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2020 – today
- 2024
[j6]Tingpeng Yang
, Tianze Ling, Boyan Sun, Zhendong Liang, Fan Xu, Xiansong Huang, Linhai Xie, Yonghong He, Leyuan Li, Fuchu He, Yu Wang, Cheng Chang:
Introducing π-HelixNovo for practical large-scale de novo peptide sequencing. Briefings Bioinform. 25(2) (2024)- [j5]Yuejun Tan, Linhai Xie, Hong Yang, Qingyuan Zhang, Jinyuan Luo, Yanchun Zhang:
BioDSNN: a dual-stream neural network with hybrid biological knowledge integration for multi-gene perturbation response prediction. Briefings Bioinform. 26(1) (2024) - [j4]Wen Shi, Hong Yang, Linhai Xie, Xiao-Xia Yin, Yanchun Zhang:
A review of machine learning-based methods for predicting drug-target interactions. Health Inf. Sci. Syst. 12(1): 30 (2024) - [j3]Yilei Man, Linhai Xie, Shushan Qiao, Yumei Zhou, Delong Shang:
Differentiable architecture search with multi-dimensional attention for spiking neural networks. Neurocomputing 601: 128181 (2024) - [c11]Linhai Xie, Yilei Man, Delong Shang:
Multiscale Residual Network with Dynamic Depthwise Convolution for Multi-label 12-Lead ECG Classification. IJCNN 2024: 1-8 - [i10]Yilei Man, Linhai Xie, Shushan Qiao, Yumei Zhou, Delong Shang:
Differentiable architecture search with multi-dimensional attention for spiking neural networks. CoRR abs/2411.00902 (2024) - [i9]Ning Ding, Shang Qu, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou:
Automating Exploratory Proteomics Research via Language Models. CoRR abs/2411.03743 (2024) - 2023
- [c10]Wen Shi, Dandan Peng, Jinyuan Luo, Guozhu Chen, Hong Yang, Linhai Xie, Xiao-Xia Yin, Yanchun Zhang:
A Review on Predicting Drug Target Interactions Based on Machine Learning. HIS 2023: 283-295 - [c9]Jinyuan Luo, Zikai Xiao, Wen Shi, Linhai Xie, Hong Yang, Xiaoxia Yin, Yanchun Zhang:
CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis. ICDM 2023: 458-467 - 2022
- [j2]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8338-8354 (2022) - 2021
- [j1]Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning With Stochastic Guidance for Robot Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 166-176 (2021) - [i8]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. CoRR abs/2107.02389 (2021) - 2020
- [c8]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CVPR 2020: 11105-11114 - [c7]Linhai Xie, Andrew Markham, Niki Trigoni:
SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference. ICRA 2020: 1682-1688 - [c6]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Changhao Chen, Linhai Xie, Mengyu Wang, Niki Trigoni, Andrew Markham:
Heart Rate Sensing with a Robot Mounted mmWave Radar. ICRA 2020: 2812-2818 - [i7]Yujie Zhong, Linhai Xie, Sen Wang, Lucia Specia, Yishu Miao:
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision. CoRR abs/2011.09634 (2020)
2010 – 2019
- 2019
- [c5]Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni:
MotionTransformer: Transferring Neural Inertial Tracking between Domains. AAAI 2019: 8009-8016 - [i6]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CoRR abs/1911.11236 (2019) - 2018
- [c4]Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks. ICRA 2018: 2440-2447 - [c3]Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni:
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning. ICRA 2018: 6276-6283 - [c2]Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Changhao Chen, Linhai Xie, Hongkai Wen, Rui Tan, Niki Trigoni:
Simultaneous Localization and Mapping with Power Network Electromagnetic Field. MobiCom 2018: 607-622 - [i5]Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
Defo-Net: Learning Body Deformation using Generative Adversarial Networks. CoRR abs/1804.05928 (2018) - [i4]Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni:
Neural Allocentric Intuitive Physics Prediction from Real Videos. CoRR abs/1809.03330 (2018) - [i3]Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning with Stochastic Guidance for Navigation. CoRR abs/1811.10756 (2018) - [i2]Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni:
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning. CoRR abs/1812.05027 (2018) - 2017
- [c1]Linhai Xie, Sen Wang, Andrew Markham, Niki Trigoni:
GraphTinker: Outlier rejection and inlier injection for pose graph SLAM. IROS 2017: 6777-6784 - [i1]Linhai Xie, Sen Wang, Andrew Markham, Niki Trigoni:
Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning. CoRR abs/1706.09829 (2017)
Coauthor Index
aka: Niki Trigoni
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