Cheng, Lu

14 publications

IJCAI 2025 Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu

TMLR 2025 Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng

AAAI 2025 Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr

NeurIPS 2024 Conformalized Time Series with Semantic Features Baiting Chen, Zhimei Ren, Lu Cheng

AAAI 2024 Demystifying Algorithmic Fairness in an Uncertain World Lu Cheng

NeurIPS 2024 NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing Guangzhao Cheng, Chengbo Fu, Lu Cheng

NeurIPSW 2024 On Demonstration Selection for Improving Fairness in Language Models Song Wang, Peng Wang, Yushun Dong, Tong Zhou, Lu Cheng, Yangfeng Ji, Jundong Li

IJCAI 2023 A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar, Lu Cheng

NeurIPS 2023 Equal Opportunity of Coverage in Fair Regression Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S Yu

IJCAI 2021 Causal Learning for Socially Responsible AI Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu

NeurIPSW 2021 Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science Lu Cheng, Girish Ganesan, William He, Daniel Silverston, Harlin Lee, Jacob Gates Foster

JAIR 2021 Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng, Kush R. Varshney, Huan Liu

AAAI 2020 Tracking Disaster Footprints with Social Streaming Data Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu

IJCAI 2019 PI-Bully: Personalized Cyberbullying Detection with Peer Influence Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu