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Yueqi Xie

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MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance

Jan 17, 2024
Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang

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Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Dec 21, 2023
Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu

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Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study

Nov 07, 2023
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim

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LLMRec: Benchmarking Large Language Models on Recommendation Task

Aug 23, 2023
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

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Attention Calibration for Transformer-based Sequential Recommendation

Aug 18, 2023
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim

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Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems

Feb 28, 2023
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim

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DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics

Nov 20, 2022
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen

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Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization

Nov 20, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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Equivariant Contrastive Learning for Sequential Recommendation

Nov 18, 2022
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim

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Optimizing Server-side Aggregation For Robust Federated Learning via Subspace Training

Nov 10, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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