Learning with both unlabeled data and query logs for image search. - Jun Wu 007; Zhi-Bo Xiao; Haishuai Wang; Hong Shen 001 (Comput. Electr. Eng., 2014)

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Chengqi Zhang (ADC, 2015)

Defragging Subgraph Features for Graph Classification. - Haishuai Wang; Peng Zhang 001; Ivor W. Tsang; Ling Chen 006; Chengqi Zhang (CIKM, 2015)

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. - Haishuai Wang; Peng Zhang 001; Jia Wu 001; Shirui Pan (ICONIP (4), 2015)

Online diffusion source detection in social networks. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Huan Liu 001; Chengqi Zhang (IJCNN, 2015)

Locally Weighted Learning: How and When Does it Work in Bayesian Networks? - Jia Wu 001; Bi Wu; Shirui Pan; Haishuai Wang; Zhihua Cai (Int. J. Comput. Intell. Syst., 2015)

Evolutionary lazy learning for Naive Bayes classification. - Yu Bai; Haishuai Wang; Jia Wu 001; Yun Zhang; Jing Jiang 002; Guodong Long (IJCNN, 2016)

Mining subcascade features for cascade outbreak prediction in big networks. - Haishuai Wang; Jia Wu 001; Chuan Zhou 001; Zhenyan Ji; Jun Wu 007 (IJCNN, 2016)

Time-Variant Graph Classification. - Haishuai Wang; Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang (CoRR, 2016)

Time-variant graph learning and classification - Haishuai Wang (2016)

Boosting for Real-Time Multivariate Time Series Classification. - Haishuai Wang; Jun Wu 007 (AAAI, 2017)

Clickthrough refinement for improved graph ranking. - Yu He; Jun Wu 007; Haishuai Wang (IJCNN, 2017)

Universal network representation for heterogeneous information networks. - Ruiqi Hu; Celina Ping Yu; Sai-Fu Fung; Shirui Pan; Haishuai Wang; Guodong Long (IJCNN, 2017)

A Survey of Personalised Image Retrieval and Recommendation. - Zhenyan Ji; Weina Yao; Huaiyu Pi; Wei Lu 010; Jing He 004; Haishuai Wang (NCTCS, 2017)

A Fast Interactive Item-Based Collaborative Filtering Algorithm. - Zhenyan Ji; Zhi Zhang; Canzhen Zhou; Haishuai Wang (NCTCS, 2017)

Towards large-scale social networks with online diffusion provenance detection. - Haishuai Wang; Jia Wu 001; Shirui Pan; Peng Zhang 001; Ling Chen 006 (Comput. Networks, 2017)

Incremental Subgraph Feature Selection for Graph Classification. - Haishuai Wang; Peng Zhang 001; Xingquan Zhu 001; Ivor Wai-Hung Tsang; Ling Chen 006; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2017)

Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. - Ziping Zhao 001; Yu Zheng 013; Zixing Zhang 001; Haishuai Wang; Yiqin Zhao; Chao Li (INTERSPEECH, 2018)

Binary Collaborative Filtering Ensemble. - Yujia Zhang; Jun Wu 007; Haishuai Wang (PRICAI (1), 2018)

Predicting Hospital Readmission via Cost-Sensitive Deep Learning. - Haishuai Wang; Zhicheng Cui; Yixin Chen 001; Michael Avidan; Arbi Ben Abdallah; Alexander Kronzer (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Autism Screening Using Deep Embedding Representation. - Haishuai Wang; Li Li; Lianhua Chi; Ziping Zhao 001 (ICCS (2), 2019)

Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Björn W. Schuller (INTERSPEECH, 2019)

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. - Jia Wu 001; Shirui Pan; Junjun Jiang; Zhihua Cai; Bo Du 001; Yingjie Tian 001; Shuaiqiang Wang; Haishuai Wang (IEEE Access, 2019)

Neural Binary Representation Learning for Large-Scale Collaborative Filtering. - Yujia Zhang; Jun Wu 007; Haishuai Wang (IEEE Access, 2019)

Time series feature learning with labeled and unlabeled data. - Haishuai Wang; Qin Zhang 011; Jia Wu 001; Shirui Pan; Yixin Chen 001 (Pattern Recognit., 2019)

Learning Shapelet Patterns from Network-Based Time Series. - Haishuai Wang; Jia Wu 001; Peng Zhang 001; Yixin Chen 001 (IEEE Trans. Ind. Informatics, 2019)

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. - Jing Wang 138; Weiqing Min; Sujuan Hou; Shengnan Ma; Yuanjie Zheng; Haishuai Wang; Shuqiang Jiang (AAAI, 2020)

Hierarchical Attention Transfer Networks for Depression Assessment from Speech. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Björn W. Schuller (ICASSP, 2020)

Hybrid Network Feature Extraction for Depression Assessment from Speech. - Ziping Zhao 001; Qifei Li; Nicholas Cummins; Bin Liu 041; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (INTERSPEECH, 2020)

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. - Yongqiang Zhao 001; Shirui Pan; Jia Wu 001; Huaiyu Wan; Huizhi Liang; Haishuai Wang; Huawei Shen (IEEE Access, 2020)

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning. - Panpan Wu; Xuanchao Sun; Ziping Zhao 001; Haishuai Wang; Shirui Pan; Björn W. Schuller (Comput. Intell. Neurosci., 2020)

Semi-discrete Matrix Factorization. - Jun Wu 007; Fangyuan Luo; Yujia Zhang; Haishuai Wang (IEEE Intell. Syst., 2020)

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Jun Deng; Nicholas Cummins; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (IEEE J. Sel. Top. Signal Process., 2020)

Time-Variant Graph Classification. - Haishuai Wang; Jia Wu 001; Xingquan Zhu 001; Yixin Chen 001; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Social Recommendation With Evolutionary Opinion Dynamics. - Fei Xiong; Ximeng Wang; Shirui Pan; Hong Yang 003; Haishuai Wang; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Semi-Discrete Social Recommendation (Student Abstract). - Fangyuan Luo; Jun Wu 007; Haishuai Wang (AAAI, 2021)

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. - Haishuai Wang; Zhao Li 007; Xuanwu Liu; Donghui Ding; Zehong Hu; Peng Zhang 001; Chuan Zhou 001; Jiajun Bu (CIKM, 2021)

Crawler Detection in Location-Based Services Using Attributed Action Net. - Wei Xia; Fei Zhao; Haishuai Wang; Peng Zhang 001; Anhui Wang; Kang Li (CIKM, 2021)

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. - Haishuai Wang; Zhao Li 007; Peng Zhang 001; Jiaming Huang; Pengrui Hui; Jian Liao; Ji Zhang 001; Jiajun Bu (KDD, 2021)

Towards embedding information diffusion data for understanding big dynamic networks. - Hong Yang 003; Peng Zhang 001; Haishuai Wang; Chuan Zhou 001; Zhao Li 007; Li Gao; Qingfeng Tan (Neurocomputing, 2021)

Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. - Ziping Zhao 001; Qifei Li; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (Neural Networks, 2021)

Self-attention transfer networks for speech emotion recognition. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Shihuang Sun; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (Virtual Real. Intell. Hardw., 2021)

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. - Chao Li; Yong Sheng; Haishuai Wang; Mingyue Niu; Peiguang Jing; Ziping Zhao 001; Björn W. Schuller (EMBC, 2022)

Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. - Ziping Zhao 001; Zhen Gong; Mingyue Niu; Jiali Ma; Haishuai Wang; Zixing Zhang 001; Ya Li 001 (ICASSP, 2022)

Hilbert Distillation for Cross-Dimensionality Networks. - Dian Qin; Haishuai Wang; Zhe Liu; Hongjia Xu; Sheng Zhou 004; Jiajun Bu (NeurIPS, 2022)

DLWoT'22: 2nd International Workshop on Deep Learning for the Web of Things. - Wenzhong Guo; Chin-Chen Chang 001; Eyhab Al-Masri; Chi-Hua Chen; Haishuai Wang; Qichun Zhang; K. Shankar 002 (WWW (Companion Volume), 2022)

Adversarial Training for Predicting the Trend of the COVID-19 Pandemic. - Haishuai Wang; Jiali Ma; Ziping Zhao 001; Zhenyi Jia; Zhenyan Ji; Jun Wu 007 (J. Database Manag., 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 003; Ziping Zhao 001; Jianhua Tao 001 (IEEE J. Sel. Top. Signal Process., 2022)

Discrete embedding for attributed graphs. - Hong Yang 003; Ling Chen 006; Shirui Pan; Haishuai Wang; Peng Zhang 001 (Pattern Recognit., 2022)

Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition. - Ziping Zhao 001; Huan Wang; Haishuai Wang; Björn W. Schuller (ICASSP, 2023)

Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. - Ke Liu 013; Feng Liu 003; Haishuai Wang; Ning Ma; Jiajun Bu; Bo Han 003 (ICCV, 2023)

Implicit Neural Distance Optimization for Mesh Neural Subdivision. - Ke Liu 013; Ning Ma; Zhihua Wang; Jingjun Gu; Jiajun Bu; Haishuai Wang (ICME, 2023)

SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition. - Ziping Zhao 001; Tian Gao; Haishuai Wang; Björn W. Schuller (INTERSPEECH, 2023)

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. - Yihe Wang; Yu Han; Haishuai Wang; Xiang Zhang 012 (NeurIPS, 2023)

The 3rd International Workshop on Deep Learning for the Web of Things. - Cheng Shi 002; Chin-Chen Chang 001; Eyhab Al-Masri; Abel C. H. Chen; Haishuai Wang; Qichun Zhang; Hsiao-Ting Tseng; K. Shankar 002; Taehong Kim (WWW (Companion Volume), 2023)

Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR. - Chunpeng Zhou; Kangjie Ning; Haishuai Wang; Zhi Yu; Sheng Zhou 004; Jiajun Bu (CoRR, 2023)

Graph Neural Architecture Search with GPT-4. - Haishuai Wang; Yang Gao 024; Xin Zheng 008; Peng Zhang 001; Hongyang Chen; Jiajun Bu (CoRR, 2023)

Heterogeneous Graph Neural Architecture Search with GPT-4. - Haoyuan Dong; Yang Gao 024; Haishuai Wang; Hong Yang 003; Peng Zhang 001 (CoRR, 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)

Dynamic data-free knowledge distillation by easy-to-hard learning strategy. - Jingru Li; Sheng Zhou 004; Liangcheng Li; Haishuai Wang; Jiajun Bu; Zhi Yu (Inf. Sci., 2023)

Source-free semi-supervised domain adaptation via progressive Mixup. - Ning Ma; Haishuai Wang; Zhen Zhang 023; Sheng Zhou 004; Hongyang Chen; Jiajun Bu (Knowl. Based Syst., 2023)

Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. - Chunpeng Zhou; Haishuai Wang; Sheng Zhou 004; Zhi Yu; Danushka Bandara; Jiajun Bu (Neural Networks, 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 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Attention Beats Linear for Fast Implicit Neural Representation Generation. - Shuyi Zhang; Ke Liu 013; Jingjun Gu; Xiaoxu Cai; Zhihua Wang; Jiajun Bu; Haishuai Wang (ECCV (53), 2024)

Inversive-Reasoning Augmentation for Natural Language Inference. - Xixi Zhou; Xin Jie; Sheng Zhou 004; Keyue Shi; Zhi Yu; Jiajun Bu; Haishuai Wang (ICASSP, 2024)

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. - Yuanchen Bei; Hao Xu; Sheng Zhou 004; Huixuan Chi; Haishuai Wang; Mengdi Zhang 002; Zhao Li 007; Jiajun Bu (ICDE, 2024)

Dense Coordinate Channel Attention Network for Depression Level Estimation from Speech. - Ziping Zhao 001; Shizhao Liu; Mingyue Niu; Haishuai Wang; Björn W. Schuller (ICPR (13), 2024)

MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition. - Ziping Zhao 001; Tian Gao; Haishuai Wang; Björn W. Schuller (INTERSPEECH, 2024)

Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training. - Chenrui Wu 002; Haishuai Wang; Xiang Zhang 012; Zhen Fang 001; Jiajun Bu (ACM Multimedia, 2024)

Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings. - Xixi Zhou; Chunbin Gu; Xin Jie; Jiajun Bu; Haishuai Wang (NAACL-HLT (Findings), 2024)

EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. - Xixi Zhou; Yang Gao 024; Xin Jie; Xiaoxu Cai; Jiajun Bu; Haishuai Wang (SIGIR, 2024)

Disentangled Anomaly Detection For Multivariate Time Series. - Xin Jie; Xixi Zhou; Chanfei Su; Zijun Zhou; Yuqing Yuan; Jiajun Bu; Haishuai Wang (WWW (Companion Volume), 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)

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. - Yuanchen Bei; Sheng Zhou 004; Jinke Shi; Yao Ma 001; Haishuai Wang; Jiajun Bu (CoRR, 2024)

Towards a Unified Framework of Clustering-based Anomaly Detection. - Zeyu Fang; Ming Gu 014; Sheng Zhou 004; Jiawei Chen 007; Qiaoyu Tan; Haishuai Wang; Jiajun Bu (CoRR, 2024)

SAM-SP: Self-Prompting Makes SAM Great Again. - Chunpeng Zhou; Kangjie Ning; Qianqian Shen; Sheng Zhou 004; Zhi Yu; Haishuai Wang (CoRR, 2024)

Repurposing Foundation Model for Generalizable Medical Time Series Classification. - Nan Huang 004; Haishuai Wang; Zihuai He; Marinka Zitnik; Xiang Zhang 012 (CoRR, 2024)

Graph spatiotemporal process for multivariate time series anomaly detection with missing values. - Yu Zheng 013; Huan Yee Koh; Ming Jin 005; Lianhua Chi; Haishuai Wang; Khoa Tran Phan; Yi-Ping Phoebe Chen; Shirui Pan; Wei Xiang 001 (Inf. Fusion, 2024)

Validating Siamese embedded neural networks with identical representations for efficient model convergence. - Mathias Hoy Talbo; Haishuai Wang; Lianhua Chi; Yi-Ping Phoebe Chen (Knowl. Based Syst., 2024)

AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation. - Jingru Li; Sheng Zhou 004; Liangcheng Li; Haishuai Wang; Jiajun Bu; Zhi Yu (Neural Networks, 2024)

Structure enhanced prototypical alignment for unsupervised cross-domain node classification. - Meihan Liu; Zhen Zhang 023; Ning Ma; Ming Gu 014; Haishuai Wang; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2024)

Single depth image 3D face reconstruction via domain adaptive learning. - Xiaoxu Cai; Jianwen Lou; Jiajun Bu; Junyu Dong; Haishuai Wang; Hui Yu 001 (Frontiers Comput. Sci., 2024)

Multi-view domain-adaptive representation learning for EEG-based emotion recognition. - Chao Li; Ning Bian; Ziping Zhao 001; Haishuai Wang; Björn W. Schuller (Inf. Fusion, 2024)

Learning Co-occurrence Patterns for Next Destination Recommendation. - Hui Fang; Zhu Xiao; Pengfei Zheng; Hongyang Chen; Zhao Li 007; Jiajun Bu; Haishuai Wang (IEEE Trans. Mob. Comput., 2024)

Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. - Chao Li; Feng Wang; Ziping Zhao 001; Haishuai Wang; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2024)

Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. - Hui Fang; Yang Gao 024; Peng Zhang 001; Jiangchao Yao; Hongyang Chen; Haishuai Wang (AAAI, 2025)

MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. - Jialong Guo; Ke Liu 013; Jiangchao Yao; Zhihua Wang; Jiajun Bu; Haishuai Wang (AAAI, 2025)

Long-form Hallucination Detection with Self-elicitation. - Zihang Liu; Jiawei Guo; Hao Zhang; Hongyang Chen; Jiajun Bu; Haishuai Wang (ACL (Findings), 2025)

Multi-modal Medical Diagnosis via Large-small Model Collaboration. - Wanyi Chen; Zihua Zhao; Jiangchao Yao; Ya Zhang 002; Jiajun Bu; Haishuai Wang (CVPR, 2025)

Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract). - Xuhui Li; Zhen Fang 001; Yonggang Zhang 003; Ning Ma; Jiajun Bu; Bo Han 003; Haishuai Wang (ICDE, 2025)

TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. - Mengxuan Li 003; Ke Liu 013; Hongyang Chen; Jiajun Bu; Hongwei Wang 001; Haishuai Wang (KDD (1), 2025)

Unraveling Spatial-Temporal and Out-of-Distribution Patterns for Multivariate Time Series Classification. - Xiao Liu; Yan Li; Haishuai Wang (WWW (Companion Volume), 2025)

Disentangling Reasoning Factors for Natural Language Inference. - Xixi Zhou; Limin Zeng; Ziping Zhao 001; Jiajun Bu; Wenjie Liang; Haishuai Wang (Big Data Min. Anal., 2025)

InsGNN: Interpretable spatio-temporal graph neural networks via information bottleneck. - Hui Fang; Haishuai Wang; Yang Gao 024; Yonggang Zhang 003; Jiajun Bu; Bo Han 003; Hui Lin (Inf. Fusion, 2025)

Less is more: A closer look at semantic-based few-shot learning. - Chunpeng Zhou; Zhi Yu; Xilu Yuan; Sheng Zhou 004; Jiajun Bu; Haishuai Wang (Inf. Fusion, 2025)

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. - Ming Gu 014; Gaoming Yang; Zhuonan Zheng; Meihan Liu; Haishuai Wang; Jiawei Chen 007; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2025)

One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning. - Chunpeng Zhou; Qianqian Shen; Zhi Yu; Jiajun Bu; Haishuai Wang (CoRR, 2025)

Characterizing Submanifold Region for Out-of-Distribution Detection. - Xuhui Li; Zhen Fang 001; Yonggang Zhang 003; Ning Ma; Jiajun Bu; Bo Han 003; Haishuai Wang (IEEE Trans. Knowl. Data Eng., 2025)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Yizhi Chen; Junxian Wu; Peng Zhang 001; Haishuai Wang (CoRR, 2025)

Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization. - Jiajun Yu; Yizhen Zheng; Huan Yee Koh; Shirui Pan; Tianyue Wang; Haishuai Wang (CoRR, 2025)

FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting. - Houxin Gong; Haishuai Wang; Peng Zhang 001; Sheng Zhou 004; Hongyang Chen; Jiajun Bu (IEEE Trans. Mob. Comput., 2025)

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. - Mengxuan Li 003; Ke Liu 013; Jialong Guo; Jiajun Bu; Hongwei Wang 001; Haishuai Wang (CoRR, 2025)

Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval. - Zhengxin Pan; Haishuai Wang; Fangyu Wu; Peng Zhang 001; Jiajun Bu (CoRR, 2025)

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. - Jielong Lu; Zhihao Wu; Jiajun Yu; Jiajun Bu; Haishuai Wang (CoRR, 2025)