| 2026 |
| May 22, 2026 | A new paper On the Nature of Regularity Assumptions in Bilevel Optimization with Constrained Lower-level Problem, joint work with Xiaotian, Chuan and Shuzhong is available here. In this work, we study the regularity assumptions underlying bilevel optimization when the lower-level problem is constrained. |
| May 20, 2026 | Welcome Dawei Li to the group as a post-doctoral researcher! |
| May 15, 2026 | M. gave a talk at the Department of Industrial Engineering and Management Sciences (IEMS) at Northwestern University, titled “When Classical Optimization Meets Modern Foundation Models: New Algorithms, Theory, and Insights”. The slides can be found here. This talk included a few of our new results, including an interpretation of SGD, and making Nesterov’s lookahead momentum work as a “harness” to accelerate pretraining algorithms (see here). |
| May 01, 2026 | Five papers accepted by ICML 2026. Congratulations to everyone! - “Hiper: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents”, J. Peng, Y. Liu, R. Zhou, C. Fleming, Z. Wang, A. Garcia, M. Hong. See here
- “A Minimalist Optimizer Design for LLM Pretraining”, A. Glentis, J. Li, A. Han, M. Hong. See here
- “StitchCUDA: An Automated Multi-Agent End-to-End GPU Programming Framework with Rubric-based Agentic Reinforcement Learning”, S. Li, Z. Zhang, W. Chen, Y. Luo, M. Hong, C. Ding. See here
- “Leak@k: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding”, H. Reisizadeh, J. Ruan, Y. Chen, S. Pal, S. Liu, M. Hong. See here
- “GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding”, B. Lei, N. Xu, A. Payani, M. Hong, C. Liao, Y. Cao, C. Ding. See here
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| Mar 15, 2026 | Our paper BLUR: A Bi-Level Optimization Approach for LLM Unlearning has been accepted to EACL 2026 (Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, Volume 1: Long Papers). Joint work with Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, and Mingyi Hong. Code available here. |
| Mar 01, 2026 | Together with Dr. Jiaxiang Li, M. organized three sessions at the INFORMS Optimization Society Annual Meeting (March 2026): two on optimizer design and benchmarking for LLM pretraining, and one on bilevel optimization. - Session 1: Meisam Razaviyayn (USC), Weijie Su (Wharton, University of Pennsylvania), Aaron Defazio (Meta), Athanasios Glentis (University of Minnesota).
- Session 2: Kaan Ozkara (Amazon), Kaiyue Wen (Stanford University), Hao-Jun Michael Shi (Meta), Maria-Eleni Sfyraki (UC San Diego), Tuo Zhao (Georgia Tech).
- Session 3 (Bilevel Optimization): Yuchen Lou (Northwestern University), Sanyou Mei (HKUST), Xiaotian Jiang (University of Minnesota), Jie Wang (CUHK-Shenzhen).
|
| Feb 01, 2026 | Our tutorial paper Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design, joint work with Siliang, Luca, Chenliang, Jiaxiang, Volkan (EPFL), Stephano (Stanford), Markus (Google) and Alfredo (TAMU), has been accepted by SPM. |
| Jan 01, 2026 | Mingyi and Jiaxiang are organizing three sessions on INFORMS Optimization Society Conference (IOS). Two sessions on optimization for foundations models, and one on bilevel optimization. |
|
| 2025 |
| Dec 01, 2025 | M. is awarded a JPMorgan Chase Faculty Research Award to support the research on the general direction of optimization for foundation models. |
| Nov 10, 2025 | Dawei Li joined the group as a visiting researcher. Dawei obtained PhD degree from the Department of Industrial and Enterprise Systems Engineering from UIUC. Welcome! |
| Nov 05, 2025 | Chung Yiu (Oscar) Yau joined the group as a Post-Doctoral Fellow. Oscar obtained PhD degree from the Department of Systems Engineering and Engineering Management from Chinese University of Hong Kong. Welcome! |
| Nov 01, 2025 | A new set of tutorial slides on bilevel optimization developed by M. and Prof. Steve Wright can be found here. |
| Sep 15, 2025 | M. Receives the Egon Balas Prize from INFORMS Optimization Society. This prize is awarded annually to an individual for a body of contributions in the area of optimization. See here for the CSE announcement.  |
| Sep 10, 2025 | A new paper A Correspondence-Driven Approach for Bilevel Decision-making with Nonconvex Lower-Level Problems, joint work with Xiaotian, Jiaxiang and Shuzhong is available here. In this work, we study challenging bilevel optimization problems where the lower-level problem is non-convex. |
| Sep 05, 2025 | Welcome Zijian Zhang (ECE) and Shuyu Gan (CSE, co-advised with DK) who joined the group as first-year PhD students. |
| Jul 10, 2025 | A new 3-year grant Collaborative Research: Unregistered Spectral Image Fusion in Remote Sensing: Foundations and Algorithms is awarded by NSF (joint work with Xiao). In this work, we develop theory and algorithms for challenging fusion tasks in remote sensing. |
| Jul 05, 2025 | M. Delivered a semi-plenary talk in ICCOPT 2025. The slides can be found here. |
| Jun 10, 2025 | A new paper A Minimalist Optimizer Design for LLM Pretraining, joint work with Thanos, Jiaxiang and Andi is available here. In this work, we propose an approach that builds efficient pretraining algorithms from scratch. |
| May 20, 2025 | A new 2-year grant Invariance in LLM Unlearning Advancing Optimization Foundations for Machine Unlearning is awarded by Open Philanthropy (Technical AI Safety Research, joint work with Sijia and Shiyu). In this work, we develop theory and algorithms for LLM unlearning. |
| May 15, 2025 | A new paper Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment, joint work with Siliang, Quan, William (Prime Intellect), Oana (Morgan Stanley), Yuriy Nevmyvaka (Morgan Stanley) is available here. In this work, we show that it is critical to perform credit assignment when training LLMs for multi-turn agent applications. Code available here.  |
| May 10, 2025 | Siliang Zeng successfully defended his thesis. Congratulations, Dr. Zeng! |
| May 10, 2025 | A new paper BLUR: A Bi-Level Optimization Approach for LLM Unlearning, joint work with Hadi, Sijia and Amazon colleagues is available. In this work, we propose a new formulation of the unlearning problem, based on a (simple) bilevel optimization, which can prioritize the unlearning capabilities while maintaining the desirable content from the LLM output. Code available here.  |
| Apr 25, 2025 | 5 papers accepted by ICML 2025. Congratulations to everyone! - “RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models” see here
- “Inference-Time Alignment of Diffusion Models with Direct Noise Optimization” see here
- “Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond” see here
- “On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains” see here
- “BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning” see here
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| Feb 15, 2025 | 3 papers accepted by ICLR 2025. Congratulations to everyone! - “DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction” see here
- “Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs” (Oral paper) see here
- “Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment” (Spotlight paper) see here
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| Jan 20, 2025 | M. is elected to IEEE Fellow with the citation “for contributions to optimization in signal processing, wireless communication and machine learning”. |
| Jan 15, 2025 | Congratulations to Quan Wei and Xinnan Zhang for receiving the Amazon Machine Learning System Fellowship! This fellowship awards students who will contribute to research advancing the science of computer systems and/or software systems support for machine learning and artificial intelligence. |
|
| 2024 |
| Dec 15, 2024 | A new 2-year grant ACED: Building Molecule Generative Models for Drug Development via Conditional Diffusion and Multi-Property Optimization is awarded by NSF. In this work, we develop optimization-based computational methods to align diffusion model generation with desired drug properties. |
| Nov 20, 2024 | A new 3-year grant Inverse Reinforcement Learning with Heterogeneous Data: Estimation Algorithms with Finite Time and Sample Guarantees is awarded by NSF. In this work, we develop theory and algorithms for LLM alignment (e.g., RLHF, DPO, etc) from inverse reinforcement learning perspective. |
| Nov 10, 2024 | Congratulations to Siliang Zeng and Songtao Lu to receive the prestigious IBM Pat Goldberg Memorial Award (honorable mention), for our 2022 NeurIPS paper A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. See the IBM announcement here. |
| Sep 20, 2024 | 7 papers accepted by NeurIPS 2024. Congratulations to everyone! - “Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models”
- “Pre-training Differentially Private Models with Limited Public Data”
- “DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction”
- “Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment”
- “SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining”
- “Unraveling the Gradient Descent Dynamics of Transformers”
- “RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees”
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| Sep 15, 2024 | Group Kayak Activity, with visiting student Chung You Yau from CUHK. |
| Aug 20, 2024 | Congratulations to Jiaxiang Li to receive the prestigious INFORMS Computing Society Best Paper Award! |
| Jul 10, 2024 | A new 3-year grant Bi-Level Optimization for Hierarchical Machine Learning Problems: Models, Algorithms and Applications is awarded by NSF. In this work, we develop theory and algorithms for bilevel optimization, and identify applications to machine learning and language models. |
|
| 2023 |
| Dec 10, 2023 | The group attended NeurIPS 2023. |
| Nov 25, 2023 | Xinwei Zhang Graduation Dinner celebration. |
| Nov 20, 2023 | Xinwei Zhang successfully defended his thesis. Congratulations, Dr. Zhang! |
| Sep 15, 2023 | Group Kayak Activity. |
| Jun 20, 2023 | We have been presented the SPS Best Paper Award and the Pierre-Simon Laplace Early Career Technical Achievement Award at ICASSP 2023. Congratulations to everyone, especially former members Dr. Haoran Sun and Dr. Xiangyi Chen!   |
|
| 2022 |
| Dec 20, 2022 | M. Receives the Pierre-Simon Laplace Early Career Technical Achievement Award from IEEE Signal Processing Society. |
| Dec 15, 2022 | Group Escape Room Activity. |
| Dec 15, 2022 | Our work Learning to optimize: Training deep neural networks for interference management (joint work with Haoran, Xiangyi, Qingjiang, Nikos and Xiao), published in IEEE TSP 2018, has been awarded the 2022 Signal Processing Society Best Paper Award. |
| Oct 15, 2022 | Group Hiking Activity at Afton. |
| May 15, 2022 | Xiangyi Chen graduated. Congratulations! |
|
| 2021 |
| Dec 15, 2021 | Our work Multi-agent distributed optimization via inexact consensus ADMM (joint work with Tsung-Hui and Xiangfeng), published in IEEE TSP 2016, has been awarded the 2021 Signal Processing Society Best Paper Award. |
| Jun 15, 2021 | Our work entitled STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning has been made available online at arXiv. This paper designed a federated learning algorithm which achieves the optimal sample and communication complexity. |
| May 20, 2021 | Our work entitled A near-optimal algorithm for stochastic bilevel optimization via double-momentum has been made available online at arXiv. This paper proposes an algorithm which achieves the best sample complexity for certain class of bi-level optimization problem. |
| May 15, 2021 | Our work entitled “On lower iteration complexity bounds for the convex concave saddle point problems” has been accepted by Mathematical Programming. |
| May 10, 2021 | Our work entitled “RMSprop converges with proper hyper-parameter” has been accepted by ICLR as a spotlight paper. |
| May 05, 2021 | Our work entitled “Decentralized Riemannian Gradient Descent on the Stiefel Manifold” has been accepted by ICML. |
| Apr 15, 2021 | Our work entitled To Supervise or Not To Supervise: How to Effectively Learn Wireless Interference Management Models has been accepted by SPAWC 2021. |
| Feb 15, 2021 | Our work entitled Hybrid Federated Learning: Algorithms and Implementation has been awarded a Best Student Paper Award in the NeurIPS 2020 Workshop on Scalability, Privacy, and Security in Federated Learning (NeurIPS-SpicyFL 2020). |
|
| 2020 |
| Dec 15, 2020 | Our work entitled Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup has been made available online at arXiv. This paper analyzes the complexity of the popular A3C algorithm. |
| Dec 10, 2020 | Our work entitled Hybrid FL: Algorithms and Implementation has been made available online at arXiv. This paper proposes a new formulation and algorithm for hybrid Federated Learning. |
| Oct 15, 2020 | Our work entitled “Learned conjugate gradient descent network for massive MIMO detection” has been accepted by IEEE TSP. |
| Sep 20, 2020 | Four papers accepted in NeurIPS 2020, with two as spotlights: Understanding Gradient Clipping in Private SGD, SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently, Provably Efficient Neural GTD for Off-Policy Learning, and Distributed Training with Heterogeneous Data. |
| Sep 10, 2020 | Dr. Songtao Lu joined IBM TJ Watson Research Center as a Research Staff. |
| Aug 20, 2020 | Our 2016 paper on ADMM receives a Best Paper Award (Silver) from ICCM. |
| Aug 15, 2020 | Dr. Prashant Khanduri joins the group as a post-doctoral fellow. Welcome! |
| Jul 20, 2020 | Mingyi Hong receives the 2020 IBM Academic Research Award. |
| Jul 15, 2020 | We received the NSF - Intel research award. We propose to understand how to use state-of-the-art optimization and learning tools for wireless communication and networking. |
| Jun 20, 2020 | Two papers accepted by ICML 2020: Min-Max Optimization without Gradients and Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization. |
| Jun 15, 2020 | Our work entitled “Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization, Part I and II” has been accepted by IEEE TSP. |
| Jun 10, 2020 | Our overview paper entitled “Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances” has been accepted by IEEE SPM. |
|
| 2019 |
| Dec 15, 2019 | Our work entitled “Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems” has been accepted by IEEE TSP. |
| Nov 15, 2019 | Mingyi Hong visited Princeton University (Host: Yuxin Chen and Jason Lee). |
| Sep 20, 2019 | Three papers accepted by NeurIPS 2019: Min-Max Analysis for Policy Evaluation, Global convergence for actor-critic, and Zeroth-Order Adam method. |
| Aug 15, 2019 | The proposal entitled “Online Modeling of Heterogeneous Autonomy” is funded by AFOSR from 2019-2022. |
| Jul 15, 2019 | The proposal entitled “A Simple and Unifying Optimization Framework for Signal and Information Processing Problems with Min-Max Structures” is funded by NSF from 2019-2022. |
| Jun 20, 2019 | Our work entitled A Deep Learning Method for Online Capacity Estimation of Lithium-Ion Batteries has been accepted by Journal of Energy Storage. |
| Jun 15, 2019 | Our work entitled Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms has been accepted by IEEE TSP. |
| Apr 20, 2019 | Our work entitled “On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions” has been accepted by ICML 2019. |
| Mar 20, 2019 | Xinwei Zhang joined the group as a Ph.D. student. Welcome! |
| Mar 15, 2019 | The proposal entitled “Multi-Aspect Intelligence Fusion and Analytics” is funded by ARO from 2019-2022. |
|
| 2018 |
| Dec 20, 2018 | Our work entitled “On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization” has been accepted by ICLR 2019. |
| Dec 15, 2018 | Our work entitled “signSGD via Zeroth-Order Oracle” has been accepted by ICLR 2019. |
| Nov 15, 2018 | Mingyi Hong presented a distinguished lecture about zeroth-order optimization for adversary machine learning at GlobalSIP 2018. |
| Oct 20, 2018 | Haoran Sun received a best student paper prize (third prize) for our paper “Distributed Non-Convex First-Order Optimization” in Asilomar 2018. |
| Sep 20, 2018 | Our work entitled “A Finite Sample Analysis of the Actor-Critic Algorithm” has been accepted by CDC 2018. |
| Sep 15, 2018 | Our work entitled “Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization” has been accepted by NeurIPS 2018. |
| May 20, 2018 | Our work entitled “Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management” has been accepted by IEEE TSP. |
| May 15, 2018 | Our work entitled “Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization” has been accepted by ICML 2018. |
| Apr 15, 2018 | Our work entitled “Anchor-Free Correlated Topic Modeling” has been accepted by IEEE TPAMI. |
| Mar 15, 2018 | Our work entitled “Spectral Efficiency Optimization For Millimeter Wave Multi-User MIMO Systems” has been accepted by IEEE JSTSP. |
| Feb 15, 2018 | Mr. Ziping Zhao from Hong Kong University of Science and Technology has joined the group as a visiting student. Welcome! |
|
| 2017 |
| Nov 20, 2017 | Davood Hajinezhad has successfully defended his thesis. Congratulations! After the defense, he will join Duke University for a postdoc. |
| Nov 15, 2017 | Mingyi Hong becomes a member of IEEE MLSP Technical Committee from 2018 - 2020. |
| Aug 20, 2017 | The proposal entitled “Decomposition Framework for Non-convex Nonsmooth Optimization with Applications in Data Analytics” is funded by NSF CMMI from 2017-2021. |
| Aug 15, 2017 | Mingyi Hong is moving to the ECE Department, University of Minnesota as an Assistant Professor in Fall 2017. |
| Aug 10, 2017 | Hiring a new post-doctoral fellow in the area of optimization and/or statistical learning and/or signal and information processing. |
| Jun 15, 2017 | Our paper (joint work with Wei-Cheng, Hamid, and Tom) entitled “A Distributed Semi-Asynchronous Algorithm for Network Traffic Engineering” has been conditionally accepted by IEEE SIPN. |
| May 20, 2017 | Two papers accepted by ICML 2017: “Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering” and “A Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks”. |
| May 20, 2017 | Our paper (joint work with Qingjiang, Haoran, Songtao and Meisam) entitled “Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization” has been conditionally accepted by IEEE TSP. |
| Apr 20, 2017 | Journal paper (joint work with Xiao, Kejun, Anthony and Nikos), entitled “Scalable and Optimal Generalized Canonical Correlation Analysis via Alternating Optimization” has been accepted by IEEE TSP. |
| Apr 15, 2017 | Songtao Lu has been awarded a Graduate College’s Research Excellence Award. Congratulations! |
| Feb 15, 2017 | Our group has received an NVIDIA GPU Grant. |
| Jan 25, 2017 | Conference paper (joint work with Songtao and Zhengdao), entitled “A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization” has been accepted by AISTATS. |
| Jan 20, 2017 | Journal paper (joint work with Yijian, Emiliano, Sairaj and Zi), entitled “Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM” has been conditionally accepted by IEEE TSG. |
| Jan 15, 2017 | Our work entitled “A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization” has been conditionally accepted by IEEE TSP. |
| Jan 15, 2017 | Davood Hajinezhad has been awarded a Graduate College’s Research Excellence Award, congratulations! |
| Jan 10, 2017 | Mingyi Hong becomes a member of IEEE SPCOM Technical Committee from 2017 - 2019. |
| Jan 10, 2017 | Journal paper (joint work with Tsung-Hui), entitled “Stochastic Proximal Gradient Consensus Over Random Networks” has been conditionally accepted by IEEE TSP. |
| Jan 05, 2017 | Qingjiang Shi has became an Associate Editor for IEEE Transactions on Signal Processing, congratulations! |
|
| 2016 |
| Nov 20, 2016 | Journal paper, entitled “A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach” has been accepted by IEEE TCNS. |
| Nov 15, 2016 | Our work entitled “A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach” has been accepted by IEEE TCNS. |
| Nov 15, 2016 | Journal paper (joint work with Mingmin, Yunlong, etc), entitled “Joint Transceiver Designs for Full-Duplex K-Pair MIMO Interference Channel with SWIPT” has been accepted by IEEE TCOM. |
| Aug 20, 2016 | Our work entitled “NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization” has been accepted by NeurIPS 2016. |
| Aug 15, 2016 | Mingyi Hong gave an invited talk in ICCOPT 2016 as a Finalist of the Best Paper Prize for Young Researchers in Continuous Optimization. |
| Jun 15, 2016 | Mingyi Hong gave an invited 2-day short course on modern optimization and decomposition methods in MOA 2016, held at the Chinese Academy of Sciences, Beijing. |
| May 15, 2016 | Our work entitled “On the Linear Convergence of the Alternating Direction Method of Multipliers” has been accepted by Mathematical Programming A. |
| Jan 15, 2016 | Our work entitled “Asynchronous Distributed ADMM for Large-Scale Optimization- Part I and II” has been accepted by IEEE TSP. |
|
| 2015 |
| Dec 15, 2015 | Four papers have been accepted by ICASSP 2016. |
| Nov 15, 2015 | Our work entitled “Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems” has been accepted by SIAM Journal on Optimization. |
| Nov 10, 2015 | Journal paper (joint work with Meisam and Tom) entitled “Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems” has been accepted by SIAM Journal on Optimization. |
| Nov 05, 2015 | Journal paper (joint work with Brendan) entitled “Alternating direction method of multipliers for penalized zero-variance discriminant analysis” has been accepted by Computational Optimization and Applications. |
| Sep 15, 2015 | Haoran Sun awarded a Presidential Fellowship. Congratulations! |
| Aug 15, 2015 | Our work entitled “A Unified Framework for Large-Scale Block-Structured Optimization Involving Big Data” has been accepted by IEEE Signal Processing Magazine as a Feature Article. |
| Aug 10, 2015 | The proposal entitled “Optimal Provision of Backhaul and Radio Access Networks: A Cross-Network Approach” is funded by NSF CCF. |
| Mar 15, 2015 | Journal paper (joint work with Alfredo) entitled “Efficient Rate Allocation in Wireless Networks Under Incomplete Information” has been accepted by IEEE Transactions on Automatic Control. |
| Feb 15, 2015 | Journal paper (joint work with Ruoyu and Tom) entitled “Joint Downlink Base Station Association and Power Control for Max-Min Fairness Computation and Complexity” has been accepted by IEEE JSAC special issue on Heterogeneous Cellular Networks. |
|
| 2014 |
| Sep 15, 2014 | Mingyi Hong awarded a Black & Veatch Faculty Fellowship by the College of Engineering, Iowa State. |
| Sep 15, 2014 | Mingyi Hong has been awarded a Black & Veatch Faculty Fellowship by the College of Engineering, Iowa State University (2014-2017). |
| Sep 10, 2014 | Our work entitled “Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization” has been accepted by NeurIPS 2014. |
| Aug 15, 2014 | Mingyi Hong started as an Assistant Professor at Iowa State University. |
| Jun 15, 2014 | Our survey paper entitled “Cross-Layer Provisioning of Future Cellular Networks” has been accepted by IEEE Signal Processing Magazine. |
| May 15, 2014 | Our work entitled “Joint Downlink Base Station Association and Power Control for Max-Min Fairness” has been accepted by IEEE JSAC. |
| May 15, 2014 | Journal paper (joint work with Shuai and others) entitled “Outage Constrained Robust Secure Transmission for MISO Wiretap Channels” has been accepted by IEEE TWireless. |
| May 10, 2014 | Journal paper (joint work with Wei-Cheng, Tom and researchers from Huawei Canada) entitled “Min Flow Rate Maximization for Software Defined Radio Access Networks” has been accepted by IEEE JSAC, special issue on 5G systems. |
| Apr 20, 2014 | Journal paper (joint work with Wei-Cheng, Ya-Feng and Tom) entitled “Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks” has been accepted by IEEE TSP. |
| Apr 15, 2014 | Journal paper (joint work with Zi and Tom) entitled “Semidefinite approximation for mixed binary quadratically constrained quadratic programs” has been accepted by SIAM Journal on Optimization. |
| Mar 15, 2014 | Journal paper (joint work with Joaquin, Alfredo and Ana) entitled “Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming” has been accepted by IEEE TCOM. |
| Jan 15, 2014 | Mingyi Hong has been promoted to Research Assistant Professor. |
|
| 2013 |
| May 15, 2013 | Journal paper (joint work with Zi, Meisam and Tom) entitled “Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds” has been accepted by IEEE JSAC. |
| Apr 15, 2013 | Journal paper (joint work with Qiang and others) entitled “Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization and Water-Filling” has been accepted by IEEE JSAC. |
| Mar 15, 2013 | Journal paper (joint work with Meisam and Tom) entitled “A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization” has been accepted by SIAM Journal on Optimization. |
| Feb 15, 2013 | Journal paper (joint work with Jorge, Stephen and Alfredo) entitled “Joint Access Point Selection and Power Allocation for Uplink Wireless Networks” has been accepted by IEEE TSP. |
| Feb 10, 2013 | Journal paper (joint work with Tom) entitled “Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network” has been accepted by IEEE TSP. |