Zhen Qin - RankMe

36 papers A* 8A 2Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bi-directional distillation enabling progressive lightweight model training in edge computing-based federated learning. Appl. Soft Comput. Yishan Chen, Wenshuo Dai, Zhen Qin, Junxiao Han
2026	J	`jnl`	Can Vision-Language Models Handle Long-Context Code? An Empirical Study on Visual Compression. CoRR Jianping Zhong, Guochang Li, Chen Zhi, Junxiao Han, Zhen Qin, Xinkui Zhao, Nan Wang, Shuiguang Deng, Jianwei Yin
2026	J	`jnl`	Federated Knowledge Distillation Using Hierarchical Reinforcement Learning in Resource-Constrained IoT Edge-Cloud Computing Environments. IEEE Trans. Mob. Comput. Yishan Chen, Zhiqiang Wang, Huashuai Cai, Zhen Qin, Shuiguang Deng
2026	A*	`conf`	Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures. WWW Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, Shuiguang Deng
2026	J	`jnl`	Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAG. CoRR Yicheng Zhang, Zhen Qin, Zhaomin Wu, Wenqi Zhang, Shuiguang Deng
2025	J	`jnl`	Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles. ACM Trans. Auton. Adapt. Syst. Shengye Pang, Yi Li, Zhen Qin, Xinkui Zhao, Jintao Chen, Fan Wang, Jianwei Yin
2025	J	`jnl`	Disentangled progressive negative sampling for graph collaborative filtering recommendation. Knowl. Based Syst. Hewei Li, Xin Zhang, He Weng, Yingjie Shen, Kangkai Cai, Dongjing Wang, Zhen Qin, Shuiguang Deng
2025	J	`jnl`	Empowering RepoQA-Agent based on Reinforcement Learning Driven by Monte-carlo Tree Search. CoRR Guochang Li, Yuchen Liu, Zhen Qin, Yunkun Wang, Jianping Zhong, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng
2025	—	`conf`	ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration. ACL (1) Yunkun Wang, Yue Zhang, Zhen Qin, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng
2025	—	`conf`	Federated Data-Efficient Instruction Tuning for Large Language Models. ACL (Findings) Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng
2025	J	`jnl`	Model-Oriented Training With Two-Stage Hierarchical Knowledge Distillation Under Non-IID Conditions in Federated Edge-Cloud Collaboration. IEEE Trans. Cloud Comput. Yishan Chen, Wenshuo Dai, Junxiao Han, Zhen Qin, Shuiguang Deng
2025	A*	`conf`	SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples. ACM Multimedia Yin Wang, Zixuan Wang, Hao Lu, Zhen Qin, Hailiang Zhao, Guanjie Cheng, Xin Du, Ge Su, Li Kuang, MengChu Zhou, Shuiguang Deng
2025	J	`jnl`	SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples. CoRR Yin Wang, Zixuan Wang, Hao Lu, Zhen Qin, Hailiang Zhao, Guanjie Cheng, Ge Su, Li Kuang, MengChu Zhou, Shuiguang Deng
2025	J	`jnl`	The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2025	J	`jnl`	Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly. CoRR Zhaomin Wu, Zhen Qin, Junyi Hou, Haodong Zhao, Qinbin Li, Bingsheng He, Lixin Fan
2024	A*	`conf`	BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework. WWW Zhen Qin, Xueqiang Yan, MengChu Zhou, Shuiguang Deng
2024	J	`jnl`	ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration. CoRR Yunkun Wang, Yue Zhang, Zhen Qin, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng
2024	J	`jnl`	Federated Data-Efficient Instruction Tuning for Large Language Models. CoRR Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng
2024	A*	`conf`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. ICML Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	A*	`conf`	LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. WWW Feiyi Chen, Zhen Qin, MengChu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen
2024	A*	`conf`	Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. ICDE Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2024	J	`jnl`	Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures. CoRR Yicheng Zhang, Zhen Qin, Zhaomin Wu, Shuiguang Deng
2024	A*	`conf`	Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. AAAI Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng
2024	J	`jnl`	The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2023	J	`jnl`	6G Data Plane: A Novel Architecture Enabling Data Collaboration with Arbitrary Topology. Mob. Networks Appl. Zhen Qin, Shuiguang Deng, Xueqiang Yan, Lu Lu, Mingyu Zhao, Yan Xi, Jianjun Wu, Tao Sun, Nanxiang Shi
2023	A*	`conf`	FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity. KDD Zhen Qin, Shuiguang Deng, Mingyu Zhao, Xueqiang Yan
2023	J	`jnl`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2023	J	`jnl`	MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. CoRR Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2023	J	`jnl`	PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload. CoRR Feiyi Chen, Zhen Qin, Hailiang Zhao, MengChu Zhou, Shuiguang Deng
2023	J	`jnl`	Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. CoRR Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng
2023	J	`jnl`	ST-EUA: Spatio-Temporal Edge User Allocation With Task Decomposition. IEEE Trans. Serv. Comput. Guobing Zou, Ya Liu, Zhen Qin, Jin Chen, Zhiwei Xu, Yanglan Gan, Bofeng Zhang, Qiang He
2022	J	`jnl`	DeepWSC: Clustering Web Services via Integrating Service Composability into Deep Semantic Features. IEEE Trans. Serv. Comput. Guobing Zou, Zhen Qin, Qiang He, Pengwei Wang, Bofeng Zhang, Yanglan Gan
2022	J	`jnl`	Secure and Efficient Decentralized Federated Learning with Data Representation Protection. CoRR Zhen Qin, Xueqiang Yan, MengChu Zhou, Shuiguang Deng
2021	J	`jnl`	Towards the optimality of service instance selection in mobile edge computing. Knowl. Based Syst. Guobing Zou, Zhen Qin, Shuiguang Deng, Kuan-Ching Li, Yanglan Gan, Bofeng Zhang
2020	A	`conf`	TD-EUA: Task-Decomposable Edge User Allocation with QoE Optimization. ICSOC Guobing Zou, Ya Liu, Zhen Qin, Jin Chen, Zhiwei Xu, Yanglan Gan, Bofeng Zhang, Qiang He
2019	A	`conf`	DeepWSC: A Novel Framework with Deep Neural Network for Web Service Clustering. ICWS Guobing Zou, Zhen Qin, Qiang He, Pengwei Wang, Bofeng Zhang, Yanglan Gan