Hao Huang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Frequent Subgraphs

Arbitrary Shaped

Top Venues

J. Intell. Inf. Syst.

Expert Syst. Appl.

Publications

Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases. CoRR (2024)
Ting Yu, Ting Jiang, Mohamed Jaward Bah, Chen Zhao, Hao Huang, Mengchi Liu, Shuigeng Zhou, Zhao Li, Ji Zhang
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley
Towards Independence Criterion in Machine Unlearning of Features and Labels. CoRR (2024)
Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang
Learning Diffusions under Uncertainty. AAAI (2024)
Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang
Self-Supervised Learning for Graph Dataset Condensation. KDD (2024)
Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yan
Learning Diffusions under Uncertainty. CoRR (2023)
Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
Multi-aspect Diffusion Network Inference. WWW (2023)
Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
Reconstructing Diffusion Networks from Incomplete Data. IJCAI (2022)
Ruiting Zhou, Xueying Zhang, Shixin Qin, John C. S. Lui, Zhi Zhou, Hao Huang, Zongpeng Li
Online Task Offloading for 5G Small Cell Networks. IEEE Trans. Mob. Comput. 21 (6) (2022)
Yuting Chen, Jiannan Mao, Hao Huang, Qipeng Yan, Wei Lu, Lan Liu
Analysis of Different Graph Convolutional Network Prediction Models with Spatial Dependence Evaluation. ITSC (2021)
Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu
Metric Learning via Penalized Optimization. KDD (2021)
Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li
Diffusion Network Inference from Partial Observations. AAAI (2021)
Hao Huang, Qian Yan, Lu Chen, Yunjun Gao, Christian S. Jensen
Statistical Inference of Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Yuhang Deng, Hao Huang, Xu Chen, Zuopeng Liu, Sai Wu, Jifeng Xuan, Zongpeng Li
From Code to Natural Language: Type-Aware Sketch-Based Seq2Seq Learning. DASFAA (1) (2020)
Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, Yunjun Gao
Statistical Estimation of Diffusion Network Topologies. ICDE (2020)
Hao Huang, Qian Yan, Wei Lu, Huaizhong Lin, Yunjun Gao, Lei Chen
LERI: Local Exploration for Rare-Category Identification. IEEE Trans. Knowl. Data Eng. 32 (9) (2020)
Pengjie Ding, Yijian Cheng, Wei Lu, Hao Huang, Xiaoyong Du
Which Category Is Better: Benchmarking the RDBMSs and GDBMSs. APWeb/WAIM (2) (2019)
Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao
Learning Diffusions without Timestamps. AAAI (2019)
Lianhang Ma, Kevin Chiew, Hao Huang, Qinming He
Evaluation of local community metrics: from an experimental perspective. J. Intell. Inf. Syst. 51 (1) (2018)
Tongtong Wang, Hao Huang, Wei Lu, Zhe Peng, Xiaoyong Du
Efficient and Scalable Mining of Frequent Subgraphs Using Distributed Graph Processing Systems. DASFAA (1) (2018)
Zhe Peng, Tongtong Wang, Wei Lu, Hao Huang, Xiaoyong Du, Feng Zhao, Anthony K. H. Tung
Mining frequent subgraphs from tremendous amount of small graphs using MapReduce. Knowl. Inf. Syst. 56 (3) (2018)
Wei Lu, Xinyi Zhang, Zhiyu Shui, Zhe Peng, Xiao Zhang, Xiaoyong Du, Hao Huang, Xiaoyu Wang, Anqun Pan, Haixiang Li
MSQL+: a Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems. Proc. VLDB Endow. 11 (12) (2018)
Qian Yan, Hao Huang, Yunjun Gao, Wei Lu, Qinming He
Group-Level Influence Maximization with Budget Constraint. DASFAA (1) (2017)
Hao Huang, Qian Yan, Yao Zhao, Wei Lu, Zhenguang Liu, Zongpeng Li
False data separation for data security in smart grids. Knowl. Inf. Syst. 52 (3) (2017)
Chen Ying, Hao Huang, Ajay Gopinathan, Zongpeng Li
A Prior-Free Spectrum Auction for Approximate Revenue Maximization. Comput. J. 60 (6) (2017)
Song Wang, Hao Huang, Yunjun Gao, Tieyun Qian, Liang Hong, Zhiyong Peng
Fast Rare Category Detection Using Nearest Centroid Neighborhood. APWeb (1) (2016)
Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu
A formalized framework for incorporating expert labels in crowdsourcing environment. J. Intell. Inf. Syst. 47 (3) (2016)
Qian Yan, Hao Huang, Yunjun Gao, Chen Ying, Qingyang Hu, Tieyun Qian, Qinming He
Modeling for Noisy Labels of Crowd Workers. APWeb (2) (2016)
Hao Huang, Song Wang, Shuangke Wu, Yunjun Gao, Wei Lu, Qinming He, Shi Ying
Mining Arbitrary Shaped Clusters and Outputting a High Quality Dendrogram. DEXA (1) (2016)
Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Yunjun Gao
Rare Category Exploration on Linear Time Complexity. DASFAA (2) (2015)
Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Zhenguang Liu
Toward seed-insensitive solutions to local community detection. J. Intell. Inf. Syst. 43 (1) (2014)
Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu
Learning from Crowds under Experts' Supervision. PAKDD (1) (2014)
Hao Huang, Kevin Chiew, Yunjun Gao, Qinming He, Qing Li
Rare category exploration. Expert Syst. Appl. 41 (9) (2014)
Hao Huang, Yunjun Gao, Kevin Chiew, Lei Chen, Qinming He
Towards effective and efficient mining of arbitrary shaped clusters. ICDE (2014)
Zhenguang Liu, Kevin Chiew, Qinming He, Hao Huang, Butian Huang
Prior-free rare category detection: More effective and efficient solutions. Expert Syst. Appl. 41 (17) (2014)
Hao Huang, Yunjun Gao, Kevin Chiew, Qinming He, Baihua Zheng
Unsupervised analysis of top-k core members in poly-relational networks. Expert Syst. Appl. 41 (13) (2014)
Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Lianhang Ma
Rare Category Detection on O(dN) Time Complexity. PAKDD (2) (2014)
Qingyang Hu, Kevin Chiew, Hao Huang, Qinming He
Recovering Missing Labels of Crowdsourcing Workers. SDM (2014)
Feng Qian, Kevin Chiew, Qinming He, Hao Huang
Mining regional co-location patterns with kNNG. J. Intell. Inf. Syst. 42 (3) (2014)
Feng Qian, Kevin Chiew, Qinming He, Hao Huang, Lianhang Ma
-Nearest Neighbor Graph. PAKDD (1) (2013)
Hao Huang, Yunjun Gao, Lu Chen, Rui Li, Kevin Chiew, Qinming He
Browse with a social web directory. SIGIR (2013)
Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Jianan Wu, Yanzhe Che
GMAC: A Seed-Insensitive Approach to Local Community Detection. DaWaK (2013)
Hao Huang, Yunjun Gao, Kevin Chiew, Qinming He, Lu Chen
Commodity query by snapping. SIGIR (2013)
Hao Huang, Qinming He, Kevin Chiew, Feng Qian, Lianhang Ma
CLOVER: a faster prior-free approach to rare-category detection. Knowl. Inf. Syst. 35 (3) (2013)
Hao Huang, Qinming He, Jiangfeng He, Lianhang Ma
RADAR: Rare Category Detection via Computation of Boundary Degree. PAKDD (2) (2011)