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2020 – today
- 2022
- [j16]Xu Chen
, Siheng Chen
, Jiangchao Yao, Huangjie Zheng
, Ya Zhang
, Ivor W. Tsang
:
Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 740-757 (2022) - [j15]Vassilis N. Ioannidis
, Siheng Chen
, Georgios B. Giannakis
:
Efficient and Stable Graph Scattering Transforms via Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1232-1246 (2022) - [j14]Maosen Li
, Siheng Chen
, Xu Chen
, Ya Zhang
, Yanfeng Wang, Qi Tian
:
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3316-3333 (2022) - [i58]Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, Pan Li:
Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties. CoRR abs/2201.10398 (2022) - [i57]Siheng Chen, Fabio Giardina, Gary P. T. Choi, L. Mahadevan:
Modular representation and control of floppy networks. CoRR abs/2202.03150 (2022) - [i56]Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR abs/2202.08408 (2022) - [i55]Yiming Li, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng:
V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving. CoRR abs/2202.08449 (2022) - [i54]Chenxin Xu, Weibo Mao, Wenjun Zhang, Siheng Chen:
Remember Intentions: Retrospective-Memory-based Trajectory Prediction. CoRR abs/2203.11474 (2022) - [i53]Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen:
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CoRR abs/2204.08770 (2022) - 2021
- [j13]Siheng Chen
, Baoan Liu, Chen Feng
, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception. IEEE Signal Process. Mag. 38(1): 68-86 (2021) - [j12]Maosen Li
, Siheng Chen
, Yangheng Zhao
, Ya Zhang
, Yanfeng Wang, Qi Tian
:
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. IEEE Trans. Image Process. 30: 7760-7775 (2021) - [j11]Siheng Chen
, Yonina C. Eldar
, Lingxiao Zhao:
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. IEEE Trans. Signal Process. 69: 3699-3713 (2021) - [c48]Xin Yu, Jeroen van Baar, Siheng Chen:
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph. 3DV 2021: 505-514 - [c47]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. AAAI 2021: 3013-3021 - [c46]Siheng Chen, Yonina C. Eldar:
Graph Signal Denoising Via Unrolling Networks. ICASSP 2021: 5290-5294 - [c45]Siheng Chen, Yonina C. Eldar:
Time-Varying Graph Signal Inpainting Via Unrolling Networks. ICASSP 2021: 8092-8097 - [c44]Takuya Fujihashi, Toshiaki Koike-Akino
, Siheng Chen, Takashi Watanabe:
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks. ICC 2021: 1-6 - [c43]Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yan-Feng Wang:
CaT: Weakly Supervised Object Detection with Category Transfer. ICCV 2021: 3050-3059 - [c42]Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
A Backdoor Attack against 3D Point Cloud Classifiers. ICCV 2021: 7577-7587 - [c41]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Divide and Conquer for Single-frame Temporal Action Localization. ICCV 2021: 13435-13444 - [c40]Maosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction. ICCVW 2021: 854-864 - [c39]Pratyusha Das, Antonio Ortega, Siheng Chen, Hassan Mansour, Anthony Vetro:
Application-Agnostic Spatio-Temporal Hand Graph Representations For Stable Activity Understanding. ICIP 2021: 1074-1078 - [c38]Zida Cheng, Siheng Chen, Ya Zhang:
Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning. ICIP 2021: 3632-3636 - [c37]Chao Pan, Siheng Chen, Antonio Ortega:
Spatio-Temporal Graph Scattering Transform. ICLR 2021 - [c36]Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen:
Learning to Learn Graph Topologies. NeurIPS 2021: 4249-4262 - [c35]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. NeurIPS 2021: 6328-6340 - [c34]Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang:
Learning Distilled Collaboration Graph for Multi-Agent Perception. NeurIPS 2021: 29541-29552 - [c33]Chuan Wen, Yujie Pan, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. WACV 2021: 3881-3890 - [i52]Qi Yang, Siheng Chen, Yiling Xu, Jun Sun, M. Salman Asif, Zhan Ma:
Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception. CoRR abs/2103.02850 (2021) - [i51]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian:
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. CoRR abs/2104.02357 (2021) - [i50]Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
A Backdoor Attack against 3D Point Cloud Classifiers. CoRR abs/2104.05808 (2021) - [i49]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR abs/2107.00894 (2021) - [i48]Zida Cheng, Siheng Chen, Ya Zhang:
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning. CoRR abs/2107.07676 (2021) - [i47]Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yan-Feng Wang:
CaT: Weakly Supervised Object Detection with Category Transfer. CoRR abs/2108.07487 (2021) - [i46]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. CoRR abs/2108.11244 (2021) - [i45]Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang:
A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer. CoRR abs/2109.11719 (2021) - [i44]Xin Yu, Jeroen van Baar, Siheng Chen:
Joint 3D Human Shape Recovery from A Single Imag with Bilayer-Graph. CoRR abs/2110.08472 (2021) - [i43]Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen:
Learning to Learn Graph Topologies. CoRR abs/2110.09807 (2021) - [i42]Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
Detecting Backdoor Attacks Against Point Cloud Classifiers. CoRR abs/2110.10354 (2021) - [i41]Zida Cheng, Siheng Chen, Ya Zhang:
Spatio-Temporal Graph Complementary Scattering Networks. CoRR abs/2110.12150 (2021) - [i40]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Ya Zhang, Siheng Chen:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. CoRR abs/2110.13947 (2021) - [i39]Jian Du, Song Li, Fengran Mo, Siheng Chen:
Dynamic Differential-Privacy Preserving SGD. CoRR abs/2111.00173 (2021) - [i38]Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang:
Learning Distilled Collaboration Graph for Multi-Agent Perception. CoRR abs/2111.00643 (2021) - [i37]Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun:
No-Reference Point Cloud Quality Assessment via Domain Adaptation. CoRR abs/2112.02851 (2021) - 2020
- [j10]Huaixin Liang, Xin Yang, Shaoxiong Li, Siheng Chen, Xiaoqing Zhang:
Application research on quantitative prediction of TCM syndrome differentiation based on ensemble learning. Int. J. Comput. Appl. Technol. 64(1): 46-56 (2020) - [j9]Siheng Chen
, Chaojing Duan, Yaoqing Yang
, Duanshun Li, Chen Feng
, Dong Tian:
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. IEEE Trans. Image Process. 29: 3183-3198 (2020) - [c32]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. CVPR 2020: 211-220 - [c31]Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. CVPR 2020: 6318-6327 - [c30]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CVPR 2020: 11382-11392 - [c29]Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Bergés, Jacobo Bielak, Hae Young Noh:
Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring. ICASSP 2020: 3007-3011 - [c28]Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph. ICKG 2020: 283-290 - [c27]Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs. ICKG 2020: 466-473 - [c26]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Pruned Graph Scattering Transforms. ICLR 2020 - [c25]Dehong Liu, Siheng Chen, Petros T. Boufounos:
Graph-Based Array Signal Denoising for Perturbed Synthetic Aperture Radar. IGARSS 2020: 1881-1884 - [c24]Siheng Chen, Ningxiao Zhang, Huifang Sun:
Collaborative Localization Based on Traffic Landmarks for Autonomous Driving. ISCAS 2020: 1-5 - [c23]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. NeurIPS 2020 - [i36]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. CoRR abs/2001.09882 (2020) - [i35]Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, Hae Young Noh:
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring. CoRR abs/2002.02105 (2020) - [i34]Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving. CoRR abs/2003.00601 (2020) - [i33]Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. CoRR abs/2003.06594 (2020) - [i32]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CoRR abs/2003.06754 (2020) - [i31]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction. CoRR abs/2003.08802 (2020) - [i30]Gary P. T. Choi, Siheng Chen, L. Mahadevan:
Control of connectivity and rigidity in prismatic assemblies. CoRR abs/2005.05845 (2020) - [i29]Siheng Chen, Yonina C. Eldar, Lingxiao Zhao:
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. CoRR abs/2006.01301 (2020) - [i28]Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe:
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks. CoRR abs/2006.09835 (2020) - [i27]Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph. CoRR abs/2007.08304 (2020) - [i26]Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs. CoRR abs/2007.08308 (2020) - [i25]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. CoRR abs/2010.01804 (2020) - [i24]Siheng Chen, Maosen Li, Ya Zhang:
Sampling and Recovery of Graph Signals based on Graph Neural Networks. CoRR abs/2011.01412 (2020) - [i23]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. CoRR abs/2011.01623 (2020) - [i22]Chao Pan, Siheng Chen, Antonio Ortega:
Spatio-Temporal Graph Scattering Transform. CoRR abs/2012.03363 (2020) - [i21]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. CoRR abs/2012.09398 (2020)
2010 – 2019
- 2019
- [j8]Zhongyun Liu, Siheng Chen, Weijin Xu, Yulin Zhang
:
The eigen-structures of real (skew) circulant matrices with some applications. Comput. Appl. Math. 38(4) (2019) - [c22]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019: 3595-3603 - [c21]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation. ICASSP 2019: 8553-8557 - [c20]Yuanwei Wu, Tim K. Marks, Anoop Cherian, Siheng Chen, Chen Feng
, Guanghui Wang, Alan Sullivan:
Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation. ICCV Workshops 2019: 2777-2786 - [c19]Siheng Chen, Sufeng Niu, Tian Lan, Baoan Liu:
PCT: Large-Scale 3d Point Cloud Representations Via Graph Inception Networks with Applications to Autonomous Driving. ICIP 2019: 4395-4399 - [i20]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation. CoRR abs/1904.04427 (2019) - [i19]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR abs/1904.12659 (2019) - [i18]Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. CoRR abs/1904.13268 (2019) - [i17]Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian:
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. CoRR abs/1905.04571 (2019) - [i16]Siheng Chen, Sufeng Niu, Tian Lan, Baoan Liu:
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving. CoRR abs/1906.11359 (2019) - [i15]Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang:
Node Attribute Generation on Graphs. CoRR abs/1907.09708 (2019) - [i14]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction. CoRR abs/1910.02212 (2019) - [i13]Siheng Chen, Gary P. T. Choi, L. Mahadevan:
Topological and statistical control of kirigami. CoRR abs/1910.07090 (2019) - 2018
- [j7]Siheng Chen
, Dong Tian
, Chen Feng
, Anthony Vetro, Jelena Kovacevic:
Fast Resampling of Three-Dimensional Point Clouds via Graphs. IEEE Trans. Signal Process. 66(3): 666-681 (2018) - [j6]Yaoqing Yang
, Siheng Chen
, Mohammad Ali Maddah-Ali
, Pulkit Grover
, Soummya Kar
, Jelena Kovacevic:
Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding. IEEE Trans. Signal Process. 66(21): 5588-5603 (2018) - [c18]Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic:
Generalized Value Iteration Networks: Life Beyond Lattices. AAAI 2018: 6246-6253 - [c17]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-Projection: 3D Point Cloud Denoising with Tangent Planes. GlobalSIP 2018: 725-729 - [i12]Siheng Chen, Aarti Singh, Jelena Kovacevic:
Multiresolution Representations for Piecewise-Smooth Signals on Graphs. CoRR abs/1803.02944 (2018) - [i11]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes. CoRR abs/1807.00253 (2018) - 2017
- [j5]Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic:
Detecting Localized Categorical Attributes on Graphs. IEEE Trans. Signal Process. 65(10): 2725-2740 (2017) - [c16]Rohan Varma, Siheng Chen, Jelena Kovacevic:
Graph topology recovery for regular and irregular graphs. CAMSAP 2017: 1-5 - [c15]Siheng Chen, Dong Tian, Chen Feng
, Anthony Vetro, Jelena Kovacevic:
Contour-enhanced resampling of 3D point clouds via graphs. ICASSP 2017: 2941-2945 - [c14]Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovacevic:
Fast path localization on graphs via multiscale Viterbi decoding. ICASSP 2017: 4114-4118 - [i10]Siheng Chen, Sufeng Niu, Leman Akoglu, Jelena Kovacevic, Christos Faloutsos:
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm. CoRR abs/1702.05764 (2017) - [i9]Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovacevic:
Fast Resampling of 3D Point Clouds via Graphs. CoRR abs/1702.06397 (2017) - [i8]Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic:
Generalized Value Iteration Networks: Life Beyond Lattices. CoRR abs/1706.02416 (2017) - 2016
- [j4]Siheng Chen
, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. IEEE Trans. Signal Inf. Process. over Networks 2(4): 539-554 (2016) - [c13]Siheng Chen, Yaoqing Yang, Aarti Singh, Jelena Kovacevic:
Signal detection on graphs: Bernoulli noise model. GlobalSIP 2016: 395-399 - [c12]Siheng Chen, Yaoqing Yang, Christos Faloutsos, Jelena Kovacevic:
Monitoring Manhattan's traffic at 5 intersections? GlobalSIP 2016: 1270-1274 - [c11]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Representations of piecewise smooth signals on graphs. ICASSP 2016: 6370-6374 - [c10]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
A statistical perspective of sampling scores for linear regression. ISIT 2016: 1556-1560 - [i7]Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic:
Detecting Structure-correlated Attributes on Graphs. CoRR abs/1604.00657 (2016) - [i6]Siheng Chen, Yaoqing Yang, José M. F. Moura, Jelena Kovacevic:
Signal Localization, Decomposition and Dictionary Learning on Graphs. CoRR abs/1607.01100 (2016) - 2015
- [j3]Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic:
Signal Recovery on Graphs: Variation Minimization. IEEE Trans. Signal Process. 63(17): 4609-4624 (2015) - [j2]Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic:
Discrete Signal Processing on Graphs: Sampling Theory. IEEE Trans. Signal Process. 63(24): 6510-6523 (2015) - [c9]Tianxi Ji, Siheng Chen, Rohan Varma, Jelena Kovacevic:
Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery. Allerton 2015: 1414-1421 - [c8]Rohan Varma, Siheng Chen, Jelena Kovacevic:
Spectrum-blind signal recovery on graphs. CAMSAP 2015: 81-84 - [c7]Siheng Chen, Aliaksei Sandryhaila, Jelena Kovacevic:
Sampling theory for graph signals. ICASSP 2015: 3392-3396 - [c6]Siheng Chen, Aliaksei Sandryhaila, Jelena Kovacevic:
Distributed algorithm for graph signal inpainting. ICASSP 2015: 3731-3735 - [c5]Sean Bittner, Siheng Chen, Jelena Kovacevic:
Fast algorithm for neural network reconstruction. ISBI 2015: 866-869 - [i5]Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic:
Discrete Signal Processing on Graphs: Sampling Theory. CoRR abs/1503.05432 (2015) - [i4]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling. CoRR abs/1504.05427 (2015) - [i3]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. CoRR abs/1512.05405 (2015) - [i2]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Representations on Graphs: Tools and Applications. CoRR abs/1512.05406 (2015) - 2014
- [j1]Siheng Chen, Fernando Cerda, Piervincenzo Rizzo, Jacobo Bielak, James H. Garrett Jr.
, Jelena Kovacevic:
Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health Monitoring. IEEE Trans. Signal Process. 62(11): 2879-2893 (2014) - [c4]Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic:
Signal denoising on graphs via graph filtering. GlobalSIP 2014: 872-876 - [c3]Siheng Chen, Aliaksei Sandryhaila, George Lederman, Zihao Wang, José M. F. Moura, Piervincenzo Rizzo, Jacobo Bielak, James H. Garrett Jr.
, Jelena Kovacevic:
Signal inpainting on graphs via total variation minimization. ICASSP 2014: 8267-8271 - [i1]Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic:
Signal Recovery on Graphs. CoRR abs/1411.7414 (2014) - 2013
- [c2]