Yingxue Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 82

Top Topics

Incremental Learning

Video Quality Assessment

Quality Assessment

Top Venues

Publications

Maoxiang Jiang, Zhanjun Si, Ke Yang, Yingxue Zhang
Improved YOLOv8-Based Lightweight Object Detection on Drone Images. ICIC (7) (2024)
Jinyu Shi, Zhanjun Si, Yingxue Zhang, Xinbin Yang
Image Super-Resolution Reconstruction Based on Dual-Branch Channel Attention. ICIC (7) (2024)
Zike Yang, Yingxue Zhang, Zhanjun Si
Conformer Based No-Reference Quality Assessment for UGC Video. ICIC (6) (2024)
Jinyu Shi, Zhiqiang Zhou, Yingxue Zhang, Zhanjun Si
Application of VR Technology in Virtual Exhibition System. ICIC (10) (2024)
Xiaoying Ma, Yuya Peng, Yingxue Zhang, Zhanjun Si
Large Language Model Based Intelligent Interaction for Digital Human. ICIC (LNAI 6) (2024)
Shuting Niu, Yingxue Zhang, Zhanjun Si
Full-Range Fusion Network with Local-Global Attention for Change Detection in Remote Sensing Images. ICIC (7) (2024)
Huiying Shi, Yaosi Hu, Yingxue Zhang, Zhenzhong Chen
A Lightweight No-reference Video Quality Assessment Method. VCIP (2023)
Tong Wang, Songming Liu, Liwei Chen, Min Ouyang, Shan Gao, Yingxue Zhang
Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions. ChineseCSCW (2) (2023)
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
Spectral Augmentations for Graph Contrastive Learning. CoRR (2023)
Zhen Yang, Yingxue Zhang, Fandong Meng, Jie Zhou
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models. CoRR (2023)
Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao
Dual-Process Graph Neural Network for Diversified Recommendation. CIKM (2023)
Hongjian Gu, Yaochen Hu, Yingxue Zhang
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems. CoRR (2023)
Mehrtash Mehrabi, Yingxue Zhang
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation. CoRR (2022)
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM (2022)
Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang
Invariant Factor Graph Neural Networks. ICDM (2022)
Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
Node copying: A random graph model for effective graph sampling. Signal Process. 192 (2022)
Yingxue Zhang, Guisheng Fan, Huiqun Yu, Xingpeng Chen
Efficiency-First Fault-Tolerant Replica Scheduling Strategy for Reliability Constrained Cloud Application. NPC (2021)
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR (2021)
Zhen Yang, Yingxue Zhang, Ernan Li, Fandong Meng, Jie Zhou
WeTS: A Benchmark for Translation Suggestion. CoRR (2021)
Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, Fenglin Li
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks. CoRR (2021)
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR (2021)
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition. NAACL-HLT (2021)
Yingxue Zhang, Zizheng Liu, Zhenzhong Chen, Xiaozhong Xu, Shan Liu
No-reference Quality Assessment of Panoramic Video based on Spherical-domain Features. PCS (2021)
Yunhe Li, Yaochen Hu, Yingxue Zhang
Graph Representation Learning via Adversarial Variational Bayes. CIKM (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI (2021)
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. CoRR (2021)
Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR (2021)
Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML (2021)
Yingxue Zhang, Zhe Li
Automatic Synthesis Technology of Music Teaching Melodies Based on Recurrent Neural Network. Sci. Program. 2021 (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR (2021)
Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo
-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. ICDM (2021)
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
Dual Graph enhanced Embedding Neural Network for CTR Prediction. KDD (2021)
Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He
Content Filtering Enriched GNN Framework for News Recommendation. CoRR (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR (2021)
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR (2021)
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR (2021)
Yingying Xue, Jiahui Jin, Aibo Song, Yingxue Zhang, Yangyang Liu, Kaixuan Wang
Relation-based multi-type aware knowledge graph embedding. Neurocomputing 456 (2021)
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
Dual Graph enhanced Embedding Neural Network for CTR Prediction. CoRR (2021)
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection. Neurocomputing 449 (2021)
Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. CIKM (2021)
Yuening Wang, Yingxue Zhang, Mark Coates
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. CIKM (2021)
Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS (2021)
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD (2021)
Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD (2020)
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. ICDM (2020)
Yaosi Hu, Yingxue Zhang, Zizheng Liu, Zhenzhong Chen, Shan Liu
Subjective Study of Perceptual Quality for Micro-Video Applications. MIPR (2020)
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI (2020)
Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR (2020)
Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. SIGSPATIAL/GIS (2020)
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. KDD (2020)
Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. CoRR (2020)
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI (2020)
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-Graph Convolution Collaborative Filtering. CoRR (2020)
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection. CoRR (2020)
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD (2020)
Yingxue Zhang, Zizheng Liu, Wei Wu, Ruigang Yao, Zhenzhong Chen, Shan Liu
A Subjective Quality Assessment Database for Mobile Video Coding. MIPR (2020)
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR (2020)
Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. ICML (2020)
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM (2020)
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR (2020)
Zhenzhong Chen, Ye Hu, Yingxue Zhang
Effects of Compression on Remote Sensing Image Classification Based on Fractal Analysis. IEEE Trans. Geosci. Remote. Sens. 57 (7) (2019)
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. AAAI (2019)
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. ICDM (2019)
Yingxue Zhang, Ping Jian, Ruiying Geng, Yuansheng Song, Fandong Meng
Ranking Like Human: Global-View Matching via Reinforcement Learning for Answer Selection. IALP (2019)
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR (2019)
Sihan Wang, Yingxue Zhang, Daiqin Yang, Zhenzhong Chen
SSIM Prediction for H.265/HEVC based on Convolutional Neural Networks. VCIP (2019)
Yingxue Zhang, Ping Jian, Fandong Meng, Ruiying Geng, Wei Cheng, Jie Zhou
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification. CoRR (2019)
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-graph Convolution Collaborative Filtering. ICDM (2019)
Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. CIKM (2018)
Yingxue Zhang, Yingbin Wang, Feiyang Liu, Zizheng Liu, Yiming Li, Daiqin Yang, Zhenzhong Chen
Subjective Panoramic Video Quality Assessment Database for Coding Applications. IEEE Trans. Broadcast. 64 (2) (2018)
Yingxue Zhang, Michael G. Rabbat
A Graph-CNN for 3D Point Cloud Classification. ICASSP (2018)
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
Bayesian graph convolutional neural networks for semi-supervised classification. CoRR (2018)
Zhenzhong Chen, Yingxue Zhang
Towards Subjective Quality Assessment for Panoramic Video. HVEI (2018)
Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. CoRR (2018)
Yingxue Zhang, Michael G. Rabbat
A Graph-CNN for 3D Point Cloud Classification. CoRR (2018)
Zhenzhong Chen, Yiming Li, Yingxue Zhang
Recent advances in omnidirectional video coding for virtual reality: Projection and evaluation. Signal Process. 146 (2018)
Sijia Chen, Yingxue Zhang, Yiming Li, Zhenzhong Chen, Zhou Wang
Spherical Structural Similarity Index for Objective Omnidirectional Video Quality Assessment. ICME (2018)
Jing Ling, Kao Zhang, Yingxue Zhang, Daiqin Yang, Zhenzhong Chen
A saliency prediction model on 360 degree images using color dictionary based sparse representation. Signal Process. Image Commun. 69 (2018)
Yuqiao Deng, Yingxue Zhang, Daiqin Yang, Zhenzhong Chen
Towards Foveated Just Noticeable Difference Modeling for Virtual Reality. IQSP (2017)
Ruiying Geng, Ping Jian, Yingxue Zhang, Heyan Huang
Implicit discourse relation identification based on tree structure neural network. IALP (2017)
Aoqi Li, Yingxue Zhang, Zhenzhong Chen
Scanpath mining of eye movement trajectories for visual attention analysis. ICME (2017)
Yingxue Zhang, Zhenzhong Chen
Revisiting visual attention identification based on eye tracking data analytics. VCIP (2016)
Yingxue Zhang, Siqi Liu, Lu Tao, Chun Yu, Yuanchun Shi, Yingqing Xu
ChinAR: Facilitating Chinese Guqin Learning through Interactive Projected Augmentation. CCHI (2015)