Yongjun Xu

Orcid: 0000-0001-6647-0986

Affiliations:
  • Chinese Academy and Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Yongjun Xu authored at least 192 papers between 2003 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
ID-centric Pre-training for Recommendation.
ACM Trans. Inf. Syst., September, 2025

GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values.
IEEE Trans. Knowl. Data Eng., August, 2025

AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes.
IEEE Trans. Knowl. Data Eng., August, 2025

S<sup>2</sup>Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation.
CoRR, August, 2025

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation.
CoRR, July, 2025

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.
CoRR, July, 2025

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.
CoRR, June, 2025

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.
CoRR, June, 2025

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.
CoRR, May, 2025

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
CoRR, May, 2025

PrePrompt: Predictive prompting for class incremental learning.
CoRR, May, 2025

Causal Discovery from Temporal Data: An Overview and New Perspectives.
ACM Comput. Surv., April, 2025

A Nonlinear Hash-based Optimization Method for SpMV on GPUs.
CoRR, April, 2025

A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction.
J. Comput. Sci. Technol., March, 2025

Efficient Continual Learning through Frequency Decomposition and Integration.
CoRR, March, 2025

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
IEEE Trans. Knowl. Data Eng., January, 2025

Low-redundancy distillation for continual learning.
Pattern Recognit., 2025

Trajectory-User Linking via Multi-Scale Graph Attention Network.
Pattern Recognit., 2025

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.
Inf. Fusion, 2025

A resource-aware workload scheduling method for unbalanced GEMMs on GPUs.
Comput. J., 2025

Classification-Based False Alarm Suppression for SAR Target Detection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Gensor: A Graph-Based Construction Tensor Compilation Method for Deep Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

OLN++: Improved Object Localization Network for Open-world Object Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Cross-Layer Graph Knowledge Distillation for Image Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

IOR: Inversed Objects Replay for Incremental Object Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-party Collaborative Attention Control for Image Customization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition.
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.
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.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Deep Distributional Reinforcement Learning-Based Adaptive Routing With Guaranteed Delay Bounds.
IEEE/ACM Trans. Netw., December, 2024

Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches.
IEEE/ACM Trans. Netw., October, 2024

Triple Dual Learning for Opinion-based Explainable Recommendation.
ACM Trans. Inf. Syst., May, 2024

Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training.
J. Parallel Distributed Comput., March, 2024

Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models.
CoRR, 2024

LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting.
CoRR, 2024

EGOR: Efficient Generated Objects Replay for incremental object detection.
CoRR, 2024

ID-centric Pre-training for Recommendation.
CoRR, 2024

Exemplar-Free Class Incremental Learning via Incremental Representation.
CoRR, 2024

Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems.
Comput. Commun., 2024

DTuner: A Construction-Based Optimization Method for Dynamic Tensor Operators Accelerating.
Proceedings of the Network and Parallel Computing, 2024

Continual Learning in the Frequency Domain.
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.
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.
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.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Online Policy Distillation with Decision-Attention.
Proceedings of the International Joint Conference on Neural Networks, 2024

An Evolutionary Search-Based Operator Fusion Method with Binary Representation for Deep Learning Inference Acceleration.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

SCP: A Structure Combination Pruning Method via Structured Sparse for Deep Convolutional Neural Networks.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting.
Proceedings of the IEEE International Conference on Acoustics, 2024

CLIP-KD: An Empirical Study of CLIP Model Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Online Relational Knowledge Distillation for Image Classification.
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.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Self-Improvement Programming for Temporal Knowledge Graph Question Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Heterogeneous Graph Neural Network With Multi-View Representation Learning.
IEEE Trans. Knowl. Data Eng., November, 2023

Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement.
ACM Trans. Inf. Syst., October, 2023

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
CoRR, 2023

E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network.
CoRR, 2023

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting.
CoRR, 2023

CLIP-KD: An Empirical Study of Distilling CLIP Models.
CoRR, 2023

Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation.
CoRR, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
CoRR, 2023

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation.
CoRR, 2023

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Weighted Knowledge Graph Embedding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Attacking Pre-trained Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge Graph Error Detection with Hierarchical Path Structure.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification.
Sensors, 2022

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
Proc. VLDB Endow., 2022

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
CoRR, 2022

Lifelong Generative Learning via Knowledge Reconstruction.
CoRR, 2022

AR-GAIL: Adaptive routing protocol for FANETs using generative adversarial imitation learning.
Comput. Networks, 2022

Trajectory Prediction from Hierarchical Perspective.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Timely-throughput Optimal Scheduling for Wireless Flows with Deep Reinforcement Learning.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Localizing Semantic Patches for Accelerating Image Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition.
Proceedings of the Computer Vision, 2022

Human Mobility Identification by Deep Behavior Relevant Location Representation.
Proceedings of the Database Systems for Advanced Applications, 2022

Cross-Image Relational Knowledge Distillation for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2022

Mutual Contrastive Learning for Visual Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Prior Gradient Mask Guided Pruning-Aware Fine-Tuning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Interpretable Generative Adversarial Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration.
CoRR, 2021

A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks.
CoRR, 2021

MPRdeep: Multi-Objective Joint Optimal Node Positioning and Resource Allocation for FANETs with Deep Reinforcement learning.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

INCdeep: Intelligent Network Coding with Deep Reinforcement Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Channel Pruning via Multi-Criteria based on Weight Dependency.
Proceedings of the International Joint Conference on Neural Networks, 2021

On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution.
Proceedings of the International Joint Conference on Neural Networks, 2021

Soft and Hard Filter Pruning via Dimension Reduction.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Self-supervised Augmented Knowledge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Novel Distributed Method For Time-Critical Task Allocation Problems In Multi-UAV System.
Proceedings of the ICC 2021, 2021

Multi-View Contrastive Learning for Online Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Shortest Uplink Scheduling for NOMA-Based Industrial Wireless Networks.
IEEE Syst. J., 2020

Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA.
IEEE Syst. J., 2020

Data Security and Privacy Challenges of Computing Offloading in FINs.
IEEE Netw., 2020

Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data.
ISPRS Int. J. Geo Inf., 2020

GHFP: Gradually Hard Filter Pruning.
CoRR, 2020

PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration.
CoRR, 2020

Multi-view Contrastive Learning for Online Knowledge Distillation.
CoRR, 2020

Localizing Multi-scale Semantic Patches for Image Classification.
CoRR, 2020

MPDMAC-SIC: Priority-based distributed low delay MAC with successive interference cancellation for multi-hop industrial wireless networks.
Comput. Commun., 2020

QMR: Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks.
Comput. Commun., 2020

A Self-adaptive Low Delay MAC Protocol For Event-driven Industrial Wireless Networks.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

ARdeep: Adaptive and Reliable Routing Protocol for Mobile Robotic Networks with Deep Reinforcement Learning.
Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020

A Highly Efficient Dynamical Core of Atmospheric General Circulation Model based on Leap-Format.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Efficient Search for the Number of Channels for Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

TULSN: Siamese Network for Trajectory-user Linking.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

HLNet: Modeling High and Low Frequencies for Scene Parsing.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Trajectory-User Link with Attention Recurrent Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Softer Pruning, Incremental Regularization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards More Efficient And Effective Inference: The Joint Decision Of Multi-Participants.
Proceedings of the IEEE International Conference on Image Processing, 2020

CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Low-complexity uplink scheduling algorithms with power control in successive interference cancellation based wireless mud-logging systems.
Wirel. Networks, 2019

LAMANCO: A Lightweight Anonymous Mutual Authentication Scheme for $N$ -Times Computing Offloading in IoT.
IEEE Internet Things J., 2019

Rethinking the Number of Channels for the Convolutional Neural Network.
CoRR, 2019

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.
CoRR, 2019

EENA: Efficient Evolution of Neural Architecture.
CoRR, 2019

MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs.
IEEE Access, 2019

EENA: Efficient Evolution of Neural Architecture.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Multi-objective Pruning for CNNs Using Genetic Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Real-time Ship Track Association: a Benchmark and a Network-Based Method.
Proceedings of the 22th International Conference on Information Fusion, 2019

L0 Regularization based Fine-grained Neural Network Pruning Method.
Proceedings of the 11th International Conference on Electronics, 2019

PDMAC-SIC: Priority-based Distributed Low Delay MAC with Successive Interference Cancellation for Industrial Wireless Networks.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

2018
Optimal Power Scheduling for Uplink Transmissions in SIC-Based Industrial Wireless Networks With Guaranteed Real-Time Performance.
IEEE Trans. Veh. Technol., 2018

Complexity of minimum uplink scheduling in backbone-assisted successive interference cancellation-based wireless networks.
Comput. Networks, 2018

A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device.
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.
IEEE Trans. Ind. Informatics, 2017

A certifiable resource allocation for real-time multi-hop 6TiSCH wireless networks.
Proceedings of the IEEE 13th International Workshop on Factory Communication Systems, 2017

Optimal Power Scheduling for SIC-Based Uplink Wireless Networks with Guaranteed Real-Time Performance.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

EPAF: An Efficient Pseudonymous-Based Inter-vehicle Authentication Framework for VANET.
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017

2016
2FLIP: A Two-Factor Lightweight Privacy-Preserving Authentication Scheme for VANET.
IEEE Trans. Veh. Technol., 2016

Keep all mobile users′ whereabouts secure: a radio frequency identification protocol anti-tracking in 5G.
Int. J. Commun. Syst., 2016

LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication.
Computing, 2016

TDMA versus CSMA/CA for wireless multi-hop communications: A comparison for soft real-time networking.
Proceedings of the IEEE World Conference on Factory Communication Systems, 2016

A Reliable Depth-Based Routing Protocol with Network Coding for Underwater Sensor Networks.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015
A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory.
Int. J. Distributed Sens. Networks, 2015

Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks.
Int. J. Distributed Sens. Networks, 2015

Vessel trajectory partitioning based on hierarchical fusion of position data.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Achieving optimal admission control with dynamic scheduling in energy constrained network systems.
J. Netw. Comput. Appl., 2014

A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks.
Proceedings of the International Conference on Computing, Networking and Communications, 2014

Belief Fusion of Predictions of Industries in China's Stock Market.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
Time Synchronization in Wireless Sensor Networks Using Max and Average Consensus Protocol.
Int. J. Distributed Sens. Networks, 2013

Distributed Middleware of Large-Scale Wireless Networks.
Int. J. Distributed Sens. Networks, 2013

A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks.
Int. J. Distributed Sens. Networks, 2013

OPCPP: An Online Plug-Configure-Play Experiment Platform for WSN.
Int. J. Distributed Sens. Networks, 2013

Plug-configure-Play Service-oriented Gateway - For Fast and Easy Sensor Network Application Development.
Proceedings of the SENSORNETS 2013, 2013

Odometer in the pocket.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Authenticating and tracing biological anonym of VANET based on KMC decentralization and two-factor.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Poster abstract: human tracking based on LRF and wearable IMU data fusion.
Proceedings of the 12th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2013), 2013

The construction and research of lightweight cryptography SOPT-S boxes based on the inverse mapping in galois field.
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2012
An energy-efficient link quality monitoring scheme for wireless networks.
Wirel. Commun. Mob. Comput., 2012

Localization Algorithms of Underwater Wireless Sensor Networks: A Survey.
Sensors, 2012

2011
A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems.
IEEE Trans. Ind. Electron., 2011

Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks.
IEEE Trans. Ind. Electron., 2011

A Security Mechanism For RFID With Dependable Proxy.
Intell. Autom. Soft Comput., 2011

2010
Passive Loss Inference in Wireless Sensor Networks Using EM Algorithm.
Wirel. Sens. Netw., 2010

Linear Pulse-Coupled Oscillators Model¬ - A New Approach for Time Synchronization in Wireless Sensor Networks.
Wirel. Sens. Netw., 2010

2009
A sensor network performance inference algorithm based on passive measurement.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

2008
An Improved Genetic Algorithm Based on Variable Step-Size Search.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

2007
Acoustic Source Localization in Wireless Sensor Networks.
Proceedings of the Workshop on Intelligent Information Technology Application, 2007

Applying Wireless Sensor Networks to Context-Awareness in Ubiquitous Learning.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
A Tamper-resistance Key Pre-distribution Scheme for Wireless Sensor Networks.
Proceedings of the Grid and Cooperative Computing Workshops, 2006

A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks.
Proceedings of the Advanced Web and Network Technologies, and Applications, 2006

A Lightweight Scheme for Trust Relationship Establishment in Ubiquitous Sensor Networks.
Proceedings of the Sixth International Conference on Computer and Information Technology (CIT 2006), 2006

2005
Non-robust Test Generation for Crosstalk-Induced Delay Faults.
Proceedings of the 14th Asian Test Symposium (ATS 2005), 2005

Vector extraction for average total power estimation.
Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005

2004
Leakage Current Estimation of CMOS Circuit with Stack Effect.
J. Comput. Sci. Technol., 2004

A maximum total leakage current estimation method.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

2003
Average Leakage Current Macromodeling for Dual-Threshold Voltage Circuits.
Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003

Test Resource Partitioning Based on Efficient Response Compaction for Test Time and Teste.
Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003


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