1 code implementation • International World Wide Web Conference 2024 • Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
However, these works have the following limitations in modeling the high-order relationships over unlabeled data: (i) They primarily focus on maximizing the agreements among individual node embeddings while neglecting the capture of group-wise collective behaviors within hypergraphs; (ii) Most of them disregard the importance of the temperature index in discriminating contrastive pairs during contrast optimization.
1 code implementation • 2023 IEEE International Conference on Data Mining (ICDM) 2023 • Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye
To this end, we propose a novel HyperGraph Contrastive Learning framework called HyGCL-DC that employs hypergraph to model the higher-order relationships among users to detect Drug trafficking Communities.
Ranked #1 on Community Detection on Twitter-HyDrug
no code implementations • 9 Oct 2023 • Yujie Ding, Shuai Jia, Tianyi Ma, Bingcheng Mao, Xiuze Zhou, Liuliu Li, Dongming Han
However, integrating LLMs into existing quantitative models presents two primary challenges: the insufficient utilization of semantic information embedded within LLMs and the difficulties in aligning the latent information within LLMs with pre-existing quantitative stock features.
no code implementations • CVPR 2023 • Tianyi Ma, Yifan Sun, Zongxin Yang, Yi Yang
Based on these two common practices, the key point of ProD is using the prompting mechanism in the transformer to disentangle the domain-general (DG) and domain-specific (DS) knowledge from the backbone feature.
no code implementations • 12 Sep 2020 • Yaohua Bu, Weijun Li, Tianyi Ma, Shengqi Chen, Jia Jia, Kun Li, Xiaobo Lu
To provide more discriminative feedback for the second language (L2) learners to better identify their mispronunciation, we propose a method for exaggerated visual-speech feedback in computer-assisted pronunciation training (CAPT).
no code implementations • 20 Jan 2019 • S. Zahra Razavi, Lenhart K. Schubert, Benjamin Kane, Mohammad Rafayet Ali, Kimberly Van Orden, Tianyi Ma
We address the problem of designing a conversational avatar capable of a sequence of casual conversations with older adults.