Yongheng Deng - RankMe

39 papers A* 4A 3B 4C 1Misc 2Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Fine-Tuning Data Recovery Attack on Generative Language Models via Backdooring. IEEE Trans. Inf. Forensics Secur. Zhenya Ma, Yongheng Deng, Ziqing Qiao, Quan Zhang, Chijin Zhou, Fan Wu, Yaoxue Zhang, Ju Ren
2026	J	`jnl`	Less is More: Clustered Cross-Covariance Control for Offline RL. CoRR Nan Qiao, Sheng Yue, Shuning Wang, Yongheng Deng, Ju Ren
2026	J	`jnl`	MANA: Towards Efficient Mobile Ad Detection via Multimodal Agentic UI Navigation. CoRR Yizhe Zhao, Yongjian Fu, Zihao Feng, Hao Pan, Yongheng Deng, Yaoxue Zhang, Ju Ren
2026	—	`conf`	Revisiting Redundancy in Diffusion Transformers: A Temporal-Spatial Joint Caching Strategy for Efficient Sampling. KDD (1) Chenxi Du, Yongheng Deng, Ju Ren, Yaoxue Zhang
2025	J	`jnl`	AugFL: Augmenting Federated Learning With Pretrained Models. IEEE Trans. Netw. Sheng Yue, Zerui Qin, Yongheng Deng, Ju Ren, Yaoxue Zhang, Junshan Zhang
2025	J	`jnl`	AugFL: Augmenting Federated Learning with Pretrained Models. CoRR Sheng Yue, Zerui Qin, Yongheng Deng, Ju Ren, Yaoxue Zhang, Junshan Zhang
2025	J	`jnl`	CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting. CoRR Zhuo Chen, Zhenya Ma, Yan Zhang, Donghua Cai, Ye Zhang, Qiushi Li, Yongheng Deng, Ye Guo, Ju Ren, Xuemin Shen
2025	A*	`conf`	ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. EMNLP Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Guanbo Wang, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang
2025	J	`jnl`	ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. CoRR Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang
2025	J	`jnl`	Cross-Modal Federated Learning among Unimodal Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Yongheng Deng, Ningxin He, Xinyi Li, Fan Wu, Yaoxue Zhang, Ju Ren
2025	A	`conf`	CrossLM: A Data-Free Collaborative Fine-Tuning Framework for Large and Small Language Models. MobiSys Yongheng Deng, Ziqing Qiao, Ye Zhang, Zhenya Ma, Yang Liu, Ju Ren
2025	J	`jnl`	DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models. IEEE Trans. Mob. Comput. Ye Zhang, Yongheng Deng, Sheng Yue, Qiushi Li, Ju Ren
2025	C	`conf`	Efficient LOS/NLOS Classification in 5G NR Using Field Image Transformation and Modified Mean Teacher Framework. IPIN Ziheng Chen, Renhao Liu, Zhongliang Deng, Enwen Hu, Yongheng Deng
2025	B	`conf`	FedAF: Alignment-Augmented Fusion for Federated Multimodal Learning with Small Labels. IWQoS Guanbo Wang, Yongheng Deng, Li Li, Yingjun Wu, Jiaqi Lv, Xinyi Li, Tuowei Wang, Yaoxue Zhang, Ju Ren
2025	J	`jnl`	Gains: Fine-grained Federated Domain Adaptation in Open Set. CoRR Zhengyi Zhong, Wenzheng Jiang, Weidong Bao, Ji Wang, Qi Wang, Guanbo Wang, Yongheng Deng, Ju Ren
2025	J	`jnl`	Inferring the Unofficial Incomes of Officials from Home Ownership. Manag. Sci. Yongheng Deng, Shang-Jin Wei
2025	J	`jnl`	MASA: Multimodal Federated Learning Through Modality-Aware and Secure Aggregation. IEEE Trans. Mob. Comput. Jialin Guo, Yongjian Fu, Zhiwei Zhai, Xinyi Li, Yongheng Deng, Sheng Yue, Lili Chen, Hao Pan, Ju Ren
2025	B	`conf`	Malva: A Jitter-Aware Online Pruning Framework for DNN Inference Tasks. IWQoS Ziyan Fu, Yongheng Deng, Li Li, Yingjun Wu, Zhibo Wang, Su Yao, Yaoxue Zhang, Ju Ren
2025	J	`jnl`	Momentum-Based Contextual Federated Reinforcement Learning. IEEE Trans. Netw. Sheng Yue, Xingyuan Hua, Yongheng Deng, Lili Chen, Ju Ren, Yaoxue Zhang
2024	J	`jnl`	A Communication-Efficient Hierarchical Federated Learning Framework via Shaping Data Distribution at Edge. IEEE/ACM Trans. Netw. Yongheng Deng, Feng Lyu, Tengxi Xia, Yuezhi Zhou, Yaoxue Zhang, Ju Ren, Yuanyuan Yang
2024	A*	`conf`	Federated Offline Policy Optimization with Dual Regularization. INFOCOM Sheng Yue, Zerui Qin, Xingyuan Hua, Yongheng Deng, Ju Ren
2024	J	`jnl`	Federated Offline Policy Optimization with Dual Regularization. CoRR Sheng Yue, Zerui Qin, Xingyuan Hua, Yongheng Deng, Ju Ren
2024	—	`conf`	RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning. IPSN Yongheng Deng, Guanbo Wang, Sheng Yue, Wei Rao, Qin Zu, Wenjie Wang, Shuai Chen, Ju Ren, Yaoxue Zhang
2023	A*	`conf`	A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. INFOCOM Yongheng Deng, Ju Ren, Cheng Tang, Feng Lyu, Yang Liu, Yaoxue Zhang
2023	A	`conf`	A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning. ICDCS Feng Lyu, Cheng Tang, Yongheng Deng, Tong Liu, Yongmin Zhang, Yaoxue Zhang
2023	Misc	`conf`	FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data. SenSys Yongheng Deng, Sheng Yue, Tuowei Wang, Guanbo Wang, Ju Ren, Yaoxue Zhang
2023	B	`conf`	LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning. GLOBECOM Tong Liu, Feng Lyu, Jun Ma, Yongheng Deng, Jiayin Chen, Qilong Tan, Yaoxue Zhang
2023	J	`jnl`	Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer. CoRR Yongheng Deng, Ziqing Qiao, Ju Ren, Yang Liu, Yaoxue Zhang
2022	J	`jnl`	AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning. IEEE Trans. Parallel Distributed Syst. Yongheng Deng, Feng Lyu, Ju Ren, Huaqing Wu, Yuezhi Zhou, Yaoxue Zhang, Xuemin Shen
2022	B	`conf`	HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization. CNSM Tengxi Xia, Yongheng Deng, Sheng Yue, Junyi He, Ju Ren, Yaoxue Zhang
2022	J	`jnl`	Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation. IEEE Trans. Parallel Distributed Syst. Yongheng Deng, Feng Lyu, Ju Ren, Yi-Chao Chen, Peng Yang, Yuezhi Zhou, Yaoxue Zhang
2022	J	`jnl`	Making resource adaptive to federated learning with COTS mobile devices. Peer-to-Peer Netw. Appl. Yongheng Deng, Shuang Gu, Chengbo Jiao, Xing Bao, Feng Lyu
2022	Misc	`conf`	TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity. SenSys Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, Yaoxue Zhang
2021	A*	`conf`	FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation. INFOCOM Yongheng Deng, Feng Lyu, Ju Ren, Yi-Chao Chen, Peng Yang, Yuezhi Zhou, Yaoxue Zhang
2021	J	`jnl`	Mortgage Brokers and the Effectiveness of Regulatory Oversights. Manag. Sci. Sumit Agarwal, Swee Hoon Ang, Yongheng Deng, Yonglin Wang
2021	A	`conf`	SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning. ICDCS Yongheng Deng, Feng Lyu, Ju Ren, Yongmin Zhang, Yuezhi Zhou, Yaoxue Zhang, Yuanyuan Yang
2019	J	`jnl`	A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data. J. Inf. Sci. Jiangzhou Deng, Yong Wang, Junpeng Guo, Yongheng Deng, Jerry Gao, Younghee Park
2019	J	`jnl`	Toward Fast and Distributed Computation Migration System for Edge Computing in IoT. IEEE Internet Things J. Chao Wu, Yaoxue Zhang, Yongheng Deng
2018	—	`conf`	Research on investor sentiment and stock market prediction based on Weibo text. SPAC Yongheng Deng, Qing Xie, Yong Wang