Wang, Haishuai

17 publications

IJCAI 2025 A Centrality-Based Graph Learning Framework Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang

IJCAI 2025 Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang

ICML 2025 Efficient Personalized Adaptation for Physiological Signal Foundation Model Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu

IJCAI 2025 ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang

AAAI 2025 Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang

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

CVPR 2025 Multi-Modal Medical Diagnosis via Large-Small Model Collaboration Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang

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

ICML 2025 Towards a Unified Framework of Clustering-Based Anomaly Detection Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu

NeurIPS 2025 Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts Zhihao Wu, Jinyu Cai, Yunhe Zhang, Jielong Lu, Zhaoliang Chen, Shuman Zhuang, Haishuai Wang

ECCV 2024 Attention Beats Linear for Fast Implicit Neural Representation Generation Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhihua Wang, Jiajun Bu, Haishuai Wang

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

ICCV 2023 Partition Speeds up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han

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

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

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

AAAI 2017 Boosting for Real-Time Multivariate Time Series Classification Haishuai Wang, Jun Wu