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ORCIDKaijie Zhu
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2020 – today
- 2025
[j23]Kaijie Zhu, Xinting Yang, Caiwei Yang, Tingting Fu, Pingchuan Ma, Weichen Hu, Chao Zhou
:
Semi-supervised fish school density estimation and counting network in recirculating aquaculture systems based on adaptive density proxy. Comput. Electron. Agric. 230: 109874 (2025)- [j22]Minghao Chen, Kaijie Zhu, Bin Lu, Ding Li, Qingjun Yuan, Yuefei Zhu:
AECR: Automatic attack technique intelligence extraction based on fine-tuned large language model. Comput. Secur. 150: 104213 (2025) - [i16]Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang, Kaijie Zhu, Kam-Fai Wong, Jindong Wang:
Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks. CoRR abs/2502.04419 (2025) - [i15]Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang:
MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison. CoRR abs/2502.05174 (2025) - [i14]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang:
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - [i13]Zekun Li, Shinda Huang, Jiangtian Wang, Nathan Zhang, Antonis Antoniades, Wenyue Hua, Kaijie Zhu, Sirui Zeng, William Yang Wang, Xifeng Yan:
AgentOrca: A Dual-System Framework to Evaluate Language Agents on Operational Routine and Constraint Adherence. CoRR abs/2503.08669 (2025) - 2024
- [j21]Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie:
PromptBench: A Unified Library for Evaluation of Large Language Models. J. Mach. Learn. Res. 25: 254:1-254:22 (2024) - [j20]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:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [c12]Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang:
AgentReview: Exploring Peer Review Dynamics with LLM Agents. EMNLP 2024: 1208-1226 - [c11]Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie:
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. ICLR 2024 - [c10]Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie:
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. ICML 2024 - [c9]Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie:
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. ICML 2024 - [c8]Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie:
Dynamic Evaluation of Large Language Models by Meta Probing Agents. ICML 2024 - [c7]Liqun Zhong, Kaijie Zhu, Ge Yang:
Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness. ICPR (1) 2024: 314-328 - [c6]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie:
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. LAMPS@CCS 2024: 57-68 - [i12]Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie:
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. CoRR abs/2402.14865 (2024) - [i11]Lizhou Fan, Wenyue Hua, Xiang Li, Kaijie Zhu, Mingyu Jin, Lingyao Li, Haoyang Ling, Jinkui Chi, Jindong Wang, Xin Ma, Yongfeng Zhang:
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models. CoRR abs/2403.01777 (2024) - [i10]Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang:
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. CoRR abs/2406.02787 (2024) - [i9]Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang:
AgentReview: Exploring Peer Review Dynamics with LLM Agents. CoRR abs/2406.12708 (2024) - 2023
- [j19]Liping Zhu, Cong Peng, Bingyao Wang, Chengyang Li, Kaijie Zhu:
CBFLNet: Cross-boundary feature learning for large-scale point cloud segmentation. Eng. Appl. Artif. Intell. 126: 106926 (2023) - [c5]Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang:
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. ICCV 2023: 4401-4411 - [i8]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie:
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR abs/2306.04528 (2023) - [i7]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i6]Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie:
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. CoRR abs/2307.11760 (2023) - [i5]Kaijie Zhu, Jindong Wang, Xixu Hu, Xing Xie, Ge Yang:
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. CoRR abs/2308.02533 (2023) - [i4]Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie:
DyVal: Graph-informed Dynamic Evaluation of Large Language Models. CoRR abs/2309.17167 (2023) - [i3]Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie:
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. CoRR abs/2310.17512 (2023) - [i2]Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie:
PromptBench: A Unified Library for Evaluation of Large Language Models. CoRR abs/2312.07910 (2023) - [i1]Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie:
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR abs/2312.11111 (2023) - 2022
- [j18]Yuhan Song, Fushan Wei, Kaijie Zhu, Yuefei Zhu:
Anomaly Detection as a Service: An Outsourced Anomaly Detection Scheme for Blockchain in a Privacy-Preserving Manner. IEEE Trans. Netw. Serv. Manag. 19(4): 3794-3809 (2022) - 2021
- [j17]Ehsan Bolandifar, Zhong Chen, Kaijie Zhu:
Managing competitive levers in a collaborative distribution channel. Eur. J. Oper. Res. 293(3): 1031-1042 (2021) - [j16]Kaijie Zhu, George Fletcher, Nikolay Yakovets:
Competition-driven modeling of temporal networks. EPJ Data Sci. 10(1): 30 (2021) - [c4]Kaijie Zhu, George Fletcher, Nikolay Yakovets:
Leveraging Temporal and Topological Selectivities in Temporal-clique Subgraph Query Processing. ICDE 2021: 672-683 - 2020
- [j15]Shiqing Yao, Kaijie Zhu:
Combating product label misconduct: The role of traceability and market inspection. Eur. J. Oper. Res. 282(2): 559-568 (2020) - [j14]Li Chen, Shiqing Yao, Kaijie Zhu:
Responsible Sourcing Under Supplier-Auditor Collusion. Manuf. Serv. Oper. Manag. 22(6): 1234-1250 (2020)
2010 – 2019
- 2019
- [j13]Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Cluster-preserving sampling from fully-dynamic streaming graphs. Inf. Sci. 482: 279-300 (2019) - [c3]Dawei Chu, Kaijie Zhu, Quanwei Cai, Jingqiang Lin, Fengjun Li, Le Guan, Lingchen Zhang:
Secure Cryptography Infrastructures in the Cloud. GLOBECOM 2019: 1-7 - [c2]Kaijie Zhu, George H. L. Fletcher, Nikolay Yakovets, Odysseas Papapetrou, Yuqing Wu:
Scalable temporal clique enumeration. SSTD 2019: 120-129 - 2018
- [j12]Qi Fu, Yongquan Li, Kaijie Zhu:
Costly information acquisition under horizontal competition. Oper. Res. Lett. 46(4): 418-423 (2018) - 2017
- [j11]Fiona X. Yang, Rachel Q. Zhang, Kaijie Zhu:
Should purchasing activities be outsourced along with production? Eur. J. Oper. Res. 257(2): 468-482 (2017) - [j10]Li Chen, Safak Yücel, Kaijie Zhu:
Inventory management in a closed-loop supply chain with advance demand information. Oper. Res. Lett. 45(2): 175-180 (2017) - [c1]Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Clustering-Structure Representative Sampling from Graph Streams. COMPLEX NETWORKS 2017: 265-277 - 2011
- [j9]Vernon N. Hsu, Kaijie Zhu:
Tax-Effective Supply Chain Decisions Under China's Export-Oriented Tax Policies. Manuf. Serv. Oper. Manag. 13(2): 163-179 (2011) - 2010
- [j8]Qi Fu, Kaijie Zhu:
Endogenous information acquisition in supply chain management. Eur. J. Oper. Res. 201(2): 454-462 (2010)
2000 – 2009
- 2009
- [j7]Yongquan Li, Kaijie Zhu:
Information acquisition in new product introduction. Eur. J. Oper. Res. 198(2): 618-625 (2009) - [j6]Lingxiu Dong, Chakravarthi Narasimhan, Kaijie Zhu:
Product Line Pricing in a Supply Chain. Manag. Sci. 55(10): 1704-1717 (2009) - 2008
- [j5]Xiangwen Lu, Jing-Sheng Song, Kaijie Zhu:
Analysis of Perishable-Inventory Systems with Censored Demand Data. Oper. Res. 56(4): 1034-1038 (2008) - 2007
- [j4]Kaijie Zhu, Rachel Q. Zhang, Fugee Tsung:
Pushing Quality Improvement Along Supply Chains. Manag. Sci. 53(3): 421-436 (2007) - [j3]Lingxiu Dong, Kaijie Zhu:
Two-Wholesale-Price Contracts: Push, Pull, and Advance-Purchase Discount Contracts. Manuf. Serv. Oper. Manag. 9(3): 291-311 (2007) - 2005
- [j2]Xiangwen Lu, Jing-Sheng Song, Kaijie Zhu:
On "The Censored Newsvendor and the Optimal Acquisition of Information". Oper. Res. 53(6): 1024-1026 (2005) - 2004
- [j1]Kaijie Zhu, Ulrich W. Thonemann:
Modeling the Benefits of Sharing Future Demand Information. Oper. Res. 52(1): 136-147 (2004)
Coauthor Index
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