Zobrazeno 1 - 10
of 2 823
pro vyhledávání: '"An, Songhao"'
Autor:
Han, Songhao, Huang, Wei, Shi, Hairong, Zhuo, Le, Su, Xiu, Zhang, Shifeng, Zhou, Xu, Qi, Xiaojuan, Liao, Yue, Liu, Si
The advancement of Large Vision Language Models (LVLMs) has significantly improved multimodal understanding, yet challenges remain in video reasoning tasks due to the scarcity of high-quality, large-scale datasets. Existing video question-answering (
Externí odkaz:
http://arxiv.org/abs/2411.14794
Autor:
Liu, Xuefeng, Jiang, Songhao, Duan, Xiaotian, Vasan, Archit, Liu, Chong, Tien, Chih-chan, Ma, Heng, Brettin, Thomas, Xia, Fangfang, Foster, Ian T., Stevens, Rick L.
Protein-ligand binding is the process by which a small molecule (drug or inhibitor) attaches to a target protein. The binding affinity, which refers to the strength of this interaction, is central to many important problems in bioinformatics such as
Externí odkaz:
http://arxiv.org/abs/2410.00709
Autor:
Tan, Tao, Qian, Yining, Lv, Ang, Lin, Hongzhan, Wu, Songhao, Wang, Yongbo, Wang, Feng, Wu, Jingtong, Lu, Xin, Yan, Rui
Large language models (LLMs) enhanced with retrieval-augmented generation (RAG) have introduced a new paradigm for web search. However, the limited context awareness of LLMs degrades their performance on RAG tasks. Existing methods to enhance context
Externí odkaz:
http://arxiv.org/abs/2409.19745
The LiDAR-based 3D object detector that strikes a balance between accuracy and speed is crucial for achieving real-time perception in autonomous driving and robotic navigation systems. To enhance the accuracy of point cloud detection, integrating glo
Externí odkaz:
http://arxiv.org/abs/2409.11018
Trajectory generation in dynamic environments presents a significant challenge for quadrotors, particularly due to the non-convexity in the spatial-temporal domain. Many existing methods either assume simplified static environments or struggle to pro
Externí odkaz:
http://arxiv.org/abs/2409.10647
Autor:
Yao, Liuquan, Liu, Songhao
In this paper, some new upper bounds for Kullback-Leibler divergence(KL-divergence) based on $L^1, L^2$ and $L^\infty$ norms of density functions are discussed. Our findings unveil that the convergence in KL-divergence sense sandwiches between the co
Externí odkaz:
http://arxiv.org/abs/2409.00934
Knowledge graphs (KGs) are essential in applications such as network alignment, question-answering, and recommender systems (RSs) since they offer structured relational data that facilitate the inference of indirect relationships. However, the develo
Externí odkaz:
http://arxiv.org/abs/2407.19643
The objective of drug discovery is to identify chemical compounds that possess specific pharmaceutical properties toward a binding target. Existing large language models (LLMS) can achieve high token matching scores in terms of likelihood for molecul
Externí odkaz:
http://arxiv.org/abs/2406.07025
Crowd navigation has received significant research attention in recent years, especially DRL-based methods. While single-robot crowd scenarios have dominated research, they offer limited applicability to real-world complexities. The heterogeneity of
Externí odkaz:
http://arxiv.org/abs/2403.10083
Autor:
Shi, Hairong, Han, Songhao, Huang, Shaofei, Liao, Yue, Li, Guanbin, Kong, Xiangxing, Zhu, Hua, Wang, Xiaomu, Liu, Si
Tumor lesion segmentation on CT or MRI images plays a critical role in cancer diagnosis and treatment planning. Considering the inherent differences in tumor lesion segmentation data across various medical imaging modalities and equipment, integratin
Externí odkaz:
http://arxiv.org/abs/2403.05912