Jianing Zhu - RankMe

39 papers A* 11B 1C 3Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks. CoRR Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi Ma, Yun Huang, Chaowei Xiao, Bowen Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang
2026	J	`jnl`	Slack Federated Adversarial Training. IEEE Trans. Pattern Anal. Mach. Intell. Jianing Zhu, Bo Han, Jiangchao Yao, Quanming Yao, Tongliang Liu, Jianliang Xu
2025	J	`jnl`	Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement. CoRR Zizhuo Zhang, Jianing Zhu, Xinmu Ge, Zihua Zhao, Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han
2025	J	`jnl`	DreaMontage: Arbitrary Frame-Guided One-Shot Video Generation. CoRR Jiawei Liu, Junqiao Li, Jiangfan Deng, Gen Li, SiYu Zhou, Zetao Fang, Shanshan Lao, Zengde Deng, Jianing Zhu, Tingting Ma, Jiayi Li, Yunqiu Wang, Qian He, Xinglong Wu
2025	A*	`conf`	Towards Effective Evaluations and Comparisons for LLM Unlearning Methods. ICLR Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama
2025	J	`jnl`	Towards Understanding Valuable Preference Data for Large Language Model Alignment. CoRR Zizhuo Zhang, Qizhou Wang, Shanshan Ye, Jianing Zhu, Jiangchao Yao, Bo Han, Masashi Sugiyama
2024	A*	`conf`	Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales? NeurIPS Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han
2024	J	`jnl`	Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales? CoRR Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han
2024	J	`jnl`	Decoupling the Class Label and the Target Concept in Machine Unlearning. CoRR Jianing Zhu, Bo Han, Jiangchao Yao, Jianliang Xu, Gang Niu, Masashi Sugiyama
2024	J	`jnl`	Model Inversion Attacks: A Survey of Approaches and Countermeasures. CoRR Zhanke Zhou, Jianing Zhu, Fengfei Yu, Xuan Li, Xiong Peng, Tongliang Liu, Bo Han
2024	A*	`conf`	Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection. NeurIPS Geng Yu, Jianing Zhu, Jiangchao Yao, Bo Han
2024	J	`jnl`	Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection. CoRR Geng Yu, Jianing Zhu, Jiangchao Yao, Bo Han
2024	J	`jnl`	Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning. CoRR Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama
2024	A*	`conf`	What If the Input is Expanded in OOD Detection? NeurIPS Boxuan Zhang, Jianing Zhu, Zengmao Wang, Tongliang Liu, Bo Du, Bo Han
2024	J	`jnl`	What If the Input is Expanded in OOD Detection? CoRR Boxuan Zhang, Jianing Zhu, Zengmao Wang, Tongliang Liu, Bo Du, Bo Han
2023	—	`conf`	Analysis of Factors Influencing the Development of Electricity Retail Market under Spot Market Based on DEMATEL-ISM. BDEIM Yang Han, Jianing Zhu, Hao Yin, Bo Sui, Mingshun Ji, Xinrui Zhong, Yongqian Wang
2023	A*	`conf`	Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. ICLR Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
2023	J	`jnl`	Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. CoRR Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
2023	J	`jnl`	DeepInception: Hypnotize Large Language Model to Be Jailbreaker. CoRR Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han
2023	A*	`conf`	Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. NeurIPS Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han
2023	J	`jnl`	Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. CoRR Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han
2023	A*	`conf`	Exploring Model Dynamics for Accumulative Poisoning Discovery. ICML Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han
2023	J	`jnl`	Exploring Model Dynamics for Accumulative Poisoning Discovery. CoRR Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han
2023	A*	`conf`	Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. ICML Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han
2023	J	`jnl`	Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. CoRR Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han
2022	A*	`conf`	Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. NeurIPS Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama
2022	J	`jnl`	Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. CoRR Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama
2022	J	`jnl`	BAM: Block attention mechanism for OCT image classification. IET Image Process. Maidina Nabijiang, Xinjuan Wan, Shengsong Huang, Qi Liu, Bixia Wei, Jianing Zhu, Xiaodong Xie
2022	A*	`conf`	Reliable Adversarial Distillation with Unreliable Teachers. ICLR Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
2021	C	`conf`	Component Based and Machine Learning Aided Optimal Filter Design for Full-Bridge Current Doubler Rectifier. IECON Guihua Liu, Yan-Bo Chen, Yuan Gao, Jianing Zhu, Bo-Xin Wang, Tao Yang
2021	A*	`conf`	Geometry-aware Instance-reweighted Adversarial Training. ICLR Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli
2021	J	`jnl`	Reliable Adversarial Distillation with Unreliable Teachers. CoRR Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
2021	J	`jnl`	Understanding the Interaction of Adversarial Training with Noisy Labels. CoRR Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan S. Kankanhalli, Masashi Sugiyama
2020	C	`conf`	A Novel FLL for Single-Phase Grid-Connected PV Inverter Under Weak Grid. IECON Guihua Liu, Jianing Zhu, Hang Zhou, Wenxiu Wang, Wei Wang
2020	B	`conf`	Detection Features as Attention (Defat): A Keypoint-Free Approach to Amur Tiger Re-Identification. ICIP Xinhua Cheng, Jianing Zhu, Nan Zhang, Qian Wang, Qijun Zhao
2020	J	`jnl`	Geometry-aware Instance-reweighted Adversarial Training. CoRR Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli
2020	C	`conf`	Synchronous Control Method of Three-phase Inverter Under Unbalanced Conditions Using the Energy Operator. IECON Guihua Liu, Wenxiu Wang, Jianing Zhu, Wei Wang, Patrick Wheeler
2019	—	`conf`	Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification. ICCV Workshops Ning Liu, Qijun Zhao, Nan Zhang, Xinhua Cheng, Jianing Zhu
2007	J	`jnl`	Finding and Quantitative Evaluation of Minute Flaws on Metal Surface Using Hairline. IEEE Trans. Ind. Electron. Jianing Zhu, Yasushi Mae, Mamoru Minami