| 2026 | SIGCOMM | Cross-Layer IP/Optical Spectrum Planning: Modeling Fragmentation and Multiband Contention. | Shrinivas Petale, Xueqi He, Srivatsan Balasubramanian, Grigory Pastukhov, Varun Gupta, Biao Lu |
| 2024 | IROS | Multi-target Tracking with Occlusion Resistance for Mobile Robots in Dynamic Environments | Zhongyan Liu, Biao Lu, Xinghai Xing, Dun Mao, Yongchun Fang |
| 2023 | RecSys | Large Scale CVR Prediction through Hierarchical History Modeling. | Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong |
| 2023 | SIGCOMM | Hose-based cross-layer backbone network design with Benders decomposition. | John P. Eason, Xueqi He, Richard Cziva, Max Noormohammadpour, Srivatsan Balasubramanian, Satyajeet Singh Ahuja, Biao Lu |
| 2021 | CIKM | UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. | Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He |
| 2020 | SIGIR | Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. | Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He |
| 2019 | IGARSS | Estimation of Fuel Biomass for Grasslands Using Data Assimilation Technique. | Yang Zhang, Qidi Shu, Long Wang, Xingwen Quan, Xiangzhuo Liu, Biao Lu |
| 2019 | IM | Optonomic: Architecture for Autonomic Optical Transport Networks. | Abhinava Sadasivarao, Sanjoy Bardhan, Sharfuddin Syed, Biao Lu, Loukas Paraschis |
| 1999 | ISCAS | Channel equalization by feedforward neural networks. | Biao Lu, Brian L. Evans |