Denghui Zhang

Denghui Zhang

Assistant Professor at Stevens Institute of Technology

Publications

Peer-reviewed conference and journal papers

Domains: Computational Management Science [CM], E-commerce Analysis [EM], FinTech [FT], Spatial AI [SA]
Methodologies: Graph Deep Learning [GL], Text Mining [TM], Reinforcement Learning [RL]

  • Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
    Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
    AAAI’24: Proceedings of the 38th AAAI Conference on Artificial Intelligence.

  • Graph Learning of Multifaceted Motivations for Online Political Engagement Prediction in Counter-party Social Networks
    Manting Hu, Qingyuan Lin, Denghui Zhang, Angela Lu, Junming Liu, Hui Xiong
    ICIS’23: 44th International Conference on Information Systems (Best Student Paper Award).

  • LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading
    Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
    IEEE TKDE: IEEE Transactions on Knowledge and Data Engineering.

  • Multi-Faceted Knowledge-Driven Pre-training for Product Representation Learning [EM] [TM]
    Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong
    IEEE TKDE: IEEE Transactions on Knowledge and Data Engineering.

  • AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy [FT] [RL]
    Zixuan Yuan*, Denghui Zhang*, Hao Zhong, Shengming Zhang, Xiong Hui
    INFORMS DS: INFORMS Workshop on Data Science 2022. (In preparation for Management Science.)

  • Acqui-hiring or Acqui-quitting: Data-driven Post-M&A Turnover Prediction via a Dual-fit GNN Model [PDF] [CM] [GL]
    Denghui Zhang, Hao Zhong, Jingyuan Yang
    CIST’22: INFORMS Conference On Information Systems And Technology, 2022. (Submitted to Information Systems Research.)

  • Towards Learning Disentangled Representations for Time Series [PDF]
    Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
    KDD’22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

  • Learning to Walk with Dual Agents Reinforcemen Learning for Knowledge Graph Reasoning [PDF, code] [RL]
    Denghui Zhang*, Zixuan Yuan*, Hao Liu, Xiaodong Lin, Hui Xiong
    AAAI’22: Proceedings of the 36th AAAI Conference on Artificial Intelligence. (15% acceptance rate)

  • Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment [PDF] [TM] [EM]
    Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
    KDD’21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (15.4% acceptance rate)

  • Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling [FT] [PDF, code]
    Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong
    AAAI’21: Proceedings of the 35th AAAI Conference on Artificial Intelligence.

  • T$^2$-Net: A Semi-supervised Deep Model for Turbulence Forecasting [PDF] [SA]
    Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
    ICDM’20: 2020 IEEE International Conference on Data Mining.

  • Spatio-Temporal Dual Graph Attention Network for Query-POI Matching [PDF] [SA]
    Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengju Zhu, Hui Xiong
    SIGIR’20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Pages 629–638

  • Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning [PDF] [CM] [GL]
    Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
    CIKM’19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp.2763-2771

  • Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach [PDF]
    Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng
    IEEE Transactions on Big Data, pp.1-14

  • Path-Based Attention Neural Model for Fine-Grained Entity Typing [PDF] [TM]
    Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng
    AAAI 2018: Proceedings of the 32nd AAAI Conference on Artificial Intelligence, pp.8179-8180 (abstract paper)

  • Efficient Parallel Translating Embedding For Knowledge Graphs [PDF, code]
    Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng
    WI 2017: Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence, pp.460-468

Working papers

  • Acqui-hiring or Acqui-quitting: Post-M&A Turnover Prediction via a Dual-fit GNN Model
    Denghui Zhang, Hao Zhong, Jingyuan Yang
    ISR: Submitted to Information Systems Research.

  • AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy
    Zixuan Yuan*, Denghui Zhang*, Hao Zhong, Shengming Zhang, Xiong Hui
    MNSC: In preparation for Manamgement Science.

Patents