Dingyu Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
DERNet: Driver Emotion Recognition Using Onboard Camera.
IEEE Intell. Transp. Syst. Mag., 2024

Sketching, Moment Estimation, and the Lévy-Khintchine Representation Theorem.
CoRR, 2024

CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data.
CoRR, 2024

Universal Perfect Samplers for Incremental Streams.
CoRR, 2024

Fourier Transform-based Estimators for Data Sketches.
CoRR, 2024

ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias.
J. Am. Medical Informatics Assoc., September, 2023

Probabilistic Counting in Generalized Turnstile Models.
CoRR, 2023

Better Cardinality Estimators for HyperLogLog, PCSA, and Beyond.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

2022
A Graph-Based Approach to Boundary Estimation With Mobile Sensors.
IEEE Robotics Autom. Lett., 2022

Simpler and Better Cardinality Estimators for HyperLogLog and PCSA.
CoRR, 2022

2021
Information theoretic limits of cardinality estimation: Fisher meets Shannon.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Optimal Protocols for 2-Party Contention Resolution.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2021

Non-Mergeable Sketching for Cardinality Estimation.
Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

2020
Simple and Efficient Cardinality Estimation in Data Streams.
CoRR, 2020

2019
Distance-Penalized Active Learning via Markov Decision Processes.
Proceedings of the IEEE Data Science Workshop, 2019


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