Haishuai Wang
教师
Works on machine learning for graphs, time series and healthcare, including multi-view graph experts, implicit neural representations for time-series anomaly detection, retrieval-augmented generation and large-small model collaboration for medical diagnosis.
Haishuai Wang's lab at Zhejiang works on time series, anomaly & spatio-temporal data, recognition, detection & segmentation and knowledge, QA & retrieval. 80 papers since 2023, 40 at top venues, mostly Neural Networks and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 21/ year
- at T1 venues
- 50%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 19 papers2026 · T1 12 · collecting
- 33 papers2025 · T1 17
- 17 papers2024 · T1 6
- 11 papers2023 · T1 5
T1 venuesOtherVenues: Neural Networks, AAAI, ACM MM, IJCAI, KDD
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data24 papers
- Recognition, detection & segmentation19 papers
- Knowledge, QA & retrieval12 papers
- implicit7 papers
- neural representations6 papers
Paper list
From DBLP.
202619 papers
- AAAI (T1)Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection (opens in a new tab)
- Findings of ACLBeyond the Individual: Virtualizing Multi-Disciplinary Reasoning for Clinical Intake via Collaborative Agents (opens in a new tab)
- SIGIR (T1)Code-Based English Models Reveal Surprising Performance on Chinese QA Pair Extraction Task (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Contrastive Federated Learning for Graph Anomaly Detection (opens in a new tab)
- Neural NetworksCSTSINR: improving temporal continuity via convolutional structured implicit neural representations for time series anomaly detection (opens in a new tab)
- MICCAI (T1)Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading (opens in a new tab)
- SIGIR (T1)Efficient Memory Alignment for Long-term Conversational Information Seeking (opens in a new tab)
- NeurocomputingLarge language models for heterogeneous graph neural architecture search (opens in a new tab)
- MICCAI (T1)LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-Based Medical Report Generation (opens in a new tab)
- PAKDDMedGLM: Unifying Graph Neural Networks and Large Language Models for Knowledge Graph-Grounded Healthcare Prediction (opens in a new tab)
- IEEE Trans. Multim.One-Step Image-Function Generation via Consistency Training (opens in a new tab)
- WWW (T1)Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting (opens in a new tab)
202533 papers
- IJCAI (T1)A Centrality-based Graph Learning Framework (opens in a new tab)
- TAFFCA Knowledge Distillation-Based Approach to Speech Emotion Recognition (opens in a new tab)
- TKDE (T1)Characterizing Submanifold Region for Out-of-Distribution Detection (opens in a new tab)
- ICDE (T1)Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract) (opens in a new tab)
- Big Data Min. Anal.Disentangling Reasoning Factors for Natural Language Inference (opens in a new tab)
- IJCAI (T1)Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis (opens in a new tab)
- ICKGEagleCare: Augmenting ICU Monitoring with LLMs and Knowledge Graph Reasoning (opens in a new tab)
- ICML (T1)Efficient Personalized Adaptation for Physiological Signal Foundation Model (opens in a new tab)
- KDD (T1)Enhancing Bone Mineral Density Estimation from X-ray Images with Cross-Modal Knowledge Distillation (opens in a new tab)
- ACL (T1)EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary (opens in a new tab)
- IEEE Trans. Mob. Comput.FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting (opens in a new tab)
- Neural NetworksFrequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection (opens in a new tab)
202417 papers
- Neural NetworksAdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation (opens in a new tab)
- ECCV (T1)Attention Beats Linear for Fast Implicit Neural Representation Generation (opens in a new tab)
- IEEE J. Biomed. Health InformaticsAttention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition (opens in a new tab)
- ICDE (T1)CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks (opens in a new tab)
- ICPRDense Coordinate Channel Attention Network for Depression Level Estimation from Speech (opens in a new tab)
- WWW (T1)Disentangled Anomaly Detection For Multivariate Time Series (opens in a new tab)
- SIGIR (T1)EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval (opens in a new tab)
- Inf. FusionGraph spatiotemporal process for multivariate time series anomaly detection with missing values (opens in a new tab)
- ICASSP (T1)Inversive-Reasoning Augmentation for Natural Language Inference (opens in a new tab)
- IEEE Trans. Mob. Comput.Learning Co-occurrence Patterns for Next Destination Recommendation (opens in a new tab)
- Findings of NAACLMatching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings (opens in a new tab)
- Interspeech (T1)MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition (opens in a new tab)
202311 papers
- NeurIPS (T1)Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series (opens in a new tab)
- Information SciencesDynamic data-free knowledge distillation by easy-to-hard learning strategy (opens in a new tab)
- Neural NetworksHierarchical Knowledge Propagation and Distillation for Few-Shot Learning (opens in a new tab)
- ICASSP (T1)Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition (opens in a new tab)
- ICMEImplicit Neural Distance Optimization for Mesh Neural Subdivision (opens in a new tab)
- EURASIP J. Wirel. Commun. Netw.Machine learning for trust, security, and privacy in computing and communications (opens in a new tab)
- ICCV (T1)Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.RSG-Net: A Recurrent Similarity Network With Ghost Convolution for Wheelset Laser Stripe Image Inpainting (opens in a new tab)
- Knowl. Based Syst.Source-free semi-supervised domain adaptation via progressive Mixup (opens in a new tab)
- Interspeech (T1)SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition (opens in a new tab)
- WWW (T1)The 3rd International Workshop on Deep Learning for the Web of Things (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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