算法专家
DAMO Academy (达摩院)/通义 (Qwen) /阿里云/阿里巴巴集团
IEEE Member, ACM Professional Member, CCF Senior Member
杭州"万人计划"青年拔尖人才
CCF普适计算专委执行委员
Research Interests:Large Language Model, Graph Computing, Reinforcement Learning.
Email(Primary): luozhiling@zju.edu.cn
Email(Alternative): godot.lzl@alibaba-inc.com
Homepage: http://www.bruceluo.net
罗智凌目前是阿里云-飞天实验室(原达摩院机器智能实验室)的一名算法专家, 杭州”万人计划“青年拔尖人才。在加入阿里巴巴集团之前, 我是浙江大学计算机的一名助理教授。我的研究得到了来自国家自然基金和浙江省杭州市政府的支持。
目前我和我的团队在负责和参与 (1) 通义千问系列模型,特别是代码模型和推理模型的研发,代表是Qwencoder和XiYanSQL。Qwencoder是一个通用的代码模型,Xiyan-SQL是一个SQL专用模型,是spider和bird上的SOTA。 (2) 阿里云大语言模型平台-百炼。 (3) 云上大模型的落地, 特别是通义千问的行业定制和企业落地。
在学术活动中,我是IJCAI,AAAI,ACL,EMNLP等会议的PC, IEEE TKDE, TSC, CIM, Neurocomputing的常规审稿人。另外作为计算机学会普适计算专委的执行委员,我致力于面向公众和新入行研究者的培训等公益活动。
NOW: 目前我团队有少量大模型算法工程师岗位,另有实习岗位, 邮件联系。
2025/02: 我们开源了一种数据库的描述生成技术,利用LLM推测数据库的表和列的含义 XiYan-DBDescGen 和技术报告
2025/02: 我们开源了一个RL增强的LLM用于定理证明的模型lean-qwen0.5b-rl和技术报告
2025/01: 我们的论文 CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding 被ICLR2025收录。
2025/01: 我们开源了XiYanSQL-QwenCoder-32B, 一个qwen系列的, 用于SQL生成任务的32B模型, 该模型在Bird上EX=69%,是单模型的SOTA, 欢迎大家使用。
2024/11: 我们开源了SQL大模型中的关键技术, 见Xiyan-SQL, 技术报告, 并提供preview版本的模型供大家体验。
本项目针对NLP领域长期存在的典型任务Text-to-SQL,研究LLM以及其解决方案,以提高此任务上的精度并落地实践。 我们提出了一个半结构化的数据库表达结构[Mschema] , 以及其对应的生成算法, 提高LLM对于DB的理解能力。 我们训练并开源了一个基于qwencoder的32B模型[XiYanSQL-QwenCoder-32B], 支持MySQL, PostgreSQL, SQLite等协议。 我们提出了一种基于TIR的时间日期推理方法[DateResolver],用于推理用户问题中提到的时间. 我们提出了一种数据库描述生成方法[XiYan-DBDescGen] , 用于帮助模型更好的访问和理解数据库,详见技术报告 我们提出了一个多生成器集成学习的到端的LLM解决方案, 截止2025-01-01此方案是Spider, Bird, SQL_EVA等benchmark上的sota。 我们提供了一个完整的ChatBI服务, 析言GBI, 支持使用自然语言做数据分析。 我们在多个汽车领域的龙头集团落地实践, 并得到了官方媒体《新闻联播》的报道。
本项目重点研究LLM的推理能力增强, 以及类O1模型的研发。 我们提出了一种在多跳问答中, LLM的推理路径模式[Furthest Reasoning]
本项目是一个公益项目,用于完善formal theorem proving. 主要的目标包括MatrixCookbook, PrimeNumberTheoremAnd和MiniF2F。
我们提出了一种RL增强的LLM的框架(技术报告),用于训练LLM进行形式化定理证明. 结合形式化定理验证器lean4,能更好的自动完成复杂定理证明,代码模型都开源。虽然是很小的一步,但期待能帮助同行们未来作出伟大的LLM,能完成陶哲轩的素数定理甚至更伟大的黎曼猜想。
本项目研究图片、视频生成相关的多模态算法。 我们提出了一种多任务的视频grounding算法[CIKM2022], 是VidSTG 上的SOTA。 我们提出了一种基于Grpah推理的图片检索算法[SIGIR2022]。 我们自动生产的视频作为淘宝微详情的主要视频, 2022年双十一贡献了1亿GMV。 我们负责多模态内容中台的建设, 用统一的架构, 支持优质的内容生产、管理和发放。我们自动生产的亿级别内容达到了亿级别每日曝光。在手机淘宝, 天猫, 饿了么, 盒马, 天猫精灵, 都有我们的算法应用。自研的模态抽取算法和检索算法均达到SOTA水平。文本生成算法, 视觉检测算法方面达到阿里巴巴集团领先水平;除了算法效果之外还构建有完整的高效内容生产工程化链路, 支持千万级商品的T+1更新, 累计产生的内容超过1亿。我们的算法被用在阿里巴巴十多个部门和业务, 服务百万商家和数千万消费者。
本项目重点研究对话机器人的中的对话以及对模态算法. 我们提出了一种基于图谱的描述生成算法[G2T]。 我们研发的对话机器人(阿里小蜜), 目前是使用量最大的中文客服机器人之一。
本项目研究Graph Learning的若干关键问题 我们提出了一种对于graph classification 的攻击算法[AAAI2020] ,仅引入少量的伪造节点就能极大干扰分类算法的精度。 我们提出了一种基于强化学习的Graph classification算法, [g-inspector],使用有限窗口的移动去估计整个graph的结构。 我们提出了一种graph的卷积神经网络结构, 用于grpah classification, [NgramCNN],是此任务上多个benchmark的sota
Yingqi Gao, Zhiling Luo. (2025)Automatic database description generation for Text-to-SQL. Arxiv, Full paper
Zhiling Luo. (2025)Reinforced Large Language Model is a formal theorem prover Arxiv, Full paper
Yingqi Gao, Yifu Liu, Xiaoxia Li, Xiaorong Shi, Yin Zhu, Yiming Wang, Shiqi Li, Wei Li, Yuntao Hong, Zhiling Luo, Jinyang Gao, Liyu Mou and Yu Li. (2024)XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL Arxiv, Full paper
Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan. (2025)CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding ICLR, Full paper
Yifu Liu, Xiaoxia Li, Zhiling Luo, Wei Zhou. (2023)JCDNet: Joint of Common and Definite phases Network for Weakly SupervisedTemporal Action LocalizationArxiv, Full paper
Yin Zhu, Zhiling Luo, Gong Cheng. (2023)Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-AugmentedLarge Language ModelsArxiv, Full paper
Zhiling Luo, Qiankun Shi, Sha Zhao, Wei Zhou, Haiqing Chen, Yuankai Ma, Haitao Leng.(2022)AliCHI: A Large-scale Multi-modal Dataset and Automated Evaluation Toolfor Human-like Dialogue SystemsArxiv. Full paper
Yingqi Gao, Zhiling Luo, et. al. (2022)End-to-end Multi-task Learning Framework for Spatio-Temporal Grounding in Video Corpus[C] ACM CIKM 2022.
Shiqian Chen, Zhiling Luo, et. al. (2021)Adapted Graph Reasoning and Filtration for Description-Image Retrieval[C] ACM SIGIR 2021.
Sha Zhao, Yizhi Xu, Zhiling Luo, Jianrong Tao, Shijian Li, Changjie Fan, Gang Pan (2021)Player Behavior Modeling for Enhancing Role-Playing Game Engagement[J] IEEE Transactions on Computational Social Systems.
[Best Paper Award] Meng XI,Zhiling Luo, et. al. (2020)A Latent Feelings-aware RNN Model for User Churn Prediction with onlybehavior data[C] IEEE SMDS 2020.
Yunzhou Shi, Zhiling Luo, et. al. (2020)G2T: Generating Fluent Descriptions for Knowledge Graph[C] ACM SIGIR 2020.
Yu Chen, Zhiling Luo, Sha Zhao, Ying Li and Jianwei Yin (2020)Adversarial Attacks on Graphs by Adding Fake Nodes[C] AAAI 2020 (Workshop DLGMA).Full paper
Bo Lin, Wei Luo,Zhiling Luo, Bo Wang, Shuiguang Deng, Jianwei Yin, Mengchu Zhou (2020)Bradykinesia Recognition in Parkinson's Disease via Single RGB Video.[J] ACM Trans. Knowl. Discov. Data (TKDD) 14(2): 16:1-16:19
Zhiling Luo, Yinghua Cui, Sha Zhao, Jianwei Yin. (2020)g-Inspector: Recurrent Attention Model on Graph.[J] IEEE Transactions on Knowledge and Data Engineering (TKDE). 2020.Code,Full paper
Sha Zhao, Feng Xu, Yizhi Xu, Xiaojuan Ma,Zhiling Luo, Shijian Li, Anind Dey, and Gang Pan. (2019)Investigating Smartphone User Differences in Their Application Usage Behaviors:An Empirical Study.[J] CCF Transactions on Pervasive Computing and Interaction, 2019
Sha Zhao, Yizhi Xu, Xiaojuan Ma, Ziwen Jiang,Zhiling Luo, Shijian Li, Laurence T. Yang, Anind Dey, and Gang Pan. (2019)Gender Profiling from a Single Snapshot of Apps Installed on a Smartphone:An Empirical Study.[J] IEEE Transactions on Industrial Informatics, 2019 (IF = 7.377) (JCRSection I).
Sha Zhao, Shijian Li, Julian Ramos,Zhiling Luo, Ziwen Jiang, Anind Dey, and Gang Pan (2019)User Profiling from Their Use of Smartphone Applications: A Survey.[J] Pervasive and Mobile Computing, 2019 .
Sha Zhao,Zhiling Luo, Ziwen Jiang, Haiyan Wang, Feng Xu, Shijian Li, Jianwei Yin, and GangPan. (2018)AppUsage2Vec: Modeling Smartphong App Usage for Prediction.[C] The 35th IEEE International Conference on Data Engineering (ICDE2019).
Zhiling Luo, Ling Liu, Jianwei Yin, Ying Li, Zhaohui Wu (2018).Latent Ability Model: A Generative Probabilistic Learning Framework forWorkforce Analytics[J] IEEE Transactions on Knowledge and Data Engineering(TKDE) (Full paper (pre-print version)).
Sha Zhao, Feng Xu,Zhiling Luo, Shijian Li, and Gang Pan (2018).Demographic Attributes Prediction Through App Usage Behaviors on Smartphones[C] ACM Workshop on The 2018 International Joint Conference on Pervasiveand Ubiquitous Computing(AppLens 2018).
Ying Li, Meng Xi, Yuyu Yin,Zhiling Luo, Honghao Gao, Jianwei Yin (2018).MeCo-TSM: Multi-Entity Complex Process-Oriented Service Modeling Method.[C] 2018 IEEE International Conference on Web Services (ICWS), 82 - 90.
Jianwei Yin, Bangpeng Zheng, Shuiguang Deng, Yingying Wen, Meng Xi,Zhiling Luo, Ying Li (2018).Crossover Service: Deep Convergence for Pattern, Ecosystem, Environment,Quality and Value.[C] 2018 IEEE 38th International Conference on Distributed Computing Systems(ICDCS), 1250 - 1257.
Junxiang Wang, Jianwei Yin, Shuiguang Deng, Ying Li, Calton Pu, Yan Tang,Zhiling Luo(2018).Evaluating User Satisfaction with Typography Designs via Mining TouchInteraction Data in Mobile Reading.[C] ACM SIGCHI 2018Full paper
Shenglin Zhang, Ying Liu, Weibin Meng,Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun (Jim) Xu, Yuzhi Zhang,Yu Chen, Hui Dong, Xianping Qu, Lei Song (2018).PreFix: Switch Failure Prediction in Datacenter Networks.[C] ACM SIGMETRICS 2018Full paper
Zhiling Luo, Ling Liu, Jianwei Yin, Ying Li, Zhaohui Wu (2017).Deep Learning of Graphs with Ngram Convolutional Neural Networks[J] IEEE Transactions on Knowledge and Data Engineering(TKDE) 29, 2125- 2139.Code,Full paper
Sha Zhao, Yifan Zhao,Zhiling Luo, Runhe Huang, Shijian Li, Gang Pan(2017).Characterizing a User from Large-scale Smartphone-sensed Data.[C] UbiComp/ISWC'17.Full paper
Zhiling Luo, Ying Li, Jianwei Yin, Honghao Gao, Yuyu Yin (2017).Service Pattern Evaluation: Studying Profitability from Perspective ofResource.[C] IEEE International Conference on Cognitive Computing.Full paper
Zhiling Luo, Ying Li, Ruisheng Fu, Jianwei Yin (2016).Don't Fire Me, a Kernel Autoregressive Hybrid Model For Optimal LayoffPlan.[C] 2016 IEEE Big Data.Full paper
Ying Li,Zhiling Luo, Binbin Fan, Jianwei Yin (2016).Who is the Most Diligent Employee? A Discriminate Model for e-GovernmentService Time Analyzing.[J] Journal of Industrial Integration and Management 2016 01:01Full paper
Jianwei Yin,Zhiling Luo, Ying Li, Zhaohui Wu (2016).Service Pattern: An Integrated Business Process Model For Modern ServiceIndustry.[J] IEEE Transactions on Services Computing.Code,Tech report,Full paper
Zhiling Luo, Ying Li, Jianwei Yin (2015).A Framework for Transmission Cost Aware Service Selection.[C] 2015 IEEE 22nd International Conference on Web Services (ICWS) 503-510.Code,Data,Full paper
Ying Li,Zhiling Luo, Jianwei Yin, Lida Xu, Yuyu Yin, Zhaohui Wu (2015).Enterprise Pattern: Integrating the business process into a unified enterprisemodel of Modern Service Company.[J]. Enterprise Information Systems, 2015: 1-21.Full paper
Jianwei Yin,Zhiling Luo, Ying Li, Binbin Fan, Weiwei Liu, Zhaohui Wu (2014).Towards a Service Pattern Model Supporting Quantitative Economic Analysis.[C] 2014 IEEE World Congress on Services (SERVICES) 95-102.Full paper
Zhiling Luo, Ying Li, Jianwei Yin (2013).Location: a feature for service selection in the era of big data.[C] 2013 IEEE 20th International Conference on Web Services (ICWS) 515- 522.Full paper
Ying Li,Zhiling Luo, Jianwei Yin. (2013).A location-aware service selection model.[J] International Journal of Services Computing. IEEE International Journalof Services Computing (IJSC) 1, 52-63Full paper