Zobrazeno 1 - 10
of 550
pro vyhledávání: '"Liu, Yunxin"'
Autor:
Kong, Rui, Li, Qiyang, Fang, Xinyu, Feng, Qingtian, He, Qingfeng, Dong, Yazhu, Wang, Weijun, Li, Yuanchun, Kong, Linghe, Liu, Yunxin
Recent literature has found that an effective method to customize or further improve large language models (LLMs) is to add dynamic adapters, such as low-rank adapters (LoRA) with Mixture-of-Experts (MoE) structures. Though such dynamic adapters incu
Externí odkaz:
http://arxiv.org/abs/2405.17741
Autor:
Li, Yuanchun, Wen, Hao, Wang, Weijun, Li, Xiangyu, Yuan, Yizhen, Liu, Guohong, Liu, Jiacheng, Xu, Wenxing, Wang, Xiang, Sun, Yi, Kong, Rui, Wang, Yile, Geng, Hanfei, Luan, Jian, Jin, Xuefeng, Ye, Zilong, Xiong, Guanjing, Zhang, Fan, Li, Xiang, Xu, Mengwei, Li, Zhijun, Li, Peng, Liu, Yang, Zhang, Ya-Qin, Liu, Yunxin
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have been one of the key technologies that researchers and engineers have focused on, aiming to help users efficiently obtain information and execute tasks, and pr
Externí odkaz:
http://arxiv.org/abs/2401.05459
High-definition (HD) cameras for surveillance and road traffic have experienced tremendous growth, demanding intensive computation resources for real-time analytics. Recently, offloading frames from the front-end device to the back-end edge server ha
Externí odkaz:
http://arxiv.org/abs/2312.15740
Autor:
Shin, Jaemin, Yoon, Hyungjun, Lee, Seungjoo, Park, Sungjoon, Liu, Yunxin, Choi, Jinho D., Lee, Sung-Ju
Psychiatrists diagnose mental disorders via the linguistic use of patients. Still, due to data privacy, existing passive mental health monitoring systems use alternative features such as activity, app usage, and location via mobile devices. We propos
Externí odkaz:
http://arxiv.org/abs/2310.16538
Mobile video applications today have attracted significant attention. Deep learning model (e.g. deep neural network, DNN) compression is widely used to enable on-device inference for facilitating robust and private mobile video applications. The comp
Externí odkaz:
http://arxiv.org/abs/2309.15500
Autor:
Jia, Fucheng, Jiang, Shiqi, Cao, Ting, Cui, Wei, Xia, Tianrui, Cao, Xu, Li, Yuanchun, Zhang, Deyu, Ren, Ju, Liu, Yunxin, Qiu, Lili, Yang, Mao
Web applications are increasingly becoming the primary platform for AI service delivery, making in-browser deep learning (DL) inference more prominent. However, current in-browser inference systems fail to effectively utilize advanced web programming
Externí odkaz:
http://arxiv.org/abs/2309.08978
Autor:
Wen, Hao, Li, Yuanchun, Liu, Guohong, Zhao, Shanhui, Yu, Tao, Li, Toby Jia-Jun, Jiang, Shiqi, Liu, Yunhao, Zhang, Yaqin, Liu, Yunxin
Mobile task automation is an attractive technique that aims to enable voice-based hands-free user interaction with smartphones. However, existing approaches suffer from poor scalability due to the limited language understanding ability and the non-tr
Externí odkaz:
http://arxiv.org/abs/2308.15272
Autor:
Kong, Rui, Li, Yuanchun, Feng, Qingtian, Wang, Weijun, Ye, Xiaozhou, Ouyang, Ye, Kong, Linghe, Liu, Yunxin
Mixture of experts (MoE) is a popular technique to improve capacity of Large Language Models (LLMs) with conditionally-activated parallel experts. However, serving MoE models on memory-constrained devices is challenging due to the large parameter siz
Externí odkaz:
http://arxiv.org/abs/2308.15030
Autor:
Xu, Wenxing, Li, Yuanchun, Liu, Jiacheng, Sun, Yi, Cao, Zhengyang, Li, Yixuan, Wen, Hao, Liu, Yunxin
Unlike cloud-based deep learning models that are often large and uniform, edge-deployed models usually demand customization for domain-specific tasks and resource-limited environments. Such customization processes can be costly and time-consuming due
Externí odkaz:
http://arxiv.org/abs/2308.15003
Backdoor attack is a major threat to deep learning systems in safety-critical scenarios, which aims to trigger misbehavior of neural network models under attacker-controlled conditions. However, most backdoor attacks have to modify the neural network
Externí odkaz:
http://arxiv.org/abs/2308.11822