wanqing Chi, Mingtian Shao, Huijun Wu, Mikel Luján, Xiaoping Wang:
Lightweight Container-based User Environment. CoRR abs/1912.03887 (2019) - 2018
- [j34]Xi Yang, Zhuo Song, Chengkun Wu, Wei Wang, Gen Li, Wei Zhang, Lingqian Wu, Kai Lu:
Constructing a database for the relations between CNV and human genetic diseases via systematic text mining. BMC Bioinform. 19-S(19): 125-134 (2018) - [j33]Pengfei Wang, Kai Lu, Gen Li, Xu Zhou:
A survey of the double-fetch vulnerabilities. Concurr. Comput. Pract. Exp. 30(6) (2018) - [j32]Xin Wang, Yi Zhang, Kai Lu, Xiaoping Wang, Kai Liu:
Marking Vertices to Find Graph Isomorphism Mapping Based on Continuous-Time Quantum Walk. Entropy 20(8): 586 (2018) - [j31]Kai Lu, Peng-Fei Wang, Gen Li, Xu Zhou:
Untrusted Hardware Causes Double-Fetch Problems in the I/O Memory. J. Comput. Sci. Technol. 33(3): 587-602 (2018) - [j30]Wenzhe Zhang, Kai Lu, Xiaoping Wang:
Versionized process based on non-volatile random-access memory for fine-grained fault tolerance. Frontiers Inf. Technol. Electron. Eng. 19(2): 192-205 (2018) - [j29]Xiangke Liao, Kai Lu, Canqun Yang, Jin-wen Li, Yuan Yuan, Ming-che Lai, Libo Huang, Pingjing Lu, Jianbin Fang, Jing Ren, Jie Shen:
Moving from exascale to zettascale computing: challenges and techniques. Frontiers Inf. Technol. Electron. Eng. 19(10): 1236-1244 (2018) - [j28]Songlei Jian, Longbing Cao, Kai Lu, Hang Gao:
Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. IEEE Trans. Knowl. Data Eng. 30(9): 1810-1823 (2018) - [j27]Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Kai Lu, Liming Zhu:
A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds. IEEE Trans. Parallel Distributed Syst. 29(6): 1202-1216 (2018) - [c46]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Metric-Based Auto-Instructor for Learning Mixed Data Representation. AAAI 2018: 3318-3325 - [c45]Huijun Wu, Chen Wang, Kai Lu, Yinjin Fu, Liming Zhu:
One Size Does Not Fit All: The Case for Chunking Configuration in Backup Deduplication. CCGrid 2018: 213-222 - [c44]Xin Wang, Yi Zhang, Kai Lu, Xiaoping Wang, Kai Liu:
Detecting Multiple Information Sources Based on the Quantum Walk. ICSAI 2018: 1188-1192 - [c43]Yingqi Luo, Pengfei Wang, Xu Zhou, Kai Lu:
DFTinker: Detecting and Fixing Double-Fetch Bugs in an Automated Way. WASA 2018: 780-785 - [c42]Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu:
Sharing Deep Neural Network Models with Interpretation. WWW 2018: 177-186 - 2017
- [j26]Guoliang Zhu, Kai Lu, Xiaoping Wang, Yiming Zhang, Pengfei Zhang, Sparsh Mittal:
SwapX: An NVM-Based Hierarchical Swapping Framework. IEEE Access 5: 16383-16392 (2017) - [j25]Guoliang Zhu, Kai Lu, Xiaoping Wang, Xu Zhou, Zhan Shi:
Building Emulation Framework for Non-Volatile Memory. IEEE Access 5: 21574-21584 (2017) - [j24]Xin Wang, Jianglong Song, Kai Lu, Xiaoping Wang:
Community detection in attributed networks based on heterogeneous vertex interactions. Appl. Intell. 47(4): 1270-1281 (2017) - [j23]Zhenwei Wu, Kai Lu, Xiaoping Wang, Wanqing Chi:
Topology-aware network fault influence domain analysis. Comput. Electr. Eng. 57: 266-280 (2017) - [j22]Zhendong Wu, Kai Lu, Xiaoping Wang:
Surveying concurrency bug detectors based on types of detected bugs. Sci. China Inf. Sci. 60(3): 31101 (2017) - [j21]Wenzhe Zhang, Kai Lu, Xiaoping Wang, Jie Jian:
Fast Persistent Heap Based on Non-Volatile Memory. IEICE Trans. Inf. Syst. 100-D(5): 1035-1045 (2017) - [j20]Wenzhe Zhang, Kai Lu, Mikel Luján, Xiaoping Wang, Xu Zhou:
Fine-grained checkpoint based on non-volatile memory. Frontiers Inf. Technol. Electron. Eng. 18(2): 220-234 (2017) - [c41]Shaoliang Peng, Xiaoyu Zhang, Shunyun Yang, Wenhe Su, Zhiqiang Zhang, Dong Dong, Kai Lu, Yutong Lu, Xiangke Liao, Bertil Schmidt, Weiliang Zhu, Kuan-Ching Li:
mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework. CCGrid 2017: 671-676 - [c40]Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu:
High Performance Coordinate Descent Matrix Factorization for Recommender Systems. Conf. Computing Frontiers 2017: 117-126 - [c39]Guoliang Zhu, Kai Lu, Xiaoping Wang, Yong Dong:
Building Emulation Framework for Non-volatile Memory. ICDCS Workshops 2017: 330-333 - [c38]Kai Liu, Yi Zhang, Kai Lu, Xiaoping Wang, Xin Wang:
Reinforcement Label Propagation Algorithm Based on History Record. ICONIP (5) 2017: 348-356 - [c37]Guoliang Zhu, Kai Lu, Xiaoping Wang, Yiming Zhang, Ling Liu:
A Case for Memory Frequency Sensitivity. ICWS 2017: 844-848 - [c36]Kai Lu, Xin Wang, Xiaoping Wang:
Dynamic Community Detection Algorithm Based on Automatic Parameter Adjustment. IDEAL 2017: 9-19 - [c35]Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao:
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. IJCAI 2017: 1937-1943 - [c34]Pengfei Wang, Jens Krinke, Kai Lu, Gen Li, Steve Dodier-Lazaro:
How Double-Fetch Situations turn into Double-Fetch Vulnerabilities: A Study of Double Fetches in the Linux Kernel. USENIX Security Symposium 2017: 1-16 - [c33]Kai Lu, Wenzhe Zhang, Xiaoping Wang, Mikel Luján, Andy Nisbet:
Flexible Page-level Memory Access Monitoring Based on Virtualization Hardware. VEE 2017: 201-213 - [i2]Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Liming Zhu, Kai Lu:
HPDedup: A Hybrid Prioritized Data Deduplication Mechanism for Primary Storage in the Cloud. CoRR abs/1702.08153 (2017) - [i1]Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu:
Interpreting Shared Deep Learning Models via Explicable Boundary Trees. CoRR abs/1709.03730 (2017) - 2016
- [c32]Xin Wang, Songlei Jian, Kai Lu, Xiaoping Wang:
Unified Weighted Label Propagation Algorithm Using Connection Factor. ADMA 2016: 434-444 - [c31]Shaoliang Peng, Xiaoyu Zhang, Yutong Lu, Xiangke Liao, Kai Lu, Canqun Yang, Jie Liu, Weiliang Zhu, Dongqing Wei:
mAMBER: A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer. BIBM 2016: 651-657 - [c30]Zhenwei Wu, Kai Lu, Xiaoping Wang, Wanqing Chi:
Alleviating network congestion for HPC clusters with fat-tree interconnection leveraging software-defined networking. ICSAI 2016: 808-813 - [c29]Zhan Shi, Kai Lu, Xiaoping Wang, Wenzhe Zhang, Yiqi Wang:
Application-Based Coarse-Grained Incremental Checkpointing Based on Non-volatile Memory. NPC 2016: 45-57 - [c28]Xinglu He, Kai Lu, Gen Li:
Taint Reverse Propagation for Analysis of Privacy Leak. Trustcom/BigDataSE/ISPA 2016: 1718-1722 - [c27]Huijun Wu, Liming Zhu, Kai Lu, Gen Li, Dongyao Wu:
StageFS: A Parallel File System Optimizing Metadata Performance for SSD Based Clusters. Trustcom/BigDataSE/ISPA 2016: 2147-2152 - 2015
- [j19]Yi Zhang, Kai Lu, Yinghui Gao:
QSobel: A novel quantum image edge extraction algorithm. Sci. China Inf. Sci. 58(1): 1-13 (2015) - [j18]Chen Chen, Kai Lu, Xiaoping Wang, Xu Zhou, Zhendong Wu:
A Load-Balanced Deterministic Runtime for Pipeline Parallelism. IEICE Trans. Inf. Syst. 98-D(2): 433-436 (2015) - [j17]Zhendong Wu, Kai Lu, Xiaoping Wang, Xu Zhou:
Collaborative Technique for Concurrency Bug Detection. Int. J. Parallel Program. 43(2): 260-285 (2015) - [j16]Kai Lu, Xu Zhou, Xiaoping Wang, Tom Bergan, Chen Chen:
An Efficient and Flexible Deterministic Framework for Multithreaded Programs. J. Comput. Sci. Technol. 30(1): 42-56 (2015) - [j15]Yi Zhang, Kai Lu, Kai Xu, Yinghui Gao, Richard C. Wilson:
Local feature point extraction for quantum images. Quantum Inf. Process. 14(5): 1573-1588 (2015) - [j14]Wenzhe Zhang, Kai Lu, Mikel Luján, Xiaoping Wang, Xu Zhou:
Write-Combined Logging: An Optimized Logging for Consistency in NVRAM. Sci. Program. 2015: 398369:1-398369:13 (2015) - [j13]Zhendong Wu, Kai Lu, Xiaoping Wang, Xu Zhou, Chen Chen:
Detecting harmful data races through parallel verification. J. Supercomput. 71(8): 2922-2943 (2015) - [c26]Zhendong Wu, Kai Lu, Xiaoping Wang:
Efficiently Trigger Data Races through Speculative Execution. HPCC/CSS/ICESS 2015: 90-95 - [c25]Zhendong Wu, Kai Lu, Xiaoping Wang:
Identifying Repeated Interleavings to Improve the Efficiency of Concurrency Bug Detection. ICA3PP (4) 2015: 175-188 - [c24]Kai Lu, Zhendong Wu, Xiaoping Wang, Chen Chen, Xu Zhou:
RaceChecker: Efficient Identification of Harmful Data Races. PDP 2015: 78-85 - 2014
- [j12]Kai Lu, Xiaoping Wang, Gen Li, Ruibo Wang, Wanqing Chi, Yongpeng Liu, Hong-Wei Tang, Hua Feng, Yinghui Gao:
Iaso: an autonomous fault-tolerant management system for supercomputers. Frontiers Comput. Sci. 8(3): 378-390 (2014) - [j11]Chen Chen, Kai Lu, Xiaoping Wang, Xu Zhou, Zhendong Wu:
DRDet: Efficiently Making Data Races Deterministic. IEICE Trans. Inf. Syst. 97-D(10): 2676-2684 (2014) - [j10]Xiaoping Wang, Yunhao Liu, Zheng Yang, Kai Lu, Jun Luo:
Robust Component-Based Localizationin Sparse Networks. IEEE Trans. Parallel Distributed Syst. 25(5): 1317-1327 (2014) - [c23]Xu Zhou, Gen Li, Kai Lu, Shuangxi Wang:
Enhancing the Security of Parallel Programs via Reducing Scheduling Space. DASC 2014: 133-138 - [c22]Gen Li, Ying Zhang, Shuangxi Wang, Kai Lu:
Online Taint Propagation Analysis with Precise Pointer-to Analysis for Detecting Bugs in Binaries. HPCC/CSS/ICESS 2014: 778-784 - [c21]Kai Lu, Yi Zhang, Kai Xu, Yinghui Gao, Richard C. Wilson:
Approximate Maximum Common Sub-graph Isomorphism Based on Discrete-Time Quantum Walk. ICPR 2014: 1413-1418 - [c20]Kai Lu, Xu Zhou, Tom Bergan, Xiaoping Wang:
Efficient deterministic multithreading without global barriers. PPoPP 2014: 287-300 - 2013
- [j9]Xiaoping Wang, Yunhao Liu, Zheng Yang, Kai Lu, Jun Luo:
OFA: An optimistic approach to conquer flip ambiguity in network localization. Comput. Networks 57(6): 1529-1544 (2013) - [j8]Xu Li, Kai Lu, Xiaoping Wang, Bin Dai, Xu Zhou:
Understanding the Impact of BPRAM on Incremental Checkpoint. IEICE Trans. Inf. Syst. 96-D(3): 663-672 (2013) - [j7]Xu Zhou, Kai Lu, Xiaoping Wang, Wenzhe Zhang, Kai Zhang, Xu Li, Gen Li:
Deterministic Message Passing for Distributed Parallel Computing. IEICE Trans. Inf. Syst. 96-D(5): 1068-1077 (2013) - [j6]Hong Zhu, Yongpeng Liu, Kai Lu, Xiaoping Wang:
Self-Adaptive Power Management of Idle Nodes in Large Scale Systems. Int. J. Next Gener. Comput. 4(2) (2013) - [j5]Yi Zhang, Kai Lu, Yinghui Gao, Mo Wang:
NEQR: a novel enhanced quantum representation of digital images. Quantum Inf. Process. 12(8): 2833-2860 (2013) - [j4]Yi Zhang, Kai Lu, Yinghui Gao, Kai Xu:
A novel quantum representation for log-polar images. Quantum Inf. Process. 12(9): 3103-3126 (2013) - [c19]Chen Chen, Kai Lu, Xiaoping Wang, Xu Zhou, Li Fang:
Pruning False Positives of Static Data-Race Detection via Thread Specialization. APPT 2013: 77-90 - [c18]Mo Wang, Kai Lu, Yi Zhang, Xiaoping Wang:
FLPI: representation of quantum images for log-polar coordinate. ICDIP 2013: 88780H - [c17]Kai Lu, Xu Zhou, Xiaoping Wang, Wenzhe Zhang, Gen Li:
RaceFree: an efficient multi-threading model for determinism. PPoPP 2013: 297-298 - [c16]Zhendong Wu, Kai Lu, Xiaoping Wang, Xu Zhou:
ColFinder Collaborative Concurrency Bug Detection. QSIC 2013: 208-211 - 2012
- [j3]Xu Zhou, Kai Lu, Xiaoping Wang, Xu Li:
Exploiting parallelism in deterministic shared memory multiprocessing. J. Parallel Distributed Comput. 72(5): 716-727 (2012) - [c15]Xu Li, Kai Lu, Xiaoping Wang, Xu Zhou:
NV-process: a fault-tolerance process model based on non-volatile memory. APSys 2012: 1 - [c14]Yongpeng Liu, Hong Zhu, Kai Lu, Xiaoping Wang:
Self-adaptive management of the sleep depths of idle nodes in large scale systems to balance between energy consumption and response times. CloudCom 2012: 633-639 - [c13]Yongpeng Liu, Hong Zhu, Kai Lu, Yongyan Liu:
A Power Provision and Capping Architecture for Large Scale Systems. IPDPS Workshops 2012: 954-963 - [c12]Xu Zhou, Kai Lu, Xicheng Lu, Xiaoping Wang, Baohua Fan:
dMPI: Facilitating Debugging of MPI Programs via Deterministic Message Passing. NPC 2012: 172-179 - 2011
- [j2]Xuejun Yang, Xiangke Liao, Kai Lu, Qingfeng Hu, Junqiang Song, Jinshu Su:
The TianHe-1A Supercomputer: Its Hardware and Software. J. Comput. Sci. Technol. 26(3): 344-351 (2011) - 2010
- [j1]Xuejun Yang, Xiangke Liao, Weixia Xu, Junqiang Song, Qingfeng Hu, Jinshu Su, Liquan Xiao, Kai Lu, Qiang Dou, Juping Jiang, Canqun Yang:
TH-1: China's first petaflop supercomputer. Frontiers Comput. Sci. China 4(4): 445-455 (2010) - [c11]Canqun Yang, Feng Wang, Yunfei Du, Juan Chen, Jie Liu, Huizhan Yi, Kai Lu:
Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing. CLUSTER 2010: 19-28 - [c10]Kai Lu, Ruibo Wang, Xicheng Lu:
Brief announcement: NUMA-aware transactional memory. PODC 2010: 69-70
2000 – 2009
- 2009
- [c9]Kai Lu, Wanqing Chi, Yongpeng Liu, Hong-Wei Tang:
HPVZ: A High Performance Virtual Computing Environment for Super Computers. APPT 2009: 205-219 - [c8]Ruibo Wang, Kai Lu, Xicheng Lu:
Two-phase conflict detection for transactional memory on clusters. CLUSTER 2009: 1-3 - [c7]Gen Li, Kai Lu, Ying Zhang, Xicheng Lu, Wei Zhang:
Decoupling Dynamic Test Generation from Specific Operating System Details Based on Whole System Virtual Machine. FCST 2009: 649-654 - [c6]Ruibo Wang, Kai Lu, Xicheng Lu:
Investigating transactional memory performance on ccNUMA machines. HPDC 2009: 67-68 - [c5]Gen Li, Kai Lu, Ying Zhang, Xicheng Lu, Wei Zhang:
Architecture- and OS-Independent Binary-Level Dynamic Test Generation. ICICS 2009: 198-210 - [c4]Ruibo Wang, Kai Lu:
Hierarchical Conflict Detection for Cluster's Transactional Memory. NCM 2009: 505-507 - [c3]Gen Li, Kai Lu, Ying Zhang, Xicheng Lu, Wei Zhang:
Mixing Concrete and Symbolic Execution to Improve the Performance of Dynamic Test Generation. NTMS 2009: 1-5 - 2003
- [c2]Dongsheng Li, Xinxin Fang, Yijie Wang, Xicheng Lu, Kai Lu, Nong Xiao:
A Scalable Peer-to-Peer Network with Constant Degree. APPT 2003: 414-424 - [c1]Dongsheng Li, Nong Xiao, Xicheng Lu, Yijie Wang, Kai Lu:
Dynamic Self-Adaptive Replica Location Method in Data Grids. CLUSTER 2003: 442-445
Coauthor Index
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