Dong Liu

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents

Eric Hanchen Jiang, Zhi Zhang, Yuchen Wu, Levina Li, Dong Liu, Xiao Liang, et al.

Large Language Model (LLM) agents increasingly rely on external memory systems to accumulate experience across tasks. Yet nearly all existing approaches, from graph-structured memories to reflective insight stores, access memory through fixed, hand-designed heuristics. We argue t…Read more

RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification

Yanxuan Yu, Dong Liu, Eric Jiang, Shu Wang, Wenxiao Zhao, Jinxi Yu, et al.

Class imbalance poses a fundamental challenge in risk-sensitive applications such as fraud detection and medical diagnosis, where minority-class samples are scarce yet critical for accurate classification. Existing oversampling methods generate synthetic samples to rebalance clas…Read more

From Textural Counterpoint to Feature Encoding: A Multi-Dimensional Machine Representation Study of Haydn's "The Lark" Integrating Electroacoustic Analysis

Yakun Liu, Zhiyu Jin, Hai Luan, Dong Liu, Xiaonan Li

Chamber music, as a highly precise multi-part interactive system, contains a logic of "role assignment and dynamic interaction" that provides an extremely valuable blueprint for exploring human-computer collaborative composition paradigms. Addressing the lack of role perception c…Read more

Accelerating Merge with Motion Vector Difference via Filter Difference Analysis for VVenC

Xinmin Feng, Shengyang Xu, Jianhua Chen, Li Li, Dong Liu, Feng Wu

Merge with Motion Vector Difference (MMVD) is a key coding tool in Versatile Video Coding for improving motion prediction accuracy. However, its exhaustive search strategy imposes a significant computational burden on the encoder. To address this issue, we propose a novel fast MM…Read more

Vision-Language Procedural Reasoning for Context-Aware Reward Modeling of Robotic Endovascular Guidewire Navigation

Wentong Tian, Jiyuan Zhao, Tianliang Yao, Yuxiang Fan, Zhengyu Shi, Dong Liu, et al.

Robotic-assisted endovascular interventions demand accurate, stable, and context-aware guidewire navigation in complex and patient-specific vascular anatomies. Despite recent advances in robotic precision and learning-based control, existing autonomous navigation methods remain l…Read more

Identification of metal additives in nanofluid flames via multimodal deep learning with fusion of flame images and hyperspectral images

Jiaying He, Runtian Yu, Yao Ying, Dong Liu