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Publication search results
found 181 matches
- 2024
- Lei Guan, Dong-Sheng Li, Jiye Liang, Wen-Jian Wang, Ke-shi Ge, Xicheng Lu:
Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview. J. Comput. Sci. Technol. 39(3): 567-584 (2024) - Luowen Rao, Xicheng Tan, Yanfei Zhong, Chunhui Chen, Zeenat Khadim Hussain, Ailong Ma, Huamin Wang, Shengpeng Yin, Fangyu Liu, Zhiyuan Mei:
LCEVES: A locally constrained evolutionary algorithm for vehicle evacuation scheduling under urban waterlogging risk. Trans. GIS 28(5): 1439-1461 (2024) - Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Dong Yang, Xicheng Lu:
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. LREC/COLING 2024: 9668-9680 - Xicheng Lu, Zhendong Chen, Wei Liu, Haixin Sun:
One-Bit Underdetermined DOA Estimation with Sparse Arrays via Structured Covariance Reconstruction: Invited Paper. WINCOM 2024: 1-6 - Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Dong Yang, Xicheng Lu:
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. CoRR abs/2403.17532 (2024) - 2023
- Yilin Wang, Zhen Huang, Minghao Hu, Dongsheng Li, Xicheng Lu, Wei Luo, Dong Yang:
Structure Enhanced Path Reasoning for Knowledge Graph Completion. Int. J. Intell. Syst. 2023: 1-18 (2023) - Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu:
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction. IJCAI 2023: 2332-2342 - Xicheng Lu, Wei Liu, Akram Alomainy:
A 1.5-bit Quantization Scheme and Its Application to Sparse Array Direction Estimation. ISWCS 2023: 1-5 - Lei Guan, Dongsheng Li, Jiye Liang, Wenjian Wang, Xicheng Lu:
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction. CoRR abs/2312.00839 (2023) - 2022
- Zijiang Yang, Jie Zeng, Xicheng Huang, Yang Lu:
Research on Man-Machine Interface Design Based on Intelligent Vehicle. HCI (13) 2022: 276-285 - Yifan Chen, Zhan Huang, Minghao Hu, Dongsheng Li, Changjian Wang, Ankun Wang, Boyang Wang, Xicheng Lu:
Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition. ICTAI 2022: 219-227 - 2021
- Lei Guan, Zhi-hui Yang, Dongsheng Li, Xicheng Lu:
pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency. Neurocomputing 435: 264-272 (2021) - 2020
- Lei Guan, Tao Sun, Linbo Qiao, Zhi-hui Yang, Dongsheng Li, Ke-shi Ge, Xicheng Lu:
An efficient parallel and distributed solution to nonconvex penalized linear SVMs. Frontiers Inf. Technol. Electron. Eng. 21(4): 587-603 (2020) - Zhenzhen Li, Dawei Feng, Dongsheng Li, Xicheng Lu:
Learning to select pseudo labels: a semi-supervised method for named entity recognition. Frontiers Inf. Technol. Electron. Eng. 21(6): 903-916 (2020) - Ziling Wei, Jinshu Su, Baokang Zhao, Xicheng Lu:
Distributed Opportunistic Scheduling in Cooperative Networks With RF Energy Harvesting. IEEE/ACM Trans. Netw. 28(5): 2257-2270 (2020) - 2019
- Fang Huang, Jun Lu, Jian Tao, Li Li, Xicheng Tan, Peng Liu:
Research on Optimization Methods of ELM Classification Algorithm for Hyperspectral Remote Sensing Images. IEEE Access 7: 108070-108089 (2019) - Chen Zhang, Jiaxin Li, Dongsheng Li, Xicheng Lu:
Understanding and Statically Detecting Synchronization Performance Bugs in Distributed Cloud Systems. IEEE Access 7: 99123-99135 (2019) - Ziling Wei, Baokang Zhao, Jinshu Su, Xicheng Lu:
Dynamic Edge Computation Offloading for Internet of Things With Energy Harvesting: A Learning Method. IEEE Internet Things J. 6(3): 4436-4447 (2019) - Menglong Lu, Lin-Bo Qiao, Dawei Feng, Dongsheng Li, Xicheng Lu:
Mini-batch cutting plane method for regularized risk minimization. Frontiers Inf. Technol. Electron. Eng. 20(11): 1551-1563 (2019) - Lei Guan, Wotao Yin, Dongsheng Li, Xicheng Lu:
XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training. CoRR abs/1911.04610 (2019) - 2018
- Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu:
On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability. Neurocomputing 307: 78-90 (2018) - Yiming Zhang, Dongsheng Li, Zhigang Sun, Feng Zhao, Jinshu Su, Xicheng Lu:
CSR: Classified Source Routing in Distributed Networks. IEEE Trans. Cloud Comput. 6(2): 464-477 (2018) - Feng Huang, Yiming Zhang, Dongsheng Li, Jiaxin Li, Jie Wu, Kaijun Ren, Deke Guo, Xicheng Lu:
meGautz: A High Capacity, Fault-Tolerant and Traffic Isolated Modular Datacenter Network. IEEE Trans. Serv. Comput. 11(1): 117-130 (2018) - Jiaxin Li, Yuxi Chen, Haopeng Liu, Shan Lu, Yiming Zhang, Haryadi S. Gunawi, Xiaohui Gu, Xicheng Lu, Dongsheng Li:
Pcatch: automatically detecting performance cascading bugs in cloud systems. EuroSys 2018: 7:1-7:14 - Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu:
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. ICDM Workshops 2018: 1209-1216 - Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu:
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. IJCNN 2018: 1-8 - Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu:
On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probability. CoRR abs/1801.06934 (2018) - Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu:
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. CoRR abs/1804.04606 (2018) - Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Ke-shi Ge, Xicheng Lu:
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. CoRR abs/1809.03655 (2018) - 2017
- Ke-shi Ge, Huayou Su, Dong-sheng Li, Xicheng Lu:
Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit. Frontiers Inf. Technol. Electron. Eng. 18(7): 915-927 (2017)
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