Lu Cheng

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 26

Top Topics

Aggregating Algorithm

Machine Learning

Message Passing

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Jihyun Janice Ahn, Ryo Kamoi, Lu Cheng, Rui Zhang, Wenpeng Yin
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation. CoRR (2024)
Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR (2024)
Tianyi Zhao, Jian Kang, Lu Cheng
Conformalized Link Prediction on Graph Neural Networks. CoRR (2024)
Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes, Yang Liu, Lu Cheng
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. CoRR (2024)
Anique Tahir, Lu Cheng, Huan Liu
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning. CoRR (2024)
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR (2024)
Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
Large Language Models for Data Annotation: A Survey. CoRR (2024)
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) (2024)
Tianyi Zhao, Jian Kang, Lu Cheng
Conformalized Link Prediction on Graph Neural Networks. KDD (2024)
Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
A Survey on Safe Multi-Modal Learning Systems. KDD (2024)
Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
A Survey on Safe Multi-Modal Learning System. CoRR (2024)
Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. CoRR (2024)
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR (2024)
Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu
Equal Opportunity of Coverage in Fair Regression. CoRR (2023)
Kenya S. Andrews, Bhuvani Shah, Lu Cheng
Intersectionality and Testimonial Injustice in Medical Records. CoRR (2023)
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. CoRR (2023)
Tianyi Zhao, Hui Hu, Lu Cheng
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. CoRR (2023)
Tianyi Zhao, Hui Hu, Lu Cheng
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. CIKM (2023)
Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR (2023)
Usman Gohar, Lu Cheng
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. IJCAI (2023)
Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu
sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation. CoRR (2023)
Song Wang, Jing Ma, Lu Cheng, Jundong Li
Fair Few-Shot Learning with Auxiliary Sets. ECAI (2023)
Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan
Causal Disentanglement for Implicit Recommendations with Network Information. ACM Trans. Knowl. Discov. Data 17 (7) (2023)
Anique Tahir, Lu Cheng, Huan Liu
Fairness through Aleatoric Uncertainty. CIKM (2023)
Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu
Equal Opportunity of Coverage in Fair Regression. NeurIPS (2023)