DeepChild: Hospitalization Prediction via Neural Network. - Xianlong Zeng; Soheil Moosavinasab; Enju Lin; Yungui Huang; Chang Liu 028; Simon M. Lin (AMIA, 2018)

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 028 (CoRR, 2019)

Multilevel Self-Attention Model and Its Use on Medical Risk Prediction. - Xianlong Zeng; Yunyi Feng; Soheil Moosavinasab; Deborah Lin; Simon M. Lin; Chang Liu 028 (PSB, 2020)

Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis. - Xianlong Zeng; Simon M. Lin; Chang Liu 028 (BCB, 2021)

Human-in-the-Loop Model Explanation via Verbatim Boundary Identification in Generated Neighborhoods. - Xianlong Zeng; Fanghao Song; Zhongen Li; Krerkkiat Chusap; Chang Liu 028 (CD-MAKE, 2021)

Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks. - Xianlong Zeng; Simon M. Lin; Chang Liu 028 (CoRR, 2021)

Multi-View Deep Learning Framework for Predicting Patient Expenditure in Healthcare. - Xianlong Zeng; Simon M. Lin; Chang Liu 028 (IEEE Open J. Comput. Soc., 2021)

Reasoning about Network Traffic Load Property at Production Scale. - Ruihan Li; Fangdan Ye; Yifei Yuan 001; Ruizhen Yang; Bingchuan Tian; Tianchen Guo; Hao Wu; Xiaobo Zhu; Zhongyu Guan; Qing Ma; Xianlong Zeng; Chenren Xu; et al. (NSDI, 2024)

A General and Efficient Approach to Verifying Traffic Load Properties under Arbitrary k Failures. - Ruihan Li; Yifei Yuan 001; Fangdan Ye; Mengqi Liu 001; Ruizhen Yang; Yang Yu; Tianchen Guo; Qing Ma; Xianlong Zeng; Chenren Xu; Dennis Cai; Ennan Zhai (SIGCOMM, 2024)

Alibaba HPN: A Data Center Network for Large Language Model Training. - Kun Qian 004; Yongqing Xi; Jiamin Cao; Jiaqi Gao; Yichi Xu; Yu Guan 005; Binzhang Fu; Xuemei Shi; Fangbo Zhu; Rui Miao 001; Chao Wang; Peng Wang 185; et al. (SIGCOMM, 2024)

Diagnosing Application-network Anomalies for Millions of IPs in Production Clouds. - Zhe Wang 015; Huanwu Hu; Linghe Kong; Xinlei Kang; Qiao Xiang; Jingxuan Li; Yang Lu; Zhuo Song; Peihao Yang; Jiejian Wu; Yong Yang 013; Tao Ma 006; et al. (USENIX ATC, 2024)

Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems. - Peilan Wang; Jun Fang 001; Xianlong Zeng; Zhi Chen 002; Hongbin Li 001 (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)

A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation. - Phoebe Jing; Yijing Gao; 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)

Enhancing the Interpretability of SHAP Values Using Large Language Models. - Xianlong Zeng (CoRR, 2024)

A novel ensemble causal feature selection approach with mutual information and group fusion strategy for multi-label data. - Yifeng Zheng 004; Xianlong Zeng; Wenjie Zhang 003; Baoya Wei; Weishuo Ren; Depeng Qing (Int. J. Intell. Comput. Cybern., 2024)

Millimeter-Wave Sensing and Mapping: A Low-Rank CP Decomposition Approach. - Xianlong Zeng; Peilan Wang; Jun Fang 001 (IEEE Wirel. Commun. Lett., 2024)

CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters. - Xiang Liu 014; Hau Chan; Minming Li; Xianlong Zeng; Chenchen Fu; Weiwei Wu 001 (INFOCOM, 2025)

Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production. - Jianbo Dong; Kun Qian 004; Pengcheng Zhang; Zhilong Zheng; Liang Chen 001; Fei Feng; Yichi Xu; Yikai Zhu; Gang Lu; Xue Li 024; Zhihui Ren; Zhicheng Wang; et al. (NSDI, 2025)

New Evolution of Hoyan: Enhancing Scalability, Usability, and Accuracy for Alibaba's Global WAN Verification. - Yifei Yuan 001; Fangdan Ye; Yifan Li; Jingkai Zhang; Mengqi Liu 001; Yuyang Sang; Ruizhen Yang; Duncheng She; Zhiqing Ye; Tianchen Guo; Xiaobo Zhu; Xinji Tang; et al. (SIGCOMM, 2025)

A novel ensemble over-sampling approach based Chebyshev inequality for imbalanced multi-label data. - Weishuo Ren; Yifeng Zheng 004; Wenjie Zhang 003; Depeng Qing; Xianlong Zeng; Guohe Li (Neurocomputing, 2025)

CSI-Free Position Optimization for Movable Antenna Communication Systems: A Derivative-Free Optimization Approach. - Xianlong Zeng; Jun Fang 001; Bin Wang 055; Boyu Ning; Hongbin Li 001 (IEEE Wirel. Commun. Lett., 2025)

Semi-supervised feature selection with minimal redundancy based on group optimization strategy for multi-label data. - Depeng Qing; Yifeng Zheng 004; Wenjie Zhang 003; Weishuo Ren; Xianlong Zeng; Guohe Li (Knowl. Inf. Syst., 2025)

Low-Complexity Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems. - Peilan Wang; Jun Fang 001; Xianlong Zeng; Zhi Chen 002; Hongbin Li 001 (IEEE Internet Things J., 2025)