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Hao Wang 0013
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Publications
- 2023
- [j16]Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang, Rui Mao, Xiangliang Zhang:
Dynamic Set Similarity Join: An Update Log Based Approach. IEEE Trans. Knowl. Data Eng. 35(4): 3727-3741 (2023) - [j15]Tingting Zhai, Hao Wang:
Online Passive-Aggressive Multilabel Classification Algorithms. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10116-10129 (2023) - 2022
- [j14]Binbin Zhang, Hao Wang, Leong Hou U:
Dynamic top-k influence maximization in social networks. GeoInformatica 26(2): 323-346 (2022) - [j13]Jing Li, Billy Chiu, Shanshan Feng, Hao Wang:
Few-Shot Named Entity Recognition via Meta-Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4245-4256 (2022) - 2021
- [j12]Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. IEEE J. Biomed. Health Informatics 25(9): 3258-3269 (2021) - [j11]Yan Li, Hao Wang, Ngai Meng Kou, Leong Hou U, Zhiguo Gong:
Crowdsourced top-k queries by pairwise preference judgments with confidence and budget control. VLDB J. 30(2): 189-213 (2021) - [c20]Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang:
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage. AAAI 2021: 689-696 - 2020
- [j10]Hao Wang, Shunzhi Zhu:
Multisource Aggregation Search and Scheduling for Remote Sensing Data Cluster. IEEE Geosci. Remote. Sens. Lett. 17(2): 352-356 (2020) - 2019
- [j9]Tingting Zhai, Frédéric Koriche, Hao Wang, Yang Gao:
Tracking Sparse Linear Classifiers. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2079-2092 (2019) - [c19]Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao:
A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. PAKDD (2) 2019: 394-406 - 2018
- [j8]Jinhua Song, Hao Wang, Yang Gao, Bo An:
Active learning with confidence-based answers for crowdsourcing labeling tasks. Knowl. Based Syst. 159: 244-258 (2018) - [j7]Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang:
Joint user knowledge and matrix factorization for recommender systems. World Wide Web 21(4): 1141-1163 (2018) - [c18]Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen:
An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward. AAMAS 2018: 2130-2132 - [c17]Jinhua Song, Yang Gao, Hao Wang:
Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network. ICONIP (1) 2018: 350-361 - [c16]Tingting Zhai, Hao Wang, Frédéric Koriche, Yang Gao:
Online Feature Selection by Adaptive Sub-gradient Methods. ECML/PKDD (2) 2018: 430-446 - [c15]Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao:
Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution. PRICAI 2018: 482-490 - 2017
- [j6]Yonghong Yu, Can Wang, Hao Wang, Yang Gao:
Attributes coupling based matrix factorization for item recommendation. Appl. Intell. 46(3): 521-533 (2017) - [j5]Tingting Zhai, Yang Gao, Hao Wang, Longbing Cao:
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. Data Min. Knowl. Discov. 31(5): 1242-1265 (2017) - [j4]Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung:
Personalized location recommendation by aggregating multiple recommenders in diversity. GeoInformatica 21(3): 459-484 (2017) - [j3]Yan Li, Ngai Meng Kou, Hao Wang, Leong Hou U, Zhiguo Gong:
A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing. Proc. VLDB Endow. 10(12): 1909-1912 (2017) - [c14]Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao:
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation. PAKDD (2) 2017: 119-130 - [c13]Ngai Meng Kou, Yan Li, Hao Wang, Leong Hou U, Zhiguo Gong:
Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments. SIGMOD Conference 2017: 1415-1430 - 2016
- [c12]Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen:
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. AAAI 2016: 2258-2264 - [c11]Jinhua Song, Yang Gao, Hao Wang, Bo An:
Measuring the Distance Between Finite Markov Decision Processes. AAMAS 2016: 468-476 - [c10]Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang:
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data. ICDM 2016: 1251-1256 - [c9]Xiaolong Qi, Yinghuan Shi, Hao Wang, Yang Gao:
Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering. IDEAL 2016: 405-415 - [c8]Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao:
Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering. IDEAL 2016: 426-435 - [c7]Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang:
Joint User Knowledge and Matrix Factorization for Recommender Systems. WISE (1) 2016: 77-91 - 2015
- [c6]Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao:
Interactive image segmentation via cascaded metric learning. ICIP 2015: 2900-2904 - [c5]Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung:
Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity. LocalRec@RecSys 2015: 28-35 - [c4]Hao Wang, Nana Pan, Leong Hou U, Bohan Zhan, Zhiguo Gong:
On Dynamic Top-k Influence Maximization. WAIM 2015: 549-553 - 2013
- [c3]Hao Wang, Manolis Terrovitis, Nikos Mamoulis:
Location recommendation in location-based social networks using user check-in data. SIGSPATIAL/GIS 2013: 364-373 - 2010
- [j1]Hao Wang, Yang Gao, Xingguo Chen:
RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games. IEEE Trans. Comput. Intell. AI Games 2(1): 17-26 (2010) - 2009
- [c2]Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao:
Apply ant colony optimization to Tetris. GECCO 2009: 1741-1742
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