Hao Wang

52 papers A* 8A 3B 2C 2Journal 25Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
AviationCopilot: Building a reliable LLM-based Aviation Copilot inspired by human pilot training.
Adv. Eng. Informatics
Zhuorui Zhang, Shanshan Feng, Tiance Yang, Ruobing Huang, Hao Wang, Fu Wang, Fan Li
2026 A* conf
Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub.
AAAI
Ling Ding, Tianbai Lyu, Zhiliang Bi, Hao Wang, Shanshan Feng, Wei Yu
2026 A* conf
Text-attributed Graph Condensation via Text Selection and Attribute Matching.
WWW
Haowei Han, Yuxiang Wang, Guojia Wan, Hao Wang, Shanshan Feng, Hao Huang, Jiawei Jiang, Xiao Yan
2025 — conf
InC: A Vertical Federated Learning Framework with Multiple Noisy Labels.
DASFAA (5)
Ruixuan Zhang, Ziyi Li, Xiao Yan, Xiaokai Zhou, Hao Wang, Hao Huang, Jiawei Jiang
2025 J jnl
Secure spatial remote sensing image matching.
GeoInformatica
Yi Wei, Xuan Zhou, Hao Huang, Hao Wang, Chuang Hu, Jiawei Jiang
2024 A* conf
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
ICDE
Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang
2023 J jnl
Dynamic Set Similarity Join: An Update Log Based Approach.
IEEE Trans. Knowl. Data Eng.
Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang, Rui Mao, Xiangliang Zhang
2023 A* conf
Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract).
ICDE
Jing Li, Billy Chiu, Shanshan Feng, Hao Wang
2023 J jnl
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
CoRR
Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang
2023 J jnl
Joint optimization of scoring and thresholding models for online multi-label classification.
Pattern Recognit.
Tingting Zhai, Hao Wang, Hongcheng Tang
2023 J jnl
Online Passive-Aggressive Multilabel Classification Algorithms.
IEEE Trans. Neural Networks Learn. Syst.
Tingting Zhai, Hao Wang
2022 J jnl
Dynamic top-k influence maximization in social networks.
GeoInformatica
Binbin Zhang, Hao Wang, Leong Hou U
2022 J jnl
Few-Shot Named Entity Recognition via Meta-Learning.
IEEE Trans. Knowl. Data Eng.
Jing Li, Billy Chiu, Shanshan Feng, Hao Wang
2021 J jnl
Crowdsourced top-k queries by pairwise preference judgments with confidence and budget control.
VLDB J.
Yan Li, Hao Wang, Ngai Meng Kou, Leong Hou U, Zhiguo Gong
2021 J jnl
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective.
IEEE J. Biomed. Health Informatics
Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen
2021 A* conf
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage.
AAAI
Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang
2021 J jnl
Virtual machine placement strategy using cluster-based genetic algorithm.
Neurocomputing
Binbin Zhang, Xiao Wang, Hao Wang
2020 J jnl
Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions.
IEEE Intell. Syst.
Shangdong Yang, Hao Wang, Chenyu Zhang, Yang Gao
2020 J jnl
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective.
CoRR
Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen
2020 J jnl
Multisource Aggregation Search and Scheduling for Remote Sensing Data Cluster.
IEEE Geosci. Remote. Sens. Lett.
Hao Wang, Shunzhi Zhu
2020 J jnl
Preference-aware sequence matching for location-based services.
GeoInformatica
Hao Wang, Ziyu Lu
2019 — conf
A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions.
PAKDD (2)
Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao
2019 A* conf
Measuring Structural Similarities in Finite MDPs.
IJCAI
Hao Wang, Shaokang Dong, Ling Shao
2019 J jnl
Tracking Sparse Linear Classifiers.
IEEE Trans. Neural Networks Learn. Syst.
Tingting Zhai, Frédéric Koriche, Hao Wang, Yang Gao
2018 J jnl
Active learning with confidence-based answers for crowdsourcing labeling tasks.
Knowl. Based Syst.
Jinhua Song, Hao Wang, Yang Gao, Bo An
2018 A conf
An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward.
AAMAS
Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen
2018 — conf
Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network.
ICONIP (1)
Jinhua Song, Yang Gao, Hao Wang
2018 B conf
Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution.
PRICAI
Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao
2018 J jnl
Joint user knowledge and matrix factorization for recommender systems.
World Wide Web
Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang
2018 — conf
Online Feature Selection by Adaptive Sub-gradient Methods.
ECML/PKDD (2)
Tingting Zhai, Hao Wang, Frédéric Koriche, Yang Gao
2017 J jnl
A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing.
Proc. VLDB Endow.
Yan Li, Ngai Meng Kou, Hao Wang, Leong Hou U, Zhiguo Gong
2017 J jnl
Attributes coupling based matrix factorization for item recommendation.
Appl. Intell.
Yonghong Yu, Can Wang, Hao Wang, Yang Gao
2017 J jnl
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble.
Data Min. Knowl. Discov.
Tingting Zhai, Yang Gao, Hao Wang, Longbing Cao
2017 — conf
Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments.
SIGMOD Conference
Ngai Meng Kou, Yan Li, Hao Wang, Leong Hou U, Zhiguo Gong
2017 — conf
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation.
PAKDD (2)
Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao
2017 J jnl
Personalized location recommendation by aggregating multiple recommenders in diversity.
GeoInformatica
Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung
2016 A* conf
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data.
ICDM
Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang
2016 A* conf
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values.
AAAI
Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen
2016 C conf
Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering.
IDEAL
Xiaolong Qi, Yinghuan Shi, Hao Wang, Yang Gao
2016 C conf
Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering.
IDEAL
Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao
2016 — conf
Joint User Knowledge and Matrix Factorization for Recommender Systems.
WISE (1)
Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang
2016 A conf
Measuring the Distance Between Finite Markov Decision Processes.
AAMAS
Jinhua Song, Yang Gao, Hao Wang, Bo An
2015 B conf
Interactive image segmentation via cascaded metric learning.
ICIP
Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao
2015 — conf
On Dynamic Top-k Influence Maximization.
WAIM
Hao Wang, Nana Pan, Leong Hou U, Bohan Zhan, Zhiguo Gong
2015 — conf
Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity.
LocalRec@RecSys
Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung
2014 — —
Advanced rank-aware queries and recommendation with novel types of data.
Hao Wang
2014 J jnl
Durable Queries over Historical Time Series.
IEEE Trans. Knowl. Data Eng.
Hao Wang, Yilun Cai, Yin David Yang, Shiming Zhang, Nikos Mamoulis
2013 — conf
Location recommendation in location-based social networks using user check-in data.
SIGSPATIAL/GIS
Hao Wang, Manolis Terrovitis, Nikos Mamoulis
2012 J jnl
Training SVM email classifiers using very large imbalanced dataset.
J. Exp. Theor. Artif. Intell.
Lili Diao, Chengzhong Yang, Hao Wang
2010 J jnl
RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games.
IEEE Trans. Comput. Intell. AI Games
Hao Wang, Yang Gao, Xingguo Chen
2009 — conf
A Safe Approach to Shrink Email Sample Set while Keeping Balance between Spam and Normal.
SSIRI
Lili Diao, Hao Wang
2009 A conf
Apply ant colony optimization to Tetris.
GECCO
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao