Yang Zheng

24 papers · 2020–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (39) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🏆 Keyword Champion (2) 🏆 Grand Slam 🔥 Unstoppable (6) 🚀 Conference Pioneer 💎 Century Club (24) ⚡ Prolific Year (6) 📈 Trend Setter 🗃️ Keyword Collector (107)

Conferences

L4DC (7) AAAI (4) ICCV (3) CVPR (2) ECCV (2) NIPS (2) AISTATS (1) ICLR (1) ICML (1) IJCAI (1)

Top co-authors

Gordon Wetzstein (4) Leonidas Guibas (3) Alessio Lomuscio (3) Na Li (3) Leonidas J. Guibas (3) Yebin Liu (2) Maryam Kamgarpour (2) Jianglin Lan (2) Luca Furieri (2) Guandao Yang (2)

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