Xiang Li - RankMe

24 papers A* 7C 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlashEvaluator: Expanding Search Space with Parallel Evaluation. CoRR Chao Feng, Yuanhao Pu, Chenghao Zhang, Shanqi Liu, Shuchang Liu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai
2026	J	`jnl`	SOLAR: SVD-Optimized Lifelong Attention for Recommendation. CoRR Chenghao Zhang, Chao Feng, Yuanhao Pu, Xunyong Yang, Wenhui Yu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai
2025	A*	`conf`	Comprehensive List Generation for Multi-Generator Reranking. SIGIR Hailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai
2025	J	`jnl`	Comprehensive List Generation for Multi-Generator Reranking. CoRR Hailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai
2025	J	`jnl`	Denoising Neural Reranker for Recommender Systems. CoRR Wenyu Mao, Shuchang Liu, Hailan Yang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang
2025	A*	`conf`	Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation. WWW Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lantao Hu
2025	J	`jnl`	Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation. CoRR Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lanatao Hu
2025	J	`jnl`	Explicit Uncertainty Modeling for Video Watch Time Prediction. CoRR Shanshan Wu, Shuchang Liu, Shuai Zhang, Xiaoyu Yang, Xiang Li, Lantao Hu, Han Li
2025	J	`jnl`	Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation. CoRR Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang
2025	J	`jnl`	From Generation to Consumption: Personalized List Value Estimation for Re-ranking. CoRR Kaike Zhang, Xiaobei Wang, Xiaoyu Yang, Shuchang Liu, Hailan Yang, Xiang Li, Fei Sun, Qi Cao
2025	J	`jnl`	GoalRank: Group-Relative Optimization for a Large Ranking Model. CoRR Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai
2025	C	`conf`	Individualized Value Discovery using LLMs for Short Video Recommendation. ICIS Kejun Chen, Shuchang Liu, Jiayin Zhang, Zhitao Yin, Yandong Bai, Xin Li, Sean Xin Xu, Qing Yu, Xiang Li
2025	—	`conf`	PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree. NAACL (Findings) Xiang Li, Zhiyi Yin, Hexiang Tan, Shaoling Jing, Du Su, Yi Cheng, Huawei Shen, Fei Sun
2025	A*	`conf`	Value Function Decomposition in Markov Recommendation Process. WWW Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie
2025	J	`jnl`	Value Function Decomposition in Markov Recommendation Process. CoRR Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie
2025	J	`jnl`	Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation. CoRR 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
2023	A*	`conf`	Context-Aware Modeling via Simulated Exposure Page for CTR Prediction. SIGIR Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
2023	A*	`conf`	Decision-Making Context Interaction Network for Click-Through Rate Prediction. AAAI Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
2023	J	`jnl`	Decision-Making Context Interaction Network for Click-Through Rate Prediction. CoRR Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
2023	J	`jnl`	TBIN: Modeling Long Textual Behavior Data for CTR Prediction. CoRR Shuwei Chen, Xiang Li, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang
2022	J	`jnl`	WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. CoRR Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu
2019	A*	`conf`	Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. NeurIPS Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
2019	J	`jnl`	Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. CoRR Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
2018	A*	`conf`	Learning Tree-based Deep Model for Recommender Systems. KDD Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai