Richard Liu

According to our database, Richard Liu authored at least 18 papers between 2000 and 2024.

Collaborative distances:

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

2024

Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force-Tempo Variations.

Subing Huang, Xiaoyu Guo, Jodie J. Xie, Kelvin Y. S. Lau, Richard Liu, Arthur D. P. Mak, Vincent C. K. Cheung, Rosa H. M. Chan

Sensors, May, 2024

Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization.

Rafael Mendoza, Isabella Cruz, Richard Liu, Aarav Deshmukh, David Williams, Jesscia Peng, Rohan Iyer

CoRR, 2024

General targeted machine learning for modern causal mediation analysis.

Richard Liu, Nicholas T. Williams, Kara E. Rudolph, Iván Díaz

CoRR, 2024

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization.

Aditya Raghavan, Utkarsh Pratiush, Mani Valleti, Richard Liu, Reece Emery, Hiroshi Funakubo, Yongtao Liu, Philip D. Rack, Sergei V. Kalinin

CoRR, 2024

Towards Multimodal Interaction with AI-Infused Shape-Changing Interfaces.

Chenfeng Gao, Wanli Qian, Richard Liu, Rana Hanocka, Ken Nakagaki

Proceedings of the Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis.

Zihan Zhang, Richard Liu, Rana Hanocka, Kfir Aberman

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

HyperFields: Towards Zero-Shot Generation of NeRFs from Text.

Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka

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

2023

DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization.

Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A neural net architecture based on principles of neural plasticity and development evolves to effectively catch prey in a simulated environment.

Addison Wood, Jory Schossau, Nick Sabaj, Richard Liu, Mark Reimers

CoRR, 2022

Text2Mesh: Text-Driven Neural Stylization for Meshes.

Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

A Scalable and Cloud-Native Hyperparameter Tuning System.

Johnu George, Ce Gao, Richard Liu, Hou Gang Liu, Yuan Tang, Ramdoot Pydipaty, Amit Kumar Saha

CoRR, 2020

2018

Unambiguous Identification and Visualization of an Acoustically Active Catheter by Ultrasound Imaging in Real Time: Theory, Algorithm, and Phantom Experiments.

Viksit Kumar, Richard Liu, Randall R. Kinnick, Adriana Gregory, Azra Alizad, Marek Belohlavek, Mostafa Fatemi

IEEE Trans. Biomed. Eng., 2018

2013

Storage and performance optimization of long tail key access in a social network.

John Liang, James Luo, Mark Drayton, Rajesh Nishtala, Richard Liu, Nick Hammer, Jason Taylor, Bill Jia

Proceedings of the 3rd International Workshop on Cloud Data and Platforms, 2013

2008

Automatic Skid Number Evaluation Using Texture Laser Measurement.

Jiabin Xie, Richard Liu, Brian Michalk

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

A Micro Ultra Low Power RF Radio for Neural Signal Recording.

Rui Zhong, Richard Liu, Haleh Fotowat, Fabrizio Gabbiani

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2004

Residual life predictions from vibration-based degradation signals: a neural network approach.

Nagi Gebraeel, Mark A. Lawley, Richard Liu, Vijay Parmeshwaran

IEEE Trans. Ind. Electron., 2004

2002

Gated direct sequence spread spectrum clocking scheme for multimedia systems.

Thanh T. Tran, Richard Liu

Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

2000

Results on worst-case performance assessment.

Andrew K. Packard, Gary J. Balas, Richard Liu, Jong-Yeob Shin

Proceedings of the American Control Conference, 2000