Lei Bai

Orcid: 0000-0003-3378-7201

Affiliations:
  • Shanghai AI Laboratory, China
  • University of New South Wales, Sydney, NSW, Australia (PhD 2021)


According to our database1, Lei Bai authored at least 133 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., October, 2024

A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control.
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

Towards Frame Rate Agnostic Multi-object Tracking.
Int. J. Comput. Vis., May, 2024

Self-Supervised Feature Learning for Appliance Recognition in Nonintrusive Load Monitoring.
IEEE Trans. Ind. Informatics, February, 2024

Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction.
IEEE Trans. Veh. Technol., January, 2024

Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities.
IEEE Trans. Multim., 2024

Similarity- and Quality-Guided Relation Learning for Joint Detection and Tracking.
IEEE Trans. Multim., 2024

RS-Mamba for Large Remote Sensing Image Dense Prediction.
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

Geometry-enhanced pretraining on interatomic potentials.
Nat. Mac. Intell., 2024

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection.
CoRR, 2024

WorldSimBench: Towards Video Generation Models as World Simulators.
CoRR, 2024

SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting.
CoRR, 2024

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model.
CoRR, 2024

IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior.
CoRR, 2024

Diffusion Models Need Visual Priors for Image Generation.
CoRR, 2024

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling.
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

DABench: A Benchmark Dataset for Data-Driven Weather Data Assimilation.
CoRR, 2024

Fast Information Streaming Handler (FisH): A Unified Seismic Neural Network for Single Station Real-Time Earthquake Early Warning.
CoRR, 2024

VegeDiff: Latent Diffusion Model for Geospatial Vegetation Forecasting.
CoRR, 2024

WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark.
CoRR, 2024

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation.
CoRR, 2024

Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification.
CoRR, 2024

ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions.
CoRR, 2024

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling.
CoRR, 2024

VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation.
CoRR, 2024

CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer.
CoRR, 2024

A Survey on Long Video Generation: Challenges, Methods, and Prospects.
CoRR, 2024

Global Tropical Cyclone Intensity Forecasting with Multi-modal Multi-scale Causal Autoregressive Model.
CoRR, 2024

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction.
CoRR, 2024

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast.
CoRR, 2024

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting.
CoRR, 2024

Is Artificial Intelligence Providing the Second Revolution for Weather Forecasting?
CoRR, 2024

Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method.
CoRR, 2024

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting.
CoRR, 2024

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.
Artif. Intell. Medicine, 2024

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control.
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

G-Refine: A General Quality Refiner for Text-to-Image Generation.
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

Towards a Self-contained Data-driven Global Weather Forecasting Framework.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FiT: Flexible Vision Transformer for Diffusion Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

PredBench: Benchmarking Spatio-Temporal Prediction Across Diverse Disciplines.
Proceedings of the Computer Vision - ECCV 2024, 2024

Instruct-ReID: A Multi-Purpose Person Re-Identification Task with Instructions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.
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
Towards Trajectory Forecasting From Detection.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

SiamSampler: Video-Guided Sampling for Siamese Visual Tracking.
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

Hulk: A Universal Knowledge Translator for Human-Centric Tasks.
CoRR, 2023

Understanding Masked Autoencoders From a Local Contrastive Perspective.
CoRR, 2023

Enhancing Mapless Trajectory Prediction through Knowledge Distillation.
CoRR, 2023

Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions.
CoRR, 2023

Stimulative Training++: Go Beyond The Performance Limits of Residual Networks.
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

Saliency Guided Contrastive Learning on Scene Images.
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

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.
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

GReTo: Remedying dynamic graph topology-task discordance via target homophily.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization.
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

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023

A Knowledge-Driven Memory System for Traffic Flow Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023

Long-Tailed Time Series Classification via Feature Space Rebalancing.
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

UniHCP: A Unified Model for Human-Centric Perceptions.
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

Dynamic Causal Graph Convolutional Network for Traffic Prediction.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Graph Neural Network for Robust Public Transit Demand Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

Action Recognition With Motion Diversification and Dynamic Selection.
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

An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection.
CoRR, 2022

Unsupervised Knowledge Adaptation for Passenger Demand Forecasting.
CoRR, 2022

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning.
CoRR, 2022

Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding.
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

Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion.
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

Relative Contrastive Loss for Unsupervised Representation Learning.
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

Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches.
Proceedings of the Computer Vision - ECCV 2022, 2022

Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking.
Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting the Transferability of Supervised Pretraining: an MLP Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DR.VIC: Decomposition and Reasoning for Video Individual Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Jointly Contrastive Representation Learning on Road Network and Trajectory.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Deep Spatial-Temporal Learning in the Correlated Time Series.
PhD thesis, 2021

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction.
Future Gener. Comput. Syst., 2021

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing.
CoRR, 2021

Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GLiT: Neural Architecture Search for Global and Local Image Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mutual CRF-GNN for Few-Shot Learning.
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

Adversarial Multi-view Networks for Activity Recognition.
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

Mobility Irregularity Detection with Smart Transit Card Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Prototype Similarity Learning for Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectrum-Guided Adversarial Disparity Learning.
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

Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network.
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

Passenger Demographic Attributes Prediction for Human-Centered Public Transport.
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
Automatic Device Classification from Network Traffic Streams of Internet of Things.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018


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