Ying Li, Kai Li, Lei Cheng, Qingjiang Shi and Zhi-Quan Luo, ‘‘Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models’’, submitted for possible publication.

Kai Li, Ying Li, Lei Cheng, Qingjiang Shi and Zhi-Quan Luo, ‘‘Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach’’, submitted for possible publication.

Le Xu, Lei Cheng, Ngai Wong, and Yik-Chung Wu, “Learning Tensor Train Representation With Automatic Rank Determination From Incomplete Noisy Data”, submitted for possible publication (available online at arXiv).

Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu and Sergios Theodoridis, “Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior,” submitted for possible publication (available online at arXiv).

[B1] Xuefeng Xu, Yanqing Yao, and Lei Cheng, ‘‘Deep Learning Algorithms Design and Implementation Based on Differential Privacy,’’ in Machine Learning for Cyber Security ( Chen X., Yan H., Yan Q., Zhang X. (eds) ) ML4CS 2020, Lecture Notes in Computer Science Book Series, Springer, 2020.

[C2] Bo Zhang, Xiaoming Zhang, Yun Liu, Lei Cheng and Zhoujun Li, ‘‘Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation’’, in ACL-IJCNLP 2021 (CCF-A in Natural Language Processing) .

[C1] Bo Zhang, Xiaoming Zhang, Yun Liu, and Lei Cheng, “Discriminative Feature Adaptation via Conditional Mean Discrepancy for Cross-domain Text Classification,” in Database Systems for Advanced Applications (DASFAA 2021, CCF-B in Data Mining).

Topic 1 Bayesian Learning for Tensor Data Analytics: [J5 TSP-17], [J6 TSP-18], [J8 TSP-20]

Topic 2 Tensor-aided Array Signal Processing and Wireless Communications: [J4 TSP-15], [J7 JSTSP-19], [J12 JSTSP-21]

Topic 3 Machine Learning for Information System: [J9 TNNLS-20], [J11 IOTJ-20], [J12 TCYB-20], [J15 TCCN-21]

[J16] Qianyun Zhang, Xinwei Li, Biyi Wu, Lei Cheng, and Yue Gao, ‘‘On the Complexity Reduction of Beam Selection Algorithms for Beamspace MIMO Systems ’’, to appear in IEEE Wireless Communications Letters (IEEE WCL), Mar. 2021.

[J15] Yihong Dong, Xiaohan Jiang, Lei Cheng, and Qingjiang Shi, “SSRCNN: A Semi-Supervised Learning Framework For Signal Recognition,” to appear in IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), Mar. 2021.

[J14] Qianyun Zhang, Xinwei Li, Lei Cheng, Yuanwei Liu, and Yue Gao, “Power Profile-Based Antenna Selection for Millimeter Wave MIMO With an All-Planar Lens Antenna Array,’’ IEEE Access, vol. 9, pp. 40476 - 40485, Mar. 2021.

[J13] Lei Cheng, and Qingjiang Shi, “Towards Overfitting Avoidance: Tuning-free Tensor-aided Multi-user Channel Estimation for 3D Massive MIMO Communications,” IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP) - Special Issue on Tensor Decomposition for Signal Processing and Machine Learning, Jan. 2021.

[J12] Yun Liu, Xiaoming Zhang, Bo Zhang, Lei Cheng, and Zhoujun Li, “ALSA: Adversarial Learning of Supervised Attentions for Visual Question Answering,” IEEE Trans. on Cybernetics (IEEE TCYB), Nov. 2020.

[J11] Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, and Yik-Chung Wu, “Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning,” IEEE Internet of Things Journal (IEEE IOTJ), vol. 8, no. 4, pp. 2959-2975, Feb. 2021.

[J10] Qianyun Zhang, Li Gong, Lei Cheng, Yue Gao, and Xiaoqian Ren, “An Unmanned Aerial Vehicle Flight Formation for Enhanced Emergency Communication based on Conformal Antenna Design,” Journal of Communications and Information Networks (JCIN), vol. 5, no. 3, pp. 294-301, Sep. 2020.

[J9] Yun Liu, Xiaoming Zhang, Feiran Huang, Lei Cheng, and Zhoujun Li, “Adversarial Learning with Multi-modal Attention for Visual Question Answering,” IEEE Trans. on Neural Networks and Learning Systems (IEEE TNNLS), Aug. 2020.

[J8] Lei Cheng, Xueke Tong, Shuai Wang, Yik-Chung Wu, and H. Vincent Poor, “Learning Nonnegative Factors from Tensor Data: Probabilistic Modeling and Inference Algorithm,” IEEE Trans. on Signal Processing (IEEE TSP), vol. 68, pp. 1792-1806, Feb. 2020.

[J7] Lei Cheng, Chengwen Xing, and Yik-Chung Wu, “Irregular Array Manifold Aided Channel Estimation in Massive MIMO Communications,” IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP)- Special Issue on Array Signal Processing for Angular Models in Massive MIMO Communications, vol. 13, no. 5, pp. 974-988, Sep. 2019.

[J6] Lei Cheng, Yik-Chung Wu, and H. Vincent Poor, “Scaling Probabilistic Tensor Canonical Polyadic Decomposition to Massive Data,” IEEE Trans. on Signal Processing (IEEE TSP), vol. 66, no. 21, pp. 5534-5548, Nov. 2018.

[J5] Lei Cheng, Yik-Chung Wu, and H. Vincent Poor, “Probabilistic Tensor Canonical Polyadic Decomposition with Orthogonal Factors,” IEEE Trans. on Signal Processing (IEEE TSP), vol. 65, no. 3, pp. 663-676, Feb. 2017.

[J4] Lei Cheng, Yik-Chung Wu, Jianzhong (Charlie) Zhang, and Lingjia Liu, “Subspace Identification for DOA Estimation in Massive Full-dimension MIMO Systems: Bad Data Mitigation and Automatic Source Enumeration,” IEEE Trans. on Signal Processing (IEEE TSP), vol. 63, no. 22, pp. 5897-5909, Nov. 2015.

[J3] Bin Luo, Lei Cheng, and Yik-Chung Wu, “Fully-distributed Clock Synchronization in Wireless Sensor Networks Under Exponential Delay,” Signal Processing (SP), vol. 215, pp. 261-273, Aug. 2016.

[J2] Lei Cheng, and Yik-Chung Wu, “Infrastructureless Synchronization for Device-to-Device Discovery,” IEEE COMSOC Multimedia Communications Technical Committee E-Letter, vol. 9, no. 1, pp. 43-45, Jan. 2014. (Invited paper)

[J1] Zibin Yu, Lei Cheng, Hangfang Zhao, and Xianyi Gong, “Optimal Invariant Detection of a Monochromatic Plane Wave with Unknown Amplitude, Frequency, Phase, DOA and Noise Variance,” IET Radar, Sonar & Navigation, vol. 8, no. 5, pp. 465-478, Jun. 2014.

Signal Processing Conferences: [C9 ICASSP 2021, CCF-B], [C7 SPWAC 2020], [C5, C6 SAM 2020], [C4 SPAWC 2017], [C1 ChinaSIP 2013]

Communication Conferences: [C8 WCNC 2021], [C3 GLOBECOM 2015], [C2 ICCCS 2014]

[C9] Kai Li, Ying Li, Lei Cheng, Qingjiang Shi and Zhi-Quan Luo, “Pushing The Limit of Type I Codebook For FDD Massive MIMO Beamforming: A Channel Covariance Reconstruction Approach”, in IEEE ICASSP 2021 (available online at arXiv).

[C8] Yihong Dong, Xiaohan Jiang, Lei Cheng and Qingjiang Shi, “Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion,” in IEEE WCNC 2021.

[C7] Lei Cheng, Liang Liu, and Shuguang Cui, “A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design,” in IEEE SPAWC 2020.

[C6] Zhongtao Chen and Lei Cheng, “Mitigating Outliers for Bayesian Mixture of Factor Analyzers,” in IEEE SAM 2020. (The first author is CUHK-SZ undergraduate student)

[C5] Lei Cheng, Xueke Tong, and Yik-Chung Wu,“Distributed Nonnegative Tensor Canonical Polyadic Decomposition with Automatic Rank Determination,” in IEEE SAM 2020.

[C4] Lei Cheng, Shaodan Ma, Yik-Chung Wu, Jianzhong (Charlie) Zhang, and Lingjia Liu, “Channel Estimation in Full-dimensional Massive MIMO System Using One Training Symbol,” in IEEE SPAWC 2017.

[C3] Lei Cheng, Yik-Chung Wu, Lingjia Liu, and Jianzhong (Charlie) Zhang, “Tensor-based Robust DOA Estimation in Massive MIMO System,” in IEEE GlOBECOM 2015.

[C2] Bin Luo, Lei Cheng and Yik-Chung Wu, “Fully-distributed Joint Clock Synchronization and Ranging in Wireless Sensor Networks under Exponential Delays,” in IEEE ICCS 2014.

[C1] Zibin Yu, Lei Cheng, Hangfang Zhao and Xianyi Gong, “Optimal Invariant Detection of a Monochromatic Plane with Five Unknown Parameters,” in IEEE ChinaSIP 2013.