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Xianlong Zeng
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2020 – today
- 2025
- [j4]Weishuo Ren, Yifeng Zheng
, Wenjie Zhang
A novel ensemble over-sampling approach based Chebyshev inequality for imbalanced multi-label data. Neurocomputing 612: 128717 (2025) - 2024
- [j3]Yifeng Zheng
A novel ensemble causal feature selection approach with mutual information and group fusion strategy for multi-label data. Int. J. Intell. Comput. Cybern. 17(4): 671-704 (2024) - [j2]Xianlong Zeng, Peilan Wang
Millimeter-Wave Sensing and Mapping: A Low-Rank CP Decomposition Approach. IEEE Wirel. Commun. Lett. 13(6): 1675-1679 (2024) - [c8]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:
Reasoning about Network Traffic Load Property at Production Scale. NSDI 2024 - [c7]Ruihan Li
A General and Efficient Approach to Verifying Traffic Load Properties under Arbitrary k Failures. SIGCOMM 2024: 228-243 - [c6]Kun Qian
Alibaba HPN: A Data Center Network for Large Language Model Training. SIGCOMM 2024: 691-706 - [c5]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:
Diagnosing Application-network Anomalies for Millions of IPs in Production Clouds. USENIX ATC 2024: 885-899 - [i9]Peilan Wang, Jun Fang, Xianlong Zeng, Zhi Chen, Hongbin Li:
Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems. CoRR abs/2401.17681 (2024) - [i8]Xianlong Zeng, Fanghao Song, Ang Liu:
Similar Data Points Identification with LLM: A Human-in-the-loop Strategy Using Summarization and Hidden State Insights. CoRR abs/2404.04281 (2024) - [i7]Phoebe Jing, Yijing Gao, Xianlong Zeng:
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation. CoRR abs/2404.14746 (2024) - [i6]Phoebe Jing, Yijing Gao, Yuanhang Zhang, Xianlong Zeng:
Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics. CoRR abs/2405.08017 (2024) - [i5]Xianlong Zeng:
Enhancing the Interpretability of SHAP Values Using Large Language Models. CoRR abs/2409.00079 (2024) - 2021
- [j1]Xianlong Zeng
Multi-View Deep Learning Framework for Predicting Patient Expenditure in Healthcare. IEEE Open J. Comput. Soc. 2: 62-71 (2021) - [c4]Xianlong Zeng, Simon M. Lin, Chang Liu:
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis. BCB 2021: 17:1-17:9 - [c3]Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu:
Human-in-the-Loop Model Explanation via Verbatim Boundary Identification in Generated Neighborhoods. CD-MAKE 2021: 309-327 - [i4]Xianlong Zeng, Simon M. Lin, Chang Liu:
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis. CoRR abs/2106.12658 (2021) - [i3]Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu:
Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods. CoRR abs/2106.13093 (2021) - [i2]Xianlong Zeng, Simon M. Lin, Chang Liu:
Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks. CoRR abs/2106.13095 (2021) - 2020
- [c2]Xianlong Zeng, Yunyi Feng, Soheil Moosavinasab, Deborah Lin, Simon M. Lin, Chang Liu:
Multilevel Self-Attention Model and Its Use on Medical Risk Prediction. PSB 2020: 115-126
2010 – 2019
- 2019
- [i1]Xianlong Zeng, Soheil Moosavinasab, En-Ju D. Lin, Simon M. Lin, Razvan C. Bunescu, Chang Liu:
Distributed representation of patients and its use for medical cost prediction. CoRR abs/1909.07157 (2019) - 2018
- [c1]Xianlong Zeng, Soheil Moosavinasab, Enju Lin, Yungui Huang, Chang Liu, Simon M. Lin:
DeepChild: Hospitalization Prediction via Neural Network. AMIA 2018
Coauthor Index
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