Haoran Sun

Orcid: 0000-0002-6266-123X

According to our database1, Haoran Sun authored at least 115 papers between 2013 and 2024.

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Bibliography

2024
GTGMM: geometry transformer and Gaussian Mixture Models for robust point cloud registration.
Multim. Tools Appl., October, 2024

Wearable Surface Deformation Myography (sDMG) System for Recognition of Locomotion Modes.
IEEE J. Biomed. Health Informatics, August, 2024

Efficient Flow Table Caching Architecture and Replacement Policy for SDN Switches.
J. Netw. Syst. Manag., July, 2024

Computational Imaging With Holographic RIS: Sensing Principle and Pathloss Analysis.
IEEE J. Sel. Areas Commun., June, 2024

A medical text classification approach with ZEN and capsule network.
J. Supercomput., February, 2024

MCLEMCD: multimodal collaborative learning encoder for enhanced music classification from dances.
Multim. Syst., February, 2024

Layered Media Parameter Inversion Method Based on Deconvolution Autoencoder and Self-Attention Mechanism Using GPR Data.
IEEE Trans. Geosci. Remote. Sens., 2024

Multi-Organ Registration With Continual Learning.
IEEE Signal Process. Lett., 2024

Alzheimer's disease classification algorithm based on fusion of channel attention and densely connected networks.
J. Intell. Fuzzy Syst., 2024

Multi-object tracking using score-driven hierarchical association strategy between predicted tracklets and objects.
Image Vis. Comput., 2024

Human-verifiable proofs in the theory of word-representable graphs.
RAIRO Theor. Informatics Appl., 2024

Scattering moment matching-based interpretable domain adaptation for transfer diagnostic tasks.
Neurocomputing, 2024

Regularizing cross-attention learning for end-to-end speech translation with ASR and MT attention matrices.
Expert Syst. Appl., 2024

Deep signal separation for adaptive estimation of instantaneous phase from vibration signals.
Expert Syst. Appl., 2024

Privacy and distribution preserving generative adversarial networks with sample balancing.
Expert Syst. Appl., 2024

CogDevelop2K: Reversed Cognitive Development in Multimodal Large Language Models.
CoRR, 2024

MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions.
CoRR, 2024

Vision Language Models Know Law of Conservation without Understanding More-or-Less.
CoRR, 2024

Vision Language Models See What You Want but not What You See.
CoRR, 2024

Probing Mechanical Reasoning in Large Vision Language Models.
CoRR, 2024

One Fling to Goal: Environment-aware Dynamics for Goal-conditioned Fabric Flinging.
CoRR, 2024

Mechanism Design for LLM Fine-tuning with Multiple Reward Models.
CoRR, 2024

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models.
CoRR, 2024

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models.
CoRR, 2024

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method.
CoRR, 2024

BFG&MSF-Net: Boundary Feature Guidance and Multi-Scale Fusion Network for Thyroid Nodule Segmentation.
IEEE Access, 2024

BGRD-TransUNet: A Novel TransUNet-Based Model for Ultrasound Breast Lesion Segmentation.
IEEE Access, 2024

Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Two-Stage Encrypted Cryptomining Traffic Detection Mechanism in Campus Network.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2024

HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Language-based Audio Retrieval with GPT-Augmented Captions and Self-Attended Audio Clips.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Optimization of facial expression recognition based on dual attention mechanism by lightweight network model.
J. Intell. Fuzzy Syst., November, 2023

Computational design towards energy efficient optimization in overconstrained robotic limbs.
J. Comput. Des. Eng., September, 2023

MMiKG: a knowledge graph-based platform for path mining of microbiota-mental diseases interactions.
Briefings Bioinform., September, 2023

Random Cycle Loss and Its Application to Voice Conversion.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Analysis of Recent Deep-Learning-Based Intrusion Detection Methods for In-Vehicle Network.
IEEE Trans. Intell. Transp. Syst., February, 2023

Study on Rapid Detection of Pesticide Residues in Shanghaiqing Based on Analyzing Near-Infrared Microscopic Images.
Sensors, January, 2023

Multilayered Media Parameter Inversion Based on Reflected Trajectory Fitting Method.
IEEE Geosci. Remote. Sens. Lett., 2023

Triple attention feature enhanced pyramid network for facial expression recognition.
J. Intell. Fuzzy Syst., 2023

Overconstrained Robotic Limb with Energy-Efficient, Omni-directional Locomotion.
CoRR, 2023

Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis.
CoRR, 2023

A Trajectory Planning Framework for Experimental Module Manipulator On-Orbit Servicing.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

DISCS: A Benchmark for Discrete Sampling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Scalable Neural Network for DSIC Affine Maximizer Auction Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2023

TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Revisiting Sampling for Combinatorial Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets.
Proceedings of the International Conference on Machine Learning, 2023

Score-based Continuous-time Discrete Diffusion Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Any-scale Balanced Samplers for Discrete Space.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

RIS-Aided Communications at 3.5GHz: Some Insights from Practical Measurement Results.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Jigsaw-Based Benchmarking for Learning Robotic Manipulation.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards a Deep Understanding of Multilingual End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Discrete Langevin Samplers via Wasserstein Gradient Flow.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
On the Divergence of Decentralized Nonconvex Optimization.
SIAM J. Optim., December, 2022

Efficient Texture Parameterization Driven by Perceptual-Loss-on-Screen.
Comput. Graph. Forum, October, 2022

Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective.
IEEE Trans. Signal Process., 2022

Joint Physics and Data Driven Full-Waveform Inversion for Underground Dielectric Targets Imaging.
IEEE Trans. Geosci. Remote. Sens., 2022

JDAPCOO: Resource Scheduling and Energy Efficiency Optimization in 5G and Satellite Converged Networks for Power Transmission and Distribution Scenarios.
Sensors, 2022

Semantically guided self-supervised monocular depth estimation.
IET Image Process., 2022

6.25-10Gb/s adaptive CTLE with spectrum balancing and loop-unrolled half-rate DFE in TSMC 0.18µm CMOS.
IEICE Electron. Express, 2022

Time-Delay Unit Based Beam Squint Mitigation for RIS-Aided Communications.
IEEE Commun. Lett., 2022

Path Loss of RIS-Aided Spatial Modulation With On/Off Pattern.
IEEE Commun. Lett., 2022

Annealed Training for Combinatorial Optimization on Graphs.
CoRR, 2022

Discrete Langevin Sampler via Wasserstein Gradient Flow.
CoRR, 2022

Economic Upper Bound Estimation in Hausdorff Distance Computation for Triangle Meshes.
Comput. Graph. Forum, 2022

Blockchain-Based Secure and Efficient Federated Learning with Three-phase Consensus and Unknown Device Selection.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Deep Reinforcement Learning for Video Summarization with Semantic Reward.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Cycleflow: Purify Information Factors by Cycle Loss.
Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

Optimal Scaling for Locally Balanced Proposals in Discrete Spaces.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Path Auxiliary Proposal for MCMC in Discrete Space.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Provable Learning-based Algorithm For Sparse Recovery.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Multilingual Neural Machine Transliteration with Adaptive Segmentation Schemes.
Proceedings of the International Conference on Asian Language Processing, 2022

Language Branch Gated Multilingual Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Adaptive Quadruped Balance Control for Dynamic Environments Using Maximum-Entropy Reinforcement Learning.
Sensors, 2021

Mapping Plastic Greenhouses with Two-Temporal Sentinel-2 Images and 1D-CNN Deep Learning.
Remote. Sens., 2021

To Supervise or Not: How to Effectively Learn Wireless Interference Management Models?
CoRR, 2021

Fermion Sampling Made More Efficient.
CoRR, 2021

Design of Instrument Amplifier Based on Crane.
Proceedings of the SSPS 2021: The 3rd International Symposium on Signal Processing Systems, Beijing China, March 26, 2021

To Supervise or Not to Supervise: How to Effectively Learn Wireless Interference Management Models?
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Multi-task Learning of Order-Consistent Causal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Study of Machine Ethics in Human-Artificial Intelligence Interactions.
Proceedings of the Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development, 2021

A Quality Assessment Model for Blockchain-Based Crowdsourcing System.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Defensive Measure of Audio Secret Communication Based on Beamforming.
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

How Speech is Recognized to Be Emotional - A Study Based on Information Decomposition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Deep generative factorization for speech signal.
CoRR, 2020

On the Divergence of Decentralized Non-Convex Optimization.
CoRR, 2020

Structure-augmented knowledge graph embedding for sparse data with rule learning.
Comput. Commun., 2020

Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Substituting Gadolinium in Brain MRI Using DeepContrast.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms.
IEEE Trans. Signal Process., 2019

A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization.
IEEE Trans. Cybern., 2019

On Investigation of Unsupervised Speech Factorization Based on Normalization Flow.
CoRR, 2019

Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach.
CoRR, 2019

Alice's Adventures in the Markovian World.
CoRR, 2019

Analysis of the Interactive Influence of the Active Power Recovery Rates of DFIG and UHVDC on the Rotor Angle Stability of the Sending-End System.
IEEE Access, 2019

Deep Learning Based Preamble Detection and TOA Estimation.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization.
Proceedings of the IEEE Data Science Workshop, 2019

2018
Learning to Optimize: Training Deep Neural Networks for Interference Management.
IEEE Trans. Signal Process., 2018

A Microwave Method for Dielectric Characterization Measurement of Small Liquids Using a Metamaterial-Based Sensor.
Sensors, 2018

A diversity indicator based on reference vectors for many-objective optimization.
Inf. Sci., 2018

Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search.
CoRR, 2018

Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Research on Sequential Prediction Model for Gas Pipeline Pressure Value Based on Spatial Correlation.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Topic Model Based Knowledge Graph for Entity Similarity Measuring.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

2017
Learning to optimize: Training deep neural networks for wireless resource management.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Toward Building a Legal Knowledge-Base of Chinese Judicial Documents for Large-Scale Analytics.
Proceedings of the Legal Knowledge and Information Systems, 2017

2016
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization.
CoRR, 2016

2013
Calculating electronic properties of the Si: SiO2 interface using density functional theory with periodical boundary condition.
Proceedings of the IEEE International Conference on Electro-Information Technology , 2013


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