Chenyu Wang

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Reward-Guided Controlled Generation for Inference-Time Alignment in Diffusion Models: Tutorial and Review	2025	Masatoshi Uehara Yulai Zhao Chenyu Wang Xiner Li Aviv Regev Sergey Levine Tommaso Biancalani
+ PDF Chat	Predicting Human Brain States with Transformer	2024	Yifei Sun Mariano Cabezas Jiah Lee Chenyu Wang Wei Zhang Fernando Calamante Jinglei Lv
+ PDF Chat	Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation	2024	Chenyu Wang Weichao Zhou Shantanu Ghosh Kayhan Batmanghelich Wenchao Li
+ PDF Chat	Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design	2024	Chenyu Wang Masatoshi Uehara Yongning He Amy Wang Tommaso Biancalani Avantika Lal Tommi Jaakkola Sergey Levine Hanchen Wang Aviv Regev
+ PDF Chat	"What" x "When" working memory representations using Laplace Neural Manifolds	2024	Aakash Sarkar Chenyu Wang Shangfu Zuo Marc W. Howard
+ PDF Chat	Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging	2024	Sheng Chen Zihao Tang Mariano Cabezas Xinyi Wang Arkiev D’Souza Michael Barnett Fernando Calamante Weidong Cai Chenyu Wang
+ PDF Chat	Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis	2024	Yang Ma Dongang Wang Peilin Liu Lynette Masters Michael Barnett Weidong Cai Chenyu Wang
+	Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training	2024	Lei Bai Dongang Wang Hengrui Wang Michael Barnett Mariano Cabezas Weidong Cai Fernando Calamante Kain Kyle Dongnan Liu Linda Ly
+ PDF Chat	How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks	2024	Dongang Wang Peilin Liu Hengrui Wang Heidi Beadnall Kain Kyle Linda Ly Mariano Cabezas Geng Zhan Ryan Sullivan Weidong Cai
+ PDF Chat	Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices	2024	Chenyu Wang Yang Zhou Ze Shi Li Daniela Damian David Lo
+	MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning	2024	Chenyu Wang Weixin Luo Qianyu Chen Haonan Mai Jindi Guo Sixun Dong Xiaohua Xuan Xuan Zhengxin Li Ma Lin
+ PDF Chat	Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation	2023	Geng Zhan Dongang Wang Mariano Cabezas Lei Bai Kain Kyle Wanli Ouyang Michael Barnett Chenyu Wang
+ PDF Chat	Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI	2023	Sheng Chen Zihao Tang Dongnan Liu Ché Fornusek Michael Barnett Chenyu Wang Mariano Cabezas Weidong Cai
+	Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation	2023	Geng Zhan Dongang Wang Mariano Cabezas Lei Bai Kain Kyle Wanli Ouyang Michael Barnett Chenyu Wang
+ PDF Chat	Learning from Pseudo-Labels: Deep Networks Improve Consistency in Longitudinal Brain Volume Estimation	2023	Geng Zhan Dongang Wang Mariano Cabezas Lei Bai Kain Kyle Wanli Ouyang Michael Barnett Chenyu Wang
+	Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI	2023	Sheng Chen Zihao Tang Dongnan Liu Ché Fornusek Michael Barnett Chenyu Wang Mariano Cabezas Weidong Cai
+	Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training	2023	Lei Bai Dongang Wang Michael Barnett Mariano Cabezas Weidong Cai Fernando Calamante Kain Kyle Dongnan Liu Linda Ly Aria Nguyen
+	Removing Biases from Molecular Representations via Information Maximization	2023	Chenyu Wang Sharut Gupta Caroline Uhler Tommi Jaakkola
+ PDF Chat	TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging	2022	Zihao Tang Xinyi Wang Lihaowen Zhu Mariano Cabezas Dongnan Liu Michael Barnett Weidong Cai Chenyu Wang
+ PDF Chat	Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications	2022	Yang Ma Chaoyi Zhang Mariano Cabezas Yang Song Zihao Tang Dongnan Liu Weidong Cai Michael Barnett Chenyu Wang
+ PDF Chat	Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement	2022	Dongnan Liu Chaoyi Zhang Yang Song Heng Huang Chenyu Wang Michael Barnett Weidong Cai
+	MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning	2022	Dongnan Liu Mariano Cabezas Dongang Wang Zihao Tang Lei Bai Geng Zhan Yuling Luo Kain Kyle Linda Ly James B. Yu
+	TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging	2022	Zihao Tang Xinyi Wang Lihaowen Zhu Mariano Cabezas Dongnan Liu Michael Barnett Weidong Cai Chenyu Wang
+	Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement	2022	Dongnan Liu Chaoyi Zhang Yang Song Heng Huang Chenyu Wang Michael Barnett Weidong Cai
+	Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications	2021	Yang Ma Chaoyi Zhang Mariano Cabezas Yang Song Zihao Tang Dongnan Liu Weidong Cai Michael Barnett Chenyu Wang
+	Multiple Sclerosis Lesion Inpainting Using Non-Local Partial Convolutions	2019	Hao Xiong Chaoyue Wang Dacheng Tao Michael Barnett Chenyu Wang
+ PDF Chat	Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning	2017	Prasoon Goyal Zhiting Hu Xiaodan Liang Chenyu Wang Eric P. Xing Carnegie Mellon
+	Nonparametric Variational Auto-encoders for Hierarchical Representation Learning	2017	Prasoon Goyal Zhiting Hu Xiaodan Liang Chenyu Wang Eric P. Xing

Common Coauthors

Coauthor	Papers Together
Michael Barnett	18
Mariano Cabezas	15
Weidong Cai	14
Dongnan Liu	11
Dongang Wang	8
Zihao Tang	8
Kain Kyle	7
Geng Zhan	7
Wanli Ouyang	7
Lei Bai	6
Fernando Calamante	6
Chaoyi Zhang	4
Linda Ly	4
Chun‐Chien Shieh	3
Aria Nguyen	3
Yang Song	3
Ché Fornusek	2
Ryan J. Sullivan	2
Masatoshi Uehara	2
Zhiting Hu	2
Xiaodan Liang	2
Tommi Jaakkola	2
Lihaowen Zhu	2
Sheng Chen	2
Xinyi Wang	2
Tommaso Biancalani	2
Heng Huang	2
Sergey Levine	2
Yang Ma	2
Eric P. Xing	2
Prasoon Goyal	2
Peilin Liu	2
Hengrui Wang	2
Aviv Regev	2
Yuling Luo	1
Zhengxin Li	1
Wei Zhang	1
Ryan Sullivan	1
Chaoyue Wang	1
Yongning He	1
Yang Ma	1
Yifei Sun	1
Hanchen Wang	1
Xuân	1
Xiner Li	1
Xiaohua	1
Daniela Damian	1
Jindi Guo	1
Lynette Masters	1
Shangfu Zuo	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies	2010	David M. Blei Thomas L. Griffiths Michael I. Jordan	2
+	Composing graphical models with neural networks for structured representations and fast inference	2016	Matthew Johnson David Duvenaud Alexander B. Wiltschko Sandeep Robert Datta Ryan P. Adams	2
+ PDF Chat	Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications	2022	Yang Ma Chaoyi Zhang Mariano Cabezas Yang Song Zihao Tang Dongnan Liu Weidong Cai Michael Barnett Chenyu Wang	2
+	Autoencoding beyond pixels using a learned similarity metric	2015	Anders Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther	2
+ PDF Chat	Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach	2017	Sergi Valverde Mariano Cabezas Eloy Roura Sandra González-Villà Deborah Pareto Joan C. Vilanova Lluís Ramió‐Torrentà Àlex Rovira Arnau Oliver Xavier Lladó	2
+ PDF Chat	An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders	2016	Jacob Walker Carl Doersch Abhinav Gupta Martial Hebert	2
+	DRAW: A Recurrent Neural Network For Image Generation	2015	Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra	2
+ PDF Chat	Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting	2020	Dongnan Liu Donghao Zhang Yang Song Fan Zhang Lauren J. O’Donnell Heng Huang Mei Chen Weidong Cai	2
+ PDF Chat	A Kernel Method for the Two-Sample-Problem	2007	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+	Discovering Statistics Using Ibm Spss Statistics	2017	Andy P. Field	1
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	1
+	Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning	2016	Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Taşdizen	1
+	On Unifying Deep Generative Models	2017	Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric P. Xing	1
+	Generating Sentences from a Continuous Space	2015	Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafał Józefowicz Samy Bengio	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	1
+ PDF Chat	Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks	2017	Konstantinos Kamnitsas Christian F. Baumgartner Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Aditya Nori Antonio Criminisi Daniel Rueckert	1
+ PDF Chat	HeMIS: Hetero-Modal Image Segmentation	2016	Mohammad Havaei Nicolas Guizard Nicolas Chapados Yoshua Bengio	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	1
+ PDF Chat	ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation	2019	Tuan-Hung Vu Himalaya Jain Maxime Bucher Matthieu Cord Patrick Pérez	1
+ PDF Chat	Generative Adversarial Networks: An Overview	2018	Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta Anil A. Bharath	1
+	Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks	2018	Snehashis Roy John A. Butman Daniel S. Reich Peter A. Calabresi Dzung L. Pham	1
+	Attention U-Net: Learning Where to Look for the Pancreas	2018	Ozan Oktay Jo Schlemper Loïc Le Folgoc Matthew C. H. Lee Mattias P. Heinrich‬ Kazunari Misawa Kensaku Mori Steven McDonagh Nils Hammerla Bernhard Kainz	1
+ PDF Chat	Image Inpainting for Irregular Holes Using Partial Convolutions	2018	Guilin Liu Fitsum A. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro	1
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	1
+ PDF Chat	Semi-Supervised Sequence Modeling with Cross-View Training	2018	Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le	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	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Measuring brain atrophy with a generalized formulation of the boundary shift integral	2014	Ferrán Prados M. Jorge Cardoso Kelvin K. Leung David M. Cash Marc Modat Nick C. Fox Claudia A. M. Gandini Wheeler‐Kingshott Sébastien Ourselin	1
+	Generative Face Completion	2017	Yijun Li Sifei Liu Shuicheng Yan Ming–Hsuan Yang	1
+	High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis	2016	Chao Yang Xin Lu Zhe Lin Eli Shechtman Oliver Wang Hao Li	1
+ PDF Chat	Attending to Discriminative Certainty for Domain Adaptation	2019	Vinod K Kurmi Shanu Kumar Vinay P. Namboodiri	1
+	Semantic Image Inpainting with Perceptual and Contextual Losses.	2016	Raymond A. Yeh Chen Chen Teck-Yian Lim Mark Hasegawa–Johnson N. Minh	1
+	When Does Label Smoothing Help?	2019	Rafael Müller Simon Kornblith Geoffrey E. Hinton	1
+	Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results	2017	Antti Tarvainen Harri Valpola	1
+	Domain Separation Networks	2016	Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan Dumitru Erhan	1
+	Domain Agnostic Learning with Disentangled Representations	2019	Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko	1
+	CyCADA: Cycle-Consistent Adversarial Domain Adaptation	2017	Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell	1
+ PDF Chat	Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation	2018	Naoto Inoue Ryosuke Furuta Toshihiko Yamasaki Kiyoharu Aizawa	1
+ PDF Chat	Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection	2018	Seyed Raein Hashemi Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Sanjay P. Prabhu Simon K. Warfield Ali Gholipour	1
+ PDF Chat	CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation	2018	Dakai Jin Ziyue Xu Youbao Tang Adam P. Harrison Daniel J. Mollura	1
+ PDF Chat	Multi-branch convolutional neural network for multiple sclerosis lesion segmentation	2019	Shahab Aslani Michael Dayan Loredana Storelli Massimo Filippi Vittorio Murino Maria A. Rocca Diego Sona	1
+	One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks	2018	Sergi Valverde Mostafa Salem Mariano Cabezas Deborah Pareto Joan C. Vilanova Lluís Ramió‐Torrentà Àlex Rovira Joaquím Salví Arnau Oliver Xavier Lladó	1
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+	Generating Sentences from a Continuous Space	2016	Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafał Józefowicz Samy Bengio	1
+	Deep Kernel Learning	2015	Andrew Gordon Wilson Zhiting Hu Ruslan Salakhutdinov Eric P. Xing	1