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Zhong Li

23 papers · 2018–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (10) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (104)

Venues

CVPR (6) ECCV (3) ICLR (3) AAAI (2) ICCV (2) ICML (2) NeurIPS (2) ACL (1) JMLR (1) WACV (1)

Top co-authors

Yi Xu (10) Lele Chen (5) Junsong Yuan (5) Qianxiao Li (5) Zhang Chen (4) Jingyi Yu (3) Haotian Jiang (2) Jiequn Han (2) Matthijs van Leeuwen (2) Libing Zeng (2)

Research topics

Machine Learning (13) Computer Vision (9) Optimization & Theory (8) Deep Learning (7) Analysis (7) Core Methods (7) Architectures (6) Artificial Intelligence (5) Core AI (5) Generation (3) Processing (3) Learning Types (2) Models (2) Computer Science (1) Applications (1)

Keywords

approximation theory (5) recurrent neural network (4) 3d reconstruction (3) 3d vision (3) neural rendering (2) point cloud (2) memory structure (2) feature extraction (1) image restoration (1) transformer architecture (1) self-supervised learning (1) attention mechanism (1) in-context learning (1) autonomous driving (1) graph anomaly detection (1) uncertainty quantification (1) few-shot learning (1) hand pose estimation (1) human pose estimation (1) egocentric vision (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 Inverse Approximation Theory for Nonlinear Recurrent Neural Networks ICLR 2024 PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance ECCV 2024 Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis CVPR 2024 Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation CVPR 2024 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 NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions ICCV 2023 On the Generalization Properties of Diffusion Models NeurIPS 2023 OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects NeurIPS 2023 Robust 3D Shape Classification via Non-Local Graph Attention Network CVPR 2023 Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting ICCV 2023 Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks JMLR 2022 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 Theory of Convolutional Architectures for Time Series Modelling ICML 2021 On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis ICLR 2021 Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions ICML 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