Yaoqing Yang - RankMe

113 papers A* 22A 1B 7Misc 2Journal 65Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Depth, Not Data: An Analysis of Hessian Spectral Bifurcation. CoRR Shenyang Deng, Boyao Liao, Zhuoli Ouyang, Tianyu Pang, Yaoqing Yang
2026	J	`jnl`	HTMuon: Improving Muon via Heavy-Tailed Spectral Correction. CoRR Tianyu Pang, Yujie Fang, Zihang Liu, Shenyang Deng, Lei Hsiung, Shuhua Yu, Yaoqing Yang
2026	J	`jnl`	Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis. CoRR Jiaqing Chen, Nicholas Hadler, Tiankai Xie, Rostyslav Hnatyshyn, Caleb Geniesse, Yaoqing Yang, Michael W. Mahoney, Talita Perciano, John F. Hartwig, Ross Maciejewski, Gunther H. Weber
2026	J	`jnl`	Learning to Discover Iterative Spectral Algorithms. CoRR Zihang Liu, Oleg Balabanov, Yaoqing Yang, Michael W. Mahoney
2026	J	`jnl`	RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization. CoRR Shenyang Deng, Zhuoli Ouyang, Tianyu Pang, Zihang Liu, Ruochen Jin, Shuhua Yu, Yaoqing Yang
2026	J	`jnl`	Suspicious Alignment of SGD: A Fine-Grained Step Size Condition Analysis. CoRR Shenyang Deng, Boyao Liao, Zhuoli Ouyang, Tianyu Pang, Minhak Song, Yaoqing Yang
2025	J	`jnl`	A Model Zoo on Phase Transitions in Neural Networks. CoRR Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
2025	J	`jnl`	A Model Zoo on Phase Transitions in Neural Networks. J. Data-centric Mach. Learn. Res. Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
2025	A*	`conf`	Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias. ICML Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov, Yaoqing Yang
2025	J	`jnl`	Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias. CoRR Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov, Yaoqing Yang
2025	J	`jnl`	From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks. Trans. Mach. Learn. Res. Vignesh Kothapalli, Tianyu Pang, Shenyang Deng, Zongmin Liu, Yaoqing Yang
2025	J	`jnl`	KCES: Training-Free Defense for Robust Graph Neural Networks via Kernel Complexity. CoRR Yaning Jia, Shenyang Deng, Chiyu Ma, Yaoqing Yang, Soroush Vosoughi
2025	A*	`conf`	LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. ICML Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu
2025	J	`jnl`	LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. CoRR Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu
2025	J	`jnl`	LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics. IEEE Computer Graphics and Applications Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski
2025	A*	`conf`	Mitigating Memorization in Language Models. ICLR Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney
2025	—	`conf`	Spectral Insights into Data-Oblivious Critical Layers in Large Language Models. ACL (Findings) Xuyuan Liu, Lei Hsiung, Yaoqing Yang, Yujun Yan
2025	J	`jnl`	Spectral Insights into Data-Oblivious Critical Layers in Large Language Models. CoRR Xuyuan Liu, Lei Hsiung, Yaoqing Yang, Yujun Yan
2025	J	`jnl`	The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators. CoRR Mansi Sakarvadia, Kareem Hegazy, Amin Totounferoush, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney
2025	—	`conf`	Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. WWW (Companion Volume) Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou
2025	J	`jnl`	Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets. CoRR Lei Hsiung, Tianyu Pang, Yung-Chen Tang, Linyue Song, Tsung-Yi Ho, Pin-Yu Chen, Yaoqing Yang
2024	A*	`conf`	AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. EMNLP Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi
2024	J	`jnl`	AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. CoRR Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi
2024	A*	`conf`	AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. NeurIPS Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang
2024	J	`jnl`	AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. CoRR Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang
2024	J	`jnl`	Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise. CoRR Vignesh Kothapalli, Tianyu Pang, Shenyang Deng, Zongmin Liu, Yaoqing Yang
2024	J	`jnl`	Evaluating Loss Landscapes from a Topology Perspective. CoRR Tiankai Xie, Caleb Geniesse, Jiaqing Chen, Yaoqing Yang, Dmitriy Morozov, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber
2024	A*	`conf`	EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024	J	`jnl`	LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics. CoRR Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski
2024	A*	`conf`	MD tree: a model-diagnostic tree grown on loss landscape. ICML Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang
2024	J	`jnl`	MD tree: a model-diagnostic tree grown on loss landscape. CoRR Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang
2024	J	`jnl`	Mitigating Memorization In Language Models. CoRR Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney
2024	A*	`conf`	Model Balancing Helps Low-data Training and Fine-tuning. EMNLP Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024	J	`jnl`	Model Balancing Helps Low-data Training and Fine-tuning. CoRR Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024	A*	`conf`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. NeurIPS Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2024	J	`jnl`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2024	A*	`conf`	Teach LLMs to Phish: Stealing Private Information from Language Models. ICLR Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
2024	J	`jnl`	Teach LLMs to Phish: Stealing Private Information from Language Models. CoRR Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
2024	J	`jnl`	Visualizing Loss Functions as Topological Landscape Profiles. CoRR Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi, Yaoqing Yang, Dmitriy Morozov, Talita Perciano, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber
2023	A*	`conf`	A Three-regime Model of Network Pruning. ICML Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney
2023	J	`jnl`	A Three-regime Model of Network Pruning. CoRR Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney
2023	A*	`conf`	Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. NeurIPS Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang
2023	J	`jnl`	Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. CoRR Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang
2023	A*	`conf`	Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data. KDD Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney
2023	A*	`conf`	When are ensembles really effective? NeurIPS Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney
2023	J	`jnl`	When are ensembles really effective? CoRR Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney
2022	A*	`conf`	Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. WWW Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
2022	J	`jnl`	Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data. CoRR Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney
2022	A*	`conf`	Neurotoxin: Durable Backdoors in Federated Learning. ICML Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez
2022	J	`jnl`	Neurotoxin: Durable Backdoors in Federated Learning. CoRR Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal
2022	A*	`conf`	Self-supervised Spatial Reasoning on Multi-View Line Drawings. CVPR Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng
2022	A*	`conf`	Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. ICDM Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra
2021	—	`conf`	A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. 3DV Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
2021	J	`jnl`	A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. CoRR Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
2021	J	`jnl`	Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. CoRR Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
2021	J	`jnl`	Contrastive Spatial Reasoning on Multi-View Line Drawings. CoRR Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng
2021	—	`conf`	Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. IEEE BigData Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
2021	A*	`conf`	Taxonomizing local versus global structure in neural network loss landscapes. NeurIPS Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
2021	J	`jnl`	Taxonomizing local versus global structure in neural network loss landscapes. CoRR Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
2021	J	`jnl`	The Effect of Model Size on Worst-Group Generalization. CoRR Alan Pham, Eunice Chan, Vikranth Srivatsa, Dhruba Ghosh, Yaoqing Yang, Yaodong Yu, Ruiqi Zhong, Joseph E. Gonzalez, Jacob Steinhardt
2021	J	`jnl`	Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. CoRR Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra
2020	—	`conf`	3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication. Euro-Par Haewon Jeong, Yaoqing Yang, Vipul Gupta, Christian Engelmann, Tze Meng Low, Viveck R. Cadambe, Kannan Ramchandran, Pulkit Grover
2020	J	`jnl`	Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing. Proc. IEEE Sanghamitra Dutta, Haewon Jeong, Yaoqing Yang, Viveck R. Cadambe, Tze Meng Low, Pulkit Grover
2020	J	`jnl`	Benchmarking Semi-supervised Federated Learning. CoRR Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney
2020	A*	`conf`	Boundary thickness and robustness in learning models. NeurIPS Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
2020	J	`jnl`	Boundary thickness and robustness in learning models. CoRR Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
2020	J	`jnl`	Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. IEEE Trans. Image Process. Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian
2020	Misc	`conf`	Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost. ACSSC Yaoqing Yang, Jichan Chung, Guanhua Wang, Vipul Gupta, Adarsh Karnati, Kenan Jiang, Ion Stoica, Joseph Gonzalez, Kannan Ramchandran
2020	A	`conf`	Serverless Straggler Mitigation using Error-Correcting Codes. ICDCS Vipul Gupta, Dominic Carrano, Yaoqing Yang, Vaishaal Shankar, Thomas A. Courtade, Kannan Ramchandran
2020	J	`jnl`	Serverless Straggler Mitigation using Local Error-Correcting Codes. CoRR Vipul Gupta, Dominic Carrano, Yaoqing Yang, Vaishaal Shankar, Thomas A. Courtade, Kannan Ramchandran
2019	B	`conf`	Coded Elastic Computing. ISIT Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer
2019	J	`jnl`	Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. CoRR Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian
2019	J	`jnl`	Proactive Caching for Vehicular Multi-View 3D Video Streaming via Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. Zhengming Zhang, Yaoqing Yang, Meng Hua, Chunguo Li, Yongming Huang, Luxi Yang
2019	B	`conf`	Systematic Matrix Multiplication Codes. ISIT Haewon Jeong, Yaoqing Yang, Pulkit Grover
2018	—	`conf`	An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation. IEEE BigData Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, Pulkit Grover
2018	J	`jnl`	An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation. CoRR Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, Pulkit Grover
2018	J	`jnl`	Coded Elastic Computing. CoRR Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer
2018	J	`jnl`	Coded Iterative Computing using Substitute Decoding. CoRR Yaoqing Yang, Malhar Chaudhari, Pulkit Grover, Soummya Kar
2018	B	`conf`	Coding for a Single Sparse Inverse Problem. ISIT Yaoqing Yang, Pulkit Grover, Soummya Kar
2018	—	`conf`	Cross-Iteration Coded Computing. Allerton Farzin Haddadpour, Yaoqing Yang, Viveck R. Cadambe, Pulkit Grover
2018	J	`jnl`	Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding. IEEE Trans. Signal Process. Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovacevic
2018	A*	`conf`	FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation. CVPR Yaoqing Yang, Chen Feng, Yiru Shen, Dong Tian
2018	A*	`conf`	Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling. CVPR Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian
2018	J	`jnl`	Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver. CoRR Farzin Haddadpour, Yaoqing Yang, Malhar Chaudhari, Viveck R. Cadambe, Pulkit Grover
2017	—	`conf`	Coded Distributed Computing for Inverse Problems. NIPS Yaoqing Yang, Pulkit Grover, Soummya Kar
2017	J	`jnl`	Coding Method for Parallel Iterative Linear Solver. CoRR Yaoqing Yang, Pulkit Grover, Soummya Kar
2017	J	`jnl`	Computing Linear Transformations With Unreliable Components. IEEE Trans. Inf. Theory Yaoqing Yang, Pulkit Grover, Soummya Kar
2017	J	`jnl`	Detecting Localized Categorical Attributes on Graphs. IEEE Trans. Signal Process. Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic
2017	Misc	`conf`	Fast path localization on graphs via multiscale Viterbi decoding. ICASSP Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovacevic
2017	J	`jnl`	FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds. CoRR Yaoqing Yang, Chen Feng, Yiru Shen, Dong Tian
2017	J	`jnl`	Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network. IEEE Trans. Inf. Theory Yaoqing Yang, Soummya Kar, Pulkit Grover
2017	J	`jnl`	Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds. CoRR Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian
2017	J	`jnl`	Rate Distortion for Lossy In-Network Linear Function Computation and Consensus: Distortion Accumulation and Sequential Reverse Water-Filling. IEEE Trans. Inf. Theory Yaoqing Yang, Pulkit Grover, Soummya Kar
2017	J	`jnl`	Spectrum Reuse Ratio in 5G Cellular Networks: A Matrix Graph Approach. IEEE Trans. Mob. Comput. Yaoqing Yang, Bo Bai, Wei Chen
2016	B	`conf`	Coding for lossy function computation: Analyzing sequential function computation with distortion accumulation. ISIT Yaoqing Yang, Pulkit Grover, Soummya Kar
2016	B	`conf`	Computing linear transforms with unreliable components. ISIT Yaoqing Yang, Pulkit Grover, Soummya Kar
2016	J	`jnl`	Detecting Structure-correlated Attributes on Graphs. CoRR Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic
2016	J	`jnl`	Energy Efficient Distributed Coding for Data Collection in a Noisy Sparse Network. CoRR Yaoqing Yang, Soummya Kar, Pulkit Grover
2016	B	`conf`	Energy efficient distributed coding for data collection in a noisy sparse network. ISIT Yaoqing Yang, Soummya Kar, Pulkit Grover
2016	—	`conf`	Fault-tolerant distributed logistic regression using unreliable components. Allerton Yaoqing Yang, Pulkit Grover, Soummya Kar
2016	—	`conf`	Fault-tolerant parallel linear filtering using compressive sensing. ISTC Yaoqing Yang, Pulkit Grover, Soummya Kar
2016	—	`conf`	Monitoring Manhattan's traffic at 5 intersections? GlobalSIP Siheng Chen, Yaoqing Yang, Christos Faloutsos, Jelena Kovacevic
2016	J	`jnl`	Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling. CoRR Yaoqing Yang, Pulkit Grover, Soummya Kar
2016	J	`jnl`	Signal Localization, Decomposition and Dictionary Learning on Graphs. CoRR Siheng Chen, Yaoqing Yang, José M. F. Moura, Jelena Kovacevic
2016	—	`conf`	Signal detection on graphs: Bernoulli noise model. GlobalSIP Siheng Chen, Yaoqing Yang, Aarti Singh, Jelena Kovacevic
2015	J	`jnl`	Computing Linear Transformations with Unreliable Components. CoRR Yaoqing Yang, Pulkit Grover, Soummya Kar
2015	J	`jnl`	Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network. CoRR Yaoqing Yang, Soummya Kar, Pulkit Grover
2015	—	`conf`	Information dissipation in noiseless lossy in-network function computation. Allerton Yaoqing Yang, Pulkit Grover, Soummya Kar
2014	—	`conf`	Achieving high frequency reuse in dense cellular networks: A matrix graph approach. GlobalSIP Yaoqing Yang, Bo Bai, Wei Chen
2014	—	`conf`	Can a noisy encoder be used to communicate reliably? Allerton Yaoqing Yang, Pulkit Grover, Soummya Kar
2014	J	`jnl`	How Much Frequency Can Be Reused in 5G Cellular Networks - A Matrix Graph Model. CoRR Yaoqing Yang, Bo Bai, Wei Chen
2013	B	`conf`	Distributed flow scheduling in an unknown environment. WiOpt Yaoqing Yang, Keqin Liu, Pingyi Fan
2012	—	`conf`	Doppler frequency offsets estimation and diversity reception scheme of high speed railway with multiple antennas on separated carriages. WCSP Yaoqing Yang, Pingyi Fan, Yongming Huang