Jingya Wang

Assistant Professor

School of Information Science and Technology
ShanghaiTech University
393 Middle Huaxia Rd
Shanghai 201210, China
Room 1c-303b, SIST Building
E-mail: wangjingya@shanghaitech.edu.cn

[Google Scholar]

I am a tenure-track assistant professor in the School of Information Science and Technology at ShanghaiTech University.

I received the PhD degree from the Queen Mary University of London (QMUL) in 2019, supervised by Prof. Shaogang Gong. After that, I was a Postdoc Researcher at the University of Sydney (USYD), working with Prof. Dacheng Tao. In Nov 2020, I joined ShanghaiTech as a tenure-track assistant professor. My research interests include computer vision, machine learning, and artificial intelligence. Particularly, my current research focuses on human centered visual perception, inference and cognition.

One Postdoc position available on computer vision, feel free to contact me.

Prospective Students: I am always looking for outstanding and self-motivated students to work together on human-object interaction，tracking and re-identification, few-shot learning and various machine learning topics. Please email me with your CV and transcripts if you are interested. [Graduate_Admission].

I am also seeking Research Assistants (undergraduate/graduate level), and Visiting Interns/Students, feel free to contact me.

[09/2023] Five paper accepted to NeurIPS 2023.

[07/2023] One paper accepted to ICCV 2023.

[06/2022] I will serve as an Area Chair for CVPR 2024.

[06/2022] I will serve as an Area Chair for WACV 2024, PRCV 2023.

[03/2023] One paper accepted to TNNLS. One paper accepted to IJCAI 2023.

[03/2023] One paper accepted to CVPR 2023.

[01/2023] One paper accepted to ICLR 2023.

[11/2022] Four paper accepted to AAAI 2023 as Oral.

[09/2022] I will serve as an Area Chair for CVPR 2023.

[09/2022] One paper accepted to NeurIPS 2022 as Spotlight (Top 5%).

[07/2022] One accepted to ACM MM 2022.

[07/2022] I will serve as an Area Chair for WACV 2023.

Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu, Ye Shi, Jingya Wang*
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
Wanxing Chang, Ye Shi, Jingya Wang*
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

	Fed-CO : Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
	FTwo Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation Shutong Ding#, Tianyu Cui#, Jingya Wang, Ye Shi* Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
	Reduced Policy Optimization for Continuous Control with Hard Constraints Zhongyi Shutong Ding, Jingya Wang, Yali Du, Ye Shi* Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Knowledge-Aware Federated Active Learning with Non-IID Data
Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao
In Proc. IEEE International Conference on Computer Vision (ICCV), 2023. [PDF]

	StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang* The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023. [PDF] [Project]
	FedTP: Federated Learning by Transformer Personalization Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [PDF] [Code]
	NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions Juze Zhang, Haimin Luo, Hongdi Yang, Xinru Xu, Qianyang Wu, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF] [Project] [Video]
	Alternating Differentiation for Optimization Layers Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H Vincent Poor, Dacheng Tao The International Conference on Learning Representations (ICLR)*, 2023. [PDF]
	Lifelong Person Re-identification via Knowledge Refreshing and Consolidation Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang* AAAI (Oral) , 2023. [PDF] [Project] [Code]
	IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang AAAI (Oral), 2023. [PDF] [Project] [Code]
	Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR Peishan Cong, Yiteng Xu, Yiming Ren, Juze Zhang, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma AAAI (Oral), 2023. [PDF]
	HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, Lan Xu AAAI (Oral), 2023. [PDF] [Video]
	Cross-Domain Multi-Style Merge for Image Captioning Yiqun Duan, Zhen Wang, Li Yi, Jingya Wang* Computer Vision and Image Understanding, Volume 228, February 2023. [PDF]
	Unified Optimal Transport Framework for Universal Domain Adaptation Wanxing Chang, Ye Shi, Hoang Duong Tuan, Jingya Wang NeurIPS (Spotlight) , 2022. [PDF] [Project] [Video] [Code] [VALSE]
	Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimations Juze Zhang, Jingya Wang, Ye Shi, Fei Gao, Lan Xu, Jingyi Yu ACM Multimedia , 2022. [PDF]
	SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator Zesong Qiu, Yuwei Li, Dongming He, Qixuan Zhang, Longwen Zhang, Yinghao Zhang, Jingya Wang, Lan Xu, Xudong Wang, Yuyao Zhang, Jingyi Yu* ACM Transactions on Graphics, 2022. [PDF] [Project]
	Position-aware image captioning with spatial relation Yiqun Duan, Zhen Wang, Jingya Wang, Yu-Kai Wang, Chin-Teng Lin Neurocomputing, 2022. [PDF] [Bibtex]
	Online Multiple Object Tracking with Cross-Task Synergy Song Guo#, Jingya Wang#, Xinchao Wang, Dacheng Tao In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF] [Slide] [Poster] [Code] [Bibtex]
	Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions Guoxing Sun; Xin Chen; Yizhang Chen; Anqi Pang; Pei Lin; Yuheng Jiang; Lan Xu; Jingyi Yu; Jingya Wang ACM Multimedia (ACM MM Oral) , 2021. [PDF] [Project]
	Adaptive Graph Convolutional Network for PolSAR Image Classification Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang IEEE Transactions on Geoscience and Remote Sensing, 2021. [PDF] [Bibtex]
	Symbiotic Adversarial Learning for Attribute-Based Person Search Yutong Cao#, Jingya Wang#, Dacheng Tao In Proc. European Conference on Computer Vision (ECCV), 2020 . [PDF] [Slide] [Code] [Bibtex]
	Pose-guided Visible Part Matching for Occluded Person ReID Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [PDF] [Code] [Bibtex]
	Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification Zimo Liu#, Jingya Wang#, Shaogang Gong, Huchuan Lu, Dacheng Tao In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2019. [PDF] [Bibtex]
	Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),SALT LAKE CITY, US, June 2018. [PDF] [Poster] [Bibtex] [CVPR Daily] [Computer Vision News]
	Person Reidentification with Activity Predictionbased on Hierarchical Spatial-Temporal Model Li Minxian, Fumin Shen, Jingya Wang, Chao Guan, Jinhui Tang Neurocomputing, Jan 2018; 275:1200-7. [PDF] [Bibtex]
	Attribute Recognition by Joint Recurrent Learning of Context and Correlation Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li In Proc. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. [PDF] [Poster] [Bibtex]
	Discovering Visual Concept Structure with Sparse and Incomplete Tags Jingya Wang, Xiatian Zhu, Shaogang Gong Artificial Intelligence (AI), Vol 250, Pages 16–36, September 2017. [PDF] [DOI] [Bibtex]
	Video Semantic Clustering with Sparse and Incomplete Tags Jingya Wang, Xiatian Zhu, Shaogang Gong The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016. [PDF] [Poster] [Bibtex]