Doppler frequency offsets estimation and diversity reception scheme of high speed railway with multiple antennas on separated carriages. - Yaoqing Yang 002; Pingyi Fan; Yongming Huang 001 (WCSP, 2012)

Distributed flow scheduling in an unknown environment. - Yaoqing Yang 002; Keqin Liu; Pingyi Fan (WiOpt, 2013)

Can a noisy encoder be used to communicate reliably? - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (Allerton, 2014)

Achieving high frequency reuse in dense cellular networks: A matrix graph approach. - Yaoqing Yang 002; Bo Bai 001; Wei Chen 002 (GlobalSIP, 2014)

How Much Frequency Can Be Reused in 5G Cellular Networks - A Matrix Graph Model. - Yaoqing Yang 002; Bo Bai 001; Wei Chen 002 (CoRR, 2014)

Information dissipation in noiseless lossy in-network function computation. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (Allerton, 2015)

Fault-tolerant distributed logistic regression using unreliable components. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (Allerton, 2016)

Monitoring Manhattan's traffic at 5 intersections? - Siheng Chen; Yaoqing Yang 002; Christos Faloutsos; Jelena Kovacevic (GlobalSIP, 2016)

Signal detection on graphs: Bernoulli noise model. - Siheng Chen; Yaoqing Yang 002; Aarti Singh; Jelena Kovacevic (GlobalSIP, 2016)

Coding for lossy function computation: Analyzing sequential function computation with distortion accumulation. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (ISIT, 2016)

Computing linear transforms with unreliable components. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (ISIT, 2016)

Energy efficient distributed coding for data collection in a noisy sparse network. - Yaoqing Yang 002; Soummya Kar; Pulkit Grover (ISIT, 2016)

Fault-tolerant parallel linear filtering using compressive sensing. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (ISTC, 2016)

Signal Localization, Decomposition and Dictionary Learning on Graphs. - Siheng Chen; Yaoqing Yang 002; José M. F. Moura; Jelena Kovacevic (CoRR, 2016)

Detecting Structure-correlated Attributes on Graphs. - Siheng Chen; Yaoqing Yang 002; Shi Zong; Aarti Singh; Jelena Kovacevic (CoRR, 2016)

Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (CoRR, 2016)

Fast path localization on graphs via multiscale Viterbi decoding. - Yaoqing Yang 002; Siheng Chen; Mohammad Ali Maddah-Ali; Pulkit Grover; Soummya Kar; Jelena Kovacevic (ICASSP, 2017)

Coded Distributed Computing for Inverse Problems. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (NIPS, 2017)

Coding Method for Parallel Iterative Linear Solver. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (CoRR, 2017)

Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds. - Yiru Shen; Chen Feng 002; Yaoqing Yang 002; Dong Tian (CoRR, 2017)

FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds. - Yaoqing Yang 002; Chen Feng 002; Yiru Shen; Dong Tian (CoRR, 2017)

Computing Linear Transformations With Unreliable Components. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (IEEE Trans. Inf. Theory, 2017)

Rate Distortion for Lossy In-Network Linear Function Computation and Consensus: Distortion Accumulation and Sequential Reverse Water-Filling. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (IEEE Trans. Inf. Theory, 2017)

Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network. - Yaoqing Yang 002; Soummya Kar; Pulkit Grover (IEEE Trans. Inf. Theory, 2017)

Spectrum Reuse Ratio in 5G Cellular Networks: A Matrix Graph Approach. - Yaoqing Yang 002; Bo Bai 001; Wei Chen 002 (IEEE Trans. Mob. Comput., 2017)

Detecting Localized Categorical Attributes on Graphs. - Siheng Chen; Yaoqing Yang 002; Shi Zong; Aarti Singh; Jelena Kovacevic (IEEE Trans. Signal Process., 2017)

Cross-Iteration Coded Computing. - Farzin Haddadpour; Yaoqing Yang 002; Viveck R. Cadambe; Pulkit Grover (Allerton, 2018)

An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation. - Utsav Sheth; Sanghamitra Dutta; Malhar Chaudhari; Haewon Jeong; Yaoqing Yang 002; Jukka Kohonen; Teemu Roos; Pulkit Grover (IEEE BigData, 2018)

Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling. - Yiru Shen; Chen Feng 002; Yaoqing Yang 002; Dong Tian (CVPR, 2018)

FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation. - Yaoqing Yang 002; Chen Feng 002; Yiru Shen; Dong Tian (CVPR, 2018)

Coding for a Single Sparse Inverse Problem. - Yaoqing Yang 002; Pulkit Grover; Soummya Kar (ISIT, 2018)

Coded Iterative Computing using Substitute Decoding. - Yaoqing Yang 002; Malhar Chaudhari; Pulkit Grover; Soummya Kar (CoRR, 2018)

Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver. - Farzin Haddadpour; Yaoqing Yang 002; Malhar Chaudhari; Viveck R. Cadambe; Pulkit Grover (CoRR, 2018)

Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding. - Yaoqing Yang 002; Siheng Chen; Mohammad Ali Maddah-Ali; Pulkit Grover; Soummya Kar; Jelena Kovacevic (IEEE Trans. Signal Process., 2018)

Systematic Matrix Multiplication Codes. - Haewon Jeong; Yaoqing Yang 002; Pulkit Grover (ISIT, 2019)

Coded Elastic Computing. - Yaoqing Yang 002; Matteo Interlandi; Pulkit Grover; Soummya Kar; Saeed Amizadeh; Markus Weimer (ISIT, 2019)

Proactive Caching for Vehicular Multi-View 3D Video Streaming via Deep Reinforcement Learning. - Zhengming Zhang 001; Yaoqing Yang 002; Meng Hua; Chunguo Li; Yongming Huang 001; Luxi Yang (IEEE Trans. Wirel. Commun., 2019)

Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost. - Yaoqing Yang 002; Jichan Chung; Guanhua Wang; Vipul Gupta; Adarsh Karnati; Kenan Jiang; Ion Stoica; Joseph Gonzalez 001; Kannan Ramchandran (ACSSC, 2020)

3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication. - Haewon Jeong; Yaoqing Yang 002; Vipul Gupta; Christian Engelmann; Tze Meng Low; Viveck R. Cadambe; Kannan Ramchandran; Pulkit Grover (Euro-Par, 2020)

Serverless Straggler Mitigation using Error-Correcting Codes. - Vipul Gupta; Dominic Carrano; Yaoqing Yang 002; Vaishaal Shankar; Thomas A. Courtade; Kannan Ramchandran (ICDCS, 2020)

Boundary thickness and robustness in learning models. - Yaoqing Yang 002; Rajiv Khanna; Yaodong Yu; Amir Gholami; Kurt Keutzer; Joseph E. Gonzalez; Kannan Ramchandran; Michael W. Mahoney (NeurIPS, 2020)

Serverless Straggler Mitigation using Local Error-Correcting Codes. - Vipul Gupta; Dominic Carrano; Yaoqing Yang 002; Vaishaal Shankar; Thomas A. Courtade; Kannan Ramchandran (CoRR, 2020)

Benchmarking Semi-supervised Federated Learning. - Zhengming Zhang 001; Zhewei Yao; Yaoqing Yang 002; Yujun Yan; Joseph E. Gonzalez; Michael W. Mahoney (CoRR, 2020)

Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing. - Sanghamitra Dutta; Haewon Jeong; Yaoqing Yang 002; Viveck R. Cadambe; Tze Meng Low; Pulkit Grover (Proc. IEEE, 2020)

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. - Siheng Chen; Chaojing Duan; Yaoqing Yang 002; Duanshun Li; Chen Feng 002; Dong Tian (IEEE Trans. Image Process., 2020)

A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. - Yefan Zhou; Yiru Shen; Yujun Yan; Chen Feng 002; Yaoqing Yang 002 (3DV, 2021)

Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. - Zhengming Zhang 001; Yaoqing Yang 002; Zhewei Yao; Yujun Yan; Joseph E. Gonzalez; Kannan Ramchandran; Michael W. Mahoney (IEEE BigData, 2021)

Taxonomizing local versus global structure in neural network loss landscapes. - Yaoqing Yang 002; Liam Hodgkinson; Ryan Theisen; Joe Zou; Joseph E. Gonzalez; Kannan Ramchandran; Michael W. Mahoney (NeurIPS, 2021)

Contrastive Spatial Reasoning on Multi-View Line Drawings. - Siyuan Xiang; Anbang Yang; Yanfei Xue; Yaoqing Yang 002; Chen Feng 002 (CoRR, 2021)

The Effect of Model Size on Worst-Group Generalization. - Alan Pham; Eunice Chan; Vikranth Srivatsa; Dhruba Ghosh; Yaoqing Yang 002; Yaodong Yu; Ruiqi Zhong; Joseph E. Gonzalez; Jacob Steinhardt (CoRR, 2021)

Self-supervised Spatial Reasoning on Multi-View Line Drawings. - Siyuan Xiang; Anbang Yang; Yanfei Xue; Yaoqing Yang 002; Chen Feng 002 (CVPR, 2022)

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. - Yujun Yan; Milad Hashemi; Kevin Swersky; Yaoqing Yang 002; Danai Koutra (ICDM, 2022)

Neurotoxin: Durable Backdoors in Federated Learning. - Zhengming Zhang 001; Ashwinee Panda; Linyue Song; Yaoqing Yang 002; Michael W. Mahoney; Prateek Mittal; Kannan Ramchandran; Joseph Gonzalez 001 (ICML, 2022)

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. - Puja Trivedi; Ekdeep Singh Lubana; Yujun Yan; Yaoqing Yang 002; Danai Koutra (WWW, 2022)

Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data. - Yaoqing Yang 002; Ryan Theisen; Liam Hodgkinson; Joseph E. Gonzalez; Kannan Ramchandran; Charles H. Martin; Michael W. Mahoney (CoRR, 2022)

A Three-regime Model of Network Pruning. - Yefan Zhou; Yaoqing Yang 002; Arin Chang; Michael W. Mahoney (ICML, 2023)

Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data. - Yaoqing Yang 002; Ryan Theisen; Liam Hodgkinson; Joseph E. Gonzalez; Kannan Ramchandran; Charles H. Martin; Michael W. Mahoney (KDD, 2023)

When are ensembles really effective? - Ryan Theisen; Hyunsuk Kim; Yaoqing Yang 002; Liam Hodgkinson; Michael W. Mahoney (NeurIPS, 2023)

Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. - Yefan Zhou; Tianyu Pang; Keqin Liu; Charles H. Martin; Michael W. Mahoney; Yaoqing Yang 002 (NeurIPS, 2023)

Model Balancing Helps Low-data Training and Fine-tuning. - Zihang Liu; Yuanzhe Hu; Tianyu Pang; Yefan Zhou; Pu Ren; Yaoqing Yang 002 (EMNLP, 2024)

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. - Peijun Qing; Chongyang Gao; Yefan Zhou; Xingjian Diao; Yaoqing Yang 002; Soroush Vosoughi (EMNLP, 2024)

Teach LLMs to Phish: Stealing Private Information from Language Models. - Ashwinee Panda; Christopher A. Choquette-Choo; Zhengming Zhang 001; Yaoqing Yang 002; Prateek Mittal (ICLR, 2024)

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. - Haohui Wang; Yuzhen Mao; Yujun Yan; Yaoqing Yang 002; Jianhui Sun; Kevin Choi; Balaji Veeramani; Alison Hu; Edward Bowen; Tyler Cody; Dawei Zhou 003 (ICML, 2024)

MD tree: a model-diagnostic tree grown on loss landscape. - Yefan Zhou; Jianlong Chen; Qinxue Cao; Konstantin Schürholt; Yaoqing Yang 002 (ICML, 2024)

Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. - Haiquan Lu; Xiaotian Liu; Yefan Zhou; Qunli Li; Kurt Keutzer; Michael W. Mahoney; Yujun Yan; Huanrui Yang; Yaoqing Yang 002 (NeurIPS, 2024)

AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. - Haiquan Lu; Yefan Zhou; Shiwei Liu 003; Zhangyang Wang; Michael W. Mahoney; Yaoqing Yang 002 (NeurIPS, 2024)

Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise. - Vignesh Kothapalli; Tianyu Pang; Shenyang Deng; Zongmin Liu; Yaoqing Yang 002 (CoRR, 2024)

Evaluating Loss Landscapes from a Topology Perspective. - Tiankai Xie; Caleb Geniesse; Jiaqing Chen; Yaoqing Yang 002; Dmitriy Morozov; Michael W. Mahoney; Ross Maciejewski; Gunther H. Weber (CoRR, 2024)

Visualizing Loss Functions as Topological Landscape Profiles. - Caleb Geniesse; Jiaqing Chen; Tiankai Xie; Ge Shi 007; Yaoqing Yang 002; Dmitriy Morozov; Talita Perciano; Michael W. Mahoney; Ross Maciejewski; Gunther H. Weber (CoRR, 2024)

Spectral Insights into Data-Oblivious Critical Layers in Large Language Models. - Xuyuan Liu; Lei Hsiung; Yaoqing Yang 002; Yujun Yan (ACL (Findings), 2025)

Mitigating Memorization in Language Models. - Mansi Sakarvadia; Aswathy Ajith; Arham Mushtaq Khan; Nathaniel C. Hudson; Caleb Geniesse; Kyle Chard; Yaoqing Yang 002; Ian T. Foster; Michael W. Mahoney (ICLR, 2025)

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias. - Yuanzhe Hu; Kinshuk Goel; Vlad Killiakov; Yaoqing Yang 002 (ICML, 2025)

LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. - Zihang Liu; Tianyu Pang; Oleg Balabanov; Chaoqun Yang; Tianjin Huang; Lu Yin 006; Yaoqing Yang 002; Shiwei Liu 003 (ICML, 2025)

Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. - Lifu Huang; Danai Koutra; Adithya Kulkarni; Temiloluwa Prioleau; Qingyun Wu; Yujun Yan; Yaoqing Yang 002; James Zou 001; Dawei Zhou 003 (WWW (Companion Volume), 2025)

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics. - Tiankai Xie; Jiaqing Chen; Yaoqing Yang 002; Caleb Geniesse; Ge Shi 007; Ajinkya Chaudhari; John Kevin Cava; Michael W. Mahoney; Talita Perciano; Gunther H. Weber; Ross Maciejewski (IEEE Computer Graphics and Applications, 2025)

A Model Zoo on Phase Transitions in Neural Networks. - Konstantin Schürholt; Léo Meynent; Yefan Zhou; Haiquan Lu; Yaoqing Yang 002; Damian Borth (J. Data-centric Mach. Learn. Res., 2025)

From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks. - Vignesh Kothapalli; Tianyu Pang; Shenyang Deng; Zongmin Liu; Yaoqing Yang 002 (Trans. Mach. Learn. Res., 2025)

KCES: Training-Free Defense for Robust Graph Neural Networks via Kernel Complexity. - Yaning Jia; Shenyang Deng; Chiyu Ma; Yaoqing Yang 002; Soroush Vosoughi (CoRR, 2025)

The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators. - Mansi Sakarvadia; Kareem Hegazy; Amin Totounferoush; Kyle Chard; Yaoqing Yang 002; Ian T. Foster; Michael W. Mahoney (CoRR, 2025)

Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets. - Lei Hsiung; Tianyu Pang; Yung-Chen Tang; Linyue Song; Tsung-Yi Ho; Pin-Yu Chen; Yaoqing Yang 002 (ACL (1), 2026)

Suspicious Alignment of SGD: A Fine-Grained Step Size Condition Analysis. - Shenyang Deng; Boyao Liao; Zhuoli Ouyang; Tianyu Pang; Minhak Song; Yaoqing Yang 002 (CoRR, 2026)

Depth, Not Data: An Analysis of Hessian Spectral Bifurcation. - Shenyang Deng; Boyao Liao; Zhuoli Ouyang; Tianyu Pang; Yaoqing Yang 002 (CoRR, 2026)

Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis. - Jiaqing Chen; Nicholas Hadler; Tiankai Xie; Rostyslav Hnatyshyn; Caleb Geniesse; Yaoqing Yang 002; Michael W. Mahoney; Talita Perciano; John F. Hartwig; Ross Maciejewski; Gunther H. Weber (CoRR, 2026)

Learning to Discover Iterative Spectral Algorithms. - Zihang Liu; Oleg Balabanov; Yaoqing Yang 002; Michael W. Mahoney (CoRR, 2026)

HTMuon: Improving Muon via Heavy-Tailed Spectral Correction. - Tianyu Pang; Yujie Fang; Zihang Liu; Shenyang Deng; Lei Hsiung; Shuhua Yu; Yaoqing Yang 002 (CoRR, 2026)

RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization. - Shenyang Deng; Zhuoli Ouyang; Tianyu Pang; Zihang Liu; Ruochen Jin; Shuhua Yu; Yaoqing Yang 002 (CoRR, 2026)

RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search. - Jinglong Xiong; Xiaotian Liu; Ruoxin Wang; Zihang Liu; Yefan Zhou; Yujun Yan; Yaoqing Yang 002 (CoRR, 2026)

Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization. - Yuxin Wang; Yuanzhe Hu; Xiaokun Zhong; Xiaopeng Wang; Haiquan Lu; Tianyu Pang; Michael W. Mahoney; Yujun Yan; Pu Ren; Yaoqing Yang 002 (CoRR, 2026)