Lei Bai
Orcid: 0000-0003-3378-7201Affiliations:
- Shanghai AI Laboratory, China
- University of New South Wales, Sydney, NSW, Australia (PhD 2021)
According to our database1,
Lei Bai
authored at least 213 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on dl.acm.org
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Bibliography
2025
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025
CoRR, August, 2025
Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing.
CoRR, August, 2025
CoRR, August, 2025
CoRR, August, 2025
IEEE Trans. Pattern Anal. Mach. Intell., July, 2025
Open-Source LLMs Collaboration Beats Closed-Source LLMs: A Scalable Multi-Agent System.
CoRR, July, 2025
AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications.
CoRR, July, 2025
XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge.
CoRR, July, 2025
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model.
CoRR, July, 2025
CoRR, July, 2025
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025
Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.
CoRR, June, 2025
PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models.
CoRR, June, 2025
MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling.
CoRR, June, 2025
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning.
CoRR, June, 2025
ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion.
CoRR, June, 2025
CoRR, June, 2025
CoRR, May, 2025
OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data.
CoRR, May, 2025
LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents.
CoRR, May, 2025
CoRR, May, 2025
CoRR, May, 2025
CoRR, May, 2025
CoRR, May, 2025
CoRR, May, 2025
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants.
CoRR, May, 2025
CoRR, May, 2025
Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization.
CoRR, May, 2025
NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification.
CoRR, May, 2025
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation.
CoRR, May, 2025
CoRR, March, 2025
Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs.
CoRR, March, 2025
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform.
CoRR, March, 2025
ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks.
CoRR, March, 2025
CoRR, March, 2025
SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model.
CoRR, February, 2025
CoRR, February, 2025
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations.
CoRR, January, 2025
DispFormer: Pretrained Transformer for Flexible Dispersion Curve Inversion from Global Synthesis to Regional Applications.
CoRR, January, 2025
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback.
CoRR, January, 2025
CoRR, January, 2025
IEEE Trans. Geosci. Remote. Sens., 2025
IEEE Trans. Geosci. Remote. Sens., 2025
Topographic Informed Kolmogorov-Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields From In Situ Observations.
IEEE Trans. Geosci. Remote. Sens., 2025
Impact of VAEformer Compression Algorithm Precision Loss on the Tropospheric Delays for Microwave Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2025
Real-Time High-Resolution Global PWV Retrieval Based on Weather Forecast Foundation Models and Cross-Validation With Radiosonde, GNSS, and ERA5.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Spatiotemporal inhomogeneity of accuracy degradation in AI weather forecast foundation models: A GNSS perspective.
Int. J. Appl. Earth Obs. Geoinformation, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
Global Tropical Cyclone Intensity Forecasting with Multi-modal Multi-scale Causal Autoregressive Model.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
DiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observations.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., October, 2024
IEEE Trans. Intell. Transp. Syst., September, 2024
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation.
Int. J. Comput. Vis., July, 2024
Self-Supervised Feature Learning for Appliance Recognition in Nonintrusive Load Monitoring.
IEEE Trans. Ind. Informatics, February, 2024
IEEE Trans. Veh. Technol., January, 2024
Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities.
IEEE Trans. Multim., 2024
IEEE Trans. Multim., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
MambaDS: Near-Surface Meteorological Field Downscaling With Topography Constrained Selective State-Space Modeling.
IEEE Trans. Geosci. Remote. Sens., 2024
Deriving Accurate Surface Meteorological States at Arbitrary Locations via Observation-Guided Continuous Neural Field Modeling.
IEEE Trans. Geosci. Remote. Sens., 2024
Forecasting of Tropospheric Delay Using AI Foundation Models in Support of Microwave Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2024
DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended Precipitation Nowcasting.
CoRR, 2024
FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere.
CoRR, 2024
CoRR, 2024
CoRR, 2024
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior.
CoRR, 2024
WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer.
CoRR, 2024
GenAgent: Build Collaborative AI Systems with Automated Workflow Generation - Case Studies on ComfyUI.
CoRR, 2024
Fast Information Streaming Handler (FisH): A Unified Seismic Neural Network for Single Station Real-Time Earthquake Early Warning.
CoRR, 2024
WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark.
CoRR, 2024
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification.
CoRR, 2024
CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer.
CoRR, 2024
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method.
CoRR, 2024
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.
Artif. Intell. Medicine, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
PAPS-OVQA: Projection-Aware Patch Sampling for Omnidirectional Video Quality Assessment.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
IEEE Trans. Circuits Syst. Video Technol., April, 2023
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs.
IEEE Trans. Intell. Transp. Syst., 2023
Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks.
IEEE Trans. Dependable Secur. Comput., 2023
Towards an End-to-End Artificial Intelligence Driven Global Weather Forecasting System.
CoRR, 2023
FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation.
CoRR, 2023
ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks.
CoRR, 2023
VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network.
CoRR, 2023
CoRR, 2023
Seeing is not always believing: A Quantitative Study on Human Perception of AI-Generated Images.
CoRR, 2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead.
CoRR, 2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective.
CoRR, 2023
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search.
CoRR, 2023
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
HumanBench: Towards General Human-Centric Perception with Projector Assisted Pretraining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Image Process., 2022
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection for Autonomous Driving.
IEEE Trans. Circuits Syst. Video Technol., 2022
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding.
Knowl. Based Syst., 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Future Gener. Comput. Syst., 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness.
J. Netw. Comput. Appl., 2020
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving.
CoRR, 2020
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding.
CoRR, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018