| 2026 | AAAI | Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval. | Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao |
| 2026 | AAAI | Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression. | Zhewei Zhi, Yingyi Zhang, Yizhen Jing, Xianneng Li, Jianing Liu, Huajie Liu, Yongliang Ding |
| 2025 | COLING | UCTG: A Unified Controllable Text Generation Framework for Query Auto-Completion. | Zhipeng Li, Shuang Zheng, Jiaping Xiao, Xianneng Li, Lei Wang |
| 2025 | KDD | LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. | Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao |
| 2025 | SMC | A Hybrid A*D3QN Framework with Prior Knowledge and Multimodal Data Fusion for USV Path Planning. | Huanxin Peng, Dequan Yang, Xianneng Li, Deqiang Hu, Yang Yu, Zhongzhao Zhang |
| 2025 | WWW | CuSMer: Multimodal Intent Recognition in Customer Service via Data Augment and LLM Merge. | Zhipeng Li, Binglin Wu, Yingyi Zhang, Xianneng Li, Kai Li, Weizhi Chen |
| 2024 | ICIS | Recommending What to Search: Sales Volume and Consumption Diversity Effects of a Query Recommender System. | Shuang Zheng, Jack Tong, Hyeokkoo Eric Kwon, Gordon Burtch, Xianneng Li |
| 2024 | IJCNN | House Layout Generation via Diffusion Model with Relative Room Area Ranking. | Junbin Xiang, Boyu Hou, Xuefeng Chen, Hongtuo Qi, Liang Feng, Jiepeng Liu, Xianneng Li |
| 2023 | CEC | A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control. | Zheng Guo, Zhaoping Yu, Wenbin Pei, Chuan Wang, Yaqing Hou, Chenchen Zhang, Zexuan Zhu, Xianneng Li |
| 2023 | ICIS | Peer Priming? A Large-Scale Field Experiment Studying the Impact of Popular Rankings on Demand in Mobile Retail. | Shuang Zheng, Jack Tong, Sihan Fang, Anand Gopal, Xianneng Li, Qiancheng Jiang |
| 2023 | RecSys | M3REC: A Meta-based Multi-scenario Multi-task Recommendation Framework. | Zerong Lan, Yingyi Zhang, Xianneng Li |
| 2023 | WWW | Meta-Generator Enhanced Multi-Domain Recommendation. | Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu, Han Liu |
| 2022 | CIKM | Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction. | Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu |
| 2020 | CEC | Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation. | Mingyang Sun, Yaqing Hou, Qiang Zhang, Hong-Wei Ge, Xin Yang, Feng Liang, Abhishek Gupta, Xianneng Li |
| 2018 | SMC | Analysis of Population Size in Artificial Bee Colony Algorithm. | Xianneng Li, Meihua Yang, Huiyan Yang, Shizhe Wu, Guangfei Yang, Min Han, Shunshoku Kanae |
| 2017 | CEC | Accelerating artificial bee colony algorithm with neighborhood search. | Xianneng Li, Huiyan Yang, Meihua Yang, Xian Yang, Guangfei Yang |
| 2016 | CEC | Search experience-based search adaptation in artificial bee colony algorithm. | Xianneng Li, Guangfei Yang, Mustafa Servet Kiran |
| 2016 | GECCO | Transferable XCS. | Xianneng Li, Guangfei Yang |
| 2014 | CEC | Creating stock trading rules using graph-based estimation of distribution algorithm. | Xianneng Li, Wen He, Kotaro Hirasawa |
| 2014 | CEC | Learning and evolution of genetic network programming with knowledge transfer. | Xianneng Li, Wen He, Kotaro Hirasawa |
| 2014 | CEC | Generalized classifier system: Evolving classifiers with cyclic conditions. | Xianneng Li, Wen He, Kotaro Hirasawa |
| 2014 | CEC | Adaptive Genetic Network Programming. | Xianneng Li, Wen He, Kotaro Hirasawa |
| 2014 | ISDA | Evolving directed graphs with artificial bee colony algorithm. | Xianneng Li, Guangfei Yang, Kotaro Hirasawa |
| 2013 | GECCO | Extended rule-based genetic network programming. | Xianneng Li, Kotaro Hirasawa |
| 2013 | ICONIP | Genetic Network Programming with Simplified Genetic Operators. | Xianneng Li, Wen He, Kotaro Hirasawa |
| 2013 | SMC | A Learning Classifier System Based on Genetic Network Programming. | Xianneng Li, Kotaro Hirasawa |
| 2012 | CEC | A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning. | Xianneng Li, Bing Li, Shingo Mabu, Kotaro Hirasawa |
| 2012 | CEC | Towards automatic discovery and reuse of subroutines in Variable Size Genetic Network Programming. | Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa |
| 2011 | CEC | A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning. | Xianneng Li, Bing Li, Shingo Mabu, Kotaro Hirasawa |
| 2011 | CEC | Variable Size Genetic Network Programming with Binomial Distribution. | Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa |
| 2011 | GECCO | Use of infeasible individuals in probabilistic model building genetic network programming. | Xianneng Li, Shingo Mabu, Kotaro Hirasawa |
| 2010 | CEC | Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction. | Xianneng Li, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, Kotaro Hirasawa |
| 2010 | CEC | Generalized rule extraction and traffic prediction in the optimal route search. | Huiyu Zhou, Shingo Mabu, Xianneng Li, Kaoru Shimada, Kotaro Hirasawa |
| 2010 | SMC | Optimal route planning with restrictions for car navigation systems. | Manoj Kanta Mainali, Shingo Mabu, Xianneng Li, Kotaro Hirasawa |