Dingyu Wang

27 papers A* 5A 1C 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multimodal vision foundation model for generalizable knee pathology.
CoRR
Kang Yu, Dingyu Wang, Zimu Yuan, Nan Zhou, Jiajun Liu, Jiaxin Liu, Shanggui Liu, Yaoyan Zheng, Huishu Yuan, Di Huang, Dong Jiang
2026 J jnl
OrthoDiffusion: A Generalizable Multi-Task Diffusion Foundation Model for Musculoskeletal MRI Interpretation.
CoRR
Tian Lan, Lei Xu, Zimu Yuan, Shanggui Liu, Jiajun Liu, Jiaxin Liu, Weilai Xiang, Hongyu Yang, Dong Jiang, Jianxin Yin, Dingyu Wang
2025 A* conf
Harmonic Decomposition in Data Sketches.
STOC
Dingyu Wang
2025 — conf
Multi-dimensional Approximate Counting.
SOSA
Dingyu Wang
2025 A conf
Sketching, Moment Estimation, and the Lévy-Khintchine Representation Theorem.
ITCS
Seth Pettie, Dingyu Wang
2025 J jnl
The Illusion of Clinical Reasoning: A Benchmark Reveals the Pervasive Gap in Vision-Language Models for Clinical Competency.
CoRR
Dingyu Wang, Zimu Yuan, Jiajun Liu, Shanggui Liu, Nan Zhou, Tianxing Xu, Di Huang, Dong Jiang
2025 A* conf
Universal Perfect Samplers for Incremental Streams.
SODA
Seth Pettie, Dingyu Wang
2025 J jnl
Which2comm: An Efficient Collaborative Perception Framework for 3D Object Detection.
CoRR
Duanrui Yu, Jing You, Xin Pei, Anqi Qu, Dingyu Wang, Shaocheng Jia
2024 — conf
ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology.
MICCAI (5)
Chao Liu, Xueqing Yu, Dingyu Wang, Tingting Jiang
2024 — conf
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data.
ITSC
Jiachen Ye, Dingyu Wang, Shaocheng Jia, Xin Pei, Zi Yang, Yi Zhang, Sze Chun Wong
2024 J jnl
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data.
CoRR
Jiachen Ye, Dingyu Wang, Shaocheng Jia, Xin Pei, Zi Yang, Yi Zhang, Sze Chun Wong
2024 J jnl
DERNet: Driver Emotion Recognition Using Onboard Camera.
IEEE Intell. Transp. Syst. Mag.
Dingyu Wang, Shaocheng Jia, Xin Pei, Chunyang Han, Danya Yao, Dezhi Liu
2024 J jnl
Fourier Transform-based Estimators for Data Sketches.
CoRR
Seth Pettie, Dingyu Wang
2024 J jnl
Multi-dimensional Approximate Counting.
CoRR
Dingyu Wang
2024 J jnl
Optimal Protocols for 2-Party Contention Resolution.
CoRR
Dingyu Wang
2024 J jnl
Sketching, Moment Estimation, and the Lévy-Khintchine Representation Theorem.
CoRR
Seth Pettie, Dingyu Wang
2024 J jnl
Universal Perfect Samplers for Incremental Streams.
CoRR
Seth Pettie, Dingyu Wang
2023 A* conf
Better Cardinality Estimators for HyperLogLog, PCSA, and Beyond.
PODS
Dingyu Wang, Seth Pettie
2023 J jnl
Probabilistic Counting in Generalized Turnstile Models.
CoRR
Dingyu Wang
2022 J jnl
A Graph-Based Approach to Boundary Estimation With Mobile Sensors.
IEEE Robotics Autom. Lett.
Sean O. Stalley, Dingyu Wang, Gautam Dasarathy, John Lipor
2022 J jnl
Simpler and Better Cardinality Estimators for HyperLogLog and PCSA.
CoRR
Seth Pettie, Dingyu Wang
2021 A* conf
Information theoretic limits of cardinality estimation: Fisher meets Shannon.
STOC
Seth Pettie, Dingyu Wang
2021 A* conf
Non-Mergeable Sketching for Cardinality Estimation.
ICALP
Seth Pettie, Dingyu Wang, Longhui Yin
2021 C conf
Optimal Protocols for 2-Party Contention Resolution.
SSS
Dingyu Wang
2020 J jnl
Information Theoretic Limits of Cardinality Estimation: Fisher Meets Shannon.
CoRR
Seth Pettie, Dingyu Wang
2020 J jnl
Simple and Efficient Cardinality Estimation in Data Streams.
CoRR
Seth Pettie, Dingyu Wang, Longhui Yin
2019 — conf
Distance-Penalized Active Learning via Markov Decision Processes.
DSW
Dingyu Wang, John Lipor, Gautam Dasarathy