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Lydia Y. Chen
Lydia Yiyu Chen – Yiyu Chen 0001
Person information
- affiliation: IBM Research, Zurich, Switzerland
- affiliation (former): Pennsylvania State University, University Park, PA, USA
Other persons with the same name
- Yiyu Chen — disambiguation page
- Yiyu Chen 0002 — Korea University, Department of Brain and Cognitive Engineering, Seoul, South Korea
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2020 – today
- 2025
- [j47]Yidong Xu, Rui Han, Xiaojiang Zuo, Junyan Ouyang, Chi Harold Liu, Lydia Y. Chen:
Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge. Future Gener. Comput. Syst. 164: 107600 (2025) - 2024
- [j46]Xinyu Guo
, Xiaojiang Zuo, Rui Han
, Junyan Ouyang, Jing Xie, Chi Harold Liu
, Qinglong Zhang, Ying Guo
, Jing Chen
, Lydia Y. Chen
:
RobustDA: Lightweight Robust Domain Adaptation for Evolving Data at Edge. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(4): 688-704 (2024) - [j45]Zilong Zhao, Aditya Kunar, Robert Birke, Hiek Van der Scheer, Lydia Y. Chen:
CTAB-GAN+: enhancing tabular data synthesis. Frontiers Big Data 6 (2024) - [j44]Xiaojiang Zuo
, Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoyin Wang, Lydia Y. Chen:
FedViT: Federated continual learning of vision transformer at edge. Future Gener. Comput. Syst. 154: 1-15 (2024) - [j43]Qinglong Zhang
, Rui Han
, Chi Harold Liu
, Guoren Wang
, Lydia Y. Chen
:
ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge. IEEE Trans. Computers 73(6): 1616-1630 (2024) - [j42]Ziyu Li
, Wenbo Sun
, Danning Zhan, Yan Kang, Lydia Yiyu Chen, Alessandro Bozzon
, Rihan Hai
:
Amalur: The Convergence of Data Integration and Machine Learning. IEEE Trans. Knowl. Data Eng. 36(12): 7353-7367 (2024) - [c139]Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen:
Duwak: Dual Watermarks in Large Language Models. ACL (Findings) 2024: 11416-11436 - [c138]Lydia Y. Chen:
Trustworthy Federated Learning Systems. CLOSER 2024: 7 - [c137]Aditya Shankar
, Hans Brouwer, Rihan Hai, Lydia Y. Chen:
S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. ICDE 2024: 110-123 - [c136]Yuncong Zuo
, Bart Cox
, Lydia Y. Chen
, Jérémie Decouchant
:
Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. Middleware 2024: 367-378 - [c135]Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen:
On Dark Knowledge for Distilling Generators. PAKDD (2) 2024: 235-247 - [c134]Miruna Betianu
, Abele Malan
, Marco Aldinucci
, Robert Birke
, Lydia Y. Chen
:
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. PAKDD (3) 2024: 277-289 - [c133]Mohamed Rashad, Zilong Zhao, Jérémie Decouchant, Lydia Y. Chen:
TabVFL: Improving Latent Representation in Vertical Federated Learning. SRDS 2024: 210-221 - [c132]Jiyue Huang, Lydia Y. Chen, Stefanie Roos:
On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. SRDS 2024: 235-247 - [c131]Simon Queyrut, Valerio Schiavoni, Lydia Y. Chen, Pascal Felber, Robert Birke:
CLUES: Collusive Theft of Conditional Generative Adversarial Networks. SRDS 2024: 282-293 - [i51]Caspar Meijer, Lydia Y. Chen:
The Rise of Diffusion Models in Time-Series Forecasting. CoRR abs/2401.03006 (2024) - [i50]Chaoyi Zhu, Jiayi Tang, Hans Brouwer, Juan F. Pérez, Marten van Dijk, Lydia Y. Chen:
Quantifying and Mitigating Privacy Risks for Tabular Generative Models. CoRR abs/2403.07842 (2024) - [i49]Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen:
Duwak: Dual Watermarks in Large Language Models. CoRR abs/2403.13000 (2024) - [i48]Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen:
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. CoRR abs/2404.03299 (2024) - [i47]Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia Y. Chen:
TabVFL: Improving Latent Representation in Vertical Federated Learning. CoRR abs/2404.17990 (2024) - [i46]Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen:
DALLMi: Domain Adaption for LLM-based Multi-label Classifier. CoRR abs/2405.01883 (2024) - [i45]Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen:
SFDDM: Single-fold Distillation for Diffusion models. CoRR abs/2405.14961 (2024) - [i44]Abele Malan, Jérémie Decouchant, Thiago Guzella, Lydia Y. Chen:
CCBNet: Confidential Collaborative Bayesian Networks Inference. CoRR abs/2405.15055 (2024) - [i43]Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos:
Gradient Inversion of Federated Diffusion Models. CoRR abs/2405.20380 (2024) - [i42]Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai:
Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. CoRR abs/2405.20761 (2024) - [i41]Bart Cox, Abele Malan, Lydia Y. Chen, Jérémie Decouchant:
Asynchronous Byzantine Federated Learning. CoRR abs/2406.01438 (2024) - [i40]Yuncong Zuo, Bart Cox
, Lydia Y. Chen, Jérémie Decouchant:
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. CoRR abs/2406.01439 (2024) - [i39]Bart Cox
, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen:
Parameterizing Federated Continual Learning for Reproducible Research. CoRR abs/2406.02015 (2024) - [i38]Chenrui Fan, Zhi Wen Soi, Aditya Shankar, Abele Malan, Lydia Y. Chen:
Federated Time Series Generation on Feature and Temporally Misaligned Data. CoRR abs/2410.21072 (2024) - [i37]Rocco Manz Maruzzelli, Basile Lewandowski, Lydia Y. Chen:
MPQ-Diff: Mixed Precision Quantization for Diffusion Models. CoRR abs/2412.00144 (2024) - [i36]H. Çagri Bilgi, Lydia Y. Chen, Kubilay Atasu:
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations. CoRR abs/2412.00241 (2024) - 2023
- [j41]Shilin Wen, Rui Han, Chi Harold Liu, Lydia Y. Chen:
Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs. J. Cloud Comput. 12(1): 90 (2023) - [c130]Zilong Zhao, Robert Birke, Lydia Y. Chen:
GDTS: GAN-Based Distributed Tabular Synthesizer. CLOUD 2023: 570-576 - [c129]Zilong Zhao
, Robert Birke
, Lydia Y. Chen
:
FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. CIKM 2023: 4450-4454 - [c128]Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos:
Fabricated Flips: Poisoning Federated Learning without Data. DSN 2023: 274-287 - [c127]Zilong Zhao
, Jiyue Huang
, Lydia Y. Chen
, Stefanie Roos:
Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. FC 2023: 200-217 - [c126]Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen:
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. ICDE 2023: 341-354 - [c125]Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen:
EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. ICDE 2023: 3643-3646 - [c124]Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen:
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. ICML 2023: 43158-43180 - [c123]Yasmine Djebrouni
, Isabelly Rocha
, Sara Bouchenak
, Lydia Y. Chen
, Pascal Felber
, Vania Marangozova
, Valerio Schiavoni
:
Characterizing Distributed Machine Learning Workloads on Apache Spark: (Experimentation and Deployment Paper). Middleware 2023: 151-164 - [c122]Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos:
Maverick Matters: Client Contribution and Selection in Federated Learning. PAKDD (2) 2023: 269-282 - [c121]Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen:
Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) 2023: 20-35 - [c120]Bart Cox
, Jeroen Galjaard
, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen
:
Parameterizing Federated Continual Learning for Reproducible Research. PKDD/ECML Workshops (5) 2023: 478-486 - [c119]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. SDM 2023: 568-576 - [i35]Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen:
GTV: Generating Tabular Data via Vertical Federated Learning. CoRR abs/2302.01706 (2023) - [i34]Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen:
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise. CoRR abs/2309.06046 (2023) - [i33]Zilong Zhao, Robert Birke, Lydia Y. Chen:
TabuLa: Harnessing Language Models for Tabular Data Synthesis. CoRR abs/2310.12746 (2023) - [i32]Jui-Yi Tsai, Ya-Wen Teng, Ho Chiok Yew, De-Nian Yang, Lydia Y. Chen:
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model. CoRR abs/2311.01729 (2023) - 2022
- [j40]Bart Cox
, Robert Birke, Lydia Y. Chen:
Memory-aware and context-aware multi-DNN inference on the edge. Pervasive Mob. Comput. 83: 101594 (2022) - [j39]Jin Wang
, Hui Han
, Hao Li
, Shiming He, Pradip Kumar Sharma
, Lydia Y. Chen
:
Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G. IEEE Trans. Ind. Informatics 18(3): 1939-1948 (2022) - [j38]Qinglong Zhang, Rui Han
, Gaofeng Xin, Chi Harold Liu
, Guoren Wang, Lydia Y. Chen
:
Lightweight and Accurate DNN-Based Anomaly Detection at Edge. IEEE Trans. Parallel Distributed Syst. 33(11): 2927-2942 (2022) - [j37]Jianxin Zhao
, Rui Han
, Yongkai Yang, Benjamin Catterall, Chi Harold Liu
, Lydia Y. Chen
, Richard Mortier, Jon Crowcroft
, Liang Wang
:
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. IEEE Trans. Serv. Comput. 15(2): 614-626 (2022) - [c118]Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen:
Trusted Loss Correction for Noisy Multi-Label Learning. ACML 2022: 343-358 - [c117]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Multi Label Loss Correction against Missing and Corrupted Labels. ACML 2022: 359-374 - [c116]Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen:
Permutation-Invariant Tabular Data Synthesis. IEEE Big Data 2022: 5855-5864 - [c115]Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang:
Targeted Influence with Community and Gender-Aware Seeding. CIKM 2022: 4515-4519 - [c114]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
LABNET: A Collaborative Method for DNN Training and Label Aggregation. ICAART (2) 2022: 56-66 - [c113]Christopher Stewart
, Nathaniel Morris, Lydia Y. Chen, Robert Birke:
Performance Modeling for Short-Term Cache Allocation. ICPP 2022: 31:1-31:11 - [c112]Rui Han, Shilin Wen, Chi Harold Liu, Ye Yuan, Guoren Wang, Lydia Y. Chen:
EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources. INFOCOM 2022: 880-889 - [c111]Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel:
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. ISSRE 2022: 193-204 - [c110]Isabelly Rocha, Pascal Felber, Valerio Schiavoni
, Lydia Y. Chen:
EdgeTune: Inference-Aware Multi-Parameter Tuning. Middleware 2022: 1-14 - [c109]Bart Cox
, Lydia Y. Chen
, Jérémie Decouchant
:
Aergia: leveraging heterogeneity in federated learning systems. Middleware 2022: 107-120 - [c108]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. SRDS 2022: 12-22 - [i31]Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen:
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. CoRR abs/2201.09967 (2022) - [i30]Chi Hong, Jiyue Huang, Lydia Y. Chen:
MEGA: Model Stealing via Collaborative Generator-Substitute Networks. CoRR abs/2202.00008 (2022) - [i29]Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos:
Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. CoRR abs/2202.05877 (2022) - [i28]Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen:
CTAB-GAN+: Enhancing Tabular Data Synthesis. CoRR abs/2204.00401 (2022) - [i27]Federico Lucchetti, Jérémie Decouchant, Maria Fernandes, Lydia Y. Chen, Marcus Völp
:
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets. CoRR abs/2204.11017 (2022) - [i26]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. CoRR abs/2204.13784 (2022) - [i25]Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang:
Targeted Influence with Community and Gender-Aware Seeding. CoRR abs/2208.12649 (2022) - [i24]Bart Cox, Lydia Y. Chen, Jérémie Decouchant:
Aergia: Leveraging Heterogeneity in Federated Learning Systems. CoRR abs/2210.06154 (2022) - [i23]Zilong Zhao, Robert Birke, Lydia Y. Chen:
FCT-GAN: Enhancing Table Synthesis via Fourier Transform. CoRR abs/2210.06239 (2022) - [i22]Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel:
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. CoRR abs/2210.06856 (2022) - [i21]Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen:
Permutation-Invariant Tabular Data Synthesis. CoRR abs/2211.09286 (2022) - 2021
- [j36]Zixuan Li
, Hao Li
, Kenli Li
, Fan Wu
, Lydia Yiyu Chen
, Keqin Li
:
Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis. Trans. Data Sci. 2(4): 37:1-37:27 (2021) - [j35]Sophie Cerf
, Sara Bouchenak, Bogdan Robu
, Nicolas Marchand
, Vincent Primault, Sonia Ben Mokhtar
, Antoine Boutet, Lydia Y. Chen
:
Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach. IEEE Trans. Dependable Secur. Comput. 18(1): 269-282 (2021) - [j34]Zilong Zhao
, Robert Birke, Rui Han
, Bogdan Robu
, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
:
Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. IEEE Trans. Dependable Secur. Comput. 18(5): 2177-2192 (2021) - [j33]Rui Han
, Chi Harold Liu
, Shilin Li
, Lydia Y. Chen, Guoren Wang, Jian Tang
, Jieping Ye:
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. IEEE Trans. Knowl. Data Eng. 33(5): 2223-2236 (2021) - [j32]Nur Zincir-Heywood
, Giuliano Casale
, David Carrera
, Lydia Y. Chen
, Amogh Dhamdhere, Takeru Inoue
, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II. IEEE Trans. Netw. Serv. Manag. 18(1): 775-779 (2021) - [j31]Rui Han
, Shilin Li
, Xiangwei Wang, Chi Harold Liu
, Gaofeng Xin, Lydia Y. Chen
:
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms. IEEE Trans. Parallel Distributed Syst. 32(7): 1591-1602 (2021) - [j30]Hao Li
, Zixuan Li, Kenli Li
, Jan S. Rellermeyer
, Lydia Y. Chen, Keqin Li
:
SGD$\_$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. IEEE Trans. Parallel Distributed Syst. 32(7): 1828-1841 (2021) - [j29]Rui Han
, Dong Li, Junyan Ouyang
, Chi Harold Liu
, Guoren Wang, Dapeng Wu
, Lydia Y. Chen:
Accurate Differentially Private Deep Learning on the Edge. IEEE Trans. Parallel Distributed Syst. 32(9): 2231-2247 (2021) - [j28]Robert Birke
, Juan F. Pérez
, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen
:
sPARE: Partial Replication for Multi-Tier Applications in the Cloud. IEEE Trans. Serv. Comput. 14(2): 574-588 (2021) - [c107]Zilong Zhao
, Aditya Kunar, Robert Birke, Lydia Y. Chen:
CTAB-GAN: Effective Table Data Synthesizing. ACML 2021: 97-112 - [c106]Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
QActor: Active Learning on Noisy Labels. ACML 2021: 548-563 - [c105]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. BDCAT 2021: 52-62 - [c104]Ya-Wen Teng, Hsi-Wen Chen, De-Nian Yang
, Yvonne-Anne Pignolet, Ting-Wei Li, Lydia Yiyu Chen:
On Influencing the Influential: Disparity Seeding. CIKM 2021: 1804-1813 - [c103]Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
LABELNET: Recovering Noisy Labels. IJCNN 2021: 1-8 - [c102]Florin Ciucu, Felix Poloczek, Lydia Y. Chen, Martin Chan:
Practical Analysis of Replication-Based Systems. INFOCOM 2021: 1-10 - [c101]Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen:
LegoDNN: block-grained scaling of deep neural networks for mobile vision. MobiCom 2021: 406-419 - [c100]Bart Cox
, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Masa: Responsive Multi-DNN Inference on the Edge. PerCom 2021: 1-10 - [c99]Jeroen Galjaard, Bart Cox
, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke:
MemA: Fast Inference of Multiple Deep Models. PerCom Workshops 2021: 281-286 - [c98]Bart Cox
, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Artifact: Masa: Responsive Multi-DNN Inference on the Edge. PerCom Workshops 2021: 446-447 - [c97]Diego Albo Martínez, Sharwin Bobde, Tomasz Motyka, Lydia Yiyu Chen:
Courier: Real-Time Optimal Batch Size Prediction for Latency SLOs in BigDL. ICPE 2021: 133-144 - [c96]Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen:
Online Label Aggregation: A Variational Bayesian Approach. WWW 2021: 1904-1915 - [i20]Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen:
CTAB-GAN: Effective Table Data Synthesizing. CoRR abs/2102.08369 (2021) - [i19]Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen:
Enhancing Robustness of On-line Learning Models on Highly Noisy Data. CoRR abs/2103.10824 (2021) - [i18]Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos:
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. CoRR abs/2106.10734 (2021) - [i17]Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Y. Chen:
DTGAN: Differential Private Training for Tabular GANs. CoRR abs/2107.02521 (2021) - [i16]Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen:
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. CoRR abs/2108.02032 (2021) - [i15]Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen:
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. CoRR abs/2108.07927 (2021) - [i14]Ben Proven-Bessel, Zilong Zhao, Lydia Y. Chen:
ComicGAN: Text-to-Comic Generative Adversarial Network. CoRR abs/2109.09120 (2021) - [i13]Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Y. Chen, Keqin Li:
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis. CoRR abs/2111.11682 (2021) - [i12]Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen:
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision. CoRR abs/2112.09852 (2021) - 2020
- [j27]Rajiv Ranjan, Lydia Y. Chen, Prem Prakash Jayaraman
, Albert Y. Zomaya
:
A note on advances in scheduling algorithms for Cyber-Physical-Social workflows. Future Gener. Comput. Syst. 108: 1027-1029 (2020) - [j26]Nur Zincir-Heywood
, Giuliano Casale
, David Carrera
, Lydia Y. Chen
, Amogh Dhamdhere, Takeru Inoue
, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I. IEEE Trans. Netw. Serv. Manag. 17(4): 1971-1974 (2020) - [j25]Rajiv Ranjan
, Ching-Hsien Hsu
, Lydia Y. Chen, Dimitrios Georgakopoulos
:
Holistic Technologies for Managing Internet of Things Services. IEEE Trans. Serv. Comput. 13(4): 597-601 (2020) - [j24]Joel Vallone, Robert Birke, Lydia Y. Chen
:
Making Neighbors Quiet: An Approach to Detect Virtual Resource Contention. IEEE Trans. Serv. Comput. 13(5): 843-856 (2020) - [c95]Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CogMI 2020: 17-26 - [c94]Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber
, Robert Birke, Valerio Schiavoni
:
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. Middleware 2020: 89-104 - [c93]Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos:
An Exploratory Analysis on Users' Contributions in Federated Learning. TPS-ISA 2020: 20-29 - [i11]Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
QActor: On-line Active Learning for Noisy Labeled Stream Data. CoRR abs/2001.10399 (2020) - [i10]Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR abs/2007.05305 (2020) - [i9]Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen:
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. CoRR abs/2007.06324 (2020) - [i8]Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni:
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. CoRR abs/2010.00501 (2020) - [i7]Taraneh Younesian, Dick H. J. Epema, Lydia Y. Chen:
Active Learning for Noisy Data Streams Using Weak and Strong Labelers. CoRR abs/2010.14149 (2020) - [i6]Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak