2025
End-to-end model compression via pruning and knowledge distillation for lightweight image super resolution.
Pattern Anal. Appl., June, 2025
CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection.
CoRR, June, 2025
MSFFNet: multi-scale feature fusion network with semantic optimization for crowd counting.
Pattern Anal. Appl., March, 2025
ACEBench: Who Wins the Match Point in Tool Learning?
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CoRR, January, 2025
DCFT: Dependency-aware continual learning fine-tuning for sparse LLMs.
Neurocomputing, 2025
CBQ: Cross-Block Quantization for Large Language Models.
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Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Towards Precise Scaling Laws for Video Diffusion Transformers.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
A Semi-supervised crowd counting method based on patch crowds statistics.
Pattern Anal. Appl., December, 2024
Online Fault Diagnosis of Industrial Robot Using IoRT and Hybrid Deep Learning Techniques: An Experimental Approach.
IEEE Internet Things J., October, 2024
Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection.
Multim. Tools Appl., April, 2024
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs.
CoRR, 2024
PQ-SAM: Post-training Quantization for Segment Anything Model.
Proceedings of the Computer Vision - ECCV 2024, 2024
Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting.
Proceedings of the Asian Conference on Machine Learning, 2024
2023
Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach.
Soft Comput., April, 2023
Exploring density rectification and domain adaption method for crowd counting.
Neural Comput. Appl., February, 2023
A practical study of active disturbance rejection control for rotary flexible joint robot manipulator.
Soft Comput., 2023
Consecutive layer collaborative filter similarity for differentiable neural network pruning.
Neurocomputing, 2023
HTNet: A Hybrid Model Boosted by Triple Self-attention for Crowd Counting.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
Weight-Dependent Gates for Network Pruning.
IEEE Trans. Circuits Syst. Video Technol., 2022
CorrNet: pearson correlation based pruning for efficient convolutional neural networks.
Int. J. Mach. Learn. Cybern., 2022
Jointly attention network for crowd counting.
Neurocomputing, 2022
LDP: A Large Diffuse Filter Pruning to Slim the CNN.
Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022
Ghost Attention Efficient Network for Crowd Counting.
Proceedings of the 7th International Conference on Computer and Communication Systems, 2022
Semi-supervised Crowd Counting based on Patch Crowds Statistics.
Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022
2021
Depth and edge auxiliary learning for still image crowd density estimation.
Pattern Anal. Appl., 2021
Adaptive weighted crowd receptive field network for crowd counting.
Pattern Anal. Appl., 2021
CFFNet: Coordinated feature fusion network for crowd counting.
Image Vis. Comput., 2021
EDENet: Elaborate density estimation network for crowd counting.
Neurocomputing, 2021
Multi-level feature fusion network for crowd counting.
IET Comput. Vis., 2021
Pruning filters with L1-norm and capped L1-norm for CNN compression.
Appl. Intell., 2021
ARNet: Accurate and Real-Time Network for Crowd Counting.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Boosting Mobile CNN Inference through Semantic Memory.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Scale-aware and Anti-interference Convolutional Network for Crowd Counting.
Proceedings of the International Joint Conference on Neural Networks, 2021
Mix-groups Attention Network for Object Detection.
Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Context-based Feature Fusion Network for Object Detection.
Proceedings of the ICAIP 2020: 4th International Conference on Advances in Image Processing, 2020
Feature Reaggregation Network for Crowd Counting.
Proceedings of the ICAIP 2020: 4th International Conference on Advances in Image Processing, 2020
Weight-Dependent Gates for Differentiable Neural Network Pruning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
2019
Removing background interference for crowd counting via de-background detail convolutional network.
Neurocomputing, 2019
Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
A novel POMDP-based server RAM caching algorithm for VoD systems.
Multim. Tools Appl., 2018
A SMDP-based forwarding scheme in named data networking.
Neurocomputing, 2018
Skip-connection convolutional neural network for still image crowd counting.
Appl. Intell., 2018
A modified artificial bee colony approach for the 0-1 knapsack problem.
Appl. Intell., 2018
2017
A Game Theoretic Framework for Congestion Control in Named Data Networking.
Inf. Technol. Control., 2017
A POMDP framework for forwarding mechanism in named data networking.
Comput. Networks, 2017
2016
Event-based optimization for admission control in distributed service system.
Telecommun. Syst., 2016
A reinforcement-learning approach for admission control in distributed network service systems.
J. Comb. Optim., 2016
Analysis of topology dynamics for unstructured P2P networks.
Comput. Commun., 2016
A novel joint adaptive forwarding and resource allocation strategy for named data networking based on SMDP.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
A novel landmark point selection method for L-ISOMAP.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
Sampled-data feedback control of Han canonical form.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
2015
A landmark selection method for L-Isomap based on greedy algorithm and its application.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Modeling and Analysis for Streaming Service Systems.
Int. J. Autom. Comput., 2014
Switching-POMDP based admission control policies for service systems with distributed architecture.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014
2012
Modeling and analysis for the P2P-based media delivery network.
Math. Comput. Model., 2012
Admission control with elastic QoS for video on demand systems.
Int. J. Autom. Comput., 2012
2011
Finding optimal memoryless policies of POMDPs under the expected average reward criterion.
Eur. J. Oper. Res., 2011
2008
Partially Observable Markov Decision Processes and Performance Sensitivity Analysis.
IEEE Trans. Syst. Man Cybern. Part B, 2008
Performance Optimization of Semi-Markov Decision Processes with Discounted-cost Criteria.
Eur. J. Control, 2008
Event-related optimization for a class of resource location with admission control.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Sensitivity analysis and estimates of the performance for M/G/1 queueing systems.
Perform. Evaluation, 2007
Error bounds of optimization algorithms for semi-Markov decision processes.
Int. J. Syst. Sci., 2007
Estimation of System Power Consumption on Mobile Computing Devices.
Proceedings of the Computational Intelligence and Security, International Conference, 2007
Adaptive Optimization of Time-out Policy for Dynamic Power Management Based on SMCP.
Proceedings of the IEEE International Conference on Control Applications, 2007
2005
The optimal robust control policy for uncertain semi-Markov control processes.
Int. J. Syst. Sci., 2005
Simulation-Based Optimization of Singularly Perturbed Markov Reward Processes with States Aggregation.
Proceedings of the Advances in Intelligent Computing, 2005
2003
Performance optimization of continuous-time Markov control processes based on performance potentials.
Int. J. Syst. Sci., 2003