Integrating Rough Set and Genetic Algorithm for Negative Rule Extraction. - Junyu Liu; Yubao Liu; Yan Long (IDEAL, 2009)

A Distributed Opportunistic scheduling protocol for device-to-device communications. - Junyu Liu; Min Sheng; Yan Zhang 006; Xijun Wang 001; Hongguang Sun; Yan Shi 001 (PIMRC, 2013)

Joint scheduling and power control for α-utility maximization in wireless ad-hoc networks with successive interference cancellation. - Xuan Li; Min Sheng; Xijun Wang 001; Junyu Liu (WCNC, 2014)

Comp Transmission in Cloud Radio Access Networks. - Junyu Liu; Min Sheng; Tony Q. S. Quek; Jiandong Li 001 (GLOBECOM Workshops, 2015)

Analysis of transmission capacity region in D2D integrated cellular networks with power control. - Junyu Liu; Min Sheng; Xijun Wang 001; Yan Zhang 006; Hongguang Sun; Jiandong Li 001 (ICC, 2015)

Modeling SCMA in D2D underlaid cellular network. - Junyu Liu; Yan Shi 001; Lei Liu 005; Min Sheng; Jiandong Li 001 (ICCC, 2015)

Resource allocation in device-to-device communication underlaid cellular network using SCMA: An opportunistic approach. - Kepeng Zhao; Yan Shi 001; Yanpeng Dai; Lei Liu 005; Junyu Liu; Min Sheng; Jiandong Li 001 (ICCC, 2015)

On-demand scheduling: achieving QoS differentiation for D2D communications. - Min Sheng; Hongguang Sun; Xijun Wang 001; Yan Zhang 006; Tony Q. S. Quek; Junyu Liu; Jiandong Li 001 (IEEE Commun. Mag., 2015)

On Transmission Capacity Region of D2D Integrated Cellular Networks With Interference Management. - Min Sheng; Junyu Liu; Xijun Wang 001; Yan Zhang 006; Hongguang Sun; Jiandong Li 001 (IEEE Trans. Commun., 2015)

D2D enhanced cloud radio access networks with coordinated multi-point. - Junyu Liu; Min Sheng; Tony Q. S. Quek; Jiandong Li 001 (ICC, 2016)

Interference-aware resource allocation for D2D underlaid cellular network using SCMA: A hypergraph approach. - Yanpeng Dai; Min Sheng; Kepeng Zhao; Lei Liu 005; Junyu Liu; Jiandong Li 001 (WCNC, 2016)

Performance analysis of SCMA ad hoc networks: A stochastic geometry approach. - Lei Liu 005; Min Sheng; Junyu Liu; Yuzhou Li 001; Jiandong Li 001 (WCNC, 2016)

Minimum delay guaranteed cooperative device-to-device caching in 5G wireless networks. - Melkamu Deressa Amentie; Min Sheng; Jiongjiong Song; Junyu Liu (WCSP, 2016)

Graph-based joint mode selection and resource allocation scheme for D2D and cellular hybrid network using SCMA. - Kepeng Zhao; Min Sheng; Junyu Liu; Yanpeng Dai; Lei Liu 005; Yan Shi 001; Jiandong Li 001 (WCSP, 2016)

Enhancement for content delivery with proximity communications in caching enabled wireless networks: architecture and challenges. - Min Sheng; Chao Xu 007; Junyu Liu; Jiongjiong Song; Xiao Ma 007; Jiandong Li 001 (IEEE Commun. Mag., 2016)

How Dense is Ultra-Dense for Wireless Networks: From Far- to Near-Field Communications. - Junyu Liu; Min Sheng; Lei Liu 005; Jiandong Li 001 (CoRR, 2016)

D2D Enhanced Co-Ordinated Multipoint in Cloud Radio Access Networks. - Junyu Liu; Min Sheng; Tony Q. S. Quek; Jiandong Li 001 (IEEE Trans. Wirel. Commun., 2016)

DO-Fast: a round-robin opportunistic scheduling protocol for device-to-device communications. - Junyu Liu; Yan Shi 001; Yan Zhang 006; Xijun Wang 001; Hongguang Sun; Min Sheng (Wirel. Commun. Mob. Comput., 2016)

The Impact of Antenna Height Difference on the Performance of Downlink Cellular Networks. - Junyu Liu; Min Sheng; Kan Wang; Jiandong Li 001 (GLOBECOM, 2017)

3D Indoor localization based on spectral clustering and weighted backpropagation neural networks. - Linlin Peng; Junyu Liu; Min Sheng; Yan Zhang 006; Danni Hou; Yang Zheng 003; Jiandong Li 001 (ICCC, 2017)

Long-term reliable visual tracking with UAVs. - Zhenshen Qu; Xiao Lv; Junyu Liu; Li Jiang; Liang Liang; Weinan Xie (SMC, 2017)

Indoor Localization with Irregular Antenna Deployment. - Yang Zheng 003; Junyu Liu; Min Sheng; Jiandong Li 001 (VTC Fall, 2017)

Robust indoor localization in ultra dense networks: A fingerprint similarity approach. - Danni Hou; Junyu Liu; Min Sheng; Yan Zhang 006; Linlin Peng; Yang Zheng 003; Jiandong Li 001 (WCSP, 2017)

Maximizing Quality of Experience in Device-to-Device Communication Using an Evolutionary Algorithm Based on Users' Behavior. - Melkamu Deressa Amentie; Min Sheng; Martin O. Wimmers; Junyu Liu; Muluneh Mekonnen (IEEE Access, 2017)

Network Densification in 5G: From the Short-Range Communications Perspective. - Junyu Liu; Min Sheng; Lei Liu 005; Jiandong Li 001 (IEEE Commun. Mag., 2017)

The Impact of Antenna Height Difference on the Performance of Downlink Cellular Networks. - Junyu Liu; Min Sheng; Jiandong Li 001 (CoRR, 2017)

MISO in Ultra-Dense Networks: Balancing the Tradeoff between User and System Performance. - Junyu Liu; Min Sheng; Jiandong Li 001 (CoRR, 2017)

Backtracking Codebook Matching Algorithm Based on Codebook Correlation for Uplink SCMA System. - Yanpeng Dai; Min Sheng; Junyu Liu; Lei Liu 005; Jiandong Li 001 (IEEE Commun. Lett., 2017)

Effect of Densification on Cellular Network Performance With Bounded Pathloss Model. - Junyu Liu; Min Sheng; Lei Liu 005; Jiandong Li 001 (IEEE Commun. Lett., 2017)

Interference Management in Ultra-Dense Networks: Challenges and Approaches. - Junyu Liu; Min Sheng; Lei Liu 005; Jiandong Li 001 (IEEE Netw., 2017)

Modeling and Analysis of SCMA Enhanced D2D and Cellular Hybrid Network. - Junyu Liu; Min Sheng; Lei Liu 005; Yan Shi 001; Jiandong Li 001 (IEEE Trans. Commun., 2017)

Label Distribution Learning by Exploiting Label Correlations. - Xiuyi Jia; Weiwei Li 001; Junyu Liu; Yu Zhang 056 (AAAI, 2018)

PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection. - Zhenshen Qu; Jianxiong Shen; Ruikun Li 005; Junyu Liu; Qiuyu Guan (CSAI/ICIMT, 2018)

Resource Allocation for Low-Latency Mobile Edge Computation Offloading in NOMA Networks. - Yanpeng Dai; Min Sheng; Junyu Liu; Nan Cheng; Xuemin Shen (GLOBECOM, 2018)

Caching in Ultra-Dense Small Cell Networks with Limited Backhaul. - Tongxin Li; Junyu Liu; Min Sheng; Jiandong Li 001 (GLOBECOM, 2018)

Modeling and Analysis of UAV Assisted Cellular Network. - Ruiling Lyu; Junyu Liu; Min Sheng; Jiandong Li 001 (GLOBECOM, 2018)

An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographs. - Junyu Liu; Yang Liu 003; Cheng Wang; Anwei Li; Bowen Meng; Xiangfei Chai; Panli Zuo (ICANN (2), 2018)

OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction. - Zhenshen Qu; Junyu Liu; Yang Liu 003; Qiuyu Guan; Chunyu Yang; Yuxin Zhang (ICANN (3), 2018)

A Novel System for Fingerprint Orientation Estimation. - Zhenshen Qu; Junyu Liu; Yang Liu 003; Qiuyu Guan; Ruikun Li 005; Yuxin Zhang (IGTA, 2018)

Spectral efficiency optimization in caching enabled ultra-dense small cell networks. - Tongxin Li; Junyu Liu; Min Sheng; Jiandong Li 001 (INFOCOM Workshops, 2018)

AP-sequence Based Fingerprint Similarity Indoor Localization. - Linlin Peng; Junyu Liu; Min Sheng; Yan Zhang 006; Danni Hou; Yang Zheng 003; Jiandong Li 001 (WCSP, 2018)

Design of Event-Triggered Fault-Tolerant Control for Stochastic Systems with Time-Delays. - Yi Gao; Yunji Li; Li Peng 004; Junyu Liu (Sensors, 2018)

Performance of Small Cell Networks Under Multislope Bounded Pathloss Model: From Sparse to Ultradense Deployment. - Junyu Liu; Min Sheng; Lei Liu 005; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2018)

Success Probability and Area Spectral Efficiency in SCMA Wireless Networks. - Lei Liu 005; Min Sheng; Junyu Liu; Xijun Wang 001; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2018)

Improving Network Capacity Scaling Law in Ultra-Dense Small Cell Networks. - Junyu Liu; Min Sheng; Jiandong Li 001 (IEEE Trans. Wirel. Commun., 2018)

Limitation of SDMA in Ultra-Dense Small Cell Networks. - Junyu Liu; Min Sheng; Jiandong Li 001 (IEEE Wirel. Commun. Lett., 2018)

A Multi-Radio Multi-Channel Assignment Algorithm Based on Topology Control and Link Interference Weight for a Power Distribution Wireless Mesh Network. - Xiongwen Zhao; Siyuan Zhang; Liang Li; Zhaoyan Qu; Yu Zhang 056; Yi Ding; Junyu Liu (Wirel. Pers. Commun., 2018)

Delay-Efficient Offloading for NOMA-MEC with Asynchronous Uploading Completion Awareness. - Yanpeng Dai; Min Sheng; Junyu Liu; Nan Cheng; Xuemin Shen (GLOBECOM, 2019)

Wireless Backhaul: Intrinsic Bottleneck of Ultra-Dense Networks? - Yaqian Zhang 003; Junyu Liu; Min Sheng; Ziwen Xie; Jiandong Li 001 (GLOBECOM, 2019)

Effect of Interference Correlation on the Performance of Ultra-Dense Networks. - Ziwen Xie; Junyu Liu; Min Sheng; Yaqian Zhang 003; Jiandong Li 001 (ICC, 2019)

Fingerprint Similarity Indoor Localization: An AP Selection Based Approach. - Chengyi Zhou; Junyu Liu; Min Sheng; Linlin Peng; Danni Hou; Jiandong Li 001 (ICCC, 2019)

A Locating Model for Pulmonary Tuberculosis Diagnosis in Radiographs. - Jiwei Liu; Junyu Liu; Yang Liu 003; Rui Yang; Dongjun Lv; Zhengting Cai; Jingjing Cui (CoRR, 2019)

Prediction stability as a criterion in active learning. - Junyu Liu; Xiang Li; Jin Wang; Jiqiang Zhou; Jianxiong Shen (CoRR, 2019)

Modelling and comparison for low-voltage broadband power line noise using LS-SVM and wavelet neural networks. - Xiongwen Zhao; Hui Zhang; Liang Li; Wenbing Lu; Yi Ding; Junyu Liu (IET Commun., 2019)

Performance Analysis and Optimization of UAV Integrated Terrestrial Cellular Network. - Junyu Liu; Min Sheng; Ruiling Lyu; Jiandong Li 001 (IEEE Internet Things J., 2019)

A New Method for Refining the GNSS-Derived Precipitable Water Vapor Map. - Chen Liu; Nanshan Zheng; Kefei Zhang; Junyu Liu (Sensors, 2019)

Stable Throughput Region and Average Delay Analysis of Uplink NOMA Systems With Unsaturated Traffic. - Lei Liu 005; Min Sheng; Junyu Liu; Yanpeng Dai; Jiandong Li 001 (IEEE Trans. Commun., 2019)

OpArray: Exploiting Array Orientation for Accurate Indoor Localization. - Yang Zheng 003; Min Sheng; Junyu Liu; Jiandong Li 001 (IEEE Trans. Commun., 2019)

Joint Mode Selection and Resource Allocation for D2D-Enabled NOMA Cellular Networks. - Yanpeng Dai; Min Sheng; Junyu Liu; Nan Cheng; Xuemin Shen; Qinghai Yang (IEEE Trans. Veh. Technol., 2019)

Exploiting AoA Estimation Accuracy for Indoor Localization: A Weighted AoA-Based Approach. - Yang Zheng 003; Min Sheng; Junyu Liu; Jiandong Li 001 (IEEE Wirel. Commun. Lett., 2019)

Joint Sociality and Load Balance for Proactive Caching in Wireless Networks. - Chenxi Zhao; Junyu Liu; Min Sheng; Yanpeng Dai; Jiandong Li 001 (GLOBECOM, 2020)

Hybrid RSS/CSI Fingerprint Aided Indoor Localization: A Deep Learning based Approach. - Chengyi Zhou; Junyu Liu; Min Sheng; Jiandong Li 001 (GLOBECOM, 2020)

Prediction Stability as a Criterion in Active Learning. - Junyu Liu; Xiang Li; Jiqiang Zhou; Jianxiong Shen (ICANN (2), 2020)

Towards Effective Tradeoff Between Content Caching and Retrieving in Dense Small Cell Network. - Xiaona Zhao; Junyu Liu; Min Sheng; Jiandong Li 001; Shuang Ni (ICC, 2020)

Obstacle-aware Access Points Deployment for Angle-of-arrival Based Indoor Localization. - Yang Zheng 003; Junyu Liu; Min Sheng; Shahrokh Valaee; Yan Shi 001 (ICC, 2020)

Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM. - Junyu Liu; Xiao Wang; Yan Zhao 030; Bin Dong 001; Kuan Lu; Ranran Wang 002 (IEEE Access, 2020)

RODE-Net: Learning Ordinary Differential Equations with Randomness from Data. - Junyu Liu; Zichao Long; Ranran Wang 002; Jie Sun; Bin Dong 001 (CoRR, 2020)

Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network. - Junyu Liu; Min Sheng; Ruiling Lyu; Yan Shi 001; Jiandong Li 001 (IEEE J. Sel. Areas Commun., 2020)

Towards Efficient Retransmission in Dense Networks With Interference Correlation. - Ziwen Xie; Junyu Liu; Min Sheng; Jiandong Li 001; Yan Shi 001 (IEEE Trans. Commun., 2020)

Accurate Indoor Localization Assisted With Optimizing Array Orientations and Receiver Positions. - Min Sheng; Yang Zheng 003; Junyu Liu; Shahrokh Valaee; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2020)

Delay-Aware Computation Offloading in NOMA MEC Under Differentiated Uploading Delay. - Min Sheng; Yanpeng Dai; Junyu Liu; Nan Cheng; Xuemin Shen; Qinghai Yang (IEEE Trans. Wirel. Commun., 2020)

Efficient Betweenness Based Content Caching and Delivery Strategy in Wireless Networks. - Chenxi Zhao; Junyu Liu; Min Sheng; Yanpeng Dai (IEEE Wirel. Commun. Lett., 2020)

The Importance Distribution of Drivers' Facial Expressions Varies over Time! - Jiahao Wang; Zeyu Xiong; Yicun Duan; Junyu Liu; Zilin Song; Xiangjun Peng (AutomotiveUI (adjunct), 2021)

Prefetch and Cache Replacement Based on Thompson Sampling for Satellite IoT Network. - Yifan Chen; Junyu Liu; Yan Shi 001; Min Sheng (ICC, 2021)

Joint optimization of user association and resource allocation in cache-enabled terrestrial-satellite integrating network. - Shuang Ni; Junyu Liu; Min Sheng; Jiandong Li 001; Xiaona Zhao (Sci. China Inf. Sci., 2021)

Towards a variational Jordan-Lee-Preskill quantum algorithm. - Junyu Liu; Jinzhao Sun; Xiao Yuan (CoRR, 2021)

Representation Learning via Quantum Neural Tangent Kernels. - Junyu Liu; Francesco Tacchino; Jennifer R. Glick; Liang Jiang; Antonio Mezzacapo (CoRR, 2021)

Polyphonic Sound Event Detection Using Capsule Neural Network on Multi-Type-Multi-Scale Time-Frequency Representation. - Wangkai Jin; Junyu Liu; Jianfeng Ren; Xiangjun Peng (CoRR, 2021)

Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze. - Han Zheng; Zimu Li; Junyu Liu; Sergii Strelchuk; Risi Kondor (CoRR, 2021)

Multi-UAV Trajectory Planning for Energy-Efficient Content Coverage: A Decentralized Learning-Based Approach. - Chenxi Zhao; Junyu Liu; Min Sheng; Wei Teng; Yang Zheng 003; Jiandong Li 001 (IEEE J. Sel. Areas Commun., 2021)

Toward Practical Access Point Deployment for Angle-of-Arrival Based Localization. - Yang Zheng 003; Junyu Liu; Min Sheng; Shuo Han 006; Yan Shi 001; Shahrokh Valaee (IEEE Trans. Commun., 2021)

Joint Optimization of BS Clustering and Power Control for NOMA-Enabled CoMP Transmission in Dense Cellular Networks. - Yanpeng Dai; Junyu Liu; Min Sheng; Nan Cheng; Xuemin Shen (IEEE Trans. Veh. Technol., 2021)

Leveraging the Coupling of Radio Access Network and mmWave Backhaul Network: Modeling and Optimization. - Yaqian Zhang 003; Junyu Liu; Min Sheng; Yan Shi 001; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2021)

Exploiting Fingerprint Correlation for Fingerprint-Based Indoor Localization: A Deep Learning Based Approach. - Chengyi Zhou; Junyu Liu; Min Sheng; Yang Zheng 003; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2021)

Exploiting Aerial Computing for Air-to-Ground Coverage Enhancement. - Ziwen Xie; Junyu Liu; Min Sheng; Nan Zhao 001; Jiandong Li 001 (IEEE Wirel. Commun., 2021)

High Altitude Air-to-Ground Channel Modeling for Fixed-Wing UAV Mounted Aerial Base Stations. - Junyu Liu; Hongwei Zhang; Min Sheng; Yu Su; Shengwei Chen; Jiandong Li 001 (IEEE Wirel. Commun. Lett., 2021)

UAV-Assisted Networks With Underlaid Ambient Backscattering: Modeling and Outage Analysis. - Xu Jiang 002; Min Sheng; Nan Zhao 001; Junyu Liu; Dusit Niyato; F. Richard Yu (GLOBECOM, 2022)

Robust Capacity of Wireless Networks Under Cascading Failures. - Wei Li 012; Junyu Liu; Min Sheng; Jiandong Li 001 (GLOBECOM, 2022)

IRS-Aided Secure MISO-NOMA Networks Towards Internal and External Eavesdropping. - Hui Han; Yang Cao 016; Min Sheng; Junyu Liu; Nan Zhao 001; Dusit Niyato (GLOBECOM, 2022)

Oneiros-OpenDS: An Interactive and Extensible Toolkit for Agile and Automated Developments of Complicated Driving Scenes. - Shuolei Wang; Junyu Liu; Haoxuan Sun; Xiaoxing Ming; Wangkai Jin; Zilin Song; Xiangjun Peng (HCI (34), 2022)

Face2Statistics: User-Friendly, Low-Cost and Effective Alternative to In-vehicle Sensors/Monitors for Drivers. - Zeyu Xiong; Jiahao Wang; Wangkai Jin; Junyu Liu; Yicun Duan; Zilin Song; Xiangjun Peng (HCI (34), 2022)

Delay-aware User Association for Caching Enabled Small Cell Networks. - Yan Wu; Junyu Liu; Min Sheng; Yu Su; Jiandong Li 001 (ICCC, 2022)

Interference-aware Resource Allocation in Satellite Integrated Terrestrial Networks. - Liwen Zhang; Junyu Liu; Min Sheng; Nan Zhao 001; Jiandong Li 001 (ICCC, 2022)

Quantum Computing Methods for Supply Chain Management. - Hansheng Jiang; Zuo-Jun Max Shen; Junyu Liu (SEC, 2022)

Sample-based Prophet for Online Ride-sharing with Fairness. - Baoju Li; En Wang; Funing Yang; Yongjian Yang 001; Wenbin Liu; Zijie Tian; Junyu Liu; Wanbo Zheng (MSN, 2022)

Embedding Learning in Hybrid Quantum-Classical Neural Networks. - Minzhao Liu; Junyu Liu; Rui Liu; Henry Makhanov; Danylo Lykov; Anuj Apte; Yuri Alexeev (QCE, 2022)

Energy-efficient trajectory planning and resource allocation in UAV communication networks under imperfect channel prediction. - Min Sheng; Chenxi Zhao; Junyu Liu; Wei Teng; Yanpeng Dai; Jiandong Li 001 (Sci. China Inf. Sci., 2022)

Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles. - Yicun Duan; Junyu Liu; Wangkai Jin; Xiangjun Peng (CoRR, 2022)

BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs. - Wangkai Jin; Yicun Duan; Junyu Liu; Shuchang Huang; Zeyu Xiong; Xiangjun Peng (CoRR, 2022)

HUT: Enabling High-UTility, Batched Queries under Differential Privacy Protection for Internet-of-Vehicles. - Junyu Liu; Wangkai Jin; Zhenyong He; Xiaoxing Ming; Yicun Duan; Zeyu Xiong; Xiangjun Peng (CoRR, 2022)

An analytic theory for the dynamics of wide quantum neural networks. - Junyu Liu; Khadijeh Najafi; Kunal Sharma; Francesco Tacchino; Liang Jiang; Antonio Mezzacapo (CoRR, 2022)

Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits. - Minzhao Liu; Junyu Liu; Yuri Alexeev; Liang Jiang (CoRR, 2022)

Quantum Kerr Learning. - Junyu Liu; Changchun Zhong; Matthew Otten; Cristian L. Cortes; Chaoyang Ti; Stephen K. Gray; Xu Han (CoRR, 2022)

Laziness, Barren Plateau, and Noise in Machine Learning. - Junyu Liu; Zexi Lin; Liang Jiang (CoRR, 2022)

On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry. - Han Zheng; Zimu Li; Junyu Liu; Sergii Strelchuk; Risi Kondor (CoRR, 2022)

Quantum Data Center: Theories and Applications. - Junyu Liu; Connor T. Hann; Liang Jiang (CoRR, 2022)

Noise can be helpful for variational quantum algorithms. - Junyu Liu; Frederik Wilde; Antonio Anna Mele; Liang Jiang; Jens Eisert (CoRR, 2022)

Group-Equivariant Neural Networks with Fusion Diagrams. - Zimu Li; Han Zheng; Erik H. Thiede; Junyu Liu; Risi Kondor (CoRR, 2022)

Benchmarking variational quantum circuits with permutation symmetry. - Han Zheng; Gokul Subramanian Ravi; Hanrui Wang 002; Kanav Setia; Frederic T. Chong; Junyu Liu (CoRR, 2022)

Integration technology of logistics information resources in electric power enterprises based on web services. - Zijian Zhang; Yu Liang; Yu Cui; Junyu Liu (Int. J. Inf. Technol. Manag., 2022)

IRS-Aided Secure NOMA Networks Against Internal and External Eavesdropping. - Hui Han; Yang Cao 016; Min Sheng; Nan Zhao 001; Junyu Liu; Dusit Niyato (IEEE Trans. Commun., 2022)

Towards a variational Jordan-Lee-Preskill quantum algorithm. - Junyu Liu; Zimu Li; Han Zheng; Xiao Yuan; Jinzhao Sun (Mach. Learn. Sci. Technol., 2022)

A method of human motion reconstruction with sparse joints based on attention mechanism. - Junduo Liu; Junyu Liu; Peng Li (BIBM, 2023)

Research on Common Structure of Motion Data. - Junyu Liu; Huanyi Wang; Yihao Li; Peng Li (BIBM, 2023)

FIGCONs: Exploiting FIne-Grained CONstructs of Facial Expressions for Efficient and Accurate Estimation of In-Vehicle Drivers' Statistics. - Zhuoran Bi; Xiaoxing Ming; Junyu Liu; Xiangjun Peng; Wangkai Jin (HCI (39), 2023)

Characterizing and Optimizing Differentially-Private Techniques for High-Utility, Privacy-Preserving Internet-of-Vehicles. - Yicun Duan; Junyu Liu; Xiaoxing Ming; Wangkai Jin; Zilin Song; Xiangjun Peng (HCI (38), 2023)

BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs. - Junyu Liu; Yicun Duan; Zhuoran Bi; Xiaoxing Ming; Wangkai Jin; Zilin Song; Xiangjun Peng (HCI (39), 2023)

Enabling Efficient Emulation of Internet-of-Vehicles on a Single Machine: Practices and Lessons. - Xiaoxing Ming; Yicun Duan; Junyu Liu; Zhuoran Bi; Haoxuan Sun; Zilin Song; Xiangjun Peng; Wangkai Jin (HCI (47), 2023)

Face Recognition on Point Cloud with Cgan-Top for Denoising. - Junyu Liu; Jianfeng Ren; Hongliang Sun; Xudong Jiang 001 (ICASSP, 2023)

Resource Provisioning for Heterogeneous Services in UAV-Assisted MEC Systems. - Lijiao Zhang; Yanpeng Dai; Ling Lyu; Qiang Ye 002; Nan Cheng; Junyu Liu (ICCC, 2023)

Symmetric Pruning in Quantum Neural Networks. - Xinbiao Wang; Junyu Liu; Tongliang Liu; Yong Luo 002; Yuxuan Du; Dacheng Tao (ICLR, 2023)

SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture. - Han Zheng; Christopher Kang; Gokul Subramanian Ravi; Hanrui Wang 002; Kanav Setia; Frederic T. Chong; Junyu Liu (QCE, 2023)

UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning. - Jia He; Ziye Jia; Chao Dong 001; Junyu Liu; Qihui Wu 001; Jingxian Liu (WCSP, 2023)

Catapult Dynamics and Phase Transitions in Quadratic Nets. - David Meltzer; Junyu Liu (CoRR, 2023)

Complexity of Gaussian boson sampling with tensor networks. - Minzhao Liu; Changhun Oh; Junyu Liu; Liang Jiang; Yuri Alexeev (CoRR, 2023)

Towards provably efficient quantum algorithms for large-scale machine-learning models. - Junyu Liu; Minzhao Liu; Jin-Peng Liu; Ziyu Ye; Yuri Alexeev; Jens Eisert; Liang Jiang (CoRR, 2023)

Supercomputing tensor networks for U(1) symmetric quantum many-body systems. - Minzhao Liu; Changhun Oh; Junyu Liu; Liang Jiang; Yuri Alexeev (CoRR, 2023)

Fundamental causal bounds of quantum random access memories. - Yunfei Wang; Yuri Alexeev; Liang Jiang; Frederic T. Chong; Junyu Liu (CoRR, 2023)

Potential Energy Advantage of Quantum Economy. - Junyu Liu; Hansheng Jiang; Zuo-Jun Max Shen (CoRR, 2023)

xxMD: Benchmarking Neural Force Fields Using Extended Dynamics beyond Equilibrium. - Zihan Pengmei; Yinan Shu; Junyu Liu (CoRR, 2023)

Dynamical phase transition in quantum neural networks with large depth. - Bingzhi Zhang; Junyu Liu; Xiao-Chuan Wu; Liang Jiang; Quntao Zhuang (CoRR, 2023)

Coordinated Intra- and Inter-system Interference Management in Integrated Satellite Terrestrial Networks. - Ziyue Zhang; Min Sheng; Junyu Liu; Jiandong Li 001 (CoRR, 2023)

Geometry-Based Stochastic Probability Models for the LoS and NLoS Paths of A2G Channels Under Urban Scenarios. - Minghui Pang; Qiuming Zhu; Cheng-Xiang Wang 001; Zhipeng Lin 001; Junyu Liu; Chongyu Lv; Zhuo Li (IEEE Internet Things J., 2023)

Dataset for "Estimating truncation effects of quantum bosonic systems using sampling algorithms". - Masanori Hanada; Junyu Liu; Enrico Rinaldi; Masaki Tezuka (Zenodo, 2023)

Dataset for "Estimating truncation effects of quantum bosonic systems using sampling algorithms". - Masanori Hanada; Junyu Liu; Enrico Rinaldi; Masaki Tezuka (Zenodo, 2023)

Coverage enhancement for 6G satellite-terrestrial integrated networks: performance metrics, constellation configuration and resource allocation. - Min Sheng; Di Zhou; Weigang Bai; Junyu Liu; Haoran Li; Yan Shi 001; Jiandong Li 001 (Sci. China Inf. Sci., 2023)

Exploiting Collaborative Computing to Improve Downlink Sum Rate in Satellite Integrated Terrestrial Networks. - Liwen Zhang; Junyu Liu; Min Sheng; Nan Zhao 001; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2023)

Quantum Kerr learning. - Junyu Liu; Changchun Zhong; Matthew Otten; Anirban Chandra; Cristian L. Cortes; Chaoyang Ti; Stephen K. Gray; Xu Han (Mach. Learn. Sci. Technol., 2023)

Congestion Avoidance Social-Aware Caching Strategy in Cache-Enabled Heterogeneous Networks. - Chenxi Zhao; Yan Shi 001; Junyu Liu; Min Sheng; Yu Su; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2023)

The capacity of k-connectivity d-dimensional wireless networks with node failure. - Wei Li 012; Junyu Liu; Min Sheng; Jiandong Li 001 (Sci. China Inf. Sci., 2023)

Outage Analysis of UAV-Aided Networks With Underlaid Ambient Backscatter Communications. - Xu Jiang 002; Min Sheng; Nan Zhao 001; Junyu Liu; Dusit Niyato; F. Richard Yu (IEEE Trans. Wirel. Commun., 2023)

Energy-efficient UAV-NOMA aided wireless coverage with massive connections. - Yuqiao Tong; Min Sheng; Junyu Liu; Nan Zhao 001 (Sci. China Inf. Sci., 2023)

Estimating truncation effects of quantum bosonic systems using sampling algorithms. - Masanori Hanada; Junyu Liu; Enrico Rinaldi; Masaki Tezuka (Mach. Learn. Sci. Technol., 2023)

Enhancing Network Availability in Aerial Disaster Emergency Networks via Coordinated Multi-Point. - Teng Wu; Jiandong Li 001; Junyu Liu; Min Sheng; Chenxi Zhao (GLOBECOM, 2024)

Energy Minimization for Cellular Networks with Practical Power Amplifier: A Lyapunov Optimization Approach. - Xiayu Zhang; Junyu Liu; Min Sheng; Jiandong Li 001; Chenxi Zhao (GLOBECOM, 2024)

Feint Behaviors and Strategies: Formalization, Implementation and Evaluation. - Junyu Liu; Xiangjun Peng (NeurIPS, 2024)

Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography. - Pingzhi Li; Tianlong Chen 001; Junyu Liu (TPS-ISA, 2024)

Towards efficient and secure quantum-classical communication networks. - Pei Zeng; Debayan Bandyopadhyay; José A. Méndez Méndez; Nolan Bitner; Alexander Kolar; Michael T. Solomon; F. Joseph Heremans; David D. Awschalom; Liang Jiang; Junyu Liu (TPS-ISA, 2024)

Exploring the Throughput Capacity Limits of LEO Satellite Constellation Networks: Mathematical Models and Analysis. - Lei Guo; Min Sheng; Junyu Liu; Jiandong Li 001 (WCSP, 2024)

Knowledge-Data Hybrid-Driven Low-Energy Resource Allocation in Cellular Networks. - Chunlong Niu; Chenxi Zhao; Min Sheng; Junyu Liu; Jiandong Li 001 (WCSP, 2024)

Ground-to-air wireless coverage extension for 6G: a triangular prism structure-based approach. - Junyu Liu; Min Sheng; Jiandong Li 001; Xuhui Chen; Chenxi Zhao (Sci. China Inf. Sci., 2024)

Quantum Machine Learning: from NISQ to Fault Tolerance. - Yunfei Wang; Junyu Liu (CoRR, 2024)

Feint in Multi-Player Games. - Junyu Liu; Wangkai Jin; Xiangjun Peng (CoRR, 2024)

Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent. - Pingzhi Li; Junyu Liu; Hanrui Wang 002; Tianlong Chen 001 (CoRR, 2024)

The curse of random quantum data. - Kaining Zhang; Junyu Liu; Liu Liu 014; Liang Jiang; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2024)

Quantum-machine-assisted Drug Discovery: Survey and Perspective. - Yidong Zhou; Jintai Chen; Jinglei Cheng; Gopal Karemore; Marinka Zitnik; Frederic T. Chong; Junyu Liu; Tianfan Fu; Zhiding Liang (CoRR, 2024)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges. - Qian Niu; Junyu Liu; Ziqian Bi; Pohsun Feng; Benji Peng; Keyu Chen 002; Ming Li 075 (CoRR, 2024)

Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks. - Benji Peng; Keyu Chen 002; Ming Li 075; Pohsun Feng; Ziqian Bi; Junyu Liu; Qian Niu (CoRR, 2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models. - Keyu Chen 002; Ziqian Bi; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Liu; Ming Li 075; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Pohsun Feng (CoRR, 2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer. - Benji Peng; Xuanhe Pan; Yizhu Wen; Ziqian Bi; Keyu Chen 002; Ming Li 075; Ming Liu; Qian Niu; Junyu Liu; Jinlang Wang; Sen Zhang; Jiawei Xu; et al. (CoRR, 2024)

Surveying the MLLM Landscape: A Meta-Review of Current Surveys. - Ming Li 075; Keyu Chen 002; Ziqian Bi; Ming Liu; Benji Peng; Qian Niu; Junyu Liu; Jinlang Wang; Sen Zhang; Xuanhe Pan; Jiawei Xu; Pohsun Feng (CoRR, 2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming. - Ming Li 075; Ziqian Bi; Tianyang Wang; Keyu Chen 002; Jiawei Xu; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jinlang Wang; Pohsun Feng; et al. (CoRR, 2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications. - Pohsun Feng; Ziqian Bi; Yizhu Wen; Xuanhe Pan; Benji Peng; Ming Liu; Jiawei Xu; Keyu Chen 002; Junyu Liu; Caitlyn Heqi Yin; Sen Zhang; Jinlang Wang; et al. (CoRR, 2024)

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice. - Qian Niu; Keyu Chen 002; Ming Li 075; Pohsun Feng; Ziqian Bi; Lawrence KQ Yan; Yichao Zhang 002; Caitlyn Heqi Yin; Cheng Fei; Junyu Liu; Benji Peng (CoRR, 2024)

Quantum-data-driven dynamical transition in quantum learning. - Bingzhi Zhang; Junyu Liu; Liang Jiang; Quntao Zhuang (CoRR, 2024)

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns. - Keyu Chen 002; Ziqian Bi; Tianyang Wang; Yizhu Wen; Pohsun Feng; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Li 075; Xuanhe Pan; Jiawei Xu; et al. (CoRR, 2024)

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing. - Ming Li 075; Ziqian Bi; Tianyang Wang; Yizhu Wen; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; et al. (CoRR, 2024)

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - AutoML from Basics to State-of-the-Art Techniques. - Pohsun Feng; Ziqian Bi; Yizhu Wen; Benji Peng; Junyu Liu; Caitlyn Heqi Yin; Tianyang Wang; Keyu Chen 002; Sen Zhang; Ming Li 075; Jiawei Xu; Ming Liu; et al. (CoRR, 2024)

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - Blockchain and Applications. - Pohsun Feng; Ziqian Bi; Lawrence KQ Yan; Yizhu Wen; Benji Peng; Junyu Liu; Caitlyn Heqi Yin; Tianyang Wang; Keyu Chen 002; Sen Zhang; Ming Li 075; Jiawei Xu; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications. - Jintao Ren; Ziqian Bi; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice. - Silin Chen; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application. - Weiche Hsieh; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Large Language Model Benchmarks in Medical Tasks. - Lawrence KQ Yan; Ming Li 075; Yichao Zhang 002; Caitlyn Heqi Yin; Cheng Fei; Benji Peng; Ziqian Bi; Pohsun Feng; Keyu Chen 002; Junyu Liu; Qian Niu (CoRR, 2024)

Practical hybrid PQC-QKD protocols with enhanced security and performance. - Pei Zeng; Debayan Bandyopadhyay; José A. Méndez Méndez; Nolan Bitner; Alexander Kolar; Michael T. Solomon; Ziyu Ye; Filip Rozpedek; Tian Zhong; F. Joseph Heremans; David D. Awschalom; Liang Jiang; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application. - Keyu Chen 002; Cheng Fei; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; et al. (CoRR, 2024)

From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models. - Charles Zhang; Benji Peng; Xintian Sun; Qian Niu; Junyu Liu; Keyu Chen 002; Ming Li 075; Pohsun Feng; Ziqian Bi; Ming Liu; Yichao Zhang 002; Cheng Fei; et al. (CoRR, 2024)

From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing. - Xintian Sun; Benji Peng; Charles Zhang; Fei Jin; Qian Niu; Junyu Liu; Keyu Chen 002; Ming Li 075; Pohsun Feng; Ziqian Bi; Ming Liu; Yichao Zhang 002 (CoRR, 2024)

Quantum Hamiltonian Descent for Graph Partition. - Jinglei Cheng; Ruilin Zhou; Yuhang Gan; Chen Qian 001; Junyu Liu (CoRR, 2024)

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. - Weiche Hsieh; Ziqian Bi; Chuanqi Jiang; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. - Weiche Hsieh; Ziqian Bi; Keyu Chen 002; Benji Peng; Sen Zhang; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; Yizhu Wen; Tianyang Wang; et al. (CoRR, 2024)

Polyhedral Discretizations for Elliptic PDEs. - Junyu Liu; Daniele Panozzo; Mario Botsch; Teseo Schneider (CoRR, 2024)

Deep Learning Model Security: Threats and Defenses. - Tianyang Wang; Ziqian Bi; Yichao Zhang 002; Ming Liu; Weiche Hsieh; Pohsun Feng; Lawrence KQ Yan; Yizhu Wen; Benji Peng; Junyu Liu; Keyu Chen 002; Sen Zhang; et al. (CoRR, 2024)

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development. - Tianyang Wang; Ming Liu; Benji Peng; Xinyuan Song; Charles Zhang; Xintian Sun; Qian Niu; Junyu Liu; Silin Chen; Keyu Chen 002; Ming Li 075; Pohsun Feng; et al. (CoRR, 2024)

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits. - Yuqing Li; Jinglei Cheng; Xulong Tang; Youtao Zhang; Frederic T. Chong; Junyu Liu (CoRR, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Optimization of isolation valve placement to improve reliability and resilience of water distribution systems. - Jun Liu; Yunchang Wan; Qingzhou Zhang; Hongpeng Wang; Dahai Zhao; Daoling Wei; Yunhua Zhu; Junyu Liu (Reliab. Eng. Syst. Saf., 2024)

AquaGS: An integrated GUI pipeline for genomic selection in aquaculture breeding. - Chengwei Liang; Junyu Liu; Wenzhu Peng; Boyu Wang; Fan Yang; Weiwei You; Ying Wang 005 (SoftwareX, 2024)

Enhancing Millimeter Wave Cellular Networks via UAV-Borne Aerial IRS Swarms. - Na Deng; Xiaoming Shi; Min Sheng; Junyu Liu; Haichao Wei; Nan Zhao 001; Dusit Niyato (IEEE Trans. Commun., 2024)

Reinforcement Learning-Based Resource Allocation for Coverage Continuity in High Dynamic UAV Communication Networks. - Jiandong Li 001; Chengyi Zhou; Junyu Liu; Min Sheng; Nan Zhao 001; Yu Su (IEEE Trans. Wirel. Commun., 2024)

Statistical A2G Coverage Characteristics in Dynamic Fixed-Wing UAV Networks. - Ziwen Xie; Junyu Liu; Min Sheng; Yaqian Zhang 003; Tony Q. S. Quek; Jiandong Li 001 (IEEE Wirel. Commun. Lett., 2024)

A Deep Learning Framework for Infrared and Visible Image Fusion Without Strict Registration. - Huafeng Li; Junyu Liu; Yafei Zhang; Yu Liu 023 (Int. J. Comput. Vis., 2024)

Two-Timescale Trajectory Planning and Resource Allocation in Air-Terrestrial Integrated Networks With CoMP. - Chenxi Zhao; Junyu Liu; Min Sheng; Jiandong Li 001; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2024)

Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach. - Chenxi Zhao; Min Sheng; Junyu Liu; Tianshu Chu; Jiandong Li 001 (IEEE Internet Things J., 2024)

Enabling Integrated Access and Backhaul in Dynamic Aerial-Terrestrial Networks for Coverage Enhancement. - Min Sheng; Yaqian Zhang 003; Junyu Liu; Ziwen Xie; Tony Q. S. Quek; Jiandong Li 001 (IEEE Trans. Wirel. Commun., 2024)

Quantum Data Center: Perspectives. - Junyu Liu; Liang Jiang (IEEE Netw., 2024)

A Mixed-Bouncing Based 6G Multi-UAV Integrated Channel Model With Consistency and Non-Stationarity. - Lu Bai 004; Ziwei Huang; Junyu Liu; Lizhen Cui; Min Sheng; Xiang Cheng 001 (IEEE Trans. Wirel. Commun., 2024)

Quantum power flows: from theory to practice. - Junyu Liu; Han Zheng; Masanori Hanada; Kanav Setia; Dan Wu (Quantum Mach. Intell., 2024)

Delay-Aware UAV Computation Offloading and Communication Assistance for Post-Disaster Rescue. - Chengyi Zhou; Junyu Liu; Kaige Qu; Min Sheng; Jiandong Li 001; Weihua Zhuang (IEEE Trans. Wirel. Commun., 2024)

SAGIN-4C-6G: A Space-Air-Ground Integrated Network for Enhanced Communication, Computation, Caching and Control in 6G. - Junyu Liu; Min Sheng; Di Zhou; Zhu Han 001; Mohamed-Slim Alouini; Wei Wang 015 (WCNC, 2025)

Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT. - Shengde Chen; Junyu Liu; Xiaojie Xu; Guo Jianzhou; Hu Shiyun; Zhiyan Zhou; Yubin Lan (Comput. Electron. Agric., 2025)

DDQN-GA: a hybrid algorithm for intelligent inspection path optimisation and process modelling in power systems. - Qianqiao Zhao; Xuanyu Song; Junyu Liu; Changyu Li; Yan Guan; Wenjie Fan (Int. J. Inf. Commun. Technol., 2025)

Generative-Adversarial-Network-Enhanced DRL for ISAC With Double Active RISs. - Jifa Zhang; Min Sheng; Chengwen Xing; Junyu Liu; Nan Zhao 001; George K. Karagiannidis (IEEE Internet Things J., 2025)

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching. - Haoran Wang 005; Pingzhi Li; Min Chen; Jinglei Cheng; Junyu Liu; Tianlong Chen 001 (CoRR, 2025)

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence. - Tianyang Wang; Yunze Wang; Jun Zhou; Benji Peng; Xinyuan Song; Charles Zhang; Xintian Sun; Qian Niu; Junyu Liu; Silin Chen; Keyu Chen 002; Ming Li 075; et al. (CoRR, 2025)

Resource Allocation for Adaptive Beam Alignment in UAV-Assisted Integrated Sensing and Communication Networks. - Junyu Liu; Chengyi Zhou; Min Sheng; Haojun Yang; Xinyu Huang; Jiandong Li 001 (IEEE J. Sel. Areas Commun., 2025)

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings. - Tianyang Wang; Silin Chen; Yunze Wang; Yichao Zhang 002; Xinyuan Song; Ziqian Bi; Ming Liu; Qian Niu; Junyu Liu; Pohsun Feng; Xintian Sun; Benji Peng; et al. (CoRR, 2025)

Generative Adversarial Networks Bridging Art and Machine Intelligence. - Junhao Song; Yichao Zhang 002; Ziqian Bi; Tianyang Wang; Keyu Chen 002; Ming Li 075; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Liu; Jiawei Xu; et al. (CoRR, 2025)

Towards identifying possible fault-tolerant advantage of quantum linear system algorithms in terms of space, time and energy. - Yue Tu; Mark Dubynskyi; Mohammadhossein Mohammadisiahroudi; Ekaterina Riashchentceva; Jinglei Cheng; Dmitry Ryashchentsev; Tamás Terlaky; Junyu Liu (CoRR, 2025)

Towards efficient quantum algorithms for diffusion probability models. - Yunfei Wang; Ruoxi Jiang; Yingda Fan; Xiaowei Jia; Jens Eisert; Junyu Liu; Jin-Peng Liu (CoRR, 2025)

Advanced Deep Learning Methods for Protein Structure Prediction and Design. - Yichao Zhang 002; Ningyuan Deng; Xinyuan Song; Ziqian Bi; Tianyang Wang; Zheyu Yao; Keyu Chen 002; Ming Li 075; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; et al. (CoRR, 2025)

Quantum Dynamics Simulation of the Advection-Diffusion Equation. - Hirad Alipanah; Feng Zhang; Yongxin Yao; Richard Thompson; Nam Nguyen; Junyu Liu; Peyman Givi; Brian J. McDermott; Juan José Mendoza-Arenas (CoRR, 2025)

Quantum repeaters enhanced by vacuum beam guides. - Yu Gan; Mohadeseh Azari; Nitish Kumar Chandra; Xin Jin; Jinglei Cheng; Kaushik P. Seshadreesan; Junyu Liu (CoRR, 2025)

GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization. - Min Chen; Jinglei Cheng; Pingzhi Li; Haoran Wang 005; Tianlong Chen 001; Junyu Liu (CoRR, 2025)

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples. - Junyu Liu; R. Kenny Jones; Daniel Ritchie (CoRR, 2025)

Face recognition on point cloud with cgan-top for denoising. - Junyu Liu; Jianfeng Ren; Sunhong Liang; Xudong Jiang 001 (CoRR, 2025)

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations. - Junyu Liu; Kaiqi Yan; Tianyang Wang; Qian Niu; Momoko Nagai-Tanima; Tomoki Aoyama (CoRR, 2025)

Low-Power Beamforming Design for Near-Field Integrated Sensing and Communication Networks. - Ziwei Cai; Min Sheng; Jia Liu 009; Junyu Liu; Jiandong Li 001 (IEEE Internet Things J., 2025)

Constellation Topology Design for Maximum Capacity of LEO Satellite Networks. - Lei Guo; Junyu Liu; Min Sheng; Jiandong Li 001 (IEEE Trans. Commun., 2025)

Robust Throughput Capacity of Multi-Connectivity Wireless Networks. - Min Sheng; Wei Li 012; Junyu Liu; Jiandong Li 001 (IEEE Trans. Commun., 2025)

Toward Disaster-Resistant Cellular Communication Networks Based on Network Capacity Scalability. - Min Sheng; Xuhui Chen; Junyu Liu; Jiandong Li 001; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2025)

A Unified QoS-Aware Multiplexing Framework for Next-Generation Immersive Communication With Legacy Wireless Applications. - Jihong Li; Shunqing Zhang; Tao Yu 008; Guangjin Pan; Kaixuan Huang; Xiaojing Chen 001; Yanzan Sun; Junyu Liu; Jiandong Li 001; Derrick Wing Kwan Ng (IEEE Internet Things J., 2025)

Enhancing Network Capacity With Transmission Range Optimization in UAV Ad Hoc Networks. - Xuhui Chen; Min Sheng; Nan Zhao 001; Junyu Liu; Jiandong Li 001 (IEEE Trans. Commun., 2025)

A Model-Data Dual-Driven Resource Allocation Scheme for IREE Oriented 6G Networks. - Tao Yu 008; Simin Wang; Shunqing Zhang; Xiaojing Chen 001; Zi Xu; Xin Wang 003; Jiandong Li 001; Junyu Liu; Sihai Zhang (IEEE Internet Things J., 2025)

A Survey of Graph-Based Resource Management in Wireless Networks - Part I: Optimization Approaches. - Yanpeng Dai; Ling Lyu; Nan Chen 006; Min Sheng; Junyu Liu; Xiucheng Wang; Shuguang Cui; Lin Cai 001; Xuemin Shen (IEEE Trans. Cogn. Commun. Netw., 2025)

A Survey of Graph-Based Resource Management in Wireless Networks - Part II: Learning Approaches. - Yanpeng Dai; Ling Lyu; Nan Cheng; Min Sheng; Junyu Liu; Xiucheng Wang; Shuguang Cui; Lin Cai 001; Xuemin Shen (IEEE Trans. Cogn. Commun. Netw., 2025)

Introducing anisotropic fields for enhanced diversity in crowd simulation. - Yihao Li; Junyu Liu; Xiaoyu Guan; Hanming Hou; Tianyu Huang (Vis. Comput., 2025)