LEI BAI
67 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
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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)
Top co-authors
Research topics
Keywords
large language model
(10)
weather forecasting
(5)
multi-agent system
(4)
diffusion model
(4)
person re-identification
(3)
multi-modal learning
(3)
image classification
(3)
graph neural network
(3)
vision transformer
(3)
image generation
(3)
deep learning
(2)
reinforcement learning
(2)
representation learning
(2)
neural architecture search
(2)
motion generation
(2)
knowledge distillation
(2)
multimodal learning
(2)
pose estimation
(2)
contrastive learning
(2)
multi-task learning
(2)
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 HistoryβModel 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