Ka Ho Chow - RankMe

52 papers A* 6A 1B 1Misc 1Journal 27Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images. CoRR Yinuo Wang, Juhyun Bae, Ka Ho Chow, Shenyang Chen, Shreyash Gupta
2024	J	`jnl`	Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu
2024	J	`jnl`	Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2024	J	`jnl`	Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. CoRR Ka Ho Chow, Wenqi Wei, Lei Yu
2024	—	`—`	Robust Learning Frameworks and Algorithms for Scalable Data Systems. Ka Ho Chow
2023	J	`jnl`	Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices. CoRR Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu
2023	J	`jnl`	EENet: Learning to Early Exit for Adaptive Inference. CoRR Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu
2023	A*	`conf`	Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2023	J	`jnl`	Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2023	—	`conf`	Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. WWW (Companion Volume) Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu
2023	J	`jnl`	Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2023	J	`jnl`	Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting. IEEE Trans. Mob. Comput. Jiajie Tan, Hang Wu, Ka Ho Chow, S.-H. Gary Chan
2023	A*	`conf`	Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. NeurIPS Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu
2023	—	`conf`	SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds. SIGMOD Conference Companion Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu
2023	A*	`conf`	STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
2023	J	`jnl`	STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CoRR Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
2023	J	`jnl`	Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
2023	J	`jnl`	Securing Distributed SGD against Gradient Leakage Threats. CoRR Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
2022	J	`jnl`	An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei
2022	A*	`conf`	Boosting Object Detection Ensembles with Error Diversity. ICDM Ka Ho Chow, Ling Liu
2022	A	`conf`	DeepRest: deep resource estimation for interactive microservices. EuroSys Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu
2021	A*	`conf`	Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei
2021	—	`conf`	Perception Poisoning Attacks in Federated Learning. TPS-ISA Ka Ho Chow, Ling Liu
2021	A*	`conf`	Robust Object Detection Fusion Against Deception. KDD Ka Ho Chow, Ling Liu
2021	—	`conf`	SRA: Smart Recovery Advisor for Cyber Attacks. SIGMOD Conference Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu
2021	—	`conf`	The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow
2021	—	`conf`	Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. IEEE BigData Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar
2020	—	`conf`	A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	J	`jnl`	A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	—	`conf`	Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	—	`conf`	Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2020	Misc	`conf`	Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	J	`jnl`	LDP-Fed: Federated Learning with Local Differential Privacy. CoRR Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
2020	—	`conf`	LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
2020	—	`conf`	Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
2020	J	`jnl`	Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
2020	J	`jnl`	TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2020	J	`jnl`	Understanding Object Detection Through An Adversarial Lens. CoRR Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2020	—	`conf`	Understanding Object Detection Through an Adversarial Lens. ESORICS (2) Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2019	J	`jnl`	Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2019	J	`jnl`	DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data. CoRR Yifeng Zhang, Ka Ho Chow, S.-H. Gary Chan
2019	B	`conf`	Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2019	J	`jnl`	Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2019	J	`jnl`	Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
2019	—	`conf`	Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
2019	—	`conf`	Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2019	J	`jnl`	Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2019	J	`jnl`	Efficient Locality Classification for Indoor Fingerprint-Based Systems. IEEE Trans. Mob. Comput. Ka Ho Chow, Suining He, Jiajie Tan, S.-H. Gary Chan
2019	—	`conf`	GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. CogMI Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su
2018	J	`jnl`	Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder. CoRR Ka Ho Chow, Anish Hiranandani, Yifeng Zhang, S.-H. Gary Chan
2014	J	`jnl`	Impact of information technology on the performance of logistics industry: the case of Hong Kong and Pearl Delta region. J. Oper. Res. Soc. King Lun Choy, Angappa Gunasekaran, Hoi Yan Lam, Ka Ho Chow, Yick Chi Tsim, Tsz Wing Ng, Ying Kei Tse, Xiao Ang Lu
2009	J	`jnl`	A RFID-case-based sample management system for fashion product development. Eng. Appl. Artif. Intell. King Lun Choy, Ka Ho Chow, Ka Leung Moon, Xin Zeng, Henry C. W. Lau, Felix T. S. Chan, George T. S. Ho