Lu Cheng
Orcid: 0000-0002-2503-2522Affiliations:
- University of Illinois Chicago, Department of Computer Science, IL, USA
- Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA (PhD)
According to our database1,
Lu Cheng
authored at least 69 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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Bibliography
2024
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation.
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.
CoRR, 2024
CoRR, 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
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
2023
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
ACM Trans. Knowl. Discov. Data, 2023
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
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
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
WorldScientific, ISBN: 9789811266645, 2023
2022
IEEE Trans. Artif. Intell., 2022
IEEE Internet Things J., 2022
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data.
CoRR, 2022
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
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Similarity Search and Applications - 15th International Conference, 2022
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
Proceedings of the 29th International Conference on Computational Linguistics, 2022
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
J. Artif. Intell. Res., 2021
IEEE Internet Comput., 2021
ACM Comput. Surv., 2021
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019