1 code implementation • ACL 2022 • Yiwen Zhang, Caixia Yuan, Xiaojie Wang, Ziwei Bai, Yongbin Liu
Generalized zero-shot text classification aims to classify textual instances from both previously seen classes and incrementally emerging unseen classes.
no code implementations • 15 May 2024 • Yi Zhang, Lei Sang, Yiwen Zhang
To counter the sparsity of implicit feedback, the feature distributions of users and items are encoded via a Gaussian-based graph generation strategy, and we implement the recommendation process through bilateral intent-guided graph reconstruction re-sampling.
no code implementations • 8 May 2024 • Wenjie Chen, Yi Zhang, Honghao Li, Lei Sang, Yiwen Zhang
The embedding-space collaborative denoising module devotes to resisting the noise cross-domain diffusion problem through contrastive learning with dual-domain embedding collaborative perturbation.
1 code implementation • 6 May 2024 • Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang
Specifically, the framework employs the SSEM at the bottom of the model to differentiate between samples, thereby assigning a more suitable encoder for each sample.
Ranked #1 on Click-Through Rate Prediction on Frappe
no code implementations • 3 Apr 2024 • Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang
3) A hierarchical contrastive learning strategy for capturing local and global information.
1 code implementation • 26 Jan 2024 • Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence.
1 code implementation • 15 Dec 2023 • Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang, Yiwen Zhang
Click-through rate (CTR) Prediction is a crucial task in personalized information retrievals, such as industrial recommender systems, online advertising, and web search.
Ranked #4 on Click-Through Rate Prediction on Avazu
no code implementations • 13 Dec 2023 • Jiachen Liu, Fan Lai, Ding Ding, Yiwen Zhang, Mosharaf Chowdhury
Scheduling edge resources among multiple FL jobs is different from GPU scheduling for cloud ML because of the ephemeral nature and planetary scale of participating devices as well as the overlapping resource requirements of diverse FL jobs.
1 code implementation • 28 Jun 2023 • Yiwen Zhang, Chuanpu Li, Liming Zhong, Zeli Chen, Wei Yang, Xuetao Wang
Treatment planning, which is a critical component of the radiotherapy workflow, is typically carried out by a medical physicist in a time-consuming trial-and-error manner.
1 code implementation • 20 Apr 2023 • Hui Dou, Shanshan Zhu, Yiwen Zhang, Pengfei Chen, Zibin Zheng
Besides, experiments with different training datasets, different optimization objectives and different machine learning platforms verify that HyperTuner can well adapt to various data analytic service scenarios.
2 code implementations • 16 Apr 2023 • Yikang Liu, Ziyin Zhang, Wanyang Zhang, Shisen Yue, Xiaojing Zhao, Xinyuan Cheng, Yiwen Zhang, Hai Hu
To address these challenges in English language teaching, we first present ArguGPT, a balanced corpus of 4, 038 argumentative essays generated by 7 GPT models in response to essay prompts from three sources: (1) in-class or homework exercises, (2) TOEFL and (3) GRE writing tasks.
1 code implementation • Findings (ACL) 2021 • Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie, Kyle Richardson
These results, however, come with important caveats: cross-lingual models often perform best when trained on a mixture of English and high-quality monolingual NLI data (OCNLI), and are often hindered by automatically translated resources (XNLI-zh).
no code implementations • 29 Apr 2021 • Dengcheng Yan, Youwen Zhang, Wei Li, Yiwen Zhang
Signed network embedding is an approach to learn low-dimensional representations of nodes in signed networks with both positive and negative links, which facilitates downstream tasks such as link prediction with general data mining frameworks.
no code implementations • 29 Apr 2021 • Dengcheng Yan, Wenxin Xie, Yiwen Zhang, Qiang He, Yun Yang
Network dismantling aims to degrade the connectivity of a network by removing an optimal set of nodes.
1 code implementation • 11 Mar 2021 • Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
Causal Learner is a toolbox for learning causal structure and Markov blanket (MB) from data.
no code implementations • 11 Mar 2021 • Dengcheng Yan, Wenxin Xie, Yiwen Zhang
Then, users' interests in each item from each pair of related meta-paths are calculated by a combination of the user and item representations.
no code implementations • 10 Mar 2021 • Dengcheng Yan, Zijian Wu, Yiwen Zhang
However, conventional network dismantling approaches focus on simple network which models only pairwise interaction between nodes while groupwise interactions among arbitrary number of nodes are ubiquitous in networked systems like integrated circuits.
Social and Information Networks Physics and Society
no code implementations • 10 Mar 2021 • Dengcheng Yan, Tianyi Tang, Wenxin Xie, Yiwen Zhang, Qiang He
With the increase of complexity of modern software, social collaborative coding and reuse of open source software packages become more and more popular, which thus greatly enhances the development efficiency and software quality.
3 code implementations • COLING 2020 • Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan
The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks.
2 code implementations • MIDL 2019 • Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Gaoxiang Chen, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
The \emph{second contribution} is that we systematically evaluated five benchmark methods on two representative public datasets.
no code implementations • WS 2019 • Hai Hu, Wen Li, He Zhou, Zuoyu Tian, Yiwen Zhang, Liang Zou
This paper describes the IUCL system at VarDial 2019 evaluation campaign for the task of discriminating between Mainland and Taiwan variation of mandarin Chinese.
no code implementations • 11 Mar 2018 • Hai Hu, Yiwen Zhang
He and Rao (2013) reported a raising phenomenon of /a/ in /Xan/ (X being a consonant or a vowel) in Chengdu dialect of Mandarin, i. e. /a/ is realized as [epsilon] for young speakers but [ae] for older speakers, but they offered no acoustic analysis.