Huck Yang

I am a Sr. Research Scientist at NV Research. 

I obtained my Ph.D. and M.Sc. from Georgia Institute of Technology, USA with Wallace H. Coulter fellowship and my B.Sc. from National Taiwan University. 

My primary research lies in the area of Multilingual Model Alignments and Speech-Language Modeling. Specifically:

Dale Durran

Durran has a 25% appointment as a Principal Research Scientist in Climate Modeling at NVIDIA and a 60% appointment as a Professor of Atmospheric Sciences at the University of Washington.  At NVIDIA his research focus in on deep learning earth-system modeling for sub-seasonal and seasonal forecasting, forecast ensembles, and generative methods for  fine-scale modeling of convective precipitation and other mesoscale fields.

Yifan Ding

Constant Field of View Display Size Effects on First-Person Aiming Time

Under constant display field of view, FPS game aiming performance improves with display size, resulting in 3% faster aiming time comparing 13 and 26 inches diagonal.

Parsimony: Enabling SIMD/Vector Programming in Standard Compiler Flows

Achieving peak throughput on modern CPUs requires maximizing the use of single-instruction, multiple-data (SIMD) or vector compute units. Single-program, multiple-data (SPMD) programming models are an effective way to use high-level programming languages to target these ISAs. Unfortunately, many SPMD frameworks have evolved to have either overly restrictive language specifications or under-specified programming models, and this has slowed the widescale adoption of SPMD-style programming.

Tianye Li

Tianye Li joined NVIDIA Research as a Research Scientist in 2023. His research interest is in computer vision and computer graphics, especially in capturing, modeling, understanding dynamic humans. He is also interested in 3D/4D reconstruction and photorealistic rendering of generic scenes and objects. He obtained his Ph.D. in Computer Science from University of Southern California (USC), where he was advised by Prof. Hao Li and Prof. Randall Hill, Jr. He was a research scientist at Epic Games, and interned at MPI for Intelligent Systems, Snap Research, and Facebook/Meta Reality Labs.

Maximilian Igl

Wen-Hao Liu

Wen-Hao Liu, received his Ph.D. degree in Computer Science from National Chiao Tung University, Taiwan in 2013. His research interests include routing, placement, clock synthesis, logic synthesis, and 3D-IC in electronic design automation (EDA) field. Wen-Hao has published more than 40 papers and 15 patents in this field, and he has served on the technical program committee of DAC, ICCAD, ISPD, and ASPDAC. Currently, Wen-Hao works at Nvidia Research as a Principal Research Scientist to explore the solutions for advanced VLSI-related challenges.

Juan Gomez Luna

Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes

In this work, we propose a fully differentiable iterative decoder for quantum low-density parity-check (LDPC) codes. The proposed algorithm is composed of classical belief propagation (BP) decoding stages and intermediate graph neural network (GNN) layers. Both component decoders are defined over the same sparse decoding graph enabling a seamless integration and scalability to large codes.

Subscribe to