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Yueqi Xie
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2020 – today
- 2024
- [c13]Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong:
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis. ACL (1) 2024: 507-518 - [c12]Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang:
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. EMNLP 2024: 16012-16027 - [c11]Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong:
FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error. ICML 2024 - [c10]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: 3854-3863 - [i19]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 abs/2401.02906 (2024) - [i18]Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong:
GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis. CoRR abs/2402.13494 (2024) - [i17]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 abs/2403.11136 (2024) - [i16]Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong:
PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CoRR abs/2404.15611 (2024) - [i15]Yueqi Xie, Tao Qi, Jingwei Yi, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu:
Measuring Human Contribution in AI-Assisted Content Generation. CoRR abs/2408.14792 (2024) - 2023
- [j1]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): 1486-1496 (2023) - [c9]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: 3595-3605 - [c8]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR 2023: 12177-12186 - [c7]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. RecSys 2023: 129-140 - [c6]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: 283-293 - [c5]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: 168-176 - [i14]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 abs/2302.14532 (2023) - [i13]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 abs/2308.09419 (2023) - [i12]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 abs/2308.12241 (2023) - [i11]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 abs/2311.04199 (2023) - [i10]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 abs/2312.14197 (2023) - 2022
- [c4]Ka Leong Cheng, Yueqi Xie, Qifeng Chen:
Optimizing Image Compression via Joint Learning with Denoising. ECCV (19) 2022: 56-73 - [c3]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. SIGIR 2022: 1611-1621 - [i9]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. CoRR abs/2204.11046 (2022) - [i8]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 abs/2206.12781 (2022) - [i7]Ka Leong Cheng, Yueqi Xie, Qifeng Chen:
Optimizing Image Compression via Joint Learning with Denoising. CoRR abs/2207.10869 (2022) - [i6]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. CoRR abs/2211.05290 (2022) - [i5]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 abs/2211.05554 (2022) - [i4]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CoRR abs/2211.10878 (2022) - 2021
- [c2]Ka Leong Cheng, Yueqi Xie, Qifeng Chen:
IICNet: A Generic Framework for Reversible Image Conversion. ICCV 2021: 1971-1980 - [c1]Yueqi Xie, Ka Leong Cheng, Qifeng Chen:
Enhanced Invertible Encoding for Learned Image Compression. ACM Multimedia 2021: 162-170 - [i3]Yueqi Xie, Ka Leong Cheng, Qifeng Chen:
Enhanced Invertible Encoding for Learned Image Compression. CoRR abs/2108.03690 (2021) - [i2]Ka Leong Cheng, Yueqi Xie, Qifeng Chen:
IICNet: A Generic Framework for Reversible Image Conversion. CoRR abs/2109.04242 (2021)
2010 – 2019
- 2019
- [i1]Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie:
Predict Future Sales using Ensembled Random Forests. CoRR abs/1904.09031 (2019)
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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