Yueqi Xie

According to our database, Yueqi Xie authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

2024

Measuring Human Contribution in AI-Assisted Content Generation.

Yueqi Xie, Tao Qi, Jingwei Yi, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu

CoRR, 2024

PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency.

Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

CoRR, 2024

GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis.

Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong

CoRR, 2024

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

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

CoRR, 2024

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.

Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim

Proceedings of the ACM on Web Conference 2024, 2024

FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error.

Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis.

Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Defending ChatGPT against jailbreak attack via self-reminders.

Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu

Nat. Mac. Intell., December, 2023

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

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

CoRR, 2023

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

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

CoRR, 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.

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

CoRR, 2023

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.

Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Equivariant Contrastive Learning for Sequential Recommendation.

Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.

Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Attention Calibration for Transformer-based Sequential Recommendation.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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

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

CoRR, 2022

Equivariant Contrastive Learning for Sequential Recommendation.

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

CoRR, 2022

Decoupled Side Information Fusion for Sequential Recommendation.

Yueqi Xie, Peilin Zhou, Sunghun Kim

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Optimizing Image Compression via Joint Learning with Denoising.

Ka Leong Cheng, Yueqi Xie, Qifeng Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Enhanced Invertible Encoding for Learned Image Compression.

Yueqi Xie, Ka Leong Cheng, Qifeng Chen

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

IICNet: A Generic Framework for Reversible Image Conversion.

Ka Leong Cheng, Yueqi Xie, Qifeng Chen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Predict Future Sales using Ensembled Random Forests.

Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie

CoRR, 2019