Dan Luo

According to our database, Dan Luo authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning.

Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong, Yifan Zhang

Proceedings of the ACM Web Conference 2026, 2026

2025

LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation.

Yang Sun, Lixin Zou, Dan Luo, Zhiyong Xie, Long Zhang, Liming Dong, Yunwei Zhao, Xixun Lin, Yanxiong Lu, Chenliang Li

CoRR, August, 2025

Generating Negative Samples for Multi-Modal Recommendation.

Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Jing Tong, Shaokai Wu, Hongtao Lu

CoRR, January, 2025

Generating Negative Samples for Multi-Modal Recommendation.

Yanbiao Ji, Dan Luo, Chang Liu, Shaokai Wu, Jing Tong, Qichen He, Deyi Ji, Hongtao Lu, Yue Ding

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Flow Matching Based Sequential Recommender Model.

Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mitigating Language Confusion through Inference-time Intervention.

Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo

Proceedings of the 31st International Conference on Computational Linguistics, 2025

From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.

Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision.

Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.

Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu

CoRR, 2024

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Efficient Sparse Attention needs Adaptive Token Release.

Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Unconfounded Propensity Estimation for Unbiased Ranking.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

CoRR, 2023

Model-based Unbiased Learning to Rank.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison

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

2022

Memory Defense: More Robust Classification via a Memory-Masking Autoencoder.

Eashan Adhikarla, Dan Luo, Brian D. Davison

CoRR, 2022