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LEI BAI

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

Achievements

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+12 more ↓ 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (7)
🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (81) πŸ† Grand Slam πŸ† Keyword Champion (5) 🌱 Topic Pioneer 🀝 Dynamic Duo (33) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7) ⚑ Prolific Year (10) πŸ’Ž Century Club (56) πŸ—ƒοΈ Keyword Collector (218)

Conferences

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

Research topics

Papers

SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer AAAI 2026 MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing ACL 2026 MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings ACL 2026 Nature-Inspired Population-Based Evolution of Large Language Models ACL 2026 R3: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning ACL 2026 Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning ACL 2026 A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions ACL 2026 FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow ACL 2026 A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement ACL 2026 MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs ACL 2026 The Avengers: A Routing Recipe for Collective Intelligence in Language Models AAAI 2026 ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems CVPR 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 UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines 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 Chimera: Improving Generalist Model with Domain-Specific Experts 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 RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints ICCV 2025 InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis ICCV 2025 TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting ICLR 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning ICLR 2025 VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology ICLR 2025 PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling ICLR 2025 WorldSimBench: Towards Video Generation Models as World Simulators ICML 2025 Multi-agent Architecture Search via Agentic Supernet ICML 2025 Towards a Self-contained Data-driven Global Weather Forecasting Framework ICML 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators AAAI 2024 PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines ECCV 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NIPS 2024 On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection NIPS 2024 Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NIPS 2024 Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation AAAI 2024 CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ICML 2024 FiT: Flexible Vision Transformer for Diffusion Model ICML 2024 Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning AISTATS 2024 Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation WACV 2024 Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions CVPR 2024 HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining CVPR 2023 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NIPS 2023 Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NIPS 2023 UniHCP: A Unified Model for Human-Centric Perceptions CVPR 2023 FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023 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 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 Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches ECCV 2022 Relative Contrastive Loss for Unsupervised Representation Learning ECCV 2022 Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains ECCV 2022 SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation AAAI 2022 DR.VIC: Decomposition and Reasoning for Video Individual Counting CVPR 2022 Revisiting the Transferability of Supervised Pretraining: An MLP Perspective CVPR 2022 Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning NIPS 2022 Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking ECCV 2022 Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective ECCV 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