Xianlong Zeng

According to our database, Xianlong Zeng authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A novel ensemble over-sampling approach based Chebyshev inequality for imbalanced multi-label data.

Weishuo Ren, Yifeng Zheng, Wenjie Zhang, Depeng Qing, Xianlong Zeng, Guohe Li

Neurocomputing, 2025

2024

Millimeter-Wave Sensing and Mapping: A Low-Rank CP Decomposition Approach.

Xianlong Zeng, Peilan Wang, Jun Fang

IEEE Wirel. Commun. Lett., June, 2024

Enhancing the Interpretability of SHAP Values Using Large Language Models.

Xianlong Zeng

CoRR, 2024

Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics.

Phoebe Jing, Yijing Gao, Yuanhang Zhang, Xianlong Zeng

CoRR, 2024

A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation.

Phoebe Jing, Yijing Gao, Xianlong Zeng

CoRR, 2024

Similar Data Points Identification with LLM: A Human-in-the-loop Strategy Using Summarization and Hidden State Insights.

Xianlong Zeng, Fanghao Song, Ang Liu

CoRR, 2024

Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems.

Peilan Wang, Jun Fang, Xianlong Zeng, Zhi Chen, Hongbin Li

CoRR, 2024

Diagnosing Application-network Anomalies for Millions of IPs in Production Clouds.

Zhe Wang, Huanwu Hu, Linghe Kong, Xinlei Kang, Qiao Xiang, Jingxuan Li, Yang Lu, Zhuo Song, Peihao Yang, Jiejian Wu, Yong Yang, Tao Ma, Zheng Liu, Xianlong Zeng, Dennis Cai, Guihai Chen

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Alibaba HPN: A Data Center Network for Large Language Model Training.

Kun Qian, Yongqing Xi, Jiamin Cao, Jiaqi Gao, Yichi Xu, Yu Guan, Binzhang Fu, Xuemei Shi, Fangbo Zhu, Rui Miao, Chao Wang, Peng Wang, Pengcheng Zhang, Xianlong Zeng, Eddie Ruan, Zhiping Yao, Ennan Zhai, Dennis Cai

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

A General and Efficient Approach to Verifying Traffic Load Properties under Arbitrary k Failures.

Ruihan Li, Yifei Yuan, Fangdan Ye, Mengqi Liu, Ruizhen Yang, Yang Yu, Tianchen Guo, Qing Ma, Xianlong Zeng, Chenren Xu, Dennis Cai, Ennan Zhai

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Reasoning about Network Traffic Load Property at Production Scale.

Ruihan Li, Fangdan Ye, Yifei Yuan, Ruizhen Yang, Bingchuan Tian, Tianchen Guo, Hao Wu, Xiaobo Zhu, Zhongyu Guan, Qing Ma, Xianlong Zeng, Chenren Xu, Dennis Cai, Ennan Zhai

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2021

Multi-View Deep Learning Framework for Predicting Patient Expenditure in Healthcare.

Xianlong Zeng, Simon M. Lin, Chang Liu

IEEE Open J. Comput. Soc., 2021

Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks.

Xianlong Zeng, Simon M. Lin, Chang Liu

CoRR, 2021

Human-in-the-Loop Model Explanation via Verbatim Boundary Identification in Generated Neighborhoods.

Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu

Proceedings of the Machine Learning and Knowledge Extraction, 2021

Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis.

Xianlong Zeng, Simon M. Lin, Chang Liu

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Multilevel Self-Attention Model and Its Use on Medical Risk Prediction.

Xianlong Zeng, Yunyi Feng, Soheil Moosavinasab, Deborah Lin, Simon M. Lin, Chang Liu

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

Distributed representation of patients and its use for medical cost prediction.

Xianlong Zeng, Soheil Moosavinasab, En-Ju D. Lin, Simon M. Lin, Razvan C. Bunescu, Chang Liu

CoRR, 2019

2018

DeepChild: Hospitalization Prediction via Neural Network.

Xianlong Zeng, Soheil Moosavinasab, Enju Lin, Yungui Huang, Chang Liu, Simon M. Lin

Proceedings of the AMIA 2018, 2018