Ruoyu Sun - RankMe

133 papers A* 33Misc 2Journal 86Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adam Converges Without Any Modification On Update Rules. CoRR Yushun Zhang, Bingran Li, Congliang Chen, Zhi-Quan Luo, Ruoyu Sun
2026	—	`conf`	Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives. EACL (Findings) Yajiao Liu, Congliang Chen, Junchi Yang, Ruoyu Sun
2025	A*	`conf`	A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality. EMNLP Hanbo Huang, Yihan Li, Bowen Jiang, Bo Jiang, Lin Liu, Zhuotao Liu, Ruoyu Sun, Shiyu Liang
2025	A*	`conf`	Adam-mini: Use Fewer Learning Rates To Gain More. ICLR Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik P. Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2025	J	`jnl`	Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem Solving. CoRR Tianyun Yang, Yunwen Li, Ziniu Li, Zhihang Lin, Ruoyu Sun, Tian Ding
2025	J	`jnl`	CoRT: Code-integrated Reasoning within Thinking. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2025	J	`jnl`	Enabling Scalable Oversight via Self-Evolving Critic. CoRR Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin
2025	J	`jnl`	Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective. CoRR Senmiao Wang, Yupeng Chen, Yushun Zhang, Ruoyu Sun, Tian Ding
2025	J	`jnl`	Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective. Trans. Mach. Learn. Res. Senmiao Wang, Yupeng Chen, Yushun Zhang, Ruoyu Sun, Tian Ding
2025	J	`jnl`	Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices. CoRR Qingyu Han, Qian Li, Linxin Yang, Qian Chen, Qingjiang Shi, Ruoyu Sun
2025	J	`jnl`	Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation. CoRR Ziniu Li, Congliang Chen, Tianyun Yang, Tian Ding, Ruoyu Sun, Ge Zhang, Wenhao Huang, Zhi-Quan Luo
2025	J	`jnl`	MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning. Trans. Mach. Learn. Res. Yupeng Chen, Senmiao Wang, Yushun Zhang, Zhihang Lin, Haozhe Zhang, Weijian Sun, Tian Ding, Ruoyu Sun
2025	J	`jnl`	ORGEval: Graph-Theoretic Evaluation of LLMs in Optimization Modeling. CoRR Zhuohan Wang, Ziwei Zhu, Ziniu Li, Congliang Chen, Yizhou Han, Yufeng Lin, Zhihang Lin, Angyang Gu, Xinglin Hu, Ruoyu Sun, Tian Ding
2025	J	`jnl`	On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks. Trans. Mach. Learn. Res. Chenyang Wu, Qian Chen, Akang Wang, Tian Ding, Ruoyu Sun, Wenguo Yang, Qingjiang Shi
2025	J	`jnl`	Online SFT for LLM Reasoning: Surprising Effectiveness of Self-Tuning without Rewards. CoRR Mengqi Li, Lei Zhao, Anthony Man-Cho So, Ruoyu Sun, Xiao Li
2025	A*	`conf`	Preserving Diversity in Supervised Fine-Tuning of Large Language Models. ICLR Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, Ruoyu Sun
2025	J	`jnl`	RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques. CoRR Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin
2025	J	`jnl`	Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives. CoRR Yajiao Liu, Congliang Chen, Junchi Yang, Ruoyu Sun
2025	—	`conf`	Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion. ACL (1) Jianqing Zhu, Huang Huang, Zhihang Lin, Juhao Liang, Zhengyang Tang, Khalid Almubarak, Mosen Alharthi, Bang An, Juncai He, Xiangbo Wu, Fei Yu, Junying Chen, Zhuoheng Ma, Yuhao Du, He Zhang, Saied Alshahrani, Emad A. Alghamdi, Lian Zhang, Ruoyu Sun, Haizhou Li, Benyou Wang, Jinchao Xu
2025	J	`jnl`	Teaching Language Models to Reason with Tools. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2025	A*	`conf`	Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming. ICLR Qian Li, Minghui Ouyang, Tian Ding, Yuyi Wang, Qingjiang Shi, Ruoyu Sun
2025	J	`jnl`	Towards Quantifying the Hessian Structure of Neural Networks. CoRR Zhaorui Dong, Yushun Zhang, Zhi-Quan Luo, Jianfeng Yao, Ruoyu Sun
2025	J	`jnl`	VCORE: Variance-Controlled Optimization-based Reweighting for Chain-of-Thought Supervision. CoRR Xuan Gong, Senmiao Wang, Hanbo Huang, Ruoyu Sun, Shiyu Liang
2025	A*	`conf`	When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach. ICLR Qian Chen, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi
2025	J	`jnl`	When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach. CoRR Chen Qian, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi
2024	—	`conf`	AceGPT, Localizing Large Language Models in Arabic. NAACL-HLT Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Mosen Alharthi, Bang An, Juncai He, Ziche Liu, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu
2024	J	`jnl`	Adam-mini: Use Fewer Learning Rates To Gain More. CoRR Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2024	J	`jnl`	An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling. CoRR Linxin Yang, Bingheng Li, Tian Ding, Jianghua Wu, Akang Wang, Yuyi Wang, Jiliang Tang, Ruoyu Sun, Xiaodong Luo
2024	J	`jnl`	Archilles' Heel in Semi-open LLMs: Hiding Bottom against Recovery Attacks. CoRR Hanbo Huang, Yihan Li, Bowen Jiang, Lin Liu, Ruoyu Sun, Zhuotao Liu, Shiyu Liang
2024	A*	`conf`	Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. COLT Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie Su
2024	J	`jnl`	Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. CoRR Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J. Su
2024	J	`jnl`	Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. CoRR Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
2024	A*	`conf`	How Graph Neural Networks Learn: Lessons from Training Dynamics. ICML Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
2024	A*	`conf`	LEMON: Lossless model expansion. ICLR Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
2024	J	`jnl`	MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning. CoRR Yupeng Chen, Senmiao Wang, Zhihang Lin, Zeyu Qin, Yushun Zhang, Tian Ding, Ruoyu Sun
2024	J	`jnl`	On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond. CoRR Bohan Wang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Wei Chen
2024	A*	`conf`	On the Power of Small-size Graph Neural Networks for Linear Programming. NeurIPS Qian Li, Tian Ding, Linxin Yang, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun
2024	A*	`conf`	PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. ICML Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024	J	`jnl`	PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. CoRR Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024	A*	`conf`	Provable Adaptivity of Adam under Non-uniform Smoothness. KDD Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen
2024	A*	`conf`	ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. ICML Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2024	J	`jnl`	Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion. CoRR Jianqing Zhu, Huang Huang, Zhihang Lin, Juhao Liang, Zhengyang Tang, Khalid Almubarak, Abdulmohsen Alharthik, Bang An, Juncai He, Xiangbo Wu, Fei Yu, Junying Chen, Zhuoheng Ma, Yuhao Du, He Zhang, Emad A. Alghamdi, Lian Zhang, Ruoyu Sun, Haizhou Li, Benyou Wang, Jinchao Xu
2024	A*	`conf`	SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization. NeurIPS Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang
2024	—	`conf`	Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization. EMNLP (Findings) Heshen Zhan, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun
2024	A*	`conf`	Why Transformers Need Adam: A Hessian Perspective. NeurIPS Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
2024	J	`jnl`	Why Transformers Need Adam: A Hessian Perspective. CoRR Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
2023	A*	`conf`	A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming. ICLR Qingyu Han, Linxin Yang, Qian Chen, Xiang Zhou, Dong Zhang, Akang Wang, Ruoyu Sun, Xiaodong Luo
2023	J	`jnl`	AceGPT, Localizing Large Language Models in Arabic. CoRR Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Abdulmohsen Alharthi, Bang An, Ziche Liu, Zhiyi Zhang, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu
2023	A*	`conf`	Balanced Training for Sparse GANs. NeurIPS Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun
2023	J	`jnl`	Double Dynamic Sparse Training for GANs. CoRR Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun
2023	J	`jnl`	How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. CoRR Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
2023	J	`jnl`	Invariant Layers for Graphs with Nodes of Different Types. CoRR Dmitry Rybin, Ruoyu Sun, Zhi-Quan Luo
2023	J	`jnl`	LEMON: Lossless model expansion. CoRR Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
2023	A*	`conf`	NTK-SAP: Improving neural network pruning by aligning training dynamics. ICLR Yite Wang, Dawei Li, Ruoyu Sun
2023	J	`jnl`	NTK-SAP: Improving neural network pruning by aligning training dynamics. CoRR Yite Wang, Dawei Li, Ruoyu Sun
2023	A*	`conf`	PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization. NeurIPS Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
2023	J	`jnl`	PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization. CoRR Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
2023	J	`jnl`	ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. CoRR Ziniu Li, Tian Xu, Yushun Zhang, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2023	J	`jnl`	Restricted Generative Projection for One-Class Classification and Anomaly Detection. CoRR Feng Xiao, Ruoyu Sun, Jicong Fan
2022	A*	`conf`	Adam Can Converge Without Any Modification On Update Rules. NeurIPS Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo
2022	J	`jnl`	Adam Can Converge Without Any Modification on Update Rules. CoRR Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo
2022	J	`jnl`	Adversarial Rademacher Complexity of Deep Neural Networks. CoRR Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Zhi-Quan Luo
2022	A*	`conf`	DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data. NeurIPS Tiantian Fang, Ruoyu Sun, Alexander G. Schwing
2022	J	`jnl`	DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data. CoRR Tiantian Fang, Ruoyu Sun, Alexander G. Schwing
2022	A*	`conf`	Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2022	A*	`conf`	Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CVPR Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li
2022	J	`jnl`	Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CoRR Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li
2022	J	`jnl`	On the Benefit of Width for Neural Networks: Disappearance of Basins. SIAM J. Optim. Dawei Li, Tian Ding, Ruoyu Sun
2022	J	`jnl`	On the landscape of one-hidden-layer sparse networks and beyond. Artif. Intell. Dachao Lin, Ruoyu Sun, Zhihua Zhang
2022	J	`jnl`	Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. SIAM J. Optim. Shiyu Liang, Ruoyu Sun, R. Srikant
2022	A*	`conf`	Stability Analysis and Generalization Bounds of Adversarial Training. NeurIPS Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo
2022	J	`jnl`	Stability Analysis and Generalization Bounds of Adversarial Training. CoRR Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo
2022	J	`jnl`	Suboptimal Local Minima Exist for Wide Neural Networks with Smooth Activations. Math. Oper. Res. Tian Ding, Dawei Li, Ruoyu Sun
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
2021	J	`jnl`	Achieving Small Test Error in Mildly Overparameterized Neural Networks. CoRR Shiyu Liang, Ruoyu Sun, R. Srikant
2021	A*	`conf`	Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data. NeurIPS Dachao Lin, Ruoyu Sun, Zhihua Zhang
2021	J	`jnl`	Federated Semi-Supervised Learning with Class Distribution Mismatch. CoRR Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang
2021	J	`jnl`	Momentum Doesn't Change the Implicit Bias. CoRR Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma
2021	J	`jnl`	On a Faster R-Linear Convergence Rate of the Barzilai-Borwein Method. CoRR Dawei Li, Ruoyu Sun
2021	A*	`conf`	PenDer: Incorporating Shape Constraints via Penalized Derivatives. AAAI Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson
2021	A*	`conf`	RMSprop converges with proper hyper-parameter. ICLR Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun
2021	J	`jnl`	Separation of Metabolites and Macromolecules for Short-TE IEEE Trans. Medical Imaging Yahang Li, Zepeng Wang, Ruoyu Sun, Fan Lam
2021	J	`jnl`	Towards Understanding the Impact of Model Size on Differential Private Classification. CoRR Yinchen Shen, Zhiguo Wang, Ruoyu Sun, Xiaojing Shen
2021	J	`jnl`	Two Symmetrized Coordinate Descent Methods Can Be O(n SIAM J. Optim. Peijun Xiao, Zhisheng Xiao, Ruoyu Sun
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
2021	J	`jnl`	Worst-case complexity of cyclic coordinate descent: O(n Math. Program. Ruoyu Sun, Yinyu Ye
2020	A*	`conf`	A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. NeurIPS Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo
2020	J	`jnl`	A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. CoRR Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo
2020	J	`jnl`	DEED: A General Quantization Scheme for Communication Efficiency in Bits. CoRR Tian Ye, Peijun Xiao, Ruoyu Sun
2020	J	`jnl`	Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets. CoRR Haoxiang Wang, Ruoyu Sun, Bo Li
2020	J	`jnl`	Landscape of Sparse Linear Network: A Brief Investigation. CoRR Dachao Lin, Ruoyu Sun, Zhihua Zhang
2020	J	`jnl`	On the Efficiency of Random Permutation for ADMM and Coordinate Descent. Math. Oper. Res. Ruoyu Sun, Zhi-Quan Luo, Yinyu Ye
2020	J	`jnl`	The Global Landscape of Neural Networks: An Overview. CoRR Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R. Srikant
2020	J	`jnl`	The Global Landscape of Neural Networks: An Overview. IEEE Signal Process. Mag. Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, Rayadurgam Srikant
2020	A*	`conf`	Towards a Better Global Loss Landscape of GANs. NeurIPS Ruoyu Sun, Tiantian Fang, Alexander G. Schwing
2020	J	`jnl`	Towards a Better Global Loss Landscape of GANs. CoRR Ruoyu Sun, Tiantian Fang, Alexander G. Schwing
2019	J	`jnl`	Globally Optimal Joint Uplink Base Station Association and Beamforming. IEEE Trans. Commun. Wei Liu, Ruoyu Sun, Zhi-Quan Luo
2019	A*	`conf`	Max-Sliced Wasserstein Distance and Its Use for GANs. CVPR Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
2019	J	`jnl`	Max-Sliced Wasserstein Distance and its use for GANs. CoRR Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
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`	Optimization for deep learning: theory and algorithms. CoRR Ruoyu Sun
2019	J	`jnl`	Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. CoRR Shiyu Liang, Ruoyu Sun, R. Srikant
2019	J	`jnl`	Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks. CoRR Tian Ding, Dawei Li, Ruoyu Sun
2019	J	`jnl`	Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. CoRR Peijun Xiao, Zhisheng Xiao, Ruoyu Sun
2018	A*	`conf`	Adding One Neuron Can Eliminate All Bad Local Minima. NeurIPS Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant
2018	J	`jnl`	Adding One Neuron Can Eliminate All Bad Local Minima. CoRR Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant
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`	Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations. CoRR Dawei Li, Tian Ding, Ruoyu Sun
2018	A*	`conf`	Understanding the Loss Surface of Neural Networks for Binary Classification. ICML Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant
2018	J	`jnl`	Understanding the Loss Surface of Neural Networks for Binary Classification. CoRR Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
2018	—	`conf`	Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification. ICLR (Workshop) Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
2016	J	`jnl`	Guaranteed Matrix Completion via Non-Convex Factorization. IEEE Trans. Inf. Theory Ruoyu Sun, Zhi-Quan Luo
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	J	`jnl`	Worst-case Complexity of Cyclic Coordinate Descent: $O(n^2)$ Gap with Randomized Version. CoRR Ruoyu Sun, Yinyu Ye
2015	J	`jnl`	Globally Optimal Joint Uplink Base Station Association and Beamforming. CoRR Wei Liu, Ruoyu Sun, Zhi-Quan Luo, Jiandong Li
2015	A*	`conf`	Guaranteed Matrix Completion via Nonconvex Factorization. FOCS Ruoyu Sun, Zhi-Quan Luo
2015	—	`conf`	Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems. NIPS Ruoyu Sun, Mingyi Hong
2015	J	`jnl`	Interference Alignment Using Finite and Dependent Channel Extensions: The Single Beam Case. IEEE Trans. Inf. Theory Ruoyu Sun, Zhi-Quan Luo
2015	—	`conf`	Interference alignment via Feasible Point Pursuit. SPAWC Aritra Konar, Ruoyu Sun, Nicholas D. Sidiropoulos, 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
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	Misc	`conf`	Globally optimal joint uplink base station association and power control for max-min fairness. ICASSP Ruoyu Sun, Zhi-Quan Luo
2014	J	`jnl`	Guaranteed Matrix Completion via Non-convex Factorization. CoRR Ruoyu Sun, Zhi-Quan Luo
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
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	—	`conf`	Long-term transmit point association for coordinated multipoint transmission by stochastic optimization. SPAWC Ruoyu Sun, Hadi Baligh, Zhi-Quan Luo
2013	J	`jnl`	Two Performance-limiting Factors for Interference Alignment: Channel Diversity Order and the Number of Data Streams Per User. CoRR Ruoyu Sun, Zhi-Quan Luo
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	—	`conf`	Joint transceiver design and base station clustering for heterogeneous networks. ACSCC Mingyi Hong, Meisam Razaviyayn, Ruoyu Sun, Zhi-Quan Luo
2012	—	`conf`	Optimal joint base station assignment and power allocation in a cellular network. SPAWC Ruoyu Sun, Mingyi Hong, Zhi-Quan Luo
2012	J	`jnl`	Robust SINR-Constrained MISO Downlink Beamforming: When is Semidefinite Programming Relaxation Tight? EURASIP J. Wirel. Commun. Netw. Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo
2011	Misc	`conf`	Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight? ICASSP Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo