Finding and Quantitative Evaluation of Minute Flaws on Metal Surface Using Hairline. - Jianing Zhu; Yasushi Mae; Mamoru Minami (IEEE Trans. Ind. Electron., 2007)

Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification. - Ning Liu; Qijun Zhao; Nan Zhang; Xinhua Cheng; Jianing Zhu (ICCV Workshops, 2019)

Detection Features as Attention (Defat): A Keypoint-Free Approach to Amur Tiger Re-Identification. - Xinhua Cheng; Jianing Zhu; Nan Zhang; Qian Wang; Qijun Zhao (ICIP, 2020)

Synchronous Control Method of Three-phase Inverter Under Unbalanced Conditions Using the Energy Operator. - Guihua Liu; Wenxiu Wang; Jianing Zhu; Wei Wang; Patrick Wheeler 001 (IECON, 2020)

A Novel FLL for Single-Phase Grid-Connected PV Inverter Under Weak Grid. - Guihua Liu; Jianing Zhu; Hang Zhou; Wenxiu Wang; Wei Wang (IECON, 2020)

Geometry-aware Instance-reweighted Adversarial Training. - Jingfeng Zhang; Jianing Zhu; Gang Niu 001; Bo Han 003; Masashi Sugiyama; Mohan S. Kankanhalli (ICLR, 2021)

Component Based and Machine Learning Aided Optimal Filter Design for Full-Bridge Current Doubler Rectifier. - Guihua Liu; Yan-Bo Chen; Yuan Gao 028; Jianing Zhu; Bo-Xin Wang; Tao Yang 020 (IECON, 2021)

Understanding the Interaction of Adversarial Training with Noisy Labels. - Jianing Zhu; Jingfeng Zhang; Bo Han 003; Tongliang Liu; Gang Niu 001; Hongxia Yang; Mohan S. Kankanhalli; Masashi Sugiyama (CoRR, 2021)

Reliable Adversarial Distillation with Unreliable Teachers. - Jianing Zhu; Jiangchao Yao; Bo Han 003; Jingfeng Zhang; Tongliang Liu; Gang Niu 001; Jingren Zhou 001; Jianliang Xu; Hongxia Yang (ICLR, 2022)

Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. - Jianan Zhou 002; Jianing Zhu; Jingfeng Zhang; Tongliang Liu; Gang Niu 001; Bo Han 003; Masashi Sugiyama (NeurIPS, 2022)

BAM: Block attention mechanism for OCT image classification. - Maidina Nabijiang; Xinjuan Wan; Shengsong Huang; Qi Liu; Bixia Wei; Jianing Zhu; Xiaodong Xie (IET Image Process., 2022)

Analysis of Factors Influencing the Development of Electricity Retail Market under Spot Market Based on DEMATEL-ISM. - Yang Han; Jianing Zhu; Hao Yin; Bo Sui; Mingshun Ji; Xinrui Zhong; Yongqian Wang (BDEIM, 2023)

Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. - Jianing Zhu; Jiangchao Yao; Tongliang Liu; Quanming Yao; Jianliang Xu; Bo Han 003 (ICLR, 2023)

Exploring Model Dynamics for Accumulative Poisoning Discovery. - Jianing Zhu; Xiawei Guo; Jiangchao Yao; Chao Du; Li He; Shuo Yuan; Tongliang Liu; Liang Wang 001; Bo Han 003 (ICML, 2023)

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. - Jianing Zhu; Hengzhuang Li; Jiangchao Yao; Tongliang Liu; Jianliang Xu; Bo Han 003 (ICML, 2023)

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. - Jianing Zhu; Yu Geng; Jiangchao Yao; Tongliang Liu; Gang Niu 001; Masashi Sugiyama; Bo Han 003 (NeurIPS, 2023)

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. - Jianing Zhu; Geng Yu; Jiangchao Yao; Tongliang Liu; Gang Niu 001; Masashi Sugiyama; Bo Han 003 (CoRR, 2023)

DeepInception: Hypnotize Large Language Model to Be Jailbreaker. - Xuan Li 005; Zhanke Zhou; Jianing Zhu; Jiangchao Yao; Tongliang Liu; Bo Han 003 (CoRR, 2023)

Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection. - Geng Yu; Jianing Zhu; Jiangchao Yao; Bo Han 003 (NeurIPS, 2024)

What If the Input is Expanded in OOD Detection? - Boxuan Zhang 001; Jianing Zhu; Zengmao Wang; Tongliang Liu; Bo Du 001; Bo Han 003 (NeurIPS, 2024)

Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales? - Zhanke Zhou; Rong Tao; Jianing Zhu; Yiwen Luo; Zengmao Wang; Bo Han 003 (NeurIPS, 2024)

Decoupling the Class Label and the Target Concept in Machine Unlearning. - Jianing Zhu; Bo Han 003; Jiangchao Yao; Jianliang Xu; Gang Niu 001; Masashi Sugiyama (CoRR, 2024)

Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning. - Qizhou Wang; Bo Han 003; Puning Yang; Jianing Zhu; Tongliang Liu; Masashi Sugiyama (CoRR, 2024)

Model Inversion Attacks: A Survey of Approaches and Countermeasures. - Zhanke Zhou; Jianing Zhu; Fengfei Yu; Xuan Li 005; Xiong Peng; Tongliang Liu; Bo Han 003 (CoRR, 2024)

Towards Effective Evaluations and Comparisons for LLM Unlearning Methods. - Qizhou Wang; Bo Han 003; Puning Yang; Jianing Zhu; Tongliang Liu; Masashi Sugiyama (ICLR, 2025)

Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement. - Zizhuo Zhang; Jianing Zhu; Xinmu Ge; Zihua Zhao; Zhanke Zhou; Xuan Li 005; Xiao Feng 003; Jiangchao Yao; Bo Han 003 (CoRR, 2025)