Xianlong Zeng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Unsupervised Manner

Medical Treatment

Top Venues

Publications

Peilan Wang, Jun Fang, Xianlong Zeng, Zhi Chen, Hongbin Li
Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems. CoRR (2024)
Ruihan Li, Yifei Yuan, Fangdan Ye, Mengqi Liu, Ruizhen Yang, Yang Yu, Tianchen Guo, Qing Ma, Xianlong Zeng, Chenren Xu, Dennis Cai, Ennan Zhai
A General and Efficient Approach to Verifying Traffic Load Properties under Arbitrary k Failures. SIGCOMM (2024)
Phoebe Jing, Yijing Gao, Xianlong Zeng
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation. CoRR (2024)
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 (2024)
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)
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 (2024)
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
Alibaba HPN: A Data Center Network for Large Language Model Training. SIGCOMM (2024)
Xianlong Zeng, Peilan Wang, Jun Fang
Millimeter-Wave Sensing and Mapping: A Low-Rank CP Decomposition Approach. IEEE Wirel. Commun. Lett. 13 (6) (2024)
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)
Xianlong Zeng, Simon M. Lin, Chang Liu
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis. CoRR (2021)
Xianlong Zeng, Simon M. Lin, Chang Liu
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis. BCB (2021)
Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu
Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods. CoRR (2021)
Xianlong Zeng, Simon M. Lin, Chang Liu
Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks. CoRR (2021)
Xianlong Zeng, Simon M. Lin, Chang Liu
Multi-View Deep Learning Framework for Predicting Patient Expenditure in Healthcare. IEEE Open J. Comput. Soc. 2 (2021)
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)
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)
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 (2019)
Xianlong Zeng, Soheil Moosavinasab, Enju Lin, Yungui Huang, Chang Liu, Simon M. Lin
DeepChild: Hospitalization Prediction via Neural Network. AMIA (2018)