Jin Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Joint embedding in hierarchical distance and semantic representation learning for link prediction	2024	Jin Liu Jianye Chen Chongfeng Fan Fengyu Zhou
+ PDF Chat	One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion	2024	Zhiwen Xie Yi Zhang Guangyou Zhou Jin Liu Xinhui Tu Jimmy Xiangji Huang
+ PDF Chat	One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion	2024	Zhiwen Xie Yi Zhang Guangyou Zhou Jin Liu Xinhui Tu Jimmy Xiangji Huang
+ PDF Chat	Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer	2023	Fengji Zhang Jin Liu Yao Wan Xiao Yu Xiao Liu Jacky Keung
+	Joint embedding in Hierarchical distance and semantic representation learning for link prediction	2023	Jin Liu Jianye Chen Chongfeng Fan Fengyu Zhou
+	FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models	2023	Songze Li Duanyi Yao Jin Liu
+	Asymmetric Patch Sampling for Contrastive Learning	2023	Chengchao Shen Jianzhong Chen Shu Wang Hulin Kuang Jin Liu Jianxin Wang
+	Mobile Supply: The Last Piece of Jigsaw of Recommender System	2023	Zhenhao Jiang Biao Zeng Hao Feng Jin Liu Jie Zhang Jia Jia Ning Hu
+	NRAND: An efficient and robust dismantling approach for infectious disease network	2022	Muhammad Usman Akhtar Jin Liu Xiao Liu Sheeraz Ahmed Xiaohui Cui
+	SparseMult: A Tensor Decomposition model based on Sparse Relation Matrix	2022	Zhiwen Xie Runjie Zhu Meng Zhang Jin Liu
+ PDF Chat	Compilable Neural Code Generation with Compiler Feedback	2022	Xin Wang Yasheng Wang Yao Wan Fei Mi Yitong Li Pingyi Zhou Jin Liu Hao Wu Xin Jiang Qun Liu
+ PDF Chat	CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training	2022	Xin Wang Yasheng Wang Yao Wan Jiawei Wang Pingyi Zhou Li Li Hao Wu Jin Liu
+	A Frequency-aware Software Cache for Large Recommendation System Embeddings	2022	Jiarui Fang Geng Zhang Jiatong Han Shenggui Li Zhengda Bian Yongbin Li Jin Liu Yang You
+ PDF Chat	Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching	2021	Jian Gao Jin Liu Shunping Ji
+	A Deep Generative Approach to Conditional Sampling	2021	Xingyu Zhou Yuling Jiao Jin Liu Jian Huang
+	MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph	2021	Weichuan Wang Zhiwen Xie Jin Liu Yucong Duan Bo Huang Junsheng Zhang
+ PDF Chat	A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset	2020	Jin Liu Shunping Ji
+	A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset	2020	Jin Liu Shunping Ji
+	Deep Dimension Reduction for Supervised Representation Learning	2020	Jian Huang Yuling Jiao Xu Liao Jin Liu Zhou Yu
+	Generative Learning With Euler Particle Transport	2020	Yuan Gao Jian Huang Yuling Jiao Jin Liu
+	ESTIMATING KNOTS IN BILINEAR SPLINE GROWTH MODELS WITH TIME-INVARIANT COVARIATES IN THE FRAMEWORK OF INDIVIDUAL MEASUREMENT OCCASIONS	2019	Jin Liu
+	The K-Walk Polyhedron	1994	Collette R. Coullard Amelie Gamble Jin Liu

Common Coauthors

Coauthor	Papers Together
Zhiwen Xie	4
Yuling Jiao	3
Shunping Ji	3
Jian Huang	3
Yao Wan	2
Chongfeng Fan	2
Xinhui Tu	2
Fengyu Zhou	2
Guangyou Zhou	2
Jianye Chen	2
Hao Wu	2
Xin Wang	2
Yasheng Wang	2
Pingyi Zhou	2
Xiao Liu	2
Jimmy Xiangji Huang	2
Shenggui Li	1
Zhenhao Jiang	1
Muhammad Usman Akhtar	1
Meng Zhang	1
Jiarui Fang	1
Junsheng Zhang	1
Collette R. Coullard	1
Chengchao Shen	1
Songze Li	1
Xu Liao	1
Xin Jiang	1
Sheeraz Ahmed	1
Shu Wang	1
Geng Zhang	1
Yitong Li	1
Qun Liu	1
Jie Zhang	1
Jianxin Wang	1
Yongbin Li	1
Yang You	1
Bo Huang	1
Ning Hu	1
Yao Wan	1
Yuan Gao	1
Hao Feng	1
Jian Gao	1
Yi Zhang	1
Jiatong Han	1
Jianzhong Chen	1
Jia Jia	1
Li Li	1
Jiawei Wang	1
Yi Zhang	1
Weichuan Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Nonparametric regression using deep neural networks with ReLU activation function	2020	Johannes Schmidt-Hieber	3
+	CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation	2021	Shuai Lu Daya Guo Shuo Ren Junjie Huang A. Svyatkovskiy Ambrosio Blanco Colin B. Clement Dawn Drain Daxin Jiang Duyu Tang	3
+ PDF Chat	Improving automatic source code summarization via deep reinforcement learning	2018	Yao Wan Zhou Zhao Min Yang Guandong Xu Haochao Ying Jian Wu Philip S. Yu	3
+ PDF Chat	Unified Pre-training for Program Understanding and Generation	2021	Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang	3
+	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	2019	Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu	3
+ PDF Chat	DeepMVS: Learning Multi-view Stereopsis	2018	Po‐Han Huang Kevin Matzen Johannes Kopf Narendra Ahuja Jia‐Bin Huang	3
+	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension	2020	Mike Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdelrahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer	3
+ PDF Chat	MVSNet: Depth Inference for Unstructured Multi-view Stereo	2018	Yao Yao Zixin Luo Shiwei Li Tian Fang Long Quan	3
+ PDF Chat	Learned Multi-patch Similarity	2017	Wilfried Hartmann Silvano Galliani Michal Havlena Luc Van Gool Konrad Schindler	3
+ PDF Chat	End-to-End Learning of Geometry and Context for Deep Stereo Regression	2017	Alex Kendall Hayk Martirosyan Saumitro Dasgupta Peter Henry Ryan Kennedy Abraham Bachrach Adam Bry	3
+ PDF Chat	CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation	2021	Yue Wang Weishi Wang Shafiq Joty Steven C. H. Hoi	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Deep Network Approximation Characterized by Number of Neurons	2020	Zuowei Shen Haizhao Yang Zhang Shi-jun	3
+ PDF Chat	SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis	2017	Mengqi Ji Jüergen Gall Haitian Zheng Yebin Liu Lu Fang	3
+ PDF Chat	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation	2016	N. Michael Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox	3
+	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization	2016	Sebastian Nowozin Botond Cseke Ryota Tomioka	3
+	A General Class of Coefficients of Divergence of One Distribution from Another	1966	Syed Mustafa Ali S. D. Silvey	3
+ PDF Chat	Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference	2019	Yao Yao Zixin Luo Shiwei Li Tianwei Shen Tian Fang Long Quan	3
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+ PDF Chat	Decoupling: from dependence to independence	1999	Evarist Giné De La Pena .G Victor de la Peña	2
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun	2
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	2
+ PDF Chat	Code Prediction by Feeding Trees to Transformers	2021	Seohyun Kim Jinman Zhao Yuchi Tian Satish Chandra	2
+	SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation	2021	Xin Wang Yasheng Wang Fei Mi Pingyi Zhou Yao Wan Liu Xiao Li Li Hao Wu Jin Liu Xin Jiang	2
+	CodeSearchNet Challenge: Evaluating the State of Semantic Code Search	2019	Hamel Husain Ho-Hsiang Wu Tiferet Gazit Miltiadis Allamanis Marc Brockschmidt	2
+	Polar factorization and monotone rearrangement of vector‐valued functions	1991	Yann Brenier	2
+ PDF Chat	O-CNN	2017	Peng‐Shuai Wang Yang Liu Yuxiao Guo Chunyu Sun Xin Tong	2
+ PDF Chat	IntelliCode compose: code generation using transformer	2020	Alexey Svyatkovskiy Shao Kun Deng Sheng‐Yu Fu Neel Sundaresan	2
+	Existence and uniqueness of monotone measure-preserving maps	1995	Robert J. McCann	2
+ PDF Chat	Dual representation of φ-divergences and applications	2003	Amor Keziou	2
+ PDF Chat	Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction	2020	Zhanqiu Zhang Jianyu Cai Yongdong Zhang Jie Wang	2
+ PDF Chat	Pyramid Stereo Matching Network	2018	Jia-Ren Chang Yong‐Sheng Chen	2
+	Deep Generative Learning via Variational Gradient Flow	2019	Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang	2
+	End-to-End Learning of Geometry and Context for Deep Stereo Regression	2017	Alex Kendall Hayk Martirosyan Saumitro Dasgupta Peter Henry Ryan Kennedy Abraham Bachrach Adam Bry	2
+	Regression Graphics: Ideas for Studying Regressions Through Graphics	1999	R. W. Moore	2
+	Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation.	2018	Md Zahangir Alom Md. Mahmudul Hasan Chris Yakopcic Tarek M. Taha Vijayan K. Asari	2
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	2
+	On deep learning as a remedy for the curse of dimensionality in nonparametric regression	2019	Benedikt Bauer Michael Köhler	2
+	Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy	2016	Danica J. Sutherland Hsiao-Yu Fish Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton	2
+ PDF Chat	Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization	2010	XuanLong Nguyen Martin J. Wainwright Michael I. Jordan	2
+	Generative Moment Matching Networks	2015	Yujia Li Kevin Swersky Rich Zemel	2
+ PDF Chat	OctNet: Learning Deep 3D Representations at High Resolutions	2017	Gernot Riegler Ali Osman Ulusoy Andreas Geiger	2
+ PDF Chat	Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching	2017	Jiahao Pang Wenxiu Sun Jimmy Ren C.G. Yang Qiong Yan	2
+	Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors	2021	Yuling Jiao Guohao Shen Yuanyuan Lin Jian Huang	2
+ PDF Chat	A Semiparametric Approach to Dimension Reduction	2012	Yanyuan Ma Li Zhu	1
+	Marginal tests with sliced average variance estimation	2007	Yuan‐Hai Shao R. Dennis Cook Sanford Weisberg	1
+ PDF Chat	Optimal Global Rates of Convergence for Nonparametric Regression	1982	Charles J. Stone	1
+ PDF Chat	Logarithmic Sobolev inequalities and stochastic Ising models	1987	Richard A. Holley Daniel W. Stroock	1
+ PDF Chat	Nonparametric independent component analysis	2004	Alexander Samarov Alexandre B. Tsybakov	1
+	Dimension Reduction in Regressions Through Cumulative Slicing Estimation	2010	Li Zhu Li Zhu Zheng-Hui Feng	1