2025
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation.
CoRR, April, 2025
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models.
CoRR, April, 2025
2024
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
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CoRR, 2024
DemoShapley: Valuation of Demonstrations for In-Context Learning.
CoRR, 2024
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation.
CoRR, 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
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CoRR, 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges.
CoRR, 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.
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CoRR, 2024
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning.
CoRR, 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.
CoRR, 2024
Large Language Models for Data Annotation: A Survey.
CoRR, 2024
A Survey on Safe Multi-Modal Learning System.
CoRR, 2024
AI Driven Online Advertising: Market Design, Generative AI, and Ethics.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Interpreting Pretrained Language Models via Concept Bottlenecks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
A Survey on Safe Multi-Modal Learning Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Conformalized Link Prediction on Graph Neural Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Large Language Models for Data Annotation and Synthesis: A Survey.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
Evaluating LLMs Capabilities Towards Understanding Social Dynamics.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024
Robust Stance Detection: Understanding Public Perceptions in Social Media.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024
2023
sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023
CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations.
ACM Trans. Knowl. Discov. Data, February, 2023
Causal Disentanglement for Implicit Recommendations with Network Information.
ACM Trans. Knowl. Discov. Data, 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.
CoRR, 2023
Interpreting Pretrained Language Models via Concept Bottlenecks.
CoRR, 2023
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier.
CoRR, 2023
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation.
CoRR, 2023
Intersectionality and Testimonial Injustice in Medical Records.
CoRR, 2023
Equal Opportunity of Coverage in Fair Regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Fair Few-Shot Learning with Auxiliary Sets.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Fairness through Aleatoric Uncertainty.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Intersectionality and Testimonial Injustice in Medical Records.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
Socially Responsible AI - Theories and Practices
WorldScientific, ISBN: 9789811266645, 2023
2022
Evaluation Methods and Measures for Causal Learning Algorithms.
IEEE Trans. Artif. Intell., 2022
Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands.
IEEE Internet Things J., 2022
Improving Vaccine Stance Detection by Combining Online and Offline Data.
CoRR, 2022
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data.
CoRR, 2022
Toward Understanding Bias Correlations for Mitigation in NLP.
CoRR, 2022
Causal Disentanglement with Network Information for Debiased Recommendations.
CoRR, 2022
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Causal Mediation Analysis with Hidden Confounders.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Causal Disentanglement with Network Information for Debiased Recommendations.
Proceedings of the Similarity Search and Applications - 15th International Conference, 2022
Bias Mitigation for Toxicity Detection via Sequential Decisions.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2022
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Debiasing Word Embeddings with Nonlinear Geometry.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Distributional Shift Adaptation using Domain-Specific Features.
Proceedings of the IEEE International Conference on Big Data, 2022
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks.
Trans. Data Sci., 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges.
J. Artif. Intell. Res., 2021
Session-Based Cyberbullying Detection: Problems and Challenges.
IEEE Internet Comput., 2021
A Survey of Learning Causality with Data: Problems and Methods.
ACM Comput. Surv., 2021
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation.
CoRR, 2021
Mechanisms and Attributes of Echo Chambers in Social Media.
CoRR, 2021
Automated Meta-Analysis: A Causal Learning Perspective.
CoRR, 2021
Improving Cyberbullying Detection with User Interaction.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Long-Term Effect Estimation with Surrogate Representation.
Proceedings of the WSDM '21, 2021
Causal Understanding of Fake News Dissemination on Social Media.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Causal Learning for Socially Responsible AI.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Improving Cyberbully Detection with User Interaction.
CoRR, 2020
Towards Causal Understanding of Fake News Dissemination.
CoRR, 2020
Representation Learning for Imbalanced Cross-Domain Classification.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Tracking Disaster Footprints with Social Streaming Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Robust Cyberbullying Detection with Causal Interpretation.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
XBully: Cyberbullying Detection within a Multi-Modal Context.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
PI-Bully: Personalized Cyberbullying Detection with Peer Influence.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
A Practical Data Repository for Causal Learning with Big Data.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019