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2024-07-14 星期日

A308

08:30-10:10 | Invited Session IS029: Interface of Functional Data Analysis and Dynamic Models
编号 时间 类型 题目 讲者 单位
1 08:30-08:55 邀请报告

Privacy-Preserving Community Detection for Locally Distributed Multiple Networks

Shujie Ma University of California, Riverside
2 08:55-09:20 邀请报告

Dynamic Models Augmented by Hierarchical Data

Le Bao The Pennsylvania State University
3 09:20-09:45 邀请报告

An SPDE Approach to Variational Inference for Log-Gaussian Cox Process

张楠 复旦大学
10:30-12:10 | Invited Session IS010: Data Privacy and Statistical Modeling
编号 时间 类型 题目 讲者 单位
1 10:30-10:55 邀请报告

Learning from Vertically Distributed Data across Multiple Sites: An Efficient Privacy-Preserving Algorithm for Cox Proportional Hazards Model with Variable Selection

Samuel Wu University of Florida
2 10:55-11:20 邀请报告

New Composite Score to Detect Disease Progression in Alzheimer's Disease

Guogen Shan University of Florida
3 11:20-11:45 邀请报告

Differentially Private Data Collection with Matrix Masking

Adam Ding Northeastern University
4 11:45-12:10 邀请报告

Joint Modeling in Presence of Informative Censoring on the Retrospective Time Scale with Application to Palliative Care Research

Zhigang Li University of Florida
14:00-15:40 | Contributed Session CS037:Recent Advances in Quantile Regression
编号 时间 类型 题目 讲者 单位
1 14:00-14:20 贡献报告

Model Averaging Based Semiparametric Modelling for Conditional Quantile Prediction

郭朝会 重庆师范大学
2 14:20-14:40 贡献报告

Bootstrapping the Double-Weighted Predictability Test for Predictive Quantile Regression

刘小惠 江西财经大学
3 14:40-15:00 贡献报告

Recent Developments of A General Minimum Lower-Order Confounding Criterion

李智明 新疆大学
4 15:00-15:20 贡献报告

Enhancing the Power of OOD Detection via Sample-Aware Model Selection

谭发龙 湖南大学
5 15:20-15:40 贡献报告

Unconditional Quantile Regression for Streaming Data Sets

姜荣 上海第二工业大学
16:00-17:40 | Contributed Session CS046:Recent Advances in Large Models and Artificial Intelligence (大模型和人工智能的最近研究)
编号 时间 类型 题目 讲者 单位
1 16:00-16:20 贡献报告

Shupai Big Model Platform (A Large Model Platform Based on Ai Computing Power Management, Helping You Create Private Large Models In 30 Minutes) 数派大模型平台(一款基于基于AI算力管理的大模型平台,帮您30分钟创建私有大模型)

廖结义 云南数派数据科技有限公司
2 16:20-16:40 贡献报告

Computing Power Drive, Data Empowerment, Build a New Pattern of Digital Economy Development 算力驱动,数据赋能,构建数字经济发展新格局

Qiqiang Fan Yunnan Provincial Digital Economy Industry Investment Group Co., Ltd
3 16:40-17:00 贡献报告

Application Practice and Reflection of Artificial Intelligence Technology in Life Sciences 人工智能技术在生命科学的应用实践及思考

高跃东 中国科学院昆明动物研究所
4 17:00-17:20 贡献报告

Industry Empowerment Based on the Nine Day Model 基于九天大模型的行业赋能

燕晨 中国移动通信研究院
5 17:20-17:40 贡献报告

Ascending AI Accelerates the Deepening of Artificial Intelligence Towards Reality 昇腾AI加速人工智能走深向实

杨志鹏 华为云南