papers

Publications (13)

cs.AI2025

TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning

Simin Ma, Shujian Liu, Jun Tan +7

Diverse instruction data is vital for effective instruction tuning of large language models, as it enables the model to generalize across different types of inputs . Building such…

cs.CV2021

A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision

Ti Bai, Anjali Balagopal, Michael Dohopolski +7

Automatic segmentation of anatomical structures is critical for many medical applications. However, the results are not always clinically acceptable and require tedious manual revi…

quant-ph2024

Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor

Dongxin Gao, Daojin Fan, Chen Zha +151

In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer pro…

math.OC2019

Location Planning of Fast Charging Station considering its Impact on the Power Grid Assets

Daijiafan Mao, Jun Tan, Guangyi Liu +1

Under the ambition of boosting Plug-in Electric Vehicle (PEV) charging speed to a level comparable to the traditional refueling, Fast Charging Station (FCS) has been integrated int…

cs.PL2026

When Do Staging Annotations Preserve Semantics? Mechanizing Typed Semantics-Preserving Multi-Stage Programming with Let-Insertion (Extended Version)

Jun Tan, Guannan Wei

Multi-stage programming with quotations has long provided a powerful way to generate and manipulate code. By treating code as data, programmers can write multi-stage programs in wh…

cs.LG2026

Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting

Jinglin Li, Jun Tan, QI Fang +1

Effectively modeling non-stationary dynamics in probabilistic multivariate time series(MTS) forecasting requires balancing expressiveness with robustness. Existing parametric appro…

eess.IV2026

Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification

Zijie Fang, Yihan Liu, Yifeng Wang +10

Biomarker detection is an indispensable part of the diagnosis and treatment of low-grade glioma (LGG). However, current LGG biomarker detection methods rely on expensive and comple…

physics.med-ph2015

Multi-GPU implementation of a VMAT treatment plan optimization algorithm

Zhen Tian, Fei Peng, Michael Folkerts +3

VMAT optimization is a computationally challenging problem due to its large data size, high degrees of freedom, and many hardware constraints. High-performance graphics processing…

cs.LG2026

Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity

Jun Tan, Qing Guo, Zicheng Xu +3

Counterfactual explanations (CEs) are essential for actionable recourse, yet their reliability is often compromised in low-density regions, where classifiers exhibit high variance.…

physics.med-ph2021

Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability

Dan Nguyen, Fernando Kay, Jun Tan +5

Since the outbreak of the COVID-19 pandemic, worldwide research efforts have focused on using artificial intelligence (AI) technologies on various medical data of COVID-19-positive…

cond-mat.mtrl-sci2025

Artificially creating emergent interfacial antiferromagnetism and its manipulation in a magnetic van-der-Waals heterostructure

Xiangqi Wang, Cong Wang, Yupeng Wang +9

Van der Waals (vdW) magnets, with their two-dimensional (2D) atomic structures, provide a unique platform for exploring magnetism at the nanoscale. Although there have been numerou…

quant-ph2025

Generation of 95-qubit genuine entanglement and verification of symmetry-protected topological phases

Tao Jiang, Jianbin Cai, Junxiang Huang +152

Symmetry-protected topological (SPT) phases are fundamental features of cluster states, serving as key resources for measurement-based quantum computation (MBQC). Generating large-…

quant-ph2026

Surface code logical operations on a superconducting quantum processor

Weiping Lin, Shaojun Guo, Yuwei Ma +144

Fault-tolerant quantum computation requires logical operations that manipulate encoded information while preserving quantum error-correction protection. In planar surface-code arch…