Jen-Hao Rick Chang

43 papers A* 10A 3Misc 5Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
LiTo: Surface Light Field Tokenization.
CoRR
Jen-Hao Rick Chang, Xiaoming Zhao, Dorian Chan, Oncel Tuzel
2026 J jnl
RayRoPE: Projective Ray Positional Encoding for Multi-view Attention.
CoRR
Yu Wu, Minsik Jeon, Jen-Hao Rick Chang, Oncel Tuzel, Shubham Tulsiani
2025 — conf
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization.
NAACL (Findings)
Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization.
CoRR
Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2024 J jnl
3D Shape Tokenization.
CoRR
Jen-Hao Rick Chang, Yuyang Wang, Miguel Ángel Bautista, Jiatao Gu, Joshua M. Susskind, Oncel Tuzel
2024 Misc conf
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models.
ICASSP
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2024 A* conf
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum.
NeurIPS
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
2024 J jnl
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum.
CoRR
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
2024 A* conf
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day.
ICLR
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
2024 A* conf
HUGS: Human Gaussian Splats.
CVPR
Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan
2024 A conf
Novel-view Acoustic Synthesis From 3D Reconstructed Rooms.
INTERSPEECH
Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang
2024 A* conf
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications.
CVPR
Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
2023 J jnl
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models.
CoRR
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2023 J jnl
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day.
CoRR
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
2023 A* conf
FaceLit: Neural 3D Relightable Faces.
CVPR
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
2023 J jnl
FaceLit: Neural 3D Relightable Faces.
CoRR
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
2023 J jnl
HUGS: Human Gaussian Splats.
CoRR
Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan
2023 J jnl
Novel-View Acoustic Synthesis from 3D Reconstructed Rooms.
CoRR
Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang
2023 A* conf
Pointersect: Neural Rendering with Cloud-Ray Intersection.
CVPR
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
2023 J jnl
Pointersect: Neural Rendering with Cloud-Ray Intersection.
CoRR
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
2023 J jnl
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications.
CoRR
Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
2023 J jnl
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis.
CoRR
Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
2023 Misc conf
Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis.
ICASSP
Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
2023 A conf
Token Pooling in Vision Transformers for Image Classification.
WACV
Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
2022 Misc conf
Data Incubation - Synthesizing Missing Data for Handwriting Recognition.
ICASSP
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel
2022 Misc conf
SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition.
ICASSP
Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2022 A* conf
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models.
ICML
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel
2021 J jnl
Data Incubation - Synthesizing Missing Data for Handwriting Recognition.
CoRR
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel
2021 — conf
Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling.
EUSIPCO
Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel
2021 Misc conf
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation.
ICASSP
Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2021 A conf
SliceNets - A Scalable Approach for Object Detection in 3D CT Scans.
WACV
Anqi Yang, Feng Pan, Vishwanath Saragadam, Duy Dao, Zhuo Hui, Jen-Hao Rick Chang, Aswin C. Sankaranarayanan
2021 J jnl
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models.
CoRR
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel
2021 J jnl
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition.
CoRR
Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2021 J jnl
Token Pooling in Vision Transformers.
CoRR
Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
2020 J jnl
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation.
CoRR
Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2020 J jnl
Towards Occlusion-Aware Multifocal Displays.
CoRR
Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
2020 J jnl
Towards occlusion-aware multifocal displays.
ACM Trans. Graph.
Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
2018 J jnl
Towards Multifocal Displays with Dense Focal Stacks.
CoRR
Jen-Hao Rick Chang, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
2018 J jnl
Towards multifocal displays with dense focal stacks.
ACM Trans. Graph.
Jen-Hao Rick Chang, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
2017 A* conf
One Network to Solve Them All - Solving Linear Inverse Problems Using Deep Projection Models.
ICCV
Jen-Hao Rick Chang, Chun-Liang Li, Barnabás Póczos, B. V. K. Vijaya Kumar
2017 J jnl
One Network to Solve Them All - Solving Linear Inverse Problems using Deep Projection Models.
CoRR
Jen-Hao Rick Chang, Chun-Liang Li, Barnabás Póczos, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
2016 A* conf
Random Features for Sparse Signal Classification.
CVPR
Jen-Hao Rick Chang, Aswin C. Sankaranarayanan, B. V. K. Vijaya Kumar
2015 A* conf
Propagated image filtering.
CVPR
Jen-Hao Rick Chang, Yu-Chiang Frank Wang