I work at Suzhou Institute for Advanced Research, USTC as an Associate Researcher and master supervisor in Suzhou.
My research interests include Embodied AI, Physics Simulation for Robotics, Physics-informed Neural Dynamics. If you are seeking any form of academic cooperation, please feel free to email me at cczly@ustc.edu.cn. There are openings for PhD/master’s students and interns.
I have published in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, and IEEE Transactions on Instrumentation and Measurement, and in conferences such as ICML, CVPR, ICCV, AAAI, and ACM MM.
News
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2026.05: A conference paper is accepted by ICML 2026.
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2026.02: A journal paper is accepted by TNNLS.
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2025.11: A conference paper is accepted by AAAI 2026.
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2025.05: Our paper is selected as Oral by ICME 2025.
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2025.05: Awarded the Huawei Spark Award for technical contributions to challenging problems in artificial intelligence.
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2025.05: A conference paper is accepted by ICML 2025.
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2025.04: A conference paper completed by undergraduate interns is accepted by IEEE IJCNN 2025.
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2025.03: A conference paper is accepted by IEEE ICME 2025.
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2025.01: Promoted to Associate Researcher and master supervisor.
Honors and Awards
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2025: Huawei Spark Prize.
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2023: Outstanding Postdoctoral Fellow in Jiangsu Province.
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2022: Outstanding Graduate Student of Shanghai.
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2022: Shanghai Computer Society’s Outstanding Doctoral Dissertation Award (Nominated).
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2021: Doctoral National Scholarship.
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2020: Doctoral National Scholarship.
Research Highlights
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Embodied AI: World Action Models, Manipulation data Generation, Unified Action Representation.
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Physics Simulation for Robotics: Physic Engine, Dynamic Rendering, World Model.
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Physics-informed Neural Dynamics: Physics-informed Neural Simulator, Data-driven Inverse Problems.
Publications
(*, Corresponding Author)
- TNNLS A2Net: Affiliation Alignment Networks for Whole-Body Pose Estimation With Vision-Language Models.
- AAAI 2026 Code Physics-Informed Deformable Gaussian Splatting: Towards Unified Constitutive Laws for Time-Evolving Material Field.
- ICML 2025 Code Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models.
- IJCNN 2025 Toward Invisible Region Restoration for Single-View 3D Face Reconstruction.
- ICME 2025 Oral Code STSA: Spatial-Temporal Semantic Alignment for Visual Dubbing.
- IEEE TCSVT Toward Quantifiable Face Age Transformation under Attribute Unbias.
- ICASSP 2024 Toward Quantifiable Face age Transformation.
- IEEE TIP HeadDiff: Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation.
- IEEE TIM A multi-scale feature fusion network with cascaded supervision for cross-scene crowd counting.
- IEEE TMM Multi-Sourced Knowledge Integration for Robust Self-Supervised Facial Landmark Tracking.
- Pattern Recognit. Reasoning structural relation for occlusion-robust facial landmark localization.
- CVPR 2022 Oral Occlusion-robust face alignment using a viewpoint-invariant hierarchical network architecture.
- ICCV 2021 Improving robustness of facial landmark detection by defending against adversarial attacks.
- Pattern Recognit. Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos.
- ACM MM 2020 Spatial-temporal knowledge integration: Robust self-supervised facial landmark tracking.
- AAAI 2020 Spotlight Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos.
Acknowledgement
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