Jian Pu

Orcid: 0000-0002-0892-1213

According to our database1, Jian Pu authored at least 100 papers between 2002 and 2024.

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Bibliography

2024
Two-Stage Approach for Targeted Knowledge Transfer in Self-Knowledge Distillation.
IEEE CAA J. Autom. Sinica, November, 2024

Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

VPL-SLAM: A Vertical Line Supported Point Line Monocular SLAM System.
IEEE Trans. Intell. Transp. Syst., August, 2024

Leveraging Smooth Deformation Augmentation for LiDAR Point Cloud Semantic Segmentation.
IEEE Trans. Intell. Veh., February, 2024

Bridging the Gap: Improving Domain Generalization in Trajectory Prediction.
IEEE Trans. Intell. Veh., January, 2024

Subclassified Loss: Rethinking Data Imbalance From Subclass Perspective for Semantic Segmentation.
IEEE Trans. Intell. Veh., January, 2024

Embrace sustainable AI: Dynamic data subset selection for image classification.
Pattern Recognit., 2024

Guided contrastive boundary learning for semantic segmentation.
Pattern Recognit., 2024

GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction.
CoRR, 2024

Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs.
CoRR, 2024

Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning.
CoRR, 2024

Towards Open-set Camera 3D Object Detection.
CoRR, 2024

OAML: Outlier Aware Metric Learning for OOD Detection Enhancement.
CoRR, 2024

EC-SLAM: Real-time Dense Neural RGB-D SLAM System with Effectively Constrained Global Bundle Adjustment.
CoRR, 2024

A Robust Diffusion Modeling Framework for Radar Camera 3D Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Multi-LIO: A Lightweight Multiple LiDAR-Inertial Odometry System.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

G-MIMO: Empowering GNNs with Diverse Sub-Networks for Graph Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning.
Frontiers Inf. Technol. Electron. Eng., November, 2023

DSiV: Data Science for Intelligent Vehicles.
IEEE Trans. Intell. Veh., April, 2023

HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer.
IEEE Trans. Intell. Veh., March, 2023

Location-Guided LiDAR-Based Panoptic Segmentation for Autonomous Driving.
IEEE Trans. Intell. Veh., February, 2023

Visualization and quantitation of unsteadiness of film cooling near stagnation line of a double-wall cooled vane leading edge.
J. Vis., February, 2023

Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving.
CoRR, 2023

PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving.
CoRR, 2023

LineMarkNet: Line Landmark Detection for Valet Parking.
CoRR, 2023

Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention.
CoRR, 2023

V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023

Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Instance-Aware Diffusion Implicit Process for Box-Based Instance Segmentation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation.
Proceedings of the Conference on Robot Learning, 2023

Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP.
CoRR, 2022

Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing.
CoRR, 2022

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily.
CoRR, 2022

Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination.
CoRR, 2022

An analysis of the correlation between diabetic retinopathy and preretinal oxygen tension using three-dimensional spoiled gradient-recalled echo sequence imaging.
BMC Medical Imaging, 2022

SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Exploring Spatiotemporal Relationships for Improving Compressed Video Quality.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Compressed Video Quality Enhancement with Motion Approximation and Blended Attention.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Memory-Based Message Passing: Decoupling the Message for Propagation from Discrimination.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A self-supervised method for treatment recommendation in sepsis.
Frontiers Inf. Technol. Electron. Eng., 2021

FRFCM clustering segmentation method for medical MR image feature diagnosis.
J. Intell. Fuzzy Syst., 2021

Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation.
Neurocomputing, 2021

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification.
CoRR, 2021

Defense against Adversarial Attacks with an Induced Class.
Proceedings of the International Joint Conference on Neural Networks, 2021

Asymmetric Loss for Positive-Unlabeled Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Aggregated context network for crowd counting.
Frontiers Inf. Technol. Electron. Eng., 2020

POD analysis of passage-layout effect on unsteady internal flow in a realistic blade serpentine coolant channel with low aspect ratios.
J. Vis., 2020

Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control.
CoRR, 2020

Knowledge Distillation with a Precise Teacher and Prediction with Abstention.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
False positive rate control for positive unlabeled learning.
Neurocomputing, 2019

Curve Text Detection with Local Segmentation Network and Curve Connection.
CoRR, 2019

The Kelly Growth Optimal Portfolio with Ensemble Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification.
IEEE Signal Process. Lett., 2018

Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days.
Remote. Sens., 2018

Crowd Counting with Density Adaption Networks.
CoRR, 2018

Satellite Image Scene Classification via ConvNet With Context Aggregation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Single-image Super-resolution via De-biased Sparse Representation.
Proceedings of the Eighth International Conference on Image Processing Theory, 2018

Tau-FPL: Tolerance-Constrained Learning in Linear Time.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Indoor Scene Classification by Incorporating Predicted Depth Descriptor.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Glioma grading based on 3D multimodal convolutional neural network and privileged learning.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Flexible multi-task learning with latent task grouping.
Neurocomputing, 2016

Multiple task learning with flexible structure regularization.
Neurocomputing, 2016

2015
Discriminative Structured Feature Engineering for Macroscale Brain Connectomes.
IEEE Trans. Medical Imaging, 2015

A novel active splitting strategy search method with modularity-based network partition.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

2014
Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Multiple Task Learning Using Iteratively Reweighted Least Square.
Proceedings of the IJCAI 2013, 2013

2012
Human Identification Using Temporal Information Preserving Gait Template.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

2010
Utility-based fair bandwidth sharing in vehicular networks (extended).
Wirel. Commun. Mob. Comput., 2010

Low-Resolution Gait Recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Utility-based fair bandwidth sharing in vehicular networks.
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010

Chrono-Gait Image: A Novel Temporal Template for Gait Recognition.
Proceedings of the Computer Vision, 2010

2009
Neighbor embedding based super-resolution algorithm through edge detection and feature selection.
Pattern Recognit. Lett., 2009

QoS based scheduling in the downlink of multi-user wireless systems (extended).
Comput. Commun., 2009

Practical and efficient open-loop rate/link adaptation algorithm for high-speed IEEE 802.11n WLANs.
Proceedings of the 14th IEEE Symposium on Computers and Communications (ISCC 2009), 2009

Model-Tree-Based Rate Adaptation Scheme for Vehicular Networks.
Proceedings of IEEE International Conference on Communications, 2009

Interactive Super-Resolution through Neighbor Embedding.
Proceedings of the Computer Vision, 2009

2008
Enhancements on Router-Assisted Congestion Control for Wireless Networks.
IEEE Trans. Wirel. Commun., 2008

2007
Improving Quality of Service for Congestion Control in High-Speed Wired-cum-Wireless Networks.
Proceedings of the Global Communications Conference, 2007

2006
Roundup: a multi-genome repository of orthologs and evolutionary distances.
Bioinform., 2006

QFCP: A Router-Assisted Congestion Control Mechanism for Heterogeneous Networks (Extended).
Proceedings of the Advanced Internet Based Systems and Applications, 2006

A Novel Fuzzy Neural Network for Pattern Recognition.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2003
Reliable routing and its application in MPLS and admission control.
PhD thesis, 2003

SLA Admission Controller for Reliable MPLS Networks.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2002
A general model for machinable features and its application to machinability evaluation of mechanical parts.
Comput. Aided Des., 2002


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