I am Qian Shao (éµč°¦), a Ph.D. student in the College of Computer Science and Technology, Zhejiang University, under the supervision of Prof. Jian Wu. I am interested in machine learning and its applications in healthcare.
š Publications
(*: Equal contribution; $\dagger$: Corresponding author(s))
2026
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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].
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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$^\dagger$, J Kang$^\dagger$, J Wu. ICME 2026 (Spotlight), [CCF B].
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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$^\dagger$, R Hua, R Chuan$^\dagger$, 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
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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].
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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].
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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].
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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
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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].
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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
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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.
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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.
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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.
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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.
š Awards
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2025.12, Academic Excellence First-Class Scholarship for Graduate Students, College of Computer Science $\&$ Technology, Zhejiang University
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2019.12, Sencond Prize in āHUAWEI Cupā The 16th China Post-Graduate Mathematical Contest in Modeling (Top 15%)
š Educations
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2022.09 - 2026.03 (expected), Ph.D. in Computer Science and Technology, College of Computer Science and Technology, Zhejiang University
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2019.09 - 2022.06, M.Eng. in Computer Technology, Faculty of Electrical Engineering and Computer Science, Ningbo University
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2014.09 - 2018.06, B.Eng. in Computer Science and Technology, Faculty of Electrical Engineering and Computer Science, Ningbo University
š Professional Services
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Review for Conferences: NeurIPS, AAAI, ACM MM, IEEE ICME
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Review for Journals: IEEE TPAMI