Zobrazeno 1 - 10
of 9 647
pro vyhledávání: '"Cheng, Zhi"'
Autor:
Cheng, Zhi-Qi, Dong, Yifei, Shi, Aike, Liu, Wei, Hu, Yuzhi, O'Connor, Jason, Hauptmann, Alexander, Whitefoot, Kate
The electric vehicle (EV) battery supply chain's vulnerability to disruptions necessitates advanced predictive analytics. We present SHIELD (Schema-based Hierarchical Induction for EV supply chain Disruption), a system integrating Large Language Mode
Externí odkaz:
http://arxiv.org/abs/2408.05357
Autor:
Zhuang, Shi-Chang, Li, Bo, Zheng, Ming-Yang, Zeng, Yi-Xi, Wu, Hui-Nan, Li, Guang-Bing, Yao, Quan, Xie, Xiu-Ping, Li, Yu-Huai, Qin, Hao, You, Li-Xing, Xu, Fei-Hu, Yin, Juan, Cao, Yuan, Zhang, Qiang, Peng, Cheng-Zhi, Pan, Jian-Wei
The entangled photons are crucial resources for quantum communications and networking. Here, we present an ultra-bright polarization-entangled photon source based on a periodically poled lithium niobate waveguide designed for practical quantum commun
Externí odkaz:
http://arxiv.org/abs/2408.04361
Autor:
Li, Zekai, Guo, Ziyao, Zhao, Wangbo, Zhang, Tianle, Cheng, Zhi-Qi, Khaki, Samir, Zhang, Kaipeng, Sajedi, Ahmad, Plataniotis, Konstantinos N, Wang, Kai, You, Yang
Dataset Distillation aims to compress a large dataset into a significantly more compact, synthetic one without compromising the performance of the trained models. To achieve this, existing methods use the agent model to extract information from the t
Externí odkaz:
http://arxiv.org/abs/2408.03360
Autor:
Wu, Hui-Nan, Li, Yu-Huai, Li, Bo, You, Xiang, Liu, Run-Ze, Yin, Juan, Lu, Chao-Yang, Cao, Yuan, Peng, Cheng-Zhi, Pan, Jian-Wei
Publikováno v:
Phys. Rev. Lett. 133, 020201 (2024)
The emergence of quantum mechanics and general relativity has transformed our understanding of the natural world significantly. However, integrating these two theories presents immense challenges, and their interplay remains untested. Recent theoreti
Externí odkaz:
http://arxiv.org/abs/2408.03259
In today's music industry, album cover design is as crucial as the music itself, reflecting the artist's vision and brand. However, many AI-driven album cover services require subscriptions or technical expertise, limiting accessibility. To address t
Externí odkaz:
http://arxiv.org/abs/2408.01651
Autor:
Jiang, Lei, Xu, Yu, Li, Shaowei, Yan, Zhiguang, Gong, Ming, Rong, Tao, Sun, Chenyin, Sun, Tianzuo, Jiang, Tao, Deng, Hui, Zha, Chen, Lin, Jin, Chen, Fusheng, Zhu, Qingling, Ye, Yangsen, Rong, Hao, Yan, Kai, Cao, Sirui, Li, Yuan, Guo, Shaojun, Qian, Haoran, Hu, Yisen, Wu, Yulin, Li, Yuhuai, Wu, Gang, Wang, Xueshen, Wang, Shijian, Cao, Wenhui, Wang, Yeru, Li, Jinjin, Peng, Cheng-Zhi, Zhu, Xiaobo, Pan, Jian-Wei
Frequency tunable qubit plays a significant role for scalable superconducting quantum processors. The state-of-the-art room-temperature electronics for tuning qubit frequency suffers from unscalable limit, such as heating problem, linear growth of co
Externí odkaz:
http://arxiv.org/abs/2407.21415
Autor:
Oh, Changdae, Seo, Gyeongdeok, Jung, Geunyoung, Cheng, Zhi-Qi, Choi, Hosik, Jung, Jiyoung, Song, Kyungwoo
With the surge of large-scale pre-trained models (PTMs), adapting these models to numerous downstream tasks becomes a crucial problem. Consequently, parameter-efficient transfer learning (PETL) of large models has grasped huge attention. While PETL m
Externí odkaz:
http://arxiv.org/abs/2407.17491
Autor:
He, Jun-Yan, Cheng, Zhi-Qi, Li, Chenyang, Sun, Jingdong, He, Qi, Xiang, Wangmeng, Chen, Hanyuan, Lan, Jin-Peng, Lin, Xianhui, Zhu, Kang, Luo, Bin, Geng, Yifeng, Xie, Xuansong, Hauptmann, Alexander G.
MetaDesigner revolutionizes artistic typography synthesis by leveraging the strengths of Large Language Models (LLMs) to drive a design paradigm centered around user engagement. At the core of this framework lies a multi-agent system comprising the P
Externí odkaz:
http://arxiv.org/abs/2406.19859
Autor:
Li, Minghan, Li, Heng, Cheng, Zhi-Qi, Dong, Yifei, Zhou, Yuxuan, He, Jun-Yan, Dai, Qi, Mitamura, Teruko, Hauptmann, Alexander G.
Vision-and-Language Navigation (VLN) aims to develop embodied agents that navigate based on human instructions. However, current VLN frameworks often rely on static environments and optimal expert supervision, limiting their real-world applicability.
Externí odkaz:
http://arxiv.org/abs/2406.19236
Autor:
Cheng, Zebang, Cheng, Zhi-Qi, He, Jun-Yan, Sun, Jingdong, Wang, Kai, Lin, Yuxiang, Lian, Zheng, Peng, Xiaojiang, Hauptmann, Alexander
Accurate emotion perception is crucial for various applications, including human-computer interaction, education, and counseling. However, traditional single-modality approaches often fail to capture the complexity of real-world emotional expressions
Externí odkaz:
http://arxiv.org/abs/2406.11161