Modeling the Benefits of Sharing Future Demand Information. - Kaijie Zhu; Ulrich W. Thonemann (Oper. Res., 2004)

On "The Censored Newsvendor and the Optimal Acquisition of Information". - Xiangwen Lu; Jing-Sheng Song 001; Kaijie Zhu (Oper. Res., 2005)

Pushing Quality Improvement Along Supply Chains. - Kaijie Zhu; Rachel Q. Zhang; Fugee Tsung (Manag. Sci., 2007)

Two-Wholesale-Price Contracts: Push, Pull, and Advance-Purchase Discount Contracts. - Lingxiu Dong; Kaijie Zhu (Manuf. Serv. Oper. Manag., 2007)

Analysis of Perishable-Inventory Systems with Censored Demand Data. - Xiangwen Lu; Jing-Sheng Song 001; Kaijie Zhu (Oper. Res., 2008)

Information acquisition in new product introduction. - Yongquan Li; Kaijie Zhu (Eur. J. Oper. Res., 2009)

Product Line Pricing in a Supply Chain. - Lingxiu Dong; Chakravarthi Narasimhan; Kaijie Zhu (Manag. Sci., 2009)

Endogenous information acquisition in supply chain management. - Qi Fu; Kaijie Zhu (Eur. J. Oper. Res., 2010)

Tax-Effective Supply Chain Decisions Under China's Export-Oriented Tax Policies. - Vernon N. Hsu; Kaijie Zhu (Manuf. Serv. Oper. Manag., 2011)

Clustering-Structure Representative Sampling from Graph Streams. - Jianpeng Zhang; Kaijie Zhu; Yulong Pei; George H. L. Fletcher; Mykola Pechenizkiy (COMPLEX NETWORKS, 2017)

Should purchasing activities be outsourced along with production? - Fiona X. Yang; Rachel Q. Zhang; Kaijie Zhu (Eur. J. Oper. Res., 2017)

Inventory management in a closed-loop supply chain with advance demand information. - Li Chen 030; Safak Yücel; Kaijie Zhu (Oper. Res. Lett., 2017)

Costly information acquisition under horizontal competition. - Qi Fu; Yongquan Li; Kaijie Zhu (Oper. Res. Lett., 2018)

Secure Cryptography Infrastructures in the Cloud. - Dawei Chu; Kaijie Zhu; Quanwei Cai 001; Jingqiang Lin 001; Fengjun Li; Le Guan; Lingchen Zhang (GLOBECOM, 2019)

Scalable temporal clique enumeration. - Kaijie Zhu; George H. L. Fletcher; Nikolay Yakovets; Odysseas Papapetrou; Yuqing Wu (SSTD, 2019)

Cluster-preserving sampling from fully-dynamic streaming graphs. - Jianpeng Zhang; Kaijie Zhu; Yulong Pei; George H. L. Fletcher; Mykola Pechenizkiy (Inf. Sci., 2019)

Combating product label misconduct: The role of traceability and market inspection. - Shiqing Yao; Kaijie Zhu (Eur. J. Oper. Res., 2020)

Responsible Sourcing Under Supplier-Auditor Collusion. - Li Chen 030; Shiqing Yao; Kaijie Zhu (Manuf. Serv. Oper. Manag., 2020)

Leveraging Temporal and Topological Selectivities in Temporal-clique Subgraph Query Processing. - Kaijie Zhu; George Fletcher 001; Nikolay Yakovets (ICDE, 2021)

Managing competitive levers in a collaborative distribution channel. - Ehsan Bolandifar; Zhong Chen; Kaijie Zhu (Eur. J. Oper. Res., 2021)

Competition-driven modeling of temporal networks. - Kaijie Zhu; George Fletcher 001; Nikolay Yakovets (EPJ Data Sci., 2021)

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., 2022)

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. - Kaijie Zhu; Xixu Hu; Jindong Wang 001; Xing Xie 001; Ge Yang 002 (ICCV, 2023)

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Neil Zhenqiang Gong; Yue Zhang 004; Xing Xie 001 (CoRR, 2023)

EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. - Cheng Li; Jindong Wang 001; Kaijie Zhu; Yixuan Zhang 001; Wenxin Hou; Jianxun Lian; Xing Xie 001 (CoRR, 2023)

DyVal: Graph-informed Dynamic Evaluation of Large Language Models. - Kaijie Zhu; Jiaao Chen; Jindong Wang 001; Neil Zhenqiang Gong; Diyi Yang; Xing Xie 001 (CoRR, 2023)

CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. - Qinlin Zhao; Jindong Wang 001; Yixuan Zhang 001; Yiqiao Jin; Kaijie Zhu; Hao Chen 102; Xing Xie 001 (CoRR, 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., 2023)

AgentReview: Exploring Peer Review Dynamics with LLM Agents. - Yiqiao Jin; Qinlin Zhao; Yiyang Wang; Hao Chen 102; Kaijie Zhu; Yijia Xiao; Jindong Wang 001 (EMNLP, 2024)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. - Kaijie Zhu; Jiaao Chen; Jindong Wang 001; Neil Zhenqiang Gong; Diyi Yang; Xing Xie 001 (ICLR, 2024)

The Good, The Bad, and Why: Unveiling Emotions in Generative AI. - Cheng Li; Jindong Wang 001; Yixuan Zhang 001; Kaijie Zhu; Xinyi Wang; Wenxin Hou; Jianxun Lian; Fang Luo; Qiang Yang 001; Xing Xie 001 (ICML, 2024)

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. - Qinlin Zhao; Jindong Wang 001; Yixuan Zhang 001; Yiqiao Jin; Kaijie Zhu; Hao Chen 102; Xing Xie 001 (ICML, 2024)

Dynamic Evaluation of Large Language Models by Meta Probing Agents. - Kaijie Zhu; Jindong Wang 001; Qinlin Zhao; Ruochen Xu; Xing Xie 001 (ICML, 2024)

Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness. - Liqun Zhong; Kaijie Zhu; Ge Yang 002 (ICPR (1), 2024)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Yue Zhang 004; Neil Gong 001; Xing Xie 001 (LAMPS@CCS, 2024)

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. - Kaijie Zhu; Jindong Wang 001; Qinlin Zhao; Ruochen Xu; Xing Xie 001 (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 001; Xin Ma; Yongfeng Zhang (CoRR, 2024)

PromptBench: A Unified Library for Evaluation of Large Language Models. - Kaijie Zhu; Qinlin Zhao; Hao Chen 102; Jindong Wang 001; Xing Xie 001 (J. Mach. Learn. Res., 2024)

A Survey on Evaluation of Large Language Models. - Yupeng Chang; Xu Wang; Jindong Wang 001; Yuan Wu 002; Linyi Yang; Kaijie Zhu; Hao Chen 102; Xiaoyuan Yi; Cunxiang Wang; Yidong Wang; Wei Ye 004; Yue Zhang 004; et al. (ACM Trans. Intell. Syst. Technol., 2024)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. - Wenyue Hua; Kaijie Zhu; Lingyao Li; Lizhou Fan; Mingyu Jin; Shuhang Lin; Haochen Xue; Zelong Li; Jindong Wang 001; Yongfeng Zhang (ACL (Findings), 2025)

Semi-supervised fish school density estimation and counting network in recirculating aquaculture systems based on adaptive density proxy. - Kaijie Zhu; Xinting Yang; Caiwei Yang; Tingting Fu; Pingchuan Ma 013; Weichen Hu; Chao Zhou 011 (Comput. Electron. Agric., 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)

Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks. - Miaomiao Li; Hao Chen 102; Yang Wang; Tingyuan Zhu; Weijia Zhang; Kaijie Zhu; Kam-Fai Wong; Jindong Wang 001 (CoRR, 2025)

MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison. - Kaijie Zhu; Xianjun Yang; Jindong Wang 001; Wenbo Guo 002; William Yang Wang (CoRR, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

AgentOrca: A Dual-System Framework to Evaluate Language Agents on Operational Routine and Constraint Adherence. - Zekun Li 008; Shinda Huang; Jiangtian Wang; Nathan Zhang; Antonis Antoniades; Wenyue Hua; Kaijie Zhu; Sirui Zeng; William Yang Wang; Xifeng Yan (CoRR, 2025)

Achilles Heel of Distributed Multi-Agent Systems. - Yiting Zhang; Yijiang Li; Tianwei Zhao; Kaijie Zhu; Haohan Wang; Nuno Vasconcelos (CoRR, 2025)

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach. - Yuchen Wu; Edward Sun; Kaijie Zhu; Jianxun Lian; José Hernández-Orallo; Aylin Caliskan; Jindong Wang 001 (CoRR, 2025)

Co-PatcheR: Collaborative Software Patching with Component(s)-specific Small Reasoning Models. - Yuheng Tang; Hongwei Li; Kaijie Zhu; Michael Yang; Yangruibo Ding; Wenbo Guo 002 (CoRR, 2025)

PromptArmor: Simple yet Effective Prompt Injection Defenses. - Tianneng Shi; Kaijie Zhu; Zhun Wang; Yuqi Jia; Will Cai; Weida Liang; Haonan Wang; Hend Alzahrani; Joshua Lu; Kenji Kawaguchi; Basel Alomair; Xuandong Zhao; et al. (CoRR, 2025)