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Yuqiang Li

7 papers indexed

arxivcs.LG2026-07-31

MolGVR: A Chemistry-Grounded Framework for Text-to-Molecule Generation

Qian Tan, Xuanyu Zhu, Lei Jiang, Zhonghang Yuan, Chen Zhang, Yuqiang Li

Text-to-molecule generation is typically formulated as a one-shot sequence generation problem, where a model directly maps target descriptions to molecular representations. However, molecular descriptions often contain informative structural constraints, and violating such constr…

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arxivcs.LG2026-07-31

Adaptive FastOPD: Progress-Aware Rollout Horizon Expansion for Efficient On-Policy Distillation

Qian Tan, Huaifei Liang, Xuanyu Zhu, Lei Jiang, Yuqiang Li

On-policy distillation (OPD) provides dense teacher supervision along student-generated trajectories, but its online rollout process incurs substantial computational cost, particularly when a few long responses delay batch completion. Existing acceleration methods typically contr…

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openalexResearch in Astronomy and Astrophysics2026-07-25

Debris Evolution from Spacecraft Fragmentation in Earth-Moon Distant Retrograde Orbits

Wu Yuyan, Peng Shu, Yuqiang Li

Abstract With the rapid surge in lunar exploration and the planned expansion of cislunar infrastructure, cislunar space has become a strategic focal point for global aerospace activities. This proliferation of spacecraft heightens the risk of fragmentation events, such as uninten…

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arxivcs.CV2026-07-15

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning

Cheng Tang, Junzhi Ning, Min Cen, Wei Li, Xinyi Zeng, Pinxian Zeng, et al.

Reinforcement learning with verifiable rewards (RLVR) drives multimodal reasoning, but answer-level correctness does not guarantee that a vision-language model grounds its predictions in visual evidence. Existing visual-intervention methods contrast policy behavior on original an…

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arxivcs.LG2026-07-10

Active rejection enables reliable generalization of universal machine-learning interatomic potentials

Mingxiang Luo, Xinnan Mao, Lu Wang, Lei Bai, Feng Ding, Yuqiang Li

Universal machine learning interatomic potentials (uMLIPs) bridge quantum-mechanical accuracy and large-scale molecular dynamics, but the cost of high-accuracy calculations such as r$^2$SCAN limits training to datasets that remain small relative to the open materials space. Stron…

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arxivcs.LGcs.AI2026-06-29

Towards Generalizable and Evidential Nuclear Magnetic Resonance-Based Molecular Structure Elucidation via Large Language Model Agent

Zheng Fang, Chen Yang, Yusen Tan, Yunpeng Zhao, Fanjie Xu, Hongxin Xiang, et al.

Nuclear Magnetic Resonance (NMR) spectroscopy is the gold standard for molecular structure elucidation, yet interpreting complex spectra for unknown molecules remains a bottleneck reliant on human expertise. While artificial intelligence has advanced this field, current methods f…

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arxivcs.AI2026-06-29

SAT-RTS: A systematic framework for tactical knowledge extraction and visualization-based analysis in real-time strategy games

Chunhui Bai, Changhe Li, Yuqiang Li, Lei Liu, Shoufei Han

Efficient tactical knowledge extraction and analysis in real-time strategy (RTS) games micromanagement are constrained by the high-dimensional coupled state-action sequential data and the black-box decision-making process. Current research rarely provides a hierarchical visualiza…

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