Yingxue Zhang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 50

Top Topics

Graph Representations

Implicit Feedback

Top Venues

Publications

Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. Trans. Mach. Learn. Res. 2024 (2024)
Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network. CoRR (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR (2024)
Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates
DyG2Vec: Efficient Representation Learning for Dynamic Graphs. Trans. Mach. Learn. Res. 2024 (2024)
Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. CoRR (2024)
Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates
Personalized Negative Reservoir for Incremental Learning in Recommender Systems. CoRR (2024)
Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI (2024)
Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. CoRR (2024)
Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network. KDD (2024)
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS (2024)
Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
CKGConv: General Graph Convolution with Continuous Kernels. CoRR (2024)
Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. ACL (1) (2024)
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamically Expandable Graph Convolution for Streaming Recommendation. CoRR (2023)
Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
Bidirectional Learning for Offline Model-based Biological Sequence Design. CoRR (2023)
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR (2023)
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE (2023)
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CoRR (2023)
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. CoRR (2023)
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. CoRR (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. IJCAI (2023)
Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu
Towards Automated Negative Sampling in Implicit Recommendation. CoRR (2023)
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
Spectral Augmentations for Graph Contrastive Learning. AISTATS (2023)
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CIKM (2023)
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. CoRR (2023)
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW (2023)
Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
Hierarchical Projection Enhanced Multi-behavior Recommendation. KDD (2023)
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamically Expandable Graph Convolution for Streaming Recommendation. WWW (2023)
Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
Bidirectional Learning for Offline Model-based Biological Sequence Design. ICML (2023)
Can Chen, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates
Bidirectional Learning for Offline Infinite-width Model-based Optimization. CoRR (2022)
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM (2022)
Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates
Bidirectional Learning for Offline Infinite-width Model-based Optimization. NeurIPS (2022)
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR (2022)
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD (2022)
Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao
Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS (2022)
Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. KDD (2022)
Ishaan Kumar, Yaochen Hu, Yingxue Zhang
EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems. SIGIR (2022)
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM (2022)
Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
Node Copying: A Random Graph Model for Effective Graph Sampling. CoRR (2022)
Yunhe Li, Yaochen Hu, Yingxue Zhang
Dual Path Graph Convolutional Networks. ICASSP (2022)
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR (2022)
Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang
Polarized Graph Neural Networks. WWW (2022)
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR (2022)
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR (2022)
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR (2022)
Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates
DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision. CoRR (2022)