Yu Liu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Graph Embedding

Sentiment Analysis

Image Segmentation

Artificial Intelligence

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Jizhe Yu, Yu Liu, Hongkui Wei, Kaiping Xu
Towards More Accurate Tiny Object Tracking: Benchmark and Algorithm. CSCWD (2024)
Xiaowei Zhao, Yong Zhou, Xiujuan Xu, Yu Liu
Extensible Multi-Granularity Fusion Network for Aspect-based Sentiment Analysis. CoRR (2024)
Xin Zhang, Yu Liu, Zhehuan Zhao
Semantics Driven Multi-View Knowledge Graph Embedding for Cross-Lingual Entity Alignment. ICASSP (2024)
Xiujuan Xu, Xiaoxiao Shi, Zhehuan Zhao, Yu Liu
ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes. LREC/COLING (2024)
Jizhe Yu, Yu Liu, Hongkui Wei, Kaiping Xu, Yifei Cao, Jiangquan Li
Towards Highly Effective Moving Tiny Ball Tracking via Vision Transformer. ICIC (3) (2024)
Jiangquan Li, Shimin Shan, Yu Liu, Kaiping Xu, Xiwen Hu, Mingcheng Xue
AIUnet: Asymptotic inference with U2-Net for referring image segmentation. ICMI (2023)
Xin Zhang, Yu Liu, Zhehuan Zhao
Dual Relation-Aware Entity Alignment for Knowledge Graph. IJCNN (2023)
Xiujuan Xu, Yulin Bai, Yu Liu, Xiaowei Zhao, Yuzhi Sun
MM-UrbanFAC: Urban Functional Area Classification Model Based on Multimodal Machine Learning. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Kai Wang, Yu Liu, Quan Z. Sheng
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. WWW (2022)
Mingcheng Xue, Yu Liu, Kaiping Xu, Haiyang Zhang, Chengyang Yu
Structured Multimodal Fusion Network for Referring Image Segmentation. ICMI (2022)
Xianjie Zhang, Yu Liu, Hangyu Mao, Chao Yu
Common belief multi-agent reinforcement learning based on variational recurrent models. Neurocomputing 513 (2022)
Kaixin Wang, Xiujuan Xu, Yu Liu, Zhehuan Zhao
A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification. CCIR (2021)
Anqi Ma, Yu Liu, Xiujuan Xu, Tao Dong
A deep-learning based citation count prediction model with paper metadata semantic features. Scientometrics 126 (8) (2021)
Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings. WWW (2021)
Tao Dong, Shimin Shan, Yu Liu, Yue Qian, Anqi Ma
A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation. ICONIP (5) (2021)
Xianjie Zhang, Yu Liu, Xiujuan Xu, Qiong Huang, Hangyu Mao, Anil Carie
Structural relational inference actor-critic for multi-agent reinforcement learning. Neurocomputing 459 (2021)
Kai Wang, Yu Liu, Quan Z. Sheng
High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings. CoRR (2021)
Zhehuan Zhao, Yuying Zou, Yang Tian, Bo Xu, Zhihao Yang, Jian Wang, Hongfei Lin, Shimin Shan, Yu Liu
TL-BERT: A Novel Biomedical Relation Extraction Approach. BIBM (2021)
Xiujuan Xu, Yuzhi Sun, Yulin Bai, Kai Zhang, Yu Liu, Xiaowei Zhao
Seq2Img-DRNET: A travel time index prediction algorithm for complex road network at regional level. Expert Syst. Appl. 185 (2021)
Yue Qian, Yu Liu, Quan Z. Sheng
Understanding hierarchical structural evolution in a scientific discipline: A case study of artificial intelligence. J. Informetrics 14 (3) (2020)
Xinyu Li, Yu Liu, Kaiping Xu, Zhehuan Zhao, Sipei Liu
A Context-Based Network For Referring Image Segmentation. ICIP (2020)
Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng
Multi-teacher Knowledge Distillation for Knowledge Graph Completion. CoRR (2020)
Yue Qian, Yu Liu, Xiujuan Xu, Quan Z. Sheng
Leveraging citation influences for Modeling scientific documents. World Wide Web 23 (4) (2020)
Kai Wang, Yu Liu, Xiujuan Xu, Quan Z. Sheng
Enhancing knowledge graph embedding by composite neighbors for link prediction. Computing 102 (12) (2020)
Yiqiang Feng, Shimin Shan, Yu Liu, Zhehuan Zhao, Kaiping Xu
DRGCN: Deep Relation GCN for Group Activity Recognition. ICONIP (4) (2020)
Leiming Ren, Shimin Shan, Xiujuan Xu, Yu Liu
StarIn: An Approach to Predict the Popularity of GitHub Repository. ICPCSEE (2) (2020)
Xiujuan Xu, Lu Xu, Yulin Bai, Zhenzhen Xu, Xiaowei Zhao, Yu Liu
MCA-TFP Model: A Short-Term Traffic Flow Prediction Model Based on Multi-characteristic Analysis. ICPCSEE (2) (2020)
Jun Ni, Yu Liu, Kai Wang, Zhehuan Zhao, Quan Z. Sheng
Distantly Supervised Relation Extraction through a Trade-off Mechanism. IJCNN (2019)
Xiujuan Xu, Yu Liu, Wei Wang, Xiaowei Zhao, Quan Z. Sheng, Zhe Wang, Bowen Shi
ITS-Frame: A Framework for Multi-Aspect Analysis in the Field of Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 20 (8) (2019)
Xiujuan Xu, Tingting Jiang, Shimin Shan, Jun Ni, Kai Wang, Zhenlong Xu, Yu Liu
Offering Artificial Intelligence Development Situation Analysis Service for Users. ICSOC Workshops (2018)
Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia
Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. BIBM (2018)
Naigao Jin, Xin Zhou, Chi Lin, Lei Wang, Yu Liu, Mathew L. Wymore, Daji Qiao
ThunderLoc: Smartphone-Based Crowdsensing for Thunder Localization. SECON (2018)
Naigao Jin, Xin Zhou, Zihan Wang, Yu Liu, Lei Wang
Robust Sequence-Based Localization in Acoustic Sensor Networks. ICASSP (2018)
Kai Wang, Yu Liu, Xiujuan Xu, Dan Lin
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network. CoRR (2018)
Yu Liu, Dan Lin, Xiujuan Xu, Shimin Shan, Quan Z. Sheng
Multi-views on Nature Index of Chinese academic institutions. Scientometrics 114 (3) (2018)
Xiujuan Xu, Xiaowei Zhao, Fei Xiong, Shimin Shan, Yu Liu
Content-based emotion classification in online social networks for Chinese Microblogs. ACSW (2017)
Xiujuan Xu, Yu Liu, Ruixin Ma, Quan Z. Sheng
Collaboration Patterns at Scheduling in 10 Years. CDVE (2017)
Yu Liu, Dan Lin, Jing Li, Shimin Shan
Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar's Publications. ADMA (2016)
Xiaoxi Ling, Yu Liu, Zhen Huang, Parantu K. Shah, Cheng Li
A graphical article-level metric for intuitive comparison of large-scale literatures. Scientometrics 106 (1) (2016)
Xiujuan Xu, Wei Wang, Yu Liu, Xiaowei Zhao, Zhenzhen Xu, Hongmei Zhou
A Bibliographic Analysis and Collaboration Patterns of IEEE Transactions on Intelligent Transportation Systems Between 2000 and 2015. IEEE Trans. Intell. Transp. Syst. 17 (8) (2016)
Yu Liu, Weijia Li, Zhen Huang, Qiang Fang
A fast method based on multiple clustering for name disambiguation in bibliographic citations. J. Assoc. Inf. Sci. Technol. 66 (3) (2015)
Yu Liu, Zhen Huang, Yizhou Yan, Yufeng Chen
Science Navigation Map: an Interactive Data Mining Tool for Literature Analysis. WWW (Companion Volume) (2015)
Xiujuan Xu, Jian Yu Zhou, Yu Liu, Zhenzhen Xu, Xiao Wei Zha
Taxi-RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data. IEEE Trans. Intell. Transp. Syst. 16 (4) (2015)
Yu Liu, Zhen Huang, Jing Fang, Yizhou Yan
An article level metric in the context of research community. WWW (Companion Volume) (2014)
Yu Liu, Yongliang Yang
Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance. J. Informetrics 8 (3) (2014)
Xiujuan Xu, Wei Wang, Yu Liu, Hong Yu, Xiaowei Zhao
iDBMM: A Novel Algorithm to Model Dynamic Behavior in Large Evolving Graphs. DASC (2014)
Yu Liu, Wei Zuo, Ying Gao, Yanhong Qiao
Comprehensive geometrical interpretation of h-type indices. Scientometrics 96 (2) (2013)
Xiujuan Xu, Tianqi Han, Zhenlong Xu, Yu Wang, Yu Liu
Design and Implementation of Chinese Spam Review Detection System. CLSW (2013)
Yu Liu, Lei Zhao, Wentao Li, Dongyu Zhao, Miao Song, Yongliang Yang
FIPSDock: A new molecular docking technique driven by fully informed swarm optimization algorithm. J. Comput. Chem. 34 (1) (2013)
Yu Liu, Lei Zhao, Mingli Li, Changfei Zhao
Swarm intelligence for molecular docking. Int. J. Model. Identif. Control. 18 (4) (2013)
Yu Liu, Mingwei Lv, Wei Zuo
A New Multimodal Particle Swarm Optimization Algorithm Based on Greedy Algorithm. Int. J. Comput. Intell. Appl. 11 (3) (2012)
Yu Liu, Xiaoxi Ling, Zhewen Shi, Mingwei Lv, Jing Fang, Liang Zhang
A Survey on Particle Swarm Optimization Algorithms for Multimodal Function Optimization. J. Softw. 6 (12) (2011)
Yu Liu, Xiujuan Xu, Ruixin Ma
Service Science Knowledge System Bottom-up Constructed Closely with Service Industry. ICSS (2010)
Yu Liu, Zhaofa Yan, Wentao Li, Mingwei Lv, Yuan Yao
An Automatic Niching Particle Swarm for Multimodal Function Optimization. ICSI (1) (2010)
Xiujuan Xu, Yu Liu, Zhe Wang, Chunguang Zhou, Yanchun Liang
Catalog segmentation with double constraints in business. Pattern Recognit. Lett. 30 (4) (2009)
Xiujuan Xu, Yu Liu, Zhe Wang, Chunguang Zhou, Yanchun Liang
Corrigendum to "Catalog segmentation with double constraints in business" [Pattern Recognition Letters 30 (4) (2009) 440-448]. Pattern Recognit. Lett. 30 (15) (2009)
Yu Liu, Wentao Li, Yongliang Wang, Mingwei Lv
An Efficient Approach for Flexible Docking Base on Particle Swarm Optimization. BMEI (2009)
Ji Jia, Zheng Qin, Qingchun Zhang, Junying Chen, Yu Liu
An overview of content-based three-dimensional model retrieval methods. SoSE (2008)
Yu Liu, Zheng Qin, Zhewen Shi, Jiang Lu
Center particle swarm optimization. Neurocomputing 70 (4-6) (2007)
Zheng Qin, Junying Chen, Yu Liu, Jiang Lu
Evolving RBF Neural Networks for Pattern Classification. CIS (1) (2005)
Zheng Qin, Yu Liu, Xingchen Heng, Xianhui Wang
Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization. ISNN (1) (2005)
Yu Liu, Zheng Qin, Xingshi He
Supervisor-student model in particle swarm optimization. IEEE Congress on Evolutionary Computation (2004)
Yu Liu, Zheng Qin, Zhewen Shi, Junying Chen
Rule Discovery with Particle Swarm Optimization. AWCC (2004)
Yu Liu, Zheng Qin, Zhewen Shi, Junying Chen
Training Radial Basis Function Networks with Particle Swarms. ISNN (1) (2004)
Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He
Feature Selection with Particle Swarms. CIS (2004)
Yu Liu, Zheng Qin, Zhewen Shi
Hybrid particle swarm optimizer with line search. SMC (4) (2004)