| 2026 | ACL | Scaling Unverifiable Rewards: A Case Study on Visual Insights. | Shuyu Gan, James Mooney, Pan Hao, Renxiang Wang, Mingyi Hong, Qianwen Wang, Dongyeop Kang |
| 2026 | EACL | BLUR: A Bi-Level Optimization Approach for LLM Unlearning. | Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong |
| 2025 | AISTATS | Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. | Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo Garca, Mingyi Hong |
| 2025 | EMNLP | Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs. | Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong, Mahdi Namazifar |
| 2025 | EMNLP | AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. | An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding |
| 2025 | EMNLP | LUME: LLM Unlearning with Multitask Evaluations. | Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta |
| 2025 | ICLR | DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. | Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni |
| 2025 | ICLR | Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment. | Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo Garca, Mingyi Hong |
| 2025 | ICLR | Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. | Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin |
| 2025 | ICML | RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models. | Quan Wei, Chung-Yiu Yau, Hoi-To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong |
| 2025 | ICML | BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. | Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang |
| 2025 | ICML | Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond. | Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu |
| 2025 | ICML | Inference-Time Alignment of Diffusion Models with Direct Noise Optimization. | Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang |
| 2025 | ICML | On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. | Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding |
| 2025 | NAACL | Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. | Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong |
| 2024 | AISTATS | Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. | Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher |
| 2024 | ICASSP | A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. | Wenqiang Pu, Jiawei Zhang, Rui Zhou, Xiao Fu, Mingyi Hong |
| 2024 | ICLR | Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. | Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding |
| 2024 | ICLR | Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach. | Xinwei Zhang, Zhiqi Bu, Steven Wu, Mingyi Hong |
| 2024 | ICML | MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. | Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher |
| 2024 | ICML | EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. | Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong |
| 2024 | ICML | Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. | Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen |
| 2023 | CoRL | A Bayesian Approach to Robust Inverse Reinforcement Learning. | Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garca, Anthony D. McDonald, Mingyi Hong |
| 2023 | ICASSP | Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach. | Sagar Shrestha, Xiao Fu, Mingyi Hong |
| 2023 | ICASSP | An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation. | Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong |
| 2023 | ICLR | What Is Missing in IRM Training and Evaluation? Challenges and Solutions. | Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu |
| 2023 | ICML | Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. | Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong |
| 2023 | ICML | FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks. | Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong |
| 2023 | ICML | Understanding Backdoor Attacks through the Adaptability Hypothesis. | Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding |
| 2022 | ICASSP | An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems. | Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong |
| 2022 | ICASSP | Mismatched Supervised Learning. | Xun Xian, Mingyi Hong, Jie Ding |
| 2022 | ICLR | Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. | Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu |
| 2022 | ICLR | How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. | Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu |
| 2022 | ICML | Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. | Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi |
| 2022 | ICML | A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms. | Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Nicola Elia |
| 2022 | ICML | Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. | Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu |
| 2022 | UAI | Distributed adversarial training to robustify deep neural networks at scale. | Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu |
| 2021 | ACSSC | Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. | Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akakaya |
| 2021 | AISTATS | Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function. | Ioannis C. Tsaknakis, Mingyi Hong |
| 2021 | AISTATS | Generalization Bounds for Stochastic Saddle Point Problems. | Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang |
| 2021 | ICASSP | Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence. | Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong |
| 2021 | ICASSP | Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation. | Sagar Shrestha, Xiao Fu, Mingyi Hong |
| 2021 | ICASSP | Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment. | Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong |
| 2021 | ICLR | RMSprop converges with proper hyper-parameter. | Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun |
| 2021 | ICML | Decentralized Riemannian Gradient Descent on the Stiefel Manifold. | Shixiang Chen, Alfredo Garca, Mingyi Hong, Shahin Shahrampour |
| 2020 | ICASSP | Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack. | Ioannis C. Tsaknakis, Mingyi Hong, Sijia Liu |
| 2020 | ICML | Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. | Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly |
| 2020 | ICML | Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking. | Haoran Sun, Songtao Lu, Mingyi Hong |
| 2019 | ACSSC | Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. | Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong |
| 2019 | ACSSC | Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography. | Guoyong Zhang, Xiao Fu, Jun Wang, Mingyi Hong |
| 2019 | ACSSC | DImplementing First-order Optimization Methods: Algorithmic Considerations and Bespoke Microcontrollers. | Xinwei Zhang, John Sartori, Mingyi Hong, Sairaj V. Dhople |
| 2019 | GLOBECOM | Deep Learning Based Preamble Detection and TOA Estimation. | Haoran Sun, Aliye zge Kaya, Mike Macdonald, Harish Viswanathan, Mingyi Hong |
| 2019 | ICASSP | Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2019 | ICASSP | Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications. | Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong |
| 2019 | ICASSP | Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. | Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong |
| 2019 | ICLR | On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. | Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong |
| 2019 | ICLR | signSGD via Zeroth-Order Oracle. | Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong |
| 2019 | ICML | PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2019 | IJCAI | Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. | Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin |
| 2019 | UAI | On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. | Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao |
| 2019 | VCIP | Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. | Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong |
| 2018 | ACSSC | Distributed Non-Convex First-Order optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms. | Haoran Sun, Mingyi Hong |
| 2018 | ACSSC | Distributed optimization for Generalized Phase Retrieval Over Networks. | Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar |
| 2018 | ICASSP | Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition. | Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong |
| 2018 | ICASSP | Software Defined Resource Allocation for Service-Oriented Networks. | Nan Zhang, Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo |
| 2018 | ICML | Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks. | Mingyi Hong, Meisam Razaviyayn, Jason D. Lee |
| 2017 | AISTATS | A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2017 | GLOBECOM | Hybrid Transceiver Design for mmWave MIMO Systems with Non-Linear Power Consumption Model. | Xiongfei Zhai, Qingjiang Shi, Yunlong Cai, Mingyi Hong, Minjian Zhao |
| 2017 | ICASSP | Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization. | Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So |
| 2017 | ICASSP | A nonconvex splitting method for symmetric nonnegative matrix factorization: Convergence analysis and optimality. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2017 | ICASSP | Penalty dual decomposition method with application in signal processing. | Qingjiang Shi, Mingyi Hong |
| 2017 | ICASSP | Traffic engineering for backhaul networks with wireless link scheduling. | Nan Zhang, Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi-Quan Luo |
| 2017 | ICML | Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks. | Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao |
| 2017 | ICML | Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering. | Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong |
| 2017 | WCNC | Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks with SWIPT. | Ming-Min Zhao, Qingjiang Shi, Mingyi Hong, Yunlong Cai, Minjian Zhao |
| 2016 | AISTATS | An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. | Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong |
| 2016 | ICASSP | Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis. | Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang |
| 2016 | ICASSP | Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis. | Davood Hajinezhad, Tsung-Hui Chang, Xiangfeng Wang, Qingjiang Shi, Mingyi Hong |
| 2016 | ICASSP | Stochastic proximal gradient consensus over time-varying networks. | Mingyi Hong, Tsung-Hui Chang |
| 2016 | ICASSP | A penalty-BSUM approach for rate optimization in full-duplex MIMO relay networks with relay processing delay. | Qingjiang Shi, Mingyi Hong, Enbin Song, Yunlong Cai, Weiqiang Xu |
| 2016 | ICASSP | Quantized consensus ADMM for multi-agent distributed optimization. | Shengyu Zhu, Mingyi Hong, Biao Chen |
| 2016 | VTC | Joint Transceiver Design for Full-Duplex K-Pair MIMO Interference Channel with Energy Harvesting. | Yunlong Cai, Ming-Min Zhao, Qingjiang Shi, Mingyi Hong, Benot Champagne |
| 2015 | ICASSP | Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems. | Mingyi Hong, Zhi-Quan Luo, Meisam Razaviyayn |
| 2015 | ICASSP | Semi-asynchronous routing for large scale hierarchical networks. | Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi-Quan Luo |
| 2015 | ICASSP | Incorporating spatial information in binaural beamforming for noise suppression in hearing aids. | Wei-Cheng Liao, Mingyi Hong, Ivo Merks, Tao Zhang, Zhi-Quan Luo |
| 2015 | ICASSP | Combining sparse NMF with deep neural network: A new classification-based approach for speech enhancement. | Hung-Wei Tseng, Mingyi Hong, Zhi-Quan Luo |
| 2014 | ICASSP | Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers. | Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang |
| 2014 | ICASSP | A block coordinate descent method of multipliers: Convergence analysis and applications. | Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo |
| 2014 | ICASSP | Max-min network flow and resource allocation for backhaul constrained heterogeneous wireless networks. | Wei-Cheng Liao, Mingyi Hong, Zhi-Quan Luo |
| 2014 | ICASSP | Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. | Xiangfeng Wang, Mingyi Hong, Tsung-Hui Chang, Meisam Razaviyayn, Zhi-Quan Luo |
| 2013 | GLOBECOM | Auction design for spectrum allocation under interference constraints. | Jorge Barrera, Alfredo Garca, Mingyi Hong |
| 2013 | ICASSP | Derivative-free optimization of hearing aid parameters. | Shu-Hsien Chu, Mingyi Hong, Zhi-Quan Luo, Kelly Fitz, Martin F. McKinney, Tao Zhang |
| 2013 | ICASSP | Base station activation and linear transceiver design for utility maximization in Heterogeneous networks. | Wei-Cheng Liao, Mingyi Hong, Zhi-Quan Luo |
| 2013 | ICASSP | An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints. | Qiang Li, Mingyi Hong, Hoi-To Wai, Wing-Kin Ma, Ya-Feng Liu, Zhi-Quan Luo |
| 2013 | ICASSP | A novel single channel speech enhancement approach by combining Wiener filter and dictionary learning. | Hung-Wei Tseng, Srikanth Vishnubhotla, Mingyi Hong, Jinjun Xiao, Zhi-Quan Luo, Tao Zhang |
| 2013 | Interspeech | A single channel speech enhancement approach by combining statistical criterion and multi-frame sparse dictionary learning. | Hung-Wei Tseng, Srikanth Vishnubhotla, Mingyi Hong, Xiangfeng Wang, Jinjun Xiao, Zhi-Quan Luo, Tao Zhang |
| 2012 | ACSSC | Joint transceiver design and base station clustering for heterogeneous networks. | Mingyi Hong, Meisam Razaviyayn, Ruoyu Sun, Zhi-Quan Luo |
| 2012 | ACSSC | SINR constrained beamforming for a MIMO multi-user downlink system. | Qingjiang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo |
| 2012 | ICASSP | Joint linear precoder optimization and base station selection for an uplink MIMO network: A game theoretic approach. | Mingyi Hong, Zhi-Quan Luo |
| 2011 | ACSSC | Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness. | Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo |
| 2011 | INFOCOM | Joint distributed access point selection and power allocation in cognitive radio networks. | Mingyi Hong, Alfredo Garca, Jorge Barrera |
| 2011 | MSWIM | Quantitative uncertainty-based incremental localization and anchor selection in wireless sensor networks. | Zhiheng Xie, Mingyi Hong, Hengchang Liu, Jingyuan Li, Kangyuan Zhu, John A. Stankovic |
| 2010 | WiOpt | Competitive sharing of the spectrum in cognitive radio network: A market equilibrium framework. | Mingyi Hong, Alfredo Garca |
| 2009 | ICASSP | Marginalized population Monte Carlo. | Mnica F. Bugallo, Mingyi Hong, Petar M. Djuric |