Haiyang He

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 27

Top Topics

Unsupervised Learning

Bayesian Reinforcement Learning

Artificial Bee Colony Algorithm

Traffic Analysis

Top Venues

Publications

Mengqian Shi, Yi Cheng, Yanru Wang, Haiyang He
Comprehensive Benefit Analysis Method for Equipment Assets Based on DPV Distribution Network Reconfiguration. PEAI (2024)
Ruohua Zhu, Haiyang He, Yuzhe Chen, Ming Yi, Shengdong Ran, Chengde Wang, Yi Wang
Deep learning for rapid virtual H&E staining of label-free glioma tissue from hyperspectral images. Comput. Biol. Medicine 180 (2024)
Zhonghua Hong, Linxuan Zhong, Xiaohua Tong, Haiyan Pan, Ruyan Zhou, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang, Haiyang He
An Improved Double-Branch Network for Estimation of Crater Ages Based on Semisupervised Learning and Multi-Source Lunar Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Haiyang He, Norman Chang, Jie Yang, Akhilesh Kumar, Wenbo Xia, Lang Lin, Rishikesh Ranade
Invited Paper: Solving Fine-Grained Static 3DIC Thermal with ML Thermal Solver Enhanced with Decay Curve Characterization. ICCAD (2023)
Li Zheng, Yanghong Li, Yahao Wang, Guangrui Bai, Haiyang He, Erbao Dong
Uncertainty in Bayesian Reinforcement Learning for Robot Manipulation Tasks with Sparse Rewards. ROBIO (2023)
Haiyang He, Jingsha He
Outsourced Attribute-Based Encryption Scheme Based on Semantic Technology in Fog Computing. ICCEIC (2023)
Youcef Nafa, Qun Chen, Zhaoqiang Chen, Xingyu Lu, Haiyang He, Tianyi Duan, Zhanhuai Li
Active deep learning on entity resolution by risk sampling. Knowl. Based Syst. 236 (2022)
Jing Wang, Yuanzi Zhang, Minglin Hong, Haiyang He, Shiguo Huang
A self-adaptive level-based learning artificial bee colony algorithm for feature selection on high-dimensional classification. Soft Comput. 26 (18) (2022)
Haiyang He, Jing Wang, Xiaolin Li, Minglin Hong, Shiguo Huang, Tao Zhou
EAF-Net: an enhancement and aggregation-feedback network for RGB-T salient object detection. Mach. Vis. Appl. 33 (4) (2022)
Rishikesh Ranade, Haiyang He, Jay Pathak, Norman Chang, Akhilesh Kumar, Jimin Wen
A Thermal Machine Learning Solver For Chip Simulation. MLCAD (2022)
Akhilesh Kumar, Norman Chang, David Geb, Haiyang He, Stephen H. Pan, Jimin Wen, Saeed Asgari, Mehdi Abarham, Chris Ortiz
ML-based Fast On-Chip Transient Thermal Simulation for Heterogeneous 2.5D/3D IC Designs. VLSI-DAT (2022)
Rishikesh Ranade, Haiyang He, Jay Pathak, Norman Chang, Akhilesh Kumar, Jimin Wen
A Thermal Machine Learning Solver For Chip Simulation. CoRR (2022)
Lu Lu, Haiyang He, Priya Kasimbeg, Rishikesh Ranade, Jay Pathak
One-shot learning for solution operators of partial differential equations. CoRR (2021)
Rishikesh Ranade, Chris Hill, Haiyang He, Amir Maleki, Jay Pathak
A Latent space solver for PDE generalization. CoRR (2021)
Haiyang He, Xiaolin Li, Zhihong Wang, Shiguo Huang
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection. IEEE BigData (2021)
Amir Maleki, Jan Heyse, Rishikesh Ranade, Haiyang He, Priya Kasimbeg, Jay Pathak
Geometry encoding for numerical simulations. CoRR (2021)
Rishikesh Ranade, Chris Hill, Haiyang He, Amir Maleki, Norman Chang, Jay Pathak
A composable autoencoder-based iterative algorithm for accelerating numerical simulations. CoRR (2021)
Zhihong Wang, Jinshan Ma, Haiyang He, Zixuan Wu, Changying Wang, Li Cheng
ATKey.Net: Keypoint Detection by Handcrafted and Learned CNN with Attention. CCIS (2021)
Haiyang He, Jay Pathak
An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient. CoRR (2020)
Minglin Hong, Xiaolin Li, Jing Wang, Haiyang He, Shiguo Huang
A Hybrid Salient Object Detection with Global Context Awareness. IEEE BigData (2020)
Youcef Nafa, Qun Chen, Zhaoqiang Chen, Xingyu Lu, Haiyang He, Tianyi Duan, Zhanhuai Li
Active Deep Learning on Entity Resolution by Risk Sampling. CoRR (2020)
Ziyi Cai, Haiyang He
Existence of solution for nonlinear integral equations of Hénon type in critical case. Appl. Math. Lett. 104 (2020)
Yangyang Li, Dong Wang, Haiyang He, Licheng Jiao, Yu Xue
Mining intrinsic information by matrix factorization-based approaches for collaborative filtering in recommender systems. Neurocomputing 249 (2017)
Haiyang He, Qiang Li, Xiang Yu, Xiangyu Han
基于高阶π演算的构件演化行为研究 (Research on Component Evolving Behavior Based on High-order π Calculus). 计算机科学 44 (3) (2017)
Yangyang Li, Guoli Yang, Haiyang He, Licheng Jiao, Ronghua Shang
A study of large-scale data clustering based on fuzzy clustering. Soft Comput. 20 (8) (2016)
Yuanyuan Qiao, Jie Yang, Haiyang He, Yihang Cheng, Zhanyu Ma
User location prediction with energy efficiency model in the Long Term-Evolution network. Int. J. Commun. Syst. 29 (14) (2016)
Junhui Xie, Qiuyi Dai, Haiyang He
Threshold results for semilinear parabolic systems. Comput. Math. Appl. 71 (12) (2016)
Yangyang Li, Haiyang He, Yang Wang, Xia Xu, Licheng Jiao
An improved multiobjective estimation of distribution algorithm for environmental economic dispatch of hydrothermal power systems. Appl. Soft Comput. 28 (2015)
Jie Yang, Yuanyuan Qiao, Xinyu Zhang, Haiyang He, Fang Liu, Gang Cheng
Characterizing User Behavior in Mobile Internet. IEEE Trans. Emerg. Top. Comput. 3 (1) (2015)
Haiyang He, Yuanyuan Qiao, Sheng Gao, Jie Yang, Jun Guo
Prediction of User Mobility Pattern on a Network Traffic Analysis Platform. MobiArch (2015)
Jie Yang, Haiyang He, Yuanyuan Qiao
Network traffic analysis based on Hadoop. VITAE (2014)
Jingmei Zhai, Haiyang He, Bo Kang
Studies of adaptive control methods based on VSC for trajectory tracking of robotic manipulators. ROBIO (2012)
Xiaofeng Tao, Yanzhao Hou, Haiyang He, Kaidong Wang, Yingyue Xu
GPP-based soft base station designing and optimization (invited paper). CHINACOM (2012)