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Peng Liu

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

Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection


Jan 07, 2022
Hui Liu, Bo Zhao, Yuefeng Peng, Weidong Li, Peng Liu


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Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix


Dec 21, 2021
Peng Liu

* 10 pages 

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Dynamic Bottleneck for Robust Self-Supervised Exploration


Oct 25, 2021
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

* NeurIPS 2021 

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MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection


Oct 07, 2021
Kailai Sun, Xiaoteng Ma, Qianchuan Zhao, Peng Liu


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CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation


Oct 05, 2021
Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang

* arXiv admin note: text overlap with arXiv:1910.07638 

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Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder


Sep 30, 2021
Zichuan Chen, Peng Liu


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Exploration in Deep Reinforcement Learning: A Comprehensive Survey


Sep 15, 2021
Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu

* Repolishment is made, revise some incorrect descriptions 

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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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