crossrefKnowledge-Based Systems2026-08-01
ALRcallerX: Creating data-driven simulations by bridging R-based machine learning and AI-powered modeling in AnyLogic
Hang Shao, Shan-e-hyder Soomro, Xiaotao Shi, Dan Liu, Yunfei Liu, Chunpeng Bao, et al.
16 papers indexed
Hang Shao, Shan-e-hyder Soomro, Xiaotao Shi, Dan Liu, Yunfei Liu, Chunpeng Bao, et al.
Hao Tang, Shouhang Zheng, L B Yao, Qin Wang, Ning Yang, Na Luo, et al.
Introduction Wheat is the primary raw material for traditional Baijiu Daqu fermentation, yet its role as a carrier of functional microbiota and its contribution to Daqu quality remain poorly understood. Methods A total of 135 wheat samples representing five geographic regions and…
Longfei Han, Mingli Han, Wenyuan Hou, Guifeng Luo, Long Tian, M Li, et al.
Osteonecrosis of the femoral head (ONFH) is a severe and debilitating disease that substantially affects patients’ functional capacity and daily activities. Within necrotic femoral heads, immune cells, particularly macrophages, undergo phenotypic reprogramming. This phenotypic sh…
On-policy self-distillation (OPSD) offers a promising approach for training large language models without relying on a separate teacher model. However, its effectiveness on complex agentic tasks remains largely unexplored. In this work, we instantiate Feedback-Augmented Self-Dist…
Yuxuan Ren, Fan Yang, Jianhua Yao, Yatao Bian
Small molecules, crystals, and proteins all reduce to atoms in 3D space, yet their generative pipelines remain fragmented across domains, each with its Small molecules, crystals, and proteins all reduce to atoms in 3D space, yet their generative pipelines remain fragmented across…
Linhui Xiao, Guiping Cao, Mingyue Guo, Xianchao Guan, Fan Yang, Ming Tao, et al.
The rapid expansion of large-scale AI models has led to significant performance breakthroughs across diverse domains, yet it has also raised critical concerns regarding computational costs, energy consumption, and environmental sustainability. This survey provides a comprehensive…
Yuncheng Xu, Siyuan Yin, Lin Liu, Fan Yang, Xuan Zeng, Chengtao An, et al.
Efficient model order reduction for many-port resistor-capacitor (RC) networks is essential in post-layout circuit simulation. Existing high-accuracy elimination-based methods have certain limitations, such as fixed frequency points, large reduced-order models, or high reduction…
Bo Huang, Fengxiang Li, Hao Xu, Haoyang Huang, Hongyi Fu, Jinhua Hao, et al.
We present KAT-Coder-V2.5, a coding-focused agentic model trained to act autonomously inside real, executable repositories rather than as a single-turn code generator. Its capability is bottlenecked less by model scale than by the scarcity of reproducible environments, verifiable…
Zijun Li, Yimin Zhou, Jia Sun, Honglie Wang, Pengcheng Wei, Junlong Wu, et al.
Diffusion-based generative AI has achieved remarkable success in e-commerce applications such as virtual try-on, poster generation, and product background synthesis. However, when making online purchasing decisions for apparel, consumers also desire the freedom to examine specifi…
Yankai Yang, Yancheng Long, Bin Wen, Fan Yang, Tingting Gao, Han Li, et al.
Video multimodal large language models have made strong progress on open-ended video understanding, but they still lack precise local spatiotemporal perception. When two videos share almost the same global semantics and differ only in a short time span or a small region, current…
Yankai Yang, Yancheng Long, Wei Chen, Xingyu Lu, Hongyang Wei, Bin Wen, et al.
Recent online reinforcement learning has substantially improved image editing quality. However, existing Flow-GRPO-style methods usually rely on a single whole-image reward, which makes fine-grained editing optimization difficult. We observe that a key obstacle in image editing i…
Fan Yang, Xiaojuan Zhang, Zhiwen Yu
Deep learning has been broadly applied in many fields and has greatly improved efficiency compared to traditional approaches. However, it cannot resolve issues well when there are a lack of training samples, or in some varying cases, it cannot give a clear output. Human beings an…
Chunye Zhou, Chunlei Wei, Fan Yang, Jun Wei
We propose a quality control method based on machine learning neural networks to enhance the quality of high-frequency (HF) radar data. Unlike traditional quality control methods that rely on radar signals as indicators and involve extensive data manipulation in specialized softw…
Langfeng Zhu, Fan Yang, Yufan Yang, Zhaomin Xiong, Jun Wei
A machine learning neural network-based design for shipborne ADCP navigation is proposed to improve the quality of high-frequency radar measurements. In traditional inversion algorithms for HF radars, sea surface velocity is directly extracted from electromagnetic echoes without…
Yanjing Bi, Chao Li, Yannick Benezeth, Fan Yang
Computer-assisted pronunciation training (CAPT) is a helpful method for self-directed or long-distance foreign language learning. It greatly benefits from the progress, and of acoustic signal processing and artificial intelligence techniques. However, in real-life applications, e…
Xiangmeng Meng, Marcel Bachmann, Fan Yang, Michael Rethmeier
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