Jun Chen

Orcid: 0000-0001-6568-8801

Affiliations:

Zhejiang University, Institute of Cyber-Systems and Control, China
Zhejiang University, Laboratory of Advanced Perception on Robotics and Intelligent Learning, College of Control Science and Engineering, Hangzhou, China (PhD 2007)

According to our database¹, Jun Chen authored at least 32 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

Learning Multi-Agent Cooperation via Considering Actions of Teammates.

[BibT_eX]

[DOI]

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

DCCD: Reducing Neural Network Redundancy via Distillation.

[BibT_eX]

[DOI]

Yuang Liu

Jun Chen

Yong Liu

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

Semi-supervised noise-resilient anomaly detection with feature autoencoder.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Towards efficient filter pruning via adaptive automatic structure search.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2024

M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structured Optimal Brain Pruning for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Timestep-Aware Correction for Quantized Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition.

[BibT_eX]

[DOI]

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

2023

Multi-Dimension Compression of Feed-Forward Network in Vision Transformers.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., December, 2023

Data-free quantization via mixed-precision compensation without fine-tuning.

[BibT_eX]

[DOI]

Pattern Recognit., November, 2023

Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition.

[BibT_eX]

[DOI]

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

CR-SFP: Learning Consistent Representation for Soft Filter Pruning.

[BibT_eX]

[DOI]

CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Discretized Neural Networks under Ricci Flow.

[BibT_eX]

[DOI]

CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Global-aware Kernel for Image Harmonization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

3QNet: 3D Point Cloud Geometry Quantization Compression Network.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

Fast Point Cloud Sampling Network.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Towards efficient filter pruning via topology.

[BibT_eX]

[DOI]

J. Real Time Image Process., 2022

SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Resolution-Free Point Cloud Sampling Network with Data Distillation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Train a Point Cloud Reconstruction Network Without Matching.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Dynamically Stable Poincaré Embeddings for Neural Manifolds.

[BibT_eX]

[DOI]

CoRR, 2021

Thoughts on the Consistency between Ricci Flow and Neural Network Behavior.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment.

[BibT_eX]

[DOI]

CoRR, 2020

Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter.

[BibT_eX]

[DOI]

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Jun Chen

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