I am Qian Shao (邵谦), a Ph.D. student in the College of Computer Science and Technology, Zhejiang University. I am interested in machine learning and its applications in healthcare. I work closely with Qiyuan Chen, and Jiahe Chen.

📝 Publications

(*: Equal contribution; $\dagger$: Corresponding author(s))

2026

• CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised Learning. Qian Shao, Q Chen, J Chen, Z Li, Q Tang, H Xu$^\dagger$, J Wu$^\dagger$. ICLR 2026, [CCF A, TH-CPL A].

• DREAM: Distribution-aware Re-sampling with Equiangular Alignment Mechanism for Long-Tailed Semi-Supervised Learning. Qian Shao$^*$, J Chen$^*$, Q Chen, Q Tang, J Chen, H Xu, J Kang$^\dagger$, J Wu$^\dagger$. ICME 2026 (Spotlight), [CCF B].

• Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling. Q Chen, H Huang, J Chen, Qian Shao, J Chen, H Xu, R Hua, R Chuan, J Wu. ACL 2026, [CCF A, TH-CPL A].

2025

• Icon$^2$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation. Q Chen$^*$, H Huang$^*$, Qian Shao, J Chen, J Chen, H Xu, R Hua, R Chuan$^\dagger$, J Wu$^\dagger$. EMNLP 2025, [TH-CPL A].

2024

• Comprehensive Subset Selection for CT Volume Compression to Improve Pulmonary Disease Screening Efficiency. Qian Shao$^*$, K Zhang$^*$, B Du, Z Li, Y Wu, Q Chen, J Wu$^\dagger$, J Chen$^\dagger$. KDD Workshop-AIDSH 2024, [CCF A, TH-CPL A Workshop].

• Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection. Qian Shao$^*$, J Kang$^*$, Q Chen$^*$, Z Li, H Xu, Y Cao, J Liang$^\dagger$, J Wu$^\dagger$. NeurIPS 2024, [CCF A, TH-CPL A].

• Joint Explicit and Implicit Cross-Modal Interaction Network for Anterior Chamber Inflammation Diagnosis. Qian Shao$^*$, Y Dai$^*$, H Ying$^\dagger$, K Xu, J Wang, W Chi$^\dagger$, J Wu. IEEE MedAI 2024, [EI].

• TeleOR: Real-time Telemedicine System for Full-Scene Operating Room. Y Wu$^*$, K Hu$^*$, Qian Shao, J Chen$^\dagger$, D Chen, J Wu$^\dagger$. MICCAI 2024 (Oral), [CCF B].

2021

• Deep learning and radiomics analysis for prediction of placenta invasion based on T2WI. Qian Shao$^*$, R Xuan$^*$, Y Wang$^\dagger$, J Xu, M Ouyang, C Yin, W Jin$^\dagger$. Mathematical Biosciences and Engineering, [SCIE].

• Development of a nomograph integrating radiomics and deep features based on MRI to predict the prognosis of high grade Gliomas. Y Wang, Qian Shao$^\dagger$, S Luo, R Fu. Mathematical Biosciences and Engineering, [SCIE].

Pre-Print

• CC-GSEO-Bench: A Content-Centric Benchmark for Measuring Source Influence in Generative Search Engines. Q Chen$^*$, J Chen$^*$, H Huang$^*$, Qian Shao, J Chen, R Hua, H Xu, R Wu, C Ren$^\dagger$, J Wu$^\dagger$. arXiv 2025.

• Curing Semantic Drift: A Dynamic Approach to Grounding Generation in LVLMs. J Chen, J He, Q Chen, Qian Shao, J Ying, H Xu, J Chen, J Zheng$^\dagger$, J Wu$^\dagger$. arXiv 2025.

• MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials. Qian Shao$^*$, B Du$^*$, Z Li, Q Chen, J Chen, H Xu, J Sun, J Wu$^\dagger$, J Chen$^\dagger$. arXiv 2026.

• Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework. Qian Shao$^*$, B Du$^*$, Y Wu, Z Li, Q Chen, Q Tang, J Wu, J Chen$^\dagger$, H Xu$^\dagger$. arXiv 2026.

🎖 Awards

• 2025.12, Academic Excellence First-Class Scholarship for Graduate Students, College of Computer Science $\&$ Technology, Zhejiang University

• 2019.12, Sencond Prize in “HUAWEI Cup” The 16th China Post-Graduate Mathematical Contest in Modeling (Top 15%)

📖 Educations

• 2022.09 - 2026.03 (expected), Ph.D. in Computer Science and Technology, College of Computer Science and Technology, Zhejiang University

• 2019.09 - 2022.06, M.Eng. in Computer Technology, Faculty of Electrical Engineering and Computer Science, Ningbo University

• 2014.09 - 2018.06, B.Eng. in Computer Science and Technology, Faculty of Electrical Engineering and Computer Science, Ningbo University

💬 Talks

None yet.