Haichuan Yang

Orcid: 0000-0001-7100-7945

According to our database1, Haichuan Yang authored at least 72 papers between 2002 and 2024.

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Bibliography

2024
Triple-layered chaotic differential evolution algorithm for layout optimization of offshore wave energy converters.
Expert Syst. Appl., 2024

SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis.
CoRR, 2024

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Swarm Exploration Mechanism-Based Distributed Water Wave Optimization.
Int. J. Comput. Intell. Syst., December, 2023

A Hyperparameter Self-Evolving SHADE-Based Dendritic Neuron Model for Classification.
Axioms, November, 2023

A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization.
Appl. Soft Comput., July, 2023

A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization.
IEEE CAA J. Autom. Sinica, May, 2023

A Non-Revisiting Equilibrium Optimizer Algorithm.
IEICE Trans. Inf. Syst., March, 2023

Event-triggered resilient consensus control of multiple unmanned systems against periodic DoS attacks based on state predictor.
Secur. Saf., 2023

An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem.
Eng. Appl. Artif. Intell., 2023

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.
CoRR, 2023

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Event-Triggered Consensus Control of Multi-Agent System under Periodic DoS Attacks.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Chaotic Mapping Genetic Algorithm with Multiple Strategies.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023

2022
An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration.
Knowl. Based Syst., 2022

Spatial information sampling: another feedback mechanism of realising adaptive parameter control in meta-heuristic algorithms.
Int. J. Bio Inspired Comput., 2022

A Simple but Efficient Ranking-Based Differential Evolution.
IEICE Trans. Inf. Syst., 2022

LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting.
CoRR, 2022

PAIDDE: A Permutation-Archive Information Directed Differential Evolution Algorithm.
IEEE Access, 2022

Learning a Dual-Mode Speech Recognition Model VIA Self-Pruning.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

An Optimal Differential Vector Incorporated Whale Optimizer.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

A Novel Differential Evolution Sparrow Search Algorithm.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Gravitational Search Algorithm With Hierarchical Structure Guided By Elite Individual.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

A Population Resource Allocation-based Adaptive Spherical Search Algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

An Immigration Strategy-based Spherical Search Algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Hierarchical Water Wave Optimization.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Adaptive chaotic spherical evolution algorithm.
Memetic Comput., 2021

A Ladder Spherical Evolution Search Algorithm.
IEICE Trans. Inf. Syst., 2021

Low-Rank+Sparse Tensor Compression for Neural Networks.
CoRR, 2021

Noisy Training Improves E2E ASR for the Edge.
CoRR, 2021

Comparative Study on Single and Multiple Chaotic Maps Incorporated Grey Wolf Optimization Algorithms.
IEEE Access, 2021

A Novel Distributed Gravitational Search Algorithm With Multi-Layered Information Interaction.
IEEE Access, 2021

PyTorchVideo: A Deep Learning Library for Video Understanding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Differential Whale Optimization Algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Mutual Error Compensation based Area and Power efficient Approximate Multiplier.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

2020
Learning Simple Thresholded Features With Sparse Support Recovery.
IEEE Trans. Circuits Syst. Video Technol., 2020

A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm.
Comput. Intell. Neurosci., 2020

QCNN Inspired Reconfigurable Keyword Spotting Processor With Hybrid Data-Weight Reuse Methods.
IEEE Access, 2020

Using Grey Wolf Hunting Mechanism to Improve Spherical Search.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Spherical Evolution Enhanced with Salp Swarm Algorithm.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

A Sine Cosine Algorithm Enhanced Spherical Evolution for Continuous Optimization Problems.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework.
Proceedings of the Computer Vision - ECCV 2020, 2020

Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization.
CoRR, 2019

Adversarially Trained Model Compression: When Robustness Meets Efficiency.
CoRR, 2019

Model Compression with Adversarial Robustness: A Unified Optimization Framework.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking.
Proceedings of the 7th International Conference on Learning Representations, 2019

Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications.
Proceedings of the 7th International Conference on Learning Representations, 2019

ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Adaptive hash retrieval with kernel based similarity.
Pattern Recognit., 2018

ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model.
CoRR, 2018

Marginal Policy Gradients for Complex Control.
CoRR, 2018

End-to-End Learning of Energy-Constrained Deep Neural Networks.
CoRR, 2018

A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
CoRR, 2018

2017
On The Projection Operator to A Three-view Cardinality Constrained Set.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Maximum margin hashing with supervised information.
Multim. Tools Appl., 2016

Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

On Benefits of Selection Diversity via Bilevel Exclusive Sparsity.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Learning Graph Model for Different Dimensions Image Matching.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Isometric Mapping Hashing.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

2014
Data-Dependent Hashing Based on p-Stable Distribution.
IEEE Trans. Image Process., 2014

Semi-randomized hashing for large scale data retrieval.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Adaptive Object Retrieval with Kernel Reconstructive Hashing.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Label propagation hashing based on p-stable distribution and coordinate descent.
Proceedings of the IEEE International Conference on Image Processing, 2013

2002
Building and supporting a massive data infrastructure for the masses.
Proceedings of the 30th annual ACM SIGUCCS conference on User services: Charting Bold Courses, 2002


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