Dehao Yuan

According to our database, Dehao Yuan authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Evaluating LLM Simulators as Differentially Private Data Generators.

Nassima M. Bouzid, Dehao Yuan, Nam H. Nguyen, Mayana Pereira

CoRR, April, 2026

Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer.

Yulun Wu, Sravan Kumar Ankireddy, Samuel Sharpe, Nikita Seleznev, Dehao Yuan, Hyeji Kim, Nam H. Nguyen

CoRR, March, 2026

Real-time Motion Segmentation with Event-based Normal Flow.

Sheng Zhong, Zhongyang Ren, Xiya Zhu, Dehao Yuan, Cornelia Fermüller, Yi Zhou

CoRR, February, 2026

PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback.

Dehao Yuan, Tyler Farnan, Stefan Tesliuc, Doron L. Bergman, Yulun Wu, Xiaoyu Liu, Minghui Liu, James Montgomery, Nam H. Nguyen, C. Bayan Bruss, Furong Huang

CoRR, January, 2026

2025

Motion Segmentation and Egomotion Estimation from Event-Based Normal Flow.

Zhiyuan Hua, Dehao Yuan, Cornelia Fermüller

CoRR, July, 2025

A Real-Time Event-Based Normal Flow Estimator.

Dehao Yuan, Cornelia Fermüller

CoRR, April, 2025

Discovering Object Attributes by Prompting Large Language Models With Perception-Action Apis.

Angelos Mavrogiannis, Dehao Yuan, Yiannis Aloimonos

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Learning Normal Flow Directly from Events.

Dehao Yuan, Levi Burner, Jiayi Wu, Minghui Liu, Jingxi Chen, Yiannis Aloimonos, Cornelia Fermüller

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation.

Jingxi Chen, Brandon Y. Feng, Haoming Cai, Tianfu Wang, Levi Burner, Dehao Yuan, Cornelia Fermüller, Christopher A. Metzler, Yiannis Aloimonos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Learning Normal Flow Directly From Event Neighborhoods.

Dehao Yuan, Levi Burner, Jiayi Wu, Minghui Liu, Jingxi Chen, Yiannis Aloimonos, Cornelia Fermüller

CoRR, 2024

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM).

Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decodable and Sample Invariant Continuous Object Encoder.

Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Gluing Neural Networks Symbolically Through Hyperdimensional Computing.

Peter Sutor Jr., Dehao Yuan, Douglas Summers-Stay, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the International Joint Conference on Neural Networks, 2022

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.

Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022