CV

Education

Ph.D. in Computer Science and Engineering, University of Texas at Arlington (Expected 2028) — GPA: 4.0/4.0
Computer Science, Rutgers University (2021–2023) — GPA: 4.0/4.0
M.S. in Electrical Engineering, University of Southern California (2019–2021) — GPA: 3.94/4.0
B.E. in Communication Engineering, University of Science and Technology Beijing (2015–2019) — GPA: 3.66/4.0
- Dissertation: “Complex Aviation Mobile Services Link Aggregation with Hidden Markov Model” — University Excellent Student Paper Award (top 3%)

Publications

Uncertainty-Aware Multimodal Gait Representation Learning for Scoliosis Screening

Haiqing Li, Jingquan Yan, Yinhao Wu, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Jean Gao, Junzhou Huang. "Uncertainty-Aware Multimodal Gait Representation Learning for Scoliosis Screening." IEEE Transactions on Medical Imaging, September 2026.

Decomposed Representations Mitigate the Alignment–Specificity Trade-off in Multi-Omics

Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jingquan Yan, Haiqing Li, Saiyang Na, Zheng Zheng, Thuc Anh Tran, Jean Gao, Junzhou Huang. "Decomposed Representations Mitigate the Alignment–Specificity Trade-off in Multi-Omics." NeurIPS 2026.

CytoWave: Perturbation-Centric Pretraining for Single-Cell Response Prediction

Yuwei Miao, Jingquan Yan, Hehuan Ma, Thao M. Dang, Lin Xu, Siyuan Zhang, Junzhou Huang. "CytoWave: Perturbation-Centric Pretraining for Single-Cell Response Prediction." NeurIPS 2026.

B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses

Jingquan Yan, Yuwei Miao, Peiran Yu, Junzhou Huang. "B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses." NeurIPS 2026.

GAMI: Gradient-Aligned Modality Importance for Multimodal Cancer Outcome Prediction

Xiao Hu, Yuzhi Guo, Zheng Zheng, Wenliang Zhong, Haiqing Li, Yuwei Miao, Jingquan Yan, Hehuan Ma, Yinhao Wu, Junzhou Huang. "GAMI: Gradient-Aligned Modality Importance for Multimodal Cancer Outcome Prediction." BIBM 2026.

GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences

Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang. "GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences." AAAI 2026 Oral.

Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors

Jingquan Yan, Yuwei Miao, Peiran Yu, Junzhou Huang. "Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors." ICLR 2026.

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang. "GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction." AAAI 2025.

Efficient Uncertainty-Aware Multiple Instance Regression

Jingquan Yan, Yuwei Miao, Thao M. Dang, Junzhou Huang. "Efficient Uncertainty-Aware Multiple Instance Regression." Under Review.

UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers

Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Weizhi An, Jean Gao, Junzhou Huang. "UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers." arXiv:2412.12688.

Self-Interpretable Time Series Prediction with Counterfactual Explanations

Jingquan Yan, Hao Wang. "Self-Interpretable Time Series Prediction with Counterfactual Explanations." ICML 2023 Oral.

HiddenVis: a Hidden State Visualization Toolkit to Visualize and Interpret Deep Learning Models for Time Series Data

Jingquan Yan, Ruichen Rong, Guanghua Xiao, Xiaowei Zhan. "HiddenVis: a Hidden State Visualization Toolkit to Visualize and Interpret Deep Learning Models for Time Series Data." bioRxiv 2020.12.11.422030.

Research Interests

Trustworthy and Interpretable AI: Explainability and uncertainty quantification in AI systems
Correlation Learning: Learning and exploiting label and feature correlations in modern machine learning
AI4Science: Applications of deep learning in healthcare (time-series, pathology data) and biology (genetic data)

Services

Gold Reviewer Award: ICML 2026

Reviewer: ICML, ICLR, NeurIPS, CVPR, AAAI, WACV, TMLR