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2020 – today
- 2026
[i3]Chenxi Wang, Zhuoyun Yu, Xin Xie, Wuguannan Yao, Runnan Fang, Shuofei Qiao, Kexin Cao, Guozhou Zheng, Xiang Qi, Peng Zhang, Shumin Deng:
SkillX: Automatically Constructing Skill Knowledge Bases for Agents. CoRR abs/2604.04804 (2026)- [i2]Xin Xie, Dongyun Xue, Wuguannan Yao, Mingxiao Feng, Wengang Zhou, Xiang Qi, Houqiang Li, Peng Zhang:
SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval. CoRR abs/2604.14712 (2026) - 2022
- [j1]Yufei Cui
, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1492-1506 (2022) - 2021
- [c3]Bo Xiao, Wuguannan Yao, Xiang Zhou:
Optimal Option Hedging with Policy Gradient. ICDM (Workshops) 2021: 1112-1119 - 2020
- [c2]Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue:
Fully Nested Neural Network for Adaptive Compression and Quantization. IJCAI 2020: 2080-2087 - [c1]Wuguannan Yao, Wonjung Lee, Junhui Wang:
Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space. ECML/PKDD (4) 2020: 546-561
2010 – 2019
- 2019
- [i1]Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. CoRR abs/1905.12194 (2019)
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