Yueqi Xie

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Image Compression

Wavelet Transformed

Recommender Systems

Top Venues

Publications

Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW (2024)
Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis. ACL (1) (2024)
Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong
GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis. CoRR (2024)
Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CoRR (2024)
Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. CoRR (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR (2024)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. RecSys (2023)
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR (2023)
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR (2023)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CIKM (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR (2023)
Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR (2023)
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CoRR (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys (2023)
Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. 5 (12) (2023)
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CoRR (2022)
Yueqi Xie, Peilin Zhou, Sunghun Kim
Decoupled Side Information Fusion for Sequential Recommendation. CoRR (2022)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR (2022)
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR (2022)
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
Optimizing Image Compression via Joint Learning with Denoising. ECCV (19) (2022)
Yueqi Xie, Peilin Zhou, Sunghun Kim
Decoupled Side Information Fusion for Sequential Recommendation. SIGIR (2022)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. CoRR (2022)
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
Optimizing Image Compression via Joint Learning with Denoising. CoRR (2022)
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
IICNet: A Generic Framework for Reversible Image Conversion. ICCV (2021)
Yueqi Xie, Ka Leong Cheng, Qifeng Chen
Enhanced Invertible Encoding for Learned Image Compression. CoRR (2021)
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
IICNet: A Generic Framework for Reversible Image Conversion. CoRR (2021)
Yueqi Xie, Ka Leong Cheng, Qifeng Chen
Enhanced Invertible Encoding for Learned Image Compression. ACM Multimedia (2021)
Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie
Predict Future Sales using Ensembled Random Forests. CoRR (2019)