Yiwei Wang

According to our database, Yiwei Wang authored at least 31 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting.

Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann

IEEE Trans. Knowl. Data Eng., September, 2023

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference.

Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Causal View of Entity Bias in (Large) Language Models.

Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How Fragile is Relation Extraction under Entity Replacements?

Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022

LSCALE: Latent Space Clustering-Based Active Learning for Node Classification.

Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.

Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.

Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities.

Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Flashlight: Scalable Link Prediction With Effective Decoders.

Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah

Proceedings of the Learning on Graphs Conference, 2022

Time-Aware Neighbor Sampling on Temporal Graphs.

Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi

Proceedings of the International Joint Conference on Neural Networks, 2022

TrajFormer: Efficient Trajectory Classification with Transformers.

Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Time-Aware Neighbor Sampling for Temporal Graph Networks.

Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi

CoRR, 2021

Structure-Aware Label Smoothing for Graph Neural Networks.

Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi

CoRR, 2021

Mixup for Node and Graph Classification.

Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi

Proceedings of the WWW '21: The Web Conference 2021, 2021

CurGraph: Curriculum Learning for Graph Classification.

Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fine-Grained Urban Flow Prediction.

Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann

Proceedings of the WWW '21: The Web Conference 2021, 2021

GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs.

Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Adaptive Data Augmentation on Temporal Graphs.

Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

EIGNN: Efficient Infinite-Depth Graph Neural Networks.

Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modeling Trajectories with Neural Ordinary Differential Equations.

Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder^∗.

Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat-Thalmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.

Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao

CoRR, 2020

GraphCrop: Subgraph Cropping for Graph Classification.

Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi

CoRR, 2020

Progressive Supervision for Node Classification.

Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.

Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

NodeAug: Semi-Supervised Node Classification with Data Augmentation.

Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers.

Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Provably Robust Node Classification via Low-Pass Message Passing.

Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Progressive Joint Propagation for Human Motion Prediction.

Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat-Thalmann

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM.

Licheng Zhao, Yiwei Wang, Sandeep Kumar, Daniel P. Palomar

IEEE Trans. Signal Process., 2019

2017

Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter.

Yiwei Wang, Mark James Carman, Yuan-Fang Li

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017