NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | invited Session |
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks |
Shujie Ma | University of California, Riverside |
2 | 08:55-09:20 | 08:55-09:20 | invited Session |
Dynamic Models Augmented by Hierarchical Data |
Le Bao | The Pennsylvania State University |
3 | 09:20-09:45 | 09:20-09:45 | invited Session |
An SPDE Approach to Variational Inference for Log-Gaussian Cox Process |
Nan Zhang | Fudan University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | invited Session |
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 | 10:55-11:20 | invited Session |
New Composite Score to Detect Disease Progression in Alzheimer's Disease |
Guogen Shan | University of Florida |
3 | 11:20-11:45 | 11:20-11:45 | invited Session |
Differentially Private Data Collection with Matrix Masking |
Adam Ding | |
4 | 11:45-12:10 | 11:45-12:10 | invited Session |
Joint Modeling in Presence of Informative Censoring on the Retrospective Time Scale with Application to Palliative Care Research |
Zhigang Li | University of Florida |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:20 | 14:00-14:20 | Contribution Session |
Model Averaging Based Semiparametric Modelling for Conditional Quantile Prediction |
Chaohui Guo | Chongqing Normal University |
2 | 14:20-14:40 | 14:20-14:40 | Contribution Session |
Bootstrapping the Double-Weighted Predictability Test for Predictive Quantile Regression |
Xiaohui Liu | Jiangxi University of Finance and Economics |
3 | 14:40-15:00 | 14:40-15:00 | Contribution Session |
Recent Developments of A General Minimum Lower-Order Confounding Criterion |
Zhiming Li | Xinjiang University |
4 | 15:00-15:20 | 15:00-15:20 | Contribution Session |
Enhancing the Power of OOD Detection via Sample-Aware Model Selection |
Falong Tan | Hunan University |
5 | 15:20-15:40 | 15:20-15:40 | Contribution Session |
Unconditional Quantile Regression for Streaming Data Sets |
Rong Jiang | Shanghai Polytechnic University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:20 | 16:00-16:20 | Contribution Session |
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) |
Jieyi Liao | Yunnan Shupai Technology Co., Ltd |
2 | 16:20-16:40 | 16:20-16:40 | Contribution Session |
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 | |
3 | 16:40-17:00 | 16:40-17:00 | Contribution Session |
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 |
Yuedong Gao | Kunming Institute of Zoology, Chinese Academy of Sciences |
4 | 17:00-17:20 | 17:00-17:20 | Contribution Session |
Industry Empowerment Based on the Nine Day Model 基于九天大模型的行业赋能 |
Chen Yan | Chinese Mobile Research Institute |
5 | 17:20-17:40 | 17:20-17:40 | Contribution Session |
Ascending AI Accelerates the Deepening of Artificial Intelligence Towards Reality 昇腾AI加速人工智能走深向实 |
Zhipeng Yang | Huawei |