11 papers indexed
Munkhbaatar Buuveibaatar, Judith Fauth, Linjun Lu, Yuandong Pan, Varun Kumar Reja, Shirin Malihi, et al.
The Future Roads Fellowship Programme (FUTUREROADS) is a £6.3 million international research and training initiative led by the University of Cambridge to support the digital and sustainable transformation of road infrastructure. Running over five years, the programme brings toge…
Xiang Chen, Hao Li, Jiangxin Dong, Jinshan Pan, Xin Li, Hongbo Ding, et al.
This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-world degradation conditions, including blur, low-light, haze, rain, and snow. It provides a common be…
Ziyang Zhang, Jie Liu, Luca Mottola
Modern satellite edge systems, including those performing remote sensing tasks such object detection and tracking, are characterized by severely limited bandwidth and intermittent connections, making continuous data transmission to the cloud impractical. Existing edge-cloud syste…
Jie Liu, Yue Wang, Danping Zeng, Xiaowen Mao, Yunyun Yu, Huijun Feng, et al.
Qiuyi Qi, Jinjian Zhang, Mutian Bao, Tian Liang, Guocong Li, Dongnan Liu, et al.
Despite their strong reasoning capabilities and extensive world knowledge, Large Language Models (LLMs) frequently generate plans that violate task constraints, undermining their reliability in real-world applications. This deficiency arises from a lack of systematic mechanisms t…
Qiuyi Qi, Tian Liang, Mutian Bao, Jinjian Zhang, Dongnan Liu, Wei Zhou, et al.
Reinforcement Learning (RL) is the dominant paradigm for training Large Language Model (LLM) agents on long-horizon tasks. However, sparse and delayed rewards often lead to trajectory neglect, in which agents lose focus on the task goal and interaction history at intermediate ste…
Shuai Li, Qinglin Wang, Ping Luo, Jiahuan Wang, Hongyang Hu, Haotian Mo, et al.
Federated Transformer training increasingly relies on local AdamW, whose adaptive updates can provide much stronger local progress than SGD-based training. However, under heterogeneous client data, even globally corrected AdamW updates may remain highly uneven in coordinate-wise…
Feng Yang, Jie Liu, Yubo Pang, Peilin Chen, Xinheng Lyu, Shiqi Wang, et al.
Automated pathology report generation from Whole Slide Images (WSIs) has attracted increasing attention in digital pathology. However, existing methods are predominantly developed under single-organ settings, overlooking the multi-organ scenarios encountered in clinical practice,…
Xingran Guo, Tiaojie Xiao, Jie Liu, Keqin Li
Simulating two-dimensional frustrated quantum matter is a grand challenge due to the sign problem and exponential Hilbert space complexity. In this work, we introduce the Holographic Quantum Transformer (HQT), a physics-inspired generative architecture that leverages global self-…
Xiaoqing Wang, Miao Bai, Shuoyang Wang, Hongjia Qian, Jie Liu, Wenke Feng, et al.
The impairment of neural crest cells (NCCs) plays a pivotal role in the pathogenesis of fetal alcohol spectrum disorders (FASD). Epigenetic regulators mediate ethanol-induced disruptions in NCC development and represent promising targets for nutritional interventions. Here, we de…
Sijiang Ma, Jin Ning, Ning Mao, Jie Liu, Ruifeng Shi
To achieve global sustainability goals and meet the urgent demands of carbon neutrality, China is continuously transforming its energy structure. In this process, electric vehicles (EVs) are playing an increasingly important role in energy transition and have become one of the pr…