Yueqi Xie - RankMe

41 papers A* 9A 4Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. KDD (1) Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2025	—	`conf`	Defending against Indirect Prompt Injection by Instruction Detection. EMNLP (Findings) Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu
2025	J	`jnl`	Defending against Indirect Prompt Injection by Instruction Detection. CoRR Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu
2025	J	`jnl`	Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes. CoRR Tao Qi, Jinhua Yin, Dongqi Cai, Yueqi Xie, Huili Wang, Hu Zhiyang, Peiru Yang, Guoshun Nan, Zhili Zhou, Shangguang Wang, Lingjuan Lyu, Yongfeng Huang, Nicholas Donald Lane
2025	A*	`conf`	Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CVPR Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2025	J	`jnl`	Uncovering inequalities in new knowledge learning by large language models across different languages. CoRR Chenglong Wang, Haoyu Tang, Xiyuan Yang, Yueqi Xie, Jina Suh, Sunayana Sitaram, Junming Huang, Yu Xie, Zhaoya Gong, Xing Xie, Fangzhao Wu
2025	J	`jnl`	Variance reduction in output from generative AI. CoRR Yu Xie, Yueqi Xie
2025	A*	`conf`	When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. WWW 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	A*	`conf`	FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error. ICML Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2024	—	`conf`	GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis. ACL (1) Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong
2024	J	`jnl`	GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis. CoRR Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong
2024	A*	`conf`	Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
2024	J	`jnl`	Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
2024	A*	`conf`	MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. EMNLP Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang
2024	J	`jnl`	MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. CoRR Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang
2024	J	`jnl`	Measuring Human Contribution in AI-Assisted Content Generation. CoRR Yueqi Xie, Tao Qi, Jingwei Yi, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu
2024	J	`jnl`	PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CoRR Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2023	A	`conf`	Attention Calibration for Transformer-based Sequential Recommendation. CIKM Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023	J	`jnl`	Attention Calibration for Transformer-based Sequential Recommendation. CoRR Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023	J	`jnl`	Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2023	A*	`conf`	DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
2023	J	`jnl`	Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
2023	A	`conf`	Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2023	A	`conf`	Equivariant Contrastive Learning for Sequential Recommendation. RecSys Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
2023	J	`jnl`	Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
2023	J	`jnl`	LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
2023	A	`conf`	Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
2023	J	`jnl`	Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
2022	J	`jnl`	DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CoRR Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
2022	A*	`conf`	Decoupled Side Information Fusion for Sequential Recommendation. SIGIR Yueqi Xie, Peilin Zhou, Sunghun Kim
2022	J	`jnl`	Decoupled Side Information Fusion for Sequential Recommendation. CoRR Yueqi Xie, Peilin Zhou, Sunghun Kim
2022	J	`jnl`	Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2022	J	`jnl`	Equivariant Contrastive Learning for Sequential Recommendation. CoRR Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim
2022	—	`conf`	Optimizing Image Compression via Joint Learning with Denoising. ECCV (19) Ka Leong Cheng, Yueqi Xie, Qifeng Chen
2022	J	`jnl`	Optimizing Image Compression via Joint Learning with Denoising. CoRR Ka Leong Cheng, Yueqi Xie, Qifeng Chen
2022	J	`jnl`	Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim
2021	A*	`conf`	Enhanced Invertible Encoding for Learned Image Compression. ACM Multimedia Yueqi Xie, Ka Leong Cheng, Qifeng Chen
2021	J	`jnl`	Enhanced Invertible Encoding for Learned Image Compression. CoRR Yueqi Xie, Ka Leong Cheng, Qifeng Chen
2021	A*	`conf`	IICNet: A Generic Framework for Reversible Image Conversion. ICCV Ka Leong Cheng, Yueqi Xie, Qifeng Chen
2021	J	`jnl`	IICNet: A Generic Framework for Reversible Image Conversion. CoRR Ka Leong Cheng, Yueqi Xie, Qifeng Chen
2019	J	`jnl`	Predict Future Sales using Ensembled Random Forests. CoRR Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie