Xin Liu刘鑫

Ph.D. student · School of Computer Science and Information Technology · Adelaide University

XL

I am a second-year Ph.D. student in computer science at Adelaide University (Oct 2025–), supervised by Prof. Thuc Le, Prof. Jiuyong Li and Prof. Lin Liu in the 4LLAB. Previously, I received a master's degree from Southeast University, jointly supervised by Prof. Min-Ling Zhang and Prof. Weijia Zhang in the PALM Lab. I also received a master's degree in artificial intelligence from Monash University.

My research is on causality and machine learning. It centres on two complementary questions: how to uncover the latent causal relationships underlying real-world data, and how to use causal insights to improve prediction, even when the world is only partially observed.

My research interests include:

My thinking about philosophy has shaped my academic taste.

I always welcome research discussions and collaborations. Please feel free to reach out by email: xin.liu@adelaide.edu.au.

News

Sep 2026Our paper Choosing Before Acting is accepted at NeurIPS 2026. See you in Sydney in December! 🎉
Mar 2026FocusMIL received scores of 5/4/3 at CVPR 2026 and was recommended to CVPR Findings. We opted out and are submitting it elsewhere.
Dec 2025Our paper From Correlation to Causation: Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification (FocusMIL) is now available! Paper · Code
Oct 2025Started my Ph.D. at Adelaide University.
May 2025Presented HACSurv at AISTATS 2025 in Mai Khao, Thailand.
Jan 2025Our paper HACSurv is accepted at AISTATS 2025, with scores of 4/4/4/3.

Publications and preprints

  1. FocusMIL architecture: ResNet18 features, a variational encoder, and an instance classifier
    Xin Liu, Weijia Zhang, Wei Tang, Thuc Duy Le, Jiuyong Li, Lin Liu, Min-Ling Zhang
    arXiv preprint arXiv:2408.09449, 2024 · revised Dec 2025

    We show that max-pooling predicts from one-sided positive evidence, which makes it inherently robust to bias factors in negative bags. We identify the failure modes of existing max-pooling methods and propose FocusMIL to fix them.

  2. HACSurv architecture: three monotonic networks producing survival functions joined by copulas
    Xin Liu, Weijia Zhang, Min-Ling Zhang
    Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 258:3079–3087, 2025

    We relax the assumption of conditional independence among competing risks. We use a hierarchical Archimedean copula to capture the asymmetric dependence structure induced by unobserved confounders.

  3. CITA overview: the rolling decision cycle guided by the comparative inference model
    Yu Li, Zheng Zhang, Xin Liu, Shengtian Yang, Guangfeng Cai, Lei Feng
    Advances in Neural Information Processing Systems (NeurIPS), 2026

    We train a comparative inference model to estimate the long-horizon value of candidate tool calls before execution. The model guides tool selection and provides step-level feedback for reinforcement learning.

Awards and scholarships

2025 – 2029Australian Government Research Training Program (RTP) Scholarship, Adelaide University.
Jun 2025Outstanding Graduate, Southeast University.

Education

Beyond research

I am a philosophy enthusiast. Reading and thinking about philosophy has shaped my academic taste. These are the three philosophers who have influenced me the most:

High schoolWang Yangming 王阳明 (1472–1529) — critically inherited traditional Chinese philosophy.
UndergraduateLudwig Wittgenstein (1889–1951) — showed that many long-standing philosophical problems arise from the misuse of language.
Graduate schoolJudea Pearl (b. 1936) — advanced the development of causal science.

In my spare time, I enjoy cooking, working out, and singing.

Invited talks

Nov 2024Copula-based Survival Analysis — University of Alberta (online).

Service

Reviewer: ICLR 2027, IJCAI 2025.