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2020 – today
- 2025
[j35]Chunpeng Zhou
, Zhi Yu, Xilu Yuan, Sheng Zhou, Jiajun Bu, Haishuai Wang:
Less is more: A closer look at semantic-based few-shot learning. Inf. Fusion 114: 102672 (2025)- 2024
- [j34]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): 181342 (2024) - [j33]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: 102156 (2024) - [j32]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: 102255 (2024) - [j31]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: 111379 (2024) - [j30]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: 106386 (2024) - [j29]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: 106396 (2024) - [j28]Chao Li, Feng Wang, Ziping Zhao, Haishuai Wang, Björn W. Schuller:
Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics 28(10): 5755-5767 (2024) - [j27]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): 7225-7237 (2024) - [c38]Xixi Zhou, Xin Jie, Sheng Zhou, Keyue Shi, Zhi Yu, Jiajun Bu, Haishuai Wang:
Inversive-Reasoning Augmentation for Natural Language Inference. ICASSP 2024: 10351-10355 - [c37]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: 1199-1212 - [c36]Chenrui Wu, Haishuai Wang, Xiang Zhang, Zhen Fang, Jiajun Bu:
Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training. ACM Multimedia 2024: 2613-2622 - [c35]Xixi Zhou, Chunbin Gu, Xin Jie, Jiajun Bu, Haishuai Wang:
Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings. NAACL-HLT (Findings) 2024: 1274-1280 - [c34]Xixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang:
EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. SIGIR 2024: 2374-2378 - [c33]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: 931-934 - [i17]Chunpeng Zhou, Haishuai Wang, Xilu Yuan, Zhi Yu, Jiajun Bu:
Less is More : A Closer Look at Multi-Modal Few-Shot Learning. CoRR abs/2401.05010 (2024) - [i16]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. CoRR abs/2401.05800 (2024) - [i15]Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu:
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR abs/2404.16366 (2024) - [i14]Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu:
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR abs/2406.00452 (2024) - [i13]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 abs/2407.15355 (2024) - [i12]Chunpeng Zhou, Kangjie Ning, Qianqian Shen, Sheng Zhou, Zhi Yu, Haishuai Wang:
SAM-SP: Self-Prompting Makes SAM Great Again. CoRR abs/2408.12364 (2024) - 2023
- [j26]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): 40 (2023) - [j25]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: 119202 (2023) - [j24]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: 110208 (2023) - [j23]Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu:
Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. Neural Networks 167: 615-625 (2023) - [j22]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): 12852-12861 (2023) - [c32]Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller:
Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition. ICASSP 2023: 1-5 - [c31]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: 5451-5460 - [c30]Ke Liu, Ning Ma, Zhihua Wang, Jingjun Gu, Jiajun Bu, Haishuai Wang:
Implicit Neural Distance Optimization for Mesh Neural Subdivision. ICME 2023: 2039-2044 - [c29]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: 2433-2437 - [c28]Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang:
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. NeurIPS 2023 - [c27]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: 1257 - [i11]Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller:
hierarchical network with decoupled knowledge distillation for speech emotion recognition. CoRR abs/2303.05134 (2023) - [i10]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 abs/2307.02813 (2023) - [i9]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 abs/2308.04779 (2023) - [i8]Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu:
Graph Neural Architecture Search with GPT-4. CoRR abs/2310.01436 (2023) - [i7]Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang:
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. CoRR abs/2310.14017 (2023) - [i6]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 abs/2310.14184 (2023) - [i5]Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang:
Heterogeneous Graph Neural Architecture Search with GPT-4. CoRR abs/2312.08680 (2023) - 2022
- [j21]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): 1-16 (2022) - [j20]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): 276-288 (2022) - [j19]Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang:
Discrete embedding for attributed graphs. Pattern Recognit. 123: 108368 (2022) - [c26]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: 292-296 - [c25]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: 9102-9106 - [c24]Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu:
Hilbert Distillation for Cross-Dimensionality Networks. NeurIPS 2022 - [c23]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: 936-939 - [i4]Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu:
Hilbert Distillation for Cross-Dimensionality Networks. CoRR abs/2211.04031 (2022) - 2021
- [j18]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: 265-284 (2021) - [j17]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: 52-60 (2021) - [j16]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): 43-54 (2021) - [c22]Fangyuan Luo, Jun Wu, Haishuai Wang:
Semi-Discrete Social Recommendation (Student Abstract). AAAI 2021: 15835-15836 - [c21]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: 4184-4192 - [c20]Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li:
Crawler Detection in Location-Based Services Using Attributed Action Net. CIKM 2021: 4234-4242 - [c19]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: 3670-3678 - 2020
- [j15]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: 228598-228604 (2020) - [j14]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: 8975078:1-8975078:10 (2020) - [j13]Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang:
Semi-discrete Matrix Factorization. IEEE Intell. Syst. 35(5): 73-83 (2020) - [j12]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): 423-434 (2020) - [j11]Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang:
Time-Variant Graph Classification. IEEE Trans. Syst. Man Cybern. Syst. 50(8): 2883-2896 (2020) - [j10]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): 3804-3816 (2020) - [c18]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: 6194-6201 - [c17]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller:
Hierarchical Attention Transfer Networks for Depression Assessment from Speech. ICASSP 2020: 7159-7163 - [c16]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: 4956-4960
2010 – 2019
- 2019
- [j9]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: 33778-33786 (2019) - [j8]Yujia Zhang, Jun Wu, Haishuai Wang:
Neural Binary Representation Learning for Large-Scale Collaborative Filtering. IEEE Access 7: 60752-60763 (2019) - [j7]Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen:
Time series feature learning with labeled and unlabeled data. Pattern Recognit. 89: 55-66 (2019) - [j6]Haishuai Wang, Jia Wu, Peng Zhang, Yixin Chen:
Learning Shapelet Patterns from Network-Based Time Series. IEEE Trans. Ind. Informatics 15(7): 3864-3876 (2019) - [c15]Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao:
Autism Screening Using Deep Embedding Representation. ICCS (2) 2019: 160-173 - [c14]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: 206-210 - [i3]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 abs/1911.07924 (2019) - 2018
- [j5]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): 1968-1978 (2018) - [c13]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: 272-276 - [c12]Yujia Zhang, Jun Wu, Haishuai Wang:
Binary Collaborative Filtering Ensemble. PRICAI (1) 2018: 993-1004 - [i2]Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long:
Universal Network Representation for Heterogeneous Information Networks. CoRR abs/1811.12157 (2018) - 2017
- [j4]Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen:
Towards large-scale social networks with online diffusion provenance detection. Comput. Networks 114: 154-166 (2017) - [j3]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): 128-142 (2017) - [c11]Haishuai Wang, Jun Wu:
Boosting for Real-Time Multivariate Time Series Classification. AAAI 2017: 4999-5000 - [c10]Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long:
Universal network representation for heterogeneous information networks. IJCNN 2017: 388-395 - [c9]Yu He, Jun Wu, Haishuai Wang:
Clickthrough refinement for improved graph ranking. IJCNN 2017: 3288-3295 - [c8]Zhenyan Ji, Weina Yao, Huaiyu Pi, Wei Lu, Jing He, Haishuai Wang:
A Survey of Personalised Image Retrieval and Recommendation. NCTCS 2017: 233-247 - [c7]Zhenyan Ji, Zhi Zhang, Canzhen Zhou, Haishuai Wang:
A Fast Interactive Item-Based Collaborative Filtering Algorithm. NCTCS 2017: 248-257 - 2016
- [b1]Haishuai Wang:
Time-variant graph learning and classification. University of Technology Sydney, Australia, 2016 - [c6]Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long:
Evolutionary lazy learning for Naive Bayes classification. IJCNN 2016: 3124-3129 - [c5]Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu:
Mining subcascade features for cascade outbreak prediction in big networks. IJCNN 2016: 3942-3949 - [i1]Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang:
Time-Variant Graph Classification. CoRR abs/1609.04350 (2016) - 2015
- [j2]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): 63-74 (2015) - [c4]Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang:
SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC 2015: 318-322 - [c3]Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang:
Defragging Subgraph Features for Graph Classification. CIKM 2015: 1687-1690 - [c2]Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan:
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. ICONIP (4) 2015: 111-119 - [c1]Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang:
Online diffusion source detection in social networks. IJCNN 2015: 1-8 - 2014
- [j1]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): 964-973 (2014)
Coauthor Index
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