default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYanzhao Wu 0001
Person information
- unicode name: 吴彦钊
- affiliation: Florida International University, School of Computing and Information Sciences, Miami, FL, USA
- affiliation (PhD 2022): Georgia Institute of Technology, School of Computer Science, Atlanta, GA, USA
Other persons with the same name
- Yanzhao Wu 0002 — Chinese Academy and Sciences, Centre for Earth Observation and Digital Earth, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j7]Yanzhao Wu
, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. 15(1): 15:1-15:24 (2024)- [j6]Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu:
Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. 17(1): 237-250 (2024) - [c34]Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
On the Efficiency of Privacy Attacks in Federated Learning. CVPR Workshops 2024: 4226-4235 - [c33]Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang:
Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. INFOCOM (Workshops) 2024: 1-6 - [c32]Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang:
Individual Fairness with Group Awareness Under Uncertainty. ECML/PKDD (5) 2024: 89-106 - [c31]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:
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - [c30]Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW 2024: 2807-2816 - [i32]Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu:
Security and Privacy Challenges of Large Language Models: A Survey. CoRR abs/2402.00888 (2024) - [i31]Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
On the Efficiency of Privacy Attacks in Federated Learning. CoRR abs/2404.09430 (2024) - [i30]Maryam Akhavan Aghdam, Hongpeng Jin, Yanzhao Wu:
DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models. CoRR abs/2409.06669 (2024) - [i29]Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu:
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data. CoRR abs/2409.18907 (2024) - [i28]Hongpeng Jin, Yanzhao Wu:
Boosting Deep Ensembles with Learning Rate Tuning. CoRR abs/2410.07564 (2024) - [i27]Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei:
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. CoRR abs/2410.13122 (2024) - [i26]Hongpeng Jin, Yanzhao Wu:
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration. CoRR abs/2411.02829 (2024) - 2023
- [b1]Yanzhao Wu:
Towards Deep Learning System and Algorithm Co-design. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j5]Yanzhao Wu, Ling Liu:
Selecting and Composing Learning Rate Policies for Deep Neural Networks. ACM Trans. Intell. Syst. Technol. 14(2): 22:1-22:25 (2023) - [j4]Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu:
Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. 34(7): 2040-2054 (2023) - [c29]Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu:
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. BIBM 2023: 1870-1873 - [c28]Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Amplifying Object Tracking Performance on Edge Devices. CogMI 2023: 83-92 - [c27]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI 2023: 112-121 - [c26]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR 2023: 16343-16351 - [c25]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM 2023: 648-657 - [c24]Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu:
Model Cloaking against Gradient Leakage. ICDM 2023: 1403-1408 - [c23]Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA 2023: 193-202 - [i25]Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu:
EENet: Learning to Early Exit for Adaptive Inference. CoRR abs/2301.07099 (2023) - [i24]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CoRR abs/2303.11511 (2023) - [i23]Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu:
Securing Distributed SGD against Gradient Leakage Threats. CoRR abs/2305.06473 (2023) - [i22]Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. CoRR abs/2309.02666 (2023) - [i21]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR abs/2309.08859 (2023) - [i20]Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. CoRR abs/2309.13166 (2023) - [i19]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR abs/2310.02237 (2023) - [i18]Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu:
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. CoRR abs/2311.06643 (2023) - [i17]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR abs/2311.10293 (2023) - 2022
- [j3]Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li:
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. ACM Trans. Inf. Syst. 40(4): 74:1-74:27 (2022) - [j2]Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang:
A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. 15(1): 551-566 (2022) - [j1]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. IEEE Trans. Serv. Comput. 15(6): 3304-3316 (2022) - [i16]Yanzhao Wu, Ling Liu:
Selecting and Composing Learning Rate Policies for Deep Neural Networks. CoRR abs/2210.12936 (2022) - 2021
- [c22]Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar:
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. IEEE BigData 2021: 76-85 - [c21]Yanzhao Wu, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. CogMI 2021: 1-10 - [c20]Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
RDMAbox: Optimizing RDMA for Memory Intensive Workload. CIC 2021: 1-10 - [c19]Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei:
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR 2021: 16469-16477 - [c18]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. ICDCS 2021: 797-807 - [c17]Yanzhao Wu, Ling Liu:
Boosting Deep Ensemble Performance with Hierarchical Pruning. ICDM 2021: 1433-1438 - [i15]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
RDMAbox : Optimizing RDMA for Memory Intensive Workloads. CoRR abs/2104.12197 (2021) - [i14]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. CoRR abs/2107.01154 (2021) - [i13]Yanzhao Wu, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. CoRR abs/2107.12563 (2021) - [i12]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. CoRR abs/2108.00724 (2021) - [i11]Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li:
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering. CoRR abs/2110.11592 (2021) - 2020
- [c16]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Cross-Modal Joint Embedding with Diverse Semantics. CogMI 2020: 157-166 - [c15]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI 2020: 208-217 - [c14]Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Abstraction and Optimization for Distributed Executors. CIC 2020: 78-87 - [c13]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) 2020: 460-481 - [c12]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) 2020: 545-566 - [c11]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC 2020: 456-460 - [c10]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. MEMSYS 2020: 194-208 - [c9]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA 2020: 236-245 - [c8]Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA 2020: 263-272 - [i10]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR abs/2004.04320 (2020) - [i9]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR abs/2004.10397 (2020) - [i8]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through An Adversarial Lens. CoRR abs/2007.05828 (2020) - [i7]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. CoRR abs/2008.00902 (2020) - [i6]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR abs/2010.10623 (2020)
2010 – 2019
- 2019
- [c7]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData 2019: 1282-1291 - [c6]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData 2019: 1971-1980 - [c5]Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Disaggregation: Research Problems and Opportunities. ICDCS 2019: 1664-1673 - [c4]Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS 2019: 274-282 - [i5]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR abs/1908.06477 (2019) - [i4]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR abs/1908.07667 (2019) - [i3]Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR abs/1908.11091 (2019) - [i2]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR abs/1910.01742 (2019) - 2018
- [c3]Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu:
Experimental Characterizations and Analysis of Deep Learning Frameworks. IEEE BigData 2018: 372-377 - [c2]Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang:
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS 2018: 1258-1269 - [c1]Pengcheng Wang, Jeffrey Svajlenko, Yanzhao Wu, Yun Xu, Chanchal K. Roy:
CCAligner: a token based large-gap clone detector. ICSE 2018: 1066-1077 - [i1]Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang:
A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR abs/1810.12210 (2018)
Coauthor Index
aka: Ka Ho Chow
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
