A Computationally Efficient Tensor Completion Algorithm. - Ioannis C. Tsaknakis; Paris V. Giampouras; Athanasios A. Rontogiannis; Konstantinos D. Koutroumbas (IEEE Signal Process. Lett., 2018)

Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications. - Songtao Lu; Ioannis C. Tsaknakis; Mingyi Hong 001 (ICASSP, 2019)

Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack. - Ioannis C. Tsaknakis; Mingyi Hong 001; Sijia Liu 001 (ICASSP, 2020)

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications. - Songtao Lu; Ioannis C. Tsaknakis; Mingyi Hong 001; Yongxin Chen (IEEE Trans. Signal Process., 2020)

Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function. - Ioannis C. Tsaknakis; Mingyi Hong 001 (AISTATS, 2021)

An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems. - Ioannis C. Tsaknakis; Prashant Khanduri; Mingyi Hong 001 (ICASSP, 2022)

Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity. - Bingqing Song; Ioannis C. Tsaknakis; Chung-Yiu Yau; Hoi-To Wai; Mingyi Hong 001 (NeurIPS, 2022)

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning. - Ioannis C. Tsaknakis; Bhavya Kailkhura; Sijia Liu 001; Donald Loveland; James Diffenderfer; Anna Maria Hiszpanski; Mingyi Hong 001 (CoRR, 2022)

An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation. - Ioannis C. Tsaknakis; Prashant Khanduri; Mingyi Hong 001 (ICASSP, 2023)

Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. - Prashant Khanduri; Ioannis C. Tsaknakis; Yihua Zhang; Jia Liu 002; Sijia Liu 001; Jiawei Zhang 007; Mingyi Hong 001 (ICML, 2023)

An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning. - Yihua Zhang; Prashant Khanduri; Ioannis C. Tsaknakis; Yuguang Yao; Mingyi Hong 001; Sijia Liu 001 (CoRR, 2023)

Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality. - Ioannis C. Tsaknakis; Mingyi Hong 001; Shuzhong Zhang (SIAM J. Optim., 2023)

An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning. - Yihua Zhang; Prashant Khanduri; Ioannis C. Tsaknakis; Yuguang Yao; Mingyi Hong 001; Sijia Liu 001 (IEEE Signal Process. Mag., 2024)

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking. - Athanasios Glentis; Jiaxiang Li; Qiulin Shang; Andi Han; Ioannis C. Tsaknakis; Quan Wei 001; Mingyi Hong 001 (CoRR, 2025)

Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction. - Ioannis C. Tsaknakis; Bingqing Song; Shuyu Gan; Dongyeop Kang; Alfredo García 001; Gaowen Liu; Charles Fleming; Mingyi Hong 001 (CoRR, 2025)