Energy-Constrained Cooperative Spectrum Sensing in Cognitive Radio Networks. - Xinxin Feng; Xiaoying Gan; Xinbing Wang (GLOBECOM, 2011)

Efficient spectrum utilization with selfish secondary users in cognitive radio networks. - Gaofei Sun; Youyun Xu; Xinxin Feng; Xinbing Wang; Yu Cheng 003 (GLOBECOM, 2012)

Energy-efficient Cooperative Sensing Schedule for heterogenous users in Cognitive Radio Networks. - Xin Huang; Xinxin Feng; Hang Qiu 001; Xinbing Wang; Zhiyong Feng 001 (ICCC, 2012)

Joint spectrum sensing and transmission strategy for energy-efficient cognitive radio networks. - He Li; Xinxin Feng; Xiaoying Gan; Zhongren Cao (CrownCom, 2013)

The Research on Knowledge Diffusion Based on Small World Network. - Xinxin Feng; Baojiang Chen; Huanzhi Zhu (HCI (21), 2013)

Multi-armed bandit based opportunistic channel access: A consideration of switch cost. - Jing Huang; Xiaoying Gan; Xinxin Feng (ICC, 2013)

Femtocell as a relay: A bargaining solution for femto users partition in geometrical perspective. - Rui Wang; Xinxin Feng; Xiaoying Gan; Jing Liu 023; Haitao Liu (WCSP, 2013)

Energy-sensitive cooperative spectrum sharing: A contract design approach. - Zilong Zhou; Xinxin Feng; Xiaoying Gan (WCSP, 2013)

Data offloading in two-tier networks: A contract design approach. - Zilong Zhou; Xinxin Feng; Xiaoying Gan; Feng Yang 006; Xiaohua Tian; Xinbing Wang (GLOBECOM, 2014)

Small cell switch policy: A consideration of start-up energy cost. - Luyang Wang; Xinxin Feng; Xiaoying Gan; Jing Liu 023; Hui Yu 002; Dongying Zhang (ICCC, 2014)

Small cell switch policy: A reinforcement learning approach. - Luyang Wang; Xinxin Feng; Xiaoying Gan; Jing Liu 023; Hui Yu 002 (WCSP, 2014)

A user-centric load balance scheme for small cell networks. - Luyang Wang; Xinxin Feng; Xu Wang; Xiaoying Gan (WCSP, 2014)

Applications of momentary Fourier transform in frequency shift keying signal demodulation. - Zhonghui Chen; Yiwen Xu; Weixing Wang; Xinxin Feng (Int. J. Commun. Syst., 2014)

Cooperative Spectrum Sharing in Cognitive Radio Networks: A Distributed Matching Approach. - Xinxin Feng; Gaofei Sun; Xiaoying Gan; Feng Yang 006; Xiaohua Tian; Xinbing Wang; Mohsen Guizani (IEEE Trans. Commun., 2014)

Coalitional Double Auction for Spatial Spectrum Allocation in Cognitive Radio Networks. - Gaofei Sun; Xinxin Feng; Xiaohua Tian; Xiaoying Gan; Youyun Xu; Xinbing Wang; Mohsen Guizani (IEEE Trans. Wirel. Commun., 2014)

The Effectiveness of Virtual Reality for Studying Human Behavior in Fire. - Xinxin Feng; Rongzhen Cui; Jiabao Zhao (HCI (11), 2015)

Markov approximation for Multi-RAT selection. - Siwei Chen; Xiaoying Gan; Xinxin Feng; Xiaohua Tian; Weijie Wu; Jing Liu 023 (ICC, 2015)

TIE-MAC: tolerable interference estimation-based concurrent medium access control for WLAN mesh networks. - Lei Lei 003; Shengsuo Cai; Liang Zhou 002; Xiaoming Chen 001; Xinxin Feng (Int. J. Ad Hoc Ubiquitous Comput., 2015)

A game approach for cooperative spectrum sharing in cognitive radio networks. - Xinxin Feng; Haobing Wang; Xinbing Wang (Wirel. Commun. Mob. Comput., 2015)

Energy-Efficient Design of Sensing and Transmission in Cognitive Radio Networks. - Xinxin Feng; Xiaoying Gan (Wirel. Pers. Commun., 2015)

An Improved Ant Colony Optimization and Its Application on TSP Problem. - Wei Luo; Dong Lin; Xinxin Feng (iThings/GreenCom/CPSCom/SmartData, 2016)

A New Outlier Detection Algorithm Based on Kernel Density Estimation for ITS. - Yiwen Xu; Ningbin Xu; Xinxin Feng (iThings/GreenCom/CPSCom/SmartData, 2016)

Efficient and Timely Querying of Massive Trajectory Data in Internet of Vehicles. - Yiwen Xu; Qihao Zou; Xinxin Feng (iThings/GreenCom/CPSCom/SmartData, 2016)

A design of distributed storage and processing system for Internet of Vehicles. - Zhonghui Chen; Siying Chen; Xinxin Feng (WCSP, 2016)

Image-based clustering analysis of massive vehicle networking data. - Zhonghui Chen; Zhipeng Xie; Xinxin Feng (WCSP, 2016)

Incentive mechanism for participatory sensing: A contract-based approach. - Zhonghui Chen; Yeting Lin; Xinxin Feng; Haifeng Zheng; Yiwen Xu (CEC, 2017)

Short-term traffic flow prediction with optimized Multi-kernel Support Vector Machine. - Xianyao Ling; Xinxin Feng; Zhonghui Chen; Yiwen Xu; Haifeng Zheng (CEC, 2017)

A compressive and adaptive sampling approach in crowdsensing networks. - Jingjing Chen; Zhonghui Chen; Haifeng Zheng; Xinxin Feng (WCSP, 2017)

Traffic estimation in road networks via compressive sensing. - Jiayin Li; Haifeng Zheng; Xinxin Feng; Zhonghui Chen (WCSP, 2017)

Short-term traffic flow prediction with Conv-LSTM. - Yipeng Liu; Haifeng Zheng; Xinxin Feng; Zhonghui Chen (WCSP, 2017)

Design and Analysis of In-Network Computation Protocols With Compressive Sensing in Wireless Sensor Networks. - Haifeng Zheng; Wenzhong Guo; Xinxin Feng; Zhonghui Chen (IEEE Access, 2017)

Distributed cell selection in heterogeneous wireless networks. - Xinxin Feng; Xiaoying Gan; Haifeng Zheng; Zhonghui Chen (Comput. Commun., 2017)

Spatial-Temporal Data Collection with Compressive Sensing in Mobile Sensor Networks. - Haifeng Zheng; Jiayin Li; Xinxin Feng; Wenzhong Guo; Zhonghui Chen; Naixue Xiong (Sensors, 2017)

An Adaptive Leverage Sampling Scheme for Fingerprint-based Indoor Localization. - Wentao Kang; Haifeng Zheng; Xinxin Feng (WCSP, 2018)

3D Convolutional Generative Adversarial Networks for Missing Traffic Data Completion. - Zhimin Li; Haifeng Zheng; Xinxin Feng (WCSP, 2018)

A Novel Spatial-Temporal Regularized Tensor Completion Algorithm for Traffic Data Imputation. - Kaitong Lin; Haifeng Zheng; Xinxin Feng; Zhonghui Chen (WCSP, 2018)

Niching Pareto Ant Colony Optimization Algorithm for Bi-Objective Pathfinding Problem. - Dong Lin; Lingchao He; Xinxin Feng; Wei Luo (IEEE Access, 2018)

An attention-based ambient network with 3D convolutional network for incomplete traffic flow prediction. - Feng Lin; Haifeng Zheng; Xinxin Feng (ACM TUR-C, 2019)

A Multi-source Based Coupled Tensors Completion Algorithm for Incomplete Traffic Data Imputation. - Weiming Zhou; Haifeng Zheng; Xinxin Feng; Dong Lin (WCSP, 2019)

Probabilistic-Interval Energy Flow Analysis of Regional Integrated Electricity and Gas System Considering Multiple Uncertainties and Correlations. - Xiaoyun Hu; Xia Zhao; Xinxin Feng (IEEE Access, 2019)

An Adaptive Sampling Scheme via Approximate Volume Sampling for Fingerprint-Based Indoor Localization. - Haifeng Zheng; Min Gao; Zhizhang Chen; Xiao-Yang Liu; Xinxin Feng (IEEE Internet Things J., 2019)

Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction. - Xinxin Feng; Xianyao Ling; Haifeng Zheng; Zhonghui Chen; Yiwen Xu (IEEE Trans. Intell. Transp. Syst., 2019)

Network Latency Estimation with Graph-Laplacian Regularization Tensor Completion. - Yaying Hu; Lei Deng; Haifeng Zheng; Xinxin Feng; Youjia Chen (GLOBECOM, 2020)

Linear FMCW Radar System for Accurate Indoor Localization and Trajectory Detection. - Rongpeng Xiong; Xinxin Feng; Haifeng Zheng; Zhizhang (David) Chen (ICNC, 2020)

A Meta-Learning-Based Approach for Hand Gesture Recognition Using FMCW Radar. - Zhongyu Fan; Haifeng Zheng; Xinxin Feng (WCSP, 2020)

Traffic Flow Forecasting with Spatial-Temporal Graph Convolutional Networks in Edge-Computing Systems. - Xianlu Xu; Haifeng Zheng; Xinxin Feng; Youjia Chen (WCSP, 2020)

Network Latency Estimation With Leverage Sampling for Personal Devices: An Adaptive Tensor Completion Approach. - Lei Deng; Haifeng Zheng; Xiao-Yang Liu; Xinxin Feng; Zhizhang (David) Chen (IEEE/ACM Trans. Netw., 2020)

Traffic Flow Prediction Based on Stream Tensor Analysis. - Haitao Zhang; Xinxin Feng; Lingchao He; Haifeng Zheng (ICIT, 2021)

Unsupervised Federated Adversarial Domain Adaptation for Heterogeneous Internet of Things. - Jinfeng Ma; Mengxuan Du; Haifeng Zheng; Xinxin Feng (MSN, 2021)

Robust Low-Tubal-Rank Tensor Completion for Network Latency Estimation and Anomaly Detection. - Lingzhen Wang; Lei Deng; Xinxin Feng; Haifeng Zheng (WCSP, 2021)

Multi-scale fractal residual network for image super-resolution. - Xinxin Feng; Xianguo Li; Jianxiong Li (Appl. Intell., 2021)

A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing. - Haifeng Zheng; Min Gao; Zhizhang Chen; Xinxin Feng (IEEE Trans. Ind. Informatics, 2021)

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction. - Haifeng Zheng; Feng Lin; Xinxin Feng; Youjia Chen (IEEE Trans. Intell. Transp. Syst., 2021)

Robust Spatial-Temporal Graph-Tensor Recovery for Network Latency Estimation. - Huiyu Lin; Lei Deng; Lingzhen Wang; Haifeng Zheng; Xinxin Feng (GLOBECOM, 2022)

Incremental Unsupervised Adversarial Domain Adaptation for Federated Learning in IoT Networks. - Yan Huang; Mengxuan Du; Haifeng Zheng; Xinxin Feng (MSN, 2022)

Overcoming Forgetting in Local Adaptation of Federated Learning Model. - Shunjian Liu; Xinxin Feng; Haifeng Zheng (PAKDD (1), 2022)

A Molecular-Based Q-Tensor Hydrodynamic Theory of Smectic Liquid Crystals. - Xinxin Feng; Sirui Li (Axioms, 2022)

Controlling Achiral and Chiral Properties with an Electric Field: A Next-Generation QTAIM Interpretation. - Wenjing Yu; Zi Li; Yuting Peng; Xinxin Feng; Tianlv Xu; Herbert Früchtl; Tanja Van Mourik; Steven R. Kirk; Samantha Jenkins (Symmetry, 2022)

Graph Spectral Regularized Tensor Completion for Traffic Data Imputation. - Lei Deng; Xiao-Yang Liu; Haifeng Zheng; Xinxin Feng; Youjia Chen (IEEE Trans. Intell. Transp. Syst., 2022)

Traffic Data Recovery From Corrupted and Incomplete Observations via Spatial-Temporal TRPCA. - Xinxin Feng; Haitao Zhang; Can Wang; Haifeng Zheng (IEEE Trans. Intell. Transp. Syst., 2022)

Target Parameter Estimation with Deep Unfolding Networks for MIMO-OFDM Based Integrated Sensing and Communication Systems. - Jingcai Lin; Haifeng Zheng; Xinxin Feng (WCSP, 2023)

Decentralized Federated Learning With Markov Chain Based Consensus for Industrial IoT Networks. - Mengxuan Du; Haifeng Zheng; Xinxin Feng; Youjia Chen; Tiesong Zhao (IEEE Trans. Ind. Informatics, 2023)

Graph-Tensor Neural Networks for Network Traffic Data Imputation. - Lei Deng; Xiao-Yang Liu; Haifeng Zheng; Xinxin Feng; Zhizhang Chen (IEEE/ACM Trans. Netw., 2023)

Intelligent Heavy Truck Platooning with ISCC for Enclosed Intermodal Railway-Road Transport Parks. - Weibin Li; Haifeng Zheng; Jun Fang; Xinxin Feng; Chunyan Cheng (ICASSP Workshops, 2024)

Cooperative Perception with Deep Reinforcement Learning in Vehicular Networks. - Chen Chen; Fan Xu; Jiayuan Lin; Xinxin Feng; Haifeng Zheng (MSN, 2024)

Deep Unfolding Network for Target Parameter Estimation in OTFS-based ISAC Systems. - Weizhi Lin; Haifeng Zheng; Xinxin Feng; Youjia Chen (WCNC, 2024)

Off-Grid Parameter Estimation for OFDM-Based ISAC Systems with Incomplete Data. - Muyao Ling; Xinxin Feng; Haifeng Zheng (WCNC, 2024)

MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs. - Zhixiang Cheng; Hongxin Xiang; Pengsen Ma; Li Zeng; Xin Jin; Xixi Yang; Jianxin Lin; Yang Deng; Bosheng Song; Xinxin Feng; Changhui Deng; Xiangxiang Zeng (CoRR, 2024)

Adaptive Decentralized Federated Learning in Resource-Constrained IoT Networks. - Mengxuan Du; Haifeng Zheng; Min Gao; Xinxin Feng (IEEE Internet Things J., 2024)

RTONet: Real-Time Occupancy Network for Semantic Scene Completion. - Quan Lai; Haifeng Zheng; Xinxin Feng; Mingkui Zheng; Huacong Chen; Wenqiang Chen (IEEE Robotics Autom. Lett., 2024)

Integrated Sensing, Communication, and Computation for Over-the-Air Federated Learning in 6G Wireless Networks. - Mengxuan Du; Haifeng Zheng; Min Gao; Xinxin Feng; Jinsong Hu; Youjia Chen (IEEE Internet Things J., 2024)

Multimodal Fusion With Block Term Decomposition for Asynchronous Federated Learning. - Min Gao; Haifeng Zheng; Mengxuan Du; Xinxin Feng (IEEE Trans. Ind. Informatics, 2024)

Federated Meta-Learning on Graph for Traffic Flow Prediction. - Xinxin Feng; Haoran Sun; Shunjian Liu; Junxin Guo; Haifeng Zheng (IEEE Trans. Veh. Technol., 2024)

Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning. - Min Gao; Haifeng Zheng; Xinxin Feng; Ran Tao (AAAI, 2025)

Graph-Tensor FISTA-Net: Edge Computing-Aided Deep Learning for Distributed Traffic Data Recovery. - Lei Deng; Xiao-Yang Liu; Haifeng Zheng; Xinxin Feng; Ming Zhu 002; Danny H. K. Tsang (IEEE Trans. Netw. Sci. Eng., 2025)

LCV2I: Communication-Efficient and High-Performance Collaborative Perception Framework with Low-Resolution LiDAR. - Xinxin Feng; Haoran Sun; Haifeng Zheng; Huacong Chen; Wenqiang Chen (CoRR, 2025)

Joint Deep Reinforcement Learning and Unfolding for Sensing and Communication Function Selection in Vehicular Networks. - Xiangyu Shen; Haifeng Zheng; Jiayuan Lin; Xinxin Feng (IEEE Trans. Veh. Technol., 2025)