Zhengyang Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter	2025	Zihang Li Y. Ruan Wenjun Liu Zhengyang Wang Tong Yang
+ PDF Chat	Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models	2024	Yilun Jin Zheng Li Chenwei Zhang Tianyu Cao Yifan Gao Pratik Jayarao Mao Li Xin Liu Ritesh Sarkhel Xianfeng Tang
+ PDF Chat	Scaling Laws for Predicting Downstream Performance in LLMs	2024	Yuquan Chen B. Emma Huang Yifan Gao Zhengyang Wang Jingfeng Yang Hong Ji
+ PDF Chat	RNR: Teaching Large Language Models to Follow Roles and Rules	2024	Kuan Wang Alexander Bukharin Haoming Jiang Qingyu Yin Zhengyang Wang Tuo Zhao Jingbo Shang Chao Zhang Bing Yin Xian Li
+ PDF Chat	Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs	2024	Kewei Cheng Jingfeng Yang Haoming Jiang Zhengyang Wang Binxuan Huang Ruirui Li Shi-Yang Li Li Zheng Yifan Gao Xian Li
+ PDF Chat	Relational Database Augmented Large Language Model	2024	Zongyue Qin Luo Chen Zhengyang Wang Haoming Jiang Yizhou Sun
+ PDF Chat	CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery	2024	Xiaoshuai Song Muxi Diao Guanting Dong Zhengyang Wang Yujia Fu Runqi Qiao Zhexu Wang Dayuan Fu Huangxuan Wu Bin Liang
+ PDF Chat	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond	2024	Tianxin Wei Bowen Jin Ruirui Li Hansi Zeng Zhengyang Wang Jianhui Sun Qingyu Yin Hanqing Lu Suhang Wang Jingrui He
+ PDF Chat	Knowledge Editing on Black-box Large Language Models	2024	Xiaoshuai Song Zhengyang Wang Keqing He Guanting Dong Jinxu Zhao Weiran Xu
+	Data Diversity Matters for Robust Instruction Tuning	2024	Alexander Bukharin Shiyang Li Zhengyang Wang Jingfeng Yang Bing Yin Xian Li Chao Zhang Tuo Zhao Haoming Jiang
+	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy	2023	Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Monica Cheng Bing Yin Suhang Wang
+	SCOTT: Self-Consistent Chain-of-Thought Distillation	2023	Peifeng Wang Zhengyang Wang Zheng Li Yifan Gao Bing Yin Xiang Ren
+	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy	2023	Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Monica Cheng Bing Yin Suhang Wang
+	Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs	2023	Zijie Huang Daheng Wang Binxuan Huang Chenwei Zhang Jingbo Shang Yan Liang Zhengyang Wang Xian Li Christos Faloutsos Yizhou Sun
+	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation	2023	Wei Jin Haitao Mao Zheng Li Haoming Jiang Chen Luo Hongzhi Wen Haoyu Han Hanqing Lu Zhengyang Wang Ruirui Li
+ PDF Chat	Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs	2023	Zijie Huang Daheng Wang Binxuan Huang Chenwei Zhang Jingbo Shang Yan Liang Zhengyang Wang Xian Li Christos Faloutsos Yizhou Sun
+	SCOTT: Self-Consistent Chain-of-Thought Distillation	2023	Peifeng Wang Zhengyang Wang Zheng Li Yifan Gao Bing Yin Xiang Ren
+	Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations	2023	Jiachi Liu Liwen Wang Guanting Dong Xiaoshuai Song Zechen Wang Zhengyang Wang Shanglin Lei Jinzheng Zhao Keqing He Bo Xiao
+	Language Models As Semantic Indexers	2023	Bowen Jin Hansi Zeng Guoyin Wang Xiusi Chen Tianxin Wei Ruirui Li Zhengyang Wang Zheng Li Yang Li Hanqing Lu
+	Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns	2023	Xin Liu Zheng Li Yifan Gao Jingfeng Yang Tianyu Cao Zhengyang Wang Bing Yin Yangqiu Song
+ PDF Chat	Self-Supervised Learning of Graph Neural Networks: A Unified Review	2022	Yaochen Xie Xu Zhao Jingtun Zhang Zhengyang Wang Shuiwang Ji
+ PDF Chat	Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping	2022	Xinyi Xu Zhengyang Wang Cheng Deng Hao Yuan Shuiwang Ji
+ PDF Chat	Advanced graph and sequence neural networks for molecular property prediction and drug discovery	2022	Zhengyang Wang Meng Liu Youzhi Luo Xu Zhao Yaochen Xie Limei Wang Lei Cai Qi Qi Zhuoning Yuan Tianbao Yang
+ PDF Chat	Non-Local Graph Neural Networks	2021	Meng Liu Zhengyang Wang Shuiwang Ji
+ PDF Chat	Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples	2021	Lei Cai Zhengyang Wang Rob J. Kulathinal Sudhir Kumar Shuiwang Ji
+ PDF Chat	Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization	2021	Wei Chen Kexin Lou Zhengyang Wang Mingqi Zhao Dante Mantini Quanying Liu
+ PDF Chat	Smoothed dilated convolutions for improved dense prediction	2021	Zhengyang Wang Shuiwang Ji
+ PDF Chat	Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization	2021	Chen Wei Kexin Lou Zhengyang Wang Mingqi Zhao Dante Mantini Quanying Liu
+ PDF Chat	Global voxel transformer networks for augmented microscopy	2021	Zhengyang Wang Yaochen Xie Shuiwang Ji
+	Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization	2021	Wei Chen Kexin Lou Zhengyang Wang Mingqi Zhao Dante Mantini Quanying Liu
+	Self-Supervised Learning of Graph Neural Networks: A Unified Review	2021	Yaochen Xie Xu Zhao Jingtun Zhang Zhengyang Wang Shuiwang Ji
+ PDF Chat	CorDEL: A Contrastive Deep Learning Approach for Entity Linkage	2020	Zhengyang Wang Bunyamin Sisman Hao Wei Dong Xin Shuiwang Ji
+ PDF Chat	Kronecker Attention Networks	2020	Hongyang Gao Zhengyang Wang Shuiwang Ji
+ PDF Chat	Second-Order Pooling for Graph Neural Networks	2020	Zhengyang Wang Shuiwang Ji
+	Global Pixel Transformers for Virtual Staining of Microscopy Images	2020	Yi Liu Hao Yuan Zhengyang Wang Shuiwang Ji
+	ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions	2020	Hongyang Gao Zhengyang Wang Lei Cai Shuiwang Ji
+	iCapsNets: Towards Interpretable Capsule Networks for Text Classification	2020	Zhengyang Wang Hu Xia Shuiwang Ji
+	Global Voxel Transformer Networks for Augmented Microscopy	2020	Zhengyang Wang Yaochen Xie Shuiwang Ji
+	CorDEL: A Contrastive Deep Learning Approach for Entity Linkage	2020	Zhengyang Wang Bunyamin Sisman Hao Wei Dong Xin Shuiwang Ji
+	Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples	2020	Lei Cai Zhengyang Wang Rob J. Kulathinal Sudhir Kumar Shuiwang Ji
+	Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising	2020	Yaochen Xie Zhengyang Wang Shuiwang Ji
+	Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping	2020	Xinyi Xu Zhengyang Wang Cheng Deng Hao Yuan Shuiwang Ji
+	Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery	2020	Zhengyang Wang Meng Liu Youzhi Luo Xu Zhao Yaochen Xie Limei Wang Lei Cai Qi Qi Zhuoning Yuan Tianbao Yang
+	Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images	2019	Yi Liu Hao Yuan Zhengyang Wang Shuiwang Ji
+ PDF Chat	Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions	2019	Zhengyang Wang Hao Yuan Shuiwang Ji
+	Global Pixel Transformers for Virtual Staining of Microscopy Images	2019	Yi Liu Hao Yuan Zhengyang Wang Shuiwang Ji
+	Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation.	2018	Zhengyang Wang Na Zou Dinggang Shen Shuiwang Ji
+	ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions	2018	Hongyang Gao Zhengyang Wang Shuiwang Ji
+	Smoothed Dilated Convolutions for Improved Dense Prediction	2018	Zhengyang Wang Shuiwang Ji
+	Large-Scale Learnable Graph Convolutional Networks	2018	Hongyang Gao Zhengyang Wang Shuiwang Ji
+ PDF Chat	Learning Convolutional Text Representations for Visual Question Answering	2018	Zhengyang Wang Shuiwang Ji
+	ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions	2018	Hongyang Gao Zhengyang Wang Shuiwang Ji
+	Non-local U-Net for Biomedical Image Segmentation	2018	Zhengyang Wang Na Zou Dinggang Shen Shuiwang Ji
+	Pixel Deconvolutional Networks	2017	Hongyang Gao Hao Yuan Zhengyang Wang Shuiwang Ji
+	Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions	2017	Zhengyang Wang Hao Yuan Shuiwang Ji
+	Learning Convolutional Text Representations for Visual Question Answering.	2017	Zhengyang Wang Shuiwang Ji

Common Coauthors

Coauthor	Papers Together
Shuiwang Ji	33
Yaochen Xie	7
Hongyang Gao	6
Jingfeng Yang	5
Suhang Wang	5
Haoming Jiang	4
Hao Yuan	4
Bing Yin	4
Guanting Dong	3
Yizhou Sun	3
Jingbo Shang	3
Xianfeng Tang	3
Xu Zhao	3
Weiran Xu	3
Qingyu Yin	3
Yifan Gao	3
Binxuan Huang	3
Bing Yin	3
Hao Yuan	3
Meng Liu	3
Hanqing Lu	3
Bing Yin	3
Xian Li	3
Mingqi Zhao	3
Dante Mantini	3
Quanying Liu	3
Lei Cai	3
Ruirui Li	3
Cheng Deng	2
Tianyu Cao	2
Peifeng Wang	2
Xiaoshuai Song	2
Limei Wang	2
Zijie Huang	2
Wei Chen	2
Chenwei Zhang	2
Shiyang Li	2
Keqing He	2
Dong Xin	2
Xianfeng Tang	2
Limeng Cui	2
Enyan Dai	2
Qi Qi	2
Dinggang Shen	2
Na Zou	2
Zheng Li	2
Hansi Zeng	2
Tianxin Wei	2
Bunyamin Sisman	2
Youzhi Luo	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	18
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	8
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He	8
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	8
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	8
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	6
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	6
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	6
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	5
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	5
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	5
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	Smoothed Dilated Convolutions for Improved Dense Prediction	2018	Zhengyang Wang Shuiwang Ji	5
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	5
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	4
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	Superhuman Accuracy on the SNEMI3D Connectomics Challenge	2017	Kisuk Lee Jonathan Zung Peter H. Li Viren Jain H. Sebastian Seung	3
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	3
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	3
+ PDF Chat	FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics	2021	Tran Minh Quan David G. C. Hildebrand Won-Ki Jeong	3
+	Large-Scale Learnable Graph Convolutional Networks	2018	Hongyang Gao Zhengyang Wang Shuiwang Ji	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	3
+ PDF Chat	Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning	2019	Yair Rivenson Hongda Wang Zhensong Wei Kevin de Haan Yibo Zhang Yichen Wu Harun Günaydın Jonathan E. Zuckerman Thomas Chong Anthony Sisk	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+	Conditional Image Generation with PixelCNN Decoders	2016	Aäron van den Oord Nal Kalchbrenner Oriol Vinyals Lasse Espeholt Alex Graves Koray Kavukcuoglu	3
+	Graph Representation Learning via Hard and Channel-Wise Attention Networks	2019	Hongyang Gao Shuiwang Ji	3
+	Bag of Tricks for Efficient Text Classification	2017	Armand Joulin Édouard Grave Piotr Bojanowski Tomáš Mikolov	3
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	3
+ PDF Chat	Predicting multicellular function through multi-layer tissue networks	2017	Marinka Žitnik Jure Leskovec	2
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	2
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	2
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+ PDF Chat	Automatic image analysis for gene expression patterns of fly embryos	2007	Hanchuan Peng Fuhui Long Jie Zhou Garmay Leung Michael B. Eisen Eugene W. Myers	2
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	2
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	2
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	2
+ PDF Chat	MoleculeNet: a benchmark for molecular machine learning	2017	Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes Caleb Geniesse Aneesh Pappu Karl Leswing Vijay S. Pande	2
+ PDF Chat	Learning Convolutional Text Representations for Visual Question Answering	2018	Zhengyang Wang Shuiwang Ji	2
+	Representation Learning on Graphs with Jumping Knowledge Networks	2018	Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken‐ichi Kawarabayashi Stefanie Jegelka	2
+	Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification	2014	Hongsheng Li Rui Zhao Xiaogang Wang	2
+ PDF Chat	Machine learning for neuroimaging with scikit-learn	2014	Alexandre Abraham Fabian Pedregosa Michael Eickenberg Philippe Gervais Andreas Mueller Jean Kossaifi Alexandre Gramfort Bertrand Thirion Gaël Varoquaux	2
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	2
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	2
+ PDF Chat	Understanding Convolution for Semantic Segmentation	2018	Panqu Wang Pengfei Chen Ye Yuan Ding Liu Zehua Huang Xiaodi Hou Garrison W. Cottrell	2
+	Neural Machine Translation in Linear Time	2016	Nal Kalchbrenner Lasse Espeholt Karen Simonyan Aäron van den Oord Alexander Graves Koray Kavukcuoglu	2