Mingyi Hong

406 papers A* 60A 10B 5C 4Misc 43Journal 246Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science.
CoRR
An Luo, Jin Du, Xun Xian, Robert Specht, Fangqiao Tian, Ganghua Wang, Xuan Bi, Charles Fleming, Ashish Kundu, Jayanth Srinivasa, Mingyi Hong, Rui Zhang, Tianxi Li, Galin Jones, Jie Ding
2026 — conf
BLUR: A Bi-Level Optimization Approach for LLM Unlearning.
EACL (Volume 1: Long Papers)
Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2026 J jnl
DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning.
CoRR
Batuhan K. Karaman, Aditya Rawal, Suhaila Shakiah, Mohammad Ghavamzadeh, Mingyi Hong, Arijit Biswas, Ruida Zhou
2026 J jnl
HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents.
CoRR
Jiangweizhi Peng, Yuanxin Liu, Ruida Zhou, Charles Fleming, Zhaoran Wang, Alfredo García, Mingyi Hong
2026 J jnl
Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization.
CoRR
Yicheng Lang, Changsheng Wang, Yihua Zhang, Mingyi Hong, Zheng Zhang, Wotao Yin, Sijia Liu
2026 J jnl
RT2I-Bench: Evaluating Robustness of Text-to-Image Systems Against Adversarial Attacks.
Trans. Mach. Learn. Res.
Athanasios Glentis, Ioannis C. Tsaknakis, Jiangweizhi Peng, Xun Xian, Yihua Zhang, Gaowen Liu, Charles Fleming, Mingyi Hong
2026 J jnl
StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning.
CoRR
Shiyang Li, Zijian Zhang, Winson Chen, Yuebo Luo, Mingyi Hong, Caiwen Ding
2025 J jnl
A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning.
CoRR
Bingqing Song, Jiaxiang Li, Rong Wang, Songtao Lu, Mingyi Hong
2025 J jnl
A Minimalist Optimizer Design for LLM Pretraining.
CoRR
Athanasios Glentis, Jiaxiang Li, Andi Han, Mingyi Hong
2025 J jnl
Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach.
CoRR
Xinnan Zhang, Chenliang Li, Siliang Zeng, Jiaxiang Li, Zhongruo Wang, Kaixiang Lin, Songtao Lu, Alfredo García, Mingyi Hong
2025 J jnl
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems.
CoRR
Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, Jie Ding
2025 — conf
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science.
EMNLP (Findings)
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 J jnl
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science.
CoRR
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 J jnl
BLUR: A Bi-Level Optimization Approach for LLM Unlearning.
CoRR
Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2025 A* conf
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning.
ICML
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 J jnl
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning.
CoRR
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 — conf
Can Agentic AI Match the Performance of Human Data Scientists?
CAMSAP
An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2025 J jnl
Can Agentic AI Match the Performance of Human Data Scientists?
CoRR
An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2025 J jnl
CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization.
CoRR
Zijian Zhang, Rong Wang, Shiyang Li, Yuebo Luo, Mingyi Hong, Caiwen Ding
2025 A* conf
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction.
ICLR
Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni
2025 J jnl
Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction.
Trans. Mach. Learn. Res.
Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong
2025 J jnl
Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction.
CoRR
Ioannis C. Tsaknakis, Bingqing Song, Shuyu Gan, Dongyeop Kang, Alfredo García, Gaowen Liu, Charles Fleming, Mingyi Hong
2025 A* conf
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs.
ICLR
Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025 J jnl
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs.
CoRR
Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025 J jnl
Downlink MIMO Channel Estimation From Bits: Recoverability and Algorithm.
IEEE Trans. Signal Process.
Rajesh Shrestha, Mingjie Shao, Mingyi Hong, Wing-Kin Ma, Xiao Fu
2025 J jnl
EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation.
CoRR
Jinghan Jia, Hadi Reisizadeh, Chongyu Fan, Nathalie Baracaldo, Mingyi Hong, Sijia Liu
2025 J jnl
Effectively Steer LLM To Follow Preference via Building Confident Directions.
CoRR
Bingqing Song, Boran Han, Shuai Zhang, Hao Wang, Haoyang Fang, Bonan Min, Yuyang Wang, Mingyi Hong
2025 J jnl
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences.
CoRR
Siliang Zeng, Yao Liu, Huzefa Rangwala, George Karypis, Mingyi Hong, Rasool Fakoor
2025 J jnl
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction.
CoRR
Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding
2025 A* conf
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization.
ICML
Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang
2025 A* conf
Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment.
ICLR
Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo García, Mingyi Hong
2025 — conf
LUME: LLM Unlearning with Multitask Evaluations.
EMNLP (Findings)
Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025 J jnl
LUME: LLM Unlearning with Multitask Evaluations.
CoRR
Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025 J jnl
Leak@k: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding.
CoRR
Hadi Reisizadeh, Jiajun Ruan, Yiwei Chen, Soumyadeep Pal, Sijia Liu, Mingyi Hong
2025 J jnl
Learning Explainable Dense Reward Shapes via Bayesian Optimization.
CoRR
Ryan Koo, Ian Yang, Vipul Raheja, Mingyi Hong, Kwang-Sung Jun, Dongyeop Kang
2025 J jnl
Muon Outperforms Adam in Tail-End Associative Memory Learning.
CoRR
Shuche Wang, Fengzhuo Zhang, Jiaxiang Li, Cunxiao Du, Chao Du, Tianyu Pang, Zhuoran Yang, Mingyi Hong, Vincent Y. F. Tan
2025 J jnl
MuonBP: Faster Muon via Block-Periodic Orthogonalization.
CoRR
Ahmed Khaled, Kaan Ozkara, Tao Yu, Mingyi Hong, Youngsuk Park
2025 A* conf
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.
ICML
Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025 J jnl
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows.
CoRR
Wenhao Li, Bo Jin, Mingyi Hong, Changhong Lu, Xiangfeng Wang
2025 J jnl
Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment.
CoRR
Siliang Zeng, Quan Wei, William Brown, Oana Frunza, Yuriy Nevmyvaka, Mingyi Hong
2025 A* conf
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models.
ICML
Quan Wei, Chung-Yiu Yau, Hoi-To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong
2025 J jnl
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models.
CoRR
Quan Wei, Chung-Yiu Yau, Hoi-To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong
2025 J jnl
ST-PPO: Stabilized Off-Policy Proximal Policy Optimization for Multi-Turn Agents Training.
CoRR
Chenliang Li, Adel Elmahdy, Alex Boyd, Zhongruo Wang, Alfredo García, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Mingyi Hong
2025 J jnl
Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking.
CoRR
Athanasios Glentis, Jiaxiang Li, Qiulin Shang, Andi Han, Ioannis C. Tsaknakis, Quan Wei, Mingyi Hong
2025 J jnl
Scaling Unverifiable Rewards: A Case Study on Visual Insights.
CoRR
Shuyu Gan, James Mooney, Pan Hao, Renxiang Wang, Mingyi Hong, Qianwen Wang, Dongyeop Kang
2025 J jnl
SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models.
CoRR
Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025 A* conf
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs.
EMNLP
Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong, Mahdi Namazifar
2025 J jnl
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees.
Oper. Res.
Siliang Zeng, Mingyi Hong, Alfredo García
2025 A* conf
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
ICML
Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu
2025 J jnl
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
CoRR
Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu
2025 A conf
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality.
AISTATS
Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2025 J jnl
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality.
CoRR
Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2025 — conf
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.
NAACL (Long Papers)
Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2025 J jnl
νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints.
Trans. Mach. Learn. Res.
Thomas Pethick, Parameswaran Raman, Lenon Minorics, Mingyi Hong, Shoham Sabach, Volkan Cevher
2024 Misc conf
A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization.
ICASSP
Wenqiang Pu, Jiawei Zhang, Rui Zhou, Xiao Fu, Mingyi Hong
2024 J jnl
A Survey of Advances in Optimization Methods for Wireless Communication System Design.
CoRR
Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Zheyu Wu, Anthony Man-Cho So, Eduard A. Jorswieck, Wei Yu
2024 J jnl
A Survey of Recent Advances in Optimization Methods for Wireless Communications.
IEEE J. Sel. Areas Commun.
Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Zheyu Wu, Anthony Man-Cho So, Eduard A. Jorswieck, Wei Yu
2024 J jnl
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning.
IEEE Signal Process. Mag.
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
2024 — conf
Building Large Models from Small Distributed Models: A Layer Matching Approach.
SAM
Xinwei Zhang, Bingqing Song, Mehrdad Honarkhah, Jie Ding, Mingyi Hong
2024 A* conf
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction.
NeurIPS
Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn
2024 J jnl
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction.
CoRR
Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn
2024 A* conf
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.
NeurIPS
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
2024 J jnl
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.
CoRR
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
2024 A* conf
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.
ICLR
Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding
2024 J jnl
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction.
CoRR
Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni
2024 A* conf
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach.
ICLR
Xinwei Zhang, Zhiqi Bu, Steven Wu, Mingyi Hong
2024 J jnl
Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm.
CoRR
Rajesh Shrestha, Mingjie Shao, Mingyi Hong, Wing-Kin Ma, Xiao Fu
2024 J jnl
EMC
CoRR
Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong
2024 A* conf
EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence.
ICML
Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong
2024 J jnl
First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach.
INFORMS J. Optim.
Junyu Zhang, Mingyi Hong
2024 J jnl
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data.
Trans. Mach. Learn. Res.
Xinwei Zhang, Mingyi Hong, Jie Chen
2024 A* conf
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.
NeurIPS
Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong
2024 J jnl
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.
CoRR
Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong
2024 J jnl
Guest Editorial Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks.
IEEE J. Sel. Areas Commun.
Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Anthony Man-Cho So, Eduard A. Jorswieck, Wei Yu
2024 J jnl
Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation.
Trans. Mach. Learn. Res.
Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen
2024 J jnl
Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback.
CoRR
Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo García, Mingyi Hong
2024 A conf
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.
AISTATS
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024 J jnl
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.
CoRR
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024 A* conf
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent.
ICML
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024 J jnl
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent.
CoRR
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024 J jnl
On the Local Linear Rate of Consensus on the Stiefel Manifold.
IEEE Trans. Autom. Control.
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2024 J jnl
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.
CoRR
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2024 A* conf
Pre-training Differentially Private Models with Limited Public Data.
NeurIPS
Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis
2024 J jnl
Pre-training Differentially Private Models with Limited Public Data.
CoRR
Zhiqi Bu, Xinwei Zhang, Mingyi Hong, Sheng Zha, George Karypis
2024 J jnl
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization.
CoRR
Jiaxiang Li, Xuxing Chen, Shiqian Ma, Mingyi Hong
2024 A* conf
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.
NeurIPS
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2024 J jnl
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.
CoRR
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2024 A* conf
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
ICML
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
2024 J jnl
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR
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
2024 — conf
SHARE: A Distributed Learning Framework For Multivariate Time-Series Forecasting.
SPAWC
Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong
2024 A* conf
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining.
NeurIPS
Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Kumar Jawanpuria, Bamdev Mishra
2024 J jnl
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining.
CoRR
Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
2024 J jnl
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization.
CoRR
Jiangweizhi Peng, Zhiwei Tang, Gaowen Liu, Charles Fleming, Mingyi Hong
2024 — conf
Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks.
ISBI
Toygan Kilic, Jürgen Herrler, Patrick Liebig, Ömer Burak Demirel, Armin M. Nagel, Mingyi Hong, Georgios B. Giannakis, Kâmil Ugurbil, Mehmet Akçakaya
2024 J jnl
Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization.
CoRR
Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang
2024 J jnl
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.
CoRR
Zhiqi Bu, Xiaomeng Jin, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2024 A* conf
Unraveling the Gradient Descent Dynamics of Transformers.
NeurIPS
Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong
2024 J jnl
Unraveling the Gradient Descent Dynamics of Transformers.
CoRR
Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong
2023 Misc conf
A Bayesian Approach to Robust Inverse Reinforcement Learning.
CoRL
Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong
2023 J jnl
A Bayesian Approach to Robust Inverse Reinforcement Learning.
CoRR
Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong
2023 J jnl
A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
SIAM J. Optim.
Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2023 A* conf
A Unified Detection Framework for Inference-Stage Backdoor Defenses.
NeurIPS
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 Misc conf
An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation.
ICASSP
Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong
2023 J jnl
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.
CoRR
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
2023 J jnl
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.
CoRR
Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 J jnl
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach.
CoRR
Xinwei Zhang, Zhiqi Bu, Zhiwei Steven Wu, Mingyi Hong
2023 A* conf
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks.
ICML
Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong
2023 J jnl
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data.
CoRR
Xinwei Zhang, Mingyi Hong, Jie Chen
2023 J jnl
Learning to Beamform in Heterogeneous Massive MIMO Networks.
IEEE Trans. Wirel. Commun.
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong
2023 A* conf
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach.
ICML
Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong
2023 J jnl
Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality.
SIAM J. Optim.
Ioannis C. Tsaknakis, Mingyi Hong, Shuzhong Zhang
2023 J jnl
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning.
IEEE Trans. Signal Process.
Sagar Shrestha, Xiao Fu, Mingyi Hong
2023 J jnl
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems.
SIAM J. Optim.
Junyu Zhang, Mengdi Wang, Mingyi Hong, Shuzhong Zhang
2023 A* conf
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
NeurIPS
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023 J jnl
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
CoRR
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023 Misc conf
Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach.
ICASSP
Sagar Shrestha, Xiao Fu, Mingyi Hong
2023 J jnl
Towards Understanding Asynchronous Advantage Actor-Critic: Convergence and Linear Speedup.
IEEE Trans. Signal Process.
Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen
2023 — conf
Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables.
SPAWC
Bingqing Song, Zhicheng Zhou, Chenliang Li, Dongning Guo, Xiao Fu, Mingyi Hong
2023 A* conf
Understanding Backdoor Attacks through the Adaptability Hypothesis.
ICML
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 J jnl
Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
CoRR
Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2023 J jnl
Understanding a Class of Decentralized and Federated Optimization Algorithms: A Multirate Feedback Control Perspective.
SIAM J. Optim.
Xinwei Zhang, Mingyi Hong, Nicola Elia
2023 A* conf
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens.
NeurIPS
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
2023 J jnl
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens.
CoRR
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
2023 A* conf
What Is Missing in IRM Training and Evaluation? Challenges and Solutions.
ICLR
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
2023 J jnl
What Is Missing in IRM Training and Evaluation? Challenges and Solutions.
CoRR
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
2023 A* conf
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
NeurIPS
Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2022 J jnl
A Framework for Understanding Model Extraction Attack and Defense.
CoRR
Xun Xian, Mingyi Hong, Jie Ding
2022 A* conf
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization.
NeurIPS
Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
2022 A* conf
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms.
ICML
Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Nicola Elia
2022 A* conf
Advancing Model Pruning via Bi-level Optimization.
NeurIPS
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022 J jnl
Advancing Model Pruning via Bi-level Optimization.
CoRR
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022 Misc conf
An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems.
ICASSP
Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong
2022 A* conf
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.
ICLR
Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu
2022 J jnl
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models.
IEEE Trans. Signal Process.
Sagar Shrestha, Xiao Fu, Mingyi Hong
2022 J jnl
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale.
CoRR
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022 A* conf
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity.
NeurIPS
Bingqing Song, Ioannis C. Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong
2022 A conf
Distributed adversarial training to robustify deep neural networks at scale.
UAI
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022 J jnl
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features.
IEEE Trans. Signal Process.
Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang
2022 A* conf
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective.
ICLR
Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
2022 J jnl
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective.
CoRR
Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
2022 A* conf
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence.
NeurIPS
Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2022 J jnl
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective.
IEEE Trans. Signal Process.
Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2022 — conf
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees.
L4DC
Siliang Zeng, Tianyi Chen, Alfredo García, Mingyi Hong
2022 A* conf
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees.
NeurIPS
Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2022 Misc conf
Mismatched Supervised Learning.
ICASSP
Xun Xian, Mingyi Hong, Jie Ding
2022 J jnl
On lower iteration complexity bounds for the convex concave saddle point problems.
Math. Program.
Junyu Zhang, Mingyi Hong, Shuzhong Zhang
2022 J jnl
On the Divergence of Decentralized Nonconvex Optimization.
SIAM J. Optim.
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun
2022 J jnl
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning.
CoRR
Sagar Shrestha, Xiao Fu, Mingyi Hong
2022 J jnl
Parallel Assisted Learning.
IEEE Trans. Signal Process.
Xinran Wang, Jiawei Zhang, Mingyi Hong, Yuhong Yang, Jie Ding
2022 A* conf
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
ICML
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2022 J jnl
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses.
IEEE Trans. Signal Process.
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2022 J jnl
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees.
CoRR
Siliang Zeng, Mingyi Hong, Alfredo García
2022 J jnl
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective.
CoRR
Xinwei Zhang, Mingyi Hong, Nicola Elia
2022 A* conf
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy.
ICML
Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi
2022 — conf
Understanding Model Extraction Games.
TPS-ISA
Xun Xian, Mingyi Hong, Jie Ding
2022 J jnl
When Expressivity Meets Trainability: Fewer than n Neurons Can Work.
CoRR
Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo
2022 J jnl
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning.
CoRR
Ioannis C. Tsaknakis, Bhavya Kailkhura, Sijia Liu, Donald Loveland, James Diffenderfer, Anna Maria Hiszpanski, Mingyi Hong
2021 J jnl
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.
CoRR
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021 A* conf
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum.
NeurIPS
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021 A* conf
Decentralized Riemannian Gradient Descent on the Stiefel Manifold.
ICML
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2021 J jnl
Decentralized Riemannian Gradient Descent on the Stiefel Manifold.
CoRR
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2021 Misc conf
Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation.
ICASSP
Sagar Shrestha, Xiao Fu, Mingyi Hong
2021 J jnl
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models.
CoRR
Sagar Shrestha, Xiao Fu, Mingyi Hong
2021 J jnl
Efficient Resource Allocation for Multi-UAV Communication Against Adjacent and Co-Channel Interference.
IEEE Trans. Veh. Technol.
Lingyun Zhou, Xihan Chen, Mingyi Hong, Shi Jin, Qingjiang Shi
2021 J jnl
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data.
IEEE Trans. Signal Process.
Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
2021 Misc conf
Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence.
ICASSP
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2021 A conf
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function.
AISTATS
Ioannis C. Tsaknakis, Mingyi Hong
2021 A conf
Generalization Bounds for Stochastic Saddle Point Problems.
AISTATS
Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang
2021 J jnl
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima.
CoRR
Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2021 — conf
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations.
ACSCC
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021 Misc conf
Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment.
ICASSP
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2021 J jnl
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective.
CoRR
Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2021 J jnl
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees.
CoRR
Siliang Zeng, Tianyi Chen, Alfredo García, Mingyi Hong
2021 J jnl
Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems.
IEEE Trans. Signal Process.
Songtao Lu, Jason D. Lee, Meisam Razaviyayn, Mingyi Hong
2021 J jnl
Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
IEEE Trans. Circuits Syst. Video Technol.
Kexin Tang, Nuowen Kan, Junni Zou, Chenglin Li, Xiao Fu, Mingyi Hong, Hongkai Xiong
2021 J jnl
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations.
CoRR
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021 J jnl
On the Local Linear Rate of Consensus on the Stiefel Manifold.
CoRR
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2021 J jnl
Online Proximal-ADMM for Time-Varying Constrained Convex Optimization.
IEEE Trans. Signal Inf. Process. over Networks
Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong
2021 A* conf
RMSprop converges with proper hyper-parameter.
ICLR
Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun
2021 J jnl
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
CoRR
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2021 A* conf
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
NeurIPS
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2021 J jnl
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
CoRR
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2021 J jnl
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses.
CoRR
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2021 — conf
To Supervise or Not to Supervise: How to Effectively Learn Wireless Interference Management Models?
SPAWC
Bingqing Song, Haoran Sun, Wenqiang Pu, Sijia Liu, Mingyi Hong
2021 J jnl
To Supervise or Not: How to Effectively Learn Wireless Interference Management Models?
CoRR
Bingqing Song, Haoran Sun, Wenqiang Pu, Sijia Liu, Mingyi Hong
2021 J jnl
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy.
CoRR
Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Jinfeng Yi
2021 A* conf
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work.
NeurIPS
Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo
2020 J jnl
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization.
Math. Oper. Res.
Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
2020 J jnl
A Study of Piecewise Linear-Quadratic Programs.
J. Optim. Theory Appl.
Ying Cui, Tsung-Hui Chang, Mingyi Hong, Jong-Shi Pang
2020 C conf
A Sum-of-Squares Optimization Method for Learning and Controlling Photovoltaic Systems.
ACC
Xinwei Zhang, Victor Purba, Mingyi Hong, Sairaj V. Dhople
2020 J jnl
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
CoRR
Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2020 J jnl
Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup.
CoRR
Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen
2020 Misc conf
Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack.
ICASSP
Ioannis C. Tsaknakis, Mingyi Hong, Sijia Liu
2020 J jnl
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms.
IEEE J. Sel. Top. Signal Process.
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2020 J jnl
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
CoRR
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
2020 J jnl
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond.
IEEE Signal Process. Mag.
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
2020 A* conf
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
NeurIPS
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong
2020 J jnl
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.
CoRR
Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
2020 A* conf
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems.
NeurIPS
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2020 J jnl
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications.
IEEE Trans. Signal Process.
Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong, Yongxin Chen
2020 J jnl
Hybrid Federated Learning: Algorithms and Implementation.
CoRR
Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen
2020 J jnl
Imitation Privacy.
CoRR
Xun Xian, Xinran Wang, Mingyi Hong, Jie Ding, Reza Ghanadan
2020 A* conf
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking.
ICML
Haoran Sun, Songtao Lu, Mingyi Hong
2020 — conf
Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems.
SPAWC
Lingyun Zhou, Yihong Dong, Mingyi Hong, Qingjiang Shi
2020 J jnl
Joint Channel Assignment and Power Allocation for Multi-UAV Communication.
CoRR
Lingyun Zhou, Xihan Chen, Mingyi Hong, Shi Jin, Qingjiang Shi
2020 — conf
Learned Conjugate Gradient Descent Network for Massive MIMO Detection.
ICC
Yi Wei, Ming-Min Zhao, Mingyi Hong, Min-Jian Zhao, Ming Lei
2020 J jnl
Learned Conjugate Gradient Descent Network for Massive MIMO Detection.
IEEE Trans. Signal Process.
Yi Wei, Ming-Min Zhao, Mingyi Hong, Min-Jian Zhao, Ming Lei
2020 J jnl
Learning to Beamform in Heterogeneous Massive MIMO Networks.
CoRR
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong
2020 J jnl
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment.
CoRR
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2020 A* conf
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.
ICML
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
2020 J jnl
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
CoRR
Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
2020 J jnl
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
IEEE Signal Process. Mag.
Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
2020 J jnl
On the Divergence of Decentralized Non-Convex Optimization.
CoRR
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun
2020 J jnl
Online Proximal-ADMM For Time-varying Constrained Optimization.
CoRR
Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong
2020 J jnl
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part I: Algorithms and Convergence Analysis.
IEEE Trans. Signal Process.
Qingjiang Shi, Mingyi Hong
2020 J jnl
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications.
IEEE Trans. Signal Process.
Qingjiang Shi, Mingyi Hong, Xiao Fu, Tsung-Hui Chang
2020 J jnl
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds.
CoRR
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee
2020 A* conf
Provably Efficient Neural GTD for Off-Policy Learning.
NeurIPS
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2020 J jnl
Spectrum Cartography via Coupled Block-Term Tensor Decomposition.
IEEE Trans. Signal Process.
Guoyong Zhang, Xiao Fu, Jun Wang, Xi-Le Zhao, Mingyi Hong
2020 A* conf
Understanding Gradient Clipping in Private SGD: A Geometric Perspective.
NeurIPS
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
2020 J jnl
Understanding Gradient Clipping in Private SGD: A Geometric Perspective.
CoRR
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
2019 J jnl
A Communication Efficient Vertical Federated Learning Framework.
CoRR
Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang
2019 J jnl
A linearly convergent doubly stochastic Gauss-Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems.
Math. Program.
Meisam Razaviyayn, Mingyi Hong, Navid Reyhanian, Zhi-Quan Luo
2019 Misc conf
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs.
ACSSC
Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong
2019 J jnl
Anchor-Free Correlated Topic Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
2019 Misc conf
Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications.
ICASSP
Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong
2019 Misc conf
Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography.
ACSSC
Guoyong Zhang, Xiao Fu, Jun Wang, Mingyi Hong
2019 Misc conf
DImplementing First-order Optimization Methods: Algorithmic Considerations and Bespoke Microcontrollers.
ACSSC
Xinwei Zhang, John Sartori, Mingyi Hong, Sairaj V. Dhople
2019 B conf
Deep Learning Based Preamble Detection and TOA Estimation.
GLOBECOM
Haoran Sun, Aliye Özge Kaya, Mike Macdonald, Harish Viswanathan, Mingyi Hong
2019 J jnl
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms.
CoRR
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2019 J jnl
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms.
IEEE Trans. Signal Process.
Haoran Sun, Mingyi Hong
2019 J jnl
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
CoRR
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong
2019 C conf
Efficient Distributed Optimization of Wind Farms Using Proximal Primal-Dual Algorithms.
ACC
Jennifer Annoni, Emiliano Dall'Anese, Mingyi Hong, Christopher J. Bay
2019 Misc conf
Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point.
ICASSP
Songtao Lu, Mingyi Hong, Zhengdao Wang
2019 — conf
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization.
DSW
Songtao Lu, Xinwei Zhang, Haoran Sun, Mingyi Hong
2019 J jnl
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach.
CoRR
Haoran Sun, Songtao Lu, Mingyi Hong
2019 — conf
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition.
DSW
Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2019 J jnl
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.
CoRR
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
2019 C conf
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
VCIP
Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong
2019 J jnl
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
CoRR
Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong
2019 A conf
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function.
UAI
Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
2019 — conf
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization.
ICLR (Poster)
Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong
2019 J jnl
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.
CoRR
Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
2019 J jnl
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator.
CoRR
Qi Cai, Mingyi Hong, Yongxin Chen, Zhaoran Wang
2019 A* conf
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization.
ICML
Songtao Lu, Mingyi Hong, Zhengdao Wang
2019 Misc conf
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems.
ICASSP
Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong
2019 J jnl
Perturbed proximal primal-dual algorithm for nonconvex nonsmooth optimization.
Math. Program.
Davood Hajinezhad, Mingyi Hong
2019 A* conf
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.
NeurIPS
Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
2019 J jnl
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems.
CoRR
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2019 J jnl
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data.
IEEE Trans. Signal Process.
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2019 A* conf
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.
IJCAI
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019 J jnl
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.
CoRR
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019 A* conf
Variance Reduced Policy Evaluation with Smooth Function Approximation.
NeurIPS
Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang
2019 A* conf
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.
NeurIPS
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
2019 J jnl
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.
CoRR
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
2019 J jnl
ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks.
IEEE Trans. Autom. Control.
Davood Hajinezhad, Mingyi Hong, Alfredo García
2019 — conf
signSGD via Zeroth-Order Oracle.
ICLR (Poster)
Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong
2018 J jnl
A Distributed Semiasynchronous Algorithm for Network Traffic Engineering.
IEEE Trans. Signal Inf. Process. over Networks
Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi-Quan Luo
2018 J jnl
A Distributed, Asynchronous, and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach.
IEEE Trans. Control. Netw. Syst.
Mingyi Hong
2018 — conf
A Finite Sample Analysis of the Actor-Critic Algorithm.
CDC
Zhuoran Yang, Kaiqing Zhang, Mingyi Hong, Tamer Basar
2018 J jnl
Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM.
IEEE Trans. Smart Grid
Yijian Zhang, Mingyi Hong, Emiliano Dall'Anese, Sairaj V. Dhople, Zi Xu
2018 J jnl
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms.
CoRR
Haoran Sun, Mingyi Hong
2018 Misc conf
Distributed Non-Convex First-Order optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms.
ACSSC
Haoran Sun, Mingyi Hong
2018 Misc conf
Distributed optimization for Generalized Phase Retrieval Over Networks.
ACSSC
Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar
2018 A* conf
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks.
ICML
Mingyi Hong, Meisam Razaviyayn, Jason D. Lee
2018 J jnl
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization.
CoRR
Mingyi Hong, Jason D. Lee, Meisam Razaviyayn
2018 Misc conf
Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition.
ICASSP
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2018 J jnl
Learning to Optimize: Training Deep Neural Networks for Interference Management.
IEEE Trans. Signal Process.
Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nicholas D. Sidiropoulos
2018 — conf
Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning.
SPAWC
Haoran Sun, Ziping Zhao, Xiao Fu, Mingyi Hong
2018 — conf
Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection.
SPAWC
Mohamed Salah Ibrahim, Aritra Konar, Mingyi Hong, Nicholas D. Sidiropoulos
2018 J jnl
Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection.
CoRR
Mohamed Salah Ibrahim, Aritra Konar, Mingyi Hong, Nicholas D. Sidiropoulos
2018 A* conf
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
NeurIPS
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018 J jnl
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
CoRR
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018 J jnl
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization.
CoRR
Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong
2018 J jnl
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions.
CoRR
Songtao Lu, Mingyi Hong, Zhengdao Wang
2018 Misc conf
Software Defined Resource Allocation for Service-Oriented Networks.
ICASSP
Nan Zhang, Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo
2018 J jnl
Spectral Efficiency Optimization For Millimeter Wave Multi-User MIMO Systems.
CoRR
Qingjiang Shi, Mingyi Hong
2018 J jnl
Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems.
IEEE J. Sel. Top. Signal Process.
Qingjiang Shi, Mingyi Hong
2018 J jnl
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data.
CoRR
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2017 J jnl
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality.
IEEE Trans. Signal Process.
Songtao Lu, Mingyi Hong, Zhengdao Wang
2017 A conf
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization.
AISTATS
Songtao Lu, Mingyi Hong, Zhengdao Wang
2017 Misc conf
A nonconvex splitting method for symmetric nonnegative matrix factorization: Convergence analysis and optimality.
ICASSP
Songtao Lu, Mingyi Hong, Zhengdao Wang
2017 — conf
Dynamic ADMM for real-time optimal power flow.
GlobalSIP
Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong
2017 B conf
Hybrid Transceiver Design for mmWave MIMO Systems with Non-Linear Power Consumption Model.
GLOBECOM
Xiongfei Zhai, Qingjiang Shi, Yunlong Cai, Mingyi Hong, Minjian Zhao
2017 J jnl
Iteration complexity analysis of block coordinate descent methods.
Math. Program.
Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn, Zhi-Quan Luo
2017 B conf
Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks with SWIPT.
WCNC
Ming-Min Zhao, Qingjiang Shi, Mingyi Hong, Yunlong Cai, Minjian Zhao
2017 J jnl
Joint Transceiver Designs for Full-Duplex $K$ -Pair MIMO Interference Channel With SWIPT.
IEEE Trans. Commun.
Ming-Min Zhao, Yunlong Cai, Qingjiang Shi, Mingyi Hong, Benoît Champagne
2017 J jnl
Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management.
CoRR
Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nikos D. Sidiropoulos
2017 — conf
Learning to optimize: Training deep neural networks for wireless resource management.
SPAWC
Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nikos D. Sidiropoulos
2017 J jnl
Network Slicing for Service-Oriented Networks Under Resource Constraints.
CoRR
Nan Zhang, Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo
2017 J jnl
Network Slicing for Service-Oriented Networks Under Resource Constraints.
IEEE J. Sel. Areas Commun.
Nan Zhang, Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo
2017 J jnl
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
J. Mach. Learn. Res.
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong
2017 J jnl
On the linear convergence of the alternating direction method of multipliers.
Math. Program.
Mingyi Hong, Zhi-Quan Luo
2017 J jnl
Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization.
CoRR
Qingjiang Shi, Mingyi Hong, Xiao Fu, Tsung-Hui Chang
2017 Misc conf
Penalty dual decomposition method with application in signal processing.
ICASSP
Qingjiang Shi, Mingyi Hong
2017 A* conf
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks.
ICML
Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao
2017 C conf
Regulation of renewable energy sources to optimal power flow solutions using ADMM.
ACC
Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong, Sairaj V. Dhople, Zi Xu
2017 J jnl
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis.
IEEE Trans. Signal Process.
Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So
2017 Misc conf
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization.
ICASSP
Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So
2017 J jnl
Stochastic Proximal Gradient Consensus Over Random Networks.
IEEE Trans. Signal Process.
Mingyi Hong, Tsung-Hui Chang
2017 A* conf
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering.
ICML
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2017 Misc conf
Traffic engineering for backhaul networks with wireless link scheduling.
ICASSP
Nan Zhang, Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi-Quan Luo
2016 J jnl
A First Order Free Lunch for SQRT-Lasso.
CoRR
Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
2016 J jnl
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing.
IEEE Signal Process. Mag.
Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo, Jong-Shi Pang
2016 — conf
A distributed algorithm for dictionary learning over networks.
GlobalSIP
Ming-Min Zhao, Qingjiang Shi, Mingyi Hong
2016 Misc conf
A penalty-BSUM approach for rate optimization in full-duplex MIMO relay networks with relay processing delay.
ICASSP
Qingjiang Shi, Mingyi Hong, Enbin Song, Yunlong Cai, WeiQiang Xu
2016 J jnl
Alternating direction method of multipliers for penalized zero-variance discriminant analysis.
Comput. Optim. Appl.
Brendan P. W. Ames, Mingyi Hong
2016 A conf
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
AISTATS
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong
2016 J jnl
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
CoRR
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong
2016 J jnl
Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis.
IEEE Trans. Signal Process.
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang
2016 J jnl
Asynchronous Distributed ADMM for Large-Scale Optimization - Part II: Linear Convergence Analysis and Numerical Performance.
IEEE Trans. Signal Process.
Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, Xiangfeng Wang
2016 Misc conf
Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis.
ICASSP
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang
2016 J jnl
Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems.
SIAM J. Optim.
Mingyi Hong, Zhi-Quan Luo, Meisam Razaviyayn
2016 J jnl
Decomposing Linearly Constrained Nonconvex Problems by a Proximal Primal Dual Approach: Algorithms, Convergence, and Applications.
CoRR
Mingyi Hong
2016 J jnl
Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks.
IEEE Trans. Wirel. Commun.
Mingyi Hong, Qiang Li, Ya-Feng Liu
2016 J jnl
Efficient Rate Allocation in Wireless Networks Under Incomplete Information.
IEEE Trans. Autom. Control.
Alfredo García, Mingyi Hong
2016 J jnl
Energy Efficiency Optimization for MISO SWIPT Systems With Zero-Forcing Beamforming.
IEEE Trans. Signal Process.
Qingjiang Shi, Cheng Peng, WeiQiang Xu, Mingyi Hong, Yunlong Cai
2016 J jnl
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization.
CoRR
Qingjiang Shi, Haoran Sun, Songtao Lu, Mingyi Hong, Meisam Razaviyayn
2016 J jnl
Joint Source-Relay Design for Full-Duplex MIMO AF Relay Systems.
CoRR
Qingjiang Shi, Mingyi Hong, Xiqi Gao, Enbin Song, Yunlong Cai, WeiQiang Xu
2016 J jnl
Joint Source-Relay Design for Full-Duplex MIMO AF Relay Systems.
IEEE Trans. Signal Process.
Qingjiang Shi, Mingyi Hong, Xiqi Gao, Enbin Song, Yunlong Cai, WeiQiang Xu
2016 — conf
Joint Transceiver Design for Full-Duplex K-Pair MIMO Interference Channel with Energy Harvesting.
VTC Fall
Yunlong Cai, Ming-Min Zhao, Qingjiang Shi, Mingyi Hong, Benoît Champagne
2016 — conf
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization.
NIPS
Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang
2016 J jnl
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization.
CoRR
Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang
2016 Misc conf
Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis.
ICASSP
Davood Hajinezhad, Tsung-Hui Chang, Xiangfeng Wang, Qingjiang Shi, Mingyi Hong
2016 — ch.
Optimization algorithms for big data with application in wireless networks.
Big Data over Networks
Mingyi Hong, Wei-Cheng Liao, Ruoyu Sun, Zhi-Quan Luo
2016 Misc conf
Quantized consensus ADMM for multi-agent distributed optimization.
ICASSP
Shengyu Zhu, Mingyi Hong, Biao Chen
2016 J jnl
SINR Constrained Beamforming for a MIMO Multi-User Downlink System: Algorithms and Convergence Analysis.
IEEE Trans. Signal Process.
Qingjiang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
2016 J jnl
Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control.
IEEE Trans. Wirel. Commun.
Ya-Feng Liu, Mingyi Hong, Enbin Song
2016 Misc conf
Stochastic proximal gradient consensus over time-varying networks.
ICASSP
Mingyi Hong, Tsung-Hui Chang
2016 J jnl
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering.
CoRR
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2015 J jnl
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis.
CoRR
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang
2015 J jnl
Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance.
CoRR
Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, Xiangfeng Wang
2015 Misc conf
Combining sparse NMF with deep neural network: A new classification-based approach for speech enhancement.
ICASSP
Hung-Wei Tseng, Mingyi Hong, Zhi-Quan Luo
2015 Misc conf
Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems.
ICASSP
Mingyi Hong, Zhi-Quan Luo, Meisam Razaviyayn
2015 — conf
Energy efficiency optimization for multi-user MISO swipt systems.
ChinaSIP
Cheng Peng, Qingjiang Shi, WeiQiang Xu, Mingyi Hong
2015 — conf
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems.
NIPS
Ruoyu Sun, Mingyi Hong
2015 Misc conf
Incorporating spatial information in binaural beamforming for noise suppression in hearing aids.
ICASSP
Wei-Cheng Liao, Mingyi Hong, Ivo Merks, Tao Zhang, Zhi-Quan Luo
2015 J jnl
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity.
IEEE J. Sel. Areas Commun.
Ruoyu Sun, Mingyi Hong, Zhi-Quan Luo
2015 J jnl
Multi-Agent Distributed Optimization via Inexact Consensus ADMM.
IEEE Trans. Signal Process.
Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
2015 — conf
Nonconvex alternating direction method of multipliers for distributed sparse principal component analysis.
GlobalSIP
Davood Hajinezhad, Mingyi Hong
2015 J jnl
SINR Constrained Beamforming for a MIMO Multi-user Downlink System.
CoRR
Qingjiang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
2015 Misc conf
Semi-asynchronous routing for large scale hierarchical networks.
ICASSP
Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi-Quan Luo
2015 J jnl
Stochastic Proximal Gradient Consensus Over Random Networks.
CoRR
Mingyi Hong, Tsung-Hui Chang
2014 J jnl
A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Based Approach.
CoRR
Mingyi Hong
2014 Misc conf
A block coordinate descent method of multipliers: Convergence analysis and applications.
ICASSP
Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
2014 J jnl
Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks.
IEEE Trans. Signal Process.
Wei-Cheng Liao, Mingyi Hong, Ya-Feng Liu, Zhi-Quan Luo
2014 J jnl
Cross Layer Provision of Future Cellular Networks.
CoRR
Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun
2014 J jnl
Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach.
IEEE Signal Process. Mag.
Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun
2014 J jnl
Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming.
IEEE Trans. Commun.
José Joaquín Escudero Garzás, Mingyi Hong, Alfredo García, Ana García Armada
2014 J jnl
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity.
CoRR
Ruoyu Sun, Mingyi Hong, Zhi-Quan Luo
2014 — conf
Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information.
SPAWC
Maziar Sanjabi, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo
2014 Misc conf
Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers.
ICASSP
Xiangfeng Wang, Mingyi Hong, Tsung-Hui Chang, Meisam Razaviyayn, Zhi-Quan Luo
2014 Misc conf
Max-min network flow and resource allocation for backhaul constrained heterogeneous wireless networks.
ICASSP
Wei-Cheng Liao, Mingyi Hong, Zhi-Quan Luo
2014 J jnl
Min Flow Rate Maximization for Software Defined Radio Access Networks.
IEEE J. Sel. Areas Commun.
Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Xu Li, Zhi-Quan Luo, Hang Zhang
2014 J jnl
Multi-Agent Distributed Optimization via Inexact Consensus ADMM.
CoRR
Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
2014 Misc conf
Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers.
ICASSP
Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
2014 J jnl
Outage Constrained Robust Secure Transmission for MISO Wiretap Channels.
IEEE Trans. Wirel. Commun.
Shuai Ma, Mingyi Hong, Enbin Song, Xiangfeng Wang, Dechun Sun
2014 — conf
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization.
NIPS
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo, Jong-Shi Pang
2014 — conf
Power-efficient operation of wireless heterogeneous networks using Smart Grids.
SmartGridComm
Mingyi Hong, Hao Zhu
2014 J jnl
Semidefinite Approximation for Mixed Binary Quadratically Constrained Quadratic Programs.
SIAM J. Optim.
Zi Xu, Mingyi Hong, Zhi-Quan Luo
2013 J jnl
A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization.
SIAM J. Optim.
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
2013 Misc conf
A novel single channel speech enhancement approach by combining Wiener filter and dictionary learning.
ICASSP
Hung-Wei Tseng, Srikanth Vishnubhotla, Mingyi Hong, Jinjun Xiao, Zhi-Quan Luo, Tao Zhang
2013 A conf
A single channel speech enhancement approach by combining statistical criterion and multi-frame sparse dictionary learning.
INTERSPEECH
Hung-Wei Tseng, Srikanth Vishnubhotla, Mingyi Hong, Xiangfeng Wang, Jinjun Xiao, Zhi-Quan Luo, Tao Zhang
2013 Misc conf
An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints.
ICASSP
Qiang Li, Mingyi Hong, Hoi-To Wai, Wing-Kin Ma, Ya-Feng Liu, Zhi-Quan Luo
2013 B conf
Auction design for spectrum allocation under interference constraints.
GLOBECOM
Jorge Barrera, Alfredo García, Mingyi Hong
2013 J jnl
Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks.
CoRR
Wei-Cheng Liao, Mingyi Hong, Ya-Feng Liu, Zhi-Quan Luo
2013 Misc conf
Base station activation and linear transceiver design for utility maximization in Heterogeneous networks.
ICASSP
Wei-Cheng Liao, Mingyi Hong, Zhi-Quan Luo
2013 Misc conf
Derivative-free optimization of hearing aid parameters.
ICASSP
Shu-Hsien Chu, Mingyi Hong, Zhi-Quan Luo, Kelly Fitz, Martin F. McKinney, Tao Zhang
2013 J jnl
Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network.
IEEE Trans. Signal Process.
Mingyi Hong, Zhi-Quan Luo
2013 J jnl
Joint Access Point Selection and Power Allocation for Uplink Wireless Networks.
IEEE Trans. Signal Process.
Mingyi Hong, Alfredo García, Jorge Barrera, Stephen G. Wilson
2013 J jnl
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks.
IEEE J. Sel. Areas Commun.
Mingyi Hong, Ruoyu Sun, Hadi Baligh, Zhi-Quan Luo
2013 J jnl
Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds.
IEEE J. Sel. Areas Commun.
Mingyi Hong, Zi Xu, Meisam Razaviyayn, Zhi-Quan Luo
2013 J jnl
Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness.
Signal Process.
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
2013 J jnl
Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel is Polynomial Time Solvable.
IEEE Signal Process. Lett.
Ya-Feng Liu, Mingyi Hong, Yu-Hong Dai
2013 J jnl
Min Flow Rate Maximization for Software Defined Radio Access Networks.
CoRR
Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Xu Li, Zhi-Quan Luo, Hang Zhang
2013 J jnl
Outage Constrained Robust Secure Transmission for MISO Wiretap Channels.
CoRR
Shuai Ma, Mingyi Hong, Enbin Song, Xiangfeng Wang, Dechun Sun
2013 J jnl
Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers.
CoRR
Xiangfeng Wang, Mingyi Hong, Shiqian Ma, Zhi-Quan Luo
2013 J jnl
Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization.
IEEE J. Sel. Areas Commun.
Qiang Li, Mingyi Hong, Hoi-To Wai, Ya-Feng Liu, Wing-Kin Ma, Zhi-Quan Luo
2012 J jnl
"Cap and Trade" for Congestion Control.
Dyn. Games Appl.
Alfredo García, Mingyi Hong, Jorge Barrera
2012 J jnl
An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization
CoRR
Chenyang Li, Mingyi Hong, Randy Cogill, Alfredo García
2012 J jnl
Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks.
CoRR
Mingyi Hong, Qiang Li, Ya-Feng Liu, Zhi-Quan Luo
2012 J jnl
Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network
CoRR
Mingyi Hong, Zhi-Quan Luo
2012 J jnl
Joint Access Point Selection and Power Allocation for Uplink Wireless Networks
CoRR
Mingyi Hong, Alfredo García, Jorge Barrera, Stephen G. Wilson
2012 J jnl
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks
CoRR
Mingyi Hong, Ruoyu Sun, Hadi Baligh, Zhi-Quan Luo
2012 J jnl
Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds
CoRR
Mingyi Hong, Zi Xu, Meisam Razaviyayn, Zhi-Quan Luo
2012 Misc conf
Joint linear precoder optimization and base station selection for an uplink MIMO network: A game theoretic approach.
ICASSP
Mingyi Hong, Zhi-Quan Luo
2012 — conf
Joint transceiver design and base station clustering for heterogeneous networks.
ACSCC
Mingyi Hong, Meisam Razaviyayn, Ruoyu Sun, Zhi-Quan Luo
2012 J jnl
Linear Transceiver Design for a MIMO Interfering Broadcast Channel Achieving Max-Min Fairness
CoRR
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
2012 J jnl
Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network
CoRR
Mingyi Hong, Alfredo García
2012 J jnl
Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network.
IEEE J. Sel. Areas Commun.
Mingyi Hong, Alfredo García
2012 — conf
Optimal joint base station assignment and power allocation in a cellular network.
SPAWC
Ruoyu Sun, Mingyi Hong, Zhi-Quan Luo
2012 — conf
SINR constrained beamforming for a MIMO multi-user downlink system.
ACSCC
Qingjiang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
2012 J jnl
Signal Processing and Optimal Resource Allocation for the Interference Channel
CoRR
Mingyi Hong, Zhi-Quan Luo
2011 J jnl
Averaged Iterative Water-Filling Algorithm: Robustness and Convergence
CoRR
Mingyi Hong, Alfredo García
2011 J jnl
Averaged Iterative Water-Filling Algorithm: Robustness and Convergence.
IEEE Trans. Signal Process.
Mingyi Hong, Alfredo García
2011 J jnl
Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part I: Equilibria and Algorithms for Power Allocation
CoRR
Mingyi Hong, Alfredo García, Stephen G. Wilson
2011 J jnl
Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part II: Equilibria and Algorithms for Joint Access Point Selection and Power Allocation
CoRR
Mingyi Hong, Alfredo García, Jorge Barrera
2011 J jnl
Equilibrium Pricing of Interference in Cognitive Radio Networks.
IEEE Trans. Signal Process.
Mingyi Hong, Alfredo García
2011 J jnl
Joint Distributed Access Point Selection and Power Allocation in Cognitive Radio Networks
CoRR
Mingyi Hong, Alfredo García, Jorge Barrera
2011 A* conf
Joint distributed access point selection and power allocation in cognitive radio networks.
INFOCOM
Mingyi Hong, Alfredo García, Jorge Barrera
2011 — conf
Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness.
ACSCC
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
2011 J jnl
Lower Bounds Optimization for Coordinated Linear Transmission Beamformer Design in Multicell Network Downlink
CoRR
Mingyi Hong, Alfredo García, José Joaquín Escudero Garzás, Ana García Armada
2011 A conf
Quantitative uncertainty-based incremental localization and anchor selection in wireless sensor networks.
MSWiM
Zhiheng Xie, Mingyi Hong, Hengchang Liu, Jingyuan Li, Kangyuan Zhu, John A. Stankovic
2010 B conf
Competitive sharing of the spectrum in cognitive radio network: A market equilibrium framework.
WiOpt
Mingyi Hong, Alfredo García
2010 J jnl
Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation.
IEEE J. Sel. Top. Signal Process.
Mingyi Hong, Mónica F. Bugallo, Petar M. Djuric
2009 Misc conf
Marginalized population Monte Carlo.
ICASSP
Mónica F. Bugallo, Mingyi Hong, Petar M. Djuric