Dan Luo | Adobe Digital Experience Platform

About Me

I am an Applied Scientist at Adobe Digital Experience Platform. I received my Ph.D. from the Department of Computer Science and Engineering at Lehigh University, advised by Prof. Brian D. Davison. Before that, I was a Senior Research Engineer at Baidu Web Search (Learning-to-Rank group). I received my M.S. in Computer Science and Technology from Huazhong University of Science and Technology and my B.E. in Computer Science and Technology from Wuhan University of Science and Technology.

Research Interests

Information Retrieval: search and ranking
Recommender Systems: collaborative filtering, multi-modal recommendation
Large Language Models: integration with IR, understanding mechanism in Large Language Models

Publications

PAGER: Proactive Monitoring Agent for Enterprise AI Assistant

Sujan Dutta, Junior Francisco Garcia Ayala, Pranav Pujar, Sai Sree Harsha, Dan Luo, Nikhil Vasudeva, Bikas Saha, Pritom Baruah, Yunyao Li

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026.
From Aggregation to Selection: User-Validated Distributed Social Recommendation

Jingyuan Huang, Dan Luo, Zihe Ye, Weixin Chen, Minghao Guo, Yongfeng Zhang

The 2nd Workshop on Human-Centered Recommender Systems (HCRS@WWW), 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

The ACM Web Conference (WWW), 2026.
How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective

Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu

The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 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, Yue Ding, Mei Li, Wenqing Lin, Hongtao Lu

The 34th ACM International Conference on Information and Knowledge Management (CIKM), 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

The 33rd ACM International Conference on Multimedia (ACM MM), 2025.
Flow Matching based Sequential Recommender Model

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

The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.
Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision

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

Findings of the Association for Computational Linguistics (ACL), 2025.
Decoupled contrastive learning for multilingual multimodal medical pre-trained model

Qiyuan Li, Chen Qiu, Haijiang Liu, Jinguang Gu, Dan Luo

Neurocomputing, Volume 633, 2025
LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation

Yang Sun, Zhiyong Xie, Lixin Zou, Dan Luo, Min Tang, Xiangyu Zhao, Yunwei Zhao, Xixun Lin, Yanxiong Lu, Chenliang Li

arXiv preprint arXiv:2508.19614, 2025.
Mitigating Language Confusion through Inference-time Intervention

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

The 31st International Conference on Computational Linguistics (COLING), 2025.
Federated Retrieval Augmented Generation for Multi-Product Question Answering

Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li

The 31st International Conference on Computational Linguistics (COLING), 2025.
Efficient Sparse Attention needs Adaptive Token Release

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

Findings of the Association for Computational Linguistics (ACL), 2024.
Unconfounded Propensity Estimation for Unbiased Ranking

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

The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024.
Model-based Unbiased Learning to Rank

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

The Sixteenth ACM International Conference on Web Search and Data Mining (WSDM), 2023.
Robust Point Set Registration with Mixture Re-Weighting Based on Relative Geometric Structures

Yucheng Shu, Zhenlong Liao, Dan Luo

The 31st IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019.
XML Multi-core Query Optimization based on Task Preemption and Data Partition

Pingfang Tian, Dan Luo, Yaoyao Li, Jinguang Gu

The Joint International Semantic Technology Conference (JIST), 2013.

Services

Program Committee

WWW: ACM on Web Conference, 2026
WSDM: ACM International Conference on Web Search and Data Mining, 2024, 2025, 2026
SIGIR: International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025, 2026
CIKM: ACM International Conference on Information and Knowledge Management, 2025, 2026
ICTIR: International Conference on the Theory of Information Retrieval, 2023, 2026
ACL: Annual Meeting of the Association for Computational Linguistics, 2025

Volunteer

SIGIR: International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024