Cell A* for Navigation of Unmanned Aerial Vehicles in Partially-known Environments. - Wenjian Hao; Rongyao Wang; Alexander Krolicki; Yiqiang Han (CoRR, 2020)

Empirical study on tangent loss function for classification with deep neural networks. - Xu Zhang 053; Wenpeng Lu; Yan Pan; Hao Wu 066; Rongyao Wang; Rui Yu 005 (Comput. Electr. Eng., 2021)

News Recommendation Via Multi-Interest News Sequence Modelling. - Rongyao Wang; Shoujin Wang; Wenpeng Lu; Xueping Peng (ICASSP, 2022)

Modeling Multi-interest News Sequence for News Recommendation. - Rongyao Wang; Wenpeng Lu (CoRR, 2022)

Aspect-Driven User Preference and News Representation Learning for News Recommendation. - Wenpeng Lu; Rongyao Wang; Shoujin Wang; Xueping Peng; Hao Wu 066; Qian Zhang 070 (IEEE Trans. Intell. Transp. Syst., 2022)

Intention-Aware User Modeling for Personalized News Recommendation. - Rongyao Wang; Shoujin Wang; Wenpeng Lu; Xueping Peng; Weiyu Zhang 001; Chaoqun Zheng; Xinxiao Qiao (DASFAA (2), 2023)

COP: A Combinational Optimization Power Budgeting Method for Manycore Systems in Dark Silicon. - Xin Li 042; Zhi Li; Yaqi Ju; Xiaofei Zhang; Rongyao Wang; Wei Zhou 020 (IEEE Trans. Computers, 2023)

Kspeed: Beating I/O Bottlenecks of Data Provisioning for RDMA Training Clusters. - Jianbo Dong; Hao Qi; Tianjing Xu; Xiaoli Liu 002; Chen Wei; Rongyao Wang; Xiaoyi Lu; Zheng Cao 003; Binzhang Fu (ICNP, 2024)

Energy Efficient Automated Driving as a GNEP: Vehicle-in-the-loop Experiments. - Viranjan Bhattacharyya; Tyler Ard; Rongyao Wang; Ardalan Vahidi; Yunyi Jia; Jihun Han (CoRR, 2024)

A Survey on LLM-based News Recommender Systems. - Rongyao Wang; Veronica Liesaputra; Zhiyi Huang 001 (CoRR, 2025)