Yao LIU

Yao LIU

Lecturer
School of Computer Science and Engineering, Northeastern University

Publications

Books

  1. Michael Sheng, Yao Liu, Lina Yao, Artificial Intelligence and Pervasive Internet of Things for Smart Aging. Springer Nature (Contract signed, forthcoming).

Conference Papers

  1. Xiaoxuan Li, Yao Liu, Ruoyu Wang and Lina Yao, Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery. The 2024 International Web Information Systems Engineering conference (WISE 2024), Doha, Qatar, 2 December - 5 December, 2024.

  2. Yuanjiang Cao, Yao Liu, Ruoyu Wang, Quan Z. Sheng and Lina Yao, Improving Efficiency of Unsupervised Skill Discovery by Model Resetting Curriculum. The 2024 International Conference on Neural Information Processing (ICONIP 2024), Auckland, New Zealand, 2 December - 6 December, 2024.

  3. Ruoyu Wang, Yao Liu, Yuanjiang Cao, Lina Yao, Causality-Aware Transformer Networks for Robotic Navigation. The 2024 International Conference on Neural Information Processing (ICONIP 2024), Auckland, New Zealand, 2 December - 6 December, 2024.

  4. Yao Liu*, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, and Lina Yao, Multi-agent Traffic Prediction via Denoised Endpoint Distribution. The 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), Abu Dhabi, UAE, 14 October – 18 October, 2024.

  5. Yao Liu*, Binghao Li, Claude Summet, and Lina Yao, Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios. The 2023 International Conference on Neural Information Processing (ICONIP 2023), Changsha, China, 20 November - 23 November, 2023.

  6. Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, and Lina Yao, NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), University of Birmingham and Eastside Rooms, UK, 12 October - 25 October, 2023.

  7. Yao Liu*, Lina Yao, Binghao Li, Xianzhi Wang, and Claude Sammut, Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, 17 October - 21 October, 2022.

Journal Papers

  1. Qi Yu, Danyang Song, Jinzhu Yang, Zhitao Zhang, Song Sun, Haiyang Sun, Yangyang Li, Yao Liu, Yiqiu Qi, Mei Wei, Yiming Liu, A multi-level contrastive learning-based correction model for semi-supervised fetal echocardiography segmentation. Neurocomputing, Volume 650, 14 October 2025, Article 130858.

  2. Ruoyu Wang, Tong Yu, Mingjie Li, Yuanjiang Cao, Yao Liu, Lina Yao, Learning Causality-Aware Exploration with Transformers for Goal-Oriented Navigation. ACM Transactions on Intelligent Systems and Technology (TIST), 16 July 2025.

  3. Bo Wang, Yao Liu, Rui Wang, Qiuye Sun, Trajectory Prediction Model of Electric Vehicle Autonomous Driving Based on Hybrid Attention Transformer Network. IET Intelligent Transport Systems, 28 March 2025.

  4. Yao Liu#*, Zesheng Ye#, Rui Wang, Binghao Li, Quan Z. Sheng, and Lina Yao, Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. Knowledge-Based Systems (KNOSYS/KBS), 19 July 2024.

  5. Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, and Lina Yao, Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. IEEE Transactions on Knowledge and Data Engineering (TKDE), 18 April 2024.

  6. Yao Liu#*, Gangfeng Cui#, Jiahui Luo, Xiaojun Chang, and Lina Yao, Two-stream multi-level dynamic point transformer for two-person interaction recognition. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 07 February 2024.

  7. Yao Liu*, Lina Yao, Binghao Li, Claude Sammut, and Xiaojun Chang, Interpolation Graph Convolutional Network for 3D Point Cloud Analysis. International Journal of Intelligent Systems (IJIS), 22 September 2022.

  8. Xinqing Song, Fanglin Zhu, Xingchen Cao, Jiawei Liu, Rui Wang, Yi Zhang, and Yao Liu, An IPAVSG Control Strategy for Microgrid With Multi-Parallel VSG System. Frontiers in Energy Research, 06 June 2022.

  9. Tianyi Guan, Xin Zhao, Wenjing Zheng, Hu Liu, Yao Liu, and Qiuye Sun, Improved sliding-mode vector control strategy combined with extended reactive power for MMC under unbalanced grid condition. Frontiers in Energy Research, 24 March 2022.

  10. Yao Liu, Yingzhi Wang, Lijun Wang, Feng Zhang, Zhenhong Du, and Renyi Liu, Spatial-Temporal Hotspots Analysis of Traffic Accidents. Journal of Zhejiang University (Science Edition), 2020. 【刘尧，王颖志，王立君，张丰，杜震洪，刘仁义，交通事故的时空热点分析，浙江大学学报: 理学版，2020】

  11. Jiali Zheng, Feng Zhang, Zhenhong Du, Lifang Lai, Renyi Liu, Yao Liu, Multi-scale analysis of spatial-temporal characteristics of infectious diseases: A case study on gonorrhea, bacillary dysentery and mumps in Hangzhou. Journal of Zhejiang University (Science Edition), 2018. 【郑嘉丽，张丰，杜震洪，来丽芳，刘仁义，刘尧，传染病的多尺度时空特征分析——以杭州市淋病, 细菌性痢疾和流行性腮腺炎为例，浙江大学学报: 理学版，2018】

Preprints

  1. Yao Liu*, Jinzhu Yang, Quan Z. Sheng, and Lina Yao, Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised End point Distribution.

  2. Yao Liu*, Ruoyu Wang, Quan Z. Sheng, Lina Yao, Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising.

  3. Ruoyu Wang, Tong Yu, Yao Liu, Lina Yao, Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation.

  4. Song Sun, Danyang Song, Jinzhu Yang, Zhitao Zhang, Qi Yu, Haiyang Sun, Yangyang Li, Yao Liu, STENet: A Multi-task Segmentation Network with Spatial Topology Enhancement for Fetal Echocardiography.

The symbol * denotes the corresponding author, while # indicates authors who contributed equally.