Zhong Li
23 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(7)
🌈
Renaissance Researcher
(5)
🤝
Dynamic Duo
(10)
🏆
Grand Slam
🧬
Topic Evolution
⚡
Prolific Year
(7)
💎
Century Club
(21)
🗃️
Keyword Collector
(98)
🔥
Unstoppable
(6)
Conferences
CVPR (6)
ECCV (3)
ICLR (3)
AAAI (2)
ICCV (2)
ICML (2)
NIPS (2)
ACL (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
3d reconstruction
(3)
3d vision
(3)
approximation theory
(2)
point cloud
(2)
neural rendering
(2)
feature extraction
(1)
image restoration
(1)
transformer architecture
(1)
graph anomaly detection
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
attention mechanism
(1)
in-context learning
(1)
autonomous driving
(1)
few-shot learning
(1)
hand pose estimation
(1)
egocentric vision
(1)
shape correspondence
(1)
human pose estimation
(1)
human perception
(1)
Papers
Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics
AAAI 2026
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint)
AAAI 2026
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
ACL 2025
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance
ECCV 2024
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
CVPR 2024
Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
CVPR 2024
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
ICLR 2024
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
NIPS 2023
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
CVPR 2023
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
CVPR 2023
Robust 3D Shape Classification via Non-Local Graph Attention Network
CVPR 2023
On the Generalization Properties of Diffusion Models
NIPS 2023
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions
ICCV 2023
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
ICCV 2023
On the approximation properties of recurrent encoder-decoder architectures
ICLR 2022
PoP-Net: Pose Over Parts Network for Multi-Person 3D Pose Estimation From a Depth Image
WACV 2022
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks
JMLR 2022
Approximation Theory of Convolutional Architectures for Time Series Modelling
ICML 2021
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions
ICML 2021
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
ICLR 2021
3D Fluid Flow Reconstruction Using Compact Light Field PIV
ECCV 2020
Talking-head Generation with Rhythmic Head Motion
ECCV 2020
4D Human Body Correspondences From Panoramic Depth Maps
CVPR 2018