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ORCIDHao Huang 0001
Person information
- affiliation: Wuhan University, School of Computer Science, China
Other persons with the same name
- Hao Huang — disambiguation page
- Hao Huang 0002 — University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Hao Huang 0003
![[0000-0002-9131-5854]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9131-5854")
— New York University, Brooklyn, NY, USA - Hao Huang 0004 — Southwest Jiaotong University, School of Transportation and Logistics, China
- Hao Huang 0005 — National University of Singapore (and 2 more)
- Hao Huang 0006 — Princeton University, Department of Electrical and Computer Engineering, Princeton, NJ, USA (and 1 more)
- Hao Huang 0007 — GE Global Research, San Ramon, CA, USA (and 1 more)
- Hao Huang 0008 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China
- Hao Huang 0009 — Xinjiang Univerity, School of Information Science and Engineering, Xinjiang Provincial Key Laboratory of Multilingual Information Technology, Urumqi, China (and 1 more)
- Hao Huang 0010 — Huazhong University of Science and Technology, School of Software Engineering, Wuhan, China (and 1 more)
- Hao Huang 0011 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Hao Huang 0012 — Yuan Ze University, Department of Industrial Engineering and Management, Taoyuan, Taiwan (and 1 more)
- Hao Huang 0013 — Nanjing University, School of Atmospheric Sciences, Frontiers Science Center for Critical Earth Material Cycling, Key Laboratory for Mesoscale Severe Weather, Nanjing, China (and 1 more)
- Hao Huang 0014 — Technische Informationsbibliothek (TIB), Hannover, Germany
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2020 – today
- 2024
[j17]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): 1650-1666 (2024)- [c26]Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang:
Learning Diffusions under Uncertainty. AAAI 2024: 20430-20437 - [c25]Xiaokai Zhou, Xiao Yan, Xinyan Li, Hao Huang, Quanqing Xu, Qinbo Zhang, Yen Jerome, Zhaohui Cai, Jiawei Jiang:
VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation. DASFAA (1) 2024: 409-424 - [c24]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: 3289-3298 - [i3]Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley:
Towards Independence Criterion in Machine Unlearning of Features and Labels. CoRR abs/2403.08124 (2024) - [i2]Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez:
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases. CoRR abs/2405.14020 (2024) - 2023
- [c23]Hao Huang, Keqi Han, Beicheng Xu, Ting Gan:
Multi-aspect Diffusion Network Inference. WWW 2023: 82-90 - [i1]Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang:
Learning Diffusions under Uncertainty. CoRR abs/2312.07942 (2023) - 2022
- [j16]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): 2103-2115 (2022) - [c22]Hao Huang, Keqi Han, Beicheng Xu, Ting Gan:
Reconstructing Diffusion Networks from Incomplete Data. IJCAI 2022: 3085-3091 - 2021
- [j15]Shi Ying, Bingming Wang, Lu Wang, Qingshan Li, Yishi Zhao, Jianga Shang, Hao Huang, Guoli Cheng, Zhe Yang, Jiangyi Geng:
An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples. ACM Trans. Knowl. Discov. Data 15(3): 34:1-34:22 (2021) - [j14]Hao Huang, Qian Yan, Lu Chen, Yunjun Gao, Christian S. Jensen:
Statistical Inference of Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33(2): 742-753 (2021) - [c21]Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li:
Diffusion Network Inference from Partial Observations. AAAI 2021: 7493-7500 - [c20]Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu:
Metric Learning via Penalized Optimization. KDD 2021: 656-664 - 2020
- [j13]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): 1761-1772 (2020) - [c19]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: 352-368 - [c18]Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, Yunjun Gao:
Statistical Estimation of Diffusion Network Topologies. ICDE 2020: 625-636
2010 – 2019
- 2019
- [c17]Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao:
Learning Diffusions without Timestamps. AAAI 2019: 582-589 - [c16]Pengjie Ding, Yijian Cheng, Wei Lu, Hao Huang, Xiaoyong Du:
Which Category Is Better: Benchmarking the RDBMSs and GDBMSs. APWeb/WAIM (2) 2019: 207-215 - 2018
- [j12]Lianhang Ma, Kevin Chiew, Hao Huang, Qinming He:
Evaluation of local community metrics: from an experimental perspective. J. Intell. Inf. Syst. 51(1): 1-22 (2018) - [j11]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): 663-690 (2018) - [j10]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): 1970-1973 (2018) - [c15]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: 891-907 - 2017
- [j9]Chen Ying, Hao Huang, Ajay Gopinathan, Zongpeng Li:
A Prior-Free Spectrum Auction for Approximate Revenue Maximization. Comput. J. 60(6): 898-910 (2017) - [j8]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): 815-834 (2017) - [c14]Qian Yan, Hao Huang, Yunjun Gao, Wei Lu, Qinming He:
Group-Level Influence Maximization with Budget Constraint. DASFAA (1) 2017: 625-641 - 2016
- [j7]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): 403-425 (2016) - [c13]Qian Yan, Hao Huang, Yunjun Gao, Chen Ying, Qingyang Hu, Tieyun Qian, Qinming He:
Modeling for Noisy Labels of Crowd Workers. APWeb (2) 2016: 227-238 - [c12]Song Wang, Hao Huang, Yunjun Gao, Tieyun Qian, Liang Hong, Zhiyong Peng:
Fast Rare Category Detection Using Nearest Centroid Neighborhood. APWeb (1) 2016: 383-394 - [c11]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: 153-168 - 2015
- [c10]Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Yunjun Gao:
Rare Category Exploration on Linear Time Complexity. DASFAA (2) 2015: 37-54 - 2014
- [j6]Hao Huang, Kevin Chiew, Yunjun Gao, Qinming He, Qing Li:
Rare category exploration. Expert Syst. Appl. 41(9): 4197-4210 (2014) - [j5]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): 5689-5701 (2014) - [j4]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): 7691-7706 (2014) - [j3]Feng Qian, Kevin Chiew, Qinming He, Hao Huang:
Mining regional co-location patterns with kNNG. J. Intell. Inf. Syst. 42(3): 485-505 (2014) - [j2]Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Zhenguang Liu:
Toward seed-insensitive solutions to local community detection. J. Intell. Inf. Syst. 43(1): 183-203 (2014) - [c9]Hao Huang, Yunjun Gao, Kevin Chiew, Lei Chen, Qinming He:
Towards effective and efficient mining of arbitrary shaped clusters. ICDE 2014: 28-39 - [c8]Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu:
Learning from Crowds under Experts' Supervision. PAKDD (1) 2014: 200-211 - [c7]Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Lianhang Ma:
Rare Category Detection on O(dN) Time Complexity. PAKDD (2) 2014: 498-509 - [c6]Qingyang Hu, Kevin Chiew, Hao Huang, Qinming He:
Recovering Missing Labels of Crowdsourcing Workers. SDM 2014: 857-865 - 2013
- [j1]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): 713-736 (2013) - [c5]Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Jianan Wu, Yanzhe Che:
GMAC: A Seed-Insensitive Approach to Local Community Detection. DaWaK 2013: 297-308 - [c4]Feng Qian, Kevin Chiew, Qinming He, Hao Huang, Lianhang Ma:
Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph. PAKDD (1) 2013: 174-186 - [c3]Hao Huang, Yunjun Gao, Lu Chen, Rui Li, Kevin Chiew, Qinming He:
Browse with a social web directory. SIGIR 2013: 865-868 - [c2]Hao Huang, Yunjun Gao, Kevin Chiew, Qinming He, Lu Chen:
Commodity query by snapping. SIGIR 2013: 985-988 - 2011
- [c1]Hao Huang, Qinming He, Jiangfeng He, Lianhang Ma:
RADAR: Rare Category Detection via Computation of Boundary Degree. PAKDD (2) 2011: 258-269
Coauthor Index
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