Haoran Deng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Sorting of box-shaped objects based on multi-modal information.
Intell. Serv. Robotics, July, 2025

Industrial Energy Management and Production Decision Making via Lyapunov-Guided Learning.
IEEE Trans. Smart Grid, May, 2025

VSFormer: Mining Correlations in Flexible View Set for Multi-View 3D Shape Understanding.
IEEE Trans. Vis. Comput. Graph., April, 2025

Calibration method for microscopic traffic simulation considering lane difference.
Simul., 2025

SYN-PBOX: A large-scale benchmark dataset of box-shaped objects for scene understanding of bin picking.
Neurocomputing, 2025

A robotic grasping method of box-shaped objects based on Dual-Stream You Only Look Once framework.
Eng. Appl. Artif. Intell., 2025

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Joint Trading and Scheduling Among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters.
IEEE Trans. Smart Grid, May, 2024

Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading.
IEEE Trans. Signal Process., 2024

Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images.
CoRR, 2024

Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph.
Proceedings of the ACM on Web Conference 2024, 2024

Parameter-efficient Prompt Learning for 3D Point Cloud Understanding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Fast Updating Truncated SVD for Representation Learning with Sparse Matrices.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Hydrogen Supply Infrastructure Network Planning Approach towards Chicken-egg Conundrum.
CoRR, 2023

Attention in Differential Cryptanalysis on Lightweight Block Cipher SPECK.
Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Distributionally Robust Day-ahead Scheduling for Power-traffic Network under a Potential Game Framework.
CoRR, 2022

Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Distributionally Robust Day-ahead Scheduling for Power-traffic Network Considering Multiple Uncertainties under a Potential Game Framework.
CoRR, 2021

2020
Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Evaluating and Boosting Uncertainty Quantification in Classification.
CoRR, 2019

Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks.
CoRR, 2019

2014
On-line signature verification based on spatio-temporal correlation.
Multim. Tools Appl., 2014

2013
Comparative analysis of the transportation of select petrochemicals.
Int. J. Crit. Infrastructures, 2013

2009
On-Line Signature Verification Based on Spatio-Temporal Correlation.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009


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