Haishuai Wang

According to our database, Haishuai Wang authored at least 68 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-view domain-adaptive representation learning for EEG-based emotion recognition.

Chao Li, Ning Bian, Ziping Zhao, Haishuai Wang, Björn W. Schuller

Inf. Fusion, April, 2024

Single depth image 3D face reconstruction via domain adaptive learning.

Xiaoxu Cai, Jianwen Lou, Jiajun Bu, Junyu Dong, Haishuai Wang, Hui Yu

Frontiers Comput. Sci., February, 2024

Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values.

Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang

CoRR, 2024

Less is More : A Closer Look at Multi-Modal Few-Shot Learning.

Chunpeng Zhou, Haishuai Wang, Xilu Yuan, Zhi Yu, Jiajun Bu

CoRR, 2024

2023

RSG-Net: A Recurrent Similarity Network With Ghost Convolution for Wheelset Laser Stripe Image Inpainting.

Zhenyan Ji, Xiaojun Song, Qibo Feng, Haishuai Wang, Chi-Hua Chen, Chin-Chen Chang

IEEE Trans. Intell. Transp. Syst., November, 2023

Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning.

Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu

Neural Networks, October, 2023

Source-free semi-supervised domain adaptation via progressive Mixup.

Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu

Knowl. Based Syst., February, 2023

Dynamic data-free knowledge distillation by easy-to-hard learning strategy.

Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu

Inf. Sci., 2023

Machine learning for trust, security, and privacy in computing and communications.

Chin-Ling Chen, Haishuai Wang, Abel C. H. Chen, Chunjia Han, Yu-Chih Wei, Xiaoyan Li

EURASIP J. Wirel. Commun. Netw., 2023

Heterogeneous Graph Neural Architecture Search with GPT-4.

Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang

CoRR, 2023

Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis.

Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han

CoRR, 2023

Graph Neural Architecture Search with GPT-4.

Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu

CoRR, 2023

Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR.

Chunpeng Zhou, Kangjie Ning, Haishuai Wang, Zhi Yu, Sheng Zhou, Jiajun Bu

CoRR, 2023

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks.

Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu

CoRR, 2023

The 3rd International Workshop on Deep Learning for the Web of Things.

Cheng Shi, Chin-Chen Chang, Eyhab Al-Masri, Abel C. H. Chen, Haishuai Wang, Qichun Zhang, Hsiao-Ting Tseng, K. Shankar, Taehong Kim

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series.

Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Implicit Neural Distance Optimization for Mesh Neural Subdivision.

Ke Liu, Ning Ma, Zhihua Wang, Jingjun Gu, Jiajun Bu, Haishuai Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis.

Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition.

Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Discrete embedding for attributed graphs.

Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang

Pattern Recognit., 2022

Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks.

Haishuai Wang, Guangyu Tao, Jiali Ma, Shangru Jia, Lianhua Chi, Hong Yang, Ziping Zhao, Jianhua Tao

IEEE J. Sel. Top. Signal Process., 2022

Adversarial Training for Predicting the Trend of the COVID-19 Pandemic.

Haishuai Wang, Jiali Ma, Ziping Zhao, Zhenyi Jia, Zhenyan Ji, Jun Wu

J. Database Manag., 2022

DLWoT'22: 2nd International Workshop on Deep Learning for the Web of Things.

Wenzhong Guo, Chin-Chen Chang, Eyhab Al-Masri, Chi-Hua Chen, Haishuai Wang, Qichun Zhang, K. Shankar

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Hilbert Distillation for Cross-Dimensionality Networks.

Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network.

Ziping Zhao, Zhen Gong, Mingyue Niu, Jiali Ma, Haishuai Wang, Zixing Zhang, Ya Li

Proceedings of the IEEE International Conference on Acoustics, 2022

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks.

Chao Li, Yong Sheng, Haishuai Wang, Mingyue Niu, Peiguang Jing, Ziping Zhao, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Self-attention transfer networks for speech emotion recognition.

Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Shihuang Sun, Haishuai Wang, Jianhua Tao, Björn W. Schuller

Virtual Real. Intell. Hardw., 2021

Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition.

Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller

Neural Networks, 2021

Towards embedding information diffusion data for understanding big dynamic networks.

Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan

Neurocomputing, 2021

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach.

Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Crawler Detection in Location-Based Services Using Attributed Action Net.

Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.

Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Semi-Discrete Social Recommendation (Student Abstract).

Fangyuan Luo, Jun Wu, Haishuai Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Social Recommendation With Evolutionary Opinion Dynamics.

Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2020

Time-Variant Graph Classification.

Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2020

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders.

Ziping Zhao, Zhongtian Bao, Zixing Zhang, Jun Deng, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller

IEEE J. Sel. Top. Signal Process., 2020

Semi-discrete Matrix Factorization.

Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang

IEEE Intell. Syst., 2020

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.

Panpan Wu, Xuanchao Sun, Ziping Zhao, Haishuai Wang, Shirui Pan, Björn W. Schuller

Comput. Intell. Neurosci., 2020

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen

IEEE Access, 2020

Hybrid Network Feature Extraction for Depression Assessment from Speech.

Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang, Jianhua Tao, Björn W. Schuller

Proceedings of the Interspeech 2020, 2020

Hierarchical Attention Transfer Networks for Depression Assessment from Speech.

Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification.

Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Shapelet Patterns from Network-Based Time Series.

Haishuai Wang, Jia Wu, Peng Zhang, Yixin Chen

IEEE Trans. Ind. Informatics, 2019

Time series feature learning with labeled and unlabeled data.

Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen

Pattern Recognit., 2019

Neural Binary Representation Learning for Large-Scale Collaborative Filtering.

Yujia Zhang, Jun Wu, Haishuai Wang

IEEE Access, 2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.

Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang

IEEE Access, 2019

Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition.

Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller

Proceedings of the Interspeech 2019, 2019

Autism Screening Using Deep Embedding Representation.

Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

Haishuai Wang, Zhicheng Cui, Yixin Chen, Michael Avidan, Arbi Ben Abdallah, Alexander Kronzer

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Binary Collaborative Filtering Ensemble.

Yujia Zhang, Jun Wu, Haishuai Wang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition.

Ziping Zhao, Yu Zheng, Zixing Zhang, Haishuai Wang, Yiqin Zhao, Chao Li

Proceedings of the Interspeech 2018, 2018

2017

Incremental Subgraph Feature Selection for Graph Classification.

Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2017

Towards large-scale social networks with online diffusion provenance detection.

Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen

Comput. Networks, 2017

A Fast Interactive Item-Based Collaborative Filtering Algorithm.

Zhenyan Ji, Zhi Zhang, Canzhen Zhou, Haishuai Wang

Proceedings of the Theoretical Computer Science - 35th National Conference, 2017

A Survey of Personalised Image Retrieval and Recommendation.

Zhenyan Ji, Weina Yao, Huaiyu Pi, Wei Lu, Jing He, Haishuai Wang

Proceedings of the Theoretical Computer Science - 35th National Conference, 2017

Universal network representation for heterogeneous information networks.

Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Clickthrough refinement for improved graph ranking.

Yu He, Jun Wu, Haishuai Wang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Boosting for Real-Time Multivariate Time Series Classification.

Haishuai Wang, Jun Wu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Time-variant graph learning and classification

Haishuai Wang

PhD thesis, 2016

Time-Variant Graph Classification.

Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang

CoRR, 2016

Mining subcascade features for cascade outbreak prediction in big networks.

Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolutionary lazy learning for Naive Bayes classification.

Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?

Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai

Int. J. Comput. Intell. Syst., 2015

Online diffusion source detection in social networks.

Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.

Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Defragging Subgraph Features for Graph Classification.

Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams.

Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang

Proceedings of the Databases Theory and Applications, 2015

2014

Learning with both unlabeled data and query logs for image search.

Jun Wu, Zhi-Bo Xiao, Haishuai Wang, Hong Shen

Comput. Electr. Eng., 2014