Wei-Ning Chen - RankMe

58 papers A* 11A 3B 9C 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ACON: Optimizing Context Compression for Long-horizon LLM Agents. CoRR Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin A. Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan
2025	J	`jnl`	Learning GUI Grounding with Spatial Reasoning from Visual Feedback. CoRR Yu Zhao, Wei-Ning Chen, Huseyin A. Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
2025	A*	`conf`	Leveraging Randomness in Model and Data Partitioning for Privacy Amplification. ICML Andy Dong, Wei-Ning Chen, Ayfer Özgür
2025	J	`jnl`	Leveraging Randomness in Model and Data Partitioning for Privacy Amplification. CoRR Andy Dong, Wei-Ning Chen, Ayfer Özgür
2025	J	`jnl`	Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States. CoRR Eli Chien, Wei-Ning Chen, Pan Li
2025	J	`jnl`	Simulating Environments with Reasoning Models for Agent Training. CoRR Yuetai Li, Huseyin A. Inan, Xiang Yue, Wei-Ning Chen, Lukas Wutschitz, Janardhan Kulkarni, Radha Poovendran, Robert Sim, Saravan Rajmohan
2024	J	`jnl`	Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings. CoRR Pura Peetathawatchai, Wei-Ning Chen, Berivan Isik, Sanmi Koyejo, Albert No
2024	A	`conf`	Federated Experiment Design under Distributed Differential Privacy. AISTATS Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür
2024	J	`jnl`	Improved Communication-Privacy Trade-offs in L CoRR Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
2024	A*	`conf`	Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. ICML Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
2024	J	`jnl`	L CoRR Wei-Ning Chen, Ayfer Özgür
2024	B	`conf`	Lq Lower Bounds on Distributed Estimation via Fisher Information. ISIT Wei-Ning Chen, Ayfer Özgür
2024	—	`conf`	Over-the-Air Histogram Estimation. ICC Henrik Hellström, Jiwon Jeong, Wei-Ning Chen, Ayfer Özgür, Viktoria Fodor, Carlo Fischione
2024	J	`jnl`	Randomization Techniques to Mitigate the Risk of Copyright Infringement. CoRR Wei-Ning Chen, Peter Kairouz, Sewoong Oh, Zheng Xu
2024	J	`jnl`	Training Generative Models From Privatized Data via Entropic Optimal Transport. IEEE J. Sel. Areas Inf. Theory Daria Reshetova, Wei-Ning Chen, Ayfer Özgür
2024	B	`conf`	Training Generative Models from Privatized Data via Entropic Optimal Transport. ISIT Daria Reshetova, Wei-Ning Chen, Ayfer Özgür
2024	A*	`conf`	Universal Exact Compression of Differentially Private Mechanisms. NeurIPS Yanxiao Liu, Wei-Ning Chen, Ayfer Özgür, Cheuk Ting Li
2024	J	`jnl`	Universal Exact Compression of Differentially Private Mechanisms. CoRR Yanxiao Liu, Wei-Ning Chen, Ayfer Özgür, Cheuk Ting Li
2023	J	`jnl`	Adaptive Group Testing on Networks With Community Structure: The Stochastic Block Model. IEEE Trans. Inf. Theory Surin Ahn, Wei-Ning Chen, Ayfer Özgür
2023	J	`jnl`	Breaking the Communication-Privacy-Accuracy Trilemma. IEEE Trans. Inf. Theory Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
2023	A*	`conf`	Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. NeurIPS Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
2023	J	`jnl`	Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. CoRR Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
2023	A*	`conf`	Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. NeurIPS Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
2023	J	`jnl`	Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. CoRR Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
2023	J	`jnl`	Federated Experiment Design under Distributed Differential Privacy. CoRR Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür
2023	B	`conf`	Noisy Adaptive Group Testing for Community-Oriented Models. ISIT Surin Ahn, Wei-Ning Chen, Ayfer Özgür
2023	A*	`conf`	Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation. NeurIPS Wei-Ning Chen, Dan Song, Ayfer Özgür, Peter Kairouz
2023	J	`jnl`	Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation. CoRR Wei-Ning Chen, Dan Song, Ayfer Özgür, Peter Kairouz
2023	A	`conf`	The communication cost of security and privacy in federated frequency estimation. AISTATS Wei-Ning Chen, Ayfer Özgür, Graham Cormode, Akash Bharadwaj
2023	J	`jnl`	Training generative models from privatized data. CoRR Daria Reshetova, Wei-Ning Chen, Ayfer Özgür
2022	B	`conf`	Estimating Sparse Distributions Under Joint Communication and Privacy Constraints. ISIT Surin Ahn, Wei-Ning Chen, Ayfer Özgür
2022	A	`conf`	Optimal Compression of Locally Differentially Private Mechanisms. AISTATS Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis
2022	A*	`conf`	The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. ICML Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh
2022	J	`jnl`	The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. CoRR Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh
2022	A*	`conf`	The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation. ICML Wei-Ning Chen, Ayfer Özgür, Peter Kairouz
2022	J	`jnl`	The Poisson binomial mechanism for secure and private federated learning. CoRR Wei-Ning Chen, Ayfer Özgür, Peter Kairouz
2022	J	`jnl`	The communication cost of security and privacy in federated frequency estimation. CoRR Wei-Ning Chen, Ayfer Özgür, Graham Cormode, Akash Bharadwaj
2021	B	`conf`	Adaptive Group Testing on Networks with Community Structure. ISIT Surin Ahn, Wei-Ning Chen, Ayfer Özgür
2021	J	`jnl`	Adaptive Group Testing on Networks with Community Structure. CoRR Surin Ahn, Wei-Ning Chen, Ayfer Özgür
2021	A*	`conf`	Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints. COLT Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
2021	J	`jnl`	Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints. CoRR Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
2021	B	`conf`	Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür
2021	J	`jnl`	Optimal Compression of Locally Differentially Private Mechanisms. CoRR Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis
2021	A*	`conf`	Pointwise Bounds for Distribution Estimation under Communication Constraints. NeurIPS Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
2021	J	`jnl`	Pointwise Bounds for Distribution Estimation under Communication Constraints. CoRR Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
2020	A*	`conf`	Breaking the Communication-Privacy-Accuracy Trilemma. NeurIPS Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
2020	J	`jnl`	Breaking the Communication-Privacy-Accuracy Trilemma. CoRR Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
2020	J	`jnl`	Fisher Information Under Local Differential Privacy. IEEE J. Sel. Areas Inf. Theory Leighton Pate Barnes, Wei-Ning Chen, Ayfer Özgür
2020	J	`jnl`	Fisher information under local differential privacy. CoRR Leighton Pate Barnes, Wei-Ning Chen, Ayfer Özgür
2019	J	`jnl`	Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity. IEEE Trans. Inf. Theory Wei-Ning Chen, I-Hsiang Wang
2019	B	`conf`	On the Price of Source Anonymity in Heterogeneous Parametric Point Estimation. ISIT Wei-Ning Chen, I-Hsiang Wang
2018	J	`jnl`	Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity. CoRR Wei-Ning Chen, I-Hsiang Wang
2018	—	`conf`	Dynamic Path Pruning in Symbolic Execution. DSC Ying-Shen Chen, Wei-Ning Chen, Che-Yu Wu, Hsu-Chun Hsiao, Shih-Kun Huang
2018	B	`conf`	On the Fundamental Limits of Heterogeneous Distributed Detection: Price of Anonymity. ISIT Wei-Ning Chen, Ho-Chun Chen, I-Hsiang Wang
2017	B	`conf`	Partial data extraction via noisy histogram queries: Information theoretic bounds. ISIT Wei-Ning Chen, I-Hsiang Wang
2015	J	`jnl`	Energy-Efficient Deterministic Adaptive Beamforming Algorithms for Distributed Sensor/Relay Networks. CoRR Chun-Wei Li, Kuo-Ming Chen, Po-Chun Fu, Wei-Ning Chen, Che Lin
2010	—	`ch.`	Duplicate Work Reduction in Business Continuity and Risk Management Processes. Security Informatics Shi-Cho Cha, Pei-Wen Juo, Li-Ting Liu, Wei-Ning Chen
2008	C	`conf`	RiskPatrol: A risk management system considering the integration risk management with business continuity processes. ISI Shi-Cho Cha, Pei-Wen Juo, Li-Ting Liu, Wei-Ning Chen