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Ying Zhang

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders


Aug 15, 2021
Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao

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Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition


Jul 22, 2021
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

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* 9 pages, ACL21 Findings 
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Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function


Jul 19, 2021
Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang

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Animatable Neural Radiance Fields from Monocular RGB Video


Jun 25, 2021
Jianchuan Chen, Ying Zhang, Di Kang, Xuefei Zhe, Linchao Bao, Huchuan Lu

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* 9 pages, 9 figures 
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Model-based 3D Hand Reconstruction via Self-Supervised Learning


Mar 22, 2021
Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, Junsong Yuan

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* Accepted by CVPR21 
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Similarity Reasoning and Filtration for Image-Text Matching


Jan 05, 2021
Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu

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* 14 pages, 8 figures, Accepted by AAAI2021 
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Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation


Dec 09, 2020
Yunlong Liang, Fandong Meng, Ying Zhang, Jinan Xu, Yufeng Chen, Jie Zhou

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* Accepted at AAAI 2021, Code:https://github.com/XL2248/HGNN 
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SF-GRASS: Solver-Free Graph Spectral Sparsification


Aug 17, 2020
Ying Zhang, Zhiqiang Zhao, Zhuo Feng

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Consensus-Aware Visual-Semantic Embedding for Image-Text Matching


Jul 17, 2020
Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma

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* Accepted by ECCV 2020, Code is publicly available at: https://github.com/BruceW91/CVSE 
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GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions


May 12, 2020
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin

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* Accepted by IJCAI 2020 
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Binarized Graph Neural Network


Apr 19, 2020
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin

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Machine learning on DNA-encoded libraries: A new paradigm for hit-finding


Jan 31, 2020
Kevin McCloskey, Eric A. Sigel, Steven Kearnes, Ling Xue, Xia Tian, Dennis Moccia, Diana Gikunju, Sana Bazzaz, Betty Chan, Matthew A. Clark, John W. Cuozzo, Marie-Aude Guié, John P. Guilinger, Christelle Huguet, Christopher D. Hupp, Anthony D. Keefe, Christopher J. Mulhern, Ying Zhang, Patrick Riley

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Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization


Oct 17, 2019
Ying Zhang, Ömer Deniz Akyildiz, Theodoros Damoulas, Sotirios Sabanis

* 19 pages 
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Task-Oriented Conversation Generation Using Heterogeneous Memory Networks


Sep 25, 2019
Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Ying Zhang

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* Accepted as a long paper at EMNLP-IJCNLP 2019 
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Improving Captioning for Low-Resource Languages by Cycle Consistency


Aug 21, 2019
Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su

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* Published in ICME 2019 
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On stochastic gradient Langevin dynamics with dependent data streams: the fully non-convex case


May 30, 2019
Ngoc Huy Chau, Éric Moulines, Miklos Rásonyi, Sotirios Sabanis, Ying Zhang


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Voiceprint recognition of Parkinson patients based on deep learning


Dec 17, 2018
Zhijing Xu, Juan Wang, Ying Zhang, Xiangjian He

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* 10 pages,4 figures 
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Fashion-Gen: The Generative Fashion Dataset and Challenge


Jul 30, 2018
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal

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Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition


Jun 20, 2018
Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges Linarès, Renato De Mori, Yoshua Bengio

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* Accepted at INTERSPEECH 2018 
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Medical Concept Embedding with Time-Aware Attention


Jun 06, 2018
Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan

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* 7 pages. IJCAI-ECAI-2018 
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Online Product Quantization


Mar 24, 2018
Donna Xu, Ivor W. Tsang, Ying Zhang

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* To appear in IEEE Transactions on Knowledge and Data Engineering (DOI: 10.1109/TKDE.2018.2817526) 
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IDEL: In-Database Entity Linking with Neural Embeddings


Mar 13, 2018
Torsten Kilias, Alexander Löser, Felix A. Gers, Richard Koopmanschap, Ying Zhang, Martin Kersten

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* This manuscript is a preprint for a paper submitted to VLDB2018 
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Deep Complex Networks


Feb 25, 2018
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J Pal

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FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe


Oct 26, 2017
Alessandro Checco, Gianluca Demartini, Alexander Loeser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinov, Martin Kersten, Ying Zhang

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Deep Mutual Learning


Jun 01, 2017
Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu

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* 10 pages, 4 figures 
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Fully Distributed and Asynchronized Stochastic Gradient Descent for Networked Systems


Apr 13, 2017
Ying Zhang

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Recurrent Neural Networks With Limited Numerical Precision


Feb 26, 2017
Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio

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* NIPS 2016 EMDNN Workshop paper, condensed version of arXiv:1608.06902 
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Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks


Jan 10, 2017
Ying Zhang, Mohammad Pezeshki, Philemon Brakel, Saizheng Zhang, Cesar Laurent Yoshua Bengio, Aaron Courville

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