Haishuai Wang
27 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
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Conferences
AAAI (6)
INTERSPEECH (5)
ACL (4)
IJCAI (4)
ICML (2)
NIPS (2)
CVPR (1)
ECCV (1)
ICCV (1)
NAACL (1)
Top co-authors
Research topics
Keywords
graph neural network
(6)
attention mechanism
(6)
large language model
(5)
representation learning
(4)
implicit neural representation
(3)
contrastive learning
(3)
emotion recognition
(2)
mixture of expert
(2)
hallucination detection
(2)
speech emotion recognition
(2)
convolutional neural network
(2)
knowledge distillation
(2)
multimodal learning
(2)
feature fusion
(2)
self-supervised learning
(1)
feature extraction
(1)
collaborative filtering
(1)
graph anomaly detection
(1)
federated learning
(1)
object detection
(1)
Papers
Unifying Multi-View Knowledge for Graph Learning via Model Collaboration
AAAI 2026
RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models
ACL 2026
SCOUT: Selective Coupling via Optimal Unbalanced Transport for Interpretable Text Classification
ACL 2026
Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection
AAAI 2026
Long-form Hallucination Detection with Self-elicitation
ACL 2025
Multi-modal Medical Diagnosis via Large-small Model Collaboration
CVPR 2025
A Centrality-based Graph Learning Framework
IJCAI 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
AAAI 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
AAAI 2025
EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary
ACL 2025
Towards a Unified Framework of Clustering-based Anomaly Detection
ICML 2025
Efficient Personalized Adaptation for Physiological Signal Foundation Model
ICML 2025
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
IJCAI 2025
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
IJCAI 2025
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
IJCAI 2025
Attention Beats Linear for Fast Implicit Neural Representation Generation
ECCV 2024
Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings
NAACL 2024
MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition
INTERSPEECH 2024
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
ICCV 2023
SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition
INTERSPEECH 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
NIPS 2023
Hilbert Distillation for Cross-Dimensionality Networks
NIPS 2022
Semi-Discrete Social Recommendation (Student Abstract)
AAAI 2021
Hybrid Network Feature Extraction for Depression Assessment from Speech
INTERSPEECH 2020
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification
AAAI 2020
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition
INTERSPEECH 2019
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition
INTERSPEECH 2018