Yuhang Zhou

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All published works
Action Title Year Authors
+ PDF Chat LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models 2024 Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
+ PDF Chat Reprogramming Distillation for Medical Foundation Models 2024 Yuhang Zhou
Siyuan Du
Haolin Li
Jiangchao Yao
Ya Zhang
Yanfeng Wang
+ PDF Chat Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters 2024 Yuhang Zhou
Zihua Zhao
Haolin Li
Siyuan Du
Jiangchao Yao
Ya Zhang
Yanfeng Wang
+ PDF Chat Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement 2024 Xiyao Wang
Jiuhai Chen
Zhaoyang Wang
Yuhang Zhou
Yiyang Zhou
Huaxiu Yao
Tianyi Zhou
Tom Goldstein
Parminder Bhatia
Furong Huang
+ PDF Chat Low-Rank Knowledge Decomposition for Medical Foundation Models 2024 Yuhang Zhou
Haolin Li
Siyuan Du
Jiangchao Yao
Ya Zhang
Yanfeng Wang
+ PDF Chat Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks 2024 Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
+ PDF Chat Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks 2024 Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
+ PDF Chat Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay 2024 Yuhang Zhou
Zhongyun Hua
+ PDF Chat From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter 2024 Yuhang Zhou
Xuan Lu
Wei Ai
+ PDF Chat Are Large Language Models Rational Investors? 2024 Yuhang Zhou
Yuchen Ni
Xiang Liu
Jian Zhang
Sen Liu
Guangnan Ye
Hongfeng Chai
+ PDF Chat Invariance-powered Trustworthy Defense via Remove Then Restore 2024 Xiaowei Fu
Yuhang Zhou
Li-Na Ma
Lei Zhang
+ PDF Chat Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications 2024 Yuhang Zhou
Paiheng Xu
Xiyao Wang
Xuan Lu
Ge Gao
Wei Ai
+ Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences 2024 Xiyao Wang
Yuhang Zhou
Xiaoyu Liu
Hongjin Lu
Yuancheng Xu
Feihong He
Jaehong Yoon
Taixi Lu
Gedas Bertasius
Mohit Bansal
+ Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning 2023 Yuhang Zhou
Jiangchao Yao
Hong Feng
Ya Zhang
Yanfeng Wang
+ $R^3$-NL2GQL: A Hybrid Models Approach for for Accuracy Enhancing and Hallucinations Mitigation 2023 Yuhang Zhou
Yu He
Siyu Tian
Dan Chen
Liuzhi Zhou
Xinlin Yu
Chuanjun Ji
Sen Liu
Guangnan Ye
Hongfeng Chai
+ PDF Chat When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs 2022 Oana Ignat
Santiago Castro
Yuhang Zhou
Jiajun Bao
Dandan Shan
Rada Mihalcea
+ Uncertainty-aware Incremental Learning for Multi-organ Segmentation 2021 Yuhang Zhou
Xiaoman Zhang
Shixiang Feng
Ya Zhang
Yanfeng Wang
+ On the Robustness of Domain Adaption to Adversarial Attacks 2021 Liyuan Zhang
Yuhang Zhou
Lei Zhang
+ MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets 2021 Shixiang Feng
Yuhang Zhou
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
+ PDF Chat SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation 2021 Xiaoman Zhang
Shixiang Feng
Yuhang Zhou
Ya Zhang
Yanfeng Wang
+ SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation 2020 Xiaoman Zhang
Shixiang Feng
Yuhang Zhou
Ya Zhang
Yanfeng Wang
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ A large annotated medical image dataset for the development and evaluation of segmentation algorithms 2019 Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
Bram van Ginneken
Annette Kopp‐Schneider
Bennett A. Landman
Geert Litjens
Bjoern Menze
4
+ PDF Chat 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 Özgün Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
2
+ PDF Chat Towards Evaluating the Robustness of Neural Networks 2017 Nicholas Carlini
David Wagner
2
+ PDF Chat Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation 2019 Yuyin Zhou
Zhe Li
Song Bai
Xinlei Chen
Mei Han
Chong Wang
Elliot K. Fishman
Alan Yuille
2
+ PDF Chat The Limitations of Deep Learning in Adversarial Settings 2016 Nicolas Papernot
Patrick McDaniel
Somesh Jha
Matt Fredrikson
Z. Berkay Celik
Ananthram Swami
2
+ PDF Chat Boosting Adversarial Attacks with Momentum 2018 Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
2
+ PDF Chat Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube 2019 Xinrui Zhuang
Yuexiang Li
Yifan Hu
Kai Ma
Yujiu Yang
Yefeng Zheng
2
+ The Liver Tumor Segmentation Benchmark (LiTS) 2022 Patrick Bilic
Patrick Ferdinand Christ
Hongwei Li
Eugene Vorontsov
Avi Ben-Cohen
Georgios Kaissis
Adi Szeskin
Colin Jacobs
Gabriel Efrain Humpire Mamani
Gabriel Chartrand
2
+ PDF Chat Unsupervised Visual Representation Learning by Context Prediction 2015 Carl Doersch
Abhinav Gupta
Alexei A. Efros
2
+ PDF Chat Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets 2020 Rui Huang
Yuanjie Zheng
Zhiqiang Hu
Shaoting Zhang
Hongsheng Li
2
+ Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation 2019 Yuyin Zhou
Zhe Li
Song Bai
Chong Wang
Xinlei Chen
Mei Han
Elliot K. Fishman
Alan Yuille
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat A survey on deep learning in medical image analysis 2017 Geert Litjens
Thijs Kooi
Babak Ehteshami Bejnordi
Arnaud Arindra Adiyoso Setio
Francesco Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
Clara I. Sá‎nchez
2
+ PDF Chat Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser 2018 Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
2
+ Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge 2018 Spyridon Bakas
Mauricio Reyes
Enzo Battistella
Siddhartha Chandra
Huiguang He
Lucas Fidon
Maria Vakalopoulou
Roger Sun
et al.
Éric Deutsch
2
+ PDF Chat Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks 2016 Nicolas Papernot
Patrick McDaniel
Xi Wu
Somesh Jha
Ananthram Swami
2
+ PDF Chat One Pixel Attack for Fooling Deep Neural Networks 2019 Jiawei Su
Danilo Vargas
Kouichi Sakurai
2
+ DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets 2020 Jianpeng Zhang
Yutong Xie
Yong Xia
Chunhua Shen
2
+ PDF Chat Improving the Robustness of Deep Neural Networks via Stability Training 2016 Stephan Zheng
Yang Song
Thomas Leung
Ian Goodfellow
2
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
2
+ Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning 2016 Hoo-Chang Shin
Holger R. Roth
Mingchen Gao
Le Lü
Ziyue Xu
Isabella Nogues
Jianhua Yao
Daniel J. Mollura
Ronald M. Summers
2
+ A kernel two-sample test 2012 Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alexander J. Smola
1
+ PDF Chat Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 2018 Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Jay Gould
Lei Zhang
1
+ Explaining and Harnessing Adversarial Examples 2014 Ian Goodfellow
Jonathon Shlens
Christian Szegedy
1
+ The Kinetics Human Action Video Dataset 2017 Andrew Zisserman
João Carreira
Karen Simonyan
Will Kay
Brian Zhang
Chloe Hillier
Sudheendra Vijayanarasimhan
Fabio Viola
T.C. Green
Trevor Back
1
+ YouTube-8M: A Large-Scale Video Classification Benchmark 2016 Sami Abu-El-Haija
Nisarg Kothari
Joonseok Lee
Apostol Natsev
George Toderici
Balakrishnan Varadarajan
Sudheendra Vijayanarasimhan
1
+ Long-Term Recurrent Convolutional Networks for Visual Recognition and Description 2016 Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
Sergio Guadarrama
Kate Saenko
Trevor Darrell
1
+ APE-GAN: Adversarial Perturbation Elimination with GAN 2017 Shiwei Shen
Guoqing Jin
Ke Gao
Yongdong Zhang
1
+ Mitigating Adversarial Effects Through Randomization 2017 Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
1
+ PDF Chat Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients 2018 Andrew Slavin Ross
Finale Doshi‐Velez
1
+ Learning Transferable Features with Deep Adaptation Networks 2015 Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
1
+ PDF Chat Domain Generalization for Object Recognition with Multi-task Autoencoders 2015 Muhammad Ghifary
W. Bastiaan Kleijn
Mengjie Zhang
David Balduzzi
1
+ Efficient Estimation of Word Representations in Vector Space 2013 Tomáš Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
1
+ Adversarial examples in the physical world 2016 Alexey Kurakin
Ian Goodfellow
Samy Bengio
1
+ The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability 1973 Joseph L. Fleiss
Jacob Cohen
1
+ nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation 2018 Fabian Isensee
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
Simon Kohl
Jakob Wasserthal
Gregor Koehler
Tobias Norajitra
Sebastian Wirkert
1
+ PDF Chat Localizing Moments in Video with Temporal Language 2018 Lisa Anne Hendricks
Oliver Wang
Eli Shechtman
Josef Šivic
Trevor Darrell
Bryan Russell
1
+ PDF Chat Unsupervised Domain Adaptation With Adversarial Residual Transform Networks 2019 Guanyu Cai
Yuqin Wang
Lianghua He
MengChu Zhou
1
+ Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding 2016 Gunnar A. Sigurdsson
Gül Varol
Xiaolong Wang
Ali Farhadi
Ivan Laptev
Abhinav Gupta
1
+ Optimal kernel choice for large-scale two-sample tests 2012 Arthur Gretton
Dino Sejdinović
Heiko Strathmann
Sivaraman Balakrishnan
Massimiliano Pontil
Kenji Fukumizu
Bharath K. Sriperumbudur
1
+ Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos 2018 Gunnar A. Sigurdsson
Abhinav Gupta
Cordelia Schmid
Ali Farhadi
Karteek Alahari
1
+ Improving Fast Segmentation With Teacher-student Learning 2018 Jiafeng Xie
Bing Shuai
Jian-Fang Hu
Jingyang Lin
Wei‐Shi Zheng
1
+ Unsupervised Learning via Meta-Learning 2018 Kyle Hsu
Sergey Levine
Chelsea Finn
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ Conditional Adversarial Domain Adaptation 2017 Mingsheng Long
Zhangjie Cao
Jianmin Wang
Michael I. Jordan
1
+ PDF Chat Image Captioning with Semantic Attention 2016 Quanzeng You
Hailin Jin
Zhaowen Wang
Fang Chen
Jiebo Luo
1
+ Certified Defenses against Adversarial Examples 2018 Aditi Raghunathan
Jacob Steinhardt
Percy Liang
1
+ advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch 2019 Gavin Weiguang Ding
Luyu Wang
Xiaomeng Jin
1
+ Metric Attack and Defense for Person Re-identification 2019 Song Bai
Yingwei Li
Yuyin Zhou
Qizhu Li
Philip H. S. Torr
1
+ Unsupervised Representation Learning by Predicting Image Rotations 2018 Spyros Gidaris
Praveer Singh
Nikos Komodakis
1