Yiwei Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Active Learning

Linguistically Motivated

Relation Extraction

Top Venues

Publications

Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR (2024)
Zhicheng Yang, Yinya Huang, Wei Shi, Liang Feng, Linqi Song, Yiwei Wang, Xiaodan Liang, Jing Tang
Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis. CoRR (2024)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
How Fragile is Relation Extraction under Entity Replacements? CoNLL (2023)
Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen
A Causal View of Entity Bias in (Large) Language Models. CoRR (2023)
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) (2022)
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR (2022)
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR (2022)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann
TrajFormer: Efficient Trajectory Classification with Transformers. CIKM (2022)
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN (2022)
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
. ICCV (2021)
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
Modeling Trajectories with Neural Ordinary Differential Equations. IJCAI (2021)
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi
Adaptive Data Augmentation on Temporal Graphs. NeurIPS (2021)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS (2021)
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
Mixup for Node and Graph Classification. WWW (2021)
Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi
Structure-Aware Label Smoothing for Graph Neural Networks. CoRR (2021)
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
CurGraph: Curriculum Learning for Graph Classification. WWW (2021)
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
Fine-Grained Urban Flow Prediction. WWW (2021)
Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
Provably Robust Node Classification via Low-Pass Message Passing. ICDM (2020)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. ECML/PKDD (1) (2020)
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi
NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD (2020)
Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi
Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. ISSRE (2020)
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
Progressive Supervision for Node Classification. ECML/PKDD (1) (2020)
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR (2020)
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
GraphCrop: Subgraph Cropping for Graph Classification. CoRR (2020)
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
Learning Progressive Joint Propagation for Human Motion Prediction. ECCV (7) (2020)
Licheng Zhao, Yiwei Wang, Sandeep Kumar, Daniel P. Palomar
Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM. IEEE Trans. Signal Process. 67 (16) (2019)
Yiwei Wang, Mark James Carman, Yuan-Fang Li
Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. CIKM (2017)