Haishuai Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 84

Top Topics

Emotion Recognition

Top Venues

Neural Networks

Publications

Hui Fang, Zhu Xiao, Pengfei Zheng, Hongyang Chen, Zhao Li, Jiajun Bu, Haishuai Wang
Learning Co-occurrence Patterns for Next Destination Recommendation. IEEE Trans. Mob. Comput. 23 (6) (2024)
Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhi-Hua Wang, Jiajun Bu, Haishuai Wang
Attention Beats Linear for Fast Implicit Neural Representation Generation. CoRR (2024)
Chunpeng Zhou, Haishuai Wang, Xilu Yuan, Zhi Yu, Jiajun Bu
Less is More : A Closer Look at Multi-Modal Few-Shot Learning. CoRR (2024)
Xiaoxu Cai, Jianwen Lou, Jiajun Bu, Junyu Dong, Haishuai Wang, Hui Yu
Single depth image 3D face reconstruction via domain adaptive learning. Frontiers Comput. Sci. 18 (1) (2024)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE (2024)
Chao Li, Ning Bian, Ziping Zhao, Haishuai Wang, Björn W. Schuller
Multi-view domain-adaptive representation learning for EEG-based emotion recognition. Inf. Fusion 104 (2024)
Xin Jie, Xixi Zhou, Chanfei Su, Zijun Zhou, Yuqing Yuan, Jiajun Bu, Haishuai Wang
Disentangled Anomaly Detection For Multivariate Time Series. WWW (Companion Volume) (2024)
Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu
AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation. Neural Networks 177 (2024)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa T. Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR (2024)
Xixi Zhou, Xin Jie, Sheng Zhou, Keyue Shi, Zhi Yu, Jiajun Bu, Haishuai Wang
Inversive-Reasoning Augmentation for Natural Language Inference. ICASSP (2024)
Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR (2024)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106 (2024)
Xixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang
EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. SIGIR (2024)
Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR (2024)
Mathias Hoy Talbo, Haishuai Wang, Lianhua Chi, Yi-Ping Phoebe Chen
Validating Siamese embedded neural networks with identical representations for efficient model convergence. Knowl. Based Syst. 286 (2024)
Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou, Jiajun Bu
Structure enhanced prototypical alignment for unsupervised cross-domain node classification. Neural Networks 177 (2024)
Ke Liu, Ning Ma, Zhihua Wang, Jingjun Gu, Jiajun Bu, Haishuai Wang
Implicit Neural Distance Optimization for Mesh Neural Subdivision. ICME (2023)
Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller
hierarchical network with decoupled knowledge distillation for speech emotion recognition. CoRR (2023)
Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. NeurIPS (2023)
Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu
Dynamic data-free knowledge distillation by easy-to-hard learning strategy. Inf. Sci. 642 (2023)
Chunpeng Zhou, Kangjie Ning, Haishuai Wang, Zhi Yu, Sheng Zhou, Jiajun Bu
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR. CoRR (2023)
Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller
Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition. ICASSP (2023)
Chin-Ling Chen, Haishuai Wang, Abel C. H. Chen, Chunjia Han, Yu-Chih Wei, Xiaoyan Li
Machine learning for trust, security, and privacy in computing and communications. EURASIP J. Wirel. Commun. Netw. 2023 (1) (2023)
Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. CoRR (2023)
Ziping Zhao, Tian Gao, Haishuai Wang, Björn W. Schuller
SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition. INTERSPEECH (2023)
Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. CoRR (2023)
Zhenyan Ji, Xiaojun Song, Qibo Feng, Haishuai Wang, Chi-Hua Chen, Chin-Chen Chang
RSG-Net: A Recurrent Similarity Network With Ghost Convolution for Wheelset Laser Stripe Image Inpainting. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Cheng Shi, Chin-Chen Chang, Eyhab Al-Masri, Abel C. H. Chen, Haishuai Wang, Qichun Zhang, Hsiao-Ting Tseng, K. Shankar, Taehong Kim
The 3rd International Workshop on Deep Learning for the Web of Things. WWW (Companion Volume) (2023)
Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu
Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. Neural Networks 167 (2023)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR (2023)
Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu
Source-free semi-supervised domain adaptation via progressive Mixup. Knowl. Based Syst. 262 (2023)
Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. ICCV (2023)
Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang
Heterogeneous Graph Neural Architecture Search with GPT-4. CoRR (2023)
Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu
Graph Neural Architecture Search with GPT-4. CoRR (2023)
Chao Li, Yong Sheng, Haishuai Wang, Mingyue Niu, Peiguang Jing, Ziping Zhao, Björn W. Schuller
EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. EMBC (2022)
Haishuai Wang, Jiali Ma, Ziping Zhao, Zhenyi Jia, Zhenyan Ji, Jun Wu
Adversarial Training for Predicting the Trend of the COVID-19 Pandemic. J. Database Manag. 33 (1) (2022)
Wenzhong Guo, Chin-Chen Chang, Eyhab Al-Masri, Chi-Hua Chen, Haishuai Wang, Qichun Zhang, K. Shankar
DLWoT'22: 2nd International Workshop on Deep Learning for the Web of Things. WWW (Companion Volume) (2022)
Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang
Discrete embedding for attributed graphs. Pattern Recognit. 123 (2022)
Ziping Zhao, Zhen Gong, Mingyue Niu, Jiali Ma, Haishuai Wang, Zixing Zhang, Ya Li
Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. ICASSP (2022)
Haishuai Wang, Guangyu Tao, Jiali Ma, Shangru Jia, Lianhua Chi, Hong Yang, Ziping Zhao, Jianhua Tao
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
Hilbert Distillation for Cross-Dimensionality Networks. NeurIPS (2022)
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
Hilbert Distillation for Cross-Dimensionality Networks. CoRR (2022)
Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. Neural Networks 141 (2021)
Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. CIKM (2021)
Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan
Towards embedding information diffusion data for understanding big dynamic networks. Neurocomputing 466 (2021)
Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li
Crawler Detection in Location-Based Services Using Attributed Action Net. CIKM (2021)
Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. KDD (2021)
Fangyuan Luo, Jun Wu, Haishuai Wang
Semi-Discrete Social Recommendation (Student Abstract). AAAI (2021)
Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Shihuang Sun, Haishuai Wang, Jianhua Tao, Björn W. Schuller
Self-attention transfer networks for speech emotion recognition. Virtual Real. Intell. Hardw. 3 (1) (2021)
Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang
Time-Variant Graph Classification. IEEE Trans. Syst. Man Cybern. Syst. 50 (8) (2020)
Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. AAAI (2020)
Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. IEEE Access 8 (2020)
Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang
Social Recommendation With Evolutionary Opinion Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 50 (10) (2020)
Panpan Wu, Xuanchao Sun, Ziping Zhao, Haishuai Wang, Shirui Pan, Björn W. Schuller
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning. Comput. Intell. Neurosci. 2020 (2020)
Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller
Hierarchical Attention Transfer Networks for Depression Assessment from Speech. ICASSP (2020)
Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang, Jianhua Tao, Björn W. Schuller
Hybrid Network Feature Extraction for Depression Assessment from Speech. INTERSPEECH (2020)
Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang
Semi-discrete Matrix Factorization. IEEE Intell. Syst. 35 (5) (2020)
Ziping Zhao, Zhongtian Bao, Zixing Zhang, Jun Deng, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller
Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. IEEE J. Sel. Top. Signal Process. 14 (2) (2020)
Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. CoRR (2019)
Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. INTERSPEECH (2019)
Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7 (2019)
Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao
Autism Screening Using Deep Embedding Representation. ICCS (2) (2019)
Haishuai Wang, Jia Wu, Peng Zhang, Yixin Chen
Learning Shapelet Patterns from Network-Based Time Series. IEEE Trans. Ind. Informatics 15 (7) (2019)
Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen
Time series feature learning with labeled and unlabeled data. Pattern Recognit. 89 (2019)
Yujia Zhang, Jun Wu, Haishuai Wang
Neural Binary Representation Learning for Large-Scale Collaborative Filtering. IEEE Access 7 (2019)
Haishuai Wang, Zhicheng Cui, Yixin Chen, Michael Avidan, Arbi Ben Abdallah, Alexander Kronzer
Predicting Hospital Readmission via Cost-Sensitive Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Ziping Zhao, Yu Zheng, Zixing Zhang, Haishuai Wang, Yiqin Zhao, Chao Li
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. INTERSPEECH (2018)
Yujia Zhang, Jun Wu, Haishuai Wang
Binary Collaborative Filtering Ensemble. PRICAI (1) (2018)
Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long
Universal Network Representation for Heterogeneous Information Networks. CoRR (2018)
Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen
Towards large-scale social networks with online diffusion provenance detection. Comput. Networks 114 (2017)
Zhenyan Ji, Weina Yao, Huaiyu Pi, Wei Lu, Jing He, Haishuai Wang
A Survey of Personalised Image Retrieval and Recommendation. NCTCS (2017)
Yu He, Jun Wu, Haishuai Wang
Clickthrough refinement for improved graph ranking. IJCNN (2017)
Haishuai Wang, Jun Wu
Boosting for Real-Time Multivariate Time Series Classification. AAAI (2017)
Zhenyan Ji, Zhi Zhang, Canzhen Zhou, Haishuai Wang
A Fast Interactive Item-Based Collaborative Filtering Algorithm. NCTCS (2017)
Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long
Universal network representation for heterogeneous information networks. IJCNN (2017)
Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long
Evolutionary lazy learning for Naive Bayes classification. IJCNN (2016)
Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu
Mining subcascade features for cascade outbreak prediction in big networks. IJCNN (2016)
Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang
Time-Variant Graph Classification. CoRR (2016)
Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang
Defragging Subgraph Features for Graph Classification. CIKM (2015)
Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang
SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC (2015)
Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. ICONIP (4) (2015)
Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai
Locally Weighted Learning: How and When Does it Work in Bayesian Networks? Int. J. Comput. Intell. Syst. 8 (sup1) (2015)
Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang
Online diffusion source detection in social networks. IJCNN (2015)
Jun Wu, Zhi-Bo Xiao, Haishuai Wang, Hong Shen
Learning with both unlabeled data and query logs for image search. Comput. Electr. Eng. 40 (3) (2014)