Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning [pdf] [code]
Hao Yu, Xin Yang, Xin Gao, Yihui Feng, Hao Wang, Yan Kang, and Tianrui Li
Proceedings of the 32st ACM International Conference on Multimedia (ACMMM), 2024.
Personalized Federated Continual Learning via Multi-Granularity Prompt [pdf] [code]
Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, and Tianrui Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
Learning to Prompt Knowledge Transfer for Open-World Continual Learning [pdf] [code]
Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, and Tianrui Li
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries [pdf]
Songsong Mo, Yile Chen, Hao Wang, Gao Cong, and Zhifeng Bao
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024.
Cross-regional Fraud Detection via Continual Learning with Knowledge Transfer [pdf]
Yujie Li, Xin Yang, Qiang Gao, Hao Wang, Junbo Zhang, and Tianrui Li
IEEE Transactions on Knowledge and Data Engineering, 36(12): 7865-7877, 2024.
Federated Continual Learning via Knowledge Fusion: A Survey [pdf]
Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, and Tianrui Li
IEEE Transactions on Knowledge and Data Engineering, 36(8): 3832-3850, 2024.
Hi-Core: Hierarchical Knowledge Transfer for Continual Reinforcement Learning [pdf]
Chaofan Pan, Xin Yang, Hao Wang, Wei Wei, and Tianrui Li
arXiv:2401.15098 [cs.LG], 2024.
-2023-
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling [pdf] [code]
Hao Wang, Zhi-Qi Cheng, Jingdong Sun, Xin Yang, Xiao Wu, Hongyang Chen, and Yan Yang
Proceedings of the 31st ACM International Conference on Multimedia (ACMMM), 2023.
CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization [pdf] [code]
Xiaobo Zhang, Yutao Liu, Hao Wang, Wei Wang, Panpan Ni, and Ji Zhang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023.
Urban Region Representation Learning with OpenStreetMap Building Footprints [pdf] [code]
Yi Li, Weiming Huang, Gao Cong, Hao Wang, and Zheng Wang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
CityTrans: Domain-Adversarial Training with Knowledge Transfer for Spatio-Temporal Prediction across Cities [pdf]
Xiaocao Ouyang, Yan Yang, Wei Zhou, Yiling Zhang, Hao Wang, and Wei Huang
IEEE Transactions on Knowledge and Data Engineering, 36(1): 62-76, 2024.
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning [pdf]
Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, and Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering, 35(10): 10166-10180, 2023.
-2022-
Feature Selection with Local Density-based Fuzzy Rough Set Model for Noisy Data [pdf]
Xiaoling Yang, Hongmei Chen, Hao Wang, Tianrui Li, Zeng Yu, Zhihong Wang, and Chuan Luo
IEEE Transactions on Fuzzy Systems, 31(5): 1614-1627, 2023.
Multi-scale Progressive Gated Transformer for Physiological Signal Classification [pdf]
Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, and Dongjie Wang
Proceedings of the 14th Asian Conference on Machine Learning (ACML), 2022.
-2021-
Deep Matrix Factorization with Knowledge Transfer for Lifelong Clustering and Semi-supervised Clustering [pdf]
Yiling Zhang, Hao Wang, Yan Yang, Wei Zhou, Tianrui Li, Xiaocao Ouyang, and Hongyang Chen
Information Sciences, Vol. 570, pp. 795-814, 2021.
Multi-view Clustering via Deep Concept Factorization [pdf] [code]
Shuai Chang, Jie Hu, Tianrui Li, Hao Wang, and Bo Peng
Knowledge-Based Systems, Volume 217, 2021. (Early Access)
Multi-city Traffic Flow Forecasting via Multi-task Learning [pdf]
Yiling Zhang, Yan Yang, Wei Zhou, Hao Wang, and Xiaocao Ouyang
Applied Intelligence, Vol. 51, pp. 6895-6913, 2021.
-2020-
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification [pdf]
Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, and Tianrui Li
Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.
Continual Learning with Knowledge Transfer for Sentiment Classification [pdf] [code]
Zixuan Ke, Bing Liu, Hao Wang, and Lei Shu
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.
Entity-aware Dependency-based Deep Graph Attention Network for Comparative Preference Classification [pdf] [code]
Nianzu Ma, Sahisnu Mazumder, Hao Wang, and Bing Liu
Proceedings of the 2020 Annual Conference of the Association for Computational Linguistics (ACL), 2020.
Parallel Multi-view Concept Clustering in Distributed Computing [pdf]
Hao Wang, Yan Yang, Xiaobo Zhang, and Bo Peng
Neural Computing and Applications, Vol. 32, pp. 5621-5631, 2020.
GMC: Graph-based Multi-view Clustering [pdf] [code]
Hao Wang, Yan Yang, and Bing Liu
IEEE Transactions on Knowledge and Data Engineering, 32(6): 1116-1129, 2020.
-2019-
Deep Neural Networks with Broad Views for Parkinson's Disease Screening [pdf]
Xiaobo Zhang, Yan Yang, Hao Wang, Shangming Ning, and Heng Wang
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.
Forward and Backward Knowledge Transfer for Sentiment Classification [pdf] [code]
Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, and Yan Yang
Proceedings of the Asian Conference on Machine Learning (ACML), 2019.
Learning with Noisy Labels for Sentence-level Sentiment Classification [pdf] [code]
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, and Tianrui Li
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
Partially Shared Adversarial Learning for Semi-supervised Multi-platform User Identity Linkage [pdf]
Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, and Zhoujun Li
Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2019.
Spectral Perturbation Meets Incomplete Multi-view Data [pdf] [code]
Hao Wang, Linlin Zong, Bing Liu, Yan Yang, and Wei Zhou
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.
Consensus Graph Learning for Incomplete Multi-view Clustering [pdf] [code]
Wei Zhou, Hao Wang, and Yan Yang
Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019.
Discovering Senile Dementia from brain MRI using Ra-DenseNet [pdf]
Xiaobo Zhang, Yan Yang, Tianrui Li, Hao Wang, and Ziqing He
Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019.
A Study of Graph-based System for Multi-view Clustering [pdf] [code]
Hao Wang, Yan Yang, Bing Liu, and Hamido Fujita
Knowledge-Based Systems, Vol. 163, pp. 1009-1019, 2019.
-2018 and earlier-
Multi-view Clustering: A Survey [pdf]
Yan Yang, and Hao Wang
Big Data Mining and Analytics, Vol. 1, No. 2, pp. 83-107, 2018.
Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology [pdf]
Yan Yang, Fei Teng, Tianrui Li, Hao Wang, Hongjun Wang, and Qi Zhang
IEEE Transactions on Cloud Computing, Vol. 6, No. 3, pp. 857-867, 2018.
Multi-View Clustering via Concept Factorization with Local Manifold Regularization [pdf] [code]
Hao Wang, Yan Yang, and Tiarui Li
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2016.