Optimized streaming media proxy and its applications. - Hui Guo; Guobin Shen; Zhiguang Wang; Shipeng Li 001 (J. Netw. Comput. Appl., 2007)

An Ant Colony Optimization Algorithm for the One-Dimensional Cutting Stock Problem with Multiple Stock Lengths. - Qiang Lu; Zhiguang Wang; Ming Chen (ICNC (7), 2008)

A Semantic Annotation Based Software Knowledge Sharing Space. - Qiang Lu; Ming Chen; Zhiguang Wang (NPC Workshops, 2008)

A Weighting Approach for Features Based on Real Rough Set. - Zhiguang Wang; He Liu; Ping Zheng; Zhili Pei (FSKD (6), 2009)

Noise source identification test of fan on beamformin. - Yuntao Liu 003; Zhiying Gao; Zheng Chang; Zhentao Yang; Yunzhi Li; Zhiguang Wang (IC-NIDC, 2012)

Primary study on return flow of the central wake area of horizontal axis wind turbine. - Yuntao Liu 003; Zhiying Gao; Xueqing Dong; Zhentao Yang; Zheng Chang; Yunzhi Li; Zhiguang Wang (IC-NIDC, 2012)

Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification. - Zhiguang Wang; Tim Oates 001 (ICMLA, 2014)

Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data. - Zhiguang Wang; Tim Oates 001 (FLAIRS, 2015)

Empirical studies on Symbolic Aggregation approximation under statistical perspectives for knowledge discovery in time series. - Wei Song; Zhiguang Wang; Yangdong Ye; Ming Fan (FSKD, 2015)

Imaging Time-Series to Improve Classification and Imputation. - Zhiguang Wang; Tim Oates 001 (IJCAI, 2015)

Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks. - Zhiguang Wang; Tim Oates 001 (CoRR, 2015)

A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory. - Chaonong Xu; Chi Zhang; Yongjun Xu 001; Zhiguang Wang (Int. J. Distributed Sens. Networks, 2015)

Adaptive Normalized Risk-Averting Training for Deep Neural Networks. - Zhiguang Wang; Tim Oates 001; James Lo (AAAI, 2016)

Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem. - Qiang Lu 005; Jun Ren; Zhiguang Wang (Comput. Intell. Neurosci., 2016)

Encoding Temporal Markov Dynamics in Graph for Time Series Visualization. - Lu Liu; Zhiguang Wang (CoRR, 2016)

Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization. - Zhiguang Wang; Wei Song; Lu Liu; Fan Zhang; Junxiao Xue; Yangdong Ye; Ming Fan; Mingliang Xu 001 (CoRR, 2016)

Time series classification from scratch with deep neural networks: A strong baseline. - Zhiguang Wang; Weizhong Yan; Tim Oates 001 (IJCNN, 2017)

Automated Cloud Provisioning on AWS using Deep Reinforcement Learning. - Zhiguang Wang; Chul Gwon; Tim Oates 001; Adam Iezzi (CoRR, 2017)

Empirical study of symbolic aggregate approximation for time series classification. - Wei Song; Zhiguang Wang; Fan Zhang; Yangdong Ye; Ming Fan (Intell. Data Anal., 2017)

Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series. - Lu Liu; Zhiguang Wang (AAAI Workshops, 2018)

Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation. - Zhiguang Wang; Jianbo Yang (AAAI Workshops, 2018)

Micro-solenoid inductors with magnetic core for neural stimulation. - Mohsen Zaeimbashi; Zhiguang Wang; Seung Woo Lee; Sydney Cash; Shelley I. Fried; Nian Xiang Sun (EMBC, 2018)

Space partition based gene expression programming for symbolic regression. - Qiang Lu 005; Shuo Zhou; Fan Tao; Zhiguang Wang (GECCO (Companion), 2019)

A Multi-frame Video Interpolation Neural Network for Large Motion. - Wenchao Hu; Zhiguang Wang (PRCV (2), 2019)

Extracting Chinese Domain-specific Open Entity and Relation by Using Learning Patterns. - Hongying Wen; Zhiguang Wang; Qiang Lu 005 (ACM TUR-C, 2020)

Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity. - Pedro Rodriguez 001; Paul A. Crook; Seungwhan Moon; Zhiguang Wang (EMNLP (1), 2020)

Entity Thematic Similarity Measurement for Personal Explainable Searching Services in the Edge Environment. - Yu Bai 002; Liang Zhao 004; Zhiguang Wang; Jianjun Chen; Peng Lian (IEEE Access, 2020)

Adding Chit-Chats to Enhance Task-Oriented Dialogues. - Kai Sun 006; Seungwhan Moon; Paul A. Crook; Stephen Roller; Becka Silvert; Bing Liu; Zhiguang Wang; Honglei Liu; Eunjoon Cho; Claire Cardie (CoRR, 2020)

Continual Learning in Task-Oriented Dialogue Systems. - Andrea Madotto; Zhaojiang Lin; Zhenpeng Zhou; Seungwhan Moon; Paul A. Crook; Bing Liu; Zhou Yu; Eunjoon Cho; Zhiguang Wang (CoRR, 2020)

Trajectory splicing. - Qiang Lu 005; Rencai Wang; Bin Yang 002; Zhiguang Wang (Knowl. Inf. Syst., 2020)

Zero-Shot Dialogue State Tracking via Cross-Task Transfer. - Zhaojiang Lin; Bing Liu; Andrea Madotto; Seungwhan Moon; Zhenpeng Zhou; Paul A. Crook; Zhiguang Wang; Zhou Yu 005; Eunjoon Cho; Rajen Subba; Pascale Fung (EMNLP (1), 2021)

Continual Learning in Task-Oriented Dialogue Systems. - Andrea Madotto; Zhaojiang Lin; Zhenpeng Zhou; Seungwhan Moon; Paul A. Crook; Bing Liu; Zhou Yu 005; Eunjoon Cho; Pascale Fung; Zhiguang Wang (EMNLP (1), 2021)

Adversarial bandit gene expression programming for symbolic regression. - Congwen Xu; Qiang Lu 005; Jake Luo; Zhiguang Wang (GECCO Companion, 2021)

A Model of Chinese Named Entity Recognition in the Field of Oil and Gas Exploration Using Domain Dictionary. - Bingxu Liu; Zhiguang Wang; Yize Ding; Qiang Lu 005 (ICCSE, 2021)

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking. - Zhaojiang Lin; Bing Liu; Seungwhan Moon; Paul A. Crook; Zhenpeng Zhou; Zhiguang Wang; Zhou Yu; Andrea Madotto; Eunjoon Cho; Rajen Subba (NAACL-HLT, 2021)

Adding Chit-Chat to Enhance Task-Oriented Dialogues. - Kai Sun 006; Seungwhan Moon; Paul A. Crook; Stephen Roller; Becka Silvert; Bing Liu; Zhiguang Wang; Honglei Liu; Eunjoon Cho; Claire Cardie (NAACL-HLT, 2021)

Gated Transformer Networks for Multivariate Time Series Classification. - Minghao Liu 008; Shengqi Ren; Siyuan Ma; Jiahui Jiao; Yizhou Chen; Zhiguang Wang; Wei Song (CoRR, 2021)

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking. - Zhaojiang Lin; Bing Liu; Seungwhan Moon; Paul A. Crook; Zhenpeng Zhou; Zhiguang Wang; Zhou Yu; Andrea Madotto; Eunjoon Cho; Rajen Subba (CoRR, 2021)

Enhancing gene expression programming based on space partition and jump for symbolic regression. - Qiang Lu 005; Shuo Zhou; Fan Tao; Jake Luo; Zhiguang Wang (Inf. Sci., 2021)

Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression. - Qiang Lu 005; Fan Tao; Shuo Zhou; Zhiguang Wang (Neural Comput. Appl., 2021)

Magnetic Sensor Based on Giant Magneto-Impedance in Commercial Inductors. - Zhiguang Wang; Tao Wen; Wei Su; Chaojie Hu; Yicheng Chen; Zhongqiang Hu; Jingen Wu; Ziyao Zhou; Ming Liu (IEEE Trans. Ind. Electron., 2021)

A Magnetoelectric Compass for In-Plane AC Magnetic Field Detection. - Jingen Wu; Zhongqiang Hu; Xiangyu Gao; Miaomiao Cheng; Xinger Zhao; Wei Su; Zhiguang Wang; Ziyao Zhou; Shuxiang Dong; Ming Liu (IEEE Trans. Ind. Electron., 2021)

Taylor genetic programming for symbolic regression. - Baihe He; Qiang Lu 005; Qingyun Yang; Jake Luo; Zhiguang Wang (GECCO, 2022)

Exploring hidden semantics in neural networks with symbolic regression. - Yuanzhen Luo; Qiang Lu 005; Xilei Hu; Jake Luo; Zhiguang Wang (GECCO, 2022)

Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks. - Cheng Chen; Zhiguang Wang; Yongnian Fan; Xue Zhang; Dawei Li; Qiang Lu 005 (ICANN (1), 2022)

Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View. - Yongnian Fan; Zhiguang Wang; Cheng Chen; Xue Zhang; Qiang Lu 005 (ICANN (3), 2022)

Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints. - Chi Zhang; Zhiguang Wang; Baiting Liu; Xiaolei Wang (Adv. Multim., 2022)

Design, Implementation, and Characterization of a Novel Positive Buoyancy Autonomous Vehicle. - Zhiguang Wang; Hangyu Zhou; Zhaoyu Wei; Shuai Wei; Honglu Yun; Liyang Dong; Caoyang Yu; Baoheng Yao; Lian Lian (J. Intell. Robotic Syst., 2022)

AB-GEP: Adversarial bandit gene expression programming for symbolic regression. - Qiang Lu 005; Congwen Xu; Jake Luo; Zhiguang Wang (Swarm Evol. Comput., 2022)

A Magnetic Field Imaging System Based on TMR Sensors for Banknote Recognition. - Liqian Wang; Jingen Wu; Jiaming Liu; Ruohao Mao; Mengmeng Guan; Dan Xian; Qi Mao; Chenying Wang; Zhiguang Wang; Zhuangde Jiang; Zhongqiang Hu; Ming Liu (IEEE Trans. Instrum. Meas., 2022)

CLASPPNet: A Cross-Layer Multi-class Lane Semantic Segmentation Model Fused with Lane Detection Module. - Chao Huang; Zhiguang Wang; Yongnian Fan; Kai Liu 031; Qiang Lu (ICANN (2), 2023)

Hierarchical Diachronic Embedding of Knowledge Graph Combined with Fragmentary Information Filtering. - Kai Liu 031; Zhiguang Wang; Yixuan Yang; Chao Huang; Min Niu; Qiang Lu (ICANN (4), 2023)

Contextual Information Augmented Few-Shot Relation Extraction. - Tian Wang; Zhiguang Wang; Rongliang Wang; Dawei Li; Qiang Lu (KSEM (1), 2023)

Enhanced Limit-of-Detection of Current Sensor Based on Tunneling Magnetoresistive Effect With Multichips Differential Design. - Jiaming Liu; Mengmeng Guan; Yiwei Xu; Shuang Zhao; Wei Su; Cuiling Zhang; Zhiguang Wang; Xiaohui Zhang; Zhongqiang Hu; Zhuangde Jiang; Ming Liu (IEEE Trans. Instrum. Meas., 2023)

Chinese Event Extraction for Epidemic Prevention and Control Domain. - Xiaoxue Li; Zhiguang Wang; Zhiqiang Liu; Liuyu Zhu; Saisai Ge; Qiang Lu (ICIC (12), 2024)

RAY-Net: A Motorcycle Helmet Detection Method Integrated Auxiliary Correction. - Zhiqiang Liu; Zhiguang Wang; Xiaoxue Li; Liuyu Zhu; Siying Hu; Qiang Lu (ICIC (4), 2024)

Data Augmentation with Knowledge Graph-to-Text and Virtual Adversary for Specialized-Domain Chinese NER. - Siying Hu; Zhiguang Wang; Bingbin Zhang; Tian Wang; Zhiqiang Liu; Qiang Lu (IJCNN, 2024)

Symbol Graph Genetic Programming for Symbolic Regression. - Jinglu Song; Qiang Lu 005; Bozhou Tian; Jingwen Zhang; Jake Luo; Zhiguang Wang (PPSN (1), 2024)

Prove Symbolic Regression is NP-hard by Symbol Graph. - Jinglu Song; Qiang Lu 005; Bozhou Tian; Jingwen Zhang; Jake Luo; Zhiguang Wang (CoRR, 2024)

LASDTab: A Complex Chinese Engineering Table Parsing Method Based on Local Attention and Semantic-Aware Unified Decoder. - Xiaoxue Li; Zhiqiang Liu; Ruobing Liu; Jing Zhou; Zhiguang Wang; Qiang Lu (ICIC (16), 2025)

Embedding neural sampling and adversarial bandit into gene expression programming for symbolic regression. - Qiang Lu 005; Qiuchen Yuan; Dawei Li; Congwen Xu; Jake Luo; Zhiguang Wang (Appl. Soft Comput., 2025)

Deep Differentiable Symbolic Regression Neural Network. - Qiang Lu 005; Yuanzhen Luo; Haoyang Li; Jake Luo; Zhiguang Wang (Neurocomputing, 2025)

Discovering Acoustic Impedance Inversion Equation. - Baimou Li; Qiang Lu 005; Jake Luo; Zhiguang Wang (IEEE Trans. Geosci. Remote. Sens., 2025)

GraphCKSA: Innovative dual-strategy GNN for imbalanced node classification with CENN-KCQ resampling and dual-view edge optimization. - Liying Zhang; Lumeng Chen; Tianbo Zou; Zhiguang Wang; Xinzhu Zheng (Appl. Intell., 2025)

Time-RA: Towards Time Series Reasoning for Anomaly with LLM Feedback. - Yiyuan Yang; Zichuan Liu; Lei Song; Kai Ying; Zhiguang Wang; Tom Bamford; Svitlana Vyetrenko; Jiang Bian 001; Qingsong Wen (CoRR, 2025)