Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. - Yao Yao 006; Li Xiao 009; Zhicheng An; Wanpeng Zhang 002; Dijun Luo (CoRR, 2021)

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. - Xiaoyan Cao; Yao Yao 006; Lanqing Li; Wanpeng Zhang 002; Zhicheng An; Zhong Zhang; Shihui Guo; Li Xiao 009; Xiaoyu Cao; Dijun Luo (CoRR, 2021)

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. - Xiaoyan Cao; Yao Yao 006; Lanqing Li; Wanpeng Zhang 002; Zhicheng An; Zhong Zhang; Li Xiao 009; Shihui Guo; Xiaoyu Cao; Meihong Wu; Dijun Luo (AAAI, 2022)

Data-driven Procurement Optimization in Fresh Food Distribution Market under Demand Uncertainty: A Two-stage Stochastic Programming Approach. - Lu Xu; Xinglu Liu; Li Xiao 009; Qiruyi Zuo; Jianfeng Liu; Wai Kin Victor Chan (IEEM, 2022)

The Three-dimensional Bin Packing Problem for Deformable Items. - Qiruyi Zuo; Xinglu Liu; Lu Xu; Li Xiao 009; Chengyin Xu; Jianfeng Liu; Wai Kin Victor Chan (IEEM, 2022)

CLS: Cross Labeling Supervision for Semi-Supervised Learning. - Yao Yao 006; Junyi Shen; Jin Xu; Bin Zhong; Li Xiao 009 (CoRR, 2022)

i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems. - Yao Yao 006; Bin Liu 072; Haoxun He; Dakui Sheng; Ke Wang; Li Xiao 009; Huanhuan Cao (CoRR, 2022)

CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models. - Yanyu Chen; Yao Yao 006; Wai Kin Victor Chan; Li Xiao 009; Kai Zhang 038; Liang Zhang; Yun Ye (eCom@SIGIR, 2023)