Chun-Fu Chen - RankMe

65 papers A* 10C 7Misc 1Journal 40Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Best-of-Tails: Bridging Optimism and Pessimism in Inference-Time Alignment. CoRR Hsiang Hsu, Eric Lei, Chun-Fu Chen
2026	J	`jnl`	Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation. CoRR Arjun Nichani, Hsiang Hsu, Chun-Fu Chen, Haewon Jeong
2026	J	`jnl`	The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples. CoRR Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lécué, Chun-Fu Chen
2025	J	`jnl`	A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks. CoRR Georgios Papadopoulos, Shaltiel Eloul, Yash Satsangi, Jamie Heredge, Niraj Kumar, Chun-Fu Chen, Marco Pistoia
2025	J	`jnl`	DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training. CoRR Renyuan Liu, Yuyang Leng, Kaiyan Liu, Shaohan Hu, Chun-Fu Chen, Peijun Zhao, Heechul Yun, Shuochao Yao
2025	A*	`conf`	PASS: Private Attributes Protection with Stochastic Data Substitution. ICML Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher
2025	J	`jnl`	PASS: Private Attributes Protection with Stochastic Data Substitution. CoRR Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher
2025	A*	`conf`	PaLD: Detection of Text Partially Written by Large Language Models. ICLR Eric Lei, Hsiang Hsu, Chun-Fu Chen
2024	A*	`conf`	Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. ICLR Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
2024	J	`jnl`	Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. CoRR Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
2024	J	`jnl`	LLM Hallucination Reasoning with Zero-shot Knowledge Test. CoRR Seongmin Lee, Hsiang Hsu, Chun-Fu Chen
2024	A*	`conf`	MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. ICML Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher
2024	A*	`conf`	Machine Unlearning for Image-to-Image Generative Models. ICLR Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
2024	J	`jnl`	Machine Unlearning for Image-to-Image Generative Models. CoRR Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
2024	J	`jnl`	Model-Agnostic Utility-Preserving Biometric Information Anonymization. Int. J. Inf. Sec. Chun-Fu Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati
2024	J	`jnl`	OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. CoRR Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu
2023	J	`jnl`	Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
2022	A*	`conf`	Can an Image Classifier Suffice For Action Recognition? ICLR Quanfu Fan, Chun-Fu Chen, Rameswar Panda
2022	J	`jnl`	MaSS: Multi-attribute Selective Suppression. CoRR Chun-Fu Chen, Shaohan Hu, Zhonghao Shi, Prateek Gulati, Bill Moriarty, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati
2022	J	`jnl`	Procedural Image Programs for Representation Learning. CoRR Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022	A*	`conf`	RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR Chun-Fu Chen, Rameswar Panda, Quanfu Fan
2022	J	`jnl`	Temporal Relevance Analysis for Video Action Models. CoRR Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
2022	J	`jnl`	VALHALLA: Visual Hallucination for Machine Translation. CoRR Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
2021	A*	`conf`	A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
2021	J	`jnl`	A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
2021	J	`jnl`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	An Image Classifier Can Suffice For Video Understanding. CoRR Quanfu Fan, Chun-Fu Chen, Rameswar Panda
2021	J	`jnl`	CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. CoRR Chun-Fu Chen, Quanfu Fan, Rameswar Panda
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
2021	J	`jnl`	Dynamic Network Quantization for Efficient Video Inference. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	RegionViT: Regional-to-Local Attention for Vision Transformers. CoRR Chun-Fu Chen, Rameswar Panda, Quanfu Fan
2021	J	`jnl`	Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2020	J	`jnl`	Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2020	J	`jnl`	Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020	J	`jnl`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2019	J	`jnl`	More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. CoRR Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox
2018	J	`jnl`	Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris
2018	J	`jnl`	Efficient Fusion of Sparse and Complementary Convolutions for Object Recognition and Detection. CoRR Chun-Fu Chen, Quanfu Fan, Marco Pistoia, Gwo Giun Lee
2018	A*	`conf`	NISP: Pruning Networks Using Neuron Importance Score Propagation. CVPR Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis
2018	C	`conf`	SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs. ISM Chun-Fu Chen, Jinwook Oh, Quanfu Fan, Marco Pistoia
2018	J	`jnl`	System G Distributed Graph Database. CoRR Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk
2017	J	`jnl`	NISP: Pruning Networks using Neuron Importance Score Propagation. CoRR Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis
2016	—	`conf`	Deep Convolutional Neural Network on iOS Mobile Devices. SiPS Chun-Fu Chen, Gwo Giun Lee, Vincent Sritapan, Ching-Yung Lin
2016	J	`jnl`	High-Throughput Reconfigurable Variable Length Coding Decoder for MPEG-2 and AVC/H.264. J. Signal Process. Syst. Gwo Giun Chris Lee, Chun-Fu Chen, Shu-Ming Xu, Ching-Jui Hsiao
2016	J	`jnl`	Reconfigurable Interpolation Architecture for Multistandard Video Decoding. J. Signal Process. Syst. Gwo Giun Lee, Tzu-Chiang Tai, Wei-Chiao Yang, Chun-Fu Chen, Chun-Hsi Huang
2015	J	`jnl`	3-D Video Generation from Monocular Video Based on Hierarchical Video Segmentation. J. Signal Process. Syst. Gwo Giun Chris Lee, Chun-Fu Chen, He-Yuan Lin, Ming-Jiun Wang
2015	C	`conf`	Implementation of Gabor feature extraction algorithm for electrocardiogram on FPGA. ISCAS Gwo Giun Chris Lee, Zuo-Jheng Huang, Chih-Yuan Chen, Chun-Fu Chen
2014	J	`jnl`	Bi-Directional Trajectory Tracking With Variable Block-Size Motion Estimation for Frame Rate Up-Convertor. IEEE J. Emerg. Sel. Topics Circuits Syst. Gwo Giun Lee, Chun-Fu Chen, Ching-Jui Hsiao, Jui-Che Wu
2014	C	`conf`	Content-adaptive depth map enhancement based on motion distribution. VCIP Gwo Giun Chris Lee, Bo-Syun Li, Chun-Fu Chen
2014	—	`conf`	Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. ChinaSIP Cheng-Syun Cai, Chun-Fu Chen, Gwo Giun Lee, Guan-Liang Lin, Sin-Yo Chou, Ming-Rung Tsai, Yi-Hua Liao, Chi-Kuang Sun
2014	Misc	`conf`	Design of view synthesis prediction in 3D-HEVC via algorithmic complexity analysis. ACSSC Gwo Giun Chris Lee, Bo-Syun Li, Chun-Fu Chen
2014	—	`conf`	Mapping visual signal processing onto multi-core platform via algorithm/architecture co-exploration. SiPS Chun-Fu Chen, Gwo Giun Chris Lee, Zheng-Han Yu, Chun-Hsi Huang
2013	—	`conf`	Algorithmic complexity analysis on data transfer rate and data storage for multidimensional signal processing. SiPS Gwo Giun Lee, Chun-Fu Chen, He-Yuan Lin
2013	J	`jnl`	Automatic Cell Segmentation and Nuclear-to-Cytoplasmic Ratio Analysis for Third Harmonic Generated Microscopy Medical Images. IEEE Trans. Biomed. Circuits Syst. Gwo Giun Lee, Huan-Hsiang Lin, Ming-Rung Tsai, Sin-Yo Chou, Wen-Jeng Lee, Yi-Hua Liao, Chi-Kuang Sun, Chun-Fu Chen
2013	C	`conf`	Depth map enhancement based on Z-displacement of objects. ISCAS Gwo Giun Chris Lee, Ciao-Siang Siao, Chunhui Cui, Chun-Fu Chen, Yan Huo, Huan-Hsiang Lin
2013	C	`conf`	Motion-based depth estimation for 2D-to-3D video conversion. VCIP Ming-Jiun Wang, Chun-Fu Chen, Gwo Giun Lee
2012	—	`conf`	Architecture of high-throughput context adaptive variable length coding decoder in AVC/H.264. APSIPA Gwo Giun Lee, Shu-Ming Xu, Chun-Fu Chen, Ching-Jui Hsiao
2012	C	`conf`	Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. ISCAS Huan-Hsiang Lin, Ming-Rung Tsai, Chun-Fu Chen, Szu-Yu Chen, Yi-Hua Liao, Gwo Giun Lee, Chi-Kuang Sun
2012	—	`conf`	Gabor feature extraction for electrocardiogram signals. BioCAS Gwo Giun Lee, Jhen-Yue Hu, Chun-Fu Chen, Huan-Hsiang Lin
2012	J	`jnl`	Quantifying Intrinsic Parallelism Using Linear Algebra for Algorithm/Architecture Coexploration. IEEE Trans. Parallel Distributed Syst. Gwo Giun Lee, He-Yuan Lin, Chun-Fu Chen, Tsung-Yuan Huang
2012	—	`conf`	Variable Block Size Motion Estimator Design for Scan Rate Up-convertor. SiPS Chun-Fu Chen, Gwo Giun Chris Lee, Jui-Che Wu, Ching-Jui Hsiao, Jun-Yuan Ke
2011	C	`conf`	Reconfigurable inverse transform architecture for multiple purpose video coding. ISCAS Tsung-Yuan Huang, He-Yuan Lin, Chun-Fu Chen, Gwo Giun Lee