Guangyong Chen

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation	2024	Xinyi Zhou Xing Li Yanqing Lian Yiwen Wang Jason Li Chen Mingxuan Yuan Jianye Hao Guangyong Chen Pheng‐Ann Heng
+ PDF Chat	MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models	2024	Donghao Zhou Jiancheng Huang Jinbin Bai Jiaze Wang Hao Chen Guangyong Chen Xiaowei Hu Pheng‐Ann Heng
+ PDF Chat	Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries	2024	Chunbin Gu Mutian He Hanqun Cao Guangyong Chen Chang‐Yu Hsieh Pheng‐Ann Heng
+ PDF Chat	An Autonomous Large Language Model Agent for Chemical Literature Data Mining	2024	Kexin Chen Hanqun Cao Junyou Li Yuyang Du Meng-Hao Guo Xin Zeng L. Li Jiezhong Qiu Pheng‐Ann Heng Guangyong Chen
+ PDF Chat	DPPMask: Masked Image Modeling with Determinantal Point Processes	2024	Junde Xu Zikai Lin Donghao Zhou Yaodong Yang Xiangyun Liao Qiong Wang Bian Wu Guangyong Chen Pheng‐Ann Heng
+	SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning	2024	Hao Chen Jiaze Wang Ziyu Guo Jinpeng Li Donghao Zhou Bian Wu Chenyong Guan Guangyong Chen Pheng‐Ann Heng
+	Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoop	2024	Tianyue Wang Xujun Zhang Odin Zhang Guangyong Chen Peichen Pan Ercheng Wang Jike Wang Jialu Wu Donghao Zhou Langcheng Wang
+ PDF Chat	Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images	2024	Xikai Yang Jian Wu Xi Wang Yuchen Yuan Jinpeng Li Guangyong Chen Ning Li Wang Pheng‐Ann Heng
+	Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation	2023	Zhongwei Wan Xin Liu Benyou Wang Jiezhong Qiu Boyu Li Ting Guo Guangyong Chen Yang Wang
+ PDF Chat	Traj-MAE: Masked Autoencoders for Trajectory Prediction	2023	Hao Chen Jiaze Wang Kun Shao Furui Liu Jianye Hao Chenyong Guan Guangyong Chen Pheng‐Ann Heng
+ PDF Chat	RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction	2023	Donghao Zhou Chunbin Gu Junde Xu Furui Liu Qiong Wang Guangyong Chen Pheng‐Ann Heng
+	DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction	2023	Bowen Wang Liang Chen Jiaze Wang Furui Liu Shaogang Hao Dong Li Jianye Hao Guangyong Chen Xiaolong Zou Pheng‐Ann Heng
+	Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoop	2023	Tianyue Wang Xujun Zhang Odin Zhang Peichen Pan Guangyong Chen Yu Kang Chang‐Yu Hsieh Tingjun Hou
+ PDF Chat	Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms	2022	Yunqi Wang Furui Liu Zhitang Chen Yik‐Chung Wu Jianye Hao Guangyong Chen Pheng‐Ann Heng
+ PDF Chat	Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations	2022	Yu Yang Zixu Zhao Yueming Jin Guangyong Chen Qi Dou Pheng‐Ann Heng
+ PDF Chat	Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation	2022	Yong Cao Wei Li Xianzhi Li Min Chen Guangyong Chen Long Hu Zhengdao Li Kai Hwang
+	Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation	2022	Zhongwei Wan Benyou Wang Xin Liu Jiezhong Qiu Boyu Li Ting Guo Guangyong Chen Yang Wang
+	Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction	2022	Chen Liang Bowen Wang Shaogang Hao Guangyong Chen Pheng‐Ann Heng Xiaolong Zou
+	Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation	2022	Yong Cao Wei Li Xianzhi Li Min Chen Guangyong Chen Long Hu Zhengdao Li Hwang Kai
+	RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction	2022	Donghao Zhou Chunbin Gu Junde Xu Furui Liu Qiong Wang Guangyong Chen Pheng‐Ann Heng
+ PDF Chat	Acknowledging the Unknown for Multi-label Learning with Single Positive Labels	2022	Donghao Zhou Pengfei Chen Qiong Wang Guangyong Chen Pheng‐Ann Heng
+ PDF Chat	A Rotation-Invariant Framework for Deep Point Cloud Analysis	2021	Xianzhi Li Ruihui Li Guangyong Chen Chi‐Wing Fu Daniel Cohen‐Or Pheng‐Ann Heng
+	Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning	2021	Weiwen Liu Feng Liu Ruiming Tang Ben Liao Guangyong Chen Pheng‐Ann Heng
+	Wasserstein Collaborative Filtering for Item Cold-start Recommendation	2019	Yitong Meng Guangyong Chen Benben Liao Jun Guo Weiwen Liu
+	PMD: An Optimal Transportation-based User Distance for Recommender Systems	2019	Yitong Meng Xinyan Dai Xiao Yan James Cheng Weiwen Liu Benben Liao Jun Guo Guangyong Chen

Common Coauthors

Coauthor	Papers Together
Pheng‐Ann Heng	17
Furui Liu	5
Jianye Hao	4
Qiong Wang	3
Jiezhong Qiu	3
Chang‐Yu Hsieh	3
Donghao Zhou	3
Donghao Zhou	3
Weiwen Liu	3
Chunbin Gu	3
Chenyong Guan	2
Junde Xu	2
Jun Guo	2
Yitong Meng	2
Xiaolong Zou	2
Xianzhi Li	2
Bowen Wang	2
Benben Liao	2
Xujun Zhang	2
Tingjun Hou	2
Peichen Pan	2
Odin Zhang	2
Long Hu	2
Tianyue Wang	2
Zhongwei Wan	2
Shaogang Hao	2
Yang Wang	2
Hanqun Cao	2
Zhengdao Li	2
Benyou Wang	2
Wei Li	2
Min Chen	2
Jiaze Wang	2
Ruiming Tang	1
L. Li	1
Daniel Cohen–Or	1
Ziyu Guo	1
Yu Kang	1
Xin Liu	1
Yueming Jin	1
Ercheng Wang	1
Yik‐Chung Wu	1
Ting Guo	1
Jiancheng Huang	1
Xiangyun Liao	1
Ruihui Li	1
Mingxuan Yuan	1
Kai Hwang	1
Jason Li Chen	1
Ruofan Jin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	2
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	2
+ PDF Chat	Masked Autoencoders Are Scalable Vision Learners	2022	Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross Girshick	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+	BEiT: BERT Pre-Training of Image Transformers	2021	Hangbo Bao Dong Li Furu Wei	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+ PDF Chat	Label Propagation for Deep Semi-Supervised Learning	2019	Ahmet İşcen Giorgos Tolias Yannis Avrithis Ondřej Chum	2
+ PDF Chat	Asymmetric Loss For Multi-Label Classification	2021	Tal Ridnik Emanuel Ben-Baruch Nadav Zamir Asaf Noy Itamar Friedman Matan Protter Lihi Zelnik‐Manor	2
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	2
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+ PDF Chat	A Smoothed Dual Approach for Variational Wasserstein Problems	2016	Marco Cuturi Gabriel Peyré	1
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	1
+	The coincidence approach to stochastic point processes	1975	Odile Macchi	1
+	The unequal variance t-test is an underused alternative to Student's t-test and the Mann–Whitney U test	2006	Graeme D. Ruxton	1
+	Explaining nonlinear classification decisions with deep Taylor decomposition	2016	Grégoire Montavon Sebastian Lapuschkin Alexander Binder Wojciech Samek Klaus‐Robert Müller	1
+ PDF Chat	Domain Generalization for Object Recognition with Multi-task Autoencoders	2015	Muhammad Ghifary W. Bastiaan Kleijn Mengjie Zhang David Balduzzi	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Large Batch Training of Convolutional Networks	2017	Yang You Igor Gitman Boris Ginsburg	1
+ PDF Chat	Deeper, Broader and Artier Domain Generalization	2017	Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales	1
+	A Large Dataset of Object Scans	2016	Sungjoon Choi Qian-Yi Zhou Stephen D. Miller Vladlen Koltun	1
+	Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks	2016	Tim Salimans Diederik P. Kingma	1
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	Geometric median in nearly linear time	2016	Michael B. Cohen Yin Tat Lee Gary L. Miller Jakub Pachocki Aaron Sidford	1
+ PDF Chat	Improved Recurrent Neural Networks for Session-based Recommendations	2016	Yong Tan Xinxing Xu Yong Liu	1
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	1
+	Empirical Analysis of Predictive Algorithms for Collaborative Filtering	2013	John S. Breese David Heckerman Carl Kadie	1
+	The Exponentially Weighted Moving Average	1986	J. Stuart Hunter	1
+	Near-Optimal MAP Inference for Determinantal Point Processes	2012	Jennifer Gillenwater Alex Kulesza Ben Taskar	1
+ PDF Chat	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	1
+ PDF Chat	Learning Features by Watching Objects Move	2017	Deepak Pathak Ross Girshick Piotr Dollár Trevor Darrell Bharath Hariharan	1
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	1
+ PDF Chat	Collaborative Deep Learning for Recommender Systems	2015	Hao Wang Naiyan Wang Dit‐Yan Yeung	1
+ PDF Chat	Surgical data science for next-generation interventions	2017	Lena Maier‐Hein S. Swaroop Vedula Stefanie Speidel Nassir Navab Ron Kikinis Adrian Park Matthias Eisenmann Hubertus Feußner Germain Forestier Stamatia Giannarou	1
+	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction	2017	Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He	1
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	1
+ PDF Chat	Multi-Label Learning with Global and Local Label Correlation	2017	Yue Zhu James T. Kwok Zhi‐Hua Zhou	1
+	Convolutional Sequence to Sequence Learning	2017	Jonas Gehring Michael Auli David Grangier Denis Yarats Yann Dauphin	1
+	DiracNets: Training Very Deep Neural Networks Without Skip-Connections	2017	Sergey Zagoruyko Nikos Komodakis	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+ PDF Chat	Deep Hashing Network for Unsupervised Domain Adaptation	2017	Hemanth Venkateswara José Eusébio Shayok Chakraborty Sethuraman Panchanathan	1
+ PDF Chat	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Li Fei-Fei C. Lawrence Zitnick Ross Girshick	1
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	1
+	Domain Generalization via Invariant Feature Representation	2013	Krikamol Muandet David Balduzzi Bernhard Sch lkopf	1
+	An Exact Algorithm for Maximum Entropy Sampling	1995	Chun-Wa Ko Jon Lee Maurice Queyranne	1