Xianli Zeng

12 papers A* 1A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging.
CoRR
Jie Tang, Chuanlong Xie, Xianli Zeng, Lixing Zhu
2025 J jnl
MMHFN: a multimodal deep learning framework for intelligent classification and management of government documents.
Int. J. Reason. based Intell. Syst.
Qizhong Luo, Tiantian Huang, Xianli Zeng
2025 J jnl
Web public opinion prediction of public events based on graph convolutional neural networks in big data.
Int. J. Inf. Commun. Technol.
Xianli Zeng, Hui Deng, Qizhong Luo, Lina Xiong
2024 J jnl
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing.
CoRR
Xianli Zeng, Guang Cheng, Edgar Dobriban
2024 A conf
FairRR: Pre-Processing for Group Fairness through Randomized Response.
AISTATS
Joshua John Ward, Xianli Zeng, Guang Cheng
2024 J jnl
FairRR: Pre-Processing for Group Fairness through Randomized Response.
CoRR
Xianli Zeng, Joshua Ward, Guang Cheng
2024 J jnl
Minimax Optimal Fair Classification with Bounded Demographic Disparity.
CoRR
Xianli Zeng, Guang Cheng, Edgar Dobriban
2023 J jnl
Parallel path detection for fraudulent accounts in banks based on graph analysis.
PeerJ Comput. Sci.
Zuxi Chen, Shifan Zhang, Xianli Zeng, Meng Mei, Xiangyu Luo, Lixiao Zheng
2022 J jnl
Bayes-Optimal Classifiers under Group Fairness.
CoRR
Xianli Zeng, Edgar Dobriban, Guang Cheng
2022 A* conf
Fair Bayes-Optimal Classifiers Under Predictive Parity.
NeurIPS
Xianli Zeng, Edgar Dobriban, Guang Cheng
2022 J jnl
Fair Bayes-Optimal Classifiers Under Predictive Parity.
CoRR
Xianli Zeng, Edgar Dobriban, Guang Cheng
2009 — conf
A Trust Rating Model of Recommendation in Grid.
NCM
Wenming Huang, Peizhi Wen, Xianli Zeng, Zhenrong Deng
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski