Multi-Type Itemset Embedding for Learning Behavior Success. - Daheng Wang; Meng Jiang 001; Qingkai Zeng 001; Zachary Eberhart; Nitesh V. Chawla (KDD, 2018)

Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding. - Yifan Ding; Daheng Wang; Tim Weninger; Meng Jiang 001 (IEEE BigData, 2019)

TUBE: Embedding Behavior Outcomes for Predicting Success. - Daheng Wang; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (KDD, 2019)

Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings. - Munira Syed; Daheng Wang; Meng Jiang 001; Oliver Conway; Vishal Juneja; Sriram Subramanian; Nitesh V. Chawla (ASONAM, 2020)

Error-Bounded Graph Anomaly Loss for GNNs. - Tong Zhao 003; Chuchen Deng; Kaifeng Yu; Tianwen Jiang; Daheng Wang; Meng Jiang 001 (CIKM, 2020)

Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. - Daheng Wang; Meng Jiang 001; Munira Syed; Oliver Conway; Vishal Juneja; Sriram Subramanian; Nitesh V. Chawla (KDD, 2020)

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2020)

Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. - Daheng Wang; Tong Zhao 003; Nitesh V. Chawla; Meng Jiang 001 (ICDM, 2021)

TCN: Table Convolutional Network for Web Table Interpretation. - Daheng Wang; Prashant Shiralkar; Colin Lockard; Binxuan Huang; Xin Luna Dong; Meng Jiang 001 (WWW, 2021)

Counterfactual Graph Learning for Link Prediction. - Tong Zhao 003; Gang Liu 025; Daheng Wang; Wenhao Yu 002; Meng Jiang 001 (CoRR, 2021)

Unified Representation of Twitter and Online News Using Graph and Entities. - Munira Syed; Daheng Wang; Meng Jiang 001; Oliver Conway; Vishal Juneja; Sriram Subramanian; Nitesh V. Chawla (Frontiers Big Data, 2021)

Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding. - Daheng Wang; Qingkai Zeng 001; Nitesh V. Chawla; Meng Jiang 001 (ACM Trans. Intell. Syst. Technol., 2021)

Learning from Counterfactual Links for Link Prediction. - Tong Zhao 003; Gang Liu 025; Daheng Wang; Wenhao Yu 002; Meng Jiang 001 (ICML, 2022)

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. - Zijie Huang 002; Daheng Wang; Binxuan Huang; Chenwei Zhang; Jingbo Shang; Yan Liang 004; Zhengyang Wang; Xian Li; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (ACL (Findings), 2023)

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Research on Spaceborne Target Detection Based on Yolov5 and Image Compression. - Qi Shi; Daheng Wang; Wen Chen; Jinpei Yu; Weiting Zhou; Jun Zou 001; Guangzu Liu (Future Internet, 2023)

Deep Multimodal Complementarity Learning. - Daheng Wang; Tong Zhao 003; Wenhao Yu 002; Nitesh V. Chawla; Meng Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)