Publications

Yifan Lu, Quanhao Li, Baoan Liu, Mehrdad Dianat, Chen Feng, Siheng Chen, Yanfeng Wang (2023). Robust Collaborative 3D Object Detection in Presence of Pose Errors. arXiv preprint arXiv:2211.07214.

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Yue Hu, Shaoheng Fang, Weidi Xie, Siheng Chen (2023). Aerial monocular 3d object detection. arXiv preprint arXiv:2208.03974.

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Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang (2023). FedDisco: Federated Learning with Discrepancy-Aware Collaboration. CoRR.

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Zenan Huang, Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng (2023). Discriminative Radial Domain Adaptation. IEEE Transactions on Image Processing.

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Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan (2022). Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. IEEE Transactions on Knowledge and Data Engineering.

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Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang (2022). Skeleton-parted graph scattering networks for 3D human motion prediction. European Conference on Computer Vision (ECCV).

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Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, Zhan Ma (2022). MPED: Quantifying point cloud distortion based on multiscale potential energy discrepancy. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen (2022). Latency-aware collaborative perception. European Conference on Computer Vision (ECCV).

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Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann (2022). Aware of the history: Trajectory forecasting with the local behavior data. European Conference on Computer Vision (ECCV).

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Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen (2022). Where2comm: Communication-efficient collaborative perception via spatial confidence maps. Neural Information Processing Systems (NeurIPS).

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Jiang-Zhou Peng, Yi-Zhe Wang, Siheng Chen, Zhi-Hua Chen, Wei-Tao Wu, Nadine Aubry (2022). Grid adaptive reduced-order model of fluid flow based on graph convolutional neural network. Physics of Fluids.

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Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng (2022). V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving. IEEE Robotics and Automation Letters.

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Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun (2022). No-reference point cloud quality assessment via domain adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen (2022). GroupNet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Jiachen Li, Siheng Chen, Xiaoyong Pan, Ye Yuan, Hong-bin Shen (2022). CCST: Cell clustering for spatial transcriptomics data with graph neural network. Nature Computational Science.

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Zida Cheng, Siheng Chen, Ya Zhang (2022). Spatio-temporal graph complementary scattering networks. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Chenxin Xu, Weibo Mao, Wenjun Zhang, Siheng Chen (2022). Remember intentions: Retrospective-memory-based trajectory prediction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Zhen Xiang, David J Miller, Siheng Chen, Xi Li, George Kesidis (2022). Detecting backdoor attacks against point cloud classifiers. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W Tsang, Ya Zhang (2022). Online multi-agent forecasting with interpretable collaborative graph neural network. IEEE Transactions on Neural Networks and Learning Systems.

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Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, Pan Li (2022). Energy-efficient computation offloading in mobile edge computing systems with uncertainties. IEEE Transactions on Wireless Communications.

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Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen (2021). Learning to learn graph topologies. Neural Information Processing Systems (NeurIPS).

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Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang (2021). Learning distilled collaboration graph for multi-agent perception. Neural Information Processing Systems (NeurIPS).

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Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Ya Zhang, Siheng Chen (2021). Collaborative uncertainty in multi-agent trajectory forecasting. Neural Information Processing Systems (NeurIPS).

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Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang, Qi Tian (2021). Divide and conquer for single-frame temporal action localization. IEEE/CVF International Conference on Computer Vision (ICCV).

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Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yan-Feng Wang (2021). CaT: Weakly Supervised Object Detection with Category Transfer Supplementary Material. IEEE/CVF International Conference on Computer Vision (ICCV).

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Zhen Xiang, David J Miller, Siheng Chen, Xi Li, George Kesidis (2021). A backdoor attack against 3D point cloud classifiers. IEEE/CVF International Conference on Computer Vision (ICCV).

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Chao Pan, Siheng Chen, Antonio Ortega (2021). Spatio-temporal graph scattering transform. ICLR 2021.

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Siheng Chen, Yonina C Eldar (2021). Time-varying graph signal inpainting via unrolling networks. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian (2021). Symbiotic graph neural networks for 3D skeleton-based human action recognition and motion prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Zida Cheng, Siheng Chen, Ya Zhang (2021). Semi-supervised 3D hand-object pose estimation via pose dictionary learning. 2021 IEEE International Conference on Image Processing (ICIP).

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Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian (2021). Multiscale spatio-temporal graph neural networks for 3D skeleton-based motion prediction. IEEE Transactions on Image Processing.

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Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang (2021). Invariant teacher and equivariant student for unsupervised 3D human pose estimation. AAAI 2021.

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Siheng Chen, Yonina C Eldar, Lingxiao Zhao (2021). Graph unrolling networks: Interpretable neural networks for graph signal denoising. IEEE Transactions on Signal Processing.

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Siheng Chen, Yonina C Eldar (2021). Graph signal denoising via unrolling networks. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Pratyusha Das, Antonio Ortega, Siheng Chen, Hassan Mansour, Anthony Vetro (2021). Application-agnostic spatio-temporal hand graph representations for stable activity understanding. 2021 IEEE International Conference on Image Processing (ICIP).

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Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang (2021). A 3D mesh-based lifting-and-projection network for human pose transfer. IEEE Transactions on Multimedia.

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Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington (2021). 3D point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception. IEEE Signal Processing Magazine.

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Jiang-Zhou Peng, Siheng Chen, Nadine Aubry, Zhihua Chen, Wei-Tao Wu (2020). Unsteady reduced-order model of flow over cylinders based on convolutional and deconvolutional neural network structure. Physics of Fluids.

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Jiang-Zhou Peng, Siheng Chen, Nadine Aubry, Zhi-Hua Chen, Wei-Tao Wu (2020). Time-variant prediction of flow over an airfoil using deep neural network. Physics of Fluids.

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Vassilis N Ioannidis, Siheng Chen, Georgios B Giannakis (2020). Pruned graph scattering transforms. International Conference on Learning Representations (ICLR).

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Pengxiang Wu, Siheng Chen, Dimitris Metaxas (2020). MotionNet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W Tsang (2020). Learning on attribute-missing graphs. IEEE transactions on pattern analysis and machine intelligence.

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Maosen Li, Siheng Chen, Ya Zhang, Ivor W Tsang (2020). Graph cross networks with vertex infomax pooling. Neural Information Processing Systems (NeurIPS).

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Vassilis N Ioannidis, Siheng Chen, Georgios B Giannakis (2020). Efficient and stable graph scattering transforms via pruning. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian (2020). Dynamic multiscale graph neural networks for 3D skeleton-based human motion prediction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Jingxiao Liu, Siheng Chen, Mario Berges, Jacobo Bielak, James H Garrett, Jelena Kovačević, Hae Young Noh (2020). Diagnosis algorithms for indirect structural health monitoring of a bridge model via dimensionality reduction. Mechanical Systems and Signal Processing.

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Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, HaeYoung Noh (2020). Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu (2020). Collaborative motion prediction via neural motion message passing. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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S. Chen, S. Niu, T. Lan, B. Liu (2019). PCT: Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving. ICIP 2019.

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S. Chen, C. Duan, Y. Yang, D. Li, C. Feng, D. Tian (2019). FoldingNet++: Deep unsupervised learning of 3D point clouds via graph topology inference and filtering. IEEE Transactions on Image Processing.

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Jingxiao Liu, Siheng Chen, George Lederman, David B Kramer, Hae Young Noh, Jacobo Bielak, James H Garrett, Jelena Kovačević, Mario Berges (2019). Dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh. Nature Scientific Data.

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Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian (2019). Actional-structural graph convolutional networks for 3D skeleton-based action recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Chaojing Duan, Siheng Chen, Jelena Kovačević (2019). 3D point cloud denoising via deep-neural-network based local surface estimation. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Chaojing Duan, Siheng Chen, Jelena Kovačević (2018). Weighted multiple-projection: 3D point cloud denoising with tangent planes. 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

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Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C Smith, Jelena Kovačević (2018). Generalized value iteration networks: Life beyond lattices. AAAI 2018.

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Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovačević (2018). Fast temporal path localization on graphs via multiscale Viterbi decoding. IEEE Transactions on Signal Processing.

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Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević (2018). Fast resampling of 3D point clouds via graphs. IEEE Transactions on Signal Processing.

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George Lederman, Siheng Chen, James Garrett, Jelena Kovačević, Hae Young Noh, Jacobo Bielak (2017). Track-monitoring from the dynamic response of an operational train. Mechanical Systems and Signal Processing.

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George Lederman, Siheng Chen, James H Garrett, Jelena Kovačević, Hae Young Noh, Jacobo Bielak (2017). Track monitoring from the dynamic response of a passing train: a sparse approach. Mechanical Systems and Signal Processing.

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Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovačević (2017). Fast path localization on graphs via multiscale Viterbi decoding. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovačević (2017). Detecting localized categorical attributes on graphs. IEEE Transactions on Signal Processing.

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Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević (2017). Contour-enhanced resampling of 3D point clouds via graphs. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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George Lederman, Siheng Chen, James H Garrett, Jelena Kovačević, Hae Young Noh, Jacobo Bielak (2017). A data fusion approach for track monitoring from multiple in-service trains. Mechanical Systems and Signal Processing.

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Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević (2016). Representations of piecewise smooth signals on graphs. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačcević (2016). A statistical perspective of sampling scores for linear regression. 2016 IEEE International Symposium on Information Theory (ISIT).

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Rohan Varma, Siheng Chen, Jelena Kovačević (2015). Spectrum-blind signal recovery on graphs. 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

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Siheng Chen, Aliaksei Sandryhaila, José MF Moura, Jelena Kovačević (2015). Signal recovery on graphs: Variation minimization. IEEE Transactions on Signal Processing.

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Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević (2015). Signal recovery on graphs: Random versus experimentally designed sampling. Sampling Theory and Applications (SampTA).

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Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević (2015). Signal recovery on graphs: Fundamental limits of sampling strategies. IEEE Transactions on Signal and Information Processing over Networks.

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Siheng Chen, Aliaksei Sandryhaila, Jelena Kovačević (2015). Sampling theory for graph signals. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Tianxi Ji, Siheng Chen, Rohan Varma, Jelena Kovačević (2015). Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery. 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

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Siheng Chen, Aliaksei Sandryhaila, Jelena Kovačević (2015). Distributed algorithm for graph signal inpainting. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovačević (2015). Discrete signal processing on graphs: Sampling theory. IEEE Transactions on Signal Processing.

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Siheng Chen, Aliaksei Sandryhaila, George Lederman, Zihao Wang, José MF Moura, Piervincenzo Rizzo, Jacobo Bielak, James H Garrett, Jelena Kovačević (2014). Signal inpainting on graphs via total variation minimization. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Siheng Chen, Aliaksei Sandryhaila, José MF Moura, Jelena Kovačević (2014). Signal denoising on graphs via graph filtering. IEEE GlobalSIP.

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Siheng Chen, Fernando Cerda, Piervincenzo Rizzo, Jacobo Bielak, J Garrett, Jelena Kovačević (2014). Semi-supervised multiresolution classification using adaptive graph filtering with application to indirect bridge structural health monitoring. IEEE Transactions on Signal Processing.

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Fernando Cerda, Siheng Chen, Jacobo Bielak, James H Garrett, Piervincenzo Rizzo, Jelena Kovačević (2014). Indirect structural health monitoring of a simplified laboratory-scale bridge model. Smart Structures and Systems (Special Issue: Challenge on bridge health monitoring utilizing vehicle-induced vibrations.), in review.

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George Lederman, Zihao Wang, Jacobo Bielak, H Noh, James H Garrett, Siheng Chen, Jelena Kovačević, Fernando Cerda, Piervincenzo Rizzo (2014). Damage quantification and localization algorithms for indirect SHM of bridges. Proc. Int. Conf. Bridge Maint., Safety Manag., Shanghai, China.

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Siheng Chen, Fernando Cerda, Jia Guo, Joel B Harley, Qing Shi, Piervincenzo Rizzo, Jacobo Bielak, James H Garrett, Jelena Kovačević (2013). Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring. 2013 IEEE international conference on acoustics, speech and signal processing.

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Zihao Wang, Siheng Chen, George Lederman, Fernando Cerda, Jacobo Bielak, James H Garrett, Piervincenzo Rizzo, Jelena Kovačević (2013). Comparison of sparse representation and Fourier discriminant methods: damage location classification in indirect lab-scale bridge structural health monitoring. Structures Congress 2013@ sBridging Your Passion with Your Profession.

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Siheng Chen, Aliaksei Sandryhaila, José MF Moura, Jelena Kovačević (2013). Adaptive graph filtering: Multiresolution classification on graphs. IEEE GlobalSIP.

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Fernando Cerda, James Garrett, Jacobo Bielak, Piervincenzo Rizzo, J Barrera, Z Zhuang, Siheng Chen, Michael T. McCann, Jelena Kovačević (2012). Indirect structural health monitoring in bridges: Scale experiments. Proc. Int. Conf. Bridge Maint., Safety Manag..

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