Daheng Wang

20 papers A* 6A 1B 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2023 — conf
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
ACL (Findings)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023 J jnl
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
CoRR
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023 J jnl
Deep Multimodal Complementarity Learning.
IEEE Trans. Neural Networks Learn. Syst.
Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang
2023 J jnl
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.
IEEE Trans. Knowl. Data Eng.
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2023 J jnl
Research on Spaceborne Target Detection Based on Yolov5 and Image Compression.
Future Internet
Qi Shi, Daheng Wang, Wen Chen, Jinpei Yu, Weiting Zhou, Jun Zou, Guangzu Liu
2022 A* conf
Learning from Counterfactual Links for Link Prediction.
ICML
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
2021 J jnl
Counterfactual Graph Learning for Link Prediction.
CoRR
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
2021 A* conf
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows.
ICDM
Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang
2021 J jnl
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.
ACM Trans. Intell. Syst. Technol.
Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang
2021 A* conf
TCN: Table Convolutional Network for Web Table Interpretation.
WWW
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
2021 J jnl
TCN: Table Convolutional Network for Web Table Interpretation.
CoRR
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
2021 J jnl
Unified Representation of Twitter and Online News Using Graph and Entities.
Frontiers Big Data
Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
2020 A* conf
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors.
KDD
Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
2020 J jnl
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors.
CoRR
Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
2020 A conf
Error-Bounded Graph Anomaly Loss for GNNs.
CIKM
Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
2020 J jnl
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.
CoRR
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2020 B conf
Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings.
ASONAM
Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
2019 — conf
Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding.
IEEE BigData
Yifan Ding, Daheng Wang, Tim Weninger, Meng Jiang
2019 A* conf
TUBE: Embedding Behavior Outcomes for Predicting Success.
KDD
Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2018 A* conf
Multi-Type Itemset Embedding for Learning Behavior Success.
KDD
Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla