A computational study for common network design in multi-commodity supply chains. - Ting Wu 009; Kaike Zhang (Comput. Oper. Res., 2014)

Spare part management in a testing workshop. - Xiaobing Li; Kaike Zhang; Zhibo Tan (WSC, 2015)

A hybrid differential evolution algorithm for multiple container loading problem with heterogeneous containers. - Xueping Li; Kaike Zhang (Comput. Ind. Eng., 2015)

A sample average approximation approach for supply chain network design with facility disruptions. - Xueping Li; Kaike Zhang (Comput. Ind. Eng., 2018)

Two level uncapacitated facility location problem with disruptions. - Mohammad Ramshani; Jim Ostrowski 002; Kaike Zhang; Xueping Li (Comput. Ind. Eng., 2019)

A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions. - Wenjun Ni; Jia Shu; Miao Song 005; Dachuan Xu; Kaike Zhang (INFORMS J. Comput., 2021)

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. - Kaike Zhang; Qi Cao; Gaolin Fang; Bingbing Xu 001; Hongjian Zou; Huawei Shen; Xueqi Cheng (CoRR, 2022)

A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions. - Yongzhen Li; Xueping Li; Jia Shu; Miao Song 005; Kaike Zhang (INFORMS J. Comput., 2022)

Efficient Solution Methods for a General r-Interdiction Median Problem with Fortification. - Kaike Zhang; Xueping Li; Mingzhou Jin (INFORMS J. Comput., 2022)

DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. - Kaike Zhang; Qi Cao; Gaolin Fang; Bingbing Xu 001; Hongjian Zou; Huawei Shen; Xueqi Cheng (KDD, 2023)

Robust Recommender System: A Survey and Future Directions. - Kaike Zhang; Qi Cao; Fei Sun 001; Yunfan Wu; Shuchang Tao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. - Yu Chen; Qi Cao; Kaike Zhang; Xuchao Liu; Huawei Shen (EMNLP (Findings), 2024)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (NeurIPS, 2024)

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. - Yunfan Wu; Qi Cao; Shuchang Tao; Kaike Zhang; Fei Sun 001; Huawei Shen (RecSys, 2024)

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (RecSys, 2024)

LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Personalized Denoising Implicit Feedback for Robust Recommender System. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (WWW, 2025)

The 1st Workshop on Human-Centered Recommender Systems. - Kaike Zhang; Yunfan Wu; Yougang Lyu; Du Su; Yingqiang Ge; Shuchang Liu 001; Qi Cao; Zhaochun Ren; Fei Sun 001 (WWW (Companion Volume), 2025)

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models. - Shilong Zhao; Fei Sun 001; Kaike Zhang; Shaoling Jing; Du Su; Zhichao Shi 001; Zhiyi Yin; Huawei Shen; Xueqi Cheng (CoRR, 2025)