Yueqi Xie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Measuring Human Contribution in AI-Assisted Content Generation. | Yueqi Xie, Tao Qi, Jingwei Yi, Xiyuan Yang, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu |
| 2026 | ACL | Red-Teaming NSFW Image Classifiers as Text-to-Image Safeguards. | Tinghao Xie, Yueqi Xie, Alireza Zareian, Shuming Hu, Felix Juefei-Xu, Xiaowen Lin, Ankit Jain, Prateek Mittal, Li Chen |
| 2025 | CVPR | Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. | Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong |
| 2025 | EMNLP | Defending against Indirect Prompt Injection by Instruction Detection. | Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu |
| 2025 | KDD | Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. | Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu |
| 2025 | WWW | When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. | Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim |
| 2024 | ACL | GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis. | Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong |
| 2024 | EMNLP | 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 |
| 2024 | ICML | FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error. | Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong |
| 2024 | WWW | 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 |
| 2023 | CIKM | Attention Calibration for Transformer-based Sequential Recommendation. | Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim |
| 2023 | CVPR | DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. | Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen |
| 2023 | RecSys | 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 |
| 2023 | RecSys | Equivariant Contrastive Learning for Sequential Recommendation. | Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim |
| 2023 | WSDM | 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 |
| 2022 | ECCV | Optimizing Image Compression via Joint Learning with Denoising. | Ka Leong Cheng, Yueqi Xie, Qifeng Chen |
| 2022 | SIGIR | Decoupled Side Information Fusion for Sequential Recommendation. | Yueqi Xie, Peilin Zhou, Sunghun Kim |
| 2021 | ICCV | IICNet: A Generic Framework for Reversible Image Conversion. | Ka Leong Cheng, Yueqi Xie, Qifeng Chen |