Propagated image filtering. - Jen-Hao Rick Chang; Yu-Chiang Frank Wang (CVPR, 2015)

Random Features for Sparse Signal Classification. - Jen-Hao Rick Chang; Aswin C. Sankaranarayanan; B. V. K. Vijaya Kumar (CVPR, 2016)

One Network to Solve Them All - Solving Linear Inverse Problems Using Deep Projection Models. - Jen-Hao Rick Chang; Chun-Liang Li; Barnabás Póczos; B. V. K. Vijaya Kumar (ICCV, 2017)

One Network to Solve Them All - Solving Linear Inverse Problems using Deep Projection Models. - Jen-Hao Rick Chang; Chun-Liang Li; Barnabás Póczos; B. V. K. Vijaya Kumar; Aswin C. Sankaranarayanan (CoRR, 2017)

Towards multifocal displays with dense focal stacks. - Jen-Hao Rick Chang; B. V. K. Vijaya Kumar; Aswin C. Sankaranarayanan (ACM Trans. Graph., 2018)

Towards occlusion-aware multifocal displays. - Jen-Hao Rick Chang; Anat Levin; B. V. K. Vijaya Kumar; Aswin C. Sankaranarayanan (ACM Trans. Graph., 2020)

Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. - Akash Mehra; Jerome R. Bellegarda; Ojas Bapat; Hema Koppula; Jen-Hao Rick Chang; Ashish Shrivastava 001; Oncel Tuzel (EUSIPCO, 2021)

SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. - Ting-Yao Hu; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Stefan Braun; Kyuyeon Hwang; Ozlem Kalinli; Oncel Tuzel (ICASSP, 2021)

SliceNets - A Scalable Approach for Object Detection in 3D CT Scans. - Anqi Yang; Feng Pan; Vishwanath Saragadam; Duy Dao; Zhuo Hui; Jen-Hao Rick Chang; Aswin C. Sankaranarayanan (WACV, 2021)

Token Pooling in Vision Transformers. - Dmitrii Marin; Jen-Hao Rick Chang; Anurag Ranjan; Anish Prabhu; Mohammad Rastegari; Oncel Tuzel (CoRR, 2021)

Data Incubation - Synthesizing Missing Data for Handwriting Recognition. - Jen-Hao Rick Chang; Martin Bresler; Youssouf Chherawala; Adrien Delaye; Thomas Deselaers; Ryan S. Dixon; Oncel Tuzel (ICASSP, 2022)

SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. - Ting-Yao Hu; Mohammadreza Armandpour; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Oncel Tuzel (ICASSP, 2022)

Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. - Jen-Hao Rick Chang; Ashish Shrivastava 001; Hema Koppula; Xiaoshuai Zhang; Oncel Tuzel (ICML, 2022)

Pointersect: Neural Rendering with Cloud-Ray Intersection. - Jen-Hao Rick Chang; Wei-Yu Chen; Anurag Ranjan; Kwang Moo Yi; Oncel Tuzel (CVPR, 2023)

FaceLit: Neural 3D Relightable Faces. - Anurag Ranjan; Kwang Moo Yi; Jen-Hao Rick Chang; Oncel Tuzel (CVPR, 2023)

Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. - Karren D. Yang; Ting-Yao Hu; Jen-Hao Rick Chang; Hema Swetha Koppula; Oncel Tuzel (ICASSP, 2023)

Token Pooling in Vision Transformers for Image Classification. - Dmitrii Marin; Jen-Hao Rick Chang; Anurag Ranjan; Anish Prabhu; Mohammad Rastegari; Oncel Tuzel (WACV, 2023)

HUGS: Human Gaussian Splats. - Muhammed Kocabas; Jen-Hao Rick Chang; James Gabriel; Oncel Tuzel; Anurag Ranjan (CVPR, 2024)

Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. - Karren D. Yang; Anurag Ranjan; Jen-Hao Rick Chang; Raviteja Vemulapalli; Oncel Tuzel (CVPR, 2024)

Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. - Hsuan Su; Ting-Yao Hu; Hema Swetha Koppula; Raviteja Vemulapalli; Jen-Hao Rick Chang; Karren D. Yang; Gautam Varma Mantena; Oncel Tuzel (ICASSP, 2024)

Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. - Yifan Jiang 001; Hao Tang 001; Jen-Hao Rick Chang; Liangchen Song; Zhangyang Wang; Liangliang Cao (ICLR, 2024)

Novel-view Acoustic Synthesis From 3D Reconstructed Rooms. - Byeongjoo Ahn; Karren D. Yang; Brian Hamilton; Jonathan Sheaffer; Anurag Ranjan; Miguel Sarabia; Oncel Tuzel; Jen-Hao Rick Chang (INTERSPEECH, 2024)

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. - Hadi Pouransari; Chun-Liang Li; Jen-Hao Rick Chang; Pavan Kumar Anasosalu Vasu; Cem Koc; Vaishaal Shankar; Oncel Tuzel (NeurIPS, 2024)

3D Shape Tokenization. - Jen-Hao Rick Chang; Yuyang Wang; Miguel Ángel Bautista 001; Jiatao Gu; Joshua M. Susskind; Oncel Tuzel (CoRR, 2024)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. - Yen-Ju Lu; Ting-Yao Hu; Hema Swetha Koppula; Hadi Pouransari; Jen-Hao Rick Chang; Yin Xia; Xiang Kong; Qi Zhu 011; Simon Wang; Oncel Tuzel; Raviteja Vemulapalli (NAACL (Findings), 2025)