Haichuan Yang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 71

Top Topics

Search Algorithm

Optimization Problems

Top Venues

Publications

Zihang Zhang, Qianrui Yu, Haichuan Yang, Jiayi Li, Jiujun Cheng, Shangce Gao
Triple-layered chaotic differential evolution algorithm for layout optimization of offshore wave energy converters. Expert Syst. Appl. 239 (2024)
Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) (2024)
Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. ICASSP (2024)
Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata
Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. CEC (2024)
Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR (2023)
Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. NeurIPS (2023)
Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models. CoRR (2023)
Haichuan Yang, Yuxin Zhang, Chaofeng Zhang, Wei Xia, Yifei Yang, Zhenwei Zhang
A Hyperparameter Self-Evolving SHADE-Based Dendritic Neuron Model for Classification. Axioms 12 (11) (2023)
Haichuan Yang, Shangce Gao, Zhenyu Lei, Jiayi Li, Yang Yu, Yirui Wang
An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Baohang Zhang, Haichuan Yang, Tao Zheng, Ronglong Wang, Shangce Gao
A Non-Revisiting Equilibrium Optimizer Algorithm. IEICE Trans. Inf. Syst. 106 (3) (2023)
Ziqing Ye, Haichuan Yang, Naoya Chiba, Koichi Hashimoto
Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP. CIIS (2023)
Zhenyu Lei, Shangce Gao, Zhiming Zhang, Haichuan Yang, Haotian Li
A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization. IEEE CAA J. Autom. Sinica 10 (5) (2023)
Haichuan Yang, Minrui Fu, Ziquan Yu, Youmin Zhang
Event-Triggered Consensus Control of Multi-Agent System under Periodic DoS Attacks. MED (2023)
Qianyu Zhu, Yifei Yang, Haotian Li, Haichuan Yang, Baohang Zhang, Shangce Gao
Chaotic Mapping Genetic Algorithm with Multiple Strategies. ICACI (2023)
Yang Yu, Tengfei Zhang, Zhenyu Lei, Yirui Wang, Haichuan Yang, Shangce Gao
A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization. Appl. Soft Comput. 141 (2023)
Wenxuan Zeng, Meng Li, Haichuan Yang, Wenjie Lu, Runsheng Wang, Ru Huang
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. CoRR (2023)
Haotian Li, Haichuan Yang, Baohang Zhang, Han Zhang, Shangce Gao
Swarm Exploration Mechanism-Based Distributed Water Wave Optimization. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Jiatianyi Yu, Haichuan Yang, Baohang Zhang, Shibo Dong, Shangce Gao
An Optimal Differential Vector Incorporated Whale Optimizer. ISCID (2022)
Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP (2022)
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR (2022)
Haichuan Yang, Sichen Tao, Zhiming Zhang, Zonghui Cai, Shangce Gao
Spatial information sampling: another feedback mechanism of realising adaptive parameter control in meta-heuristic algorithms. Int. J. Bio Inspired Comput. 19 (1) (2022)
Qingya Sui, Sichen Tao, Lin Zhong, Haichuan Yang, Zhenyu Lei, Shangce Gao
An Immigration Strategy-based Spherical Search Algorithm. ICNSC (2022)
Haichuan Yang, Zhaojun Yang, Li Wan, Biqiao Zhang, Yangyang Shi, Yiteng Huang, Ivaylo Enchev, Limin Tang, Raziel Alvarez, Ming Sun, Xin Lei, Raghuraman Krishnamoorthi, Vikas Chandra
LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting. CoRR (2022)
Haichuan Yang, Yang Yu, Jiujun Cheng, Zhenyu Lei, Zonghui Cai, Zihang Zhang, Shangce Gao
An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration. Knowl. Based Syst. 250 (2022)
Chunxi Liu, Yuan Shangguan, Haichuan Yang, Yangyang Shi, Raghuraman Krishnamoorthi, Ozlem Kalinli
Learning a Dual-Mode Speech Recognition Model via Self-Pruning. CoRR (2022)
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML (2022)
Xiaosi Li, Kaiyu Wang, Haichuan Yang, Sichen Tao, Shuai Feng, Shangce Gao
PAIDDE: A Permutation-Archive Information Directed Differential Evolution Algorithm. IEEE Access 10 (2022)
Yifei Yang, Haotian Li, Haichuan Yang, Baohang Zhang, Shangce Gao
A Novel Differential Evolution Sparrow Search Algorithm. ISCID (2022)
Lin Zhong, Sichen Tao, Qingya Sui, Haichuan Yang, Zhenyu Lei, Shangce Gao
A Population Resource Allocation-based Adaptive Spherical Search Algorithm. ICNSC (2022)
Jiayi Li, Lin Yang, Junyan Yi, Haichuan Yang, Yuki Todo, Shangce Gao
A Simple but Efficient Ranking-Based Differential Evolution. IEICE Trans. Inf. Syst. (1) (2022)
Haotian Li, Yifei Yang, Haichuan Yang, Zheng Tang, Shangce Gao
Gravitational Search Algorithm With Hierarchical Structure Guided By Elite Individual. ISCID (2022)
Chunxi Liu, Yuan Shangguan, Haichuan Yang, Yangyang Shi, Raghuraman Krishnamoorthi, Ozlem Kalinli
Learning a Dual-Mode Speech Recognition Model VIA Self-Pruning. SLT (2022)
Shibo Dong, Haichuan Yang, Haotian Li, Baohang Zhang, Sichen Tao, Shangce Gao
Hierarchical Water Wave Optimization. ICNSC (2022)
Renyuan Zhang, Xuetao Wang, Ziyu Wang, Anfeng Xue, Haichuan Yang, Yu Gong, Bo Liu
Mutual Error Compensation based Area and Power efficient Approximate Multiplier. ASICON (2021)
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia (2021)
Xiaosi Li, Haichuan Yang, Jiayi Li, Yirui Wang, Shangce Gao
A Novel Distributed Gravitational Search Algorithm With Multi-Layered Information Interaction. IEEE Access 9 (2021)
Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR (2021)
Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra
Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR (2021)
Tao Zheng, Baohang Zhang, Haichuan Yang, Jiayi Li, Shangce Gao
Differential Whale Optimization Algorithm. ICNSC (2021)
Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
Noisy Training Improves E2E ASR for the Edge. CoRR (2021)
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR (2021)
Lin Yang, Shangce Gao, Haichuan Yang, Zonghui Cai, Zhenyu Lei, Yuki Todo
Adaptive chaotic spherical evolution algorithm. Memetic Comput. 13 (3) (2021)
Haichuan Yang, Shangce Gao, Ronglong Wang, Yuki Todo
A Ladder Spherical Evolution Search Algorithm. IEICE Trans. Inf. Syst. (3) (2021)
Zhe Xu, Haichuan Yang, Jiayi Li, Xingyi Zhang, Bo Lu, Shangce Gao
Comparative Study on Single and Multiple Chaotic Maps Incorporated Grey Wolf Optimization Algorithms. IEEE Access 9 (2021)
Sicheng Liu, Sichen Tao, Haichuan Yang, Lin Jiang, Yuki Todo, Shangce Gao
Using Grey Wolf Hunting Mechanism to Improve Spherical Search. ISCID (2020)
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework. CoRR (2020)
Zhen Li, Haichuan Yang, Zhiming Zhang, Yuki Todo, Shangce Gao
Spherical Evolution Enhanced with Salp Swarm Algorithm. ISCID (2020)
Pengxing Cai, Haichuan Yang, Yu Zhang, Yuki Todo, Zheng Tang, Shangce Gao
A Sine Cosine Algorithm Enhanced Spherical Evolution for Continuous Optimization Problems. ISCID (2020)
Yu Gong, Yan Li, Xiaoling Ding, Haichuan Yang, Zilong Zhang, Xuan Zhang, Wei Ge, Zhen Wang, Bo Liu
QCNN Inspired Reconfigurable Keyword Spotting Processor With Hybrid Data-Weight Reuse Methods. IEEE Access 8 (2020)
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. ECCV (4) (2020)
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. CVPR (2020)
Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu
Learning Simple Thresholded Features With Sparse Support Recovery. IEEE Trans. Circuits Syst. Video Technol. 30 (4) (2020)
Zhe Wang, Shangce Gao, Jiaxin Wang, Haichuan Yang, Yuki Todo
A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm. Comput. Intell. Neurosci. 2020 (2020)
Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu
Model Compression with Adversarial Robustness: A Unified Optimization Framework. NeurIPS (2019)
Haichuan Yang, Yuhao Zhu, Ji Liu
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CVPR (2019)
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization. CoRR (2019)
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. ICLR (Poster) (2019)
Haichuan Yang, Yuhao Zhu, Ji Liu
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. ICLR (Poster) (2019)
Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu
Adversarially Trained Model Compression: When Robustness Meets Efficiency. CoRR (2019)
Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu
Learning Simple Thresholded Features with Sparse Support Recovery. CoRR (2018)
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
Marginal Policy Gradients for Complex Control. CoRR (2018)
Haichuan Yang, Yuhao Zhu, Ji Liu
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CoRR (2018)
Haichuan Yang, Yuhao Zhu, Ji Liu
End-to-End Learning of Energy-Constrained Deep Neural Networks. CoRR (2018)
Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock
Adaptive hash retrieval with kernel based similarity. Pattern Recognit. 75 (2018)
Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. CoRR (2018)
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
On The Projection Operator to A Three-view Cardinality Constrained Set. CoRR (2017)
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
On The Projection Operator to A Three-view Cardinality Constrained Set. ICML (2017)
Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu
Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. KDD (2016)
Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. CVPR (2016)
Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou, Wenzhong Tang
Maximum margin hashing with supervised information. Multim. Tools Appl. 75 (7) (2016)
Haoyi Zhou, Xiao Bai, Jun Zhou, Haichuan Yang, Yun Liu
Learning Graph Model for Different Dimensions Image Matching. GbRPR (2015)
Yanzhen Liu, Xiao Bai, Haichuan Yang, Zhou Jun, Zhihong Zhang
Isometric Mapping Hashing. GbRPR (2015)
Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai
Semi-randomized hashing for large scale data retrieval. DSAA (2014)
Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng
Data-Dependent Hashing Based on p-Stable Distribution. IEEE Trans. Image Process. 23 (12) (2014)
Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng
Adaptive Object Retrieval with Kernel Reconstructive Hashing. CVPR (2014)
Haichuan Yang, Xiao Bai, Chuntian Liu, Jun Zhou
Label propagation hashing based on p-stable distribution and coordinate descent. ICIP (2013)
Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. IGARSS (2013)
Anurag Shankar, Gustav Meglicki, Jeff Russ, Haichuan Yang, E. Chris Garrison
Building and supporting a massive data infrastructure for the masses. SIGUCCS (2002)