Experimental Characterizations and Analysis of Deep Learning Frameworks. - Yanzhao Wu 001; Wenqi Cao; Semih Sahin; Ling Liu 001 (IEEE BigData, 2018)

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. - Ling Liu 001; Yanzhao Wu 001; Wenqi Wei 001; Wenqi Cao; Semih Sahin; Qi Zhang 009 (ICDCS, 2018)

CCAligner: a token based large-gap clone detector. - Pengcheng Wang; Jeffrey Svajlenko; Yanzhao Wu 001; Yun Xu; Chanchal K. Roy (ICSE, 2018)

Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. - Ka Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Ling Liu 001 (IEEE BigData, 2019)

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. - Yanzhao Wu 001; Ling Liu 001; Juhyun Bae; Ka Ho Chow; Arun Iyengar; Calton Pu; Wenqi Wei 001; Lei Yu 002; Qi Zhang 009 (IEEE BigData, 2019)

Memory Disaggregation: Research Problems and Opportunities. - Ling Liu 001; Wenqi Cao; Semih Sahin; Qi Zhang 009; Juhyun Bae; Yanzhao Wu 001 (ICDCS, 2019)

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. - Ling Liu 001; Wenqi Wei 001; Ka Ho Chow; Margaret Loper; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (MASS, 2019)

Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. - Yanzhao Wu 001; Ling Liu 001; Juhyun Bae; Ka Ho Chow; Arun Iyengar; Calton Pu; Wenqi Wei 001; Lei Yu 002; Qi Zhang 009 (CoRR, 2019)

Promoting High Diversity Ensemble Learning with EnsembleBench. - Yanzhao Wu 001; Ling Liu 001; Zhongwei Xie; Juhyun Bae; Ka Ho Chow; Wenqi Wei 001 (CogMI, 2020)

Cross-Modal Joint Embedding with Diverse Semantics. - Zhongwei Xie; Ling Liu 001; Yanzhao Wu 001; Lin Li 001; Luo Zhong (CogMI, 2020)

Memory Abstraction and Optimization for Distributed Executors. - Semih Sahin; Ling Liu 001; Wenqi Cao; Qi Zhang 009; Juhyun Bae; Yanzhao Wu 001 (CIC, 2020)

Understanding Object Detection Through an Adversarial Lens. - Ka Ho Chow; Ling Liu 001; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (ESORICS (2), 2020)

A Framework for Evaluating Client Privacy Leakages in Federated Learning. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (ESORICS (1), 2020)

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (ICNC, 2020)

Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. - Juhyun Bae; Gong Su; Arun Iyengar; Yanzhao Wu 001; Ling Liu 001 (MEMSYS, 2020)

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. - Ka Ho Chow; Ling Liu 001; Margaret Loper; Juhyun Bae; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (TPS-ISA, 2020)

Adversarial Deception in Deep Learning: Analysis and Mitigation. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (TPS-ISA, 2020)

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. - Ka Ho Chow; Ling Liu 001; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (CoRR, 2020)

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (CoRR, 2020)

Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. - Juhyun Bae; Ling Liu 001; Ka Ho Chow; Yanzhao Wu 001; Gong Su; Arun Iyengar (IEEE BigData, 2021)

Parallel Detection for Efficient Video Analytics at the Edge. - Yanzhao Wu 001; Ling Liu 001; Ramana Kompella (CogMI, 2021)

RDMAbox: Optimizing RDMA for Memory Intensive Workload. - Juhyun Bae; Ling Liu 001; Yanzhao Wu 001; Gong Su; Arun Iyengar (CIC, 2021)

Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. - Yanzhao Wu 001; Ling Liu 001; Zhongwei Xie; Ka Ho Chow; Wenqi Wei 001 (CVPR, 2021)

Gradient-Leakage Resilient Federated Learning. - Wenqi Wei 001; Ling Liu 001; Yanzhao Wu 001; Gong Su; Arun Iyengar (ICDCS, 2021)

Boosting Deep Ensemble Performance with Hierarchical Pruning. - Yanzhao Wu 001; Ling Liu 001 (ICDM, 2021)

RDMAbox : Optimizing RDMA for Memory Intensive Workloads. - Juhyun Bae; Gong Su; Arun Iyengar; Yanzhao Wu 001; Ling Liu 001 (CoRR, 2021)

Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. - Zhongwei Xie; Ling Liu 001; Yanzhao Wu 001; Luo Zhong; Lin Li 001 (ACM Trans. Inf. Syst., 2022)

A Comparative Measurement Study of Deep Learning as a Service Framework. - Yanzhao Wu 001; Ling Liu 001; Calton Pu; Wenqi Cao; Semih Sahin; Wenqi Wei 001; Qi Zhang 009 (IEEE Trans. Serv. Comput., 2022)

Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. - Zhongwei Xie; Ling Liu 001; Yanzhao Wu 001; Lin Li 001; Luo Zhong (IEEE Trans. Serv. Comput., 2022)

Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. - Badhan Chandra Das; M. Hadi Amini; Yanzhao Wu 001 (BIBM, 2023)

Amplifying Object Tracking Performance on Edge Devices. - Sanjana Vijay Ganesh; Yanzhao Wu 001; Gaowen Liu; Ramana Kompella; Ling Liu 001 (CogMI, 2023)

Rethinking Learning Rate Tuning in the Era of Large Language Models. - Hongpeng Jin; Wenqi Wei 001; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CogMI, 2023)

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. - Ka Ho Chow; Ling Liu 001; Wenqi Wei 001; Fatih Ilhan; Yanzhao Wu 001 (CVPR, 2023)

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. - Yanzhao Wu 001; Ka Ho Chow; Wenqi Wei 001; Ling Liu 001 (ICDM, 2023)

Model Cloaking against Gradient Leakage. - Wenqi Wei 001; Ka-Ho Chow; Fatih Ilhan; Yanzhao Wu 001; Ling Liu 001 (ICDM, 2023)

Invisible Watermarking for Audio Generation Diffusion Models. - Xirong Cao; Xiang Li; Divyesh Jadav; Yanzhao Wu 001; Zhehui Chen; Chen Zeng; Wenqi Wei 001 (TPS-ISA, 2023)

EENet: Learning to Early Exit for Adaptive Inference. - Fatih Ilhan; Ling Liu 001; Ka Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu (CoRR, 2023)

Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. - Sanjana Vijay Ganesh; Yanzhao Wu 001; Gaowen Liu; Ramana Kompella; Ling Liu 001 (CoRR, 2023)

Towards Deep Learning System and Algorithm Co-design. - Yanzhao Wu 001 (2023)

Selecting and Composing Learning Rate Policies for Deep Neural Networks. - Yanzhao Wu 001; Ling Liu 001 (ACM Trans. Intell. Syst. Technol., 2023)

Securing Distributed SGD Against Gradient Leakage Threats. - Wenqi Wei 001; Ling Liu 001; Jingya Zhou; Ka Ho Chow; Yanzhao Wu 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Effective Diversity Optimizations for High Accuracy Deep Ensembles. - Hongpeng Jin; Maryam Akhavan Aghdam; Sai Nath Chowdary Medikonduru; Wenqi Wei 001; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CogMI, 2024)

On the Efficiency of Privacy Attacks in Federated Learning. - Nawrin Tabassum; Ka-Ho Chow; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CVPR Workshops, 2024)

Accessible Health Screening Using Body Fat Estimation by Image Segmentation. - Zhipeng Yin; Sameeksha Agarwal; Ayesha Kashif; Matthew Gonzalez; Zichong Wang; Suqing Liu; Zhen Liu 017; Yanzhao Wu 001; Ian Stockwell; Weifeng Xu; Puqing Jiang; Xingyu Zhang; et al. (ICDM (Workshops), 2024)

Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. - Tianya Zhao; Ningning Wang; Yanzhao Wu 001; Wenbin Zhang 002; Xuyu Wang (INFOCOM (Workshops), 2024)

Individual Fairness with Group Awareness Under Uncertainty. - Zichong Wang; Jocelyn Dzuong; Xiaoyong Yuan; Zhong Chen 003; Yanzhao Wu 001; Xin Yao; Wenbin Zhang 002 (ECML/PKDD (5), 2024)

Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. - Nashrah Haque; Xiang Li; Zhehui Chen; Yanzhao Wu 001; Lei Yu 002; Arun Iyengar; Wenqi Wei 001 (TPS-ISA, 2024)

Adaptive Deep Neural Network Inference Optimization with EENet. - Fatih Ilhan; Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Selim F. Tekin; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu; Ling Liu 001 (WACV, 2024)

ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. - Sihao Hu; Tiansheng Huang; Ka-Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Ling Liu 001 (WWW, 2024)

DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models. - Maryam Akhavan Aghdam; Hongpeng Jin; Yanzhao Wu 001 (CoRR, 2024)

In-depth Analysis of Privacy Threats in Federated Learning for Medical Data. - Badhan Chandra Das; M. Hadi Amini; Yanzhao Wu 001 (CoRR, 2024)

Boosting Deep Ensembles with Learning Rate Tuning. - Hongpeng Jin; Yanzhao Wu 001 (CoRR, 2024)

CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration. - Hongpeng Jin; Yanzhao Wu 001 (CoRR, 2024)

Demystifying Data Poisoning Attacks in Distributed Learning as a Service. - Wenqi Wei 001; Ka Ho Chow; Yanzhao Wu 001; Ling Liu 001 (IEEE Trans. Serv. Comput., 2024)

Hierarchical Pruning of Deep Ensembles with Focal Diversity. - Yanzhao Wu 001; Ka Ho Chow; Wenqi Wei 001; Ling Liu 001 (ACM Trans. Intell. Syst. Technol., 2024)

Deep Learning and Foundation Models for Weather Prediction: A Survey. - Jimeng Shi; Azam Shirali; Bowen Jin; Sizhe Zhou; Wei Hu; Rahuul Rangaraj; Shaowen Wang 001; Jiawei Han 001; Zhaonan Wang 001; Upmanu Lall; Yanzhao Wu 001; Leonardo Bobadilla; et al. (CoRR, 2025)

Accurate and Efficient Two-Stage Gun Detection in Video. - Badhan Chandra Das; M. Hadi Amini; Yanzhao Wu 001 (CoRR, 2025)

NeRF-APT: A New NeRF Framework for Wireless Channel Prediction. - Jingzhou Shen; Tianya Zhao; Yanzhao Wu 001; Xuyu Wang (CoRR, 2025)

How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades. - Rahuul Rangaraj; Jimeng Shi; Azam Shirali; Rajendra Paudel; Yanzhao Wu 001; Giri Narasimhan (CoRR, 2025)

System Prompt Extraction Attacks and Defenses in Large Language Models. - Badhan Chandra Das; M. Hadi Amini; Yanzhao Wu 001 (CoRR, 2025)

Security and Privacy Challenges of Large Language Models: A Survey. - Badhan Chandra Das; M. Hadi Amini; Yanzhao Wu 001 (ACM Comput. Surv., 2025)

Retrieval-Augmented Water Level Forecasting for Everglades. - Rahuul Rangaraj; Jimeng Shi; Rajendra Paudel; Giri Narasimhan; Yanzhao Wu 001 (CoRR, 2025)