Jingya Wang 汪婧雅
Assistant Professor
School of Information Science and TechnologyShanghaiTech University
393 Middle Huaxia Rd
Shanghai 201210, China
Room 1c-303b, SIST Building
E-mail: wangjingya@shanghaitech.edu.cn
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), supervised by Prof. Shaogang Gong. After that, I was a Postdoc Researcher at the University of Sydney (USYD), working with Prof. Dacheng Tao. Now, 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 3D Vision and Embodied AI .
News
Selected Publications
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AffordDP : Generalizable Diffusion Policy with Transferable Affordance
Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang*
arXiv, 2024. [PDF] [Project] -
SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model
Chunlin Yu, Hanqing Wang, Ye Shi, Haoyang Luo, Sibei Yang, Jingyi Yu, Jingya Wang*
arXiv, 2024. [PDF] -
Thor: Text to human-object interaction diffusion via relation intervention
Qianyang Wu, Ye Shi, Xiaoshui Huang, Jingyi Yu, Lan Xu, Jingya Wang*
arXiv, 2024. [PDF] [Project] -
Gaze-guided hand-object interaction synthesis: Benchmark and method
Jie Tian, Ran Ji, Lingxiao Yang, Yuexin Ma, Lan Xu, Jingyi Yu, Ye Shi, Jingya Wang*
arXiv, 2024. [PDF] [Project] -
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
Youjia Wang, Yiwen Wu, Hengan Zhou, Hongyang Lin, Xingyue Peng, Jingyan Zhang, Yingsheng Zhu, Yingwenqi Jiang, Yatu Zhang, Lan Xu, Jingya Wang, Jingyi Yu
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. [PDF] -
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi*
Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [Project] [PDF] [Code] -
Monocular Human-Object Reconstruction in the Wild
Chaofan Huo, Ye Shi, Jingya Wang*
ACM Multimedia (ACM MM), 2024. [Project] [PDF] [Code] -
Gait Recognition in Large-scale Free Environment via Single LiDAR
Xiao Han, Yiming Ren, Peishan Cong, Yujing Sun, Jingya Wang, Lan Xu, Yuexin Ma*.
ACM Multimedia (ACM MM, Best Paper Award Nomination), 2024. [PDF] -
LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding
Yuyang Chen#, Yiwen Wu#, Jingya Wang, Tao Wu, Xuming He, Jingyi Yu*, Hao Geng*
ACM/IEEE Design Automation Conference (DAC), 2024. (CCF-A, Best Paper Award Nomination) -
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi*
Forty-first International Conference on Machine Learning (ICML), 2024. [PDF] [Code] -
HOI-M3:Capture Multiple Humans and Objects Interaction within Contextual Environment
Juze Zhang, Jingyan Zhang, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang*
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR Highlight), 2024. [PDF] [Project] -
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals
Jiangnan Tang, Jingya Wang*, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi*
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [PDF] [Video] -
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li, Wei Huang, Jingya Wang, Ye Shi
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [PDF] -
I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions
Chengfeng Zhao, Juze Zhang, Jiashen Du, Ziwei Shan, Junye Wang, Jingyi Yu, Jingya Wang, Lan Xu
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [PDF] [Project] -
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Bin Li, Ye Shi, Qian Yu, Jingya Wang*
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. [PDF] -
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang*
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. [PDF] [Project] -
Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu, Ye Shi, Jingya Wang*
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. [PDF] [Project] -
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. [PDF] [Project] -
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. [PDF] [Code] -
Two 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. [PDF] -
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] -
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] [VALSE] -
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] -
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] -
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] -
CS172 - Computer Vision I
Postgraduate Course at ShanghaiTech for the following courses:
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CS272 - Computer Vision II
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CS372 - Advanced Topic in Coputer Vision
- Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
- European Conference on Computer Vision (ECCV), 2024
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Senior Program Committee Member:
- Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) Journal Reviewer:
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- International Journal of Computer Vision (IJCV)
- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- Pattern Recognition
- IEEE Transactions on Cybernetics Conference Reviewer:
- Conference on Computer Vision and Pattern Recognition (CVPR)
- International Conference on Computer Vision (ICCV)
- European Conference on Computer Vision (ECCV)
- Conference on Neural Information Processing Systems (NeurIPS)
- International Conference on Machine Learning (ICML)
- ACM Multimedia (ACM MM)
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