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2020 – today
- 2024
[j23]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: 122439 (2024)- [c38]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: 10424-10443 - [c37]Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata:
Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. CEC 2024: 1-8 - [c36]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: 10216-10220 - [i20]Shentao Yang, Haichuan Yang, Linna Du, Adithya Ganesh, Bo Peng, Boying Liu, Serena Li, Ji Liu:
SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. CoRR abs/2408.07759 (2024) - 2023
- [j22]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: 110306 (2023) - [j21]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): 1051 (2023) - [j20]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): 106198 (2023) - [j19]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): 1168-1180 (2023) - [j18]Baohang Zhang, Haichuan Yang, Tao Zheng, Ronglong Wang, Shangce Gao:
A Non-Revisiting Equilibrium Optimizer Algorithm. IEICE Trans. Inf. Syst. 106(3): 365-373 (2023) - [j17]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): 76 (2023) - [j16]Haichuan Yang, Ziquan Yu, Youmin Zhang:
Event-triggered resilient consensus control of multiple unmanned systems against periodic DoS attacks based on state predictor. Secur. Saf. 2: 2023017 (2023) - [c35]Ziqing Ye, Haichuan Yang, Naoya Chiba, Koichi Hashimoto:
Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP. CIIS 2023: 59-65 - [c34]Qianyu Zhu, Yifei Yang, Haotian Li, Haichuan Yang, Baohang Zhang, Shangce Gao:
Chaotic Mapping Genetic Algorithm with Multiple Strategies. ICACI 2023: 1-4 - [c33]Haichuan Yang, Minrui Fu, Ziquan Yu, Youmin Zhang:
Event-Triggered Consensus Control of Multi-Agent System under Periodic DoS Attacks. MED 2023: 401-406 - [c32]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 - [i19]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 abs/2306.04845 (2023) - [i18]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 abs/2309.01947 (2023) - [i17]Wenxuan Zeng, Meng Li, Haichuan Yang, Wenjie Lu, Runsheng Wang, Ru Huang:
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. CoRR abs/2311.01737 (2023) - 2022
- [j15]Xiaosi Li, Kaiyu Wang, Haichuan Yang, Sichen Tao, Shuai Feng, Shangce Gao:
PAIDDE: A Permutation-Archive Information Directed Differential Evolution Algorithm. IEEE Access 10: 50384-50402 (2022) - [j14]Jiayi Li, Lin Yang, Junyan Yi, Haichuan Yang, Yuki Todo, Shangce Gao:
A Simple but Efficient Ranking-Based Differential Evolution. IEICE Trans. Inf. Syst. 105-D(1): 189-192 (2022) - [j13]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): 48-58 (2022) - [j12]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: 109081 (2022) - [c31]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: 8197-8201 - [c30]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: 6849-6862 - [c29]Shibo Dong, Haichuan Yang, Haotian Li, Baohang Zhang, Sichen Tao, Shangce Gao:
Hierarchical Water Wave Optimization. ICNSC 2022: 1-5 - [c28]Qingya Sui, Sichen Tao, Lin Zhong, Haichuan Yang, Zhenyu Lei, Shangce Gao:
An Immigration Strategy-based Spherical Search Algorithm. ICNSC 2022: 1-5 - [c27]Lin Zhong, Sichen Tao, Qingya Sui, Haichuan Yang, Zhenyu Lei, Shangce Gao:
A Population Resource Allocation-based Adaptive Spherical Search Algorithm. ICNSC 2022: 1-4 - [c26]Yifei Yang, Haotian Li, Haichuan Yang, Baohang Zhang, Shangce Gao:
A Novel Differential Evolution Sparrow Search Algorithm. ISCID 2022: 1-5 - [c25]Jiatianyi Yu, Haichuan Yang, Baohang Zhang, Shibo Dong, Shangce Gao:
An Optimal Differential Vector Incorporated Whale Optimizer. ISCID 2022: 6-10 - [c24]Haotian Li, Yifei Yang, Haichuan Yang, Zheng Tang, Shangce Gao:
Gravitational Search Algorithm With Hierarchical Structure Guided By Elite Individual. ISCID 2022: 180-184 - [c23]Chunxi Liu, Yuan Shangguan, Haichuan Yang, Yangyang Shi, Raghuraman Krishnamoorthi, Ozlem Kalinli:
Learning a Dual-Mode Speech Recognition Model VIA Self-Pruning. SLT 2022: 273-279 - [i16]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 abs/2206.00843 (2022) - [i15]Chunxi Liu, Yuan Shangguan, Haichuan Yang, Yangyang Shi, Raghuraman Krishnamoorthi, Ozlem Kalinli:
Learning a Dual-Mode Speech Recognition Model via Self-Pruning. CoRR abs/2207.11906 (2022) - [i14]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 abs/2211.04635 (2022) - 2021
- [j11]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: 77416-77437 (2021) - [j10]Xiaosi Li, Haichuan Yang, Jiayi Li, Yirui Wang, Shangce Gao:
A Novel Distributed Gravitational Search Algorithm With Multi-Layered Information Interaction. IEEE Access 9: 166552-166565 (2021) - [j9]Haichuan Yang, Shangce Gao, Ronglong Wang, Yuki Todo:
A Ladder Spherical Evolution Search Algorithm. IEICE Trans. Inf. Syst. 104-D(3): 461-464 (2021) - [j8]Lin Yang, Shangce Gao, Haichuan Yang, Zonghui Cai, Zhenyu Lei, Yuki Todo:
Adaptive chaotic spherical evolution algorithm. Memetic Comput. 13(3): 383-411 (2021) - [c22]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: 1-4 - [c21]Tao Zheng, Baohang Zhang, Haichuan Yang, Jiayi Li, Shangce Gao:
Differential Whale Optimization Algorithm. ICNSC 2021: 1-6 - [c20]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: 3783-3786 - [i13]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 abs/2107.04677 (2021) - [i12]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 abs/2110.08352 (2021) - [i11]Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra:
Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR abs/2111.01697 (2021) - [i10]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 abs/2111.09887 (2021) - 2020
- [j7]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: 205878-205893 (2020) - [j6]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: 2710561:1-2710561:19 (2020) - [j5]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): 983-997 (2020) - [c19]Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu:
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. CVPR 2020: 2175-2185 - [c18]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: 54-73 - [c17]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: 1-6 - [c16]Zhen Li, Haichuan Yang, Zhiming Zhang, Yuki Todo, Shangce Gao:
Spherical Evolution Enhanced with Salp Swarm Algorithm. ISCID 2020: 62-66 - [c15]Sicheng Liu, Sichen Tao, Haichuan Yang, Lin Jiang, Yuki Todo, Shangce Gao:
Using Grey Wolf Hunting Mechanism to Improve Spherical Search. ISCID 2020: 67-71 - [i9]Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang:
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework. CoRR abs/2008.11062 (2020)
2010 – 2019
- 2019
- [j4]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): 3072-3083 (2019) - [c14]Haichuan Yang, Yuhao Zhu, Ji Liu:
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CVPR 2019: 11206-11215 - [c13]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 - [c12]Haichuan Yang, Yuhao Zhu, Ji Liu:
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. ICLR (Poster) 2019 - [c11]Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu:
Model Compression with Adversarial Robustness: A Unified Optimization Framework. NeurIPS 2019: 1283-1294 - [i8]Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu:
Adversarially Trained Model Compression: When Robustness Meets Efficiency. CoRR abs/1902.03538 (2019) - [i7]Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu:
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization. CoRR abs/1910.05897 (2019) - 2018
- [j3]Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock:
Adaptive hash retrieval with kernel based similarity. Pattern Recognit. 75: 136-148 (2018) - [i6]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 abs/1803.06604 (2018) - [i5]Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features with Sparse Support Recovery. CoRR abs/1804.05515 (2018) - [i4]Haichuan Yang, Yuhao Zhu, Ji Liu:
End-to-End Learning of Energy-Constrained Deep Neural Networks. CoRR abs/1806.04321 (2018) - [i3]Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu:
Marginal Policy Gradients for Complex Control. CoRR abs/1806.05134 (2018) - [i2]Haichuan Yang, Yuhao Zhu, Ji Liu:
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CoRR abs/1812.01803 (2018) - 2017
- [c10]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: 3871-3880 - [i1]Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu:
On The Projection Operator to A Three-view Cardinality Constrained Set. CoRR abs/1703.07345 (2017) - 2016
- [j2]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): 3955-3971 (2016) - [c9]Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang:
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. CVPR 2016: 5945-5954 - [c8]Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu:
Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. KDD 2016: 1945-1954 - 2015
- [c7]Haoyi Zhou, Xiao Bai, Jun Zhou, Haichuan Yang, Yun Liu:
Learning Graph Model for Different Dimensions Image Matching. GbRPR 2015: 158-167 - [c6]Yanzhen Liu, Xiao Bai, Haichuan Yang, Zhou Jun, Zhihong Zhang:
Isometric Mapping Hashing. GbRPR 2015: 325-334 - 2014
- [j1]Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng:
Data-Dependent Hashing Based on p-Stable Distribution. IEEE Trans. Image Process. 23(12): 5033-5046 (2014) - [c5]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng:
Adaptive Object Retrieval with Kernel Reconstructive Hashing. CVPR 2014: 1955-1962 - [c4]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai:
Semi-randomized hashing for large scale data retrieval. DSAA 2014: 53-58 - 2013
- [c3]Haichuan Yang, Xiao Bai, Chuntian Liu, Jun Zhou:
Label propagation hashing based on p-stable distribution and coordinate descent. ICIP 2013: 2674-2678 - [c2]Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou:
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. IGARSS 2013: 1474-1477
2000 – 2009
- 2002
- [c1]Anurag Shankar, Gustav Meglicki, Jeff Russ, Haichuan Yang, E. Chris Garrison:
Building and supporting a massive data infrastructure for the masses. SIGUCCS 2002: 134-138
Coauthor Index
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