Hao Huang

58 papers A* 15A 1B 1Misc 1Journal 26Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdaptiveCore: Adaptive Parallel Core Decomposition Framework.
IEEE Trans. Computers
Chen Zhao, Zhigao Zheng, Hao Huang, Hao Liu, Dacheng Tao
2026 A* conf
DeepUL: Deep Unlearning via Model Sparsity.
WWW
Zhigao Zheng, Kai Yin, Yaowen Kuang, Tao Wang, Yahong Chen, Shihong Yao, Hao Huang
2026 A* conf
Multi-task Inference of Diffusion Networks.
WWW
Ting Gan, Kudereti Kuerban, Qian Yan, Ling Han, Zhigao Zheng, Hao Huang
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 J jnl
Detecting and Analyzing Motifs in Large-Scale Online Transaction Networks.
IEEE Trans. Knowl. Data Eng.
Jiawei Jiang, Hao Huang, Zhigao Zheng, Yi Wei, Fangcheng Fu, Xiaosen Li, Bin Cui
2025 J jnl
Diffusion pattern mining.
Knowl. Inf. Syst.
Qian Yan, Yulan Yang, Kai Yin, Ting Gan, Hao Huang
2025 Misc conf
GADACE: Graph Anomaly Detection Combining Attribute Contrast and Structure Reconstruction.
ICASSP
Shihui Wang, Yulan Yang, Zixin Tan, Zhigao Zheng, Jiawei Jiang, Hao Huang, Quanqing Xu, Chuanhui Yang
2025 A* conf
Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning.
ICDE
Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang
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
Online Billboard Auction With Social Welfare Maximization.
IEEE Trans. Knowl. Data Eng.
Hao Huang, Mingxin Wang, Mengqi Shan, Zhigao Zheng, Ting Gan, Jiawei Jiang, Zongpeng Li
2025 J jnl
Optimizing Hierarchical Federated Learning: A Reinforcement Learning Approach.
IEEE Trans. Consumer Electron.
Yinghui Sai, Xiaoyi Wu, Jiacheng Jiang, Yuxiang Huang, Qian Yan, Zongpeng Li, Hao Huang
2025 J jnl
Secure spatial remote sensing image matching.
GeoInformatica
Yi Wei, Xuan Zhou, Hao Huang, Hao Wang, Chuang Hu, Jiawei Jiang
2024 J jnl
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs.
IEEE Trans. Knowl. Data Eng.
Ting Yu, Ting Jiang, Mohamed Jaward Bah, Chen Zhao, Hao Huang, Mengchi Liu, Shuigeng Zhou, Zhao Li, Ji Zhang
2024 A* conf
Learning Diffusions under Uncertainty.
AAAI
Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang
2024 A* conf
Self-Supervised Learning for Graph Dataset Condensation.
KDD
Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang
2024 J jnl
Towards Independence Criterion in Machine Unlearning of Features and Labels.
CoRR
Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley
2024 J jnl
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases.
CoRR
Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez
2024 — conf
VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation.
DASFAA (1)
Xiaokai Zhou, Xiao Yan, Xinyan Li, Hao Huang, Quanqing Xu, Qinbo Zhang, Yen Jerome, Zhaohui Cai, Jiawei Jiang
2023 J jnl
Learning Diffusions under Uncertainty.
CoRR
Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang
2023 A* conf
Multi-aspect Diffusion Network Inference.
WWW
Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
2022 J jnl
Online Task Offloading for 5G Small Cell Networks.
IEEE Trans. Mob. Comput.
Ruiting Zhou, Xueying Zhang, Shixin Qin, John C. S. Lui, Zhi Zhou, Hao Huang, Zongpeng Li
2022 A* conf
Reconstructing Diffusion Networks from Incomplete Data.
IJCAI
Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
2021 J jnl
An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples.
ACM Trans. Knowl. Discov. Data
Shi Ying, Bingming Wang, Lu Wang, Qingshan Li, Yishi Zhao, Jianga Shang, Hao Huang, Guoli Cheng, Zhe Yang, Jiangyi Geng
2021 A* conf
Diffusion Network Inference from Partial Observations.
AAAI
Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li
2021 A* conf
Metric Learning via Penalized Optimization.
KDD
Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu
2021 J jnl
Statistical Inference of Diffusion Networks.
IEEE Trans. Knowl. Data Eng.
Hao Huang, Qian Yan, Lu Chen, Yunjun Gao, Christian S. Jensen
2020 — conf
From Code to Natural Language: Type-Aware Sketch-Based Seq2Seq Learning.
DASFAA (1)
Yuhang Deng, Hao Huang, Xu Chen, Zuopeng Liu, Sai Wu, Jifeng Xuan, Zongpeng Li
2020 J jnl
LERI: Local Exploration for Rare-Category Identification.
IEEE Trans. Knowl. Data Eng.
Hao Huang, Qian Yan, Wei Lu, Huaizhong Lin, Yunjun Gao, Lei Chen
2020 A* conf
Statistical Estimation of Diffusion Network Topologies.
ICDE
Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, Yunjun Gao
2019 A* conf
Learning Diffusions without Timestamps.
AAAI
Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao
2019 — conf
Which Category Is Better: Benchmarking the RDBMSs and GDBMSs.
APWeb/WAIM (2)
Pengjie Ding, Yijian Cheng, Wei Lu, Hao Huang, Xiaoyong Du
2018 — conf
Efficient and Scalable Mining of Frequent Subgraphs Using Distributed Graph Processing Systems.
DASFAA (1)
Tongtong Wang, Hao Huang, Wei Lu, Zhe Peng, Xiaoyong Du
2018 J jnl
Evaluation of local community metrics: from an experimental perspective.
J. Intell. Inf. Syst.
Lianhang Ma, Kevin Chiew, Hao Huang, Qinming He
2018 J jnl
MSQL+: a Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems.
Proc. VLDB Endow.
Wei Lu, Xinyi Zhang, Zhiyu Shui, Zhe Peng, Xiao Zhang, Xiaoyong Du, Hao Huang, Xiaoyu Wang, Anqun Pan, Haixiang Li
2018 J jnl
Mining frequent subgraphs from tremendous amount of small graphs using MapReduce.
Knowl. Inf. Syst.
Zhe Peng, Tongtong Wang, Wei Lu, Hao Huang, Xiaoyong Du, Feng Zhao, Anthony K. H. Tung
2017 J jnl
A Prior-Free Spectrum Auction for Approximate Revenue Maximization.
Comput. J.
Chen Ying, Hao Huang, Ajay Gopinathan, Zongpeng Li
2017 J jnl
False data separation for data security in smart grids.
Knowl. Inf. Syst.
Hao Huang, Qian Yan, Yao Zhao, Wei Lu, Zhenguang Liu, Zongpeng Li
2017 — conf
Group-Level Influence Maximization with Budget Constraint.
DASFAA (1)
Qian Yan, Hao Huang, Yunjun Gao, Wei Lu, Qinming He
2016 J jnl
A formalized framework for incorporating expert labels in crowdsourcing environment.
J. Intell. Inf. Syst.
Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu
2016 — conf
Fast Rare Category Detection Using Nearest Centroid Neighborhood.
APWeb (1)
Song Wang, Hao Huang, Yunjun Gao, Tieyun Qian, Liang Hong, Zhiyong Peng
2016 — conf
Mining Arbitrary Shaped Clusters and Outputting a High Quality Dendrogram.
DEXA (1)
Hao Huang, Song Wang, Shuangke Wu, Yunjun Gao, Wei Lu, Qinming He, Shi Ying
2016 — conf
Modeling for Noisy Labels of Crowd Workers.
APWeb (2)
Qian Yan, Hao Huang, Yunjun Gao, Chen Ying, Qingyang Hu, Tieyun Qian, Qinming He
2015 — conf
Rare Category Exploration on Linear Time Complexity.
DASFAA (2)
Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Yunjun Gao
2014 — conf
Learning from Crowds under Experts' Supervision.
PAKDD (1)
Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu
2014 J jnl
Mining regional co-location patterns with kNNG.
J. Intell. Inf. Syst.
Feng Qian, Kevin Chiew, Qinming He, Hao Huang
2014 J jnl
Prior-free rare category detection: More effective and efficient solutions.
Expert Syst. Appl.
Zhenguang Liu, Kevin Chiew, Qinming He, Hao Huang, Butian Huang
2014 — conf
Rare Category Detection on O(dN) Time Complexity.
PAKDD (2)
Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Lianhang Ma
2014 J jnl
Rare category exploration.
Expert Syst. Appl.
Hao Huang, Kevin Chiew, Yunjun Gao, Qinming He, Qing Li
2014 A conf
Recovering Missing Labels of Crowdsourcing Workers.
SDM
Qingyang Hu, Kevin Chiew, Hao Huang, Qinming He
2014 J jnl
Toward seed-insensitive solutions to local community detection.
J. Intell. Inf. Syst.
Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Zhenguang Liu
2014 A* conf
Towards effective and efficient mining of arbitrary shaped clusters.
ICDE
Hao Huang, Yunjun Gao, Kevin Chiew, Lei Chen, Qinming He
2014 J jnl
Unsupervised analysis of top-k core members in poly-relational networks.
Expert Syst. Appl.
Hao Huang, Yunjun Gao, Kevin Chiew, Qinming He, Baihua Zheng
2013 A* conf
Browse with a social web directory.
SIGIR
Hao Huang, Yunjun Gao, Lu Chen, Rui Li, Kevin Chiew, Qinming He
2013 J jnl
CLOVER: a faster prior-free approach to rare-category detection.
Knowl. Inf. Syst.
Hao Huang, Qinming He, Kevin Chiew, Feng Qian, Lianhang Ma
2013 A* conf
Commodity query by snapping.
SIGIR
Hao Huang, Yunjun Gao, Kevin Chiew, Qinming He, Lu Chen
2013 — conf
Discovery of Regional Co-location Patterns with
PAKDD (1)
Feng Qian, Kevin Chiew, Qinming He, Hao Huang, Lianhang Ma
2013 B conf
GMAC: A Seed-Insensitive Approach to Local Community Detection.
DaWaK
Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Jianan Wu, Yanzhe Che
2011 — conf
RADAR: Rare Category Detection via Computation of Boundary Degree.
PAKDD (2)
Hao Huang, Qinming He, Jiangfeng He, Lianhang Ma