Publications

Full Publications (Google Scholar)

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Journal and Conference Papers

* J. Hu, Z. Huang, X. Yin, W. Ruan, G. Cheng, Y. Dong, X. Huang. Falcon: Fine-grained activation manipulation by contrastive orthogonal unalignment for large language model (NeurIPS 2025) 

* Y. Dong, Y. Wang, M. Gama, M. A. Mustafa, G. Deconinck, X. Huang: Privacy-preserving Distributed Learning for Residential Short-term Load Forecasting. (IEEE Internet of Things Journal)

* Y. Dong, X. Zhao, S. Wang, X. Huang: Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems. (IEEE Robotics and Automation Letters)

* Y. Qi, Y. Dong, S. Khastgir, J. Paul, X. Zhao, X. Huang: STPA for Learning-Enabled Systems: A Survey and A New Practice. (2023 The 26th IEEE International Conference on Intelligent Transportation Systems)

* X. Huang, W. Ruan, W. Huang, G. Jin, Y. Dong, C. Wu, S. Bensalem, R. Mu, Y. Qi, X. Zhao, K. Cai, Y. Zhang, S. Wu, P. Xu, D. Wu, A. Freitas, M. A. Mustafa: A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. 

* Y. Dong, Z. Li, X. Zhao, Z. Ding, X. Huang: Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation. (AAMAS 2023（Full-paper).

* Y. Dong, W. Huang, V. Bharti, V. Cox, A. Banks, S. Wang, X. Zhao, S. Schewe, X. Huang: Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems. (ACM Transactions on Embedding Computing Systems).

* Y. Dong, Y. Chen, X. Zhao, X. Huang: Short-term Load Forecasting with Distributed Long Short-Term Memory. (In proceedings of 2023 IEEE ISGT North America).

* Y. Dong, X. Zhao, X. Huang: Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking. (2022 IEEE/RSJ International Conference on Intelligent Robots and Systems).

* E. Manino, D. Carvalho, Y. Dong, J. Rozanova, X. Song, M.A. Mustafa, A. Freitas, G. Brown, M. Luján, X. Huang, L. Cordeiro : EnnCore: End-to-End Conceptual Guarding of Neural Architectures. (Safe AI workshop on Association for the Advancement of Artificial Intelligence).

* Y. Dong, Z. Dong, T. Zhao, Z. Li, Z. Ding: Short term load forecasting with markovian switching distributed deep belief networks. (International Journal of Electrical Power & Energy Systems).

* Y. Dong, Z. Dong, T. Zhao, Z. Ding: A Strategic Day-ahead bidding strategy and operation for battery energy storage system by reinforcement learning. (Electric Power Systems Research).

* X. Zhao, W. Huang, S. Schewe, Y. Dong, X. Huang: Detecting Operational Adversarial Examples for Reliable Deep Learning. (The 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks).

* Y. Dong: Power Systems Optimisation and Management by Distributed Methods. (The University of Manchester).

* Z. Dong, Z. Li, Y. Dong, S. Jiang, Z. Ding: Fully-distributed deloading operation of DFIG-based wind farm for load sharing. (IEEE Transactions on Sustainable Energy).

* Y. Dong, T. Zhao, Z. Ding: An Optimal Day-ahead Bidding Strategy and Operation for Battery Energy Storage System by Reinforcement Learning. (IFAC World Congress 2020, Germany).

* Z. Dong, Y. Dong, Z. Ding: Novel Cooperative Control of DFIG-Based Grid-Connected Wind Farm for Active Power Dispatch Considering Wake Effect. Accepted by (IFAC World Congress 2020, Germany).

* Y. Dong, T. Zhao, Z. Ding: Demand‐side management using a distributed initialisation‐free optimisation in a smart grid. (IET renewable power generation).