Apply ant colony optimization to Tetris. - Xingguo Chen; Hao Wang 013; Weiwei Wang 002; Yinghuan Shi; Yang Gao 001 (GECCO, 2009)

A Safe Approach to Shrink Email Sample Set while Keeping Balance between Spam and Normal. - Lili Diao; Hao Wang 013 (SSIRI, 2009)

RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games. - Hao Wang 013; Yang Gao 001; Xingguo Chen (IEEE Trans. Comput. Intell. AI Games, 2010)

Training SVM email classifiers using very large imbalanced dataset. - Lili Diao; Chengzhong Yang; Hao Wang 013 (J. Exp. Theor. Artif. Intell., 2012)

Location recommendation in location-based social networks using user check-in data. - Hao Wang 013; Manolis Terrovitis; Nikos Mamoulis (SIGSPATIAL/GIS, 2013)

Durable Queries over Historical Time Series. - Hao Wang 013; Yilun Cai; Yin David Yang; Shiming Zhang; Nikos Mamoulis (IEEE Trans. Knowl. Data Eng., 2014)

Advanced rank-aware queries and recommendation with novel types of data. - Hao Wang 013 (2014)

Interactive image segmentation via cascaded metric learning. - Wenbin Li 006; Yinghuan Shi; Wanqi Yang; Hao Wang 013; Yang Gao 001 (ICIP, 2015)

On Dynamic Top-k Influence Maximization. - Hao Wang 013; Nana Pan; Leong Hou U; Bohan Zhan; Zhiguo Gong (WAIM, 2015)

Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. - Shangdong Yang; Yang Gao 001; Bo An 001; Hao Wang 013; Xingguo Chen (AAAI, 2016)

Measuring the Distance Between Finite Markov Decision Processes. - Jinhua Song; Yang Gao 001; Hao Wang 013; Bo An 001 (AAMAS, 2016)

A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data. - Huihui Wang; Yang Gao 001; Yinghuan Shi; Hao Wang 013 (ICDM, 2016)

Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering. - Xiaolong Qi; Yinghuan Shi; Hao Wang 013; Yang Gao 001 (IDEAL, 2016)

Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering. - Chenyu Zhang; Hao Wang 013; Shangdong Yang; Yang Gao 001 (IDEAL, 2016)

Exploiting Location Significance and User Authority for Point-of-Interest Recommendation. - Yonghong Yu; Hao Wang 013; Shuanzhu Sun; Yang Gao 001 (PAKDD (2), 2017)

Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments. - Ngai Meng Kou; Yan Li 122; Hao Wang 013; Leong Hou U; Zhiguo Gong (SIGMOD Conference, 2017)

Attributes coupling based matrix factorization for item recommendation. - Yonghong Yu; Can Wang 004; Hao Wang 013; Yang Gao 001 (Appl. Intell., 2017)

Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. - Tingting Zhai; Yang Gao 001; Hao Wang 013; Longbing Cao (Data Min. Knowl. Discov., 2017)

Personalized location recommendation by aggregating multiple recommenders in diversity. - Ziyu Lu; Hao Wang 013; Nikos Mamoulis; Wenting Tu; David W. Cheung (GeoInformatica, 2017)

A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing. - Yan Li 122; Ngai Meng Kou; Hao Wang 013; Leong Hou U; Zhiguo Gong (Proc. VLDB Endow., 2017)

An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward. - Shangdong Yang; Hao Wang 013; Yang Gao 001; Xingguo Chen (AAMAS, 2018)

Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network. - Jinhua Song; Yang Gao 001; Hao Wang 013 (ICONIP (1), 2018)

Online Feature Selection by Adaptive Sub-gradient Methods. - Tingting Zhai; Hao Wang 013; Frédéric Koriche; Yang Gao 001 (ECML/PKDD (2), 2018)

Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution. - Yang Lv; Lei Qi 001; Jing Huo; Hao Wang 013; Yang Gao 001 (PRICAI, 2018)

Active learning with confidence-based answers for crowdsourcing labeling tasks. - Jinhua Song; Hao Wang 013; Yang Gao 001; Bo An 001 (Knowl. Based Syst., 2018)

Joint user knowledge and matrix factorization for recommender systems. - Yonghong Yu; Yang Gao 001; Hao Wang 013; Ruili Wang (World Wide Web, 2018)

Measuring Structural Similarities in Finite MDPs. - Hao Wang 013; Shaokang Dong; Ling Shao 001 (IJCAI, 2019)

A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. - Chenyu Zhang; Hao Wang 013; Shangdong Yang; Yang Gao 001 (PAKDD (2), 2019)

Tracking Sparse Linear Classifiers. - Tingting Zhai; Frédéric Koriche; Hao Wang 013; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions. - Shangdong Yang; Hao Wang 013; Chenyu Zhang; Yang Gao 001 (IEEE Intell. Syst., 2020)

Preference-aware sequence matching for location-based services. - Hao Wang 013; Ziyu Lu (GeoInformatica, 2020)

Multisource Aggregation Search and Scheduling for Remote Sensing Data Cluster. - Hao Wang 013; Shunzhi Zhu (IEEE Geosci. Remote. Sens. Lett., 2020)

Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage. - Chengcheng Yang; Lisi Chen 001; Hao Wang 013; Shuo Shang (AAAI, 2021)

Virtual machine placement strategy using cluster-based genetic algorithm. - Binbin Zhang; Xiao Wang; Hao Wang 013 (Neurocomputing, 2021)

Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. - Yinghuan Shi; Wanqi Yang; Kim-Han Thung; Hao Wang 013; Yang Gao 001; Yang Pan; Li Zhang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2021)

Crowdsourced top-k queries by pairwise preference judgments with confidence and budget control. - Yan Li 122; Hao Wang 013; Ngai Meng Kou; Leong Hou U; Zhiguo Gong (VLDB J., 2021)

Dynamic top-k influence maximization in social networks. - Binbin Zhang; Hao Wang 013; Leong Hou U (GeoInformatica, 2022)

Few-Shot Named Entity Recognition via Meta-Learning. - Jing Li 034; Billy Chiu; Shanshan Feng 001; Hao Wang 013 (IEEE Trans. Knowl. Data Eng., 2022)

Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract). - Jing Li 034; Billy Chiu; Shanshan Feng 001; Hao Wang 013 (ICDE, 2023)

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. - Yuxiang Wang; Xiao Yan 002; Chuang Hu; Fangcheng Fu; Wentao Zhang 001; Hao Wang 013; Shuo Shang; Jiawei Jiang 001 (CoRR, 2023)

Joint optimization of scoring and thresholding models for online multi-label classification. - Tingting Zhai; Hao Wang 013; Hongcheng Tang (Pattern Recognit., 2023)

Dynamic Set Similarity Join: An Update Log Based Approach. - Chengcheng Yang; Lisi Chen 001; Hao Wang 013; Shuo Shang; Rui Mao 001; Xiangliang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Online Passive-Aggressive Multilabel Classification Algorithms. - Tingting Zhai; Hao Wang 013 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. - Yuxiang Wang; Xiao Yan 002; Chuang Hu; Quanqing Xu; Chuanhui Yang; Fangcheng Fu; Wentao Zhang 001; Hao Wang 013; Bo Du 001; Jiawei Jiang 001 (ICDE, 2024)

Secure spatial remote sensing image matching. - Yi Wei; Xuan Zhou; Hao Huang 001; Hao Wang 013; Chuang Hu; Jiawei Jiang 001 (GeoInformatica, 2025)