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Author search results
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- Christy Jie Liang
aka: Jie Liang 0004
University of Technology Sydney, Department of Engineering and Information Technology, NSW, Australia
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Publication search results
found 57 matches
- 2024
- Han Xu, Priyadarsi Nanda, Jie Liang:
Reciprocal Federated Learning Framework: Balancing incentives for model and data owners. Future Gener. Comput. Syst. 161: 146-161 (2024) - Nina Errey, Jie Liang, Tuck Wah Leong, Didar Zowghi:
Evaluating narrative visualization: a survey of practitioners. Int. J. Data Sci. Anal. 18(1): 19-34 (2024) - Ibrahim Daghriri, Christy Jie Liang, Weidong Huang:
Spatial Immersive Learning Environments in Primary Education: A Review of Impacts and Implementation Challenges. I-DO 2024 - Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features. CoRR abs/2405.02569 (2024) - 2023
- Caixia Wu, Yi Chen, Yu Dong, Fangfang Zhou, Ying Zhao, Christy Jie Liang:
VizOPTICS: Getting insights into OPTICS via interactive visual analysis. Comput. Electr. Eng. 107: 108624 (2023) - Zhiyi Tian, Lei Cui, Jie Liang, Shui Yu:
A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning. ACM Comput. Surv. 55(8): 166:1-166:35 (2023) - Yu Dong, Christy Jie Liang, Yi Chen, Jie Hua:
A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets. Comput. Vis. Media 10(1): 161-186 (2023) - Han Xu, Priyadarsi Nanda, Jie Liang, Xiangjian He:
FCH, an incentive framework for data-owner dominated federated learning. J. Inf. Secur. Appl. 76: 103521 (2023) - Dong Yu, Ian J. Oppermann, Jie Liang, Xiaoru Yuan, Nguyen Quang Vinh:
User-centered visual explorer of in-process comparison in spatiotemporal space. J. Vis. 26(2): 403-421 (2023) - Yun Luo, Liangfu Lu, Xudong Cui, Yan Du, Yingying Bi, Limin Zhu, Christy Jie Liang:
Novel few-shot learning based fuzzy feature detection algorithms. DSAA 2023: 1-9 - Jianbin Shen, Junyu Xuan, Christy Jie Liang:
Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization. EMNLP (Findings) 2023: 15807-15824 - Han Xu, Priyadarsi Nanda, Jie Liang:
Designing Incentive Mechanisms for Fair Participation in Federated Learning. HPCC/DSS/SmartCity/DependSys 2023: 98-105 - Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. IJCNN 2023: 1-8 - Jianbin Shen, Junyu Xuan, Christy Jie Liang:
A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization. IJCNN 2023: 1-8 - Yu Dong, Christy Jie Liang, Yi Chen, Jie Hua:
A Visual Modeling Method for Spatiotemporal and Multidimensional Features in Epidemiological Analysis: Applied COVID-19 Aggregated Datasets. CoRR abs/2303.12092 (2023) - Yu Dong, Jie Liang, Longbing Cao, Daniel R. Catchpoole:
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty. CoRR abs/2303.13558 (2023) - Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. CoRR abs/2305.01322 (2023) - 2022
- Yi Chen, Xiaoran Sun, Wenqiang Wei, Yu Dong, Christy Jie Liang:
A Prediction and Visual Analysis Method for Graduation Destination of Undergraduates Based on LambdaMART Model. Int. J. Inf. Commun. Technol. Educ. 18(2): 1-19 (2022) - Weiqi Wang, Shushu Liu, An Liu, Christy Jie Liang, Shui Yu:
Locally Random Sampling for Practical Privacy Protection in Federated Learning. GLOBECOM 2022: 528-533 - Zhixiong Yue, Pengxin Guo, Yu Zhang, Christy Jie Liang:
Learning Feature Alignment Architecture for Domain Adaptation. IJCNN 2022: 1-8 - Zhixiong Yue, Baijiong Lin, Yu Zhang, Christy Jie Liang:
Effective, Efficient and Robust Neural Architecture Search. IJCNN 2022: 1-8 - Han Xu, Priyadarsi Nanda, Jie Liang, Xiangjian He:
The Force of Compensation, a Multi-stage Incentive Mechanism Model for Federated Learning. NSS 2022: 357-373 - 2021
- Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model. CoRR abs/2107.08183 (2021) - 2020
- Guozheng Li, Yu Zhang, Yu Dong, Jie Liang, Jinson Zhang, Jinsong Wang, Michael J. McGuffin, Xiaoru Yuan:
BarcodeTree: Scalable Comparison of Multiple Hierarchies. IEEE Trans. Vis. Comput. Graph. 26(1): 1022-1032 (2020) - Yu Dong, Alex Fauth, Mao Lin Huang, Yi Chen, Jie Liang:
PansyTree: Merging Multiple Hierarchies. PacificVis 2020: 131-135 - 2019
- Xin Fan, Chenlu Li, Xiaoru Yuan, Xiaoju Dong, Jie Liang:
An interactive visual analytics approach for network anomaly detection through smart labeling. J. Vis. 22(5): 955-971 (2019) - Siming Chen, Shuai Chen, Zhenhuang Wang, Jie Liang, Yadong Wu, Xiaoru Yuan:
D-Map+: Interactive Visual Analysis and Exploration of Ego-centric and Event-centric Information Diffusion Patterns in Social Media. ACM Trans. Intell. Syst. Technol. 10(1): 11:1-11:26 (2019) - Mao Lin Huang, Zhixiong Yue, Quang Vinh Nguyen, Jie Liang, Zongwei Luo:
Stroke Data Analysis through a HVN Visual Mining Platform. IV (2) 2019: 1-6 - 2018
- Hongyu Jiang, Kai Tang, Weixin Zhao, Wenqi Pei, Yadong Wu, Jie Liang:
Aureole: a multi-perspective visual analytics approach for green cellular networks. J. Vis. 21(3): 485-494 (2018) - Yi Chen, Yu Dong, Yuehong Sun, Jie Liang:
A Multi-comparable visual analytic approach for complex hierarchical data. J. Vis. Lang. Comput. 47: 19-30 (2018)
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