Yao Lu - RankMe

40 papers A* 1Misc 2Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dataset distillation with pre-trained models: A contrastive approach. Neurocomputing Yao Lu, Xuguang Chen, Jianyang Gu, Yuchen Zhang, Qi Xuan, Zhaowei Zhu
2026	A*	`conf`	SepPrune: Structured Pruning for Efficient Deep Speech Separation. AAAI Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Zeyu Dong, Zhengtao Yao, Haoyan Xu, Yingli Tian, Yao Lu
2026	J	`jnl`	Vision-language models for person re-identification: a survey and outlook. Inf. Fusion Guorong Lin, Wei-Shi Zheng, Zuoyong Li, Yao Lu, Xiaowen Ma, Zhenhua Huang
2025	J	`jnl`	A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models. IEEE Trans. Cogn. Commun. Netw. Yao Lu, Yutao Zhu, Yuqi Li, Dongwei Xu, Yun Lin, Qi Xuan, Xiaoniu Yang
2025	J	`jnl`	AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models. Trans. Mach. Learn. Res. Yao Lu, Zhaiyuan Ji, Jiawei Du, Shanqing Yu, Qi Xuan, Joey Tianyi Zhou
2025	J	`jnl`	DSPC: Dual-Stage Progressive Compression Framework for Efficient Long-Context Reasoning. CoRR Yaxin Gao, Yao Lu, Zongfei Zhang, Jiaqi Nie, Shanqing Yu, Qi Xuan
2025	J	`jnl`	DUSE: A Data Expansion Framework for Low-resource Automatic Modulation Recognition based on Active Learning. CoRR Yao Lu, Hongyu Gao, Zhuangzhi Chen, Dongwei Xu, Yun Lin, Qi Xuan, Guan Gui
2025	J	`jnl`	FCOS: A Two-Stage Recoverable Model Pruning Framework for Automatic Modulation Recognition. CoRR Yao Lu, Tengfei Ma, Zeyu Wang, Zhuangzhi Chen, Dongwei Xu, Yun Lin, Qi Xuan, Guan Gui
2025	J	`jnl`	Few-shot Molecular Property Prediction: A Survey. CoRR Zeyu Wang, Tianyi Jiang, Huanchang Ma, Yao Lu, Xiaoze Bao, Shanqing Yu, Qi Xuan, Shirui Pan, Xin Zheng
2025	J	`jnl`	From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling. CoRR Yao Lu, Zhaiyuan Ji, Jiawei Du, Shanqing Yu, Qi Xuan, Tianyi Zhou
2025	J	`jnl`	Graph-Based Similarity of Deep Neural Networks. Neurocomputing Zuohui Chen, Yao Lu, Jinxuan Hu, Qi Xuan, Zhen Wang, Xiaoniu Yang
2025	J	`jnl`	HSCP: A Two-Stage Spectral Clustering Framework for Resource-Constrained UAV Identification. CoRR Maoyu Wang, Yao Lu, Bo Zhou, Zhuangzhi Chen, Yun Lin, Qi Xuan, Guan Gui
2025	J	`jnl`	Knowledge-enhanced Relation Graph and Task Sampling for few-shot molecular property prediction. Inf. Sci. Zeyu Wang, Tianyi Jiang, Yao Lu, Xiaoze Bao, Shanqing Yu, Bin Wei, Qi Xuan, Hong Wang
2025	J	`jnl`	LoRALib: A Standardized Benchmark for Evaluating LoRA-MoE Methods. CoRR Shaoheng Wang, Yao Lu, Yuqi Li, Yaxin Gao, Jiaqi Nie, Shanqing Yu, Yingli Tian, Qi Xuan
2025	J	`jnl`	MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition. CoRR Dongwei Xu, Yutao Zhu, Yao Lu, Youpeng Feng, Yun Lin, Qi Xuan
2025	J	`jnl`	ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices. CoRR Maoyu Wang, Yao Lu, Jiaqi Nie, Zeyu Wang, Yun Lin, Qi Xuan, Guan Gui
2025	J	`jnl`	SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing. CoRR Qiuhao Liu, Ling Li, Yao Lu, Qi Xuan, Zhaowei Zhu, Jiaheng Wei
2025	J	`jnl`	SepPrune: Structured Pruning for Efficient Deep Speech Separation. CoRR Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Junhao Dong, Zeyu Dong, Chuanguang Yang, Yingli Tian, Yao Lu
2025	J	`jnl`	The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models. CoRR Yao Lu, Yuqi Li, Wenbin Xie, Shanqing Yu, Qi Xuan, Zhaowei Zhu, Shiping Wen
2024	J	`jnl`	A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models. CoRR Yao Lu, Yutao Zhu, Yuqi Li, Dongwei Xu, Yun Lin, Qi Xuan, Xiaoniu Yang
2024	J	`jnl`	Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network. CoRR Shanqing Yu, Meng Zhou, Jintao Zhou, Minghao Zhao, Yidan Song, Yao Lu, Zeyu Wang, Qi Xuan
2024	—	`conf`	Exploring the Impact of Dataset Bias on Dataset Distillation. CVPR Workshops Yao Lu, Jianyang Gu, Xuguang Chen, Saeed Vahidian, Qi Xuan
2024	J	`jnl`	Exploring the Impact of Dataset Bias on Dataset Distillation. CoRR Yao Lu, Jianyang Gu, Xuguang Chen, Saeed Vahidian, Qi Xuan
2024	—	`conf`	How Does Contrastive Learning Organize Images? WACV (Workshops) Yunzhe Zhang, Yao Lu, Qi Xuan
2024	J	`jnl`	Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction. CoRR Zeyu Wang, Tianyi Jiang, Yao Lu, Xiaoze Bao, Shanqing Yu, Bin Wei, Qi Xuan
2024	J	`jnl`	MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis. CoRR Dongwei Xu, Jiajun Chen, Yao Lu, Tianhao Xia, Qi Xuan, Wei Wang, Yun Lin, Xiaoniu Yang
2024	J	`jnl`	RGP: Neural Network Pruning Through Regular Graph With Edges Swapping. IEEE Trans. Neural Networks Learn. Syst. Zhuangzhi Chen, Jingyang Xiang, Yao Lu, Qi Xuan, Zhen Wang, Guanrong Chen, Xiaoniu Yang
2024	Misc	`conf`	RK-CORE: An Established Methodology for Exploring the Hierarchical Structure within Datasets. ICASSP Yao Lu, Yutian Huang, Jiaqi Nie, Zuohui Chen, Qi Xuan
2024	J	`jnl`	Reassessing Layer Pruning in LLMs: New Insights and Methods. CoRR Yao Lu, Hao Cheng, Yujie Fang, Zeyu Wang, Jiaheng Wei, Dongwei Xu, Qi Xuan, Xiaoniu Yang, Zhaowei Zhu
2024	J	`jnl`	RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively. CoRR Yao Lu, Peixin Zhang, Jingyi Wang, Lei Ma, Xiaoniu Yang, Qi Xuan
2024	J	`jnl`	SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models. CoRR Yuqi Li, Yao Lu, Zeyu Dong, Chuanguang Yang, Yihao Chen, Jianping Gou
2023	J	`jnl`	Can pre-trained models assist in dataset distillation? CoRR Yao Lu, Xuguang Chen, Yuchen Zhang, Jianyang Gu, Tianle Zhang, Yifan Zhang, Xiaoniu Yang, Qi Xuan, Kai Wang, Yang You
2023	J	`jnl`	Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective. CoRR Yunzhe Zhang, Yao Lu, Lei Xu, Kunlin Yang, Hui Tang, Shuyuan Ye, Qi Xuan
2023	J	`jnl`	RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets. CoRR Yao Lu, Yutian Huang, Jiaqi Nie, Zuohui Chen, Qi Xuan
2023	Misc	`conf`	SR-init: An Interpretable Layer Pruning Method. ICASSP Hui Tang, Yao Lu, Qi Xuan
2023	J	`jnl`	SR-init: An interpretable layer pruning method. CoRR Hui Tang, Yao Lu, Qi Xuan
2022	—	`conf`	Understanding the Dynamics of DNNs Using Graph Modularity. ECCV (12) Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang
2021	J	`jnl`	Graph-Based Similarity of Neural Network Representations. CoRR Zuohui Chen, Yao Lu, Wen Yang, Qi Xuan, Xiaoniu Yang
2021	J	`jnl`	RGP: Neural Network Pruning through Its Regular Graph Structure. CoRR Zhuangzhi Chen, Jingyang Xiang, Yao Lu, Qi Xuan
2021	J	`jnl`	Understanding the Dynamics of DNNs Using Graph Modularity. CoRR Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang