Xiangjun Fan

According to our database, Xiangjun Fan authored at least 26 papers between 2020 and 2026.

Collaborative distances:

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

2026

Synthetic Sandbox for Training Machine Learning Engineering Agents.

Yuhang Zhou, Lizhu Zhang, Yifan Wu, Jiayi Liu, Xiangjun Fan, Zhuokai Zhao, Hong Yan

CoRR, April, 2026

GISTBench: Evaluating LLM User Understanding via Evidence-Based Interest Verification.

Iordanis Fostiropoulos, Muhammad Rafay Azhar, Abdalaziz Sawwan, Boyu Fang, Yuchen Liu, Jiayi Liu, Hanchao Yu, Qi Guo, Jianyu Wang, Fei Liu, Xiangjun Fan

CoRR, March, 2026

LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems.

Yuhang Zhou, Zhuokai Zhao, Ke Li, Spilios Evmorfos, Gökalp Demirci, Mingyi Wang, Qiao Liu, Qifei Wang, Serena Li, Weiwei Li, Tingting Wang, Mingze Gao, Gedi Zhou, Abhishek Kumar, Xiangjun Fan, Lizhu Zhang, Jiayi Liu

CoRR, March, 2026

TARo: Token-level Adaptive Routing for LLM Test-time Alignment.

Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang

CoRR, March, 2026

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning.

Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong

CoRR, March, 2026

DREAM: Where Visual Understanding Meets Text-to-Image Generation.

Chao Li, Tianhong Li, Sai Vidyaranya Nuthalapati, Hong-You Chen, Satya Narayan Shukla, Yonghuan Yang, Jun Xiao, Xiangjun Fan, Aashu Singh, Dina Katabi, Shlok Kumar Mishra

CoRR, March, 2026

Reason to Contrast: A Cascaded Multimodal Retrieval Framework.

Xuanming Cui, Hong-You Chen, Hao Yu, Hao Yuan, Zihao Wang, Shlok Kumar Mishra, Hanchao Yu, Yonghuan Yang, Jun Xiao, Ser-Nam Lim, Jianpeng Cheng, Qi Guo, Xiangjun Fan

CoRR, February, 2026

Xray-Visual Models: Scaling Vision models on Industry Scale Data.

Shlok Mishra, Tsung-Yu Lin, Linda Wang, Hongli Xu, Yimin Liu, Michael Hsu, Chaitanya Ahuja, Hao Yuan, Jianpeng Cheng, Hong-you Chen, Haoyuan Xu, Chao Li, Abhijeet Awasthi, Jihye Moon, Don Husa, Michael Ge, Sumedha Singla, Arkabandhu Chowdhury, Phong Dingh, Satya Narayan Shukla, Yonghuan Yang, David Jacobs, Qi Guo, Jun Xiao, Xiangjun Fan, Aashu Singh

CoRR, February, 2026

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System.

Jiang Zhang, Yubo Wang, Wei Chang, Lu Han, Xingying Cheng, Feng Zhang, Min Li, Songhao Jiang, Wei Zheng, Harry Tran, Zhen Wang, Lei Chen, Yueming Wang, Benyu Zhang, Xiangjun Fan, Bi Xue, Qifan Wang

CoRR, February, 2026

Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation.

Benyu Zhang, Qiang Zhang, Jianpeng Cheng, Hong-You Chen, Qifei Wang, Wei Sun, Shen Li, Jia Li, Jiahao Wu, Xiangjun Fan, Hong Yan

CoRR, February, 2026

EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization.

Kevin Han, Yuhang Zhou, Mingze Gao, Gedi Zhou, Serena Li, Abhishek Kumar, Xiangjun Fan, Weiwei Li, Lizhu Zhang

CoRR, February, 2026

Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding.

Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng

Proceedings of the ACM Web Conference 2026, 2026

RankID: A Unified Semantic ID Learned through Multi-Stage Semantic Alignment of Multimodal Features.

Jiangfan Zhang, Yinglong Xia, Jiang Li, Chen Yuan, Yonghuan Yang, Jun Xiao, Xiangjun Fan

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding.

Yuhang Zhou, Mingrui Zhang, Ke Li, Mingyi Wang, Qiao Liu, Qifei Wang, Jiayi Liu, Fei Liu, Serena Li, Weiwei Li, Mingze Gao, Abhishek Kumar, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang

CoRR, October, 2025

Think Then Embed: Generative Context Improves Multimodal Embedding.

Xuanming Cui, Jianpeng Cheng, Hong-you Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Kumar Mishra, Yonghuan Yang, Jun Xiao, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan

CoRR, October, 2025

Exploring System 1 and 2 communication for latent reasoning in LLMs.

Julian Coda-Forno, Zhuokai Zhao, Qiang Zhang, Dipesh Tamboli, Weiwei Li, Xiangjun Fan, Lizhu Zhang, Eric Schulz, Hsiao-Ping Tseng

CoRR, October, 2025

RecoWorld: Building Simulated Environments for Agentic Recommender Systems.

Fei Liu, Xinyu Lin, Hanchao Yu, Mingyuan Wu, Jianyu Wang, Qiang Zhang, Zhuokai Zhao, Yinglong Xia, Yao Zhang, Weiwei Li, Mingze Gao, Qifan Wang, Lizhu Zhang, Benyu Zhang, Xiangjun Fan

CoRR, September, 2025

GEM: Empowering LLM for both Embedding Generation and Language Understanding.

Caojin Zhang, Qiang Zhang, Ke Li, Sai Vidyaranya Nuthalapati, Benyu Zhang, Jason Liu, Serena Li, Lizhu Zhang, Xiangjun Fan

CoRR, June, 2025

S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning.

Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Gilbert Jiang, Qiang Zhang, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Benyu Zhang

CoRR, April, 2025

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.

Chaoqi Wang, Zhuokai Zhao, Yibo Jiang, Zhaorun Chen, Chen Zhu, Yuxin Chen, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hao Ma, Sinong Wang

CoRR, January, 2025

Quantifying Generalization Complexity for Large Language Models.

Zhenting Qi, Hongyin Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Himabindu Lakkaraju, James R. Glass

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Sequential Recommendation for Long Term User Interest Via Personalization.

Qiang Zhang, Hanchao Yu, Ivan Ji, Chen Yuan, Yi Zhang, Chihuang Liu, Xiaolong Wang, Christopher E. Lambert, Ren Chen, Chen Kovacs, Xinzhu Bei, Renqin Cai, Rui Li, Lizhu Zhang, Xiangjun Fan, Qunshu Zhang, Benyu Zhang

Proceedings of the IEEE International Conference on Data Mining, 2025

CAFE: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning.

Hao Yu, Zhuokai Zhao, Shen Yan, Lukasz Korycki, Jianyu Wang, Baosheng He, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hanchao Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2023

HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption.

Bohan Zhai, Shijia Yang, Xiangchen Zhao, Chenfeng Xu, Sheng Shen, Dongdi Zhao, Kurt Keutzer, Manling Li, Tan Yan, Xiangjun Fan

CoRR, 2023

2021

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations.

Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations.

Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu

CoRR, 2020