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2020 – today
- 2024
[j28]Sai Li
, Peng Kou, Miao Ma, Haoyu Yang, Shuo Huang, Zhengyi Yang:
Application of Semi-Supervised Learning in Image Classification: Research on Fusion of Labeled and Unlabeled Data. IEEE Access 12: 27331-27343 (2024)- [j27]Lingbo Li, Zhichun Li, Fusen Guo, Haoyu Yang, Jingtian Wei, Zhengyi Yang:
Prototype Comparison Convolutional Networks for One-Shot Segmentation. IEEE Access 12: 54978-54990 (2024) - [j26]Xu Li, Haoliang Zhong, Haoyu Yang, Lin Li, Qingji Wang:
High-Throughput Screening and Prediction of Nucleophilicity of Amines Using Machine Learning and DFT Calculations. J. Chem. Inf. Model. 64(16): 6361-6368 (2024) - [j25]Xiaoxiao Liang, Yikang Ouyang, Haoyu Yang, Bei Yu, Yuzhe Ma:
RL-OPC: Mask Optimization With Deep Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 340-351 (2024) - [c45]Tao Zhang, Haoyu Yang, Kang Liu, Zhiyao Xie:
APPLE: An Explainer of ML Predictions on Circuit Layout at the Circuit-Element Level. ASPDAC 2024: 374-379 - [c44]Haoyu Yang, Haoxing Ren:
ILILT: Implicit Learning of Inverse Lithography Technologies. ICML 2024 - [c43]Haoyu Yang, Anthony Agnesina, Haoxing Ren:
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent. MLCAD 2024: 34:1-34:7 - [i25]Haoyu Yang, Anthony Agnesina, Haoxing Ren:
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent. CoRR abs/2402.06034 (2024) - [i24]Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma:
CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. CoRR abs/2404.00980 (2024) - [i23]Haoyu Yang, Haoxing Ren:
ILILT: Implicit Learning of Inverse Lithography Technologies. CoRR abs/2405.03574 (2024) - [i22]Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu:
PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation. CoRR abs/2406.17810 (2024) - [i21]Yuxin Qiao, Keqin Li, Junhong Lin, Rong Wei, Chufeng Jiang, Yang Luo, Haoyu Yang:
Robust Domain Generalization for Multi-modal Object Recognition. CoRR abs/2408.05831 (2024) - [i20]Guojin Chen, Haoyu Yang, Haoxing Ren, Bei Yu, David Z. Pan:
Differentiable Edge-based OPC. CoRR abs/2408.08969 (2024) - [i19]Guojin Chen, Haoyu Yang, Bei Yu, Haoxing Ren:
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing. CoRR abs/2408.12775 (2024) - 2023
- [j24]Yongfei Liu, Haoyu Yang, Chenwei Wu:
Unveiling Patterns: A Study on Semi-Supervised Classification of Strip Surface Defects. IEEE Access 11: 119933-119946 (2023) - [j23]Haoyu Yang, Yichen Qin, Fan Wang, Yang Li, Feifang Hu:
Balancing covariates in multi-arm trials via adaptive randomization. Comput. Stat. Data Anal. 179: 107642 (2023) - [j22]Lianmeng Jiao, Haoyu Yang, Feng Wang, Zhun-ga Liu, Quan Pan:
DTEC: Decision tree-based evidential clustering for interpretable partition of uncertain data. Pattern Recognit. 144: 109846 (2023) - [j21]Haoyu Yang, Mao Wang, Zhihao Chen, Kaiming Xiao, Xuan Li, Hongbin Huang:
Robust Learning with Noisy Ship Trajectories by Adaptive Noise Rate Estimation. Sensors 23(15): 6723 (2023) - [j20]Ziyi Wang, Zhuolun He, Chen Bai, Haoyu Yang, Bei Yu:
Efficient Arithmetic Block Identification With Graph Learning and Network-Flow. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2591-2603 (2023) - [c42]Zhengyuan Tang, Mengjie Li, Zhicong He, Haoyu Yang:
Research on Economic Data Collection and Analysis Platform Based on Cloud Computing and Internet of Things Technology. AIMSCM 2023: 5 - [c41]Haoyu Yang, Haoxing Ren:
Enabling Scalable AI Computational Lithography with Physics-Inspired Models. ASP-DAC 2023: 715-720 - [c40]Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. DAC 2023: 1-6 - [c39]Mingjie Liu, Haoyu Yang, Brucek Khailany, Haoxing Ren:
An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling. ICCAD 2023: 1-9 - [c38]Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI 2023: 1-11 - [c37]Zheping Yan, Luoyin Zhao, Yuqing Wang, Mingyao Zhang, Haoyu Yang, Chao Zhang:
Path Planning of AUV for Obstacle Avoidance with Improved Artificial Potential Field. IECON 2023: 1-5 - [c36]Yuan He, Haoyu Yang, Huiqian He, Xuejiao Zheng:
Design of smart tourism platform under Double Diamond Model design thinking. ISCID 2023: 100-104 - [c35]Su Zheng, Haoyu Yang, Binwu Zhu, Bei Yu, Martin D. F. Wong:
LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing. NeurIPS 2023 - [c34]Tianhui Shi, Jidong Zhai, Haojie Wang, Qiqian Chen, Mingshu Zhai, Zixu Hao, Haoyu Yang, Wenguang Chen:
GraphSet: High Performance Graph Mining through Equivalent Set Transformations. SC 2023: 32:1-32:14 - [i18]Qinghe Gao, Haoyu Yang, Shachi M. Shanbhag, Artur M. Schweidtmann:
Transfer learning for process design with reinforcement learning. CoRR abs/2302.03375 (2023) - [i17]Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar:
Entity Aware Modelling: A Survey. CoRR abs/2302.08406 (2023) - [i16]Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. CoRR abs/2303.08435 (2023) - [i15]Guojin Chen, Haoyu Yang, Bei Yu:
GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition. CoRR abs/2303.14335 (2023) - 2022
- [j19]Lianmeng Jiao, Haoyu Yang, Zhun-ga Liu, Quan Pan:
Interpretable fuzzy clustering using unsupervised fuzzy decision trees. Inf. Sci. 611: 540-563 (2022) - [j18]Zheping Yan, Haoyu Yang, Wei Zhang, Qingshuo Gong, Fantai Lin, Yu Zhang:
Bionic Fish Trajectory Tracking Based on a CPG and Model Predictive Control. J. Intell. Robotic Syst. 105(2): 29 (2022) - [j17]Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Fan Yang, Xuan Zeng, Bei Yu:
Faster Region-Based Hotspot Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 669-680 (2022) - [j16]Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu:
Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 709-722 (2022) - [j15]Hao Geng, Haoyu Yang, Lu Zhang, Fan Yang, Xuan Zeng, Bei Yu:
Hotspot Detection via Attention-Based Deep Layout Metric Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2685-2698 (2022) - [j14]Guojin Chen, Wanli Chen, Qi Sun, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full-Chip Scale. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3118-3131 (2022) - [j13]Yang An, Liang Zhang, Haoyu Yang, Leilei Sun, Bo Jin, Chuanren Liu, Ruiyun Yu, Xiaopeng Wei:
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks. IEEE Trans. Knowl. Data Eng. 34(11): 5496-5509 (2022) - [c33]Guanxiong Chen, Haoyu Yang, Ian M. Mitchell:
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI. CRV 2022: 24-31 - [c32]Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren:
Generic lithography modeling with dual-band optics-inspired neural networks. DAC 2022: 973-978 - [c31]Haoyu Yang, Kit Fung, Yuxuan Zhao, Yibo Lin, Bei Yu:
Mixed-Cell-Height Legalization on CPU-GPU Heterogeneous Systems. DATE 2022: 784-789 - [c30]Haoyu Yang, Kaiming Xiao, Lihua Liu, Hongbin Huang, Weiming Zhang:
An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas. IJCAI 2022: 4679-4685 - [c29]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM 2022: 91-99 - [i14]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR abs/2202.05714 (2022) - [i13]Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren:
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks. CoRR abs/2203.08616 (2022) - [i12]Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren:
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. CoRR abs/2207.04056 (2022) - [i11]Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren:
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. CoRR abs/2210.15765 (2022) - 2021
- [j12]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI mask optimization: From shallow to deep learning. Integr. 77: 96-103 (2021) - [j11]Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon:
Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. 29(1): 72-79 (2021) - [j10]Haoyu Yang, Shuhe Li, Cyrus Tabery, Bingqing Lin, Bei Yu:
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1464-1475 (2021) - [j9]Haocheng Li, Satwik Patnaik, Mohammed Ashraf, Haoyu Yang, Johann Knechtel, Bei Yu, Ozgur Sinanoglu, Evangeline F. Y. Young:
Deep Learning Analysis for Split-Manufactured Layouts With Routing Perturbation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 1995-2008 (2021) - [j8]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26(5): 40:1-40:46 (2021) - [c28]Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young:
Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. ASP-DAC 2021: 885-891 - [c27]Xiaopeng Zhang, Haoyu Yang, Evangeline F. Y. Young:
Attentional Transfer is All You Need: Technology-aware Layout Pattern Generation. DAC 2021: 169-174 - [c26]Yifeng Xiao, Miaodi Su, Haoyu Yang, Jianli Chen, Jun Yu, Bei Yu:
Low-Cost Lithography Hotspot Detection with Active Entropy Sampling and Model Calibration. DAC 2021: 907-912 - [c25]Zhuolun He, Ziyi Wang, Chen Bai, Haoyu Yang, Bei Yu:
Graph Learning-Based Arithmetic Block Identification. ICCAD 2021: 1-8 - [c24]Haoyu Yang, Zheng Hu, Dongchen Li, Tiancheng Li:
An Effective 3D Indoor Localization Approach Based on Fingerprint Fusion Positioning. ICCAIS 2021: 892-897 - [c23]Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, Bei Yu:
Learning Point Clouds in EDA. ISPD 2021: 55-62 - [i10]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. CoRR abs/2102.03357 (2021) - [i9]Haoyu Yang, Shuhe Li, Bei Yu:
Routing Towards Discriminative Power of Class Capsules. CoRR abs/2103.04278 (2021) - [i8]Guanxiong Chen, Haoyu Yang, Ian M. Mitchell:
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI. CoRR abs/2109.07703 (2021) - 2020
- [j7]Zhiqiang Zou, Haoyu Yang, A-Xing Zhu:
Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data. IEEE Access 8: 24819-24828 (2020) - [j6]Zheping Yan, Haoyu Yang, Wei Zhang, Qingshuo Gong, Fantai Lin:
Research on Motion Mode Switching Method Based on CPG Network Reconstruction. IEEE Access 8: 224871-224883 (2020) - [j5]Haoyu Yang, Shuhe Li, Zihao Deng, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
GAN-OPC: Mask Optimization With Lithography-Guided Generative Adversarial Nets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2822-2834 (2020) - [j4]Hao Geng, Wei Zhong, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu:
SRAF Insertion via Supervised Dictionary Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2849-2859 (2020) - [j3]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection. ACM Trans. Design Autom. Electr. Syst. 25(5): 48:1-48:31 (2020) - [c22]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. ASP-DAC 2020: 434-439 - [c21]Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu:
Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. DAC 2020: 1-6 - [c20]Hao Geng, Haoyu Yang, Lu Zhang, Jin Miao, Fan Yang, Xuan Zeng, Bei Yu:
Hotspot Detection via Attention-based Deep Layout Metric Learning. ICCAD 2020: 16:1-16:8 - [c19]Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full Chip Scale. ICCAD 2020: 19:1-19:9 - [i7]Haocheng Li, Satwik Patnaik, Abhrajit Sengupta, Haoyu Yang, Johann Knechtel, Bei Yu, Evangeline F. Y. Young, Ozgur Sinanoglu:
Attacking Split Manufacturing from a Deep Learning Perspective. CoRR abs/2007.03989 (2020) - [i6]Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full Chip Scale. CoRR abs/2008.00806 (2020) - [i5]Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Teaching deep learning causal effects improves predictive performance. CoRR abs/2011.05466 (2020)
2010 – 2019
- 2019
- [j2]Leilei Sun, Bo Jin, Haoyu Yang, Jianing Tong, Chuanren Liu, Hui Xiong:
Unsupervised EEG feature extraction based on echo state network. Inf. Sci. 475: 1-17 (2019) - [j1]Haoyu Yang, Jing Su, Yi Zou, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1175-1187 (2019) - [c18]Haoyu Yang, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu:
Detecting multi-layer layout hotspots with adaptive squish patterns. ASP-DAC 2019: 299-304 - [c17]Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu:
SRAF insertion via supervised dictionary learning. ASP-DAC 2019: 406-411 - [c16]Haocheng Li, Satwik Patnaik, Abhrajit Sengupta, Haoyu Yang, Johann Knechtel, Bei Yu, Evangeline F. Y. Young, Ozgur Sinanoglu:
Attacking Split Manufacturing from a Deep Learning Perspective. DAC 2019: 135 - [c15]Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Xuan Zeng, Bei Yu:
Faster Region-based Hotspot Detection. DAC 2019: 146 - [c14]Haoyu Yang, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu:
DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder. DAC 2019: 148 - [i4]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. CoRR abs/1906.10773 (2019) - [i3]Haoyu Yang, Wen Chen, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu:
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation. CoRR abs/1912.05796 (2019) - [i2]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. CoRR abs/1912.07254 (2019) - 2018
- [c13]Haoyu Yang, Shuhe Li, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
GAN-OPC: mask optimization with lithography-guided generative adversarial nets. DAC 2018: 131:1-131:6 - [c12]Haoyu Yang, Hongwei Guo, Bingyan Li, Bing Li, Rongqiang Liu:
Parameter Analysis and Design of Annular Deployable Tensegrity Antenna. ICIA 2018: 250-256 - [c11]Zheng An, Haoyu Yang, Haotian Zhou, Yawen Hou:
Review of Important Protein Search Algorithms. ICVISP 2018: 68:1-68:5 - [c10]Hao Geng, Haoyu Yang, Bei Yu, Xingquan Li, Xuan Zeng:
Sparse VLSI Layout Feature Extraction: A Dictionary Learning Approach. ISVLSI 2018: 488-493 - [c9]Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong:
A Treatment Engine by Predicting Next-Period Prescriptions. KDD 2018: 1608-1616 - [i1]Haoyu Yang, Shuhe Li, Cyrus Tabery, Bingqing Lin, Bei Yu:
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning. CoRR abs/1807.06446 (2018) - 2017
- [c8]Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. AAAI 2017: 1367-1373 - [c7]Haoyu Yang, Jing Su, Yi Zou, Bei Yu, Evangeline F. Y. Young:
Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning. DAC 2017: 62:1-62:6 - [c6]Haoyu Yang, Yajun Lin, Bei Yu, Evangeline F. Y. Young:
Lithography hotspot detection: From shallow to deep learning. SoCC 2017: 233-238 - 2016
- [c5]Hang Zhang, Haoyu Yang, Bei Yu, Evangeline F. Y. Young:
VLSI layout hotspot detection based on discriminative feature extraction. APCCAS 2016: 542-545 - [c4]Lejun Gong, Ronggen Yang, Quan Liu, Haoyu Yang, Geng Yang, Kaiyu Jiang:
Extraction of biomedical informtion related to breast cancer using text mining. ICNC-FSKD 2016: 801-805 - [c3]Lejun Gong, Ronggen Yang, Haoyu Yang, Kaiyu Jiang, Zhenjiang Dong, Hong Chen, Geng Yang:
BCISeach: A Searching Platform of Breast Cancer Text Mining for Biomedical Literature. SKG 2016: 158-161 - 2014
- [c2]Haoyu Yang, Chen Wang, Qingkai Shi, Yang Feng, Zhenyu Chen:
Bug Inducing Analysis to Prevent Fault Prone Bug Fixes. SEKE 2014: 620-625 - 2010
- [c1]Haiwei Wu, Haiye Yu, Haoyu Yang, Lei Zhang, Keling Zhang, Huiyu Cui:
Communication Protocols Realization of the Prediction and Evaluation Light Environment Embedded Systems. MVHI 2010: 109-112
Coauthor Index
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