All Stories

  1. MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability

    Article • August 2026, ACM (Association for Computing Machinery)

    Fei Wang

  2. Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation

    Article • August 2026, ACM (Association for Computing Machinery)

    Fei Wang

  3. ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

    Article • August 2026, ACM (Association for Computing Machinery)

    Canyu Chen, Fei Wang, Baixiang Huang, Zhongwei Wan

  4. Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection

    Article • April 2026, ACM (Association for Computing Machinery)

    Fei Wang, Yunhai Wang

  5. Rethink Deep Learning with Invariance in Data Representation

    Article • May 2025, ACM (Association for Computing Machinery)

    Fei Wang

  6. Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare

    Article • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, November 2024, ACM (Association for Computing Machinery)

    Xuhai Xu, Fei Wang

  7. Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare

    Article • August 2024, ACM (Association for Computing Machinery)

    Fei Wang

  8. Marginal Nodes Matter: Towards Structure Fairness in Graphs

    Article • ACM SIGKDD Explorations Newsletter, March 2024, ACM (Association for Computing Machinery)

    Fei Wang

  9. Can Data Augmentation Improve Daily Mood Prediction from Wearable Data? An Empirical Study

    Article • October 2023, ACM (Association for Computing Machinery)

    Fei Wang

  10. Meta Graph Learning for Long-tail Recommendation

    Article • August 2023, ACM (Association for Computing Machinery)

    Fei Wang

  11. Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data

    Article • ACM Transactions on Information Systems, April 2023, ACM (Association for Computing Machinery)

    Fei Wang

  12. Harnessing Biomedical Literature to Calibrate Clinicians’ Trust in AI Decision Support Systems

    Article • April 2023, ACM (Association for Computing Machinery)

    Fei Wang

  13. Data heterogeneity in healthcare machine learning models

    Article • PLOS Digital Health, March 2023, PLOS

    Fei Wang, Suraj Rajendran

  14. Workshop on Applied Data Science for Healthcare (DSHealth)

    Article • August 2022, ACM (Association for Computing Machinery)

    Tao Xu, Fei Wang

  15. Collaboration Equilibrium in Federated Learning

    Article • August 2022, ACM (Association for Computing Machinery)

    Fei Wang

  16. Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction

    Article • August 2022, ACM (Association for Computing Machinery)

    Tingyi Wanyan, Faris Gulamali, Fei Wang

  17. GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction

    Article • April 2022, ACM (Association for Computing Machinery)

    Fei Wang

  18. Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility

    Article • August 2021, ACM (Association for Computing Machinery)

    Fei Wang

  19. Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition

    Article • August 2021, ACM (Association for Computing Machinery)

    Fei Wang

  20. Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning

    Article • August 2021, ACM (Association for Computing Machinery)

    Fei Wang

  21. Artificial Intelligence for Drug Discovery

    Article • August 2021, ACM (Association for Computing Machinery)

    Fei Wang

  22. S-LIME

    Article • August 2021, ACM (Association for Computing Machinery)

    Zhengze Zhou, Fei Wang

  23. Why Attentions May Not Be Interpretable?

    Article • August 2021, ACM (Association for Computing Machinery)

    Fei Wang

  24. Adversarial Infidelity Learning for Model Interpretation

    Article • August 2020, ACM (Association for Computing Machinery)

    Fei Wang

  25. MoFlow: An Invertible Flow Model for Generating Molecular Graphs

    Article • August 2020, ACM (Association for Computing Machinery)

    Fei Wang

  26. Neural Dynamics on Complex Networks

    Article • August 2020, ACM (Association for Computing Machinery)

    Fei Wang

  27. General-Purpose User Embeddings based on Mobile App Usage

    Article • August 2020, ACM (Association for Computing Machinery)

    Fei Wang

  28. Recent Advances on Graph Analytics and Its Applications in Healthcare

    Article • August 2020, ACM (Association for Computing Machinery)

    Fei Wang

  29. GRAPHENE

    Article • November 2019, ACM (Association for Computing Machinery)

    Fei Wang

  30. Uncovering Pattern Formation of Information Flow

    Article • July 2019, ACM (Association for Computing Machinery)

    Fei Wang

  31. Dynamical Origins of Distribution Functions

    Article • July 2019, ACM (Association for Computing Machinery)

    Fei Wang

  32. MetaPred

    Article • July 2019, ACM (Association for Computing Machinery)

    Fei Wang

  33. Learning From Networks

    Article • July 2019, ACM (Association for Computing Machinery)

    Huan LIu, Fei Wang

  34. Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

    Article • July 2018, ACM (Association for Computing Machinery)

    Fei Wang

  35. Crowdsourcing for Mobile Networks and IoT

    Article • Wireless Communications and Mobile Computing, June 2018, Hindawi Publishing Corporation

    Fei Wang

  36. Patient Subtyping via Time-Aware LSTM Networks

    Article • August 2017, ACM (Association for Computing Machinery)

    Fei Wang

  37. Healthcare Data Mining with Matrix Models

    Article • August 2016, ACM (Association for Computing Machinery)

    Fei Wang