Modelling Concurrency with Tabular Expressions. - Yuwen Yang; Ryszard Janicki (Software Engineering Research and Practice, 2004)

Mode Modulation for Orbital-Angular-Momentum Based Wireless Vorticose Communications. - Yuwen Yang; Wenchi Cheng; Wei Zhang 001; Hailin Zhang 001 (GLOBECOM, 2017)

The economics of distributed power: A Marcellus Shale case study. - Yuwen Yang; William E. Hefley; Jayant Rajgopal (Comput. Ind. Eng., 2017)

Mode Modulation for Wireless Communications With a Twist. - Yuwen Yang; Wenchi Cheng; Wei Zhang 001; Hailin Zhang 001 (IEEE Trans. Veh. Technol., 2018)

Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels. - Yuwen Yang; Feifei Gao; Xiaoli Ma; Shun Zhang 003 (IEEE Access, 2019)

Optimizing vaccine distribution networks in low and middle-income countries. - Yuwen Yang; Hoda Bidkhori; Jayant Rajgopal (CoRR, 2019)

Deep Learning-Based Downlink Channel Prediction for FDD Massive MIMO System. - Yuwen Yang; Feifei Gao; Geoffrey Ye Li; Mengnan Jian (IEEE Commun. Lett., 2019)

Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach. - Ruijin Ding; Yuwen Yang; Jun Liu 063; Hongyan Li 001; Feifei Gao (ICNC, 2020)

Learning Combined Set Covering and Traveling Salesman Problem. - Yuwen Yang; Jayant Rajgopal (CoRR, 2020)

Model-Aided Deep Neural Network for Source Number Detection. - Yuwen Yang; Feifei Gao; Cheng Qian 001; Guisheng Liao (IEEE Signal Process. Lett., 2020)

Deep Transfer Learning-Based Downlink Channel Prediction for FDD Massive MIMO Systems. - Yuwen Yang; Feifei Gao; Zhimeng Zhong; Bo Ai 001; Ahmed Alkhateeb (IEEE Trans. Commun., 2020)

Sensory Data Assisted Downlink Channel Prediction for Massive MIMO. - Yuwen Yang; Feifei Gao; Chengwen Xing; Jianping An; Ahmed Alkhateeb (ICC, 2021)

Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction. - Yuwen Yang; Feifei Gao; Chengwen Xing; Jianping An; Ahmed Alkhateeb (IEEE J. Sel. Areas Commun., 2021)

Outreach Strategies for Vaccine Distribution: A Multi-period Stochastic Modeling Approach. - Yuwen Yang; Jayant Rajgopal (Oper. Res. Forum, 2021)

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

Completely Heterogeneous Federated Learning. - Chang Liu 078; Yuwen Yang; Xun Cai; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

Dynamic Neural Network for MIMO Detection. - Yuwen Yang; Feifei Gao; Mingjin Wang; Jiang Xue 001; Zongben Xu (IEEE J. Sel. Areas Commun., 2022)

Deep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming. - Zhiyan Liu; Yuwen Yang; Feifei Gao; Ting Zhou; Hongbing Ma (IEEE Trans. Commun., 2022)

Position-Aware Subgraph Neural Networks with Data-Efficient Learning. - Chang Liu 078; Yuwen Yang; Zhe Xie; Hongtao Lu 001; Yue Ding 001 (WSDM, 2023)

Towards Hetero-Client Federated Multi-Task Learning. - Yuxiang Lu; Suizhi Huang; Yuwen Yang; Shalayiding Sirejiding; Yue Ding 001; Hongtao Lu 001 (CoRR, 2023)

Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage Prediction. - Yuwen Yang; Feifei Gao; Xiaoming Tao 001; Guangyi Liu 001; Chengkang Pan (IEEE J. Sel. Areas Commun., 2023)

MIMO Detector Selection With Federated Learning. - Yuwen Yang; Feifei Gao; Jiang Xue 001; Ting Zhou; Zongben Xu (IEEE Trans. Wirel. Commun., 2023)

Fedhca2: Towards Hetero-Client Federated Multi-Task Learning. - Yuxiang Lu; Suizhi Huang; Yuwen Yang; Shalayiding Sirejiding; Yue Ding 001; Hongtao Lu 001 (CVPR, 2024)

Mediate: Mixture Domain Model-Agnostic Federated Learning. - Chang Liu 078; Yuwen Yang; Xun Cai; Yue Ding 001; Hongtao Lu 001 (DASFAA (1), 2024)

UNIDEAL: Curriculum Knowledge Distillation Federated Learning. - Yuwen Yang; Chang Liu 078; Xun Cai; Suizhi Huang; Hongtao Lu 001; Yue Ding 001 (ICASSP, 2024)

BARTENDER: A simple baseline model for task-level heterogeneous federated learning. - Yuwen Yang; Yuxiang Lu; Suizhi Huang; Shalayiding Sirejiding; Chang Liu 078; Muyang Yi; Zhaozhi Xie; Yue Ding 001; Hongtao Lu 001 (ICME, 2024)

Decoupling Classification and Localization of CLIP. - Muyang Yi; Zhaozhi Xie; Yuwen Yang; Chang Liu 078; Yue Ding 001; Hongtao Lu 001 (ICME Workshops, 2024)

DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001; Wenqing Lin; Ziming Wu; Wendong Bi (KDD, 2024)

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study. - Yuwen Yang; Yuxiang Lu; Suizhi Huang; Shalayiding Sirejiding; Hongtao Lu 001; Yue Ding 001 (ICMR, 2024)

Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation. - Shalayiding Sirejiding; Bayram Bayramli; Yuxiang Lu; Yuwen Yang; Tamam Alsarhan; Hongtao Lu 001; Yue Ding 001 (ACM Multimedia, 2024)

Deep reinforcement learning based trajectory optimization for UAV-enabled IoT with SWIPT. - Yuwen Yang; Xin Liu 009 (Ad Hoc Networks, 2024)

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. - Hang Dong 004; Liwen Zhu 003; Zhao Shan; Bo Qiao 001; Fangkai Yang; Si Qin; Chuan Luo 002; Qingwei Lin; Yuwen Yang; Gurpreet Virdi; Saravan Rajmohan; Dongmei Zhang 001; et al. (CoRR, 2024)

Superpixel Guided Network for Weakly Supervised Semantic Segmentation. - Zhaozhi Xie; Weihao Jiang; Yuwen Yang; Hongtao Lu 001 (IEEE Signal Process. Lett., 2024)