陈佳鑫 (Jiaxin Chen)
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Associate Professor |
Brief Introduction
Dr. Jiaxin Chen received his Ph.D. degree in Computer Applications Technology from Beihang University in 2017. From 2017 to 2018, he was a Postdoctoral Fellow at New York University Abu Dhabi (NYUAD). From 2018 to 2021, he was a research scientist at Inception Institute of Artificial Intelligence (IIAI). His current research interests include efficient training and inference on large multi-modal fundamental models and visual perception for unmanned systems. He has authored/co-authored over 20 papers in top-tier conferences/journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), IEEE Transactions on Image Processing (IEEE TIP), CVPR, ICCV, ECCV and NeurIPS.
Research Interests
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Efficient Training and Inference on Large Fundamental Models: Parameter-Efficient Fine-Tuning (PEFT) [project]; Deep Model Compression (Pruning, Quantization, Distilling) [project]
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Visual Perception for Unmanned Systems (e.g. Drones or Autonomous Cars): Object Detection/Tracking [project]
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Imagery/Video Analysis: Object Re-Identificatioin/Search/Retrieval [project]；Compressed Video Analysis [project]
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Machine Learning: Self-Supervised Learning；Learning to Hash；Metric Learning
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3D Computer Vision: 3D Object Representation/Recognition/Retrieval
News
- (2025/02）One paper with title “FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation” is accepted by CVPR 2025. Congratulations to Zhuguanyu Wu and Shihe Wang！
- (2025/02）One paper with title “APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers” is accepted by CVPR 2025. Congratulations to Zhuguanyu Wu！
- (2024/12）One paper with title “TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models” is accepted by AAAI 2025. Congratulations to Haocheng Huang！
- (2024/12）One paper with title “Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models” is accepted by AAAI 2025. Congratulations to Zimeng Wu！
- (2024/09）One paper with title “Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner” is accepted by NeurIPS 2024. Congratulations to Hanwen Zhong！
- (2024/07）One paper with title “AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer” is accepted by ECCV 2024. Congratulations to Zhuguanyu Wu！
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Cross-modal Contrastive Masked AutoEncoder for Compressed Video Pre-training
B. Li, J. Chen, G. Li, D. Zhang, X. Bao and D. Huang
IEEE Transactions on Image Processing (IEEE TIP). Under Review (Minor Revision) -
Sharing Task-relevant Information in Visual Prompt Tuning by Cross-layer Dynamic Connection
N. Zhou, J. Chen and D. Huang
IEEE Transactions on Image Processing (IEEE TIP). Under Review (Major Revision) -
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
Z. Wu, J. Zhang, J. Chen✉, J. Guo, D. Huang and Y. Wang✉
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Paper][Supplementary Material][Code] -
FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
Z. Wu, S. Wang, J. Zhang, J. Chen✉ and Y. Wang✉
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Paper][Supplementary Material][Code] -
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
H. Huang*, J. Chen*, J. Guo, R. Zhan and Y. Wang
AAAI Conference on Artificial Intelligence (AAAI), 2025. [Paper][Supplementary Material][Code] -
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models
Z. Wu, J. Chen✉ and Y. Wang
AAAI Conference on Artificial Intelligence (AAAI), 2025. [Paper][Code] -
3D2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
Z. Tang, H. Yang, H. Zhang, J. Chen and D. Huang
AAAI Conference on Artificial Intelligence (AAAI), 2025. [Paper][Code] -
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
H. Zhong, J. Chen✉, Y. Zhang, D. Huang and Y. Wang
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [Paper][Code] -
Domain Adaptive Object Detection for UAV-based Images by Robust Representation Learning and Multiple Pseudo-label Aggregation
K. Wu, J. Chen✉ and M. Wang✉
ACM International Conference on Multimedia (MM) Workshops, 2024. [Paper][Code] -
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
Z. Wu, J. Chen✉, H. Zhong, D. Huang and Y. Wang
European Conference on Computer Vision (ECCV), 2024. [Paper][Code] -
Compressed Video Prompt Tuning
B. Li, J. Chen, X. Bao and D. Huang
Annual Conference on Neural Information Processing Systems (NeurIPS), 2023. [Paper] -
SAMP: Sub-task Aware Model Pruning with Layer-wise Channel Balancing for Person Search
Z. Wu, J. Chen✉ and Y. Wang
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. [Paper] -
MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection
L. Jiang, J. Chen✉, D. Huang and Y. Wang
ACM International Conference on Multimedia (MM), 2023. [Paper] -
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
N. Zhou, J. Chen and D. Huang
IEEE International Conference on Computer Vision (ICCV), 2023. [Paper] -
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
B. Du, Y. Huang, J. Chen and D. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Paper] -
OcTr: Octree-based Transformer for 3D Object Detection
C. Zhou, Y. Zhang, J. Chen and D. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Paper] Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
B. Li, J. Chen✉, D. Zhang, X. Bao and D. Huang
International Joint Conference on Artificial Intelligence (IJCAI), 2022. [Paper]CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection
Y. Zhang, J. Chen and D. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper]Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
J. Wu, J. Chen✉, M. He, Y. Wang, B. Li, B. Ma, W. Gan, W. Wu, Y. Wang and D. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper]Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint
J. Wu, J. Chen and D. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper]UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery
Y. Huang, J. Chen and D. Huang
AAAI Conference on Artificial Intelligencen (AAAI), 2022. [Paper]PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation
G. Zhou, H. Wang, J. Chen and D. Huang
IEEE International Conference on Computer Vision (ICCV), 2021. [Paper]Auto-Encoding Twin-Bottleneck Hashing
Y. Shen*, J. Qin*, J. Chen*, M. Yu, L. Liu, F. Zhu, F. Shen and L. Shao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Paper]Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Y. Yan, J. Qin, J. Chen, L. Liu, F. Zhu, Y. Tai and L. Shao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Paper]Deep Local Binary Coding for Person Re- Identification by Delving into the Details
J. Chen, J. Qin, Y. Yan, L. Huang, L. Liu, F. Zhu and L. Shao
ACM International Conference on Multimedia (MM), 2020. [Paper]Learning Attentive and Hierarchical Representations for 3D Shape Recognition
J. Chen, J. Qin, Y. Shen, L. Liu, F. Zhu and L. Shao
European Conference on Computer Vision (ECCV), 2020. [Paper]Web-Supervised Network for Fine- Grained Visual Classification
C. Zhang, Y. Yao, J. Zhang, J. Chen, P. Huang, J. Zhang and Z. Tango
IEEE International Conference on Multimedia and Expo (ICME), 2020. [Paper]Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing
J. Chen, J. Qin, L. Liu, F. Zhu, F. Shen, J. Xie and L. Shao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Paper]Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval
J.Chen and Y. Fang
European Conference on Computer Vision (ECCV), 2018. [Paper]Fast Person Re-identification via Cross-Camera Semantic Binary Transformation
J. Chen, Y. Wang, J. Qin, L. Liu and L. Shao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [Paper]CMAE-3D: Contrastive Masked AutoEncoders for Self-Supervised 3D Object Detection
Y. Zhang, J. Chen and D. Huang
International Journal of Computer Vision (IJCV), 2024. Accepted.[Paper]OTAMatch: Optimal Transport Assignment with PseudoNCE for Semi-supervised Learning
J. Zhang, J. Liu, D. Li, Q. Huang, J. Chen and D. Huang
IEEE Transactions on Image Processing (TIP), vol. 33, pp. 4231-4244, 2024. [Paper]Learning Multi-Attention Context Graph for Group-Based Re-Identification
Y. Yan, J. Qin, B. Ni, J. Chen, L. Liu, F. Zhu, W. Zheng, X. Yang and L. Shao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp: 7001-7018, 2023. [Paper]Video Person Re-identification Using Attribute-enhanced Features
T. Chai, Z. Chen, A. Li, J. Chen, X. Mei, Y. Wang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 11, pp: 7951-7966, 2022. [Paper]SHREC’22 Track: Sketch-Based 3D Shape Retrieval in the Wild
J. Qin, S. Yuan, J. Chen, et al.
Computers & Graphics (CAG), vol. 107, pp: 104-115, 2022. [Paper]Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning
R. Gao, X. Hou, J. Qin, J. Chen, L. Liu, F. Zhu, Z. Zhang and L. Shao.
IEEE Transactions on Image Processing (TIP), vol. 29, pp: 3665-3680, 2020. [Paper]GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints
Z. Zhang, J. Chen✉, Q. Wu and L. Shao.
IEEE Transactions on Cybernetics (TCYB), vol. 48, no. 10, pp: 2935-2947, 2018. [Paper]Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities
J. Chen, Z. Zhang and Y. Wang.
IEEE Transactions on Image Processing (TIP), vol. 24, no. 12, pp: 4741-4755, 2015. [Paper]- Zimeng Wu (Co-advise with Prof. Yunhong Wang) | Research topic: Efficient Training and Inference of Large Multi-modal Foundation model | (AAAI'25)
- Wenhao Li | Research topic: UAV-based Intelligent Perception
- Yutong Zhang | Research topic: Efficient Representatioin Learning and Fine-tuning for Fine-grained Recognition/Retrieval
- Chenyu Zhou (Co-advise with Prof. Yunhong Wang) | Research topic: UAV-based Intelligent Perception
- Shihe Wang (Co-advise with Prof. Yunhong Wang) | Research topic: Efficient Training and Inference for ViT and AIGC | (CVPR'25)
- Honglin Chen, Chaozhe Jin, Zeyuan Ma, Ke Wu and Kaiqi Zheng
- Jiayi Zhang | Research topic: Quantization for Large Tranformers-based Models
- Yujun Zhang | Research topic: Object Detection on Drone Images based on Foundamental Models
- Chenyu Zhang | Research topic: Domain Adaptive Object Detection on Drone Images
- Zhenghao Chen (Parameter-Efficient Fine-Tuning); Ke Wu (UAV-based Intelligent Perception); Ruiyi Zhan (Quantization for Deep Diffussion Models); Mingfang Zhang (BEV-based 3D Ojbect Detection).
- Hanwen Zhong (NeurIPS'24, 北航优秀毕业生, 北航计算机学院优秀学位论文) | Tencent (腾讯)
- Haocheng Huang (AAAI'25) | Yuanfudao (猿辅导)
- Zhuguangyu Wu (Co-advise with Prof. Yunhong Wang) (2 CVPR'25、ECCV'24, 北航优秀毕业生, 北航优秀学位论文) | Sense Time (商汤科技)
- Bing Li (Co-advise with Prof. Di Huang) | Postdoc at A*STAR
- Liangwei Jiang (Co-advise with Prof. Yunhong Wang) (ACM MM'23, 北航计算机学院优秀学位论文) | Ant Technology Group (蚂蚁金服)
- Bowei Du (Co-advise with Prof. Di Huang) (CVPR'23, 北航优秀学位论文) | Alibaba Group (阿里巴巴集团)
- Zimeng Wu (Undergraduate) | Ph.D Candidate in BUAA
- Jiaxi Wu (Co-advise with Prof. Di Huang) | Horizon Robotics (地平线机器人)
- Yecheng Huang (Co-advise with Prof. Di Huang)
- Guangyuan Zhou (Co-advise with Prof. Di Huang)
- We are looking for students, who are self-motivated, and have solid foundation in mathematics and programming. Please feel free to contact us at jiaxinchen@buaa.edu.cn.
- TPC Member of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, 2025.
- TPC Member of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada, 2025.
- TPC Member of the 43rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, 2025.
- TPC Member of the 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 2025.
- TPC Member of the 30th International Conference on Learning Representations (ICLR), Singapore, 2025.
- TPC Member of the 27th IEEE Internatinal Joint Conference on Biometrics (IJCB), New York, USA, 2024.
- TPC Member of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024.
- TPC Member of the 27th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2024.
- TPC Member of the 17th Asian Conference on Computer Vision (ACCV), Hanoi, Vietnam, 2024.
- TPC Member of the 42nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
- TPC Member of the 18th European Conference on Computer Vision (ECCV), MiCo Milano, Italy, 2024.
- TPC Member of the 27th International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024.
- Efficient Visual Object Search Based on Unmanned Aerial Vehicles. Supported by BNSF (2024-2026), PI.
- Research on Efficient UAV Based Autonomous Object Recognition in Complex Environment. Supported by ASFC (2023-2025), PI.
- Fine-grained Visual Perception. Supported by Research Program of State Key Laboratory of Virtual Reality Technology and Systems (2023-2024), PI.
- Efficient Compact Representation Learning for Accurate Visual Search in Open Environments. Supported by NSFC (2023-2025), PI.
- Machine Learning, Undergraduate course, Spring
- Introduction to Artificial Intelligence, Undergraduate course, Spring
- Mini Course on Scientific Research (Intelligent Visual Object Search Based on Deep Learning), Undergraduate course, Spring
- Writing and Presenting for Computer Science for PhD Students, Graduate course, Spring
- Introduction to Machine Learning, Undergraduate course, Fall
- Machine Learning, Graduate course, Fall
- Introduction to Artificial Intelligence, Undergraduate course, Spring
- Mini Course on Scientific Research (Intelligent Visual Object Search Based on Deep Learning), Undergraduate course, Spring and Fall
- Writing and Presenting for Computer Science, Graduate course, Spring and Fall
- Introduction to Artificial Intelligence, Undergraduate course, Spring
- Mini Course on Scientific Research, Undergraduate course, Spring and Fall
- Introduction to Machine Learning, Undergraduate course, Fall
- Writing and Presenting for Computer Science, Graduate course, Spring and Fall
- Machine Learning, Graduate course, Fall
- Introduction to Machine Learning, Undergraduate course
- Mini Course on Scientific Research, Undergraduate course, Spring and Fall
- Machine Learning, Graduate course, Fall
- Mini Course on Scientific Research, Undergraduate course, Fall
- Machine Learning, Graduate course, Fall