Maximum-minimum spatial spectrum detection for cognitive radio using parasitic antenna arrays. - Chang Liu 003; Minglu Jin (ICCC, 2014)

Energy Efficient CCC based AODV Routing Protocol for Cognitive Radio Ad-Hoc Networks. - Satish Anamalamudi; Chang Liu 003; Minglu Jin (J. Commun., 2014)

A Comparison of Spectrum-Sensing Algorithms Based on Eigenvalues. - Syed Sajjad Ali; Jialong Liu; Chang Liu 003; Minglu Jin (J. Inform. and Commun. Convergence Engineering, 2015)

Blind Energy-based Detection for Spatial Spectrum Sensing. - Chang Liu 003; Ming Li; Minglu Jin (IEEE Wirel. Commun. Lett., 2015)

Pooling Based Coexistence Scheme for D2D Communication Underlaying Cellular Networks. - Jie Chen 024; Xulong Li 002; Husheng Li; Chang Liu 003; Shaoqian Li (GLOBECOM, 2016)

On the Eigenvalue Based Detection for Multiantenna Cognitive Radio System. - Syed Sajjad Ali; Chang Liu 003; Jialong Liu; Minglu Jin; Jae Moung Kim (Mob. Inf. Syst., 2016)

A Categorized Resource Sharing Mechanism for Device-to-Device Communications in Cellular Networks. - Jie Chen 024; Chang Liu 003; Husheng Li; Xulong Li 002; Shaoqian Li (Mob. Inf. Syst., 2016)

Blind Central-Symmetry-Based Feature Detection for Spatial Spectrum Sensing. - Chang Liu 003; Husheng Li; Minglu Jin (IEEE Trans. Veh. Technol., 2016)

On Demand Priority Packet Forwarding for TCP Performance Enhancement in Cognitive Mobile IP Networks. - Satish Anamalamudi; Minglu Jin; Jae Moung Kim; Chang Liu 003 (Wirel. Pers. Commun., 2016)

Uncertainty principle based spatial-temporal resolution tradeoff for cognitive radio networks. - Chang Liu 003; Husheng Li; Jie Wang 003; Minglu Jin; Jae Moung Kim (ICC, 2017)

A blind weighted MUSIC based detection for spatial spectrum sensing. - Syed Sajjad Ali; Chang Liu 003; Jialong Liu; Minglu Jin; Sang-Jo Yoo; Jae Moung Kim (ICTC, 2017)

Optimal Eigenvalue Weighting Detection for Multi-Antenna Cognitive Radio Networks. - Chang Liu 003; Husheng Li; Jie Wang 003; Minglu Jin (IEEE Trans. Wirel. Commun., 2017)

Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions. - Chang Liu 003; Ming Ding 001; Chuan Ma 001; Qingzhi Li; Zihuai Lin; Ying-Chang Liang (ICC Workshops, 2018)

A Reinforcement Learning Based User Association Algorithm for UAV Networks. - Qingzhi Li; Ming Ding 001; Chuan Ma 001; Chang Liu 003; Zihuai Lin; Ying-Chang Liang (ITNAC, 2018)

An efficient Moving Morphable Component (MMC)-based approach for multi-resolution topology optimization. - Chang Liu 003; Yichao Zhu; Zhi Sun; Dingding Li; Zongliang Du; Weisheng Zhang; Xu Guo (CoRR, 2018)

Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control. - Chettupally Anil Carie; Mingchu Li; Chang Liu 003; Prakasha Reddy; Waseef Jamal (Future Gener. Comput. Syst., 2018)

Low-Complexity Detection Algorithms for Spatial Modulation MIMO Systems. - Xinhe Zhang; Yuehua Zhang; Chang Liu 003; Hanzhong Jia (J. Electr. Comput. Eng., 2018)

Regression with Support Vector Machines and VGG Neural Networks. - Su Wu; Chang Liu 003; Ziheng Wang; Shaozhi Wu; Kai Xiao (AMLTA, 2019)

Deep CNN for Spectrum Sensing in Cognitive Radio. - Chang Liu 003; Xuemeng Liu; Ying-Chang Liang (ICC, 2019)

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Yue Zhang 011; Zexin Wang 003; Zhikang Wang; Zichen Song; Ziming Liu; Liefeng Bo; Hailin Shi; Rui Zhu 005; Aashish Kumar; Aijin Li; Almaz Zinollayev; et al. (ICCV Workshops, 2019)

VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. - Longyin Wen; Yue Zhang 011; Liefeng Bo; Hailin Shi; Rui Zhu 005; Ajit Jadhav; Bing Dong; Brejesh Lall; Chang Liu 003; Chunhui Zhang; Dong Wang 004; Pengfei Zhu 001; et al. (ICCV Workshops, 2019)

Reliability Modeling and Optimization for Large-Scale Network Systems. - Sa Meng; Yuanshun Dai; Liang Luo; Chang Liu 003 (QRS Companion, 2019)

On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy. - Dingchuan Xue; Yichao Zhu; Shaoshuai Li; Chang Liu 003; Weisheng Zhang; Xu Guo (CoRR, 2019)

Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach. - Chang Liu 003; Zongliang Du; Yichao Zhu; Weisheng Zhang; Xiaoyu Zhang; Xu Guo (CoRR, 2019)

Activity Pattern Aware Spectrum Sensing: A CNN-Based Deep Learning Approach. - Jiandong Xie; Chang Liu 003; Ying-Chang Liang; Jun Fang 001 (IEEE Commun. Lett., 2019)

Deep CM-CNN for Spectrum Sensing in Cognitive Radio. - Chang Liu 003; Jie Wang 003; Xuemeng Liu; Ying-Chang Liang (IEEE J. Sel. Areas Commun., 2019)

Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio. - Chang Liu 003; Jie Wang 003; Xuemeng Liu; Ying-Chang Liang (IEEE Trans. Veh. Technol., 2019)

Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications. - Chang Liu 003; Xuemeng Liu; Zhiqiang Wei 001; Derrick Wing Kwan Ng; Jinhong Yuan; Ying-Chang Liang (GLOBECOM, 2020)

Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach. - Jiandong Xie; Jun Fang 001; Chang Liu 003; Xuanheng Li (IEEE Commun. Lett., 2020)

Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach. - Jiandong Xie; Jun Fang 001; Chang Liu 003; Linxiao Yang (IEEE Trans. Veh. Technol., 2020)

Learning-Based Predictive Beamforming for UAV Communications With Jittering. - Weijie Yuan 001; Chang Liu 003; Fan Liu 005; Shuangyang Li; Derrick Wing Kwan Ng (IEEE Wirel. Commun. Lett., 2020)

Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. - Chang Liu 003; Xuemeng Liu; Zhiqiang Wei 001; Shaokang Hu; Derrick Wing Kwan Ng; Jinhong Yuan (GLOBECOM, 2021)

Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems. - Chang Liu 003; Xuemeng Liu; Derrick Wing Kwan Ng; Jinhong Yuan (ICC, 2021)

Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems With Self-Sustainable IRS. - Shaokang Hu; Zhiqiang Wei 001; Yuanxin Cai; Chang Liu 003; Derrick Wing Kwan Ng; Jinhong Yuan (IEEE Trans. Commun., 2021)

Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications. - Chang Liu 003; Zhiqiang Wei 001; Derrick Wing Kwan Ng; Jinhong Yuan; Ying-Chang Liang (IEEE Trans. Wirel. Commun., 2021)

Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach. - Chang Liu 003; Weijie Yuan 001; Zhiqiang Wei 001; Xuemeng Liu; Derrick Wing Kwan Ng (IEEE Wirel. Commun. Lett., 2021)

Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications. - Xuemeng Liu; Chang Liu 003; Yonghui Li 001; Branka Vucetic; Derrick Wing Kwan Ng (IEEE Wirel. Commun. Lett., 2021)

Trajectory Design and Resource Allocation for UAV-Enabled Data Collection in Wireless Sensor Networks with 3D Blockages. - Yuanxin Cai; Weijie Yuan 001; Zhiqiang Wei 001; Chang Liu 003; Shaokang Hu; Derrick Wing Kwan Ng (6GNet, 2022)

Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach. - Chang Liu 003; Weijie Yuan 001; Shuangyang Li; Xuemeng Liu; Derrick Wing Kwan Ng; Yonghui Li 001 (ICC, 2022)

Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems. - Shaokang Hu; Chang Liu 003; Zhiqiang Wei 001; Yuanxin Cai; Derrick Wing Kwan Ng; Jinhong Yuan (ICC, 2022)

Deep Residual Learning for OTFS Channel Estimation with Arbitrary Noise. - Xiaoqi Zhang 003; Weijie Yuan 001; Chang Liu 003 (ICCC Workshops, 2022)

Deep Learning with a Self-Adaptive Threshold for OTFS Channel Estimation. - Xiaoqi Zhang 003; Weijie Yuan 001; Chang Liu 003; Fan Liu 005; Miaowen Wen (ISWCS, 2022)

Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach. - Chang Liu 003; Xuemeng Liu; Zhiqiang Wei 001; Derrick Wing Kwan Ng; Robert Schober (CoRR, 2022)

Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks. - Chang Liu 003; Weijie Yuan 001; Shuangyang Li; Xuemeng Liu; Husheng Li; Derrick Wing Kwan Ng; Yonghui Li 001 (IEEE J. Sel. Areas Commun., 2022)

A Novel ISAC Transmission Framework Based on Spatially-Spread Orthogonal Time Frequency Space Modulation. - Shuangyang Li; Weijie Yuan 001; Chang Liu 003; Zhiqiang Wei 001; Jinhong Yuan; Baoming Bai; Derrick Wing Kwan Ng (IEEE J. Sel. Areas Commun., 2022)

Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation. - Jie Chen 024; Chang Liu 003; Jiawu Xie; Jie An; Nan Huang (Sensors, 2022)

Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications. - Yuanxin Cai; Zhiqiang Wei 001; Shaokang Hu; Chang Liu 003; Derrick Wing Kwan Ng; Jinhong Yuan (IEEE Trans. Wirel. Commun., 2022)

Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications. - Chang Liu 003; Xuemeng Liu; Derrick Wing Kwan Ng; Jinhong Yuan (IEEE Trans. Wirel. Commun., 2022)

Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks. - Chang Liu 003; Xuemeng Liu; Shuangyang Li; Weijie Yuan 001; Derrick Wing Kwan Ng (J. Commun. Inf. Networks, 2022)

A NUMA-aware Graph Database for Hybrid Memory System. - Shaoheng Tan; Chang Liu 003; Dingding Li; Yong Tang 001; Deze Zeng (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC. - Chang Liu 003; Shuangyang Li; Weijie Yuan 001; Xuemeng Liu; Derrick Wing Kwan Ng (ICC, 2023)

An Unequal Error Protection-based Coded Transmission for Federated Learning. - Qingya Lu; Rongchi Xu; Chang Liu 003; Shuangyang Li; Baoming Bai (ICCC Workshops, 2023)

Data-Driven OTFS Channel Estimation Based on Gated Recurrent Convolutional Autoencoder. - Junshen Chen; Qihao Yuan; Shiyao Zhang; Chang Liu 003 (ISCIT, 2023)

Deep Learning-Based Cramér-Rao Bound Optimization for Integrated Sensing and Communication in Vehicular Networks. - Xiaoqi Zhang 003; Weijie Yuan 001; Chang Liu 003; Jun Wu 023; Zhongjie Li (SPAWC, 2023)

Integrated Sensing and Communication in Coordinated Cellular Networks. - Dongfang Xu; Chang Liu 003; Shenghui Song 001; Derrick Wing Kwan Ng (SSP, 2023)

Enhanced Channel Estimation for OTFS-Assisted ISAC in Vehicular Networks: A Deep Learning Approach. - Xiaoqi Zhang 003; Hongjia Huang; Long Tan; Weijie Yuan 001; Chang Liu 003 (WiOpt, 2023)

A novel explicit design method for complex thin-walled structures based on embedded solid moving morphable components. - Wendong Huo; Chang Liu 003; Yunpu Liu; Zongliang Du; Weisheng Zhang; Xu Guo (CoRR, 2023)

Short-Packet Covert Communication in Interweave Cognitive Radio Networks. - Xingbo Lu; Shihao Yan; Weiwei Yang 001; Chang Liu 003; Derrick Wing Kwan Ng (IEEE Trans. Veh. Technol., 2023)

Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach. - Chang Liu 003; Shuangyang Li; Weijie Yuan 001; Xuemeng Liu; Derrick Wing Kwan Ng (IEEE J. Sel. Areas Commun., 2023)

IRS-Aided Secure Communications Over an Untrusted AF Relay System. - Chang Liu 003; Jiayu Zhou; Ying Gao; Deli Qiao; Haifeng Qian (IEEE Trans. Wirel. Commun., 2023)

Joint Beamforming Design for Secure Communications Over An IRS-Aided Untrusted Relay Network. - Chang Liu 003; Deli Qiao; Haifeng Qian (WCNC, 2024)

Spatial-temporal initialization dilemma: towards realistic visual tracking. - Chang Liu 003; Yongsheng Yuan; Xin Chen 032; Huchuan Lu; Dong Wang 004 (Vis. Intell., 2024)

Predictive Beamforming for Vehicles With Complex Behaviors in ISAC Systems: A Deep Learning Approach. - Xiaoqi Zhang 003; Weijie Yuan 001; Chang Liu 003; Jun Wu 023; Derrick Wing Kwan Ng (IEEE J. Sel. Top. Signal Process., 2024)

Integrated Sensing, Navigation, and Communication for Secure UAV Networks With a Mobile Eavesdropper. - Zhiqiang Wei 001; Fan Liu 005; Chang Liu 003; Zai Yang; Derrick Wing Kwan Ng; Robert Schober (IEEE Trans. Wirel. Commun., 2024)

Networked Integrated Sensing and Communications for 6G Wireless Systems. - Jiapeng Li; Xiaodan Shao; Feng Chen 023; Shaohua Wan 001; Chang Liu 003; Zhiqiang Wei 001; Derrick Wing Kwan Ng (IEEE Internet Things J., 2024)

Sparse Prior-Guided Deep Learning for OTFS Channel Estimation. - Xiaoqi Zhang 003; Chang Liu 003; Weijie Yuan 001; J. Andrew Zhang; Derrick Wing Kwan Ng (IEEE Trans. Veh. Technol., 2024)

Intelligent Cloud-Edge Collaboration for Mixed Continuous-Discrete Resource Allocation in Heterogeneous Networks. - Lin Zhang 022; Fucheng Zhai; Chang Liu 003; Ming Xiao 001 (IEEE Trans. Wirel. Commun., 2024)

Deep-Learning-Based Compensation Mechanism for UAV Sensing via OTFS Signaling. - Ziyu Yan; Weijie Yuan 001; Xiaoqi Zhang 003; Chang Liu 003; Jun Wu 023; Tony Q. S. Quek (IEEE Internet Things J., 2025)

Motif and supernode-enhanced gated graph neural networks for session-based recommendation. - Ronghua Lin; Chang Liu 003; Hao Zhong 007; Chengzhe Yuan; Guohua Chen; Yuncheng Jiang; Yong Tang 001 (Neural Networks, 2025)

Integrated STAR-RIS and UAV for Satellite IoT Communications: An Energy-Efficient Approach. - William D. Lukito; Wei Xiang 001; Phu Lai; Peng Cheng 002; Chang Liu 003; Kan Yu 002; Xiaoyan Zhu 005 (IEEE Internet Things J., 2025)

Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization. - Phu Lai; Wei Xiang 001; William D. Lukito; Khoa Tran Phan; Peng Cheng 002; Chang Liu 003; Guoqiang Mao (IEEE Trans. Veh. Technol., 2025)