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ORCIDTianyi Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j27]Younan Zhao
, Peng Gu, Fanglai Zhu, Tianyi Liu, Runjie Shen:
Security control scheme for cyber-physical system with a complex network in physical layer against false data injection attacks. Appl. Math. Comput. 447: 127908 (2023)- [j26]Danyu Bai, Tianyi Liu, Yuchen Zhang, Tao Ren, Zhi-Hai Zhang, Zhiqiang Dong:
Scheduling non-permutation flowshop with finite buffers and two competitive agents. Comput. Ind. Eng. 177: 108939 (2023) - [j25]Wenqing Li, Tianyi Liu, Ziyuan Xiao, Han Qi, Weipu Zhu, Jian Wang:
TCADer: A Tightly Coupled Accelerator Design framework for heterogeneous system with hardware/software co-design. J. Syst. Archit. 136: 102822 (2023) - [i21]Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun:
Label Inference Attack against Split Learning under Regression Setting. CoRR abs/2301.07284 (2023) - 2022
- [j24]Tianyi Liu, Yusuke Sugano:
Interactive Machine Learning on Edge Devices With User-in-the-Loop Sample Recommendation. IEEE Access 10: 107346-107360 (2022) - [j23]Yingke Li, Tianyi Liu, Enlu Zhou, Fumin Zhang:
Bayesian Learning Model Predictive Control for Process-Aware Source Seeking. IEEE Control. Syst. Lett. 6: 692-697 (2022) - [j22]Maani Ghaffari, Ray Zhang, Minghan Zhu, Chien Erh Lin, Tzu-Yuan Lin, Sangli Teng, Tingjun Li, Tianyi Liu, Jingwei Song:
Progress in symmetry preserving robot perception and control through geometry and learning. Frontiers Robotics AI 9 (2022) - [j21]Xiangming Zhang, Fanglai Zhu, Jiancheng Zhang, Tianyi Liu:
Attack isolation and location for a complex network cyber-physical system via zonotope theory. Neurocomputing 469: 239-250 (2022) - [j20]Jiandian Zeng, Tianyi Liu, Weijia Jia, Jiantao Zhou:
Relation construction for aspect-level sentiment classification. Inf. Sci. 586: 209-223 (2022) - [j19]Tianyi Liu, Yan Wang, Xiaoji Niu, Le Chang, Tisheng Zhang, Jingnan Liu:
LiDAR Odometry by Deep Learning-Based Feature Points with Two-Step Pose Estimation. Remote. Sens. 14(12): 2764 (2022) - [j18]Tianyi Liu, Shuoyuan Wang, Yue Liu, Weiming Quan, Lei Zhang:
A lightweight neural network framework using linear grouped convolution for human activity recognition on mobile devices. J. Supercomput. 78(5): 6696-6716 (2022) - [j17]Tianyi Liu, Andreas M. Tillmann, Yang Yang, Yonina C. Eldar, Marius Pesavento:
Extended Successive Convex Approximation for Phase Retrieval With Dictionary Learning. IEEE Trans. Signal Process. 70: 6300-6315 (2022) - [c58]Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao:
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. AISTATS 2022: 2784-2802 - [c57]Tianyi Liu, Sen He, Vinodh Kumaran Jayakumar, Wei Wang:
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D. ECCV (38) 2022: 268-284 - [c56]Jiandian Zeng, Jiantao Zhou, Tianyi Liu:
Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities. EMNLP 2022: 2924-2934 - [c55]Yihan Zhou, Jiali Liu, Zekun Yang, Tianyi Liu, Xinyue Meng, Zhuocheng Zhou, Ali Anaissi, Ali Braytee:
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection. ICDM (Workshops) 2022: 1-9 - [c54]Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang:
Fourier Learning with Cyclical Data. ICML 2022: 25280-25301 - [c53]Jing Wu, Tianyi Liu, Wei Hu:
Document-Level Sentiment Analysis of Course Review Based on BG-Caps. ICPCSEE (2) 2022: 394-405 - [c52]Wei Zou, Rui Peng, Tianyi Liu:
Research of the Nonlinear Effect of Public Health Investment on High-quality Development from year of 2007 to 2017. IMMS 2022: 393-400 - [c51]Yihan Zhang, Chang Xue, Xiao Wang, Tianyi Liu, Jihang Gao, Peiyu Chen, Jinguang Liu, Linan Sun, Linxiao Shen, Jiayoon Ru, Le Ye, Ru Huang:
Single-Mode CMOS 6T-SRAM Macros With Keeper-Loading-Free Peripherals and Row-Separate Dynamic Body Bias Achieving 2.53fW/bit Leakage for AIoT Sensing Platforms. ISSCC 2022: 184-186 - [c50]Xinqi Du, Tianyi Liu, Songwei Zhao, Jiuman Song, Hechang Chen:
District-Coupled Epidemic Control via Deep Reinforcement Learning. KSEM (2) 2022: 417-428 - [c49]Songwei Zhao, Jiuman Song, Xinqi Du, Tianyi Liu, Huiling Chen, Hechang Chen:
Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization. KSEM (2) 2022: 457-468 - [c48]Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang:
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners. LAScarQS@MICCAI 2022: 36-48 - [c47]Jiandian Zeng, Tianyi Liu, Jiantao Zhou:
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities. SIGIR 2022: 1545-1554 - [c46]Gösta Grahne, Tianyi Liu, Nematollaah Shiri:
Universal provenance for regular path queries. TaPP 2022: 4:1-4:7 - [c45]Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang:
PathFlow: A normalizing flow generator that finds transition paths. UAI 2022: 1232-1242 - [c44]Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang:
Differentially private multi-party data release for linear regression. UAI 2022: 2128-2137 - [i20]Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao:
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. CoRR abs/2202.03535 (2022) - [i19]Jiandian Zeng, Tianyi Liu, Jiantao Zhou:
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities. CoRR abs/2204.13707 (2022) - [i18]Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang:
Differentially Private Multi-Party Data Release for Linear Regression. CoRR abs/2206.07998 (2022) - [i17]Simiao Zuo, Tianyi Liu, Tuo Zhao, Hongyuan Zha:
Differentially Private Estimation of Hawkes Process. CoRR abs/2209.07303 (2022) - [i16]Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang:
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners. CoRR abs/2210.05151 (2022) - 2021
- [j16]Tianyi Liu, Xiaoyan Ma, Fanglai Zhu, Maurice Fadel:
Reduced-Order Feedback Linearization for Independent Torque Control of a Dual Parallel-PMSM System. IEEE Access 9: 27405-27415 (2021) - [j15]Jiandian Zeng, Tianyi Liu, Weijia Jia, Jiantao Zhou:
Fine-grained Question-Answer sentiment classification with hierarchical graph attention network. Neurocomputing 457: 214-224 (2021) - [j14]Xinsong Zhang, Tianyi Liu, Pengshuai Li, Weijia Jia, Hai Zhao:
Robust Neural Relation Extraction via Multi-Granularity Noises Reduction. IEEE Trans. Knowl. Data Eng. 33(9): 3297-3310 (2021) - [j13]Jing Wu, Hong Guo, Yuan Wen, Wei Hu, Yining Li, Tianyi Liu, Xiaoming Liu:
Medical Big Data Analysis with Attention and Large Margin Loss Model for Skin Lesion Application. J. Signal Process. Syst. 93(7): 827-839 (2021) - [c43]Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao:
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. AISTATS 2021: 1891-1899 - [c42]Hong Guo, Tianyi Liu, Fang Liu, Yining Li, Wei Hu:
Chinese Text Classification Model Based On Bert And Capsule Network Structure. BigDataSecurity 2021: 105-110 - [c41]Jiaheng Zhang, Tianyi Liu, Weijie Wang, Yinuo Zhang, Dawn Song, Xiang Xie, Yupeng Zhang:
Doubly Efficient Interactive Proofs for General Arithmetic Circuits with Linear Prover Time. CCS 2021: 159-177 - [c40]Tianyi Liu, Xiang Xie, Yupeng Zhang:
zkCNN: Zero Knowledge Proofs for Convolutional Neural Network Predictions and Accuracy. CCS 2021: 2968-2985 - [c39]Xiangyu Lin, Tianyi Liu, Weijia Jia, Zhiguo Gong:
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning. EMNLP (1) 2021: 165-174 - [c38]Yuheng Song, Tianyi Liu, Weijia Jia:
Data Diversification Revisited: Why Does It Work? ICANN (3) 2021: 521-533 - [c37]Tianyi Liu, Andreas M. Tillmann, Yang Yang, Yonina C. Eldar, Marius Pesavento:
A Parallel Algorithm for Phase Retrieval with Dictionary Learning. ICASSP 2021: 5619-5623 - [c36]Dongshuo Zhao, Yudong Liu, Xiaojing Zhang, Tianyi Liu, Zhi Hu, Yiran Zheng:
The Business Structure of a Metrology Institution Based on Linear Regression Analysis. ICSAI 2021: 1-7 - [c35]Tianyi Liu, Wei Hu, Fang Liu, Yining Li:
Sentiment Analysis for MOOC Course Reviews. ICPCSEE (2) 2021: 78-87 - [c34]Xiaoyan Ma, Tianyi Liu, Rahim Kacimi, Riadh Dhaou, Song Liu:
Duration-aware Data Collection in UAV-aided Mobile Sensor Networks. IWCMC 2021: 394-399 - [c33]Sen He, Tianyi Liu, Palden Lama, Jaewoo Lee, In Kee Kim, Wei Wang:
Performance Testing for Cloud Computing with Dependent Data Bootstrapping. ASE 2021: 666-678 - [c32]Kele Huang, Fuxin Zhang, Cun Li, Gen Niu, Junrong Wu, Tianyi Liu:
BTMMU: an efficient and versatile cross-ISA memory virtualization. VEE 2021: 71-83 - [c31]Elba Garza, Gururaj Saileshwar, Udit Gupta, Tianyi Liu, Abdulrahman Mahmoud, Saugata Ghose, Joel S. Emer:
Mentoring Opportunities in Computer Architecture: Analyzing the Past to Develop the Future. WCAE 2021: 1-9 - [c30]Tianyi Liu, Yifan Lin, Enlu Zhou:
A Bayesian Approach to Online Simulation Optimization with Streaming Input Data. WSC 2021: 1-12 - [i15]Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao:
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. CoRR abs/2102.12430 (2021) - [i14]Alphonsus Adu-Bredu, Noah Del Coro, Tianyi Liu:
GODSAC*: Graph Optimized DSAC* for Robot Relocalization. CoRR abs/2105.00546 (2021) - [i13]Khaled Ardah, Martin Haardt, Tianyi Liu, Frederic Matter, Marius Pesavento, Marc E. Pfetsch:
Recovery under Side Constraints. CoRR abs/2106.09375 (2021) - [i12]Guojing Cong, Tianyi Liu:
Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum. CoRR abs/2110.00625 (2021) - [i11]Tianyi Liu, Zuxuan Wu, Wenhan Xiong, Jingjing Chen, Yu-Gang Jiang:
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation. CoRR abs/2112.05587 (2021) - [i10]Tianyi Liu, Xiang Xie, Yupeng Zhang:
zkCNN: Zero Knowledge Proofs for Convolutional Neural Network Predictions and Accuracy. IACR Cryptol. ePrint Arch. 2021: 673 (2021) - 2020
- [j12]Xinsong Zhang, Tianyi Liu, Weijia Jia, Pengshuai Li:
Fine-grained relation extraction with focal multi-task learning. Sci. China Inf. Sci. 63(1) (2020) - [j11]Ruohua Yan, Tianyi Liu, Yaguang Peng, XiaoXia Peng:
Can statistical adjustment guided by causal inference improve the accuracy of effect estimation? A simulation and empirical research based on meta-analyses of case-control studies. BMC Medical Informatics Decis. Mak. 20(1): 333 (2020) - [j10]Tianyi Liu, Ruyu Luo, Fangmin Xu, Chaoqiong Fan, Chenglin Zhao:
Distributed Learning Based Joint Communication and Computation Strategy of IoT Devices in Smart Cities. Sensors 20(4): 973 (2020) - [j9]Xiaoyan Ma, Tianyi Liu, Song Liu, Rahim Kacimi, Riadh Dhaou:
Priority-Based Data Collection for UAV-Aided Mobile Sensor Network. Sensors 20(11): 3034 (2020) - [j8]Le Chang, Xiaoji Niu, Tianyi Liu:
GNSS/IMU/ODO/LiDAR-SLAM Integrated Navigation System Using IMU/ODO Pre-Integration. Sensors 20(17): 4702 (2020) - [j7]Tianyi Liu, Le Chang, Xiaoji Niu, Jingnan Liu:
Pole-Like Object Extraction and Pole-Aided GNSS/IMU/LiDAR-SLAM System in Urban Area. Sensors 20(24): 7145 (2020) - [j6]Helin Zhu, Tianyi Liu, Enlu Zhou:
Risk Quantification in Stochastic Simulation under Input Uncertainty. ACM Trans. Model. Comput. Simul. 30(1): 1:1-1:24 (2020) - [c29]Tianyi Liu, Xiangyu Lin, Weijia Jia, Mingliang Zhou, Wei Zhao:
Regularized Attentive Capsule Network for Overlapped Relation Extraction. COLING 2020: 6388-6398 - [c28]Guojing Cong, Brian Kingsbury, Chih-Chieh Yang, Tianyi Liu:
Fast Training of Deep Neural Networks for Speech Recognition. ICASSP 2020: 6884-6888 - [c27]Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao:
On Computation and Generalization of Generative Adversarial Imitation Learning. ICLR 2020 - [c26]Xingran Wang, Tianyi Liu, Minh Trinh-Hoang, Marius Pesavento:
GPU-accelerated parallel optimization for sparse regularization. SAM 2020: 1-5 - [c25]Tianyi Liu, Sen He, Sunzhou Huang, Danny H. K. Tsang, Lingjia Tang, Jason Mars, Wei Wang:
A Benchmarking Framework for Interactive 3D Applications in the Cloud. MICRO 2020: 881-894 - [c24]Guojing Cong, Tianyi Liu:
Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum. MLHPC/AI4S@SC 2020: 29-39 - [c23]Wei Hu, Huanhuan Sheng, Jing Wu, Yining Li, Tianyi Liu, Yonghao Wang, Yuan Wen:
Generative Adversarial Training for Weakly Supervised Nuclei Instance Segmentation. SMC 2020: 3649-3654 - [c22]Tianyi Liu, Enlu Zhou:
Simulation Optimization by Reusing Past Replications: Don't Be Afraid of Dependence. WSC 2020: 2923-2934 - [i9]Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao:
On Computation and Generalization of Generative Adversarial Imitation Learning. CoRR abs/2001.02792 (2020) - [i8]Tianyi Liu, Sen He, Sunzhou Huang, Danny H. K. Tsang, Lingjia Tang, Jason Mars, Wei Wang:
A Benchmarking Framework for Interactive 3D Applications in the Cloud. CoRR abs/2006.13378 (2020) - [i7]Tianyi Liu, Xiangyu Lin, Weijia Jia, Mingliang Zhou, Wei Zhao:
Regularized Attentive Capsule Network for Overlapped Relation Extraction. CoRR abs/2012.10187 (2020)
2010 – 2019
- 2019
- [j5]Le Chang, Xiaoji Niu, Tianyi Liu, Jian Tang, Chuang Qian:
GNSS/INS/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization. Remote. Sens. 11(9): 1009 (2019) - [c21]Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang:
Improving Abstractive Document Summarization with Salient Information Modeling. ACL (1) 2019: 2132-2141 - [c20]Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento:
A Block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Inference with Laplacian Constraints. CAMSAP 2019: 236-240 - [c19]Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento:
A Parallel optimization Approach on the Infinity Norm Minimization Problem. EUSIPCO 2019: 1-5 - [c18]Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao:
Toward Understanding the Importance of Noise in Training Neural Networks. ICML 2019: 7594-7602 - [c17]Wei Hu, Shuang Chen, Zhenhao Li, Tianyi Liu, Yining Li:
Data Optimization CNN Accelerator Design on FPGA. ISPA/BDCloud/SocialCom/SustainCom 2019: 294-299 - [c16]Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Shortcut Connections in Residual Networks. NeurIPS 2019: 7890-7900 - [i6]Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Noise in Training Neural Networks. CoRR abs/1909.03172 (2019) - [i5]Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Shortcut Connections in Residual Networks. CoRR abs/1909.04653 (2019) - 2018
- [c15]Tianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia:
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning. EMNLP 2018: 2195-2204 - [c14]Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao:
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. NeurIPS 2018: 3686-3696 - [c13]Sam Silvestro, Hongyu Liu, Tianyi Liu, Zhiqiang Lin, Tongping Liu:
Guarder: A Tunable Secure Allocator. USENIX Security Symposium 2018: 117-133 - [c12]Enlu Zhou, Tianyi Liu:
Online Quantification of input uncertainty for parametric Models. WSC 2018: 1587-1598 - [i4]Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao:
Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. CoRR abs/1802.05155 (2018) - [i3]Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao:
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. CoRR abs/1806.01660 (2018) - [i2]Tianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia:
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning. CoRR abs/1808.06738 (2018) - 2017
- [c11]Paris (Pei-Ting) Hsu, Jingshu Zhao, Kehan Liao, Tianyi Liu, Chen Wang:
AllergyBot: A Chatbot Technology Intervention for Young Adults with Food Allergies Dining Out. CHI Extended Abstracts 2017: 74-79 - [c10]Qian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok K. Krishnamurthy, Jason L. Stein, Guorong Wu:
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. Patch-MI@MICCAI 2017: 55-62 - [c9]Yang Xu, Shuwen Liu, Binglu Wang, Tianyi Liu, Zhengnan Liu:
Share-housing allocation information service system based on Pareto optimality. SNPD 2017: 419-424 - 2016
- [j4]Yi Bu, Tianyi Liu, Win-Bin Huang:
MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations. Scientometrics 108(1): 143-166 (2016) - [j3]Lin Ma, Zheng You, Tianyi Liu, Shuai Shi:
Coupled Integration of CSAC, MIMU, and GNSS for Improved PNT Performance. Sensors 16(5): 682 (2016) - [j2]Fengtian Han, Tianyi Liu, Linlin Li, Qiuping Wu:
Design and Fabrication of a Differential Electrostatic Accelerometer for Space-Station Testing of the Equivalence Principle. Sensors 16(8): 1262 (2016) - [j1]Ruonan Wu, Qiuping Wu, Fengtian Han, Tianyi Liu, Peida Hu, Haixia Li:
Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems. Sensors 16(12): 2177 (2016) - [c8]Ye Yuan, Li Mi, Tianyi Liu, Zhong Shen:
Storytelling in VR: light chaser's VR short film sent. SIGGRAPH VR Village 2016: 19:1 - 2015
- [c7]Tianyi Liu, Fei Jiang, Yiqun Liu, Min Zhang, Shaoping Ma:
Do Photos Help Express Our Feelings: Incorporating Multimodal Features into Microblog Sentiment Analysis. SMP 2015: 63-73 - [i1]Tianyi Liu, Shuangsang Fang, Yuehui Zhao, Peng Wang, Jun Zhang:
Implementation of Training Convolutional Neural Networks. CoRR abs/1506.01195 (2015) - 2014
- [c6]Tianyi Liu, Ulrich Bihr, Joachim Becker, Jens Anders, Maurits Ortmanns:
Live demonstration: In vivo verification of a 100 Mbps transcutaneous optical telemetric link. BioCAS 2014: 186 - [c5]Tianyi Liu, Ulrich Bihr, Joachim Becker, Jens Anders, Maurits Ortmanns:
In vivo verification of a 100 Mbps transcutaneous optical telemetric link. BioCAS 2014: 580-583 - [c4]Tianyi Liu, Ulrich Bihr, Jens Anders, Maurits Ortmanns:
Performance evaluation of a low power optical wireless link for biomedical data transfer. ISCAS 2014: 870-873 - 2013
- [c3]Tianyi Liu, Jens Anders, Maurits Ortmanns:
Design optimization of the optical receiver in transcutaneous telemetric links. BioCAS 2013: 346-349 - [c2]Tianyi Liu, Jens Anders, Maurits Ortmanns:
System level model for transcutaneous optical telemetric link. ISCAS 2013: 865-868 - 2012
- [c1]Tianyi Liu, Ulrich Bihr, Syed M. Anis, Maurits Ortmanns:
Optical transcutaneous link for low power, high data rate telemetry. EMBC 2012: 3535-3538