Jun Xia - RankMe

42 papers A* 5A 4C 1Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Effective reinforcement learning-based dynamic flexible job shop scheduling using two-stage dispatching. J. Syst. Archit. Jiepin Ding, Jun Xia, Yutong Ye, Mingsong Chen
2026	J	`jnl`	NeFT: Negative Feedback Training to Improve Robustness of Compute-in-Memory DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yifan Qin, Zheyu Yan, Dailin Gan, Jun Xia, Zixuan Pan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi
2026	J	`jnl`	Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups. CoRR Gelei Xu, Yuying Duan, Jun Xia, Ruining Deng, Wei Jin, Yiyu Shi
2026	J	`jnl`	Rethinking fairness in medical imaging: Maximizing group-specific performance with application to skin disease diagnosis. Medical Image Anal. Gelei Xu, Yuying Duan, Jun Xia, Ching-Hao Chiu, Michael Lemmon, Wei Jin, Yiyu Shi
2026	J	`jnl`	SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation. CoRR Zixuan Pan, Kaiyuan Tang, Jun Xia, Yifan Qin, Lin Gu, Chaoli Wang, Jianxu Chen, Yiyu Shi
2025	J	`jnl`	AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays. CoRR Xueyang Li, Mingze Jiang, Gelei Xu, Jun Xia, Mengzhao Jia, Danny Chen, Yiyu Shi
2025	A	`conf`	Enabling Memory-Efficient On-Device Learning via Dataset Condensation. DATE Gelei Xu, Ningzhi Tang, Jun Xia, Ruiyang Qin, Wei Jin, Yiyu Shi
2025	J	`jnl`	Energy-Efficient Shop Scheduling Using Space-Cooperation Multi-Objective Optimization. IEEE Trans. Sustain. Comput. Jiepin Ding, Jun Xia, Yaning Yang, Junlong Zhou, Mingsong Chen, Keqin Li
2025	J	`jnl`	FairLRF: Achieving Fairness through Sparse Low Rank Factorization. CoRR Yuanbo Guo, Jun Xia, Yiyu Shi
2025	J	`jnl`	FedGraft: Memory-Aware Heterogeneous Federated Learning via Model Grafting. IEEE Trans. Mob. Comput. Ruixuan Liu, Ming Hu, Zeke Xia, Xiaofei Xie, Jun Xia, Pengyu Zhang, Yihao Huang, Mingsong Chen
2025	—	`conf`	Multi-Exit Class Activation Map Guided Feature Masking for Unsupervised Out-of-Distribution Detection in Medical Imaging. BIBM Zixuan Pan, Yu-Jen Chen, Jun Xia, Max Ficco, Jianxu Chen, Tsung-Yi Ho, Yiyu Shi
2025	—	`conf`	Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. BIBM Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yifan Qin, Xueyang Li, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi
2024	A*	`conf`	Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. DAC Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi
2024	J	`jnl`	Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation. CoRR Gelei Xu, Ningzhi Tang, Jun Xia, Wei Jin, Yiyu Shi
2024	J	`jnl`	Knowledge-Based Effective Dispatch for Job Shop Scheduling. J. Circuits Syst. Comput. Jiepin Ding, Jun Xia, Yutong Ye, Yuan Ma, Mingsong Chen
2024	J	`jnl`	Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. CoRR Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi
2024	A	`conf`	Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client. ICCAD Jun Xia, Yi Zhang, Yiyu Shi
2024	J	`jnl`	Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client. CoRR Jun Xia, Yi Zhang, Yiyu Shi
2024	A*	`conf`	WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks. NeurIPS Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen
2023	J	`jnl`	AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems. CoRR Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen
2023	J	`jnl`	Automated Synthesis of Safe Timing Behaviors for Requirements Models Using CCSL. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ming Hu, Jun Xia, Min Zhang, Xiaohong Chen, Frédéric Mallet, Mingsong Chen
2023	J	`jnl`	Efficient Federated Learning for AIoT Applications Using Knowledge Distillation. IEEE Internet Things J. Tian Liu, Jun Xia, Zhiwei Ling, Xin Fu, Shui Yu, Mingsong Chen
2023	J	`jnl`	Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. CoRR Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi
2023	—	`conf`	FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection. ISPA/BDCloud/SocialCom/SustainCom Zhiwei Ling, Zhihao Yue, Jun Xia, Ting Wang, Mingsong Chen, Xiang Lian
2023	A	`conf`	GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control. RTSS Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen
2023	J	`jnl`	Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning. CoRR Dengke Yan, Ming Hu, Zeke Xia, Yanxin Yang, Jun Xia, Xiaofei Xie, Mingsong Chen
2023	A*	`conf`	Model-Contrastive Learning for Backdoor Elimination. ACM Multimedia Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen
2023	J	`jnl`	Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation. CoRR Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen
2023	J	`jnl`	WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks. CoRR Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Xian Wei, Mingsong Chen
2022	A*	`conf`	Accelerated synthesis of neural network-based barrier certificates using collaborative learning. DAC Jun Xia, Ming Hu, Xin Chen, Mingsong Chen
2022	A*	`conf`	Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation. IJCAI Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen
2022	J	`jnl`	Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation. CoRR Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen
2022	J	`jnl`	FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment. CoRR Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen
2022	J	`jnl`	GitFL: Adaptive Asynchronous Federated Learning using Version Control. CoRR Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen
2022	J	`jnl`	HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation. CoRR Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen
2022	J	`jnl`	Model-Contrastive Learning for Backdoor Defense. CoRR Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen
2022	J	`jnl`	PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jun Xia, Tian Liu, Zhiwei Ling, Ting Wang, Xin Fu, Mingsong Chen
2021	J	`jnl`	An Ensemble Learning-Based Cooperative Defensive Architecture Against Adversarial Attacks. J. Circuits Syst. Comput. Tian Liu, Yunfei Song, Ming Hu, Jun Xia, Jianning Zhang, Mingsong Chen
2021	J	`jnl`	Efficient Federated Learning for AIoT Applications Using Knowledge Distillation. CoRR Tian Liu, Jun Xia, Xian Wei, Ting Wang, Xin Fu, Mingsong Chen
2021	J	`jnl`	Efficient Federated Learning for Cloud-Based AIoT Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xinqian Zhang, Ming Hu, Jun Xia, Tongquan Wei, Mingsong Chen, Shiyan Hu
2019	A	`conf`	A PYNQ-compliant Online Platform for Zynq-based DNN Developers. FPGA Chen Chen, Jun Xia, Wenmin Yang, Kang Li, Zhilei Chai
2018	C	`conf`	Decouple and Stretch: A Boost to Channel Pruning. IPCCC Zhen Chen, Jianxin Lin, Sen Liu, Jun Xia, Weiping Li