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Ruoyu Sun 0001
Person information
- affiliation: Chinese University of Hong Kong, Shenzhen, China
- affiliation (former): University of Illinois Urbana-Champaign, IL, USA
- affiliation (PhD): University of Minnesota, Department of ECE, MN, USA
Other persons with the same name
- Ruoyu Sun 0002
— Cable Television Laboratories Inc, Louisville, CO, USA (and 2 more)
- Ruoyu Sun 0003 — Peking University, Key Lab of Machine Perception, Beijing, China
- Ruoyu Sun 0004 — Facebook AI Research
- Ruoyu Sun 0005
- Ruoyu Sun 0006
- Ruoyu Sun 0007
- Ruoyu Sun 0008 — Nanjing University of Finance and Economics, School of Business Administration, China
- Ruoyu Sun 0009 — Tsinghua University, Beijing, China
- Ruoyu Sun 0010 — University of Georgia, Department of Advertising and Public Relations, Athens, GA, USA
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2020 – today
- 2024
- [c36]Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie Su:
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. COLT 2024: 5074-5075 - [c35]Heshen Zhan, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun:
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization. EMNLP (Findings) 2024: 14825-14838 - [c34]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. ICLR 2024 - [c33]Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo:
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. ICML 2024 - [c32]Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun:
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. ICML 2024 - [c31]Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan:
How Graph Neural Networks Learn: Lessons from Training Dynamics. ICML 2024 - [c30]Bohan Wang
Provable Adaptivity of Adam under Non-uniform Smoothness. KDD 2024: 2960-2969 - [c29]Huang Huang
AceGPT, Localizing Large Language Models in Arabic. NAACL-HLT 2024: 8139-8163 - [i50]Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo:
Why Transformers Need Adam: A Hessian Perspective. CoRR abs/2402.16788 (2024) - [i49]Bohan Wang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Wei Chen:
On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond. CoRR abs/2403.15146 (2024) - [i48]Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun:
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. CoRR abs/2406.01908 (2024) - [i47]Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J. Su:
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. CoRR abs/2406.05372 (2024) - [i46]Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun:
Adam-mini: Use Fewer Learning Rates To Gain More. CoRR abs/2406.16793 (2024) - [i45]Yupeng Chen, Senmiao Wang, Zhihang Lin, Zeyu Qin, Yushun Zhang, Tian Ding, Ruoyu Sun:
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning. CoRR abs/2407.20999 (2024) - [i44]Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo:
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. CoRR abs/2408.16673 (2024) - [i43]Hanbo Huang, Yihan Li, Bowen Jiang, Lin Liu, Ruoyu Sun, Zhuotao Liu, Shiyu Liang:
Archilles' Heel in Semi-open LLMs: Hiding Bottom against Recovery Attacks. CoRR abs/2410.11182 (2024) - 2023
- [c28]Qingyu Han, Linxin Yang, Qian Chen, Xiang Zhou, Dong Zhang, Akang Wang, Ruoyu Sun, Xiaodong Luo:
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming. ICLR 2023 - [c27]Yite Wang, Dawei Li, Ruoyu Sun:
NTK-SAP: Improving neural network pruning by aligning training dynamics. ICLR 2023 - [c26]Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun:
Balanced Training for Sparse GANs. NeurIPS 2023 - [c25]Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo:
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization. NeurIPS 2023 - [i42]Dmitry Rybin, Ruoyu Sun, Zhi-Quan Luo:
Invariant Layers for Graphs with Nodes of Different Types. CoRR abs/2302.13551 (2023) - [i41]Yite Wang, Jing Wu
Double Dynamic Sparse Training for GANs. CoRR abs/2302.14670 (2023) - [i40]Yite Wang, Dawei Li, Ruoyu Sun:
NTK-SAP: Improving neural network pruning by aligning training dynamics. CoRR abs/2304.02840 (2023) - [i39]Feng Xiao, Ruoyu Sun, Jicong Fan:
Restricted Generative Projection for One-Class Classification and Anomaly Detection. CoRR abs/2307.04097 (2023) - [i38]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:
AceGPT, Localizing Large Language Models in Arabic. CoRR abs/2309.12053 (2023) - [i37]Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan:
How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. CoRR abs/2310.05105 (2023) - [i36]Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo:
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization. CoRR abs/2310.06182 (2023) - [i35]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. CoRR abs/2310.07999 (2023) - [i34]Ziniu Li, Tian Xu, Yushun Zhang, Yang Yu, Ruoyu Sun, Zhi-Quan Luo:
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. CoRR abs/2310.10505 (2023) - 2022
- [j16]Dachao Lin
On the landscape of one-hidden-layer sparse networks and beyond. Artif. Intell. 309: 103739 (2022) - [j15]Tian Ding
Suboptimal Local Minima Exist for Wide Neural Networks with Smooth Activations. Math. Oper. Res. 47(4): 2784-2814 (2022) - [j14]Dawei Li, Tian Ding
On the Benefit of Width for Neural Networks: Disappearance of Basins. SIAM J. Optim. 32(3): 1728-1758 (2022) - [j13]Shiyu Liang, Ruoyu Sun
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. SIAM J. Optim. 32(4): 2797-2827 (2022) - [c24]Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li:
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CVPR 2022: 9787-9798 - [c23]Tiantian Fang, Ruoyu Sun, Alexander G. Schwing:
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data. NeurIPS 2022 - [c22]Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS 2022 - [c21]Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo:
Stability Analysis and Generalization Bounds of Adversarial Training. NeurIPS 2022 - [c20]Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo:
Adam Can Converge Without Any Modification On Update Rules. NeurIPS 2022 - [i33]Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li:
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CoRR abs/2203.09137 (2022) - [i32]Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo:
Adam Can Converge Without Any Modification on Update Rules. CoRR abs/2208.09632 (2022) - [i31]Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo:
Stability Analysis and Generalization Bounds of Adversarial Training. CoRR abs/2210.00960 (2022) - [i30]Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo:
When Expressivity Meets Trainability: Fewer than n Neurons Can Work. CoRR abs/2210.12001 (2022) - [i29]Tiantian Fang, Ruoyu Sun, Alexander G. Schwing:
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data. CoRR abs/2211.14694 (2022) - [i28]Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Zhi-Quan Luo:
Adversarial Rademacher Complexity of Deep Neural Networks. CoRR abs/2211.14966 (2022) - 2021
- [j12]Ruoyu Sun
Worst-case complexity of cyclic coordinate descent: O(n2) gap with randomized version. Math. Program. 185(1-2): 487-520 (2021) - [j11]Peijun Xiao, Zhisheng Xiao, Ruoyu Sun:
Two Symmetrized Coordinate Descent Methods Can Be O(n2) Times Slower Than the Randomized Version. SIAM J. Optim. 31(4): 2726-2752 (2021) - [j10]Yahang Li
Separation of Metabolites and Macromolecules for Short-TE 1H-MRSI Using Learned Component-Specific Representations. IEEE Trans. Medical Imaging 40(4): 1157-1167 (2021) - [c19]Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson:
PenDer: Incorporating Shape Constraints via Penalized Derivatives. AAAI 2021: 11536-11544 - [c18]Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun:
RMSprop converges with proper hyper-parameter. ICLR 2021 - [c17]Dachao Lin, Ruoyu Sun, Zhihua Zhang:
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data. NeurIPS 2021: 4647-4660 - [c16]Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo:
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work. NeurIPS 2021: 9167-9180 - [i27]Dawei Li, Ruoyu Sun:
On a Faster R-Linear Convergence Rate of the Barzilai-Borwein Method. CoRR abs/2101.00205 (2021) - [i26]Shiyu Liang, Ruoyu Sun, R. Srikant:
Achieving Small Test Error in Mildly Overparameterized Neural Networks. CoRR abs/2104.11895 (2021) - [i25]Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma:
Momentum Doesn't Change the Implicit Bias. CoRR abs/2110.03891 (2021) - [i24]Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang:
Federated Semi-Supervised Learning with Class Distribution Mismatch. CoRR abs/2111.00010 (2021) - [i23]Yinchen Shen, Zhiguo Wang, Ruoyu Sun, Xiaojing Shen:
Towards Understanding the Impact of Model Size on Differential Private Classification. CoRR abs/2111.13895 (2021) - 2020
- [j9]Ruoyu Sun
On the Efficiency of Random Permutation for ADMM and Coordinate Descent. Math. Oper. Res. 45(1): 233-271 (2020) - [j8]Ruoyu Sun, Dawei Li
The Global Landscape of Neural Networks: An Overview. IEEE Signal Process. Mag. 37(5): 95-108 (2020) - [c15]Ruoyu Sun, Tiantian Fang, Alexander G. Schwing:
Towards a Better Global Loss Landscape of GANs. NeurIPS 2020 - [c14]Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo:
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. NeurIPS 2020 - [i22]Tian Ye, Peijun Xiao, Ruoyu Sun:
DEED: A General Quantization Scheme for Communication Efficiency in Bits. CoRR abs/2006.11401 (2020) - [i21]Haoxiang Wang, Ruoyu Sun, Bo Li:
Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets. CoRR abs/2006.14606 (2020) - [i20]Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R. Srikant:
The Global Landscape of Neural Networks: An Overview. CoRR abs/2007.01429 (2020) - [i19]Dachao Lin, Ruoyu Sun, Zhihua Zhang:
Landscape of Sparse Linear Network: A Brief Investigation. CoRR abs/2009.07439 (2020) - [i18]Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo:
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. CoRR abs/2010.15768 (2020) - [i17]Ruoyu Sun, Tiantian Fang, Alexander G. Schwing:
Towards a Better Global Loss Landscape of GANs. CoRR abs/2011.04926 (2020)
2010 – 2019
- 2019
- [j7]Wei Liu
Globally Optimal Joint Uplink Base Station Association and Beamforming. IEEE Trans. Commun. 67(9): 6456-6467 (2019) - [c13]Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing:
Max-Sliced Wasserstein Distance and Its Use for GANs. CVPR 2019: 10648-10656 - [c12]Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong:
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. ICLR (Poster) 2019 - [i16]Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing:
Max-Sliced Wasserstein Distance and its use for GANs. CoRR abs/1904.05877 (2019) - [i15]Peijun Xiao, Zhisheng Xiao, Ruoyu Sun:
Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. CoRR abs/1910.04366 (2019) - [i14]Tian Ding, Dawei Li, Ruoyu Sun:
Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks. CoRR abs/1911.01413 (2019) - [i13]Ruoyu Sun:
Optimization for deep learning: theory and algorithms. CoRR abs/1912.08957 (2019) - [i12]Shiyu Liang, Ruoyu Sun, R. Srikant:
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. CoRR abs/1912.13472 (2019) - 2018
- [c11]Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant:
Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification. ICLR (Workshop) 2018 - [c10]Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant:
Understanding the Loss Surface of Neural Networks for Binary Classification. ICML 2018: 2840-2849 - [c9]Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant:
Adding One Neuron Can Eliminate All Bad Local Minima. NeurIPS 2018: 4355-4365 - [i11]Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant:
Understanding the Loss Surface of Neural Networks for Binary Classification. CoRR abs/1803.00909 (2018) - [i10]Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant:
Adding One Neuron Can Eliminate All Bad Local Minima. CoRR abs/1805.08671 (2018) - [i9]Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong:
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. CoRR abs/1808.02941 (2018) - [i8]Dawei Li, Tian Ding, Ruoyu Sun:
Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations. CoRR abs/1812.11039 (2018) - 2016
- [j6]Ruoyu Sun
Guaranteed Matrix Completion via Non-Convex Factorization. IEEE Trans. Inf. Theory 62(11): 6535-6579 (2016) - [p1]Mingyi Hong, Wei-Cheng Liao, Ruoyu Sun, Zhi-Quan Luo:
Optimization algorithms for big data with application in wireless networks. Big Data over Networks 2016: 66-100 - [i7]Ruoyu Sun, Yinyu Ye:
Worst-case Complexity of Cyclic Coordinate Descent: $O(n^2)$ Gap with Randomized Version. CoRR abs/1604.07130 (2016) - 2015
- [j5]Ruoyu Sun, Mingyi Hong, Zhi-Quan Luo:
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity. IEEE J. Sel. Areas Commun. 33(6): 1040-1054 (2015) - [j4]Ruoyu Sun, Zhi-Quan Luo:
Interference Alignment Using Finite and Dependent Channel Extensions: The Single Beam Case. IEEE Trans. Inf. Theory 61(1): 239-255 (2015) - [c8]Ruoyu Sun, Zhi-Quan Luo:
Guaranteed Matrix Completion via Nonconvex Factorization. FOCS 2015: 270-289 - [c7]Ruoyu Sun, Mingyi Hong:
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems. NIPS 2015: 1306-1314 - [c6]Aritra Konar, Ruoyu Sun, Nicholas D. Sidiropoulos
Interference alignment via Feasible Point Pursuit. SPAWC 2015: 640-644 - [i6]Wei Liu, Ruoyu Sun, Zhi-Quan Luo, Jiandong Li:
Globally Optimal Joint Uplink Base Station Association and Beamforming. CoRR abs/1512.04927 (2015) - 2014
- [j3]Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun:
Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach. IEEE Signal Process. Mag. 31(6): 56-68 (2014) - [c5]Ruoyu Sun, Zhi-Quan Luo:
Globally optimal joint uplink base station association and power control for max-min fairness. ICASSP 2014: 454-458 - [i5]Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun:
Cross Layer Provision of Future Cellular Networks. CoRR abs/1407.1424 (2014) - [i4]Ruoyu Sun, Mingyi Hong, Zhi-Quan Luo:
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity. CoRR abs/1407.2791 (2014) - [i3]Ruoyu Sun, Zhi-Quan Luo:
Guaranteed Matrix Completion via Non-convex Factorization. CoRR abs/1411.8003 (2014) - 2013
- [j2]Mingyi Hong, Ruoyu Sun, Hadi Baligh, Zhi-Quan Luo:
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks. IEEE J. Sel. Areas Commun. 31(2): 226-240 (2013) - [c4]Ruoyu Sun, Hadi Baligh, Zhi-Quan Luo:
Long-term transmit point association for coordinated multipoint transmission by stochastic optimization. SPAWC 2013: 330-334 - [i2]Ruoyu Sun, Zhi-Quan Luo:
Two Performance-limiting Factors for Interference Alignment: Channel Diversity Order and the Number of Data Streams Per User. CoRR abs/1307.6125 (2013) - 2012
- [j1]Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo:
Robust SINR-Constrained MISO Downlink Beamforming: When is Semidefinite Programming Relaxation Tight? EURASIP J. Wirel. Commun. Netw. 2012: 243 (2012) - [c3]Mingyi Hong, Meisam Razaviyayn, Ruoyu Sun, Zhi-Quan Luo:
Joint transceiver design and base station clustering for heterogeneous networks. ACSCC 2012: 574-578 - [c2]Ruoyu Sun, Mingyi Hong, Zhi-Quan Luo:
Optimal joint base station assignment and power allocation in a cellular network. SPAWC 2012: 234-238 - [i1]Mingyi Hong, Ruoyu Sun, Hadi Baligh, Zhi-Quan Luo:
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks. CoRR abs/1203.6390 (2012) - 2011
- [c1]Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo:
Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight? ICASSP 2011: 3096-3099
Coauthor Index
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