Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Xin Liu

Xin Liu

ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities


Apr 05, 2021
Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang, Yangqiu Song

Figure 1 for ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
Figure 2 for ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
Figure 3 for ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
Figure 4 for ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities

  Access Paper or Ask Questions

Learning to Filter: Siamese Relation Network for Robust Tracking


Apr 02, 2021
Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang

Figure 1 for Learning to Filter: Siamese Relation Network for Robust Tracking
Figure 2 for Learning to Filter: Siamese Relation Network for Robust Tracking
Figure 3 for Learning to Filter: Siamese Relation Network for Robust Tracking
Figure 4 for Learning to Filter: Siamese Relation Network for Robust Tracking

  Access Paper or Ask Questions

Balanced Softmax Cross-Entropy for Incremental Learning


Mar 31, 2021
Quentin Jodelet, Xin Liu, Tsuyoshi Murata

Figure 1 for Balanced Softmax Cross-Entropy for Incremental Learning
Figure 2 for Balanced Softmax Cross-Entropy for Incremental Learning
Figure 3 for Balanced Softmax Cross-Entropy for Incremental Learning
Figure 4 for Balanced Softmax Cross-Entropy for Incremental Learning

  Access Paper or Ask Questions

An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence


Mar 29, 2021
Rex Liu, Albara Ah Ramli, Huanle Zhang, Esha Datta, Xin Liu

Figure 1 for An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
Figure 2 for An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
Figure 3 for An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
Figure 4 for An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence

  Access Paper or Ask Questions

No frame left behind: Full Video Action Recognition


Mar 29, 2021
Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert

Figure 1 for No frame left behind: Full Video Action Recognition
Figure 2 for No frame left behind: Full Video Action Recognition
Figure 3 for No frame left behind: Full Video Action Recognition
Figure 4 for No frame left behind: Full Video Action Recognition
* Accepted to CVPR 2021 
  Access Paper or Ask Questions

Sampling methods for efficient training of graph convolutional networks: A survey


Mar 10, 2021
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan

Figure 1 for Sampling methods for efficient training of graph convolutional networks: A survey
Figure 2 for Sampling methods for efficient training of graph convolutional networks: A survey
Figure 3 for Sampling methods for efficient training of graph convolutional networks: A survey
Figure 4 for Sampling methods for efficient training of graph convolutional networks: A survey
* 39 pages, 5 figures, 10 tables 
  Access Paper or Ask Questions

Deep Manifold Learning for Dynamic MR Imaging


Mar 09, 2021
Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang

Figure 1 for Deep Manifold Learning for Dynamic MR Imaging
Figure 2 for Deep Manifold Learning for Dynamic MR Imaging
Figure 3 for Deep Manifold Learning for Dynamic MR Imaging
Figure 4 for Deep Manifold Learning for Dynamic MR Imaging
* 17 pages, 7 figures 
  Access Paper or Ask Questions

DST: Data Selection and joint Training for Learning with Noisy Labels


Mar 01, 2021
Yi Wei, Xue Mei, Xin Liu, Pengxiang Xu

Figure 1 for DST: Data Selection and joint Training for Learning with Noisy Labels
Figure 2 for DST: Data Selection and joint Training for Learning with Noisy Labels
Figure 3 for DST: Data Selection and joint Training for Learning with Noisy Labels
Figure 4 for DST: Data Selection and joint Training for Learning with Noisy Labels

  Access Paper or Ask Questions

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans


Feb 12, 2021
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

Figure 1 for Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
Figure 2 for Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
Figure 3 for Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
Figure 4 for Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
* Accepted by AAAI 2021, COVID-19, Neural Architecture Search, AutoML 
  Access Paper or Ask Questions

An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits


Feb 10, 2021
Xin Liu, Bin Li, Pengyi Shi, Lei Ying

Figure 1 for An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits
Figure 2 for An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits

  Access Paper or Ask Questions

Learning adaptive differential evolution algorithm from optimization experiences by policy gradient


Feb 06, 2021
Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu

Figure 1 for Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Figure 2 for Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Figure 3 for Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Figure 4 for Learning adaptive differential evolution algorithm from optimization experiences by policy gradient

  Access Paper or Ask Questions

Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and Cognitive Radio


Jan 27, 2021
Xin Liu, Kwok-Yan Lam, Feng Li, Jun Zhao, Li Wang

Figure 1 for Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and Cognitive Radio
Figure 2 for Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and Cognitive Radio
Figure 3 for Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and Cognitive Radio
Figure 4 for Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and Cognitive Radio

  Access Paper or Ask Questions

SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices


Jan 20, 2021
Xin Liu, Yuang Li, Josh Fromm, Yuntao Wang, Ziheng Jiang, Alex Mariakakis, Shwetak Patel

Figure 1 for SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
Figure 2 for SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
Figure 3 for SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
Figure 4 for SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices

  Access Paper or Ask Questions

Generalized Image Reconstruction over T-Algebra


Jan 20, 2021
Liang Liao, Xuechun Zhang, Xinqiang Wang, Sen Lin, Xin Liu

Figure 1 for Generalized Image Reconstruction over T-Algebra
Figure 2 for Generalized Image Reconstruction over T-Algebra
Figure 3 for Generalized Image Reconstruction over T-Algebra
Figure 4 for Generalized Image Reconstruction over T-Algebra
* 6 pages, 4 figures, 3 tables 
  Access Paper or Ask Questions

An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation


Jan 10, 2021
Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu

Figure 1 for An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Figure 2 for An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Figure 3 for An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Figure 4 for An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
* 22 pages, 16 figures 
  Access Paper or Ask Questions

OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space


Jan 07, 2021
Sungkwon An, Jeonghoon Kim, Myungjoo Kang, Shahbaz Razaei, Xin Liu

Figure 1 for OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
Figure 2 for OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
Figure 3 for OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
Figure 4 for OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
* Accepted to AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning 
  Access Paper or Ask Questions

AIDE: Annotation-efficient deep learning for automatic medical image segmentation


Dec 14, 2020
Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang

Figure 1 for AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Figure 2 for AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Figure 3 for AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Figure 4 for AIDE: Annotation-efficient deep learning for automatic medical image segmentation

  Access Paper or Ask Questions

AGNet: Weighing Black Holes with Machine Learning


Dec 01, 2020
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind

Figure 1 for AGNet: Weighing Black Holes with Machine Learning
Figure 2 for AGNet: Weighing Black Holes with Machine Learning
Figure 3 for AGNet: Weighing Black Holes with Machine Learning
Figure 4 for AGNet: Weighing Black Holes with Machine Learning
* 5 pages, 3 figures, 1 table. Accepted to the Machine Learning and the Physical Sciences Workshop at NeurIPS 2020 
  Access Paper or Ask Questions

Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning


Nov 27, 2020
Kehan Qi, Yu Gong, Xinfeng Liu, Xin Liu, Hairong Zheng, Shanshan Wang

Figure 1 for Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Figure 2 for Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Figure 3 for Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Figure 4 for Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning

  Access Paper or Ask Questions

AIM 2020 Challenge on Learned Image Signal Processing Pipeline


Nov 10, 2020
Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tan, Bingxin Hou

Figure 1 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Figure 2 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Figure 3 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Figure 4 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
* Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 
  Access Paper or Ask Questions

Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning


Nov 08, 2020
Nader Bouacida, Jiahui Hou, Hui Zang, Xin Liu

Figure 1 for Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Figure 2 for Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Figure 3 for Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Figure 4 for Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning

  Access Paper or Ask Questions

Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility


Oct 28, 2020
Yuanjie Li, Esha Datta, Jiaxin Ding, Ness Shroff, Xin Liu

Figure 1 for Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility
Figure 2 for Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility
Figure 3 for Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility
Figure 4 for Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility

  Access Paper or Ask Questions

AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?


Oct 28, 2020
Jun Ma, Yao Zhang, Song Gu, Yichi Zhang, Cheng Zhu, Qiyuan Wang, Xin Liu, Xingle An, Cheng Ge, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Congcong Wang, Jian He, Xiaoping Yang

Figure 1 for AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Figure 2 for AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Figure 3 for AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Figure 4 for AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
* 18 pages 
  Access Paper or Ask Questions

Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars


Oct 24, 2020
Daniel McDuff, Javier Hernandez, Erroll Wood, Xin Liu, Tadas Baltrusaitis

Figure 1 for Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Figure 2 for Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Figure 3 for Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Figure 4 for Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars

  Access Paper or Ask Questions

POND: Pessimistic-Optimistic oNline Dispatch


Oct 20, 2020
Xin Liu, Bin Li, Pengyi Shi, Lei Ying

Figure 1 for POND: Pessimistic-Optimistic oNline Dispatch
Figure 2 for POND: Pessimistic-Optimistic oNline Dispatch
Figure 3 for POND: Pessimistic-Optimistic oNline Dispatch
Figure 4 for POND: Pessimistic-Optimistic oNline Dispatch

  Access Paper or Ask Questions

WeightAlign: Normalizing Activations by Weight Alignment


Oct 14, 2020
Xiangwei Shi, Yunqiang Li, Xin Liu, Jan van Gemert

Figure 1 for WeightAlign: Normalizing Activations by Weight Alignment
Figure 2 for WeightAlign: Normalizing Activations by Weight Alignment
Figure 3 for WeightAlign: Normalizing Activations by Weight Alignment
Figure 4 for WeightAlign: Normalizing Activations by Weight Alignment
* The first three authors contributed equally; accepted by ICPR 2020 
  Access Paper or Ask Questions

MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement


Oct 05, 2020
Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak Patel, Daniel McDuff

Figure 1 for MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement
Figure 2 for MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement
Figure 3 for MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement
Figure 4 for MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement

  Access Paper or Ask Questions

ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference


Sep 19, 2020
Zhihang Yuan, Xin Liu, Bingzhe Wu, Guangyu Sun

Figure 1 for ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference
Figure 2 for ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference
Figure 3 for ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference
Figure 4 for ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference
* 6 figures 
  Access Paper or Ask Questions