Zhulin An

According to our database, Zhulin An authored at least 96 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ID-centric Pre-training for Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Zhulin An, Yongjun Xu

ACM Trans. Inf. Syst., September, 2025

GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values.

Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, Yongjun Xu

IEEE Trans. Knowl. Data Eng., August, 2025

AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes.

Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu

IEEE Trans. Knowl. Data Eng., August, 2025

S²Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation.

Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu

CoRR, August, 2025

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation.

Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang

CoRR, July, 2025

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.

Yuqi Li, Chuanguang Yang, Hansheng Zeng, Zeyu Dong, Zhulin An, Yongjun Xu, Yingli Tian, Hao Wu

CoRR, July, 2025

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.

Yuqi Li, Junhao Dong, Zeyu Dong, Chuanguang Yang, Zhulin An, Yongjun Xu

CoRR, June, 2025

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.

Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu

CoRR, June, 2025

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.

Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno

CoRR, May, 2025

PrePrompt: Predictive prompting for class incremental learning.

Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu

CoRR, May, 2025

A Nonlinear Hash-based Optimization Method for SpMV on GPUs.

Chen Yan, Boyu Diao, Hangda Liu, Zhulin An, Yongjun Xu

CoRR, April, 2025

Efficient Continual Learning through Frequency Decomposition and Integration.

Ruiqi Liu, Boyu Diao, Libo Huang, Hangda Liu, Chuanguang Yang, Zhulin An, Yongjun Xu

CoRR, March, 2025

Low-redundancy distillation for continual learning.

Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Hangda Liu, Zhulin An, Yongjun Xu

Pattern Recognit., 2025

Classification-Based False Alarm Suppression for SAR Target Detection.

Nan Yang, Libo Huang, Zhulin An, Yongjun Xu, Xia Hong, Wing-Kuen Ling

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

OLN++: Improved Object Localization Network for Open-world Object Detection.

Haonan Mai, Libo Huang, Zhulin An, Jiarui Zhao, Chuanguang Yang, Erhu Zhao, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Cross-Layer Graph Knowledge Distillation for Image Recognition.

Jiaming Chu, Yanzhuo Xiang, Yuqi Li, Chuanguang Yang, Zhulin An, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

IOR: Inversed Objects Replay for Incremental Object Detection.

Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-party Collaborative Attention Control for Image Customization.

Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition.

Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation.

Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models.

Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration.

Yanming Chen, Gang Wu, Mingrui Shuai, Shubin Lou, Yiwen Zhang, Zhulin An

Int. J. Mach. Learn. Cybern., July, 2024

Triple Dual Learning for Opinion-based Explainable Recommendation.

Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu

ACM Trans. Inf. Syst., May, 2024

Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism.

Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou

IEEE Trans. Medical Imaging, April, 2024

Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training.

Li-Rong Dai, Luqi Gong, Zhulin An, Yongjun Xu, Boyu Diao

J. Parallel Distributed Comput., March, 2024

Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution.

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Multi-scale conditional reconstruction generative adversarial network.

Yanming Chen, Jiahao Xu, Zhulin An, Fuzhen Zhuang

Image Vis. Comput., January, 2024

Open-category referring expression comprehension via multi-modal knowledge transfer.

Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo

Neurocomputing, 2024

LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting.

Yisong Fu, Fei Wang, Zezhi Shao, Chengqing Yu, Yujie Li, Zhao Chen, Zhulin An, Yongjun Xu

CoRR, 2024

EGOR: Efficient Generated Objects Replay for incremental object detection.

Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu

CoRR, 2024

Exemplar-Free Class Incremental Learning via Incremental Representation.

Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu

CoRR, 2024

Continual Learning in the Frequency Domain.

Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.

Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Relational Diffusion Distillation for Efficient Image Generation.

Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.

Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Online Policy Distillation with Decision-Attention.

Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning.

Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

CLIP-KD: An Empirical Study of CLIP Model Distillation.

Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Online Relational Knowledge Distillation for Image Classification.

Yihang Zhou, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Class-wise Image Mixture Guided Self-Knowledge Distillation for Image Classification.

Zeyu Dong, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.

Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network.

Ruiqi Liu, Boyu Diao, Libo Huang, Zhulin An, Yongjun Xu

CoRR, 2023

CLIP-KD: An Empirical Study of Distilling CLIP Models.

Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Yongjun Xu

CoRR, 2023

Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation.

Chuanguang Yang, Xinqiang Yu, Zhulin An, Yongjun Xu

CoRR, 2023

Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023.

Yuqi Li, Yizhi Luo, Xiaoshuai Hao, Chuanguang Yang, Zhulin An, Dantong Song, Wei Yi

CoRR, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.

Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu

CoRR, 2023

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

CoRR, 2023

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism.

Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou

CoRR, 2023

Weighted Knowledge Graph Embedding.

Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.

Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.

Chuanguang Yang, Zhulin An, Helong Zhou, Yongjun Xu, Qian Zhang

CoRR, 2022

Lifelong Generative Learning via Knowledge Reconstruction.

Libo Huang, Zhulin An, Xiang Zhi, Yongjun Xu

CoRR, 2022

Localizing Semantic Patches for Accelerating Image Classification.

Chuanguang Yang, Zhulin An, Yongjun Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

FPAR: Filter Pruning Via Attention and Rank Enhancement.

Yanming Chen, Mingrui Shuai, Shubin Lou, Zhulin An, Yiwen Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition.

Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang

Proceedings of the Computer Vision, 2022

Cross-Image Relational Knowledge Distillation for Semantic Segmentation.

Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mutual Contrastive Learning for Visual Representation Learning.

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Prior Gradient Mask Guided Pruning-Aware Fine-Tuning.

Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks.

Lizhen Cui, Jian Cao, Zhulin An, Yong Yang, Qianqian Guo

Int. J. Distributed Sens. Networks, 2021

A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks.

Boyu Diao, Chao Li, Qi Wang, Zhulin An, Yongjun Xu

CoRR, 2021

Soft and Hard Filter Pruning via Dimension Reduction.

Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Self-supervised Augmented Knowledge Distillation.

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-View Contrastive Learning for Online Knowledge Distillation.

Chuanguang Yang, Zhulin An, Yongjun Xu

Proceedings of the IEEE International Conference on Acoustics, 2021

Feature Learning by Attention and Ensemble with 3D U-Net to Glioma Tumor Segmentation.

Xiaohong Cai, Shubin Lou, Mingrui Shuai, Zhulin An

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

GHFP: Gradually Hard Filter Pruning.

Linhang Cai, Zhulin An, Yongjun Xu

CoRR, 2020

Multi-view Contrastive Learning for Online Knowledge Distillation.

Chuanguang Yang, Zhulin An, Xiaolong Hu, Hui Zhu, Kaiqiang Xu, Yongjun Xu

CoRR, 2020

Localizing Multi-scale Semantic Patches for Image Classification.

Chuanguang Yang, Xiaolong Hu, Zhulin An, Hui Zhu, Yongjun Xu

CoRR, 2020

Efficient Search for the Number of Channels for Convolutional Neural Networks.

Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

HLNet: Modeling High and Low Frequencies for Scene Parsing.

Kaiqiang Xu, Zhulin An, Hui Zhu, Xiaolong Hu, Yongjun Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Softer Pruning, Incremental Regularization.

Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards More Efficient And Effective Inference: The Joint Decision Of Multi-Participants.

Hui Zhu, Zhulin An, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu

Proceedings of the IEEE International Conference on Image Processing, 2020

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners.

Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.

Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rethinking the Number of Channels for the Convolutional Neural Network.

Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu

CoRR, 2019

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.

Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kaiqiang Xu, Chao Li, Boyu Diao, Yongjun Xu

CoRR, 2019

EENA: Efficient Evolution of Neural Architecture.

Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Yongjun Xu

CoRR, 2019

MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs.

Chao Li, Yida Xu, Yongjun Xu, Boyu Diao, Zhulin An

IEEE Access, 2019

EENA: Efficient Evolution of Neural Architecture.

Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Multi-objective Pruning for CNNs Using Genetic Algorithm.

Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

L0 Regularization based Fine-grained Neural Network Pruning Method.

Qixin Xie, Chao Li, Boyu Diao, Zhulin An, Yongjun Xu

Proceedings of the 11th International Conference on Electronics, 2019

2018

A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device.

Chao Li, Xiaolong Ma, Zhulin An, Yongjun Xu

Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

2017

TDMA Versus CSMA/CA for Wireless Multihop Communications: A Stochastic Worst-Case Delay Analysis.

Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg, Zhulin An, Christian Fraboul

IEEE Trans. Ind. Informatics, 2017

2016

Optimal scheduling for energy harvesting mobile sensing devices.

Weiwei Fang, Xiaojie Zhao, Yuan An, Jing Li, Zhulin An, Qiang Liu

Comput. Commun., 2016

TDMA versus CSMA/CA for wireless multi-hop communications: A comparison for soft real-time networking.

Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg, Zhulin An, Christian Fraboul

Proceedings of the IEEE World Conference on Factory Communication Systems, 2016

A Reliable Depth-Based Routing Protocol with Network Coding for Underwater Sensor Networks.

Boyu Diao, Yongjun Xu, Qi Wang, Zhao Chen, Chao Li, Zhulin An, Guangjie Han

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015

Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks.

Boyu Diao, Yongjun Xu, Zhulin An, Fei Wang, Chao Li

Int. J. Distributed Sens. Networks, 2015

Vessel trajectory partitioning based on hierarchical fusion of position data.

Xianbin Wu, Lin Wu, Yongjun Xu, Zhulin An, Boyu Diao

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Achieving optimal admission control with dynamic scheduling in energy constrained network systems.

Weiwei Fang, Zhulin An, Lei Shu, Qingyu Liu, Yongjun Xu, Yuan An

J. Netw. Comput. Appl., 2014

2013

Time Synchronization in Wireless Sensor Networks Using Max and Average Consensus Protocol.

Dengchang Zhao, Zhulin An, Yongjun Xu

Int. J. Distributed Sens. Networks, 2013

Odometer in the pocket.

Lin Wu, YongJun Xu, Zhulin An, Chaonong Xu, Fei Wang

Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Poster abstract: human tracking based on LRF and wearable IMU data fusion.

Lin Wu, Zhulin An, YongJun Xu, Li Cui

Proceedings of the 12th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2013), 2013

2011

Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks.

Zhulin An, Hongsong Zhu, Xinrong Li, Chaonong Xu, Yongjun Xu, Xiaowei Li

IEEE Trans. Ind. Electron., 2011

2010

Passive Loss Inference in Wireless Sensor Networks Using EM Algorithm.

Yu Yang, Zhulin An, Yongjun Xu, Xiaowei Li, Canfeng Chen

Wirel. Sens. Netw., 2010

Linear Pulse-Coupled Oscillators Model¬ - A New Approach for Time Synchronization in Wireless Sensor Networks.

Zhulin An, Hongsong Zhu, Meilin Zhang, Chaonong Xu, Yongjun Xu, Xiaowei Li

Wirel. Sens. Netw., 2010

2008

An Improved Genetic Algorithm Based on Variable Step-Size Search.

Guannan Zhu, Ning Xu, Zhulin An, Yongjun Xu

Proceedings of the 9th International Conference for Young Computer Scientists, 2008