Reconfigurable inverse transform architecture for multiple purpose video coding. - Tsung-Yuan Huang; He-Yuan Lin; Chun-Fu Chen 001; Gwo Giun Lee (ISCAS, 2011)

Architecture of high-throughput context adaptive variable length coding decoder in AVC/H.264. - Gwo Giun Lee; Shu-Ming Xu; Chun-Fu Chen 001; Ching-Jui Hsiao (APSIPA, 2012)

Gabor feature extraction for electrocardiogram signals. - Gwo Giun Lee; Jhen-Yue Hu; Chun-Fu Chen 001; Huan-Hsiang Lin (BioCAS, 2012)

Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. - Huan-Hsiang Lin; Ming-Rung Tsai; Chun-Fu Chen 001; Szu-Yu Chen; Yi-Hua Liao; Gwo Giun Lee; Chi-Kuang Sun (ISCAS, 2012)

Variable Block Size Motion Estimator Design for Scan Rate Up-convertor. - Chun-Fu Chen 001; Gwo Giun Chris Lee; Jui-Che Wu; Ching-Jui Hsiao; Jun-Yuan Ke (SiPS, 2012)

Quantifying Intrinsic Parallelism Using Linear Algebra for Algorithm/Architecture Coexploration. - Gwo Giun Lee; He-Yuan Lin; Chun-Fu Chen 001; Tsung-Yuan Huang (IEEE Trans. Parallel Distributed Syst., 2012)

Depth map enhancement based on Z-displacement of objects. - Gwo Giun Chris Lee; Ciao-Siang Siao; Chunhui Cui; Chun-Fu Chen 001; Yan Huo; Huan-Hsiang Lin (ISCAS, 2013)

Algorithmic complexity analysis on data transfer rate and data storage for multidimensional signal processing. - Gwo Giun Lee; Chun-Fu Chen 001; He-Yuan Lin (SiPS, 2013)

Motion-based depth estimation for 2D-to-3D video conversion. - Ming-Jiun Wang; Chun-Fu Chen 001; Gwo Giun Lee (VCIP, 2013)

Automatic Cell Segmentation and Nuclear-to-Cytoplasmic Ratio Analysis for Third Harmonic Generated Microscopy Medical Images. - Gwo Giun Lee; Huan-Hsiang Lin; Ming-Rung Tsai; Sin-Yo Chou; Wen-Jeng Lee; Yi-Hua Liao; Chi-Kuang Sun; Chun-Fu Chen 001 (IEEE Trans. Biomed. Circuits Syst., 2013)

Design of view synthesis prediction in 3D-HEVC via algorithmic complexity analysis. - Gwo Giun Chris Lee; Bo-Syun Li; Chun-Fu Chen 001 (ACSSC, 2014)

Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. - Cheng-Syun Cai; Chun-Fu Chen 001; Gwo Giun Lee; Guan-Liang Lin; Sin-Yo Chou; Ming-Rung Tsai; Yi-Hua Liao; Chi-Kuang Sun (ChinaSIP, 2014)

Mapping visual signal processing onto multi-core platform via algorithm/architecture co-exploration. - Chun-Fu Chen 001; Gwo Giun Chris Lee; Zheng-Han Yu; Chun-Hsi Huang (SiPS, 2014)

Content-adaptive depth map enhancement based on motion distribution. - Gwo Giun Chris Lee; Bo-Syun Li; Chun-Fu Chen 001 (VCIP, 2014)

Bi-Directional Trajectory Tracking With Variable Block-Size Motion Estimation for Frame Rate Up-Convertor. - Gwo Giun Lee; Chun-Fu Chen 001; Ching-Jui Hsiao; Jui-Che Wu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2014)

Reconfigurable filter bank design via principal component analysis and low rank approximation. - Chun-Hsi Huang; Gwo Giun Chris Lee; Chun-Fu (Richard) Chen; Yinglong Xia; Ching-Yung Lin (GlobalSIP, 2015)

IBM system G Social Media Solution: Analyze multimedia content, people, and network dynamics in context. - Ching-Yung Lin; Danny L. Yeh; Nan Cao 001; Jui-Hsin Lai; Chun-Fu (Richard) Chen; Conglei Shi; Jie Lu 002; Jason Crawford; Keith Houck; Yinglong Xia; Wan-Yi Sabrina Lin; Richard B. Hull; et al. (ICME Workshops, 2015)

Implementation of Gabor feature extraction algorithm for electrocardiogram on FPGA. - Gwo Giun Chris Lee; Zuo-Jheng Huang; Chih-Yuan Chen; Chun-Fu Chen 001 (ISCAS, 2015)

Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. - Chun-Fu (Richard) Chen; Gwo Giun Chris Lee; Yinglong Xia; W. Sabrina Lin; Toyotaro Suzumura; Ching-Yung Lin (ISM, 2015)

Multi-modality Mobile Image Recognition Based on Thermal and Visual Cameras. - Jui-Hsin Larry Lai; Chung-Ching Lin; Chun-Fu (Richard) Chen; Ching-Yung Lin (ISM, 2015)

3-D Video Generation from Monocular Video Based on Hierarchical Video Segmentation. - Gwo Giun Chris Lee; Chun-Fu Chen 001; He-Yuan Lin; Ming-Jiun Wang (J. Signal Process. Syst., 2015)

Efficient nuclei segmentation based on spectral graph partitioning. - Gwo Giun Chris Lee; Shi-Yu Hung; Tai-Ping Wang; Chun-Fu (Richard) Chen; Chi-Kuang Sun; Yi-Hua Liao (ISCAS, 2016)

Deep Convolutional Neural Network on iOS Mobile Devices. - Chun-Fu Chen 001; Gwo Giun Lee; Vincent Sritapan; Ching-Yung Lin (SiPS, 2016)

High-Throughput Reconfigurable Variable Length Coding Decoder for MPEG-2 and AVC/H.264. - Gwo Giun Chris Lee; Chun-Fu Chen 001; Shu-Ming Xu; Ching-Jui Hsiao (J. Signal Process. Syst., 2016)

Reconfigurable Interpolation Architecture for Multistandard Video Decoding. - Gwo Giun Lee; Tzu-Chiang Tai; Wei-Chiao Yang; Chun-Fu Chen 001; Chun-Hsi Huang (J. Signal Process. Syst., 2016)

UI X-Ray: Interactive Mobile UI Testing Based on Computer Vision. - Chun-Fu (Richard) Chen; Marco Pistoia; Conglei Shi; Paolo Girolami; Joseph W. Ligman; Yong Wang 021 (IUI, 2017)

Reconfigurable Parser Architecture Design with Microprogrammed Controller for Multiple Purposes. - Gwo Giun Chris Lee; Chun-Fu (Richard) Chen; Ching-Jui Hsiao (J. Signal Process. Syst., 2017)

Complexity-Aware Gabor Filter Bank Architecture Using Principal Component Analysis. - Gwo Giun Chris Lee; Chun-Hsi Huang; Chun-Fu (Richard) Chen; Tai-Ping Wang (J. Signal Process. Syst., 2017)

NISP: Pruning Networks Using Neuron Importance Score Propagation. - Ruichi Yu; Ang Li 001; Chun-Fu Chen 001; Jui-Hsin Lai; Vlad I. Morariu; Xintong Han; Mingfei Gao; Ching-Yung Lin; Larry S. Davis (CVPR, 2018)

Automatically solving NP-complete problems on a quantum computer. - Shaohan Hu; Peng Liu 010; Chun-Fu (Richard) Chen; Marco Pistoia (ICSE (Companion Volume), 2018)

SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs. - Chun-Fu Chen 001; Jinwook Oh; Quanfu Fan; Marco Pistoia (ISM, 2018)

System G Distributed Graph Database. - Gabriel Tanase; Toyotaro Suzumura; Jinho Lee; Chun-Fu Chen 001; Jason Crawford; Hiroki Kanezashi; Song Zhang; Warut D. Vijitbenjaronk (CoRR, 2018)

Efficient Fusion of Sparse and Complementary Convolutions for Object Recognition and Detection. - Chun-Fu Chen 001; Quanfu Fan; Marco Pistoia; Gwo Giun Lee (CoRR, 2018)

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. - Chun-Fu (Richard) Chen; Quanfu Fan; Neil Mallinar; Tom Sercu; Rogério Schmidt Feris (ICLR (Poster), 2019)

More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. - Quanfu Fan; Chun-Fu (Richard) Chen; Hilde Kuehne; Marco Pistoia; David D. Cox (NeurIPS, 2019)

Reduction-Based Problem Mapping for Quantum Computing. - Shaohan Hu; Peng Liu 010; Chun-Fu (Richard) Chen; Marco Pistoia; Jay M. Gambetta (Computer, 2019)

Stochastic Optimization of Quantum Programs. - Peng Liu 010; Shaohan Hu; Marco Pistoia; Chun-Fu (Richard) Chen; Jay M. Gambetta (Computer, 2019)

A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space. - Arthur G. Rattew; Shaohan Hu; Marco Pistoia; Chun-Fu (Richard) Chen; Steve Wood (CoRR, 2019)

Parallelization of Classical Numerical optimization in Quantum Variational Algorithms. - Marco Pistoia; Peng Liu 010; Chun-Fu (Richard) Chen; Shaohan Hu; Stephen P. Wood (ICST, 2020)

Large Scale Neural Architecture Search with Polyharmonic Splines. - Ulrich Finkler; Michele Merler; Rameswar Panda; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Chun-Fu Chen 001; Minsik Cho; David S. Kung 001; Rogério Feris; Bishwaranjan Bhattacharjee (CoRR, 2020)

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. - Rameswar Panda; Michele Merler; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Ulrich Finkler; Chun-Fu (Richard) Chen; Minsik Cho; Rogério Feris; David S. Kung 001; Bishwaranjan Bhattacharjee (AAAI, 2021)

Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. - Chun-Fu (Richard) Chen; Rameswar Panda; Kandan Ramakrishnan; Rogério Feris; John Cohn; Aude Oliva; Quanfu Fan (CVPR, 2021)

Detector-Free Weakly Supervised Grounding by Separation. - Assaf Arbelle; Sivan Doveh; Amit Alfassy; Joseph Shtok; Guy Lev; Eli Schwartz; Hilde Kuehne; Hila Barak Levi; Prasanna Sattigeri; Rameswar Panda; Chun-Fu Chen 001; Alex M. Bronstein; et al. (ICCV, 2021)

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. - Chun-Fu (Richard) Chen; Quanfu Fan; Rameswar Panda (ICCV, 2021)

A Broad Study on the Transferability of Visual Representations with Contrastive Learning. - Ashraful Islam; Chun-Fu Chen 001; Rameswar Panda; Leonid Karlinsky; Richard J. Radke; Rogério Feris (ICCV, 2021)

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. - Rameswar Panda; Chun-Fu (Richard) Chen; Quanfu Fan; Ximeng Sun; Kate Saenko; Aude Oliva; Rogério Feris (ICCV, 2021)

Dynamic Network Quantization for Efficient Video Inference. - Ximeng Sun; Rameswar Panda; Chun-Fu (Richard) Chen; Aude Oliva; Rogério Feris; Kate Saenko (ICCV, 2021)

Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. - Ashraful Islam; Chun-Fu (Richard) Chen; Rameswar Panda; Leonid Karlinsky; Rogério Feris; Richard J. Radke (NeurIPS, 2021)

All at Once Network Quantization via Collaborative Knowledge Transfer. - Ximeng Sun; Rameswar Panda; Chun-Fu Chen 001; Naigang Wang; Bowen Pan; Kailash Gopalakrishnan; Aude Oliva; Rogério Feris; Kate Saenko (CoRR, 2021)

An Image Classifier Can Suffice For Video Understanding. - Quanfu Fan; Chun-Fu Chen 001; Rameswar Panda (CoRR, 2021)

VALHALLA: Visual Hallucination for Machine Translation. - Yi Li 051; Rameswar Panda; Yoon Kim; Chun-Fu Richard Chen; Rogério Feris; David D. Cox; Nuno Vasconcelos (CVPR, 2022)

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. - Samarth Mishra; Rameswar Panda; Cheng Perng Phoo; Chun-Fu Richard Chen; Leonid Karlinsky; Kate Saenko; Venkatesh Saligrama; Rogério Schmidt Feris (CVPR, 2022)

Utility-Preserving Biometric Information Anonymization. - Bill Moriarty; Chun-Fu (Richard) Chen; Shaohan Hu; Sean J. Moran; Marco Pistoia; Vincenzo Piuri; Pierangela Samarati (ESORICS (2), 2022)

RegionViT: Regional-to-Local Attention for Vision Transformers. - Chun-Fu Chen 001; Rameswar Panda; Quanfu Fan (ICLR, 2022)

Can an Image Classifier Suffice For Action Recognition? - Quanfu Fan; Chun-Fu Chen 001; Rameswar Panda (ICLR, 2022)

Procedural Image Programs for Representation Learning. - Manel Baradad; Chun-Fu Richard Chen; Jonas Wulff; Tongzhou Wang 001; Rogério Feris; Antonio Torralba 001; Phillip Isola (NeurIPS, 2022)

Temporal Relevance Analysis for Video Action Models. - Quanfu Fan; Donghyun Kim 006; Chun-Fu Chen 001; Stan Sclaroff; Kate Saenko; Sarah Adel Bargal (CoRR, 2022)

MaSS: Multi-attribute Selective Suppression. - Chun-Fu Chen 001; Shaohan Hu; Zhonghao Shi; Prateek Gulati; Bill Moriarty; Marco Pistoia; Vincenzo Piuri; Pierangela Samarati (CoRR, 2022)

Quantum Deep Hedging. - El Amine Cherrat; Snehal Raj; Iordanis Kerenidis; Abhishek Shekhar; Ben Wood; Jon Dee; Shouvanik Chakrabarti; Chun-Fu Richard Chen; Dylan Herman; Shaohan Hu; Pierre Minssen; Ruslan Shaydulin; et al. (Quantum, 2023)

Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. - Guihong Li; Hsiang Hsu; Chun-Fu Richard Chen; Radu Marculescu (CVPR Workshops, 2024)

Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. - Hsiang Hsu; Guihong Li; Shaohan Hu; Chun-Fu Chen 001 (ICLR, 2024)

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. - Wei-Cheng Huang; Chun-Fu Richard Chen; Hsiang Hsu (ICLR, 2024)

Machine Unlearning for Image-to-Image Generative Models. - Guihong Li; Hsiang Hsu; Chun-Fu Chen 001; Radu Marculescu (ICLR, 2024)

MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. - Yizhuo Chen; Chun-Fu Chen 001; Hsiang Hsu; Shaohan Hu; Marco Pistoia; Tarek F. Abdelzaher (ICML, 2024)

DynaSpa: Exploiting Spatial Sparsity for Efficient Dynamic DNN Inference on Devices. - Renyuan Liu; Yuyang Leng; Shilei Tian; Shaohan Hu; Chun-Fu (Richard) Chen; Shuochao Yao (SenSys, 2024)

Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. - Ximeng Sun; Rameswar Panda; Chun-Fu Richard Chen; Naigang Wang; Bowen Pan; Aude Oliva; Rogério Feris; Kate Saenko (WACV, 2024)

LLM Hallucination Reasoning with Zero-shot Knowledge Test. - Seongmin Lee 007; Hsiang Hsu; Chun-Fu Chen 001 (CoRR, 2024)

Model-Agnostic Utility-Preserving Biometric Information Anonymization. - Chun-Fu Chen 001; Bill Moriarty; Shaohan Hu; Sean J. Moran; Marco Pistoia; Vincenzo Piuri; Pierangela Samarati (Int. J. Inf. Sec., 2024)

PaLD: Detection of Text Partially Written by Large Language Models. - Eric Lei; Hsiang Hsu; Chun-Fu Chen 001 (ICLR, 2025)

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks. - Georgios Papadopoulos 007; Shaltiel Eloul; Yash Satsangi; Jamie Heredge; Niraj Kumar 005; Chun-Fu Chen 001; Marco Pistoia (CoRR, 2025)

PASS: Private Attributes Protection with Stochastic Data Substitution. - Yizhuo Chen; Chun-Fu Chen 001; Hsiang Hsu; Shaohan Hu; Tarek F. Abdelzaher (CoRR, 2025)

DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training. - Renyuan Liu; Yuyang Leng; Kaiyan Liu; Shaohan Hu; Chun-Fu Chen 001; Peijun Zhao; Heechul Yun; Shuochao Yao (CoRR, 2025)