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Zhiguang Wang
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2020 – today
- 2024
- [c31]Zhiqiang Liu, Zhiguang Wang, Xiaoxue Li, Liuyu Zhu, Siying Hu, Qiang Lu:
RAY-Net: A Motorcycle Helmet Detection Method Integrated Auxiliary Correction. ICIC (4) 2024: 86-98 - [c30]Xiaoxue Li, Zhiguang Wang, Zhiqiang Liu, Liuyu Zhu, Saisai Ge, Qiang Lu:
Chinese Event Extraction for Epidemic Prevention and Control Domain. ICIC (12) 2024: 321-333 - [i18]Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang:
Prove Symbolic Regression is NP-hard by Symbol Graph. CoRR abs/2404.13820 (2024) - 2023
- [j15]Jiaming Liu, Mengmeng Guan, Yiwei Xu
, Shuang Zhao, Wei Su, Cuiling Zhang, Zhiguang Wang
, Xiaohui Zhang, Zhongqiang Hu
, Zhuangde Jiang, Ming Liu:
Enhanced Limit-of-Detection of Current Sensor Based on Tunneling Magnetoresistive Effect With Multichips Differential Design. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [c29]Tian Wang
, Zhiguang Wang, Rongliang Wang
, Dawei Li, Qiang Lu:
Contextual Information Augmented Few-Shot Relation Extraction. KSEM (1) 2023: 138-149 - 2022
- [j14]Chi Zhang
, Zhiguang Wang, Baiting Liu, Xiaolei Wang:
Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints. Adv. Multim. 2022: 9595286:1-9595286:12 (2022) - [j13]Zhiguang Wang, Hangyu Zhou, Zhaoyu Wei, Shuai Wei, Honglu Yun, Liyang Dong, Caoyang Yu, Baoheng Yao, Lian Lian:
Design, Implementation, and Characterization of a Novel Positive Buoyancy Autonomous Vehicle. J. Intell. Robotic Syst. 104(4): 62 (2022) - [j12]Qiang Lu
, Congwen Xu, Jake Luo
, Zhiguang Wang:
AB-GEP: Adversarial bandit gene expression programming for symbolic regression. Swarm Evol. Comput. 75: 101197 (2022) - [j11]Liqian Wang
, Jingen Wu
, Jiaming Liu, Ruohao Mao, Mengmeng Guan, Dan Xian, Qi Mao, Chenying Wang, Zhiguang Wang
, Zhuangde Jiang, Zhongqiang Hu
, Ming Liu:
A Magnetic Field Imaging System Based on TMR Sensors for Banknote Recognition. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c28]Baihe He
, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang:
Taylor genetic programming for symbolic regression. GECCO 2022: 946-954 - [c27]Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang:
Exploring hidden semantics in neural networks with symbolic regression. GECCO 2022: 982-990 - [c26]Yongnian Fan
, Zhiguang Wang, Cheng Chen
, Xue Zhang, Qiang Lu:
Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View. ICANN (3) 2022: 200-211 - [c25]Cheng Chen
, Zhiguang Wang, Yongnian Fan, Xue Zhang, Dawei Li, Qiang Lu:
Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks. ICANN (1) 2022: 586-598 - [i17]Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang:
Exploring Hidden Semantics in Neural Networks with Symbolic Regression. CoRR abs/2204.10529 (2022) - [i16]Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang:
Taylor Genetic Programming for Symbolic Regression. CoRR abs/2205.09751 (2022) - 2021
- [j10]Qiang Lu
, Shuo Zhou, Fan Tao, Jake Luo
, Zhiguang Wang:
Enhancing gene expression programming based on space partition and jump for symbolic regression. Inf. Sci. 547: 553-567 (2021) - [j9]Qiang Lu
, Fan Tao, Shuo Zhou, Zhiguang Wang:
Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression. Neural Comput. Appl. 33(14): 8495-8511 (2021) - [j8]Jingen Wu
, Zhongqiang Hu
, Xiangyu Gao
, Miaomiao Cheng, Xinger Zhao, Wei Su, Zhiguang Wang
, Ziyao Zhou, Shuxiang Dong
, Ming Liu
:
A Magnetoelectric Compass for In-Plane AC Magnetic Field Detection. IEEE Trans. Ind. Electron. 68(4): 3527-3536 (2021) - [j7]Zhiguang Wang
, Tao Wen
, Wei Su, Chaojie Hu
, Yicheng Chen, Zhongqiang Hu
, Jingen Wu
, Ziyao Zhou, Ming Liu
:
Magnetic Sensor Based on Giant Magneto-Impedance in Commercial Inductors. IEEE Trans. Ind. Electron. 68(8): 7577-7583 (2021) - [c24]Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul A. Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Pascale Fung, Zhiguang Wang:
Continual Learning in Task-Oriented Dialogue Systems. EMNLP (1) 2021: 7452-7467 - [c23]Zhaojiang Lin, Bing Liu, Andrea Madotto, Seungwhan Moon, Zhenpeng Zhou, Paul A. Crook, Zhiguang Wang, Zhou Yu, Eunjoon Cho, Rajen Subba, Pascale Fung:
Zero-Shot Dialogue State Tracking via Cross-Task Transfer. EMNLP (1) 2021: 7890-7900 - [c22]Congwen Xu, Qiang Lu, Jake Luo
, Zhiguang Wang:
Adversarial bandit gene expression programming for symbolic regression. GECCO Companion 2021: 269-270 - [c21]Bingxu Liu, Zhiguang Wang, Yize Ding, Qiang Lu:
A Model of Chinese Named Entity Recognition in the Field of Oil and Gas Exploration Using Domain Dictionary. ICCSE 2021: 1066-1071 - [c20]Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie:
Adding Chit-Chat to Enhance Task-Oriented Dialogues. NAACL-HLT 2021: 1570-1583 - [c19]Zhaojiang Lin, Bing Liu, Seungwhan Moon, Paul A. Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Andrea Madotto, Eunjoon Cho, Rajen Subba:
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking. NAACL-HLT 2021: 5640-5648 - [i15]Minghao Liu, Shengqi Ren, Siyuan Ma, Jiahui Jiao, Yizhou Chen, Zhiguang Wang, Wei Song:
Gated Transformer Networks for Multivariate Time Series Classification. CoRR abs/2103.14438 (2021) - [i14]Zhaojiang Lin, Bing Liu, Seungwhan Moon, Paul A. Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Andrea Madotto, Eunjoon Cho, Rajen Subba:
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking. CoRR abs/2105.04222 (2021) - [i13]Zhaojiang Lin, Bing Liu, Andrea Madotto, Seungwhan Moon, Paul A. Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Eunjoon Cho, Rajen Subba, Pascale Fung:
Zero-Shot Dialogue State Tracking via Cross-Task Transfer. CoRR abs/2109.04655 (2021) - 2020
- [j6]Yu Bai, Liang Zhao
, Zhiguang Wang, Jianjun Chen, Peng Lian:
Entity Thematic Similarity Measurement for Personal Explainable Searching Services in the Edge Environment. IEEE Access 8: 146220-146232 (2020) - [j5]Qiang Lu
, Rencai Wang, Bin Yang
, Zhiguang Wang:
Trajectory splicing. Knowl. Inf. Syst. 62(4): 1279-1312 (2020) - [c18]Hongying Wen, Zhiguang Wang, Qiang Lu:
Extracting Chinese Domain-specific Open Entity and Relation by Using Learning Patterns. ACM TUR-C 2020: 119-125 - [c17]Pedro Rodriguez
, Paul A. Crook, Seungwhan Moon, Zhiguang Wang:
Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity. EMNLP (1) 2020: 8153-8172 - [i12]Pedro Rodríguez, Paul A. Crook, Seungwhan Moon, Zhiguang Wang:
Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity. CoRR abs/2005.00172 (2020) - [i11]Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie:
Adding Chit-Chats to Enhance Task-Oriented Dialogues. CoRR abs/2010.12757 (2020) - [i10]Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul A. Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Zhiguang Wang:
Continual Learning in Task-Oriented Dialogue Systems. CoRR abs/2012.15504 (2020)
2010 – 2019
- 2019
- [c16]Qiang Lu, Shuo Zhou, Fan Tao, Zhiguang Wang:
Space partition based gene expression programming for symbolic regression. GECCO (Companion) 2019: 348-349 - [c15]Wenchao Hu, Zhiguang Wang:
A Multi-frame Video Interpolation Neural Network for Large Motion. PRCV (2) 2019: 403-415 - 2018
- [c14]Lu Liu, Zhiguang Wang:
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series. AAAI Workshops 2018: 178-184 - [c13]Zhiguang Wang, Jianbo Yang:
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation. AAAI Workshops 2018: 514-521 - [c12]Mohsen Zaeimbashi, Zhiguang Wang, Seung Woo Lee, Sydney Cash, Shelley I. Fried
, Nian Xiang Sun
:
Micro-solenoid inductors with magnetic core for neural stimulation. EMBC 2018: 2230-2233 - 2017
- [j4]Wei Song, Zhiguang Wang, Fan Zhang, Yangdong Ye, Ming Fan:
Empirical study of symbolic aggregate approximation for time series classification. Intell. Data Anal. 21(1): 135-150 (2017) - [c11]Zhiguang Wang, Weizhong Yan, Tim Oates:
Time series classification from scratch with deep neural networks: A strong baseline. IJCNN 2017: 1578-1585 - [i9]Zhiguang Wang, Jianbo Yang:
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation. CoRR abs/1703.10757 (2017) - [i8]Zhiguang Wang, Chul Gwon, Tim Oates, Adam Iezzi:
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning. CoRR abs/1709.04305 (2017) - 2016
- [j3]Qiang Lu, Jun Ren, Zhiguang Wang:
Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem. Comput. Intell. Neurosci. 2016: 1021378:1-1021378:17 (2016) - [c10]Zhiguang Wang, Tim Oates, James Lo:
Adaptive Normalized Risk-Averting Training for Deep Neural Networks. AAAI 2016: 2201-2207 - [i7]Zhiguang Wang, Wei Song, Lu Liu, Fan Zhang, Junxiao Xue, Yangdong Ye, Ming Fan, Mingliang Xu:
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization. CoRR abs/1610.07258 (2016) - [i6]Lu Liu, Zhiguang Wang:
Encoding Temporal Markov Dynamics in Graph for Time Series Visualization. CoRR abs/1610.07273 (2016) - [i5]Zhiguang Wang, Weizhong Yan, Tim Oates:
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline. CoRR abs/1611.06455 (2016) - 2015
- [j2]Chaonong Xu, Chi Zhang, Yongjun Xu, Zhiguang Wang:
A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory. Int. J. Distributed Sens. Networks 11: 820692:1-820692:9 (2015) - [c9]Zhiguang Wang, Tim Oates:
Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data. FLAIRS 2015: 335-341 - [c8]Wei Song, Zhiguang Wang, Yangdong Ye, Ming Fan:
Empirical studies on Symbolic Aggregation approximation under statistical perspectives for knowledge discovery in time series. FSKD 2015: 1040-1046 - [c7]Zhiguang Wang, Tim Oates:
Imaging Time-Series to Improve Classification and Imputation. IJCAI 2015: 3939-3945 - [i4]Zhiguang Wang, Tim Oates:
Imaging Time-Series to Improve Classification and Imputation. CoRR abs/1506.00327 (2015) - [i3]Zhiguang Wang, Tim Oates, James Lo:
Adaptive Normalized Risk-Averting Training For Deep Neural Networks. CoRR abs/1506.02690 (2015) - [i2]Wei Song, Zhiguang Wang, Yangdong Ye, Ming Fan:
Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series. CoRR abs/1506.02732 (2015) - [i1]Zhiguang Wang, Tim Oates:
Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks. CoRR abs/1509.07481 (2015) - 2014
- [c6]Zhiguang Wang, Tim Oates:
Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification. ICMLA 2014: 270-275 - 2012
- [c5]Yuntao Liu, Zhiying Gao, Xueqing Dong, Zhentao Yang, Zheng Chang, Yunzhi Li, Zhiguang Wang:
Primary study on return flow of the central wake area of horizontal axis wind turbine. IC-NIDC 2012: 611-614 - [c4]Yuntao Liu, Zhiying Gao, Zheng Chang, Zhentao Yang, Yunzhi Li, Zhiguang Wang:
Noise source identification test of fan on beamformin. IC-NIDC 2012: 615-618
2000 – 2009
- 2009
- [c3]Zhiguang Wang, He Liu, Ping Zheng, Zhili Pei:
A Weighting Approach for Features Based on Real Rough Set. FSKD (6) 2009: 73-77 - 2008
- [c2]Qiang Lu, Zhiguang Wang, Ming Chen:
An Ant Colony Optimization Algorithm for the One-Dimensional Cutting Stock Problem with Multiple Stock Lengths. ICNC (7) 2008: 475-479 - [c1]Qiang Lu, Ming Chen, Zhiguang Wang:
A Semantic Annotation Based Software Knowledge Sharing Space. NPC Workshops 2008: 504-509 - 2007
- [j1]Hui Guo, Guobin Shen, Zhiguang Wang, Shipeng Li
:
Optimized streaming media proxy and its applications. J. Netw. Comput. Appl. 30(1): 265-281 (2007)
Coauthor Index
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