Power-performance co-optimization of throughput core architecture using resistive memory. - Nilanjan Goswami; Bingyi Cao; Tao Li 006 (HPCA, 2013)

Implementing latency-insensitive dataflow blocks. - Bingyi Cao; Kenneth A. Ross; Martha A. Kim; Stephen A. Edwards (MEMOCODE, 2015)

The Use of a Multi-Display System in University Classroom Lectures. - Bingyi Cao; Margarita Esponda; Raúl Rojas 001 (ISS, 2016)

Deadlock-free joins in DB-mesh, an asynchronous systolic array accelerator. - Bingyi Cao; Kenneth A. Ross; Stephen A. Edwards; Martha A. Kim (DaMoN, 2017)

Exploring the Use of Multi-Display-Based Electronic Blackboards and Personal Mobile Devices in University Classrooms (Erforschung der Verwendung von Multi-Display-basierten elektronischen Tafeln und persönlichen mobilen Geräten in Universitätsklassenräumen) - Bingyi Cao (2017)

Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. - Tobias Weyand; André Araújo 001; Bingyi Cao; Jack Sim (CVPR, 2020)

Unifying Deep Local and Global Features for Image Search. - Bingyi Cao; André Araújo 001; Jack Sim (ECCV (20), 2020)

Accurate Localization of Autonomous Vehicles Based on Pattern Matching and Graph-Based Optimization in Urban Environments. - Bingyi Cao; Claas-Norman Ritter; Daniel Göhring; Raúl Rojas 001 (ITSC, 2020)

GALNet: An End-to-End Deep Neural Network for Ground Localization of Autonomous Cars. - Ricardo Carrillo Mendoza; Bingyi Cao; Daniel Göhring; Raúl Rojas 001 (ROBOVIS, 2020)

Unifying Deep Local and Global Features for Efficient Image Search. - Bingyi Cao; André Araújo 001; Jack Sim (CoRR, 2020)

LiDAR-Based Object-Level SLAM for Autonomous Vehicles. - Bingyi Cao; Ricardo Carrillo Mendoza; Andreas Philipp; Daniel Göhring (IROS, 2021)

Towards A Fairer Landmark Recognition Dataset. - Zu Kim; André Araújo 001; Bingyi Cao; Cam Askew; Jack Sim; Mike Green; N'Mah Fodiatu Yilla; Tobias Weyand (CoRR, 2021)

Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information. - Zu Kim; André Araújo 001; Bingyi Cao; Cam Askew; Jack Sim; Mike Green; N'Mah Fodiatu Yilla; Tobias Weyand (CoRR, 2022)

Global Features are All You Need for Image Retrieval and Reranking. - Shihao Shao; Kaifeng Chen; Arjun Karpur; Qinghua Cui; André Araújo 001; Bingyi Cao (ICCV, 2023)

Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. - Nikolaos-Antonios Ypsilantis; Kaifeng Chen; Bingyi Cao; Mário Lipovský; Pelin Dogan-Schönberger; Grzegorz Makosa; Boris Bluntschli; Mojtaba Seyedhosseini; Ondrej Chum; André Araújo 001 (ICCV, 2023)

Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles. - Bingyi Cao; Claas-Norman Ritter; Khaled Alomari; Daniel Goehring (IROS, 2023)

Implementation and Testing of V2X-Applications for Near Future Urban Traffic in Berlin. - Birgit Kwella; Kay Massow; Bernd Schäufele; Ilja Radusch; Johann Nikolai Hark; Claas-Norman Ritter; Bingyi Cao; Maximilian Kleinert; Christian Wille; Oliver Strop (COINS, 2024)

OmniGlue: Generalizable Feature Matching with Foundation Model Guidance. - Hanwen Jiang; Arjun Karpur; Bingyi Cao; Qixing Huang; André Araújo 001 (CVPR, 2024)

Time Sparse S-Transform (TSST) and Its Applications. - Siyuan Chen; Ying Shi 002; Ruixuan Zhang; Siyuan Cao; Bingyi Cao (IEEE Trans. Geosci. Remote. Sens., 2024)

Radon Transform Constrained Multitrace Pre-Stack Deconvolution Algorithm. - Wei Shi; Weihong Wang; Ying Shi 002; Siyuan Chen; Ning Wang 027; Bingyi Cao (IEEE Trans. Geosci. Remote. Sens., 2024)

Learning Visual Composition through Improved Semantic Guidance. - Austin Stone; Hagen Soltau; Robert Geirhos; Xi Yi; Ye Xia; Bingyi Cao; Kaifeng Chen; Abhijit Ogale; Jonathon Shlens (CVPR, 2025)

TIPS: Text-Image Pretraining with Spatial awareness. - Kevis-Kokitsi Maninis; Kaifeng Chen; Soham Ghosh; Arjun Karpur; Koert Chen; Ye Xia; Bingyi Cao; Daniel Salz; Guangxing Han; Jan Dlabal; Dan Gnanapragasam; Mojtaba Seyedhosseini; et al. (ICLR, 2025)