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ORCIDRobert C. Qiu
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Publications
- 2023
[j77]Songpengcheng Xia
, Lei Chu, Ling Pei, Wenxian Yu, Robert C. Qiu:
A Boundary Consistency-Aware Multitask Learning Framework for Joint Activity Segmentation and Recognition With Wearable Sensors. IEEE Trans. Ind. Informatics 19(3): 2984-2996 (2023)- [j75]Dongrui Liu, Chuanchaun Chen, Changqing Xu, Robert C. Qiu, Lei Chu:
Self-Supervised Point Cloud Registration With Deep Versatile Descriptors for Intelligent Driving. IEEE Trans. Intell. Transp. Syst. 24(9): 9767-9779 (2023) - [i46]Songpengcheng Xia, Lei Chu, Ling Pei, Jiarui Yang, Wenxian Yu, Robert C. Qiu:
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport. CoRR abs/2310.09114 (2023) - 2022
- [j72]Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Fei Wen, Robert C. Qiu:
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [c30]Songpengcheng Xia, Lei Chu, Ling Pei, Wenxian Yu, Robert C. Qiu:
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition. GLOBECOM 2022: 566-572 - [i38]Siyan Li, Yue Xiao, Yuhang Zhang, Lei Chu, Robert C. Qiu:
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images. CoRR abs/2201.08958 (2022) - [i37]Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert C. Qiu, Lei Chu:
Self-supervised Point Cloud Registration with Deep Versatile Descriptors. CoRR abs/2201.10034 (2022) - [i35]Songpengcheng Xia, Lei Chu, Ling Pei, Wenxian Yu, Robert C. Qiu:
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition. CoRR abs/2208.07547 (2022) - 2021
- [j68]Ling Pei, Songpengcheng Xia, Lei Chu, Fanyi Xiao, Qi Wu, Wenxian Yu, Robert C. Qiu:
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition With Multidomain Deep Learning Model. IEEE Internet Things J. 8(11): 9383-9396 (2021) - [j67]Lei Chu, Ling Pei, Robert C. Qiu:
Ahed: A Heterogeneous-Domain Deep Learning Model for IoT-Enabled Smart Health With Few-Labeled EEG Data. IEEE Internet Things J. 8(23): 16787-16800 (2021) - [j66]Lei Chu, Huanyu He, Ling Pei, Robert C. Qiu:
NOLD: A neural-network optimized low-resolution decoder for LDPC codes. J. Commun. Networks 23(3): 159-170 (2021) - [j65]Zenan Ling, Robert C. Qiu, Xing He, Lei Chu:
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location. IEEE Trans. Big Data 7(3): 548-558 (2021) - [j64]Songpengcheng Xia, Lei Chu, Ling Pei, Zixuan Zhang, Wenxian Yu, Robert C. Qiu:
Learning Disentangled Representation for Mixed- Reality Human Activity Recognition With a Single IMU Sensor. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - 2020
- [c26]Lei Chu, Huanyu He, Ling Pei, Wenxian Yu, Robert Caiming Qiu:
Label-free Optimization for Passive Beamforming in IRS-assisted MISO Systems. ICCT 2020: 157-162 - [c25]Lei Chu, Ling Pei, Husheng Li, Robert Caiming Qiu:
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs. ICCT 2020: 328-333 - [i33]Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Robert Caiming Qiu:
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition. CoRR abs/2009.06903 (2020) - 2019
- [j57]Lei Chu, Fei Wen, Robert Caiming Qiu:
Eigen-Inference Precoding for Coarsely Quantized Massive MU-MIMO System With Imperfect CSI. IEEE Trans. Veh. Technol. 68(9): 8729-8743 (2019) - [j56]Lei Chu, Fei Wen, Lily Li, Robert C. Qiu:
Efficient Nonlinear Precoding for Massive MIMO Downlink Systems With 1-Bit DACs. IEEE Trans. Wirel. Commun. 18(9): 4213-4224 (2019) - [c24]Lei Chu, Fei Wen, Robert Caiming Qiu:
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties-V0. ICC 2019: 1-5 - [c23]Huanyu He, Lei Chu, Robert Caiming Qiu:
A New Low-Resolution Min-Sum Decoder Based on Dynamic Clipping for LDPC Codes. ICCC 2019: 636-640 - [i31]Xing He, Lei Chu, Robert C. Qiu, Qian Ai, Wentao Huang:
Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space. CoRR abs/1902.06211 (2019) - [i29]Lei Chu, Fei Wen, Robert Caiming Qiu:
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties. CoRR abs/1905.05797 (2019) - [i28]Lei Chu, Husheng Li, Robert Caiming Qiu:
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs. CoRR abs/1905.06329 (2019) - 2018
- [j54]Xing He, Lei Chu, Robert Caiming Qiu, Qian Ai, Zenan Ling:
A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling. IEEE Access 6: 13855-13865 (2018) - [j53]Fei Wen, Lei Chu, Peilin Liu, Robert C. Qiu:
A Survey on Nonconvex Regularization-Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning. IEEE Access 6: 69883-69906 (2018) - [j52]Lei Chu, Robert C. Qiu, Xing He, Zenan Ling, Yadong Liu:
Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test. IEEE Trans. Big Data 4(1): 55-64 (2018) - [i25]Zenan Ling, Robert C. Qiu, Zhijian Jin, Yuhang Zhang, Xing He, Haichun Liu, Lei Chu:
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images. CoRR abs/1801.05143 (2018) - [i23]Fei Wen, Lei Chu, Peilin Liu, Robert C. Qiu:
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning. CoRR abs/1808.05403 (2018) - 2017
- [i20]Lei Chu, Robert C. Qiu, Haichun Liu, Zenan Ling, Xin Shi:
Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams. CoRR abs/1707.03467 (2017) - 2016
- [j44]Xing He, Robert Caiming Qiu, Qian Ai, Lei Chu, Xinyi Xu, Zenan Ling:
Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices. IEEE Access 4: 3557-3568 (2016)
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