Haishuai Wang - RankMe

144 papers A* 27A 10B 5Misc 5Journal 77Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection. AAAI Jie Lian, Zhihao Wu, Jielong Lu, Jiajun Yu, Qianqian Shen, Haishuai Wang
2026	J	`jnl`	CSTSINR: improving temporal continuity via convolutional structured implicit neural representations for time series anomaly detection. Neural Networks Ke Liu, Mengxuan Li, Jiajun Bu, Hongwei Wang, Haishuai Wang
2026	J	`jnl`	Contrastive Federated Learning for Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Hui Fang, Yang Gao, Peng Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu, Haishuai Wang
2026	J	`jnl`	Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading. CoRR Huangwei Chen, Junhao Jia, Ruocheng Li, Cunyuan Yang, Wu Li, Xiaotao Pang, Yifei Chen, Haishuai Wang, Jiajun Bu, Lei Wu
2026	J	`jnl`	LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation. CoRR Cunyuan Yang, Dejuan Song, Xiaotao Pang, Qianqian Shen, Wenjie Nie, Yifan Huang, Lei Wu, Wei Han, Haishuai Wang, Jiajun Bu
2026	J	`jnl`	Learning Image-Text Matching with Optimal Partial Transport. CoRR Zhengxin Pan, Haishuai Wang, Fangyu Wu, Bailing Zhang, Jiajun Bu, Hongyang Chen
2026	A*	`conf`	Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting. WWW Boning Zhang, Haishuai Wang, Zehong Hu, Jiajun Wang, Hongyi Zhang, Jia Jia
2026	J	`jnl`	Sci-Mind: Cognitively-Inspired Adversarial Debate for Autonomous Mathematical Modeling. CoRR Junhao Jia, Huangwei Chen, Ruiying Sun, Yanhui Song, Haishuai Wang, Jiajun Bu, Lei Wu
2026	A*	`conf`	Unifying Multi-View Knowledge for Graph Learning via Model Collaboration. AAAI Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang
2026	J	`jnl`	Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosis. CoRR Junhao Jia, Yueyi Wu, Huangwei Chen, Haodong Jing, Haishuai Wang, Jiajun Bu, Lei Wu
2025	A*	`conf`	A Centrality-based Graph Learning Framework. IJCAI Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang
2025	J	`jnl`	A Knowledge Distillation-Based Approach to Speech Emotion Recognition. IEEE Trans. Affect. Comput. Ziping Zhao, Jixin Liu, Haishuai Wang, Danushka Bandara, Jianhua Tao
2025	J	`jnl`	Characterizing Submanifold Region for Out-of-Distribution Detection. IEEE Trans. Knowl. Data Eng. Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang
2025	A*	`conf`	Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract). ICDE Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang
2025	J	`jnl`	Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization. CoRR Jiajun Yu, Yizhen Zheng, Huan Yee Koh, Shirui Pan, Tianyue Wang, Haishuai Wang
2025	J	`jnl`	Disentangling Reasoning Factors for Natural Language Inference. Big Data Min. Anal. Xixi Zhou, Limin Zeng, Ziping Zhao, Jiajun Bu, Wenjie Liang, Haishuai Wang
2025	A*	`conf`	Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis. IJCAI Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang
2025	—	`conf`	EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary. ACL (6) Yaozhen Liang, Xiao Liu, Jiajun Yu, Zhouhua Fang, Qunsheng Zou, Linghan Zheng, Yong Li, Zhiwei Liu, Haishuai Wang
2025	—	`conf`	EagleCare: Augmenting ICU Monitoring with LLMs and Knowledge Graph Reasoning. ICKG Jiawei Guo, Yang Gao, Zihang Liu, Yihan Rao, Jiang Hu, Haishuai Wang
2025	A*	`conf`	Efficient Personalized Adaptation for Physiological Signal Foundation Model. ICML Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu
2025	—	`conf`	Enhancing Bone Mineral Density Estimation from X-ray Images with Cross-Modal Knowledge Distillation. KDD (2) Keyue Shi, Qianqian Shen, Zhongda Qi, Junyao Yang, Zhaoming Ye, Jiajun Bu, Haishuai Wang
2025	J	`jnl`	FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting. IEEE Trans. Mob. Comput. Houxin Gong, Haishuai Wang, Peng Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu
2025	J	`jnl`	Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. Neural Networks Ming Gu, Gaoming Yang, Zhuonan Zheng, Meihan Liu, Haishuai Wang, Jiawei Chen, Sheng Zhou, Jiajun Bu
2025	J	`jnl`	Graph neural architecture search with large language models. Sci. China Inf. Sci. Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Jiajun Bu, Philip S. Yu
2025	J	`jnl`	Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
2025	A*	`conf`	Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval. ACM Multimedia Zhengxin Pan, Haishuai Wang, Fangyu Wu, Peng Zhang, Jiajun Bu
2025	J	`jnl`	Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval. CoRR Zhengxin Pan, Haishuai Wang, Fangyu Wu, Peng Zhang, Jiajun Bu
2025	A*	`conf`	ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. IJCAI Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang
2025	J	`jnl`	ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. CoRR Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang
2025	J	`jnl`	InsGNN: Interpretable spatio-temporal graph neural networks via information bottleneck. Inf. Fusion Hui Fang, Haishuai Wang, Yang Gao, Yonggang Zhang, Jiajun Bu, Bo Han, Hui Lin
2025	J	`jnl`	LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search. CoRR Yang Gao, Hong Yang, Yizhi Chen, Junxian Wu, Peng Zhang, Haishuai Wang
2025	A*	`conf`	LUMOS: A Lumbar Multimodal Osteoporosis Screening Dataset with X-ray and CT images. ACM Multimedia Keyue Shi, Qianqian Shen, Zhaoming Ye, Liangjun Jiang, Jiajun Bu, Haishuai Wang
2025	A*	`conf`	Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. AAAI Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang
2025	A	`conf`	Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction. CIKM Zhonghao Wang, Yuanchen Bei, Sheng Zhou, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu
2025	J	`jnl`	Less is more: A closer look at semantic-based few-shot learning. Inf. Fusion Chunpeng Zhou, Zhi Yu, Xilu Yuan, Sheng Zhou, Jiajun Bu, Haishuai Wang
2025	—	`conf`	Long-form Hallucination Detection with Self-elicitation. ACL (Findings) Zihang Liu, Jiawei Guo, Hao Zhang, Hongyang Chen, Jiajun Bu, Haishuai Wang
2025	—	`conf`	M-TSINR: Multiscale Implicit Neural Representations via Mamba Encoder for Time Series Anomaly Detection. ICKG Ke Liu, Mengxuan Li, Qianqian Shen, Yang Gao, Haishuai Wang
2025	A*	`conf`	MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. AAAI Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang
2025	J	`jnl`	MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. CoRR Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang
2025	A*	`conf`	Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. IJCAI Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang
2025	J	`jnl`	Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. CoRR Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang
2025	A*	`conf`	Multi-modal Medical Diagnosis via Large-small Model Collaboration. CVPR Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang
2025	J	`jnl`	One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning. CoRR Chunpeng Zhou, Qianqian Shen, Zhi Yu, Jiajun Bu, Haishuai Wang
2025	—	`conf`	TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. KDD (1) Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang
2025	A*	`conf`	Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts. ICDM Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan
2025	J	`jnl`	Toward Universal Personalization in Federated Learning via Collaborative Foundation Generative Models. IEEE Trans. Mob. Comput. Chenrui Wu, Zexi Li, Fangxin Wang, Hongyang Chen, Jiajun Bu, Haishuai Wang
2025	A*	`conf`	Towards a Unified Framework of Clustering-based Anomaly Detection. ICML Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
2025	—	`conf`	Unraveling Spatial-Temporal and Out-of-Distribution Patterns for Multivariate Time Series Classification. WWW (Companion Volume) Xiao Liu, Yan Li, Haishuai Wang
2025	A*	`conf`	Where Views Meet Curves: Virtual Anchors for Hyperbolic Multi-View Graph Diffusion. ACM Multimedia Jielong Lu, Zhihao Wu, Jiajun Yu, Qianqian Shen, Jiajun Bu, Haishuai Wang
2024	J	`jnl`	AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation. Neural Networks Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu
2024	—	`conf`	Attention Beats Linear for Fast Implicit Neural Representation Generation. ECCV (53) Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhihua Wang, Jiajun Bu, Haishuai Wang
2024	J	`jnl`	Attention Beats Linear for Fast Implicit Neural Representation Generation. CoRR Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhi-Hua Wang, Jiajun Bu, Haishuai Wang
2024	J	`jnl`	Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics Chao Li, Feng Wang, Ziping Zhao, Haishuai Wang, Björn W. Schuller
2024	A*	`conf`	CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
2024	—	`conf`	Dense Coordinate Channel Attention Network for Depression Level Estimation from Speech. ICPR (13) Ziping Zhao, Shizhao Liu, Mingyue Niu, Haishuai Wang, Björn W. Schuller
2024	—	`conf`	Disentangled Anomaly Detection For Multivariate Time Series. WWW (Companion Volume) Xin Jie, Xixi Zhou, Chanfei Su, Zijun Zhou, Yuqing Yuan, Jiajun Bu, Haishuai Wang
2024	A*	`conf`	EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. SIGIR Xixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang
2024	J	`jnl`	Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
2024	J	`jnl`	Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
2024	J	`jnl`	Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
2024	Misc	`conf`	Inversive-Reasoning Augmentation for Natural Language Inference. ICASSP Xixi Zhou, Xin Jie, Sheng Zhou, Keyue Shi, Zhi Yu, Jiajun Bu, Haishuai Wang
2024	J	`jnl`	Learning Co-occurrence Patterns for Next Destination Recommendation. IEEE Trans. Mob. Comput. Hui Fang, Zhu Xiao, Pengfei Zheng, Hongyang Chen, Zhao Li, Jiajun Bu, Haishuai Wang
2024	J	`jnl`	Less is More : A Closer Look at Multi-Modal Few-Shot Learning. CoRR Chunpeng Zhou, Haishuai Wang, Xilu Yuan, Zhi Yu, Jiajun Bu
2024	A	`conf`	MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition. INTERSPEECH Ziping Zhao, Tian Gao, Haishuai Wang, Björn W. Schuller
2024	—	`conf`	Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings. NAACL-HLT (Findings) Xixi Zhou, Chunbin Gu, Xin Jie, Jiajun Bu, Haishuai Wang
2024	J	`jnl`	Multi-view domain-adaptive representation learning for EEG-based emotion recognition. Inf. Fusion Chao Li, Ning Bian, Ziping Zhao, Haishuai Wang, Björn W. Schuller
2024	J	`jnl`	Repurposing Foundation Model for Generalizable Medical Time Series Classification. CoRR Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang
2024	J	`jnl`	SAM-SP: Self-Prompting Makes SAM Great Again. CoRR Chunpeng Zhou, Kangjie Ning, Qianqian Shen, Sheng Zhou, Zhi Yu, Haishuai Wang
2024	J	`jnl`	Single depth image 3D face reconstruction via domain adaptive learning. Frontiers Comput. Sci. Xiaoxu Cai, Jianwen Lou, Jiajun Bu, Junyu Dong, Haishuai Wang, Hui Yu
2024	A*	`conf`	Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training. ACM Multimedia Chenrui Wu, Haishuai Wang, Xiang Zhang, Zhen Fang, Jiajun Bu
2024	J	`jnl`	Structure enhanced prototypical alignment for unsupervised cross-domain node classification. Neural Networks Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou, Jiajun Bu
2024	J	`jnl`	TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. CoRR Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang
2024	J	`jnl`	Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
2024	J	`jnl`	Validating Siamese embedded neural networks with identical representations for efficient model convergence. Knowl. Based Syst. Mathias Hoy Talbo, Haishuai Wang, Lianhua Chi, Yi-Ping Phoebe Chen
2023	J	`jnl`	CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
2023	A*	`conf`	Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. NeurIPS Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
2023	J	`jnl`	Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. CoRR Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
2023	J	`jnl`	Dynamic data-free knowledge distillation by easy-to-hard learning strategy. Inf. Sci. Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu
2023	J	`jnl`	Graph Neural Architecture Search with GPT-4. CoRR Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu
2023	J	`jnl`	Heterogeneous Graph Neural Architecture Search with GPT-4. CoRR Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang
2023	J	`jnl`	Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. Neural Networks Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu
2023	Misc	`conf`	Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition. ICASSP Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller
2023	A	`conf`	Implicit Neural Distance Optimization for Mesh Neural Subdivision. ICME Ke Liu, Ning Ma, Zhihua Wang, Jingjun Gu, Jiajun Bu, Haishuai Wang
2023	J	`jnl`	Machine learning for trust, security, and privacy in computing and communications. EURASIP J. Wirel. Commun. Netw. Chin-Ling Chen, Haishuai Wang, Abel C. H. Chen, Chunjia Han, Yu-Chih Wei, Xiaoyan Li
2023	J	`jnl`	Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR. CoRR Chunpeng Zhou, Kangjie Ning, Haishuai Wang, Zhi Yu, Sheng Zhou, Jiajun Bu
2023	A*	`conf`	Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. ICCV Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han
2023	J	`jnl`	Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. CoRR Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han
2023	J	`jnl`	RSG-Net: A Recurrent Similarity Network With Ghost Convolution for Wheelset Laser Stripe Image Inpainting. IEEE Trans. Intell. Transp. Syst. Zhenyan Ji, Xiaojun Song, Qibo Feng, Haishuai Wang, Chi-Hua Chen, Chin-Chen Chang
2023	A	`conf`	SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition. INTERSPEECH Ziping Zhao, Tian Gao, Haishuai Wang, Björn W. Schuller
2023	J	`jnl`	Source-free semi-supervised domain adaptation via progressive Mixup. Knowl. Based Syst. Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu
2023	—	`conf`	The 3rd International Workshop on Deep Learning for the Web of Things. WWW (Companion Volume) Cheng Shi, Chin-Chen Chang, Eyhab Al-Masri, Abel C. H. Chen, Haishuai Wang, Qichun Zhang, Hsiao-Ting Tseng, K. Shankar, Taehong Kim
2023	J	`jnl`	hierarchical network with decoupled knowledge distillation for speech emotion recognition. CoRR Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller
2022	J	`jnl`	Adversarial Training for Predicting the Trend of the COVID-19 Pandemic. J. Database Manag. Haishuai Wang, Jiali Ma, Ziping Zhao, Zhenyi Jia, Zhenyan Ji, Jun Wu
2022	Misc	`conf`	Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. ICASSP Ziping Zhao, Zhen Gong, Mingyue Niu, Jiali Ma, Haishuai Wang, Zixing Zhang, Ya Li
2022	—	`conf`	DLWoT'22: 2nd International Workshop on Deep Learning for the Web of Things. WWW (Companion Volume) Wenzhong Guo, Chin-Chen Chang, Eyhab Al-Masri, Chi-Hua Chen, Haishuai Wang, Qichun Zhang, K. Shankar
2022	J	`jnl`	Discrete embedding for attributed graphs. Pattern Recognit. Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang
2022	—	`conf`	EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. EMBC Chao Li, Yong Sheng, Haishuai Wang, Mingyue Niu, Peiguang Jing, Ziping Zhao, Björn W. Schuller
2022	A*	`conf`	Hilbert Distillation for Cross-Dimensionality Networks. NeurIPS Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
2022	J	`jnl`	Hilbert Distillation for Cross-Dimensionality Networks. CoRR Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
2022	J	`jnl`	Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. IEEE J. Sel. Top. Signal Process. Haishuai Wang, Guangyu Tao, Jiali Ma, Shangru Jia, Lianhua Chi, Hong Yang, Ziping Zhao, Jianhua Tao
2021	J	`jnl`	Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. Neural Networks Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2021	A	`conf`	Crawler Detection in Location-Based Services Using Attributed Action Net. CIKM Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li
2021	A	`conf`	Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. CIKM Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu
2021	A*	`conf`	Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. KDD Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu
2021	J	`jnl`	Self-attention transfer networks for speech emotion recognition. Virtual Real. Intell. Hardw. Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Shihuang Sun, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2021	A*	`conf`	Semi-Discrete Social Recommendation (Student Abstract). AAAI Fangyuan Luo, Jun Wu, Haishuai Wang
2021	J	`jnl`	Towards embedding information diffusion data for understanding big dynamic networks. Neurocomputing Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan
2020	J	`jnl`	Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. IEEE J. Sel. Top. Signal Process. Ziping Zhao, Zhongtian Bao, Zixing Zhang, Jun Deng, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2020	J	`jnl`	Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning. Comput. Intell. Neurosci. Panpan Wu, Xuanchao Sun, Ziping Zhao, Haishuai Wang, Shirui Pan, Björn W. Schuller
2020	Misc	`conf`	Hierarchical Attention Transfer Networks for Depression Assessment from Speech. ICASSP Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller
2020	A	`conf`	Hybrid Network Feature Extraction for Depression Assessment from Speech. INTERSPEECH Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2020	J	`jnl`	IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. IEEE Access Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020	A*	`conf`	Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. AAAI Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang
2020	J	`jnl`	Semi-discrete Matrix Factorization. IEEE Intell. Syst. Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang
2020	J	`jnl`	Social Recommendation With Evolutionary Opinion Dynamics. IEEE Trans. Syst. Man Cybern. Syst. Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang
2020	J	`jnl`	Time-Variant Graph Classification. IEEE Trans. Syst. Man Cybern. Syst. Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang
2019	A	`conf`	Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. INTERSPEECH Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller
2019	—	`conf`	Autism Screening Using Deep Embedding Representation. ICCS (2) Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao
2019	J	`jnl`	IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
2019	J	`jnl`	Learning Shapelet Patterns from Network-Based Time Series. IEEE Trans. Ind. Informatics Haishuai Wang, Jia Wu, Peng Zhang, Yixin Chen
2019	J	`jnl`	Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. CoRR Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang
2019	J	`jnl`	Neural Binary Representation Learning for Large-Scale Collaborative Filtering. IEEE Access Yujia Zhang, Jun Wu, Haishuai Wang
2019	J	`jnl`	Time series feature learning with labeled and unlabeled data. Pattern Recognit. Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen
2018	—	`conf`	Binary Collaborative Filtering Ensemble. PRICAI (1) Yujia Zhang, Jun Wu, Haishuai Wang
2018	A	`conf`	Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. INTERSPEECH Ziping Zhao, Yu Zheng, Zixing Zhang, Haishuai Wang, Yiqin Zhao, Chao Li
2018	J	`jnl`	Predicting Hospital Readmission via Cost-Sensitive Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Haishuai Wang, Zhicheng Cui, Yixin Chen, Michael Avidan, Arbi Ben Abdallah, Alexander Kronzer
2018	J	`jnl`	Universal Network Representation for Heterogeneous Information Networks. CoRR Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long
2017	—	`conf`	A Fast Interactive Item-Based Collaborative Filtering Algorithm. NCTCS Zhenyan Ji, Zhi Zhang, Canzhen Zhou, Haishuai Wang
2017	—	`conf`	A Survey of Personalised Image Retrieval and Recommendation. NCTCS Zhenyan Ji, Weina Yao, Huaiyu Pi, Wei Lu, Jing He, Haishuai Wang
2017	A*	`conf`	Boosting for Real-Time Multivariate Time Series Classification. AAAI Haishuai Wang, Jun Wu
2017	B	`conf`	Clickthrough refinement for improved graph ranking. IJCNN Yu He, Jun Wu, Haishuai Wang
2017	J	`jnl`	Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
2017	J	`jnl`	Towards large-scale social networks with online diffusion provenance detection. Comput. Networks Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen
2017	B	`conf`	Universal network representation for heterogeneous information networks. IJCNN Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long
2016	B	`conf`	Evolutionary lazy learning for Naive Bayes classification. IJCNN Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long
2016	B	`conf`	Mining subcascade features for cascade outbreak prediction in big networks. IJCNN Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu
2016	J	`jnl`	Time-Variant Graph Classification. CoRR Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang
2016	—	`—`	Time-variant graph learning and classification Haishuai Wang
2015	A	`conf`	Defragging Subgraph Features for Graph Classification. CIKM Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang
2015	J	`jnl`	Locally Weighted Learning: How and When Does it Work in Bayesian Networks? Int. J. Comput. Intell. Syst. Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai
2015	—	`conf`	Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. ICONIP (4) Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan
2015	B	`conf`	Online diffusion source detection in social networks. IJCNN Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang
2015	Misc	`conf`	SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang
2014	J	`jnl`	Learning with both unlabeled data and query logs for image search. Comput. Electr. Eng. Jun Wu, Zhi-Bo Xiao, Haishuai Wang, Hong Shen