Travel: SDM2022 Student Travel Grant
旅行:SDM2022 学生旅行补助金
基本信息
- 批准号:2213055
- 负责人:
- 金额:$ 3.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-06-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The SIAM International Conference on Data Mining (SDM) is one of the top-tier conferences in the field of data mining. It provides a venue for researchers who are addressing problems in data mining to present their work in a peer-reviewed forum. The 2022 SIAM International Conference on Data Mining (SDM 2022) is being organized by the Society for Industrial and Applied Mathematics (SIAM) in cooperation with the American Statistical Association. SDM 2022 will be held in Alexandria, Virginia, USA from April 28 to April 30, 2022. Funds will provide travel support for approximately 30 graduate students from universities in the United States to participate in a Ph.D. student forum that is to be held as part of SDM 2022.The SIAM International Conference on Data Mining (SDM) provides a venue for researchers who are addressing problems in data mining to present their work in a peer-reviewed forum. Each student participant will be assigned a senior researcher to serve as a mentor on a variety of career-related issues and they also can attend the technical sessions, plenary talks, and tutorials and workshops at the conference to touch the frontier of data mining research. The student forum consists of a poster session for Ph.D. candidates in data mining or closely related areas or Ph.D. students who have made significant progress towards Ph.D. candidacy. The doctoral student forum participants will be able to present their work, interact with their peers from other universities as well as hundreds of leading researchers in data mining from around the world. To enhance doctoral student participation and to recognize outstanding dissertation research in data mining being conducted by Ph.D. students, SDM 2022 will have awards for the best posters presented at the SDM 2022 Doctoral Student Forum.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
SIAM International Conference on Data Mining(SDM)是数据挖掘领域的顶级会议之一。它为那些正在解决数据挖掘问题的研究人员提供了一个场所,以便在同行评审的论坛上展示他们的工作。 2022年SIAM数据挖掘国际会议(SDM 2022)由工业与应用数学学会(SIAM)与美国统计协会合作组织。SDM 2022将于2022年4月28日至4月30日在美国弗吉尼亚州亚历山大市举行。资金将为来自美国大学的大约30名研究生提供旅费支持,以参加一个博士学位课程。作为SDM 2022的一部分举行的学生论坛。SIAM数据挖掘国际会议(SDM)为正在解决数据挖掘问题的研究人员提供了一个场所,以便在同行评审的论坛上展示他们的工作。每个学生参与者将被分配一名高级研究员作为各种职业相关问题的导师,他们也可以参加会议的技术会议,全体会议,教程和研讨会,以触及数据挖掘研究的前沿。学生论坛包括一个海报会议博士。在数据挖掘或密切相关的领域或博士学位的候选人取得博士学位的学生。候选人资格博士生论坛的参与者将能够展示他们的工作,与来自其他大学的同行以及来自世界各地的数百名数据挖掘领域的领先研究人员进行互动。提高博士生的参与度,并表彰博士生在数据挖掘方面的杰出论文研究。学生,SDM 2022将在SDM 2022博士生论坛上颁发最佳海报奖。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Jiliang Tang其他文献
DeepRobust: a Platform for Adversarial Attacks and Defenses
DeepRobust:对抗性攻击和防御的平台
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Yaxin Li;Wei Jin;Han Xu;Jiliang Tang - 通讯作者:
Jiliang Tang
Graph Trend Networks for Recommendations
用于推荐的图趋势网络
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Wenqi Fan;Xiaorui Liu;Wei Jin;Xiangyu Zhao;Jiliang Tang;Qing Li - 通讯作者:
Qing Li
Social Media Data Integration for Community Detection
用于社区检测的社交媒体数据集成
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Jiliang Tang;Xufei Wang;Huan Liu - 通讯作者:
Huan Liu
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
一种基于语义的鲁棒抗释义大型语言模型水印
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Jie Ren;Han Xu;Yiding Liu;Yingqian Cui;Shuaiqiang Wang;Dawei Yin;Jiliang Tang - 通讯作者:
Jiliang Tang
Aligning large language models and geometric deep models for protein representation
将大型语言模型和几何深度学习模型用于蛋白质表征的整合(或对齐,需根据具体语境确定更准确的意思)
- DOI:
10.1016/j.patter.2025.101227 - 发表时间:
2025-05-09 - 期刊:
- 影响因子:7.400
- 作者:
Dong Shu;Bingbing Duan;Kai Guo;Kaixiong Zhou;Jiliang Tang;Mengnan Du - 通讯作者:
Mengnan Du
Jiliang Tang的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Jiliang Tang', 18)}}的其他基金
III:Medium:Computation and Communication Efficient Distributed Learning
III:中:计算与通信高效分布式学习
- 批准号:
2212032 - 财政年份:2022
- 资助金额:
$ 3.9万 - 项目类别:
Standard Grant
Collaborative Research: III: Medium: Graph Neural Networks for Heterophilous Data: Advancing the Theory, Models, and Applications
合作研究:III:媒介:异质数据的图神经网络:推进理论、模型和应用
- 批准号:
2212144 - 财政年份:2022
- 资助金额:
$ 3.9万 - 项目类别:
Standard Grant
III: Medium: Collaborative Research: Towards Scalable and Interpretable Graph Neural Networks
III:媒介:协作研究:迈向可扩展和可解释的图神经网络
- 批准号:
1955285 - 财政年份:2020
- 资助金额:
$ 3.9万 - 项目类别:
Standard Grant
III: Small: Collaborative Research: Effective Labeled Data Generation via Generative Adversarial Learning
III:小:协作研究:通过生成对抗性学习有效生成标记数据
- 批准号:
1907704 - 财政年份:2019
- 资助金额:
$ 3.9万 - 项目类别:
Continuing Grant
CAREER: Real-World Networks: Modeling and Analysis of Signed Networks with Positive and Negative Links
职业:现实世界网络:具有正向和负向链接的签名网络的建模和分析
- 批准号:
1845081 - 财政年份:2019
- 资助金额:
$ 3.9万 - 项目类别:
Continuing Grant
III: Small: Unsupervised Feature Selection in the Era of Big Data
III:小:大数据时代的无监督特征选择
- 批准号:
1714741 - 财政年份:2017
- 资助金额:
$ 3.9万 - 项目类别:
Standard Grant
III: Small: Collaborative Research: A General Feature Learning Framework for Dynamic Attributed Networks
III:小:协作研究:动态属性网络的通用特征学习框架
- 批准号:
1715940 - 财政年份:2017
- 资助金额:
$ 3.9万 - 项目类别:
Standard Grant
Student Activities Support at 2017 SIAM International Conference on Data Mining (SDM)
2017 SIAM 国际数据挖掘会议 (SDM) 学生活动支持
- 批准号:
1719275 - 财政年份:2017
- 资助金额:
$ 3.9万 - 项目类别:
Standard Grant