Yang Zheng
24 papers · 2020–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (10)
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Conference Polyglot
(10)
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Academic Marathon
(5)
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Keyword Champion
(2)
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(6)
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(24)
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(6)
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Keyword Collector
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Conferences
L4DC (7)
AAAI (4)
ICCV (3)
CVPR (2)
ECCV (2)
NIPS (2)
AISTATS (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
neural network verification
(3)
3d reconstruction
(3)
sample complexity
(2)
linear quadratic gaussian control
(2)
multimodal learning
(2)
semidefinite programming
(2)
point tracking
(2)
linear convergence
(2)
image generation
(2)
semidefinite relaxation
(2)
quadratic growth
(2)
multi-modal learning
(1)
domain generalization
(1)
neural architecture search
(1)
certified robustness
(1)
attention mechanism
(1)
receding horizon control
(1)
policy gradient
(1)
system identification
(1)
dense correspondence
(1)
Papers
AllTracker: Efficient Dense Point Tracking at High Resolution
ICCV 2025
AIpparel: A Multimodal Foundation Model for Digital Garments
CVPR 2025
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling
CVPR 2025
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
ICML 2025
Extended Convex Lifting for Policy Optimization of Optimal and Robust Control
L4DC 2025
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization
AAAI 2025
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods
L4DC 2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
ICLR 2024
Enhancing Distributional Stability among Sub-populations
AISTATS 2024
Convex approximations for a bi-level formulation of data-enabled predictive control
L4DC 2024
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations
ECCV 2024
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
NIPS 2024
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
ICCV 2023
PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search
AAAI 2023
Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification
AAAI 2023
Inferring Hybrid Neural Fluid Fields from Videos
NIPS 2023
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
L4DC 2023
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations
AAAI 2022
GIMO: Gaze-Informed Human Motion Prediction in Context
ECCV 2022
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
L4DC 2021
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras
ICCV 2021
Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts
IJCAI 2021
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
L4DC 2021
Learning the Globally Optimal Distributed LQ Regulator
L4DC 2020