Daheng Wang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Convolutional Network

Link Prediction

User Behavior Patterns

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Qi Shi, Daheng Wang, Wen Chen, Jinpei Yu, Weiting Zhou, Jun Zou, Guangzu Liu
Research on Spaceborne Target Detection Based on Yolov5 and Image Compression. Future Internet 15 (3) (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) (2023)
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR (2023)
Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang
Deep Multimodal Complementarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Learning from Counterfactual Links for Link Prediction. ICML (2022)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Counterfactual Graph Learning for Link Prediction. CoRR (2021)
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
TCN: Table Convolutional Network for Web Table Interpretation. WWW (2021)
Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding. ACM Trans. Intell. Syst. Technol. 12 (4) (2021)
Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. ICDM (2021)
Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Unified Representation of Twitter and Online News Using Graph and Entities. Frontiers Big Data 4 (2021)
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
TCN: Table Convolutional Network for Web Table Interpretation. CoRR (2021)
Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings. ASONAM (2020)
Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. CoRR (2020)
Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. KDD (2020)
Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
Error-Bounded Graph Anomaly Loss for GNNs. CIKM (2020)
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. CoRR (2020)
Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
TUBE: Embedding Behavior Outcomes for Predicting Success. KDD (2019)
Yifan Ding, Daheng Wang, Tim Weninger, Meng Jiang
Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding. IEEE BigData (2019)
Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla
Multi-Type Itemset Embedding for Learning Behavior Success. KDD (2018)