Chen, Chun-Fu

24 publications

ICLRW 2025 Are We Really Unlearning? the Presence of Residual Knowledge in Machine Unlearning Hsiang Hsu, Pradeep Niroula, Zichang He, Chun-Fu Chen

NeurIPS 2025 HeavyWater and SimplexWater: Distortion-Free LLM Watermarks for Low-Entropy Distributions Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Sajani Vithana, Hsiang Hsu, Chun-Fu Chen, Haim H. Permuter, Flavio Calmon

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

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

NeurIPS 2025 The Unseen Threat: Residual Knowledge in Machine Unlearning Under Perturbed Samples Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lecue, Chun-Fu Chen

NeurIPSW 2024 Detection of Partially-Synthesized LLM Text Eric Lei, Hsiang Hsu, Chun-Fu Chen

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

NeurIPSW 2024 LLM Hallucination Reasoning with Zero-Shot Knowledge Test Seongmin Lee, Hsiang Hsu, Chun-Fu Chen

ICML 2024 MaSS: Multi-Attribute Selective Suppression for Utility-Preserving Data Transformation from an Information-Theoretic Perspective Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher

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

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

NeurIPS 2024 RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lecue, Chun-Fu Chen

ICLR 2022 Can an Image Classifier Suffice for Action Recognition? Quanfu Fan, Chun-Fu Chen, Rameswar Panda

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

CVPR 2022 Task2Sim: Towards Effective Pre-Training and Transfer from Synthetic Data Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogerio S. Feris

CVPR 2022 VALHALLA: Visual Hallucination for Machine Translation Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogerio S. Feris, David Cox, Nuno Vasconcelos

ICCV 2021 A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris

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

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

ICCV 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, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky

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

ICCV 2021 Dynamic Network Quantization for Efficient Video Inference Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogerio Feris, Kate Saenko

ICLR 2019 Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogerio Feris

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