Yu Yang

38 papers A* 11A 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories.
ICLR
Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
2025 J jnl
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration.
CoRR
Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Zou, Bo Li
2025 A* conf
Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures.
ICLR
Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman
2025 J jnl
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents.
CoRR
Chengquan Guo, Chulin Xie, Yu Yang, Zhaorun Chen, Zinan Lin, Xander Davies, Yarin Gal, Dawn Song, Bo Li
2024 J jnl
AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies.
CoRR
Yi Zeng, Kevin Klyman, Andy Zhou, Yu Yang, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
2024 J jnl
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies.
CoRR
Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
2024 A* conf
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.
ICLR
Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
2024 A* conf
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings.
ICML
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
2024 A conf
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias.
AISTATS
Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
2024 J jnl
Memory-efficient Training of LLMs with Larger Mini-batches.
CoRR
Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman
2024 J jnl
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI.
CoRR
Yu Yang, Yuzhou Nie, Zhun Wang, Yuheng Tang, Wenbo Guo, Bo Li, Dawn Song
2024 A* conf
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models.
NeurIPS
Yu Yang, Siddhartha Mishra, Jeffrey N. Chiang, Baharan Mirzasoleiman
2024 J jnl
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models.
CoRR
Yu Yang, Siddhartha Mishra, Jeffrey N. Chiang, Baharan Mirzasoleiman
2023 J jnl
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.
CoRR
Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
2023 J jnl
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing.
CoRR
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
2023 J jnl
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias.
CoRR
Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
2023 A* conf
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning.
ICML
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
2023 J jnl
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning.
CoRR
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
2023 — conf
NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training.
HotStorage
Neha Prakriya, Yu Yang, Baharan Mirzasoleiman, Cho-Jui Hsieh, Jason Cong
2023 — conf
Network Transplanting for the Functionally Modular Architecture.
PRCV (3)
Quanshi Zhang, Xu Cheng, Xin Wang, Yu Yang, Yingnian Wu
2023 A* conf
Robust Learning with Progressive Data Expansion Against Spurious Correlation.
NeurIPS
Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
2023 J jnl
Robust Learning with Progressive Data Expansion Against Spurious Correlation.
CoRR
Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
2023 J jnl
Towards Mitigating Spurious Correlations in the Wild: A Benchmark & a more Realistic Dataset.
CoRR
Siddharth Joshi, Yu Yang, Yihao Xue, Wenhan Yang, Baharan Mirzasoleiman
2023 A* conf
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning.
ICML
Yu Yang, Hao Kang, Baharan Mirzasoleiman
2023 J jnl
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning.
CoRR
Yu Yang, Hao Kang, Baharan Mirzasoleiman
2022 A* conf
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack.
NeurIPS
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
2022 J jnl
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks.
CoRR
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
2022 A* conf
Not All Poisons are Created Equal: Robust Training against Data Poisoning.
ICML
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
2022 J jnl
Not All Poisons are Created Equal: Robust Training against Data Poisoning.
CoRR
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
2019 J jnl
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks.
CoRR
Lior Deutsch, Erik Nijkamp, Yu Yang
2019 J jnl
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks.
CoRR
Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang
2019 A* conf
Interpreting CNNs via Decision Trees.
CVPR
Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu
2019 J jnl
Network Transplanting (extended abstract).
CoRR
Quanshi Zhang, Yu Yang, Qian Yu, Ying Nian Wu
2019 J jnl
Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract).
CoRR
Quanshi Zhang, Yu Yang, Ying Nian Wu
2019 J jnl
Visual graph mining for graph matching.
Comput. Vis. Image Underst.
Quanshi Zhang, Xuan Song, Yu Yang, Haotian Ma, Ryosuke Shibasaki
2018 J jnl
Interpreting CNNs via Decision Trees.
CoRR
Quanshi Zhang, Yu Yang, Ying Nian Wu, Song-Chun Zhu
2018 J jnl
Network Transplanting.
CoRR
Quanshi Zhang, Yu Yang, Ying Nian Wu, Song-Chun Zhu
2018 J jnl
Unsupervised Learning of Neural Networks to Explain Neural Networks.
CoRR
Quanshi Zhang, Yu Yang, Yuchen Liu, Ying Nian Wu, Song-Chun Zhu