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ORCIDJianing Zhu
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2020 – today
- 2024
[i11]Jianing Zhu, Bo Han, Jiangchao Yao, Jianliang Xu, Gang Niu, Masashi Sugiyama:
Decoupling the Class Label and the Target Concept in Machine Unlearning. CoRR abs/2406.08288 (2024)- [i10]Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama:
Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning. CoRR abs/2406.09179 (2024) - 2023
- [c13]Yang Han
, Jianing Zhu, Hao Yin, Bo Sui, Mingshun Ji, Xinrui Zhong, Yongqian Wang:
Analysis of Factors Influencing the Development of Electricity Retail Market under Spot Market Based on DEMATEL-ISM. BDEIM 2023: 744-750 - [c12]Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han:
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. ICLR 2023 - [c11]Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han:
Exploring Model Dynamics for Accumulative Poisoning Discovery. ICML 2023: 42983-43004 - [c10]Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han:
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. ICML 2023: 43068-43104 - [c9]Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han:
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. NeurIPS 2023 - [i9]Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han:
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. CoRR abs/2303.00250 (2023) - [i8]Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han:
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. CoRR abs/2306.03715 (2023) - [i7]Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han:
Exploring Model Dynamics for Accumulative Poisoning Discovery. CoRR abs/2306.03726 (2023) - [i6]Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han:
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. CoRR abs/2310.13923 (2023) - [i5]Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han:
DeepInception: Hypnotize Large Language Model to Be Jailbreaker. CoRR abs/2311.03191 (2023) - 2022
- [j2]Maidina Nabijiang, Xinjuan Wan, Shengsong Huang, Qi Liu, Bixia Wei, Jianing Zhu, Xiaodong Xie:
BAM: Block attention mechanism for OCT image classification. IET Image Process. 16(5): 1376-1388 (2022) - [c8]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. ICLR 2022 - [c7]Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama:
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. NeurIPS 2022 - [i4]Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama:
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. CoRR abs/2211.00269 (2022) - 2021
- [c6]Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli:
Geometry-aware Instance-reweighted Adversarial Training. ICLR 2021 - [c5]Guihua Liu, Yan-Bo Chen, Yuan Gao, Jianing Zhu, Bo-Xin Wang, Tao Yang:
Component Based and Machine Learning Aided Optimal Filter Design for Full-Bridge Current Doubler Rectifier. IECON 2021: 1-6 - [i3]Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan S. Kankanhalli, Masashi Sugiyama:
Understanding the Interaction of Adversarial Training with Noisy Labels. CoRR abs/2102.03482 (2021) - [i2]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. CoRR abs/2106.04928 (2021) - 2020
- [c4]Xinhua Cheng, Jianing Zhu, Nan Zhang, Qian Wang, Qijun Zhao:
Detection Features as Attention (Defat): A Keypoint-Free Approach to Amur Tiger Re-Identification. ICIP 2020: 2231-2235 - [c3]Guihua Liu, Jianing Zhu, Hang Zhou, Wenxiu Wang, Wei Wang:
A Novel FLL for Single-Phase Grid-Connected PV Inverter Under Weak Grid. IECON 2020: 3353-3358 - [c2]Guihua Liu, Wenxiu Wang, Jianing Zhu, Wei Wang, Patrick Wheeler:
Synchronous Control Method of Three-phase Inverter Under Unbalanced Conditions Using the Energy Operator. IECON 2020: 3377-3382 - [i1]Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli:
Geometry-aware Instance-reweighted Adversarial Training. CoRR abs/2010.01736 (2020)
2010 – 2019
- 2019
- [c1]Ning Liu, Qijun Zhao, Nan Zhang, Xinhua Cheng, Jianing Zhu:
Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification. ICCV Workshops 2019: 286-293
2000 – 2009
- 2007
- [j1]Jianing Zhu, Yasushi Mae, Mamoru Minami:
Finding and Quantitative Evaluation of Minute Flaws on Metal Surface Using Hairline. IEEE Trans. Ind. Electron. 54(3): 1420-1429 (2007)
Coauthor Index
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