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2020 – today
- 2024
[j2]Bing Yuan
, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui:
Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy 26(2): 108 (2024)- [c10]Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui:
Enhancing Distributional Stability among Sub-populations. AISTATS 2024: 2125-2133 - [c9]Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui:
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. ICML 2024 - [i9]Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui:
A Survey on Evaluation of Out-of-Distribution Generalization. CoRR abs/2403.01874 (2024) - [i8]Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu:
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. CoRR abs/2406.00661 (2024) - [i7]Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong:
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. CoRR abs/2406.01066 (2024) - 2023
- [c8]Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui:
Measure the Predictive Heterogeneity. ICLR 2023 - [i6]Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui:
Predictive Heterogeneity: Measures and Applications. CoRR abs/2304.00305 (2023) - [i5]Shuo Han, Jiacheng Liu, Jiayun Wu, Yinan Chen, Li Tao:
Transforming Graphs for Enhanced Attribute-Based Clustering: An Innovative Graph Transformer Method. CoRR abs/2306.11307 (2023) - [i4]Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui:
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. CoRR abs/2311.05054 (2023) - [i3]Bing Yuan, Zhang Jiang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui:
Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies. CoRR abs/2312.16815 (2023) - 2022
- [c7]Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui:
Distributionally Robust Optimization with Data Geometry. NeurIPS 2022 - [c6]Jiayun Wu, Tao Jia, Yansong Wang, Li Tao:
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 177-185 - [i2]Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui:
Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR abs/2206.02990 (2022) - [i1]Jiayun Wu, Tao Jia, Yansong Wang, Li Tao:
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling. CoRR abs/2211.06590 (2022) - 2021
- [j1]Shuai Liu, Jiayun Wu, Jing He:
Dynamic Multichannel Sensing in Cognitive Radio: Hierarchical Reinforcement Learning. IEEE Access 9: 25473-25481 (2021)
2010 – 2019
- 2015
- [c5]Jiayun Wu:
Real-time visual detection of early manmade fire. ICIA 2015: 993-997 - 2013
- [c4]Xiao Chen, Jiayun Wu:
Scalable compressive tracking based on motion. ROBIO 2013: 504-509 - [c3]Jiayun Wu, Daquan Chen, Rui Yi:
Real-time compressive tracking with motion estimation. ROBIO 2013: 2374-2379 - 2012
- [c2]Jiayun Wu, Kah Bin Lim:
A color grouping method for detection of object regions based on local saliency. ICARCV 2012: 1165-1169 - 2010
- [c1]Jian Xu, Jianxun Li, Jiayun Wu:
Convergence of Kalman filter with quantized innovations. ICARCV 2010: 1703-1708
Coauthor Index
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