Kaijie Zhu

According to our database, Kaijie Zhu authored at least 41 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AECR: Automatic attack technique intelligence extraction based on fine-tuned large language model.

Minghao Chen, Kaijie Zhu, Bin Lu, Ding Li, Qingjun Yuan, Yuefei Zhu

Comput. Secur., 2025

2024

A Survey on Evaluation of Large Language Models.

Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie

ACM Trans. Intell. Syst. Technol., June, 2024

PromptBench: A Unified Library for Evaluation of Large Language Models.

Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie

J. Mach. Learn. Res., 2024

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities.

Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang

CoRR, 2024

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models.

Lizhou Fan, Wenyue Hua, Xiang Li, Kaijie Zhu, Mingyu Jin, Lingyao Li, Haoyang Ling, Jinkui Chi, Jindong Wang, Xin Ma, Yongfeng Zhang

CoRR, 2024

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents.

Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie

CoRR, 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness.

Liqun Zhong, Kaijie Zhu, Ge Yang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Dynamic Evaluation of Large Language Models by Meta Probing Agents.

Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.

Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Good, The Bad, and Why: Unveiling Emotions in Generative AI.

Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.

Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentReview: Exploring Peer Review Dynamics with LLM Agents.

Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

CBFLNet: Cross-boundary feature learning for large-scale point cloud segmentation.

Liping Zhu, Cong Peng, Bingyao Wang, Chengyang Li, Kaijie Zhu

Eng. Appl. Artif. Intell., November, 2023

CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.

Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

CoRR, 2023

DyVal: Graph-informed Dynamic Evaluation of Large Language Models.

Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie

CoRR, 2023

EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.

Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie

CoRR, 2023

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.

Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Anomaly Detection as a Service: An Outsourced Anomaly Detection Scheme for Blockchain in a Privacy-Preserving Manner.

Yuhan Song, Fushan Wei, Kaijie Zhu, Yuefei Zhu

IEEE Trans. Netw. Serv. Manag., December, 2022

2021

Competition-driven modeling of temporal networks.

Kaijie Zhu, George Fletcher, Nikolay Yakovets

EPJ Data Sci., 2021

Managing competitive levers in a collaborative distribution channel.

Ehsan Bolandifar, Zhong Chen, Kaijie Zhu

Eur. J. Oper. Res., 2021

Leveraging Temporal and Topological Selectivities in Temporal-clique Subgraph Query Processing.

Kaijie Zhu, George Fletcher, Nikolay Yakovets

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Responsible Sourcing Under Supplier-Auditor Collusion.

Li Chen, Shiqing Yao, Kaijie Zhu

Manuf. Serv. Oper. Manag., 2020

Combating product label misconduct: The role of traceability and market inspection.

Shiqing Yao, Kaijie Zhu

Eur. J. Oper. Res., 2020

2019

Cluster-preserving sampling from fully-dynamic streaming graphs.

Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy

Inf. Sci., 2019

Scalable temporal clique enumeration.

Kaijie Zhu, George H. L. Fletcher, Nikolay Yakovets, Odysseas Papapetrou, Yuqing Wu

Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

Secure Cryptography Infrastructures in the Cloud.

Dawei Chu, Kaijie Zhu, Quanwei Cai, Jingqiang Lin, Fengjun Li, Le Guan, Lingchen Zhang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Costly information acquisition under horizontal competition.

Qi Fu, Yongquan Li, Kaijie Zhu

Oper. Res. Lett., 2018

2017

Inventory management in a closed-loop supply chain with advance demand information.

Li Chen, Safak Yücel, Kaijie Zhu

Oper. Res. Lett., 2017

Should purchasing activities be outsourced along with production?

Fiona X. Yang, Rachel Q. Zhang, Kaijie Zhu

Eur. J. Oper. Res., 2017

Clustering-Structure Representative Sampling from Graph Streams.

Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy

Proceedings of the Complex Networks & Their Applications VI, 2017

2011

Tax-Effective Supply Chain Decisions Under China's Export-Oriented Tax Policies.

Vernon N. Hsu, Kaijie Zhu

Manuf. Serv. Oper. Manag., 2011

2010

Endogenous information acquisition in supply chain management.

Qi Fu, Kaijie Zhu

Eur. J. Oper. Res., 2010

2009

Product Line Pricing in a Supply Chain.

Lingxiu Dong, Chakravarthi Narasimhan, Kaijie Zhu

Manag. Sci., 2009

Information acquisition in new product introduction.

Yongquan Li, Kaijie Zhu

Eur. J. Oper. Res., 2009

2008

Analysis of Perishable-Inventory Systems with Censored Demand Data.

Xiangwen Lu, Jing-Sheng Song, Kaijie Zhu

Oper. Res., 2008

2007

Two-Wholesale-Price Contracts: Push, Pull, and Advance-Purchase Discount Contracts.

Lingxiu Dong, Kaijie Zhu

Manuf. Serv. Oper. Manag., 2007

Pushing Quality Improvement Along Supply Chains.

Kaijie Zhu, Rachel Q. Zhang, Fugee Tsung

Manag. Sci., 2007

2005

On "The Censored Newsvendor and the Optimal Acquisition of Information".

Xiangwen Lu, Jing-Sheng Song, Kaijie Zhu

Oper. Res., 2005

2004

Modeling the Benefits of Sharing Future Demand Information.

Kaijie Zhu, Ulrich W. Thonemann

Oper. Res., 2004