Mingda Zhang

Mingda Zhang

Publications

📚 Conference papers and submissions

OpenReview profile

  1. FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
    NeurIPS 2026 · Poster (Accepted)
    Mingda Zhang, Wenjin Liu, Tiesunlong Shen, Qika Lin, Rui Mao, Erik Cambria, Xiaoying Tang, Haoran Luo
    PDF (arXiv v4) · arXiv · Conference page

  2. EvoSteer: Online Self-Evolving Graph Orchestration via Reference-Anchored Credit Assignment
    ICLR 2027 · Conference submission
    PDF · OpenReview · arXiv preprint

  3. SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
    ICLR 2027 · Conference submission
    PDF · OpenReview · arXiv preprint

  4. R²Flow: Recursive Self-Improvement via Recursive Skill Evolution
    ICLR 2027 · Conference submission
    PDF · OpenReview · arXiv preprint

  5. CollabFlow: Recursive Self-Improvement of Agent Collaboration
    ICLR 2027 · Conference submission
    PDF · OpenReview · arXiv preprint

  6. FINITE ADAPTABILITY OF COUNTEREXAMPLE LIBRARIES
    ICLR 2027 · Conference submission
    PDF · OpenReview

  7. WHAT DOES SPATIAL ACCURACY CERTIFY? MATCHED AND CROSSED CANDIDATE AUDITS
    ICLR 2027 · Conference submission
    PDF · OpenReview

  8. Prior Locking in RLVR: Prior-Corrected Optimization for Broader Reasoning Coverage
    ICLR 2027 · Conference submission
    PDF · OpenReview

  9. PREDICTABLE BUT UNSTABLE : PROBING CONSTRAINT VIOLATIONS IN MULTI-TURN DIALOGUE
    ICLR 2027 · Conference submission
    PDF · OpenReview

Other selected papers

  1. “Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation” (BMC Medical Imaging, JCR Q1) [Accepted] — Bidirectional interaction between VLM models and deep learning for brain tumor recognition. (Mingda Zhang, Kaiwen Pan) PDF

  2. “An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis” (Scientific Reports, JCR Q1) [Accepted] — Combining prompt engineering with knowledge graphs for legal analysis. (Mingda Zhang, Na Zhao, Jianglong Qin, Qing Xu, Kaiwen Pan, Ting Luo) PDF

  3. “Knowledge-Guided Brain Tumor Segmentation via Synchronized Visual-Semantic-Topological Prior Fusion” (Array, JCR Q1) — Integrating VLM models and deep learning for brain tumor recognition. (Mingda Zhang — solo author) PDF

  4. “DCFFSNet: Deep Connectivity Feature Fusion Separation Network for Medical Image Segmentation” (iScience, JCR Q1) — Proposed a feature space decoupling strategy to address segmentation fragmentation caused by forced feature coupling. (Mingda Zhang, Xun Ye, Ruixiang Tang, Jianglong Qin) PDF

  5. “The Consistency-Acceptability Divergence of LLMs in Judicial Decision-Making: Task and Stakeholder Dimensions” (Humanities & Social Sciences Communications, JCR Q1 / CAS Q1) — Proposing the concept of Consistency-Acceptability Divergence to reveal social phenomena in current LLMs. (Mingda Zhang, Xu Qing) PDF

  6. “A Multi-granularity Sparse Concept Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis” (iScience, JCR Q1) — Addressing knowledge deficiency and algorithms to LLM in rare disease diagnosis. (Mingda Zhang, Na Zhao, Jianglong Qin, Guoyu Ye, Ruixiang Tang) PDF

  7. “A Method for the Architecture of a Medical Vertical Large Language Model Based on Deepseek R1” (CCF-AI-2025) [Accepted] — Designing a lightweight LLM architecture for the bioinformatics field. (Mingda Zhang, Jianglong Qin) PDF

  8. “ELPG-DTFS: Prior-Guided Adaptive Time-Frequency Graph Neural Network for EEG Depression Diagnosis” (IJCNN 2026) — Modeling EEG dynamic connectivity through channel-band attention, learnable connections and residual prior integration. (Jingru Qiu, Jiale Liang, Xuanhan Fan, Mingda Zhang, Zhenli He) PDF

  9. “A Semantic Segmentation Algorithm for Pleural Effusion Based on DBIF-AUNet” (Computer Technology and Development) [Accepted] — Semantic segmentation of pleural effusion CT via dual-domain feature disentanglement and multi-branch interactive attention. (Ruixiang Tang, Mingda Zhang, Jianglong Qin, Yan Song, Yi Wu, Wei Wu) PDF