Zobrazeno 1 - 10
of 38 373
pro vyhledávání: '"WANG, CHENG"'
Autor:
Wang, Cheng
This thesis tackles the geometric modeling of quad meshes for fabrication-aware design, with a focus on introducing planarity to the structural elements for efficient manufacturing in architectural practice. Many architectural structures can be compu
Externí odkaz:
http://hdl.handle.net/10754/690215
Autor:
Chen, Ruixuan, Wu, Yichen, Zhang, Ke, Liu, Chuxin, Chen, Yikun, Li, Wencan, Shen, Bitao, Chen, Zhaoxi, Feng, Hanke, Ge, Zhangfeng, Zhou, Yan, Tao, Zihan, Xu, Weihan, Wang, Yimeng, Cai, Pengfei, Pan, Dong, Shu, Haowen, Zhou, Linjie, Wang, Cheng, Wang, Xingjun
Light detection and ranging (LiDAR) is a ubiquitous tool to provide precise spatial awareness in various perception environments. A bionic LiDAR that can mimic human-like vision by adaptively gazing at selected regions of interest within a broad fiel
Externí odkaz:
http://arxiv.org/abs/2410.08554
Autor:
Yang, Ziqi, Peng, Zhaopeng, Wang, Zihui, Qi, Jianzhong, Chen, Chaochao, Pan, Weike, Wen, Chenglu, Wang, Cheng, Fan, Xiaoliang
Cross-domain recommendation (CDR) offers a promising solution to the data sparsity problem by enabling knowledge transfer across source and target domains. However, many recent CDR models overlook crucial issues such as privacy as well as the risk of
Externí odkaz:
http://arxiv.org/abs/2410.08249
Calibrating verbalized probabilities presents a novel approach for reliably assessing and leveraging outputs from black-box Large Language Models (LLMs). Recent methods have demonstrated improved calibration by applying techniques like Platt scaling
Externí odkaz:
http://arxiv.org/abs/2410.06707
Autor:
Peng, Zhengxing, Lainé, Antoine, Ng, Ka Chon, Hua, Mutian, Helms, Brett A., Salmeron, Miquel B., Wang, Cheng
Chemical recycling of plastics to its constituent monomers is a promising solution to develop a sustainable circular plastic economy. An in-situ X-ray absorption spectra (XAS) characterization is an important way to understand the deconstruction proc
Externí odkaz:
http://arxiv.org/abs/2410.00268
Autor:
Wei, Chuangchuang, Feng, Hanke, Ye, Kaixuan, Eijkel, Maarten, Klaver, Yvan, Chen, Zhaoxi, Keloth, Akshay, Wang, Cheng, Marpaung, David
Microwave photonics, with its advanced high-frequency signal processing capabilities, is expected to play a crucial role in next-generation wireless communications and radar systems. The realization of highly integrated, high-performance, and multifu
Externí odkaz:
http://arxiv.org/abs/2409.10227
Autor:
Dai, Yudi, Wang, Zhiyong, Lin, Xiping, Wen, Chenglu, Xu, Lan, Shen, Siqi, Ma, Yuexin, Wang, Cheng
We introduce HiSC4D, a novel Human-centered interaction and 4D Scene Capture method, aimed at accurately and efficiently creating a dynamic digital world, containing large-scale indoor-outdoor scenes, diverse human motions, rich human-human interacti
Externí odkaz:
http://arxiv.org/abs/2409.04398
The training data in large language models is key to their success, but it also presents privacy and security risks, as it may contain sensitive information. Detecting pre-training data is crucial for mitigating these concerns. Existing methods typic
Externí odkaz:
http://arxiv.org/abs/2409.03363
Tooth point cloud segmentation is a fundamental task in many orthodontic applications. Current research mainly focuses on fully supervised learning which demands expensive and tedious manual point-wise annotation. Although recent weakly-supervised al
Externí odkaz:
http://arxiv.org/abs/2409.01691
Temporal motion modeling has always been a key component in multiple object tracking (MOT) which can ensure smooth trajectory movement and provide accurate positional information to enhance association precision. However, current motion models strugg
Externí odkaz:
http://arxiv.org/abs/2409.00487