| 2026 | EuroPar | Realizable N:M Sparse Transformer Inference via Search-Kernel Co-design. | Yiming Liu, Wenqi Lou, Zhiguang Wang, Zhiwei Ke, Fengrui Zuo, Chao Wang, Xuehai Zhou |
| 2026 | SIGIR | HE-DeepFM: An FHE Inference System for CTR Prediction with Efficient FM Interactions. | Qiyue Su, Hang Gu, Zhiguang Wang, Teng Wang, Zhendong Zheng, Qianyu Cheng, Lei Gong, Chao Wang |
| 2025 | IJCNN | LOPD: A Low-illumination Scene Occluded Pedestrian Detection Model Based on Domain Adaptation. | Liuyu Zhu, Zhiguang Wang, Yongsheng Hou, Zhiqiang Liu, Shen Li, Xiaoxue Li |
| 2024 | IJCNN | 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 |
| 2024 | PPSN | Symbol Graph Genetic Programming for Symbolic Regression. | Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang |
| 2023 | ICANN | CLASPPNet: A Cross-Layer Multi-class Lane Semantic Segmentation Model Fused with Lane Detection Module. | Chao Huang, Zhiguang Wang, Yongnian Fan, Kai Liu, Qiang Lu |
| 2023 | ICANN | Hierarchical Diachronic Embedding of Knowledge Graph Combined with Fragmentary Information Filtering. | Kai Liu, Zhiguang Wang, Yixuan Yang, Chao Huang, Min Niu, Qiang Lu |
| 2023 | KSEM | Contextual Information Augmented Few-Shot Relation Extraction. | Tian Wang, Zhiguang Wang, Rongliang Wang, Dawei Li, Qiang Lu |
| 2022 | GECCO | Taylor genetic programming for symbolic regression. | Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang |
| 2022 | GECCO | Exploring hidden semantics in neural networks with symbolic regression. | Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang |
| 2022 | ICANN | Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks. | Cheng Chen, Zhiguang Wang, Yongnian Fan, Xue Zhang, Dawei Li, Qiang Lu |
| 2022 | ICANN | Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View. | Yongnian Fan, Zhiguang Wang, Cheng Chen, Xue Zhang, Qiang Lu |
| 2021 | EMNLP | 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, Eunjoon Cho, Rajen Subba, Pascale Fung |
| 2021 | EMNLP | Continual Learning in Task-Oriented Dialogue Systems. | Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul A. Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Pascale Fung, Zhiguang Wang |
| 2021 | GECCO | Adversarial bandit gene expression programming for symbolic regression. | Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang |
| 2021 | NAACL | 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 |
| 2021 | NAACL | Adding Chit-Chat to Enhance Task-Oriented Dialogues. | Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie |
| 2020 | EMNLP | Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity. | Pedro Rodriguez, Paul A. Crook, Seungwhan Moon, Zhiguang Wang |
| 2019 | GECCO | Space partition based gene expression programming for symbolic regression. | Qiang Lu, Shuo Zhou, Fan Tao, Zhiguang Wang |
| 2018 | AAAI | Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series. | Lu Liu, Zhiguang Wang |
| 2018 | AAAI | Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation. | Zhiguang Wang, Jianbo Yang |
| 2017 | IJCNN | Time series classification from scratch with deep neural networks: A strong baseline. | Zhiguang Wang, Weizhong Yan, Tim Oates |
| 2016 | AAAI | Adaptive Normalized Risk-Averting Training for Deep Neural Networks. | Zhiguang Wang, Tim Oates, James Lo |
| 2015 | FlAIRS | Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data. | Zhiguang Wang, Tim Oates |
| 2015 | IJCAI | Imaging Time-Series to Improve Classification and Imputation. | Zhiguang Wang, Tim Oates |
| 2014 | ICMLA | Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification. | Zhiguang Wang, Tim Oates |
| 2008 | ICNC | An Ant Colony Optimization Algorithm for the One-Dimensional Cutting Stock Problem with Multiple Stock Lengths. | Qiang Lu, Zhiguang Wang, Ming Chen |
| 2008 | NPC | A Semantic Annotation Based Software Knowledge Sharing Space. | Qiang Lu, Ming Chen, Zhiguang Wang |