Yingying Li
22 papers · 2019–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (6)
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Hot Topic Early Bird
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Cross-Pollinator
(10)
πΊοΈ
Taxonomy Completionist
(45)
π€
Dynamic Duo
(10)
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Grand Slam
π₯
Unstoppable
(7)
π
Century Club
(22)
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Conference Pioneer
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(91)
Conferences
CVPR (4)
NIPS (4)
ECCV (3)
AAAI (2)
ICCV (2)
ICLR (2)
L4DC (2)
ICML (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
diffusion transformer
(3)
class-incremental learning
(2)
knowledge distillation
(2)
online learning
(2)
video generation
(2)
markov decision process
(2)
online optimal control
(2)
nonlinear system identification
(1)
class imbalance
(1)
dynamic regret
(1)
human-object interaction
(1)
hyperparameter optimization
(1)
autonomous driving
(1)
gradient descent
(1)
system identification
(1)
multimodal learning
(1)
online optimization
(1)
receding horizon control
(1)
weakly-supervised learning
(1)
policy optimization
(1)
Papers
GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation
ICCV 2025
Robust System Identification: Finite-sample Guarantees and Connection to Regularization
ICLR 2025
AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion Transformers
CVPR 2025
Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion Model
CVPR 2025
TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer
CVPR 2025
MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
ICLR 2025
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
ICML 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees
NIPS 2024
Interactive 3D Object Detection with Prompts
ECCV 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos
WACV 2024
Online Hyperparameter Optimization for Class-Incremental Learning
AAAI 2023
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
ICCV 2023
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
NIPS 2023
Online switching control with stability and regret guarantees
L4DC 2023
Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection
ECCV 2022
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
CVPR 2022
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
IJCAI 2021
Online Optimal Control with Affine Constraints
AAAI 2021
Monocular 3D Object Detection via Feature Domain Adaptation
ECCV 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
L4DC 2020
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
NIPS 2020
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
NIPS 2019