Zobrazeno 1 - 10
of 1 667
pro vyhledávání: '"Zhang Yiqun"'
Clustering complex data in the form of attributed graphs has attracted increasing attention, where appropriate graph representation is a critical prerequisite for accurate cluster analysis. However, the Graph Convolutional Network will homogenize the
Externí odkaz:
http://arxiv.org/abs/2411.14727
Generative text-to-image models, such as Stable Diffusion, have demonstrated a remarkable ability to generate diverse, high-quality images. However, they are surprisingly inept when it comes to rendering human hands, which are often anatomically inco
Externí odkaz:
http://arxiv.org/abs/2411.04332
Long-tail learning has garnered widespread attention and achieved significant progress in recent times. However, even with pre-trained prior knowledge, models still exhibit weaker generalization performance on tail classes. The promising Sharpness-Aw
Externí odkaz:
http://arxiv.org/abs/2410.21042
Competitive debate is a complex task of computational argumentation. Large Language Models (LLMs) suffer from hallucinations and lack competitiveness in this field. To address these challenges, we introduce Agent for Debate (Agent4Debate), a dynamic
Externí odkaz:
http://arxiv.org/abs/2408.04472
Personalized Federated Learning (PFL) aims to acquire customized models for each client without disclosing raw data by leveraging the collective knowledge of distributed clients. However, the data collected in real-world scenarios is likely to follow
Externí odkaz:
http://arxiv.org/abs/2408.02019
Autor:
Zhang, Yiqun, Yang, Xiaocui, Xu, Xingle, Gao, Zeran, Huang, Yijie, Mu, Shiyi, Feng, Shi, Wang, Daling, Zhang, Yifei, Song, Kaisong, Yu, Ge
Affective Computing (AC), integrating computer science, psychology, and cognitive science knowledge, aims to enable machines to recognize, interpret, and simulate human emotions.To create more value, AC can be applied to diverse scenarios, including
Externí odkaz:
http://arxiv.org/abs/2408.04638
Autor:
Chen, Wenjie, Yang, Qi, Liu, Qi, Zhang, Yiqun, He, Liang, Xia, Yuanlin, Wang, Zhuqing, Huang, Yubo, Chen, Jianfeng, Xia, Cao
For traditional capacitive pressure sensors, high nonlinearity and poor sensitivity greatly limited their sensing applications. Hence, an innovative design of capacitors based on spiral comb electrodes is proposed for high-sensitivity pressure detect
Externí odkaz:
http://arxiv.org/abs/2407.08559
Streaming data clustering is a popular research topic in the fields of data mining and machine learning. Compared to static data, streaming data, which is usually analyzed in data chunks, is more susceptible to encountering the dynamic cluster imbala
Externí odkaz:
http://arxiv.org/abs/2404.09243
Autor:
Liu, Yongkang, Zhang, Yiqun, Li, Qian, Liu, Tong, Feng, Shi, Wang, Daling, Zhang, Yifei, Schütze, Hinrich
Full-parameter fine-tuning has become the go-to choice for adapting language models (LMs) to downstream tasks due to its excellent performance. As LMs grow in size, fine-tuning the full parameters of LMs requires a prohibitively large amount of GPU m
Externí odkaz:
http://arxiv.org/abs/2401.15207
Autor:
Zhang, Yiqun, Kong, Fanheng, Wang, Peidong, Sun, Shuang, Wang, Lingshuai, Feng, Shi, Wang, Daling, Zhang, Yifei, Song, Kaisong
Publikováno v:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7707-7733, Bangkok, Thailand, August 2024
Stickers, while widely recognized for enhancing empathetic communication in online interactions, remain underexplored in current empathetic dialogue research, notably due to the challenge of a lack of comprehensive datasets. In this paper, we introdu
Externí odkaz:
http://arxiv.org/abs/2402.01679