| 2026 | EuroPar | Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices. | Yuening Wang, Juan Fang, Ran Zhai, Qi Ming, Nan He, Anca Jurcut |
| 2025 | IROS | ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models. | Lingfeng Zhang, Yuening Wang, Hongjian Gu, Atia Hamidizadeh, Zhanguang Zhang, Yuecheng Liu, Yutong Wang, David Gamaliel Arcos Bravo, Junyi Dong, Shunbo Zhou, Tongtong Cao, Xingyue Quan, Yuzheng Zhuang, Yingxue Zhang, Jianye Hao |
| 2024 | CIKM | Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. | Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates |
| 2023 | AAAI | Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. | Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates |
| 2023 | HPCC | AMPP: An Adaptive Multilayer Perceptron Prefetcher for Irregular Data Prefetching. | Juan Fang, Jingjing Li, Huijing Yang, Yuening Wang, Shuying Song |
| 2021 | CIKM | Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. | Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates |
| 2021 | CIKM | Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. | Yuening Wang, Yingxue Zhang, Mark Coates |