Yanzhao Wu - RankMe

99 papers A* 7A 6B 2C 1Misc 2Journal 53Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Augmenting Question Answering with A Hybrid RAG Approach. CoRR Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei
2026	J	`jnl`	GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models. CoRR Md. Jueal Mia, Joaquin Molto, Yanzhao Wu, M. Hadi Amini
2026	J	`jnl`	Multi-turn Jailbreaking Attack in Multi-Modal Large Language Models. CoRR Badhan Chandra Das, Md. Tasnim Jawad, Joaquin Molto, M. Hadi Amini, Yanzhao Wu
2026	J	`jnl`	What Hard Tokens Reveal: Exploiting Low-confidence Tokens for Membership Inference Attacks against Large Language Models. CoRR Md. Tasnim Jawad, Mingyan Xiao, Yanzhao Wu
2025	B	`conf`	A Diversity-Optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection. IEEE Big Data Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu
2025	J	`jnl`	A Diversity-optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection. CoRR Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu
2025	J	`jnl`	Accurate and Efficient Two-Stage Gun Detection in Video. CoRR Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
2025	—	`conf`	Augmenting Question Answering with A Hybrid RAG Approach. CogMI Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei
2025	A	`conf`	CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration. ICWS Hongpeng Jin, Yanzhao Wu
2025	J	`jnl`	CEQuest: Benchmarking Large Language Models for Construction Estimation. CoRR Yanzhao Wu, Lufan Wang, Rui Liu
2025	—	`conf`	CLL-RetICL: Contrastive Linguistic Label Retrieval-based In-Context Learning for Text Classification via Large Language Models. IJCNLP-AACL (Findings) Chaohao Lin, Kaida Wu, Peihao Xiang, Yanzhao Wu, Ou Bai
2025	J	`jnl`	Deep Learning and Foundation Models for Weather Prediction: A Survey. CoRR Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan
2025	A	`conf`	EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning. CIKM Md. Tasnim Jawad, Yanzhao Wu
2025	J	`jnl`	How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades. CoRR Rahuul Rangaraj, Jimeng Shi, Azam Shirali, Rajendra Paudel, Yanzhao Wu, Giri Narasimhan
2025	C	`conf`	Jailbreaking Large Vision Language Models in Intelligent Transportation Systems. ICMLA Badhan Chandra Das, Md. Tasnim Jawad, Md. Jueal Mia, M. Hadi Amini, Yanzhao Wu
2025	J	`jnl`	Jailbreaking Large Vision Language Models in Intelligent Transportation Systems. CoRR Badhan Chandra Das, Md. Tasnim Jawad, Md. Jueal Mia, M. Hadi Amini, Yanzhao Wu
2025	Misc	`conf`	LATTICE: Efficient In-Memory DNN Model Versioning. SYSTOR Manoj Pravakar Saha, Ashikee Ghosh, Raju Rangaswami, Yanzhao Wu, Janki Bhimani
2025	—	`conf`	NeRF-APT: A New NeRF Framework for Wireless Channel Prediction. INFOCOM WKSHPS Jingzhou Shen, Tianya Zhao, Yanzhao Wu, Xuyu Wang
2025	J	`jnl`	NeRF-APT: A New NeRF Framework for Wireless Channel Prediction. CoRR Jingzhou Shen, Tianya Zhao, Yanzhao Wu, Xuyu Wang
2025	J	`jnl`	Retrieval-Augmented Water Level Forecasting for Everglades. CoRR Rahuul Rangaraj, Jimeng Shi, Rajendra Paudel, Giri Narasimhan, Yanzhao Wu
2025	J	`jnl`	Security and Privacy Challenges of Large Language Models: A Survey. ACM Comput. Surv. Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
2025	J	`jnl`	System Prompt Extraction Attacks and Defenses in Large Language Models. CoRR Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
2024	—	`conf`	Accessible Health Screening Using Body Fat Estimation by Image Segmentation. ICDM (Workshops) Zhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang
2024	A	`conf`	Adaptive Deep Neural Network Inference Optimization with EENet. WACV Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu
2024	—	`conf`	Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. INFOCOM (Workshops) Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang
2024	J	`jnl`	Boosting Deep Ensembles with Learning Rate Tuning. CoRR Hongpeng Jin, Yanzhao Wu
2024	—	`conf`	Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. TPS-ISA Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei
2024	J	`jnl`	Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. CoRR Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei
2024	J	`jnl`	CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration. CoRR Hongpeng Jin, Yanzhao Wu
2024	J	`jnl`	DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models. CoRR Maryam Akhavan Aghdam, Hongpeng Jin, Yanzhao Wu
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	—	`conf`	Effective Diversity Optimizations for High Accuracy Deep Ensembles. CogMI Hongpeng Jin, Maryam Akhavan Aghdam, Sai Nath Chowdary Medikonduru, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
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`	In-depth Analysis of Privacy Threats in Federated Learning for Medical Data. CoRR Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
2024	—	`conf`	Individual Fairness with Group Awareness Under Uncertainty. ECML/PKDD (5) Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang
2024	—	`conf`	On the Efficiency of Privacy Attacks in Federated Learning. CVPR Workshops Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024	J	`jnl`	On the Efficiency of Privacy Attacks in Federated Learning. CoRR Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024	J	`jnl`	Security and Privacy Challenges of Large Language Models: A Survey. CoRR Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
2024	A*	`conf`	ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2023	—	`conf`	Amplifying Object Tracking Performance on Edge Devices. CogMI Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, 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	J	`jnl`	Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. CoRR Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu
2023	J	`jnl`	Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2023	—	`conf`	Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
2023	J	`jnl`	Invisible Watermarking for Audio Generation Diffusion Models. CoRR Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
2023	A*	`conf`	Model Cloaking against Gradient Leakage. ICDM Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu
2023	—	`conf`	Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. BIBM Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
2023	J	`jnl`	Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. CoRR Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
2023	—	`conf`	Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2023	J	`jnl`	Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
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
2023	J	`jnl`	Selecting and Composing Learning Rate Policies for Deep Neural Networks. ACM Trans. Intell. Syst. Technol. Yanzhao Wu, Ling Liu
2023	—	`—`	Towards Deep Learning System and Algorithm Co-design. Yanzhao Wu
2022	J	`jnl`	A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
2022	J	`jnl`	Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. IEEE Trans. Serv. Comput. Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
2022	J	`jnl`	Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. ACM Trans. Inf. Syst. Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li
2022	J	`jnl`	Selecting and Composing Learning Rate Policies for Deep Neural Networks. CoRR Yanzhao Wu, Ling Liu
2021	A*	`conf`	Boosting Deep Ensemble Performance with Hierarchical Pruning. ICDM Yanzhao Wu, 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	A	`conf`	Gradient-Leakage Resilient Federated Learning. ICDCS Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
2021	J	`jnl`	Gradient-Leakage Resilient Federated Learning. CoRR Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
2021	J	`jnl`	Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. CoRR Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
2021	J	`jnl`	Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering. CoRR Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li
2021	—	`conf`	Parallel Detection for Efficient Video Analytics at the Edge. CogMI Yanzhao Wu, Ling Liu, Ramana Kompella
2021	J	`jnl`	Parallel Detection for Efficient Video Analytics at the Edge. CoRR Yanzhao Wu, Ling Liu, Ramana Kompella
2021	J	`jnl`	RDMAbox : Optimizing RDMA for Memory Intensive Workloads. CoRR Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu
2021	—	`conf`	RDMAbox: Optimizing RDMA for Memory Intensive Workload. CIC Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
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	—	`conf`	Cross-Modal Joint Embedding with Diverse Semantics. CogMI Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
2020	—	`conf`	Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. MEMSYS Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu
2020	J	`jnl`	Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. CoRR Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu
2020	—	`conf`	Memory Abstraction and Optimization for Distributed Executors. CIC Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu
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	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	A	`conf`	Memory Disaggregation: Research Problems and Opportunities. ICDCS Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu
2018	J	`jnl`	A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
2018	A	`conf`	Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang
2018	A*	`conf`	CCAligner: a token based large-gap clone detector. ICSE Pengcheng Wang, Jeffrey Svajlenko, Yanzhao Wu, Yun Xu, Chanchal K. Roy
2018	—	`conf`	Experimental Characterizations and Analysis of Deep Learning Frameworks. IEEE BigData Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu