Yaoqing Yang
Orcid: 0000-0001-9908-5531Affiliations:
- Dartmouth College, Hanover, NH, USA
- University of California, Berkeley, RISE Lab, Berkeley, CA, USA (former)
- Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA (former, PhD)
According to our database1,
Yaoqing Yang authored at least 88 papers
between 2012 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization.
CoRR, May, 2026
RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search.
CoRR, May, 2026
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization.
CoRR, March, 2026
Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis.
CoRR, February, 2026
CoRR, January, 2026
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
CoRR, October, 2025
CoRR, June, 2025
Trans. Mach. Learn. Res., 2025
J. Data-centric Mach. Learn. Res., 2025
IEEE Computer Graphics and Applications, 2025
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data.
CoRR, 2022
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the International Conference on Machine Learning, 2022
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks.
Proceedings of the International Conference on 3D Vision, 2021
2020
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering.
IEEE Trans. Image Process., 2020
Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing.
Proc. IEEE, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
Proceedings of the Euro-Par 2020: Parallel Processing, 2020
Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Proactive Caching for Vehicular Multi-View 3D Video Streaming via Deep Reinforcement Learning.
IEEE Trans. Wirel. Commun., 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
2018
IEEE Trans. Signal Process., 2018
CoRR, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Mob. Comput., 2017
Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network.
IEEE Trans. Inf. Theory, 2017
Rate Distortion for Lossy In-Network Linear Function Computation and Consensus: Distortion Accumulation and Sequential Reverse Water-Filling.
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Inf. Theory, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling.
CoRR, 2016
Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Coding for lossy function computation: Analyzing sequential function computation with distortion accumulation.
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
2014
CoRR, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Proceedings of the 11th International Symposium and Workshops on Modeling and Optimization in Mobile, 2013
2012
Doppler frequency offsets estimation and diversity reception scheme of high speed railway with multiple antennas on separated carriages.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012