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Peng Liu

Alzheimer's Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study of ageing

Circuit design and integration feasibility of a high-resolution broadband on-chip spectral monitor


Aug 12, 2021
Mehedi Hasan, Gazi Mahamud Hasan, Houman Ghorbani, Mohammad Rad, Peng Liu, Eric Bernier, Trevor Hall

* 17 pages, 13 figures 

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An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization


Jul 28, 2021
Fan Zhang, Bo Pan, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu


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Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features


Jul 19, 2021
Hui Liu, Bo Zhao, Yuefeng Peng, Jiabao Guo, Peng Liu


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DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism


May 30, 2021
Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Peng Liu, Zhou Zhao

* acoustic model, singing voice synthesis, text to speech, diffusion model, shallow diffusion 

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Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection


May 19, 2021
Cangning Fan, Fangyi Zhang, Peng Liu, Xiuyu Sun, Hao Li, Ting Xiao, Wei Zhao, Xianglong Tang


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Principled Exploration via Optimistic Bootstrapping and Backward Induction


May 17, 2021
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

* ICML 2021 

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DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis


May 06, 2021
Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Peng Liu, Zhou Zhao

* Acoustic Model; Shallow Diffusion Mechanism 

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VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention


Feb 12, 2021
Peng Liu, Yuewen Cao, Songxiang Liu, Na Hu, Guangzhi Li, Chao Weng, Dan Su


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Security and Privacy for Artificial Intelligence: Opportunities and Challenges


Feb 09, 2021
Ayodeji Oseni, Nour Moustafa, Helge Janicke, Peng Liu, Zahir Tari, Athanasios Vasilakos


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Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification


Feb 02, 2021
Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu


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From Model-driven to Data-driven: A Survey on Active Deep Learning


Jan 25, 2021
Peng Liu, Guojin He, Lei Zhao


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Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification


Jan 07, 2021
Shuwei Shen, Mengjuan Xu, Fan Zhang, Pengfei Shao, Honghong Liu, Liang Xu, Chi Zhang, Peng Liu, Zhihong Zhang, Peng Yao, Ronald X. Xu

* 8 pages, 5 figures 

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Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder


Dec 27, 2020
Lun-Pin Yuan, Peng Liu, Sencun Zhu


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3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics


Nov 18, 2020
Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Cao Li, Zengqi Xun, Chengyue Sun, Yiyun Fei, Yu Zheng, Ying Li, Yi Liu, Peng Liu, Lin Ma, Le Weng, Xiaohang Hu, Xin Ma, Qian Qian, Rongfei Jia, Binqiang Zhao, Hao Zhang

* Project page: https://tianchi.aliyun.com/specials/promotion/alibaba-3d-scene-dataset 

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GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks


Oct 24, 2020
Hui Liu, Bo Zhao, Jiabao Guo, Yang An, Peng Liu


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Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning


Oct 17, 2020
Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao

* associated videos at https://sites.google.com/view/exploration-vdm 

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Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection


Sep 11, 2020
Lan Zhang, Peng Liu, Yoon-Ho Choi


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Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews


Sep 09, 2020
Ying Chen, Peng Liu, Chung Piaw Teo


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Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams


Jun 20, 2020
Huirong Huang, Zhiyong Wu, Shiyin Kang, Dongyang Dai, Jia Jia, Tianxiao Fu, Deyi Tuo, Guangzhi Lei, Peng Liu, Dan Su, Dong Yu, Helen Meng

* 5 pages, 5 figures 

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Towards classification parity across cohorts


May 16, 2020
Aarsh Patel, Rahul Gupta, Mukund Harakere, Satyapriya Krishna, Aman Alok, Peng Liu

* Published in ML-IRL ICLR 2020 workshop 

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Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection


Jan 06, 2020
Peng Liu, Ruogu Fang

* MICCAI 2018 workshop challenge 

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KRNET: Image Denoising with Kernel Regulation Network


Oct 20, 2019
Peng Liu, Xiaoxiao Zhou, Junyiyang Li, El Basha Mohammad D, Ruogu Fang


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Image Restoration Using Deep Regulated Convolutional Networks


Oct 19, 2019
Peng Liu, Xiaoxiao Zhou, Junyi Yang, El Basha Mohammad D, Ruogu Fang


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SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion


Oct 18, 2019
Peng Liu, Ruogu Fang

* The IEEE International Symposium on Biomedical Imaging (ISBI 2018) 

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CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation


Oct 16, 2019
Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang

* the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019) 

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REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs


Oct 08, 2019
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, JoonHo Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yongli Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Xiulan Zhang, Hrvoje Bogunović

* Accepted for publication in Medical Image Analysis 

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DurIAN: Duration Informed Attention Network For Multimodal Synthesis


Sep 05, 2019
Chengzhu Yu, Heng Lu, Na Hu, Meng Yu, Chao Weng, Kun Xu, Peng Liu, Deyi Tuo, Shiyin Kang, Guangzhi Lei, Dan Su, Dong Yu


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