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Multi-Modal Multi-Instance Learning for Retinal Disease Recognition


Sep 25, 2021
Xirong Li, Yang Zhou, Jie Wang, Hailan Lin, Jianchun Zhao, Dayong Ding, Weihong Yu, Youxin Chen

* Accepted by ACM Multimedia 2021 (Main Track) 

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Sinkhorn Distributionally Robust Optimization


Sep 24, 2021
Jie Wang, Rui Gao, Yao Xie

* 34 pages, 2 figures 

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XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021


Sep 06, 2021
Jie Wang, Fuchuang Tong, Zhicong Chen, Lin Li, Qingyang Hong, Haodong Zhou


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Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021


Jul 12, 2021
Jianyu Cai, Jiajun Chen, Taoxing Pan, Zhanqiu Zhang, Jie Wang


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Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems


May 27, 2021
Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lu, Jia Zeng


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Unsupervised Domain Expansion for Visual Categorization


Apr 01, 2021
Jie Wang, Kaibin Tian, Dayong Ding, Gang Yang, Xirong Li

* accepted as regular paper by ACM Transactions on Multimedia Computing Communications and Applications (TOMM). Project URL https://github.com/li-xirong/ude 

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Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking


Mar 24, 2021
Ning Wang, Wengang Zhou, Jie Wang, Houqaing Li

* To appear in CVPR 2021 (Oral) 

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Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs


Mar 05, 2021
Jiajun Chen, Huarui He, Feng Wu, Jie Wang

* Accepted to AAAI 2021 

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Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning


Mar 04, 2021
Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, Qingwen Lin, Haidi Yang


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On Explainability of Graph Neural Networks via Subgraph Explorations


Feb 09, 2021
Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji


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Adversarially learning disentangled speech representations for robust multi-factor voice conversion


Jan 30, 2021
Jie Wang, Jingbei Li, Xintao Zhao, Zhiyong Wu, Helen Meng


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UNIT: Unifying Tensorized Instruction Compilation


Jan 21, 2021
Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki

* 13 pages, 13 figures, and 1 table 

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PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack


Jan 19, 2021
Jie Wang, Zhaoxia Yin, Jin Tang, Jing Jiang, Bin Luo


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Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization


Jan 19, 2021
Jie Wang, Zhaoxia Yin, Jing Jiang, Yang Du


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Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion


Nov 11, 2020
Zhanqiu Zhang, Jianyu Cai, Jie Wang

* Accepted to NeurIPS 2020 

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Fast Hybrid Cascade for Voxel-based 3D Object Classification


Nov 09, 2020
Hui Cao, Jie Wang, Yuqi Liu, Siyu Zhang, Shen Cai


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Reliable Off-policy Evaluation for Reinforcement Learning


Nov 08, 2020
Jie Wang, Rui Gao, Hongyuan Zha

* 36 pages, 4 figures 

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Generating Adequate Distractors for Multiple-Choice Questions


Oct 23, 2020
Cheng Zhang, Yicheng Sun, Hejia Chen, Jie Wang


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Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality


Oct 22, 2020
Jie Wang, Rui Gao, Yao Xie

* 16 pages, 5 figures. Submitted to AISTATS 2021 

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Line Graph Neural Networks for Link Prediction


Oct 20, 2020
Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji


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Meta Sequence Learning and Its Applications


Oct 04, 2020
Cheng Zhang, Jie Wang


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An Intuitive Tutorial to Gaussian Processes Regression


Sep 25, 2020
Jie Wang

* 15 pages, 12 figures 

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A Variational Formula for Rényi Divergences


Jul 07, 2020
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang

* 11 pages, 2 figures 

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DcardNet: Diabetic Retinopathy Classification at Multiple Depths Based on Structural and Angiographic Optical Coherence Tomography


Jun 09, 2020
Pengxiao Zang, Liqin Gao, Tristan T. Hormel, Jie Wang, Qisheng You, Thomas S. Hwang, Yali Jia

* Submitted to IEEE Transactions on Biomedical Engineering 

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Automated segmentation of retinal fluid volumes from structural and angiographic optical coherence tomography using deep learning


Jun 03, 2020
Yukun Guo, Tristan T. Hormel, Honglian Xiong, Jie Wang, Thomas S. Hwang, Yali Jia


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Review of Text Style Transfer Based on Deep Learning


May 12, 2020
Xiangyang Li, Guo Pu, Keyu Ming, Pu Li, Jie Wang, Yuxuan Wang


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Review of text style transfer based on deep learning


May 06, 2020
Xiangyang Li, Guo Pu, Keyu Ming, Pu Li, Jie Wang, Yuxuan Wang, Sujian Li


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An Unsupervised Semantic Sentence Ranking Scheme for Text Documents


Apr 28, 2020
Hao Zhang, Jie Wang

* To appear in Integrated Computer-Aided Engineering (ICAE) 

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Baryon acoustic oscillations reconstruction using convolutional neural networks


Feb 24, 2020
Tian-Xiang Mao, Jie Wang, Baojiu Li, Yan-Chuan Cai, Bridget Falck, Mark Neyrinck, Alex Szalay


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Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction


Dec 25, 2019
Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang

* Accepted to AAAI 2020 

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