Yueqi Xie
Cited by
Cited by
Enhanced Invertible Encoding for Learned Image Compression
Y Xie, KL Cheng, Q Chen
ACM International Conference on Multimedia (ACM MM), 2021
Defending chatgpt against jailbreak attack via self-reminders
Y Xie, J Yi, J Shao, J Curl, L Lyu, Q Chen, X Xie, F Wu
Nature Machine Intelligence 5 (12), 1486-1496, 2023
Decoupled Side Information Fusion for Sequential Recommendation
Y Xie, P Zhou, S Kim
International ACM SIGIR Conference (SIGIR), 2022
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
P Zhang, J Guo, C Li, Y Xie, J Kim, Y Zhang, X Xie, H Wang, S Kim
Web Search and Data Mining (WSDM), Best Paper Award Honorable Mention, 2023
Benchmarking and defending against indirect prompt injection attacks on large language models
J Yi, Y Xie, B Zhu, E Kiciman, G Sun, X Xie, F Wu
arXiv preprint arXiv:2312.14197, 2023
IICNet: A Generic Framework for Reversible Image Conversion
KL Cheng, Y Xie, Q Chen
International Conference on Computer Vision (ICCV), 2021
Llmrec: Benchmarking large language models on recommendation task
J Liu, C Liu, P Zhou, Q Ye, D Chong, K Zhou, Y Xie, Y Cao, S Wang, ...
arXiv preprint arXiv:2308.12241, 2023
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance
R Pi, T Han, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang
arXiv preprint arXiv:2401.02906, 2024
Equivariant Contrastive Learning for Sequential Recommendation
P Zhou, J Gao, Y Xie, Q Ye, Y Hua, S Kim
ACM Conference on Recommender Systems (RecSys), 2023
Optimizing Image Compression via Joint Learning with Denoising
KL Cheng, Y Xie, Q Chen
European Conference on Computer Vision (ECCV), 2022
Exploring recommendation capabilities of gpt-4v (ision): A preliminary case study
P Zhou, M Cao, YL Huang, Q Ye, P Zhang, J Liu, Y Xie, Y Hua, J Kim
arXiv preprint arXiv:2311.04199, 2023
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
Y Xie, J Gao, P Zhou, Q Ye, Y Hua, J Kim, F Wu, S Kim
ACM Conference on Recommender Systems (RecSys), 2023
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
R Pi, W Zhang, Y Xie, J Gao, X Wang, S Kim, Q Chen
Computer Vision and Pattern Recognition (CVPR), 2023
GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis
Y Xie, M Fang, R Pi, N Gong
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Attention Calibration for Transformer-based Sequential Recommendation
P Zhou, Q Ye, Y Xie, J Gao, S Wang, JB Kim, C You, S Kim
International Conference on Information and Knowledge Management (CIKM …, 2023
Robust federated learning against both data heterogeneity and poisoning attack via aggregation optimization
Y Xie, W Zhang, R Pi, F Wu, Q Chen, X Xie, S Kim
arXiv preprint arXiv:2211.05554, 2022
PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
Y Xie, M Fang, NZ Gong
arXiv preprint arXiv:2404.15611, 2024
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation
P Zhou, YL Huang, Y Xie, J Gao, S Wang, JB Kim, S Kim
The Web Conference (WWW), 2024
FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error
Y Xie, M Fang, NZ Gong
International Conference on Machine Learning (ICML), 2024
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