LEI BAI

58 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (81) 🏆 Grand Slam 🏆 Keyword Champion (5) 🌱 Topic Pioneer 🤝 Dynamic Duo (33) 📈 Trend Setter 🔥 Unstoppable (7) ⚡ Prolific Year (10) 💎 Century Club (56) 🗃️ Keyword Collector (218)

Conferences

CVPR (11) AAAI (8) ICCV (8) NIPS (8) ECCV (6) ICLR (6) ICML (5) ACL (2) AISTATS (1) EMNLP (1) IJCAI (1) WACV (1)

Top co-authors

Wanli Ouyang (33) SHIXIANG TANG (11) Rui Zhao (10) Feng Zhu (9) Tao Han (7) Yizhou Wang (7) Hao Chen (6) Xihui Liu (6) Zhiyong Wang (5) Zeyu Lu (5)

Keywords

weather forecasting (5) large language model (5) diffusion model (4) vision transformer (3) graph neural network (3) image classification (3) multi-agent system (3) image generation (3) multi-modal learning (3) person re-identification (3) transfer learning (2) deep learning (2) representation learning (2) domain adaptation (2) motion generation (2) contrastive learning (2) knowledge distillation (2) multi-task learning (2) multimodal learning (2) pose estimation (2)

Papers

The Avengers: A Routing Recipe for Collective Intelligence in Language Models AAAI 2026

SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer AAAI 2026

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling ICLR 2025

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines CVPR 2025

ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems CVPR 2025

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution CVPR 2025

IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior CVPR 2025

ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks EMNLP 2025

VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology ICLR 2025

WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning ICLR 2025

Multi-agent Architecture Search via Agentic Supernet ICML 2025

WorldSimBench: Towards Video Generation Models as World Simulators ICML 2025

VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints AAAI 2025

SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing ACL 2025

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback ACL 2025

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting ICLR 2025

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis ICCV 2025

RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints ICCV 2025

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025

VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior ICCV 2025

Chimera: Improving Generalist Model with Domain-Specific Experts ICCV 2025

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NIPS 2024

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NIPS 2024

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection NIPS 2024

MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators AAAI 2024

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024

Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation AAAI 2024

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning AISTATS 2024

Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions CVPR 2024

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines ECCV 2024

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ICML 2024

FiT: Flexible Vision Transformer for Diffusion Model ICML 2024

Towards a Self-contained Data-driven Global Weather Forecasting Framework ICML 2024

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation WACV 2024

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark NIPS 2023

STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning ICCV 2023

HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining CVPR 2023

FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023

UniHCP: A Unified Model for Human-Centric Perceptions CVPR 2023

GReTo: Remedying dynamic graph topology-task discordance via target homophily ICLR 2023

Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization ICLR 2023

Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase AAAI 2023

Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NIPS 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NIPS 2023

Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective ECCV 2022

Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains ECCV 2022

Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking ECCV 2022

Revisiting the Transferability of Supervised Pretraining: An MLP Perspective CVPR 2022

DR.VIC: Decomposition and Reasoning for Video Individual Counting CVPR 2022

Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches ECCV 2022

Relative Contrastive Loss for Unsupervised Representation Learning ECCV 2022

SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation AAAI 2022

Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning NIPS 2022

Mutual CRF-GNN for Few-Shot Learning CVPR 2021

Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images ICCV 2021

GLiT: Neural Architecture Search for Global and Local Image Transformer ICCV 2021

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NIPS 2020

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting IJCAI 2019