Hi! I’m Yang Jiao, an Assistant Professor at Southeast University. I obtained my Ph.D. degree from Tongji University under the supervision of Prof. Kai Yang. Additionally, I was a visiting scholar at Columbia University and CUHK Shenzhen, where I conducted joint academic training under the co-supervision of Prof. Xiaodong Wang and Prof. Jianwei Huang, respectively. My research interests include network+AI, distributed machine learning, bilevel and trilevel optimization, robust optimization, and LLMs.

Published Works

[1] Y Jiao, K Yang, et al. Distributed Distributionally Robust Optimization with Non-Convex Objectives. Advances in Neural Information Processing Systems 36. (NeurIPS 2022, CCF-A).

[2] Y Jiao, K Yang, et al. Asynchronous Distributed Bilevel Optimization. Eleventh International Conference on Learning Representations. (ICLR 2023, CCF-A)

[3] Y Jiao, K Yang, et al. DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence. (ICML 2025, CCF-A)

[4] Y Jiao, K Yang, et al. Provably Convergent Federated Trilevel Learning. (AAAI 2024, CCF-A)

[5] Y Jiao, X Wang, K Yang. PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization. (SIGIR 2025, CCF-A)

[6] Y Jiao, K Yang, et al. Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis[J]. (IEEE Transactions on Mobile Computing, CCF-A), 2026.

[7] Y Jiao, K Yang, et al. TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series [J]. (IEEE Transactions on Network Science and Engineering), 2022, 9(3): 1604-1619.

[8] K Huang, Y Jiao, et al. Robust network structure reconstruction based on Bayesian compressive sensing [J]. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019, 29(9): 093119.

[9] C Jian, K Yang, Y Jiao. Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization. (NeurIPS 2024, CCF-A)

[10] P Han, S Wang, Y Jiao, J Huang. Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization. (IEEE INFOCOM 2024, CCF-A)

[11] S Dou, K Yang, Y Jiao, C Qiu, K Ren. Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning). (IEEE Transactions on Dependable and Secure Computing, CCF-A)

[12] H Ma, K Yang, Y Jiao. Cellular traffic prediction via byzantine-robust asynchronous federated learning. (IEEE Transactions on Network Science and Engineering)

Conference & Journal Reviewers

Reviewer at NeurIPS 2023, 2024, 2025.

Reviewer at ICLR 2024, 2025.

Reviewer at ICML 2024, 2025, 2026.

Reviewer at AISTATS 2025.

Reviewer at Globecom 2024.

Reviewer/PC member at IJCAI 2024.

Reviewer/PC member at AAAI 2025.

Reviewer/PC member at AI4TS workshop in ICDM.

Reviewer/PC member at AI4TS workshop in AAAI.

Reviewer at APATN workshop in ICC 2024.

Reviewer at AI4TS in IJCAI 2024.

Reviewer at IEEE Transactions on Knowledge and Data Engineering.

Reviewer at IEEE Transactions on Mobile Computing.

Reviewer at IEEE Transactions on Network Science and Engineering.

Reviewer at IEEE Transactions on Signal Processing.

Reviewer at IEEE Transactions on Emerging Topics in Computational Intelligence.

Reviewer at IEEE Transactions on Intelligent Vehicles.

Reviewer at IEEE Internet of Things Journal.

Reviewer at Mathematical Programming.

Reviewer at Pattern Recognition.

Reviewer at Neural Networks.

Reviewer at Neurocomputing.

Awards

National Scholarship for PhD students

Outstanding Doctoral Scholarship at Tongji University

Outstanding Ph.D. Student Short-Term Overseas Research Funding at Tongji University

Academic Pioneer Nomination Award at Tongji University

Outstanding Student of Tongji University

Outstanding Student of Central South University

Central South University Scholarship

Outstanding Graduate of Central South University