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Han Hu 0007
Person information
- affiliation: New Jersey Institute of Technology, Newark, NJ, USA
Other persons with the same name
- Han Hu — disambiguation page
- Han Hu 0001 — Microsoft Research Asia, Beijing, China (and 1 more)
- Han Hu 0002 — Zhejiang University, State Key Laboratory of Plant Physiology and Biochemistry, China
- Han Hu 0003 — Beijing Institute of Technology, School of Information and Electronics, China (and 3 more)
- Han Hu 0005 — Southwest Jiaotong University, Chengdu, China
- Han Hu 0006 — Nanjing University of Posts and Telecommunications, Nanjing, China
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2020 – today
- 2024
- [j2]Xiaopeng Jiang, Han Hu, Thinh On, Phung Lai, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan:
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. IEEE Trans. Mob. Comput. 23(1): 501-519 (2024) - 2022
- [j1]Pelin Ayranci, Phung Lai, NhatHai Phan, Han Hu, Alexander Kolinowski, David Newman, Deijing Dou:
OnML: an ontology-based approach for interpretable machine learning. J. Comb. Optim. 44(1): 770-793 (2022) - [c9]Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoLLAs 2022: 778-797 - [i6]Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoRR abs/2207.12831 (2022) - 2021
- [i5]Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan:
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. CoRR abs/2111.09445 (2021) - 2020
- [c8]NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou:
Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML 2020: 7683-7694 - [c7]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. IJCNN 2020: 1-10 - [i4]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. CoRR abs/2004.00204 (2020)
2010 – 2019
- 2019
- [c6]Wuji Liu, Xinyue Ye, Hai Phan, Han Hu:
Scalable Self-taught Deep-Embedded Learning Framework for Drug Abuse Spatial Behaviors Detection. CSoNet 2019: 223-228 - [c5]Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo:
DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper). SIGSPATIAL/GIS 2019: 564-567 - [c4]Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun:
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. MedInfo 2019: 163-167 - [i3]NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou:
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR abs/1903.09822 (2019) - [i2]Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun:
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. CoRR abs/1904.02062 (2019) - 2018
- [c3]Han Hu, NhatHai Phan, James Geller, Huy T. Vo, Manasi Bhole, Xueqi Huang, Sophie Di Lorio, Thang Dinh, Soon Ae Chun:
Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets. CSoNet 2018: 330-342 - [c2]Han Hu, Pranavi Moturu, Kannan Dharan, James Geller, Sophie Iorio, Hai Phan, Huy T. Vo, Soon Ae Chun:
Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets. ICHI 2018: 386-387 - 2017
- [c1]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. ICDM 2017: 385-394 - [i1]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. CoRR abs/1709.05750 (2017)
Coauthor Index
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