Jin Li

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All published works
Action Title Year Authors
+ PDF Chat Exponential valuations on lattice polygons 2024 Kåroly J. Böröczky
M. Domokos
Ansgar Freyer
Christoph Haberl
Gergely Harcos
Jin Li
+ PDF Chat Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations 2024 Yuchen Song
Yao Zhang
Ai-qing Zhou
Yan Shi
Shikui Shen
Xiongyan Tang
Jin Li
Min Zhang
Danshi Wang
+ PDF Chat Progressive Residual Extraction based Pre-training for Speech Representation Learning 2024 Tianrui Wang
Jin Li
Ziyang Ma
Rui Cao
Xie Chen
Longbiao Wang
Meng Ge
Xiaobao Wang
Yu Guang Wang
Jianwu Dang
+ PDF Chat COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport 2024 Linhao Zhang
Jin Li
Guangluan Xu
Xiaoyu Li
Xian Sun
+ Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs 2023 Jin Li
Qirong Zhang
Shuling Xu
Xinlong Chen
Longkun Guo
Yang-Geng Fu
+ PDF Chat Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs 2021 Tingtian Li
Zixun Sun
Haoruo Zhang
Jin Li
Ziming Wu
Hui Zhan
Yipeng Yu
Hengcan Shi
+ PDF Chat Dynamic Origin–Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter 2020 Xi Xiong
Kaan Özbay
Jin Li
Chen Feng
+ Dynamic Prediction of Origin-Destination Flows Using Fusion Line Graph Convolutional Networks. 2019 Xi Xiong
Kaan Özbay
Jin Li
Chen Feng
+ Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter 2019 Xi Xiong
Kaan Özbay
Jin Li
Chen Feng
+ PDF Chat Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations 2018 Jiang Lu
Jin Li
Ziang Yan
Fenghua Mei
Changshui Zhang
+ PDF Chat Dynamics of stochastic modified Boussinesq approximation equation driven by fractional Brownian motion 2014 Jianhua Huang
Jin Li
Tianlong Shen
+ Dynamics of stochastic non-Newtonian fluids driven by fractional Brownian motion with Hurst parameter $$H \in \left( {\tfrac{1} {4},\tfrac{1} {2}} \right)$$ 2013 Jin Li
Jianhua Huang
+ Automatic differentiation for reduced sequential quadratic programming 2007 Liao Liang-cai
Jin Li
+ PDF Chat Module-oriented automatic differentiation in nonlinear control 2006 Jin Li
Yuejin Tan
Liao Liang-cai
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting 2018 Bing Yu
Haoteng Yin
Zhanxing Zhu
3
+ Pullback attractors for a non-autonomous incompressible non-Newtonian fluid 2007 Caidi Zhao
Shengfan Zhou
2
+ PDF Chat Stochastic evolution equations with fractional Brownian motion 2003 Samy Tindel
Ciprian A. Tudor
Frédéri Viens
2
+ PDF Chat Semilinear Stochastic Equations in a Hilbert Space with a Fractional Brownian Motion 2009 T. E. Duncan
Bohdan Maslowski
B. Pasik‐Duncan
2
+ Dynamics of a 2D Stochastic non-Newtonian fluid driven by fractional Brownian motion 2012 Jin Li
Jianhua Huang
2
+ Regularization of a non-Newtonian system in an unbounded channel: Existence and uniqueness of solutions 2001 Frederick Bloom
Wenge Hao
2
+ Wavelets on graphs via spectral graph theory 2010 David K. Hammond
Pierre Vandergheynst
RĂ©mi Gribonval
2
+ A maximum likelihood model for estimating origin-destination matrices 1987 Heinz Spiess
2
+ Ergodicity for Infinite Dimensional Systems 1996 Giuseppe Da Prato
Jerzy Zabczyk
2
+ Efficient Calculation of Sparse Jacobians 1999 John Tolsma
Paul I. Barton
1
+ None 1999 Laurent Decreusefond
Ali SĂŒleyman ÜstĂŒnel
1
+ On the Stochastic Korteweg–de Vries Equation 1998 Anne de Bouard
Arnaud Debussche
1
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
1
+ PDF Chat Eigenvalues of the Stokes operator versus the Dirichlet Laplacian in the plane 2010 James P. Kelliher
1
+ The convergence of non-Newtonian fluids to Navier–Stokes equations 2009 Boling Guo
Chunxiao Guo
1
+ PDF Chat Attractors for random dynamical systems 1994 Hans Crauel
Franco Flandoli
1
+ Recent improvements to a multiplier-free reduced Hessian successive quadratic programming algorithm 1998 David Ternet
Lorenz T. Biegler
1
+ 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
1
+ Module-oriented automatic differentiation in chemical process systems optimization 2004 Xiang Li
Zhijiang Shao
Jixin Qian
1
+ 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
1
+ PDF Chat Transductive Multi-View Zero-Shot Learning 2015 Yanwei Fu
Timothy M. Hospedales
Tao Xiang
Shaogang Gong
1
+ PDF Chat A Reduced Hessian Method for Large-Scale Constrained Optimization 1995 Lorenz T. Biegler
Jorge Nocedal
Claudia Schmid
1
+ PDF Chat STOCHASTIC DYNAMICS OF A COUPLED ATMOSPHERE–OCEAN MODEL 2002 Jinqiao Duan
HONGJUNG GAO
Björn Schmalfuß
1
+ PDF Chat Label-Embedding for Image Classification 2015 Zeynep Akata
Florent Perronnin
ZaĂŻd Harchaoui
Cordelia Schmid
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems 2016 Martı́n Abadi
Ashish Agarwal
Paul Barham
Eugene Brevdo
Zhifeng Chen
Craig Citro
Gregory S. Corrado
Andy Davis
Jay B. Dean
Matthieu Devin
1
+ PDF Chat Perceptual Losses for Real-Time Style Transfer and Super-Resolution 2016 Justin Johnson
Alexandre Alahi
Li Fei-Fei
1
+ PDF Chat Zero-Shot Learning via Joint Latent Similarity Embedding 2016 Ziming Zhang
Venkatesh Saligrama
1
+ Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling 2016 Maxime Bucher
Stéphane Herbin
Frédéric Jurie
1
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
1
+ PDF Chat CNN architectures for large-scale audio classification 2017 Shawn Hershey
Sourish Chaudhuri
Daniel P. W. Ellis
Jort F. Gemmeke
Aren Jansen
Robert C. Moore
Manoj Plakal
Devin Platt
Rif A. Saurous
Bryan Seybold
1
+ PDF Chat What is the best way for extracting meaningful attributes from pictures? 2016 Liangchen Liu
Arnold Wiliem
Shaokang Chen
Brian C. Lovell
1
+ Automatic Differentiation 2011 1
+ Relational inductive biases, deep learning, and graph networks 2018 Peter Battaglia
Jessica B. Hamrick
Victor Bapst
Álvaro Sánchez‐González
VinĂ­cius Zambaldi
Mateusz Malinowski
Andrea Tacchetti
David Raposo
Adam Santoro
Ryan Faulkner
1
+ Throughput-Improving Control of Highways Facing Stochastic Perturbations 2018 Li Jin
Alexander A. Kurzhanskiy
Saurabh Amin
1
+ Zero Shot Recognition with Unreliable Attributes 2014 Dinesh Jayaraman
Kristen Grauman
1
+ Gated Graph Sequence Neural Networks 2015 Yujia Li
Daniel Tarlow
Marc Brockschmidt
Richard S. Zemel
1
+ Latent Embeddings for Zero-shot Classification 2016 Yongqin Xian
Zeynep Akata
Gaurav Sharma
Quynh Nguyen
Matthias Hein
Bernt Schiele
1
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
1
+ PDF Chat Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network 2017 Christian Ledig
Lucas Theis
Ferenc HuszĂĄr
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
1
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
1
+ PDF Chat SlowFast Networks for Video Recognition 2019 Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
1
+ Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval 2020 Xun Yang
Jianfeng Dong
Yixin Cao
Xun Wang
Meng Wang
Tat‐Seng Chua
1
+ PDF Chat Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks 2020 Tingtian Li
Yuk‐Hee Chan
Daniel Pak-Kong Lun
1
+ PDF Chat Evaluation of output embeddings for fine-grained image classification 2015 Zeynep Akata
Scott Reed
Daniel Walter
Honglak Lee
Bernt Schiele
1
+ Stochastic Evolution Equations 2007 Н. В. ĐšŃ€Ń‹Đ»ĐŸĐČ
B. L. RozovskiÄ­
1
+ Random Dynamical Systems 1998 Ludwig Arnold
1
+ The Elements of Statistical Learning 2009 1