Research
Explore. Adventure.
I am currently a Ph.D. in Computer Science student at National University of Singapore (NUS), supervised by Prof. Bryan Kian Hsiang Low and Dr. Chuan-Sheng Foo. Back in National Junior College (NJC), I joined the H3 Science Research programme, where I got a chance to research in Agency for Science, Technology and Research (A*STAR) for 1 year. When I was an undergraduate, I enrolled in the Undergraduate Research Opportunity Programme under the supervision of Prof. Bryan Kian Hsiang Low and the paper has been accepted into the AAAI-24 conference. My Integrated Honours Project (IHT) thesis was supervised by Prof. Bryan Kian Hsiang Low and Prof. Jonathan Scarlett.
Research Interests
- Data-centric machine learning (e.g., data valuation, active learning, machine unlearning)
- Multi-agent machine learning (e.g., collaborative/federated learning, incentive mechanism)
- Privacy-preserving machine learning (e.g., differentially private machine learning)
Research Experiences [see more]
Student Researcher @ NUS
Singapore · May 2023 - Sep 2023; May 2024 - Aug 2024
Researcher @ A*STAR
Singapore · Mar 2018 - Feb 2019
Publications and Preprints [†: equal contribution]
Deletion-Anticipative Data Selection with a Limited Budget
R.H.L. Sim, J. Fan, X. Tian, B.K.H. Low & P. Jaillet · 2024 · The 41st International Conference on Machine Learning (ICML-24)
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
X. Tian, R.H.L. Sim, J. Fan & B.K.H. Low · 2024 · The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24)
Identifying the Geometry of an Object Using Lock-In Thermography
X. Tian, M. Yin & H. Goh · 2019 · arXiv
Course Projects [†: equal contribution]
Adversarially Robust Streaming Algorithms
J. Fan† & X. Tian† · 2024 · CS5234 Algorithms at Scale
Differentially Private Machine Learning
J. Fan† & X. Tian† · 2024 · MA4270 Data Modelling and Computation
[Paper Review] PointGuard: Provably Robust 3D Point Cloud Classification
X. Tian · 2024 · ART.T466 3D Computer Vision
[Paper Review] Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
X. Tian · 2024 · SCE.I435 Visual and Knowledge Information Processing
Inverse Analysis of Heat Transfer in Blast Furnaces
X. Tian · 2023 · SCE.A405 Inverse Problems and Data Assimilation
Face Mask Detection for Disease X: A Probabilistic Approach
J. Fan†, G. Gao†, Y. Mo† & X. Tian† · 2023 · CS5340 Uncertainty Modelling in AI
Reed-Solomon Codes: Mechanism, Improvement and Application
J. Fan† & X. Tian† · 2023 · CS3236 Introduction to Information Theory
Data Valuation for Machine Learning
X. Tian · 2022 · CS2309 CS Research Methodology
[Paper Review] Data Shapley: Equitable Valuation of Data for Machine Learning
X. Tian · 2022 · CS2309 CS Research Methodology
Predicting Scores and Controversialities of Reddit Posts Using Machine Learning
J. Fan†, J. Han, B. Li, X. Tian† & Z. Xin† · 2022 · CS3244 Machine Learning
Somatropin and Growth Hormone Deficiency
J. Fan† & X. Tian† · 2021 · FMS1218B How Come Aspirin Can Relieve My Headache?
Thermography - A Big Data Problem (Experiments)
X. Tian & H.K.H. Goh · 2019 · NJC H3 Research