Research on investor sentiment and stock market prediction based on Weibo text. - Yongheng Deng; Qing Xie; Yong Wang 009 (SPAC, 2018)

Toward Fast and Distributed Computation Migration System for Edge Computing in IoT. - Chao Wu 002; Yaoxue Zhang; Yongheng Deng (IEEE Internet Things J., 2019)

A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data. - Jiangzhou Deng; Yong Wang 009; Junpeng Guo; Yongheng Deng; Jerry Gao 002; Younghee Park (J. Inf. Sci., 2019)

SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning. - Yongheng Deng; Feng Lyu 001; Ju Ren 001; Yongmin Zhang; Yuezhi Zhou; Yaoxue Zhang; Yuanyuan Yang 001 (ICDCS, 2021)

FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation. - Yongheng Deng; Feng Lyu 001; Ju Ren 001; Yi-Chao Chen 001; Peng Yang 004; Yuezhi Zhou; Yaoxue Zhang (INFOCOM, 2021)

Mortgage Brokers and the Effectiveness of Regulatory Oversights. - Sumit Agarwal; Swee Hoon Ang; Yongheng Deng; Yonglin Wang (Manag. Sci., 2021)

HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization. - Tengxi Xia; Yongheng Deng; Sheng Yue; Junyi He; Ju Ren 001; Yaoxue Zhang (CNSM, 2022)

TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity. - Yongheng Deng; Weining Chen; Ju Ren 001; Feng Lyu 001; Yang Liu 165; Yunxin Liu 001; Yaoxue Zhang (SenSys, 2022)

Making resource adaptive to federated learning with COTS mobile devices. - Yongheng Deng; Shuang Gu; Chengbo Jiao; Xing Bao; Feng Lyu 001 (Peer-to-Peer Netw. Appl., 2022)

Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation. - Yongheng Deng; Feng Lyu 001; Ju Ren 001; Yi-Chao Chen 001; Peng Yang 004; Yuezhi Zhou; Yaoxue Zhang (IEEE Trans. Parallel Distributed Syst., 2022)

AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning. - Yongheng Deng; Feng Lyu 001; Ju Ren 001; Huaqing Wu; Yuezhi Zhou; Yaoxue Zhang; Xuemin Shen (IEEE Trans. Parallel Distributed Syst., 2022)

LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning. - Tong Liu; Feng Lyu 001; Jun Ma; Yongheng Deng; Jiayin Chen; Qilong Tan; Yaoxue Zhang (GLOBECOM, 2023)

A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning. - Feng Lyu 001; Cheng Tang; Yongheng Deng; Tong Liu; Yongmin Zhang; Yaoxue Zhang (ICDCS, 2023)

A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. - Yongheng Deng; Ju Ren 001; Cheng Tang; Feng Lyu 001; Yang Liu 165; Yaoxue Zhang (INFOCOM, 2023)

FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data. - Yongheng Deng; Sheng Yue; Tuowei Wang; Guanbo Wang; Ju Ren 001; Yaoxue Zhang (SenSys, 2023)

Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer. - Yongheng Deng; Ziqing Qiao; Ju Ren 001; Yang Liu 165; Yaoxue Zhang (CoRR, 2023)

Federated Offline Policy Optimization with Dual Regularization. - Sheng Yue; Zerui Qin; Xingyuan Hua; Yongheng Deng; Ju Ren 001 (INFOCOM, 2024)

RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning. - Yongheng Deng; Guanbo Wang; Sheng Yue; Wei Rao 003; Qin Zu; Wenjie Wang; Shuai Chen; Ju Ren 001; Yaoxue Zhang (IPSN, 2024)

A Communication-Efficient Hierarchical Federated Learning Framework via Shaping Data Distribution at Edge. - Yongheng Deng; Feng Lyu 001; Tengxi Xia; Yuezhi Zhou; Yaoxue Zhang; Ju Ren 001; Yuanyuan Yang 001 (IEEE/ACM Trans. Netw., 2024)

Inferring the Unofficial Incomes of Officials from Home Ownership. - Yongheng Deng; Shang-Jin Wei (Manag. Sci., 2025)

AugFL: Augmenting Federated Learning with Pretrained Models. - Sheng Yue; Zerui Qin; Yongheng Deng; Ju Ren 001; Yaoxue Zhang; Junshan Zhang (CoRR, 2025)

ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. - Ziqing Qiao; Yongheng Deng; Jiali Zeng; Dong Wang; Lai Wei; Fandong Meng; Jie Zhou; Ju Ren 001; Yaoxue Zhang (CoRR, 2025)

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting. - Zhuo Chen; Zhenya Ma; Yan Zhang 073; Donghua Cai; Ye Zhang; Qiushi Li; Yongheng Deng; Ye Guo; Ju Ren 001; Xuemin Shen (CoRR, 2025)

DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models. - Ye Zhang; Yongheng Deng; Sheng Yue; Qiushi Li; Ju Ren 001 (IEEE Trans. Mob. Comput., 2025)

MASA: Multimodal Federated Learning Through Modality-Aware and Secure Aggregation. - Jialin Guo; Yongjian Fu; Zhiwei Zhai; Xinyi Li; Yongheng Deng; Sheng Yue; Lili Chen; Hao Pan 003; Ju Ren 001 (IEEE Trans. Mob. Comput., 2025)

Cross-Modal Federated Learning among Unimodal Devices. - Yongheng Deng; Ningxin He; Xinyi Li; Fan Wu 014; Yaoxue Zhang; Ju Ren 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)