Yihua Zhang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design.
CoRR, August, 2025
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills.
CoRR, June, 2025
CyclicReflex: Improving Large Reasoning Models via Cyclical Reflection Token Scheduling.
CoRR, June, 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning.
CoRR, June, 2025
Comput. Appl. Eng. Educ., May, 2025
CoRR, March, 2025
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
CoRR, February, 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning.
IEEE Signal Process. Mag., January, 2024
Slope Surface Deformation Monitoring Based on Close-Range Photogrammetry: Laboratory Insights and Field Applications.
Remote. Sens., 2024
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification.
CoRR, 2024
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance.
CoRR, 2024
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models.
CoRR, 2024
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.
CoRR, 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE Frontiers in Education Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2020
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020
2019
Low-Noise Broadband CMOS TIA Based on Multi-Stage Stagger-Tuned Amplifier for High-Speed High-Sensitivity Optical Communication.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019
Bead Strand Model: a high-efficiency storage structure for self-destructing data in cloud environment.
Serv. Oriented Comput. Appl., 2019
Candidate gene prioritization for non-communicable diseases based on functional information: Case studies.
J. Biomed. Informatics, 2019
A Stacked 4×25 Gb/s Optical Receiver in 28 nm CMOS with 0.154 mW/Gb/s Power Efficiency.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
2018
Implementing Support for Pointers to Private Data in a General-Purpose Secure Multi-Party Compiler.
ACM Trans. Priv. Secur., 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Research on Interaction Modeling of Cross-border E-commerce and Import and Export Trade.
Proceedings of the 2nd International Conference on Software and e-Business, 2018
2017
IACR Cryptol. ePrint Arch., 2017
2016
ACM Trans. Storage, 2016
A modeling method of customized brackets and individualized trays for orthodontic treatment.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
2015
BMC Medical Informatics Decis. Mak., December, 2015
2014
Effective Virtual Screening Strategy toward Covalent Ligands: Identification of Novel NEDD8-Activating Enzyme Inhibitors.
J. Chem. Inf. Model., 2014
IACR Cryptol. ePrint Arch., 2014
2013
ACM Trans. Inf. Syst. Secur., 2013
Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013
Proceedings of the 8th ACM Symposium on Information, Computer and Communications Security, 2013
2012
2011
Proceedings of the Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, 2011
2010
Confidentiality and Integrity for SUM Aggregation in Sensor Networks.
Proceedings of the SECRYPT 2010, 2010
Proceedings of the e-Business and Telecommunications - 7th International Joint Conference, 2010
2008
Proceedings of the 2008 ACM Workshop on Privacy in the Electronic Society, 2008
2000
An algorithm for VLSI implementation of highly efficient cubic-polynomial evaluation.
Proceedings of ASP-DAC 2000, 2000