Yu Liu - RankMe

102 papers A* 5A 1B 12C 5Misc 3Journal 43Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Framework for Emotion Recognition and Sentiment Analysis via Expert-Guided Multimodal Fusion with Large Language Models. CoRR Jiaqi Qiao, Xiujuan Xu, Xinran Li, Yu Liu
2026	A*	`conf`	Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning. AAAI Xinran Li, Yu Liu, Jiaqi Qiao, Xiujuan Xu
2026	A*	`conf`	EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision. AAAI Yifei Cao, Yu Liu, Guolong Wang, Zhu Liu, Kai Wang, Xianjie Zhang, Jizhe Yu, Xun Tu
2026	J	`jnl`	Two birds with one stone: Query-dependent moment retrieval in muted video or audio via inter-token interactions. Inf. Sci. Guolong Wang, Xun Tu, Sutian Hou, Yifei Cao, Ying Lin, Yu Liu
2025	J	`jnl`	CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer. CoRR Xinran Li, Yu Liu, Xiujuan Xu, Xiaowei Zhao
2025	J	`jnl`	Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning. CoRR Xinran Li, Yu Liu, Jiaqi Qiao, Xiujuan Xu
2025	J	`jnl`	EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision. CoRR Yifei Cao, Yu Liu, Guolong Wang, Zhu Liu, Kai Wang, Xianjie Zhang, Jizhe Yu, Xun Tu
2025	J	`jnl`	Knowledge Graph Fine-grained Modeling Network with Contrastive Learning for Recommendation. ACM Trans. Knowl. Discov. Data Xiya Bu, Yu Liu
2025	—	`conf`	MatFuseU-Net: Enhancing Lesion Segmentation with Matrix Factorization-Based U-Net Architecture. BIBM Zishuo Zhang, Xiujuan Xu, Yu Liu, Xiaowei Zhao
2025	J	`jnl`	Mf-cite: citation intent classification in scientific papers based on multi-feature fusion. Scientometrics Xiujuan Xu, Yueyue Xie, Xiaowei Zhao, Yu Liu
2025	Misc	`conf`	Multi-modal Entity Alignment under Imbalanced Visual Modality Information. ICASSP Xin Zhang, Yu Liu, Shimin Shan
2025	—	`conf`	NaviPath: A Novel Knowledge Graph-Based RAG Framework for Medical QA. BIBM Zhehuan Zhao, Yuran Zhang, Bo Xu, Ludan Zhang, Yu Liu, Shimin Shan, Jian Wang, Hongfei Lin
2025	—	`conf`	PA2Net: Pyramid Attention Aggregation Network for Saliency Detection. MMM (3) Jizhe Yu, Yu Liu, Xiaoshuai Wu, Kaiping Xu, Jiangquan Li
2025	B	`conf`	PAP-SAM: Global-Local Prior Adaptive Perception SAM for Co-Salient Object Detection. ICMR Jizhe Yu, Xiya Bu, Yu Liu, Kaiping Xu
2025	J	`jnl`	TranStable: Towards Robust Pixel-level Online Video Stabilization by Jointing Transformer and CNN. CoRR Zhizhen Li, Tianyi Zhuo, Yifei Cao, Jizhe Yu, Yu Liu
2025	—	`conf`	Vision-Text Interaction with Orientation-Awareness for Referring Remote Sensing Image Segmentation. ICANN (2) Xiaoshuai Wu, Yu Liu, Kaiping Xu, Hao Zhang, Jizhe Yu
2025	B	`conf`	Visual Grounding with Feature Enhancement and Language-Aware Attribute Guidance. ICMR Xiya Bu, Jizhe Yu, Yu Liu, Kaiping Xu
2024	J	`jnl`	A self-supervised entity alignment framework via attribute correction. J. King Saud Univ. Comput. Inf. Sci. Xin Zhang, Yu Liu, Hongkui Wei, Shimin Shan, Zhehuan Zhao
2024	—	`conf`	CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer. BIBM Xinran Li, Xiujuan Xu, Yu Liu, Xiaowei Zhao
2024	B	`conf`	DCMFNet: Deep Cross-Modal Fusion Network for Different Modalities with Iterative Gated Fusion. Graphics Interface Zhen Huang, Mingcheng Xue, Yu Liu, Kaiping Xu, Jiangquan Li, Chengyang Yu
2024	—	`conf`	ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes. LREC/COLING Xiujuan Xu, Xiaoxiao Shi, Zhehuan Zhao, Yu Liu
2024	J	`jnl`	Extensible Multi-Granularity Fusion Network for Aspect-based Sentiment Analysis. CoRR Xiaowei Zhao, Yong Zhou, Xiujuan Xu, Yu Liu
2024	—	`conf`	Global-Guided Weighted Enhancement for Salient Object Detection. ICANN (2) Jizhe Yu, Yu Liu, Hongkui Wei, Kaiping Xu, Yifei Cao, Jiangquan Li
2024	B	`conf`	Learn to Walk with Continuous-action for Knowledge-enhanced Recommendation System. IJCNN Jiahao Sun, Yu Liu, Xianjie Zhang, Xiujuan Xu, Li Hong, Kai Wang
2024	B	`conf`	Learning Modality-Complementary and Eliminating-Redundancy Representations with Multi-Task Learning for Multimodal Sentiment Analysis. IJCNN Xiaowei Zhao, Xinyu Miao, Xiujuan Xu, Yu Liu, Yifei Cao
2024	A	`conf`	MLGAT: Multi-Scale Line Graph Attention Network for Emotion Recognition in Conversation. ECAI Xiujuan Xu, Xiaoxiao Shi, Zhehuan Zhao, Yu Liu
2024	—	`conf`	STA: Enhancing Spatio-temporal Crowd Flow Prediction Using Attention-based Deep Learning and Feature Similarity. ADMA (3) Xiujuan Xu, Renjie Liu, Jiaxin Ai, Yu Liu, Xiaowei Zhao
2024	Misc	`conf`	Semantics Driven Multi-View Knowledge Graph Embedding for Cross-Lingual Entity Alignment. ICASSP Xin Zhang, Yu Liu, Zhehuan Zhao
2024	—	`conf`	Towards Highly Effective Moving Tiny Ball Tracking via Vision Transformer. ICIC (3) Jizhe Yu, Yu Liu, Hongkui Wei, Kaiping Xu, Yifei Cao, Jiangquan Li
2024	C	`conf`	Towards More Accurate Tiny Object Tracking: Benchmark and Algorithm. CSCWD Jizhe Yu, Yu Liu, Hongkui Wei, Kaiping Xu
2023	B	`conf`	AIUnet: Asymptotic inference with U2-Net for referring image segmentation. ICMI Jiangquan Li, Shimin Shan, Yu Liu, Kaiping Xu, Xiwen Hu, Mingcheng Xue
2023	J	`jnl`	Digital Twin Empowered Wireless Healthcare Monitoring for Smart Home. IEEE J. Sel. Areas Commun. Junxin Chen, Wei Wang, Bo Fang, Yu Liu, Keping Yu, Victor C. M. Leung, Xiping Hu
2023	B	`conf`	Dual Relation-Aware Entity Alignment for Knowledge Graph. IJCNN Xin Zhang, Yu Liu, Zhehuan Zhao
2023	J	`jnl`	Dual-Channel Neural Network for Atrial Fibrillation Detection From a Single Lead ECG Wave. IEEE J. Biomed. Health Informatics Bo Fang, Junxin Chen, Yu Liu, Wei Wang, Ke Wang, Amit Kumar Singh, Zhihan Lv
2023	J	`jnl`	Ensemble Learning-Based Atrial Fibrillation Detection From Single Lead ECG Wave for Wireless Body Sensor Network. IEEE Trans. Netw. Sci. Eng. Yu Liu, Junxin Chen, Bo Fang, Yongyong Chen, Zhihan Lv
2023	—	`conf`	Self-Supervised Graph Convolution for Video Moment Retrieval. ICANN (10) Xiwen Hu, Guolong Wang, Shimin Shan, Yu Liu, Jiangquan Li
2022	J	`jnl`	Common belief multi-agent reinforcement learning based on variational recurrent models. Neurocomputing Xianjie Zhang, Yu Liu, Hangyu Mao, Chao Yu
2022	J	`jnl`	DDCNN: A Deep Learning Model for AF Detection From a Single-Lead Short ECG Signal. IEEE J. Biomed. Health Informatics Zhaocheng Yu, Junxin Chen, Yu Liu, Yongyong Chen, Tingting Wang, Robert M. Nowak, Zhihan Lv
2022	J	`jnl`	MM-UrbanFAC: Urban Functional Area Classification Model Based on Multimodal Machine Learning. IEEE Trans. Intell. Transp. Syst. Xiujuan Xu, Yulin Bai, Yu Liu, Xiaowei Zhao, Yuzhi Sun
2022	B	`conf`	Structured Multimodal Fusion Network for Referring Image Segmentation. ICMI Mingcheng Xue, Yu Liu, Kaiping Xu, Haiyang Zhang, Chengyang Yu
2022	A*	`conf`	Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. WWW Kai Wang, Yu Liu, Quan Z. Sheng
2022	J	`jnl`	Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. CoRR Kai Wang, Yu Liu, Quan Z. Sheng
2021	—	`conf`	A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation. ICONIP (5) Tao Dong, Shimin Shan, Yu Liu, Yue Qian, Anqi Ma
2021	—	`conf`	A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification. CCIR Kaixin Wang, Xiujuan Xu, Yu Liu, Zhehuan Zhao
2021	J	`jnl`	A deep-learning based citation count prediction model with paper metadata semantic features. Scientometrics Anqi Ma, Yu Liu, Xiujuan Xu, Tao Dong
2021	J	`jnl`	High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings. CoRR Kai Wang, Yu Liu, Quan Z. Sheng
2021	—	`conf`	Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings. EMNLP (Findings) Kai Wang, Yu Liu, Dan Lin, Michael Sheng
2021	A*	`conf`	MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings. WWW Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng
2021	A*	`conf`	Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction. IJCAI Kai Wang, Yu Liu, Quan Z. Sheng
2021	J	`jnl`	Seq2Img-DRNET: A travel time index prediction algorithm for complex road network at regional level. Expert Syst. Appl. Xiujuan Xu, Yuzhi Sun, Yulin Bai, Kai Zhang, Yu Liu, Xiaowei Zhao
2021	J	`jnl`	Structural relational inference actor-critic for multi-agent reinforcement learning. Neurocomputing Xianjie Zhang, Yu Liu, Xiujuan Xu, Qiong Huang, Hangyu Mao, Anil Carie
2021	J	`jnl`	Survey on atrial fibrillation detection from a single-lead ECG wave for Internet of Medical Things. Comput. Commun. Yu Liu, Junxin Chen, Nan Bao, Brij B. Gupta, Zhihan Lv
2021	—	`conf`	TL-BERT: A Novel Biomedical Relation Extraction Approach. BIBM Zhehuan Zhao, Yuying Zou, Yang Tian, Bo Xu, Zhihao Yang, Jian Wang, Hongfei Lin, Shimin Shan, Yu Liu
2020	B	`conf`	A Context-Based Network For Referring Image Segmentation. ICIP Xinyu Li, Yu Liu, Kaiping Xu, Zhehuan Zhao, Sipei Liu
2020	—	`conf`	DRGCN: Deep Relation GCN for Group Activity Recognition. ICONIP (4) Yiqiang Feng, Shimin Shan, Yu Liu, Zhehuan Zhao, Kaiping Xu
2020	J	`jnl`	Enhancing knowledge graph embedding by composite neighbors for link prediction. Computing Kai Wang, Yu Liu, Xiujuan Xu, Quan Z. Sheng
2020	J	`jnl`	Leveraging citation influences for Modeling scientific documents. World Wide Web Yue Qian, Yu Liu, Xiujuan Xu, Quan Z. Sheng
2020	—	`conf`	MCA-TFP Model: A Short-Term Traffic Flow Prediction Model Based on Multi-characteristic Analysis. ICPCSEE (2) Xiujuan Xu, Lu Xu, Yulin Bai, Zhenzhen Xu, Xiaowei Zhao, Yu Liu
2020	J	`jnl`	Multi-teacher Knowledge Distillation for Knowledge Graph Completion. CoRR Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng
2020	—	`conf`	StarIn: An Approach to Predict the Popularity of GitHub Repository. ICPCSEE (2) Leiming Ren, Shimin Shan, Xiujuan Xu, Yu Liu
2020	J	`jnl`	Understanding hierarchical structural evolution in a scientific discipline: A case study of artificial intelligence. J. Informetrics Yue Qian, Yu Liu, Quan Z. Sheng
2019	B	`conf`	Distantly Supervised Relation Extraction through a Trade-off Mechanism. IJCNN Jun Ni, Yu Liu, Kai Wang, Zhehuan Zhao, Quan Z. Sheng
2019	J	`jnl`	ITS-Frame: A Framework for Multi-Aspect Analysis in the Field of Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. Xiujuan Xu, Yu Liu, Wei Wang, Xiaowei Zhao, Quan Z. Sheng, Zhe Wang, Bowen Shi
2019	—	`conf`	ScholarSeq: A Benchmark Dataset for Calculating Sequences of Impact Measures at Individual Level. CSAE Yu Liu, Zhenzhao Sun, Yizhou Yan, Jing Li
2018	J	`jnl`	An encryption algorithm based on combined chaos in body area networks. Comput. Electr. Eng. Wei Wang, Miaomiao Si, Yu Pang, Peng Ran, Huiqian Wang, Xiaoming Jiang, Yu Liu, Jun Wu, Wei Wu, Naveen K. Chilamkurti, Gwanggil Jeon
2018	J	`jnl`	Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network. CoRR Kai Wang, Yu Liu, Xiujuan Xu, Dan Lin
2018	J	`jnl`	Multi-views on Nature Index of Chinese academic institutions. Scientometrics Yu Liu, Dan Lin, Xiujuan Xu, Shimin Shan, Quan Z. Sheng
2018	—	`conf`	Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. BIBM Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia
2018	—	`conf`	Offering Artificial Intelligence Development Situation Analysis Service for Users. ICSOC Workshops Xiujuan Xu, Tingting Jiang, Shimin Shan, Jun Ni, Kai Wang, Zhenlong Xu, Yu Liu
2018	Misc	`conf`	Robust Sequence-Based Localization in Acoustic Sensor Networks. ICASSP Naigao Jin, Xin Zhou, Zihan Wang, Yu Liu, Lei Wang
2018	B	`conf`	ThunderLoc: Smartphone-Based Crowdsensing for Thunder Localization. SECON Naigao Jin, Xin Zhou, Chi Lin, Lei Wang, Yu Liu, Mathew L. Wymore, Daji Qiao
2017	C	`conf`	Collaboration Patterns at Scheduling in 10 Years. CDVE Xiujuan Xu, Yu Liu, Ruixin Ma, Quan Z. Sheng
2017	—	`conf`	Content-based emotion classification in online social networks for Chinese Microblogs. ACSW Xiujuan Xu, Xiaowei Zhao, Fei Xiong, Shimin Shan, Yu Liu
2016	J	`jnl`	A Bibliographic Analysis and Collaboration Patterns of IEEE Transactions on Intelligent Transportation Systems Between 2000 and 2015. IEEE Trans. Intell. Transp. Syst. Xiujuan Xu, Wei Wang, Yu Liu, Xiaowei Zhao, Zhenzhen Xu, Hongmei Zhou
2016	J	`jnl`	A graphical article-level metric for intuitive comparison of large-scale literatures. Scientometrics Xiaoxi Ling, Yu Liu, Zhen Huang, Parantu K. Shah, Cheng Li
2016	C	`conf`	Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar's Publications. ADMA Yu Liu, Dan Lin, Jing Li, Shimin Shan
2015	J	`jnl`	A fast method based on multiple clustering for name disambiguation in bibliographic citations. J. Assoc. Inf. Sci. Technol. Yu Liu, Weijia Li, Zhen Huang, Qiang Fang
2015	—	`conf`	Science Navigation Map: an Interactive Data Mining Tool for Literature Analysis. WWW (Companion Volume) Yu Liu, Zhen Huang, Yizhou Yan, Yufeng Chen
2015	J	`jnl`	Taxi-RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data. IEEE Trans. Intell. Transp. Syst. Xiujuan Xu, Jian Yu Zhou, Yu Liu, Zhenzhen Xu, Xiaowei Zhao
2014	—	`conf`	An article level metric in the context of research community. WWW (Companion Volume) Yu Liu, Zhen Huang, Jing Fang, Yizhou Yan
2014	J	`jnl`	Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance. J. Informetrics Yu Liu, Yongliang Yang
2014	C	`conf`	iDBMM: A Novel Algorithm to Model Dynamic Behavior in Large Evolving Graphs. DASC Xiujuan Xu, Wei Wang, Yu Liu, Hong Yu, Xiaowei Zhao
2013	J	`jnl`	Comprehensive geometrical interpretation of h-type indices. Scientometrics Yu Liu, Wei Zuo, Ying Gao, Yanhong Qiao
2013	—	`conf`	Design and Implementation of Chinese Spam Review Detection System. CLSW Xiujuan Xu, Tianqi Han, Zhenlong Xu, Yu Wang, Yu Liu
2013	J	`jnl`	FIPSDock: A new molecular docking technique driven by fully informed swarm optimization algorithm. J. Comput. Chem. Yu Liu, Lei Zhao, Wentao Li, Dongyu Zhao, Miao Song, Yongliang Yang
2013	J	`jnl`	Swarm intelligence for molecular docking. Int. J. Model. Identif. Control. Yu Liu, Lei Zhao, Mingli Li, Changfei Zhao
2012	J	`jnl`	A New Multimodal Particle Swarm Optimization Algorithm Based on Greedy Algorithm. Int. J. Comput. Intell. Appl. Yu Liu, Mingwei Lv, Wei Zuo
2011	J	`jnl`	A Survey on Particle Swarm Optimization Algorithms for Multimodal Function Optimization. J. Softw. Yu Liu, Xiaoxi Ling, Zhewen Shi, Mingwei Lv, Jing Fang, Liang Zhang
2010	—	`conf`	An Automatic Niching Particle Swarm for Multimodal Function Optimization. ICSI (1) Yu Liu, Zhaofa Yan, Wentao Li, Mingwei Lv, Yuan Yao
2010	—	`conf`	Service Science Knowledge System Bottom-up Constructed Closely with Service Industry. ICSS Yu Liu, Xiujuan Xu, Ruixin Ma
2009	—	`conf`	An Efficient Approach for Flexible Docking Base on Particle Swarm Optimization. BMEI Yu Liu, Wentao Li, Yongliang Wang, Mingwei Lv
2009	J	`jnl`	Catalog segmentation with double constraints in business. Pattern Recognit. Lett. Xiujuan Xu, Yu Liu, Zhe Wang, Chunguang Zhou, Yanchun Liang
2009	J	`jnl`	Corrigendum to "Catalog segmentation with double constraints in business" [Pattern Recognition Letters 30 (4) (2009) 440-448]. Pattern Recognit. Lett. Xiujuan Xu, Yu Liu, Zhe Wang, Chunguang Zhou, Yanchun Liang
2008	—	`conf`	An overview of content-based three-dimensional model retrieval methods. SoSE Ji Jia, Zheng Qin, Qingchun Zhang, Junying Chen, Yu Liu
2007	J	`jnl`	Center particle swarm optimization. Neurocomputing Yu Liu, Zheng Qin, Zhewen Shi, Jiang Lu
2005	—	`conf`	Evolving RBF Neural Networks for Pattern Classification. CIS (1) Zheng Qin, Junying Chen, Yu Liu, Jiang Lu
2005	—	`conf`	Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization. ISNN (1) Zheng Qin, Yu Liu, Xingchen Heng, Xianhui Wang
2004	C	`conf`	Feature Selection with Particle Swarms. CIS Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He
2004	—	`conf`	Hybrid particle swarm optimizer with line search. SMC (4) Yu Liu, Zheng Qin, Zhewen Shi
2004	—	`conf`	Rule Discovery with Particle Swarm Optimization. AWCC Yu Liu, Zheng Qin, Zhewen Shi, Junying Chen
2004	B	`conf`	Supervisor-student model in particle swarm optimization. IEEE Congress on Evolutionary Computation Yu Liu, Zheng Qin, Xingshi He
2004	—	`conf`	Training Radial Basis Function Networks with Particle Swarms. ISNN (1) Yu Liu, Zheng Qin, Zhewen Shi, Junying Chen