The Development Strategies of Logistics in Chongqing City Based on the Complex Traffic Network. - Shanmei Song; Shuaijun Chen; Wenfeng Li 001; Qiaoxing Li (IDCS, 2016)

Improving Remote Sensing Scene Classification by Integrating Global-Context and Local-Object Features. - Dan Zeng 001; Shuaijun Chen; Boyang Chen; Shuying Li (Remote. Sens., 2018)

Related Attention Network for Person Re-Identification. - Jiali Liang; Dan Zeng 001; Shuaijun Chen; Qi Tian 001 (BigMM, 2019)

Unsupervised Image Super-Resolution with an Indirect Supervised Path. - Zhen Han; Enyan Dai; Xu Jia 012; Xiaoying Ren; Shuaijun Chen; Chunjing Xu; Jianzhuang Liu; Qi Tian 001 (CoRR, 2019)

Unsupervised Image Super-Resolution with an Indirect Supervised Path. - Shuaijun Chen; Zhen Han; Enyan Dai; Xu Jia 012; Ziluan Liu; Xing Liu; Xueyi Zou; Chunjing Xu; Jianzhuang Liu; Qi Tian 001 (CVPR Workshops, 2020)

Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation. - Shuaijun Chen; Xu Jia 012; Jianzhong He; Yongjie Shi; Jianzhuang Liu (CVPR, 2021)

Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation. - Jianzhong He; Xu Jia 012; Shuaijun Chen; Jianzhuang Liu (CVPR, 2021)

Multi-Target Domain Adaptation With Collaborative Consistency Learning. - Takashi Isobe; Xu Jia 012; Shuaijun Chen; Jianzhong He; Yongjie Shi; Jianzhuang Liu; Huchuan Lu; Shengjin Wang (CVPR, 2021)

T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. - Ruihuang Li; Xu Jia 012; Jianzhong He; Shuaijun Chen; Qinghua Hu (ICCV, 2021)

Identifying and characterizing drug sensitivity-related lncRNA-TF-gene regulatory triplets. - Congxue Hu; Yingqi Xu; Feng Li; Wanqi Mi; He Yu; Xinran Wang; Xin Wen; Shuaijun Chen; Xia Li 004; Yanjun Xu; Yunpeng Zhang (Briefings Bioinform., 2022)

Boosting Client Selection of Federated Learning under Device and Data Heterogeneity. - Shuaijun Chen; Omid Tavallaie; Michael Henri Hambali; Seid Miad Zandavi; Hamed Haddadi; Song Guo 001; Albert Y. Zomaya (CoRR, 2023)

Towards uniform point distribution in feature-preserving point cloud filtering. - Shuaijun Chen; Jinxi Wang; Wei Pan 010; Shang Gao 003; Meili Wang; Xuequan Lu (Comput. Vis. Media, 2023)

Reinforcement learning based task scheduling for environmentally sustainable federated cloud computing. - Zhibao Wang; Shuaijun Chen; Lu Bai 006; Juntao Gao; Jinhua Tao; Raymond R. Bond; Maurice D. Mulvenna (J. Cloud Comput., 2023)

Boosting Communication Efficiency of Federated Learning's Secure Aggregation. - Niousha Nazemi; Omid Tavallaie; Shuaijun Chen; Albert Y. Zomaya; Ralph Holz (DSN-S, 2024)

Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models. - Wentao Gao; Omid Tavallaie; Shuaijun Chen; Albert Y. Zomaya (ICSOC (1), 2024)

RBLA: Rank-Based-LoRA-Aggregation for Fine-Tuning Heterogeneous Models in FLaaS. - Shuaijun Chen; Omid Tavallaie; Niousha Nazemi; Albert Y. Zomaya (ICWS, 2024)

ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks. - Niousha Nazemi; Omid Tavallaie; Shuaijun Chen; Anna Maria Mandalari; Kanchana Thilakarathna; Ralph Holz; Hamed Haddadi; Albert Y. Zomaya (CoRR, 2024)

AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning. - Shuaijun Chen; Omid Tavallaie; Niousha Nazemi; Xin Chen; Albert Y. Zomaya (CoRR, 2024)

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data. - Seunghyun Lee; Omid Tavallaie; Shuaijun Chen; Kanchana Thilakarathna; Suranga Seneviratne; Adel Nadjaran Toosi; Albert Y. Zomaya (CoRR, 2025)

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning. - Xin Chen; Shuaijun Chen; Omid Tavallaie; Nguyen Tran; Shuhuang Xiang; Albert Y. Zomaya (CoRR, 2025)