Dingshuo Chen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Multivariate Time Series

Anomaly Detection

Conditional Independence

Visual Representation

Top Venues

IEEE Internet Things J.

J. Chem. Inf. Model.

Publications

Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. 64 (4) (2024)
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. CoRR (2023)
Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. NeurIPS (2023)
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS (2023)
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR (2023)
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR (2022)
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
Improving Molecular Pretraining with Complementary Featurizations. CoRR (2022)
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM (2022)
Zekai Chen, Dingshuo Chen, Xiao Zhang, Zixuan Yuan, Xiuzhen Cheng
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT. IEEE Internet Things J. 9 (12) (2022)
Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT. CoRR (2021)