Kaike Zhang

39 papers A* 6A 2Misc 1Journal 26Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Interaction-level Membership Inference Attack for Recommender Systems via Cluster-based User Modeling.
WWW
Danyang Zong, Kaike Zhang, Qi Cao, Du Su, Fei Sun
2026 A* conf
LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models.
AAAI
Huimin Ren, Yan Liang, Baiqiao Su, Chaobo Sun, Hengtong Lu, Kaike Zhang, Chen Wei
2026 J jnl
Robust Recommender System: A Survey and Future Directions.
ACM Comput. Surv.
Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng
2026 J jnl
RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation.
CoRR
Sunzhu Li, Jiale Zhao, Miteto Wei, Huimin Ren, Yang Zhou, Jingwen Yang, Shunyu Liu, Kaike Zhang, Wei Chen
2026 J jnl
The answer lies within: Detecting Trojans from DNNs' inherent characteristics.
Neural Networks
Xuchao Liu, Qi Cao, Kaike Zhang, Du Su, Huawei Shen
2025 J jnl
'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems.
Proc. ACM Hum. Comput. Interact.
Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng
2025 J jnl
AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation.
CoRR
Kaike Zhang, Qi Cao, Fei Sun, Xinran Liu
2025 — conf
Data Usage Privacy Auditing for Semi-supervised GNNs.
SIGIR-AP
Yang Li, Kaike Zhang, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen
2025 J jnl
From Generation to Consumption: Personalized List Value Estimation for Re-ranking.
CoRR
Kaike Zhang, Xiaobei Wang, Xiaoyu Yang, Shuchang Liu, Hailan Yang, Xiang Li, Fei Sun, Qi Cao
2025 J jnl
GoalRank: Group-Relative Optimization for a Large Ranking Model.
CoRR
Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai
2025 — conf
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models.
SIGIR-AP
Shilong Zhao, Fei Sun, Kaike Zhang, Shaoling Jing, Du Su, Zhichao Shi, Zhiyi Yin, Huawei Shen, Xueqi Cheng
2025 J jnl
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models.
CoRR
Shilong Zhao, Fei Sun, Kaike Zhang, Shaoling Jing, Du Su, Zhichao Shi, Zhiyi Yin, Huawei Shen, Xueqi Cheng
2025 J jnl
LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models.
CoRR
Huimin Ren, Yan Liang, Baiqiao Su, Chaobo Sun, Hengtong Lu, Kaike Zhang, Chen Wei
2025 A* conf
Personalized Denoising Implicit Feedback for Robust Recommender System.
WWW
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2025 J jnl
Personalized Denoising Implicit Feedback for Robust Recommender System.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2025 J jnl
Report on the 1st Workshop on Human-Centered Recommender Systems (HCRS 2025) at TheWebConf 2025.
SIGIR Forum
Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2025 — conf
The 1st Workshop on Human-Centered Recommender Systems.
WWW (Companion Volume)
Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2025 J jnl
The 2nd Workshop on Human-Centered Recommender Systems.
CoRR
Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun
2024 A conf
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems.
RecSys
Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen
2024 J jnl
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems.
CoRR
Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen
2024 A conf
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.
RecSys
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 A* conf
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation.
SIGIR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 — conf
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks.
EMNLP (Findings)
Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen
2024 J jnl
The 1st Workshop on Human-Centered Recommender Systems.
CoRR
Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2024 A* conf
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.
NeurIPS
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2023 A* conf
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.
KDD
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2023 J jnl
Robust Recommender System: A Survey and Future Directions.
CoRR
Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng
2022 J jnl
A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions.
INFORMS J. Comput.
Yongzhen Li, Xueping Li, Jia Shu, Miao Song, Kaike Zhang
2022 J jnl
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.
CoRR
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2022 J jnl
Efficient Solution Methods for a General
INFORMS J. Comput.
Kaike Zhang, Xueping Li, Mingzhou Jin
2021 J jnl
A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions.
INFORMS J. Comput.
Wenjun Ni, Jia Shu, Miao Song, Dachuan Xu, Kaike Zhang
2019 J jnl
Two level uncapacitated facility location problem with disruptions.
Comput. Ind. Eng.
Mohammad Ramshani, Jim Ostrowski, Kaike Zhang, Xueping Li
2018 J jnl
A sample average approximation approach for supply chain network design with facility disruptions.
Comput. Ind. Eng.
Xueping Li, Kaike Zhang
2015 J jnl
A hybrid differential evolution algorithm for multiple container loading problem with heterogeneous containers.
Comput. Ind. Eng.
Xueping Li, Kaike Zhang
2015 Misc conf
Spare part management in a testing workshop.
WSC
Xiaobing Li, Kaike Zhang, Zhibo Tan
2014 J jnl
A computational study for common network design in multi-commodity supply chains.
Comput. Oper. Res.
Ting Wu, Kaike Zhang