Xiang Li

According to our database, Xiang Li authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising.

Pengyue Jia, Hailan Yang, Shuchang Liu, Xiaobei Wang, Wanyu Wang, Xiang Li, Yongqi Liu, Kaiqiao Zhan, Kun Gai, Xiangyu Zhao

CoRR, May, 2026

FlashEvaluator: Expanding Search Space with Parallel Evaluation.

Chao Feng, Yuanhao Pu, Chenghao Zhang, Shanqi Liu, Shuchang Liu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

SOLAR: SVD-Optimized Lifelong Attention for Recommendation.

Chenghao Zhang, Chao Feng, Yuanhao Pu, Xunyong Yang, Wenhui Yu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

2025

GoalRank: Group-Relative Optimization for a Large Ranking Model.

Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai

CoRR, September, 2025

Denoising Neural Reranker for Recommender Systems.

Wenyu Mao, Shuchang Liu, Hailan Yang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang

CoRR, September, 2025

From Generation to Consumption: Personalized List Value Estimation for Re-ranking.

Kaike Zhang, Xiaobei Wang, Xiaoyu Yang, Shuchang Liu, Hailan Yang, Xiang Li, Fei Sun, Qi Cao

CoRR, August, 2025

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation.

Qing Yu, Xiaobei Wang, Shuchang Liu, Yandong Bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, Hailan Yang, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou

CoRR, May, 2025

Explicit Uncertainty Modeling for Video Watch Time Prediction.

Shanshan Wu, Shuchang Liu, Shuai Zhang, Xiaoyu Yang, Xiang Li, Lantao Hu, Han Li

CoRR, April, 2025

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation.

Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lanatao Hu

CoRR, January, 2025

Value Function Decomposition in Markov Recommendation Process.

Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie

Proceedings of the ACM on Web Conference 2025, 2025

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation.

Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lantao Hu

Proceedings of the ACM on Web Conference 2025, 2025

Comprehensive List Generation for Multi-Generator Reranking.

Hailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation.

Qing Yu, Xiaobei Wang, Shuchang Liu, Yandong Bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, Hailan Yang, Bin Wen, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation.

Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree.

Xiang Li, Zhiyi Yin, Hexiang Tan, Shaoling Jing, Du Su, Yi Cheng, Huawei Shen, Fei Sun

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Individualized Value Discovery using LLMs for Short Video Recommendation.

Kejun Chen, Shuchang Liu, Jiayin Zhang, Zhitao Yin, Yandong Bai, Xin Li, Sean Xin Xu, Qing Yu, Xiang Li

Proceedings of the 46th International Conference on Information Systems, 2025

2023

TBIN: Modeling Long Textual Behavior Data for CTR Prediction.

Shuwei Chen, Xiang Li, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang

CoRR, 2023

Context-Aware Modeling via Simulated Exposure Page for CTR Prediction.

Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Decision-Making Context Interaction Network for Click-Through Rate Prediction.

Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models.

Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu

CoRR, 2022

2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.

Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Learning Tree-based Deep Model for Recommender Systems.

Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018