Kaike Zhang

According to our database, Kaike Zhang authored at least 31 papers between 2014 and 2026.

Collaborative distances:

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

2026

Robust Recommender System: A Survey and Future Directions.

Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng

ACM Comput. Surv., January, 2026

RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation.

Sunzhu Li, Jiale Zhao, Miteto Wei, Huimin Ren, Yang Zhou, Jingwen Yang, Shunyu Liu, Kaike Zhang, Wei Chen

CoRR, January, 2026

The answer lies within: Detecting Trojans from DNNs' inherent characteristics.

Xuchao Liu, Qi Cao, Kaike Zhang, Du Su, Huawei Shen

Neural Networks, 2026

Interaction-level Membership Inference Attack for Recommender Systems via Cluster-based User Modeling.

Danyang Zong, Kaike Zhang, Qi Cao, Du Su, Fei Sun

Proceedings of the ACM Web Conference 2026, 2026

LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models.

Huimin Ren, Yan Liang, Baiqiao Su, Chaobo Sun, Hengtong Lu, Kaike Zhang, Chen Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Report on the 1st Workshop on Human-Centered Recommender Systems (HCRS 2025) at TheWebConf 2025.

Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun

SIGIR Forum, December, 2025

AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation.

Kaike Zhang, Qi Cao, Fei Sun, Xinran Liu

CoRR, December, 2025

The 2nd Workshop on Human-Centered Recommender Systems.

Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun

CoRR, November, 2025

GoalRank: Group-Relative Optimization for a Large Ranking Model.

Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai

CoRR, September, 2025

From Generation to Consumption: Personalized List Value Estimation for Re-ranking.

Kaike Zhang, Xiaobei Wang, Xiaoyu Yang, Shuchang Liu, Hailan Yang, Xiang Li, Fei Sun, Qi Cao

CoRR, August, 2025

'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems.

Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng

Proc. ACM Hum. Comput. Interact., 2025

The 1st Workshop on Human-Centered Recommender Systems.

Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Personalized Denoising Implicit Feedback for Robust Recommender System.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the ACM on Web Conference 2025, 2025

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models.

Shilong Zhao, Fei Sun, Kaike Zhang, Shaoling Jing, Du Su, Zhichao Shi, Zhiyi Yin, Huawei Shen, Xueqi Cheng

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Data Usage Privacy Auditing for Semi-supervised GNNs.

Yang Li, Kaike Zhang, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

2024

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

CoRR, 2024

LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems.

Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks.

Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.

Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Efficient Solution Methods for a General <i>r</i>-Interdiction Median Problem with Fortification.

Kaike Zhang, Xueping Li, Mingzhou Jin

INFORMS J. Comput., 2022

A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions.

Yongzhen Li, Xueping Li, Jia Shu, Miao Song, Kaike Zhang

INFORMS J. Comput., 2022

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.

Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng

CoRR, 2022

2021

A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions.

Wenjun Ni, Jia Shu, Miao Song, Dachuan Xu, Kaike Zhang

INFORMS J. Comput., 2021

2019

Two level uncapacitated facility location problem with disruptions.

Mohammad Ramshani, Jim Ostrowski, Kaike Zhang, Xueping Li

Comput. Ind. Eng., 2019

2018

A sample average approximation approach for supply chain network design with facility disruptions.

Xueping Li, Kaike Zhang

Comput. Ind. Eng., 2018

2015

A hybrid differential evolution algorithm for multiple container loading problem with heterogeneous containers.

Xueping Li, Kaike Zhang

Comput. Ind. Eng., 2015

Spare part management in a testing workshop.

Xiaobing Li, Kaike Zhang, Zhibo Tan

Proceedings of the 2015 Winter Simulation Conference, 2015

2014

A computational study for common network design in multi-commodity supply chains.

Ting Wu, Kaike Zhang

Comput. Oper. Res., 2014