Chem-SDI: Segmentation, detection, and inference model for AI robotic chemists in automated liquid-liquid extraction workflow
Xun Fu, Haopeng Wang, Wusheng Peng, Yugang Chen, Lizhu Dong, Shuangyi Li, et al.
7 papers indexed
Xun Fu, Haopeng Wang, Wusheng Peng, Yugang Chen, Lizhu Dong, Shuangyi Li, et al.
Zia Ul Hassan, Jiaping Su, Dianchang Wang, Lihua Tang, Yukun Hou, Wei Huang, et al.
Accurate calibration of urban drainage models is critical for reliable stormwater management. This study applies the OSTRICH-SWMM framework, which integrates the Storm Water Management Model (SWMM) with multiple parallel optimization algorithms, to systematically evaluate calibra…
Chenyu Zhou, Yabin Peng, Wei Huang, Kunlin Li, Shuaishuai Zhang, Xinyuan Miao
Federated Graph Neural Networks (FedGNNs) are highly vulnerable to backdoor poisoning, yet existing defenses typically rely on rule-based approaches that lack semantic understanding, making them vulnerable to stealthy triggers and harmful to benign structures. To solve this, we p…
Xu Hou, Meiyu Liang, Wei Huang, Yawen Li, Zhe Xue, Wu Liu, et al.
Multimodal Knowledge Graph Completion (MKGC) requires inferring missing entities from structural, textual, and visual cues. Existing diffusion-based MKGC methods usually denoise directly on raw multimodal features. Such a design forces the denoiser to simultaneously perform relat…
Jek Huang, Jeffery Hsia, Jiayi Sun, Freddie Shi, Wei Huang, Ian H. White
Autonomous coding agents increasingly execute multi-step software work, but lifecycle states such as reviewed, tested, DONE, and ready-to-merge remain claims unless supported by current evidence. We present Proof-or-Stop Lifecycle Control, a method that permits lifecycle transiti…
Lei Iok Tong, Qingchen Xie, Wei Huang, Ying Jie Yap, Yujie Zhang, Qianzhi Li, et al.
Large Vision-Language Models (LVLMs) have shown strong multimodal understanding and spatial grounding, but their computational cost limits real-time robotic control. In contrast, lightweight models are suitable for edge deployment but often suffer from "spatial blindness", namely…
Yu Yao, Huanjian Zhou, Andi Han, Wei Huang, Masashi Sugiyama
Discrete diffusion models are widely used for learning and generating discrete distributions. As the generation process is inherently sequential, the acceleration of sampling is of significant importance. In this work, we parallelize the mainstream $τ$-leaping algorithm for absor…