Incorporating Metadata into Dynamic Topic Analysis. - Tianxi Li; Branislav Kveton; Yu Wu; Ashwin Kashyap (BMA, 2012)

Statistical inference in two-stage online controlled experiments with treatment selection and validation. - Alex Deng; Tianxi Li; Yu Guo (WWW, 2014)

Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees. - Tianxi Li; Chao Gao; Meng Xu; Bala Rajaratnam (Comput. Stat., 2014)

Probabilistic Rule Realization and Selection. - Haizi Yu; Tianxi Li; Lav R. Varshney (NIPS, 2017)

High-dimensional Gaussian graphical model for network-linked data. - Tianxi Li; Cheng Qian; Elizaveta Levina; Ji Zhu 001 (CoRR, 2019)

RDMP-KV: designing remote direct memory persistence based key-value stores with PMEM. - Tianxi Li; Dipti Shankar; Shashank Gugnani; Xiaoyi Lu (SC, 2020)

High-dimensional Gaussian graphical models on network-linked data. - Tianxi Li; Cheng Qian; Elizaveta Levina; Ji Zhu 001 (J. Mach. Learn. Res., 2020)

Diffusion Source Identification on Networks with Statistical Confidence. - Quinlan Dawkins; Tianxi Li; Haifeng Xu (ICML, 2021)

NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics. - Shashank Gugnani; Tianxi Li; Xiaoyi Lu (IPDPS, 2021)

HatRPC: hint-accelerated thrift RPC over RDMA. - Tianxi Li; Haiyang Shi; Xiaoyi Lu (SC, 2021)

Informative core identification in complex networks. - Ruizhong Miao; Tianxi Li (CoRR, 2021)

Network Estimation by Mixing: Adaptivity and More. - Tianxi Li; Can M. Le (CoRR, 2021)

Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. - Ashwinkumar Badanidiyuru Varadaraja; Zhe Feng 004; Tianxi Li; Haifeng Xu (NeurIPS, 2022)

A Study of Database Performance Sensitivity to Experiment Settings. - Yang Wang 009; Miao Yu; Yujie Hui; Fang Zhou; Yuyang Huang; Rui Zhu; Xueyuan Ren; Tianxi Li; Xiaoyi Lu (Proc. VLDB Endow., 2022)

Refined Aboveground Biomass Estimation of Moso Bamboo Forest Using Culm Lengths Extracted from TLS Point Cloud. - Rui Jiang; Jiayuan Lin; Tianxi Li (Remote. Sens., 2022)

Fitting low-rank models on egocentrically sampled partial networks. - Ga Ming Angus Chan; Tianxi Li (AISTATS, 2023)

Link Prediction for Egocentrically Sampled Networks. - Tianxi Li; Yun-Jhong Wu; Elizaveta Levina; Ji Zhu 001 (J. Comput. Graph. Stat., 2023)

Community models for networks observed through edge nominations. - Tianxi Li; Elizaveta Levina; Ji Zhu 001 (J. Mach. Learn. Res., 2023)

The Non-Overlapping Statistical Approximation to Overlapping Group Lasso. - Mingyu Qi; Tianxi Li (J. Mach. Learn. Res., 2024)

On the Feasibility and Benefits of Extensive Evaluation. - Yujie Hui; Miao Yu; Hao Qi; Yifan Gan; Tianxi Li; Yuke Li; Xueyuan Ren; Sixiang Ma; Xiaoyi Lu; Yang Wang 009 (Proc. ACM Manag. Data, 2024)

GRAND: Graph Release with Assured Node Differential Privacy. - Suqing Liu; Xuan Bi; Tianxi Li (CoRR, 2025)