Daniel Ting - RankMe

38 papers A* 9A 1Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Approach to Test-Induced Defect Detection in Semiconductor Wafers, Using Graph-Based Semi-Supervised Learning (GSSL). IEEE Access Pedram Tabatabaeemoshiri, Narendra Kumar, Anis Salwa Mohd Khairuddin, Daniel Ting, Vivek Regeev
2025	J	`jnl`	Federated Data Shift Distance Estimation. Proc. VLDB Endow. Graham Cormode, Daniel Ting
2024	J	`jnl`	Challenges Faced by Large Language Models in Solving Multi-Agent Flocking. CoRR Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou
2023	A*	`conf`	Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting. ICML Jonathan Hehir, Daniel Ting, Graham Cormode
2023	J	`jnl`	Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting. CoRR Jonathan Hehir, Daniel Ting, Graham Cormode
2022	J	`jnl`	(Nearly) All Cardinality Estimators Are Differentially Private. CoRR Charlie Dickens, Justin Thaler, Daniel Ting
2022	—	`conf`	Adaptive Threshold Sampling. SIGMOD Conference Daniel Ting
2022	J	`jnl`	Breaking Cuckoo Hash: Black Box Attacks. IEEE Trans. Dependable Secur. Comput. Pedro Reviriego, Daniel Ting
2022	A*	`conf`	Order-Invariant Cardinality Estimators Are Differentially Private. NeurIPS Charlie Dickens, Justin Thaler, Daniel Ting
2022	—	`conf`	Statistical Schema Learning with Occam's Razor. SIGMOD Conference Justin Talbot, Daniel Ting
2021	—	`conf`	Conditional Cuckoo Filters. SIGMOD Conference Daniel Ting, Rick Cole
2021	J	`jnl`	More Accurate Streaming Cardinality Estimation With Vectorized Counters. IEEE Netw. Lett. Valerio Bruschi, Pedro Reviriego, Salvatore Pontarelli, Daniel Ting, Giuseppe Bianchi
2021	J	`jnl`	Simple, Optimal Algorithms for Random Sampling Without Replacement. CoRR Daniel Ting
2020	J	`jnl`	Conditional Cuckoo Filters. CoRR Daniel Ting, Rick Cole
2020	A*	`conf`	Data Sketching for Real Time Analytics: Theory and Practice. KDD Daniel Ting, Jonathan Malkin, Lee Rhodes
2020	J	`jnl`	Fast Updates for Line-Rate HyperLogLog-Based Cardinality Estimation. IEEE Commun. Lett. Pedro Reviriego, Valerio Bruschi, Salvatore Pontarelli, Daniel Ting, Giuseppe Bianchi
2020	J	`jnl`	HyperLogLog (HLL) Security: Inflating Cardinality Estimates. CoRR Pedro Reviriego, Pablo Adell, Daniel Ting
2020	J	`jnl`	Manifold Learning via Manifold Deflation. CoRR Daniel Ting, Michael I. Jordan
2020	J	`jnl`	Security of HyperLogLog (HLL) Cardinality Estimation: Vulnerabilities and Protection. CoRR Pedro Reviriego, Daniel Ting
2020	J	`jnl`	Security of HyperLogLog (HLL) Cardinality Estimation: Vulnerabilities and Protection. IEEE Commun. Lett. Pedro Reviriego, Daniel Ting
2019	—	`conf`	Approximate Distinct Counts for Billions of Datasets. SIGMOD Conference Daniel Ting
2019	—	`conf`	Learning to optimize federated queries. aiDM@SIGMOD Liqi Xu, Richard L. Cole, Daniel Ting
2018	A*	`conf`	Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions. KDD Daniel Ting
2018	J	`jnl`	Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions. CoRR Daniel Ting
2018	—	`conf`	Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation. SIGMOD Conference Daniel Ting
2018	A*	`conf`	Optimal Subsampling with Influence Functions. NeurIPS Daniel Ting, Eric Brochu
2017	J	`jnl`	Adaptive Threshold Sampling and Estimation. CoRR Daniel Ting
2017	J	`jnl`	Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation. CoRR Daniel Ting
2017	J	`jnl`	Optimal Sub-sampling with Influence Functions. CoRR Daniel Ting, Eric Brochu
2016	A*	`conf`	Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches. KDD Daniel Ting
2014	A*	`conf`	Streamed approximate counting of distinct elements: beating optimal batch methods. KDD Daniel Ting
2013	A*	`conf`	Mixture models of endhost network traffic. INFOCOM John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting
2012	J	`jnl`	Mixture Models of Endhost Network Traffic CoRR John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting
2012	J	`jnl`	Online Semi-Supervised Learning on Quantized Graphs CoRR Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting
2010	A*	`conf`	An Analysis of the Convergence of Graph Laplacians. ICML Daniel Ting, Ling Huang, Michael I. Jordan
2010	J	`jnl`	Neighbor-Dependent Ramachandran Probability Distributions of Amino Acids Developed from a Hierarchical Dirichlet Process Model. PLoS Comput. Biol. Daniel Ting, Guoli Wang, Maxim V. Shapovalov, Rajib Mitra, Michael I. Jordan, Roland L. Dunbrack Jr.
2010	A	`conf`	Online Semi-Supervised Learning on Quantized Graphs. UAI Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting
2008	J	`jnl`	Random orthogonal matrix masking methodology for microdata release. Int. J. Inf. Comput. Secur. Daniel Ting, Stephen E. Fienberg, Mario Trottini