. “AdaTrip: Adaptive Graph on Transformer for Multi-Reservoir Inflow Prediction.” The 11th Workshop on Data Mining in Earth System Science (DMESS), IEEE International Conference on Data Mining (ICDM), Nov. 12–15, 2025, Washington, DC, USA.
. “Learning for Inflation Forecasting with Dynamic Feature Spaces.” Undergraduate and High School Symposium, IEEE International Conference on Data Mining (ICDM), Nov. 12–15, 2025, Washington, DC, USA.
. “No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery.” Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 5–9, 2025, Suzhou, China. [ ArXiv ]
. “Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters.” The 5th Workshop on Bias and Fairness in AI (BIAS), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), September 15–19, 2025, Porto, Portugal.
. “Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models.” Proceedings of the IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), June 24–26, 2025, Manhattan, New York City, USA.
. “DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification.” Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), May 3–5, 2025, Mai Khao, Thailand. [ ArXiv ]
. “A Topology-aware Graph Coarsening Framework for Continual Graph Learning.” Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS), December 9–15, 2024, Vancouver, Canada. [ ArXiv ]
. “Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models.” Proceedings of the 2024 IEEE International Conference on Big Data (IEEE BigData), December 15–18, 2024, Washington, DC, USA. [ ArXiv ]
. “MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records.” Workshop on Big Data and AI for Healthcare (ICBD), in Proceedings of the 2024 IEEE International Conference on Big Data, December 15–18, 2024, Washington, DC, USA. [ ArXiv ]
. “Advances in Human Event Modeling: From Graph Neural Networks to Language Models.” Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 25–29, 2024, Barcelona, Spain. [ local copy ]
. “Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.” Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), December 10–16, 2023, New Orleans, LA, USA. [ local copy | ArXiv | code ]
. “Equipping Federated Graph Neural Networks with Structure-aware Group Fairness.” Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM), Short Paper, December 1–4, 2023, Shanghai, China. [ local copy | ArXiv (long) | code ]
. “Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis.” Sustainability, Volume 15, November 2023.
. “Multi-Label Clinical Time-Series Generation via Conditional GAN.” IEEE Transactions on Knowledge and Data Engineering (TKDE), August 2023. [ local copy | code ]
. “Certified Edge Unlearning for Graph Neural Networks.” Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Regular Paper, August 6–10, 2023, Long Beach, CA, USA. [ local copy | code ]
. “Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis.” Proceedings of the 2022 IEEE International Conference on Big Data (IEEE BigData), Regular Paper, December 17–20, 2022, Osaka, Japan. [ local copy | code ]
. “Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction.” Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM), Regular Paper, Nov. 28 – Dec. 1, 2022, Orlando, FL, USA. [ local copy | code ]
. “Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning.” Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM), Regular Paper, Nov. 28 – Dec. 1, 2022, Orlando, FL, USA. [ local copy | code ]
. “Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding.” Proceedings of the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Short Paper, Nov. 10–13, 2022, Istanbul, Turkey & Virtual. [ local copy ]
. “Algorithmic Fairness in Computational Medicine.” eBioMedicine (The Lancet Discovery Science), Volume 84, October 2022.
. “Robust Event Forecasting with Spatiotemporal Confounder Learning.” Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Full Paper, August 14–18, 2022, Washington, DC, USA. [ local copy | code ]
. “Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images.” Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Full Paper, June 19–24, 2022, New Orleans, Louisiana, USA. [ local copy | code ]
. “Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs.” Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), Full Paper, Feb. 22 – March 1, 2022, Online. [ local copy | ArXiv | code ]
. “FairLP: Towards Fair Link Prediction on Social Network Graphs.” Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM), Full Paper, June 6–9, 2022, Atlanta, Georgia, USA. [ local copy ]
. “Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference.” Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM), Full Paper, June 6–9, 2022, Atlanta, Georgia, USA. [ local copy ]
. “Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction.” Communications in Computer and Information Science (Springer); The 5th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC21), August 24–26, 2021. [ local copy ] Recipient of the Best Solution (Novice) Award
. “Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction.” IEEE Transactions on Cybernetics, September 21, 2021. [ local copy | code ]
. “Understanding Event Predictions via Contextualized Multilevel Feature Learning.” Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Research Track, November 1–5, 2021, Online. [ local copy | bibtex | code ]
. “Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.” Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), Full Paper, August 21–26, 2021, Online. [ local copy | ArXiv | code ]
. “Incorporating Relational Knowledge in Explainable Fake News Detection.” Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Full Paper, May 11–14, 2021, Online. [ pdf | media coverage ]
. “Asynchronous Online Federated Learning for Edge Devices with Non-IID Data.” Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData), Full Paper, December 10–13, 2020, Online (Atlanta, Georgia, USA). [ pdf | ArXiv ]
. “Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.” Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM), Research Track, October 19–23, 2020, Online. [ pdf | bibtex | code ]
. “Dynamic Knowledge Graph based Multi-Event Forecasting.” Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, August 23–27, 2020, Online (San Diego, CA, USA). [ pdf | bibtex | code ]
. “Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection.” Proceedings of the 14th International Conference on Web and Social Media (ICWSM), Full Paper, June 8–11, 2020, Online (Atlanta, Georgia, USA). [ pdf | bibtex | video ]
. “Federated Multi-task Hierarchical Attention Model for Sensor Analytics.” Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN), Full Paper, July 19–24, 2020, Online (Glasgow, Scotland, UK). [ pdf | ArXiv ]
. “Fairness of Classification Using Users' Social Relationships in Online Peer-To-Peer Lending.” The Second Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES), The Web Conference (WWW), Full Paper, April 20–24, 2020, Online (Taipei, Taiwan). [ pdf ]
. “Learning Dynamic Context Graphs for Predicting Social Events.” Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track – Oral, August 4–8, 2019, Anchorage, Alaska, USA. [ pdf | bibtex | code ]
. “When do Crowds turn Violent? Uncovering Triggers from Media.” Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 28–31, 2018, Barcelona, Spain. [ pdf | bibtex ]
. “STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting.” Proceedings of the 18th SIAM International Conference on Data Mining (SDM), May 3–5, 2018, San Diego, CA, USA. [ pdf | poster | bibtex ] Recipient of SIAM Student Travel Award
. “Generating Realistic Synthetic Population Datasets.” ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 12, Issue 4, April 2018. [ bibtex ]
. “A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.” Proceedings of the 11th ACM Conference on Recommender Systems (RecSys), Aug. 27–31, 2017, Como, Italy. [ pdf | slides | bibtex ]
. “Determining Relative Airport Threats from News and Social Media.” Proceedings of the 29th Conference on Innovative Applications of Artificial Intelligence (IAAI), Feb. 4–9, 2017, San Francisco, CA, USA. [ pdf | bibtex ]
. “A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events.” Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM), Oct. 24–28, 2016, Indianapolis, IN, USA. [ pdf | bibtex ]
. “Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning.” Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track – Oral, August 13–17, 2016, San Francisco, CA, USA. [ pdf | video | poster | bibtex ] Recipient of ACM SIGKDD Student Travel Award
. “Topical Analysis of Interactions Between News and Social Media.” Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), Feb. 12–17, 2016, Phoenix, AZ, USA. [ pdf | bibtex ]
. “Uncovering News-Twitter Reciprocity via Interaction Patterns.” Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Aug. 24–28, 2015, Paris, France. [ pdf | slides | bibtex ]