Results on worst-case performance assessment. - Andrew K. Packard; Gary J. Balas; Richard Liu; Jong-Yeob Shin (ACC, 2000)

Gated direct sequence spread spectrum clocking scheme for multimedia systems. - Thanh T. Tran; Richard Liu (ISCAS (1), 2002)

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)

A Micro Ultra Low Power RF Radio for Neural Signal Recording. - Rui Zhong; Richard Liu; Haleh Fotowat; Fabrizio Gabbiani (BIODEVICES (1), 2008)

Automatic Skid Number Evaluation Using Texture Laser Measurement. - Jiabin Xie; Richard Liu; Brian Michalk (ICNSC, 2008)

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 (CloudDP@EuroSys, 2013)

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)

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)

Text2Mesh: Text-Driven Neural Stylization for Meshes. - Oscar Michel; Roi Bar-On; Richard Liu; Sagie Benaim; Rana Hanocka (CVPR, 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)

DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization. - Richard Liu; Noam Aigerman; Vladimir G. Kim; Rana Hanocka (CVPR, 2023)

HyperFields: Towards Zero-Shot Generation of NeRFs from Text. - Sudarshan Babu; Richard Liu; Avery Zhou; Michael Maire; Greg Shakhnarovich; Rana Hanocka (ICML, 2024)

TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis. - Zihan Zhang; Richard Liu; Rana Hanocka; Kfir Aberman (SIGGRAPH (Conference Paper Track), 2024)

Towards Multimodal Interaction with AI-Infused Shape-Changing Interfaces. - Chenfeng Gao; Wanli Qian; Richard Liu; Rana Hanocka; Ken Nakagaki (UIST (Adjunct Volume), 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)

General targeted machine learning for modern causal mediation analysis. - Richard Liu; Nicholas T. Williams; Kara E. Rudolph; Iván Díaz (CoRR, 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)

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, 2024)

WIR3D: Visually-Informed and Geometry-Aware 3D Shape Abstraction. - Richard Liu; Daniel Fu; Noah Tan; Itai Lang; Rana Hanocka (CoRR, 2025)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)