Daheng Wang

According to our database, Daheng Wang authored at least 17 papers between 2018 and 2023.

Collaborative distances:

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

2023

Deep Multimodal Complementarity Learning.

Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Research on Spaceborne Target Detection Based on Yolov5 and Image Compression.

Qi Shi, Daheng Wang, Wen Chen, Jinpei Yu, Weiting Zhou, Jun Zou, Guangzu Liu

Future Internet, March, 2023

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.

Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

IEEE Trans. Knowl. Data Eng., 2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.

Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang

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

2022

Learning from Counterfactual Links for Link Prediction.

Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang

Proceedings of the International Conference on Machine Learning, 2022

2021

Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.

Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang

ACM Trans. Intell. Syst. Technol., 2021

Unified Representation of Twitter and Online News Using Graph and Entities.

Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla

Frontiers Big Data, 2021

Counterfactual Graph Learning for Link Prediction.

Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang

CoRR, 2021

TCN: Table Convolutional Network for Web Table Interpretation.

Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang

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

Dynamic Attributed Graph Prediction with Conditional Normalizing Flows.

Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.

Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

CoRR, 2020

Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors.

Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla

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

Error-Bounded Graph Anomaly Loss for GNNs.

Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings.

Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

TUBE: Embedding Behavior Outcomes for Predicting Success.

Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding.

Yifan Ding, Daheng Wang, Tim Weninger, Meng Jiang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Multi-Type Itemset Embedding for Learning Behavior Success.

Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018