collaborators

9 papers

cs.SE2026

BC-Bench: Evaluating Agentic Engineering in a Domain-Specific Language for ERP

Haoran Sun, Klaus Marius Hansen

Agentic engineering systems have shown strong performance on general-purpose benchmarks, yet their effectiveness in enterprise resource planning (ERP) domain-specific languages (DS…

cs.CV2026

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation

Haoyu Yang, Meixing Shi, Zengjie Chen +5

Reliable medical image understanding requires models to connect clinical language and visual reasoning with pixel-level grounding. Yet medical vision-language models often lack pre…

cs.AI2026

Evidence-Grounded AI for Musculoskeletal Care

Wenjie Li, Yujie Zhang, Fanrui Zhang +34

Musculoskeletal diseases are among the leading causes of disability and drive the greatest global need for rehabilitation. Because recovery, remodelling and degeneration of bones,…

cs.AI2026

A Self-Evolving Agentic System for Automated Generation and Execution of Biological Protocols

Yankai Jiang, Weiting Tang, Haoran Sun +11

Autonomous wet-lab experimentation requires more than plausible protocol text: biological intent, quantitative procedures, device constraints and experimental feedback must remain…

cs.AI2026

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory

Haoran Sun, Wenjie Li, Yujie Zhang +8

Medical agent systems are increasingly expected to support interactive clinical decision making rather than only static question answering. In such settings, effective agents must…

cs.CV2026

VITAL: Visual-Semantic Dual Supervision for Enhanced and Interpretable Latent Reasoning in Medical MLLMs

Qiaoru Li, Shaotian Liang, Jintao Chen +4

Latent reasoning enables reasoning over continuous hidden states rather than explicit tokens, avoiding the language bottleneck and inference overhead of chain-of-thought for medica…

cs.AI2026

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

Lisheng Zhang, Lilong Wang, Xiangyu Sun +14

Computational drug discovery, particularly the complex workflows of drug molecule screening and optimization, requires orchestrating dozens of specialized tools in multi-step workf…

cs.AI2026

Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning

Jiaxuan Lu, Ziyu Kong, Yemin Wang +10

The central challenge of AI for Science is not reasoning alone, but the ability to create computational methods in an open-ended scientific world. Existing LLM-based agents rely on…

cs.AI2025

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents

Yankai Jiang, Wenjie Lou, Lilong Wang +17

We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built…