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	Title	Author(s)	Issue Date	Views
	Single-cell RNA (scRNA) analysis to evaluate the anti-fibrotic effect of steroid in mouse model of biliary atresia [Free paper presentation] Proceeding/Conference:The 27th Congress of the Asian Association of Pediatric Surgeons (27/04/2024-30/04/2024, , , Hong Kong)	Liu, FLui, VCHWu, ZBlakeley, PDTang, CSMTam, PKHWong, KKYChung, PHY	29-Apr-2024
	Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds Proceeding/Conference:Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021	Bae, JuhyunLiu, LingChow, Ka HoWu, YanzhaoSu, GongIyengar, Arun	2021
	Robust Object Detection Fusion against Deception Proceeding/Conference:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining	Chow, Ka HoLiu, Ling	2021
	Adaptive Deep Neural Network Inference Optimization with EENet Proceeding/Conference:Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024	Ilhan, FatihChow, Ka HoHu, SihaoHuang, TianshengTekin, SelimWei, WenqiWu, YanzhaoLee, MyungjinKompella, RamanaLatapie, HugoLiu, GaowenLiu, Ling	2024
	Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices Proceeding/Conference:EuroSys 2024 - Proceedings of the 2024 European Conference on Computer Systems	Chow, Ka HoDeshpande, UmeshDeenadayalan, VeeraSeshadri, SangeethaLiu, Ling	2024
	Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training Proceeding/Conference:Advances in Neural Information Processing Systems	Huang, TianshengHu, SihaoChow, Ka HoIlhan, FatihTekin, Selim FurkanLiu, Ling	2023
	Model Cloaking against Gradient Leakage Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM	Wei, WenqiChow, Ka HoIlhan, FatihWu, YanzhaoLiu, Ling	2023
	Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM	Wu, YanzhaoChow, Ka HoWei, WenqiLiu, Ling	2023
	SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds Proceeding/Conference:Proceedings of the ACM SIGMOD International Conference on Management of Data	Chow, Ka HoDeshpande, UmeshDeenadhayalan, VeeraSeshadri, SangeethaLiu, Ling	2023
	Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems Proceeding/Conference:ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023	Ilhan, FatihTekin, Selim FurkanHu, SihaoHuang, TianshengChow, Ka HoLiu, Ling	2023
	Boosting Object Detection Ensembles with Error Diversity Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM	Chow, Ka HoLiu, Ling	2022
	The TSC-PFed Architecture for Privacy-Preserving FL Proceeding/Conference:Proceedings - 2021 3rd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2021	Truex, StaceyLiu, LingGursoy, Mehmet EmreWei, WenqiChow, Ka Ho	2021
	Perception Poisoning Attacks in Federated Learning Proceeding/Conference:Proceedings - 2021 3rd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2021	Chow, Ka HoLiu, Ling	2021
	DeepRest: Deep Resource Estimation for Interactive Microservices Proceeding/Conference:EuroSys 2022 - Proceedings of the 17th European Conference on Computer Systems	Chow, Ka HoDeshpande, UmeshSeshadri, SangeethaLiu, Ling	2022
	Boosting ensemble accuracy by revisiting ensemble diversity metrics Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition	Wu, YanzhaoLiu, LingXie, ZhongweiChow, Ka HoWei, Wenqi	2021
	SRA: Smart Recovery Advisor for Cyber Attacks Proceeding/Conference:Proceedings of the ACM SIGMOD International Conference on Management of Data	Chow, Ka HoDeshpande, UmeshSeshadri, SangeethaLiu, Ling	2021
	Promoting high diversity ensemble learning with ensemblebench Proceeding/Conference:Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020	Wu, YanzhaoLiu, LingXie, ZhongweiBae, JuhyunChow, Ka HoWei, Wenqi	2020
	Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems Proceeding/Conference:Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020	Chow, Ka HoLiu, LingLoper, MargaretBae, JuhyunGursoy, Mehmet EmreTruex, StaceyWei, WenqiWu, Yanzhao	2020
	Adversarial Deception in Deep Learning: Analysis and Mitigation Proceeding/Conference:Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020	Wei, WenqiLiu, LingLoper, MargaretChow, Ka HoGursoy, Mehmet EmreTruex, StaceyWu, Yanzhao	2020
	A framework for evaluating client privacy leakages in federated learning Proceeding/Conference:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	Wei, WenqiLiu, LingLoper, MargaretChow, Ka HoGursoy, Mehmet EmreTruex, StaceyWu, Yanzhao	2020