All Stories

  1. Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning

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

    Nitesh Chawla

  2. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation

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

    Yijun Tian, Nitesh Chawla

  3. Traversing the Journey of Data and AI: From Convergence to Translation

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

    Nitesh Chawla

  4. Graph Cross Supervised Learning via Generalized Knowledge

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

    Yijun Tian, Nitesh Chawla

  5. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery

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

    Mojan Javaheripi, Nitesh Chawla, Huan LIu

  6. loss function that aim at a evaluation metric

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

    Nitesh Chawla, Doheon Han

  7. Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns

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

    Nitesh Chawla, Zheyuan Zhang

  8. A Survey of Large Language Models for Graphs

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

    Nitesh Chawla

  9. Machine Learning in Finance

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

    Vidyut Naware, Nitesh Chawla, Isha Chaturvedi

  10. Longitudinal Evaluation of Casual Puzzle Tablet Games by Older Adults

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

    Nitesh Chawla

  11. HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks

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

    Nitesh Chawla

  12. Can we Soft Prompt LLMs for Graph Learning Tasks?

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

    Nitesh Chawla, Zheyuan Liu, Yijun Tian

  13. Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective

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

    Nitesh Chawla

  14. Large Language Models for Graphs: Progresses and Directions

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

    Nitesh Chawla

  15. Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series

    Article • ACM Transactions on Intelligent Systems and Technology, December 2022, ACM (Association for Computing Machinery)

    Nitesh Chawla

  16. Formative Evaluation of a Tablet Application to Support Goal-Oriented Care in Community-Dwelling Older Adults

    Article • Proceedings of the ACM on Human-Computer Interaction, September 2022, ACM (Association for Computing Machinery)

    Nitesh Chawla

  17. Toward Graph Minimally-Supervised Learning

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

    Nitesh Chawla, Huan LIu

  18. KDD Workshop on Machine Learning in Finance

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

    Nitesh Chawla, Vidyut Naware

  19. Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers

    Article • ACM Transactions on Computing for Healthcare, July 2022, ACM (Association for Computing Machinery)

    Nitesh Chawla, Anind Dey

  20. Predicting terrorist attacks in the United States using localized news data

    Article • PLoS ONE, June 2022, PLOS

    Nitesh Chawla

  21. Towards Real-Time Safety Analysis of Small Unmanned Aerial Systems in the National Airspace

    Article • June 2022, American Institute of Aeronautics and Astronautics (AIAA)

    Nitesh Chawla, Urjoshi Sinha

  22. A Survey on Healthy Food Decision Influences Through Technological Innovations

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

    Nitesh Chawla

  23. Graph Minimally-supervised Learning

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

    Nitesh Chawla, Huan LIu

  24. Recipe Representation Learning with Networks

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

    Nitesh Chawla, Yijun Tian

  25. Machine Learning in Finance

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

    Nitesh Chawla

  26. Inductive Contextual Relation Learning for Personalization

    Article • ACM Transactions on Information Systems, July 2021, ACM (Association for Computing Machinery)

    Nitesh Chawla

  27. Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding

    Article • ACM Transactions on Intelligent Systems and Technology, June 2021, ACM (Association for Computing Machinery)

    Nitesh Chawla

  28. Pandemic Pulse

    Article • Digital Government Research and Practice, April 2021, ACM (Association for Computing Machinery)

    Nitesh Chawla, Steven Krieg

  29. Few-Shot Graph Learning for Molecular Property Prediction

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

    Nitesh Chawla

  30. Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings

    Article • December 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Nitesh Chawla

  31. Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer

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

    Nitesh Chawla

  32. GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction

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

    Nitesh Chawla

  33. Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors

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

    Nitesh Chawla

  34. Multi-modal Network Representation Learning

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

    Nitesh Chawla

  35. Fighting a Pandemic

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

    Nitesh Chawla

  36. Higher-order patterns of aquatic species spread through the global shipping network

    Article • PLoS ONE, July 2020, PLOS

    Nitesh Chawla

  37. Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit

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

    Nitesh Chawla

  38. Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity

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

    Nitesh Chawla

  39. Similarity-Aware Network Embedding with Self-Paced Learning

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

    Nitesh Chawla

  40. From Design to Development to Evaluation of a Pregnancy App for Low-Income Women in a Community-Based Setting

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

    Nitesh Chawla

  41. Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics

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

    Nitesh Chawla

  42. The Role of "Condition"

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

    Nitesh Chawla

  43. TUBE

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

    Nitesh Chawla

  44. Heterogeneous Graph Neural Network

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

    Nitesh Chawla

  45. Social network structure is predictive of health and wellness

    Article • PLoS ONE, June 2019, PLOS

    Nitesh Chawla, Dr Tomasz Kajdanowicz

  46. MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting

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

    Nitesh Chawla

  47. Learning from data streams and class imbalance

    Article • Connection Science, April 2019, Taylor & Francis

    Nitesh Chawla

  48. Integrated Closed-loop Learning Analytics Scheme in a First Year Experience Course

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

    Nitesh Chawla

  49. SHNE

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

    Nitesh Chawla

  50. Neural Tensor Factorization for Temporal Interaction Learning

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

    Nitesh Chawla

  51. DeepCrime

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

    Nitesh Chawla

  52. RESTFul

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

    Nitesh Chawla

  53. Multi-Type Itemset Embedding for Learning Behavior Success

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

    Nitesh Chawla

  54. Will Triadic Closure Strengthen Ties in Social Networks?

    Article • ACM Transactions on Knowledge Discovery from Data, June 2018, ACM (Association for Computing Machinery)

    Nitesh Chawla

  55. VisPod

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

    Nitesh Chawla

  56. Camel

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

    Nitesh Chawla

  57. A Review on Quantification Learning

    Article • ACM Computing Surveys, September 2017, ACM (Association for Computing Machinery)

    Nitesh Chawla

  58. User Modeling on Demographic Attributes in Big Mobile Social Networks

    Article • ACM Transactions on Information Systems, August 2017, ACM (Association for Computing Machinery)

    Nitesh Chawla

  59. metapath2vec

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

    Nitesh Chawla

  60. Structural Diversity and Homophily

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

    Nitesh Chawla

  61. Influence of Personal Preferences on Link Dynamics in Social Networks

    Article • Complexity, January 2017, Hindawi Publishing Corporation

    Omar Lizardo, Nitesh Chawla, Distinguish Professor Boleslaw K Szymanski

  62. Representing higher-order dependencies in networks

    Article • Science Advances, May 2016, American Association for the Advancement of Science

    Nitesh Chawla

  63. Prediction of fine-tuned promoter activity from DNA sequence

    Article • F1000Research, February 2016, Faculty of 1000, Ltd.

    Nitesh Chawla, Richard S Pinapati

  64. Recurrent Subgraph Prediction

    Article • August 2015, ACM (Association for Computing Machinery)

    Nitesh Chawla

  65. Collaboration Signatures Reveal Scientific Impact

    Article • August 2015, ACM (Association for Computing Machinery)

    Nitesh Chawla

  66. CoupledLP

    Article • August 2015, ACM (Association for Computing Machinery)

    Nitesh Chawla

  67. Qualitatively exploring electronic portfolios

    Article • March 2015, ACM (Association for Computing Machinery)

    Nitesh Chawla