王士进

王士进

电话：18600962116

E-mail：sjwang3@iflytek.com

主要研究方向：智能语音、自然语言处理、大模型

个人简介：

王士进，博士，正高级工程师，科大讯飞股份有限公司副总裁、研究院执行院长，认知智能全国重点实验室副主任，并担任中央电教馆人工智能教育专家组专家，新一代人工智能产业技术创新战略联盟专委会委员，中国人工智能学会教育工作委员会常务委员。2003年本科毕业于中国科学技术大学少年班，2008年博士毕业于中国科学院自动化研究所。十余年专注认知智能方向的技术创新及在教育行业的关键技术研究和产业落地，建立并领导超500人的认知智能研究团队，带领团队在机器阅读理解、常识推理等方向取得多项重要突破，获得领域相关国际权威评测冠军30余项；在智慧教育领域实现从口语智能评测，到全科纸笔阅卷，再到个性化学习的持续技术创新和成果转化。自2023年12月起主导“1+N”星火认知大模型攻关，带领团队突破多语言认知、知识融合推理、开放域多轮对话等关键技术，研发了业内首个基于全国产算力训练的千亿级通用认知大模型，整体效果达到国内领先水平，对标ChatGPT实现中文超越，英文相当，已在教育、司法等多个行业深度应用。主持国家重点研发计划、长三角科技创新共同体联合攻关项目、中国科学院攻坚科技专项等多项国家和省部级重大项目，发表高水平论文90余篇，授权发明专利30余项，获得国际权威评测冠军20余项，获得安徽省科技进步一等奖、安徽省自然科学奖二等奖、吴文俊人工智能科学技术奖一等奖等科技奖励，被授予中国青年五四奖章集体、中国计算机学会杰出会员等重要荣誉，2023年获得中国科协求是杰出青年成果转化奖，2024年入选安徽省江淮英才创新人才培养计划杰出项目。

获奖情况：

2024年，入选安徽省江淮英才创新人才培养计划杰出项目

2023年，获安徽省自然科学奖二等奖

2020年，获中国人工智能学会吴文俊人工智能科技进步奖一等奖

2023年，获中国科协求是杰出青年成果转化奖

2020年，获中国青年五四奖章集体

2018年，获安徽省科学技术奖一等奖

主要论著：

[1]     王士进，吴金泽，张浩天，沙晶，黄振亚，刘淇, 可信的端到端深度学生知识画像建模方法, 计算机研究与发展, 2023-08, 60(8)

[2]     王士进，巩捷甫，汪意发，宋巍，陈志刚，魏思, 基于要点匹配的文科主观题通用评分, 中文信息学报, 2023-06, 37(6)

[3]     王士进，汪成成，张丹，魏思，王渊, 基于多模态语义分析的试题推荐方法, 中文信息学报, 2023-06, 37(6)

[4]     Shijin Wang, Yuguang Wang, Jianfeng Li, Yiming Cui, Lirong Dai, The USTC Machine Translation System for IWSLT2014, IWSLT 2014, 2014-12

[5]     王士进,李宏言,柯登峰,李鹏,高鹏,徐波, 面向第二语言学习的口语大规模智能评估技术研究, 中文信息学报, 2011-11, 25(6)

[6]     王士进，梁加恩，徐波, 基于NN-HMM模型和语种无关PRLM的自动语种识别, NCMMSC 2009, 2009-08

[7]     王士进，孟猛，梁家恩，徐波, 基于Multilingual的音素识别及其在语种识别中的应用, 清华大学学报(自然科学版), 2008-04

[8]     王士进，郑榕，徐波, 基于词图的音素识别及在语种识别中的应用, 中文信息学报, 2008-03

[9]     杨子清,崔一鸣,姚鑫,王士进, Gradient-based Intra-attention Pruning on Pre-trained Language Models, ACL 2023, 2023-07

[10]  徐梓航,杨子清,崔一鸣,王士进, IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning, ACL 2023, 2023-07, Findings

[11]  Baoxin Wang, Ziyue Wang, Wanxiang Che, Dayong Wu, Rui Zhang, Bo Wang, Shijin Wang, TiBERT: A Non-autoregressive Pre-training Model for Text Editing, NLPCC 2023

[12]  Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang, Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis, SIGIR 2023

[13]  Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, and Shijin Wang, Exploiting Non-Interactive Exercises in Cognitive Diagnosis, IJCAI 2023

[14]  Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang, Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective, IEEE Transactions on Learning Technologies, 2023-06, 16(3)

[15]  Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang, Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training, AAAI 2023, 2023-06

[16]  Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu, BETA-CD: A Bayesian Meta-learned COgnitive Diagnosis Framework for Personalized Learning, AAAI 2023, 2023-06, 37(4)

[17]  胡国平，陈志刚，王士进，刘权，李鑫, 以解决社会刚需为导向型认知智能系统的技术挑战、路线及机会, 中国人工智能学会通讯, 2023-01

[18]  Qingye Meng，Ziyue Wang，Hang Chen， Xianzhen Luo，Baoxin Wang，Zhipeng Chen，Yiming Cui，Dayong Wu，Zhigang Chen，Shijin Wang, Augmented and Challenging Datasets with Multi-step Reasoning and Multi-span Questions for Chinese Judicial Reading Comprehension, AI Open, 2022-12

[19]  Weitai Zhang , Lirong Dai , Xinyuan Zhou , Junhua Liu , Shijin Wang , Cong Liu, Effective Online Data Augmentation for Massively Multilingual Machine Translation and Zero-Shot Translation, ICASSP 2022, 2022-10

[20]  Weitai Zhang , Lirong Dai , Junhua Liu , Shijin Wang , Cong Liu, Effective Parallel Corpus Mining Framework for Low-Resource Language Pairs, ICASSP 2022, 2022-10

[21]  Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie, Graph-based cognitive diagnosis for intelligenttutoring systems, Knowledge-Based Systems, 2022-10

[22]  李萍，张勇健，陈略韬，王士进，王亚飞, 数据循证支持的高中教育质量发展性评价：基本内涵、模型构建与实践探索, 现代教育技术, 2022-08, 32(8)

[23]  Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Jirong Wen, JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding, KDD 2022, 2022-08

[24]  Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang, HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework, KDD 2022, 2022-08

[25]  Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su, NeuralCD: A General Framework for Cognitive Diagnosis, IEEE Transactions on Knowledge and Data Engineering, 2022-08

[26]  Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang, A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval, SIGIR 2022, 2022-07

[27]  Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen, Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect, SIGIR 2022, 2022-07

[28]  Yiming Cui, Weinan Zhang, Wanxiang Che, Ting Liu, Zhigang Chen, Shijin Wang, Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models, iScience, 2022-05, 25(5)

[29]  Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang, Teaching Machines to Read, Answer and Explain, TASLP, 2022-05, 30

[30]  魏思,巩捷甫,宋巍,宋子尧,王士进, 利用深层语言分析改进中文作文自动评分方法, 中文信息学报, 2022-04, 36(4)

[31]  魏思，沈双宏，黄振亚，刘淇，陈恩红，苏喻，王士进, 融合通用题目表征学习的神经知识追踪方法研究, 中文信息学报, 2022-04, 36(4)

[32]  Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang, ExpMRC: Explainability Evaluation for Machine Reading Comprehension, Heliyon, 2022-04, 8(4)

[33]  Yue Ding, Yinxue Chu, Meng Liu, Zhenhua Ling, Shijin Wang, Xin Li, Yunxia Li, Fully automated discrimination of Alzheimer's disease using resting-state electroencephalography signals, Quantitative Imaging in Medicine and Surgery, 2022-02, 12(2)

[34]  Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin,Shijin Wang, Guoping Hu, Interactive Gated Decoder for Machine Reading Comprehension, ACM Transactions on Asian and Low-Resource Language Information Processing, 2022-01, 21(4)

[35]  Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang, Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective, ICDM 2021, 2021-12

[36]  Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang, STAN: Adversarial Network for Cross-domain Question Difficulty Prediction, ICDM 2021, 2021-12

[37]  Beichen Wang, Ziyue Wang, Baoxin Wang, Dayong Wu, Zhigang Chen, Shijin Wang, Guoping Hu, Various Legal Factors Extraction Based on Machine Reading Comprehension, CCIR 2021, 2021-10

[38]  Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang, Learning Process-consistent Knowledge Tracing, KDD 2021, 2021-08

[39]  Jiefu Gong, Xiao Hu, Wei Song, Ruiji Fu, Zhichao Sheng, Bo Zhu, Shijin Wang, Ting Liu, IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation, ACL 2021, 2021-08

[40]  Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu, Dynamic Connected Networks for Chinese Spelling Check, ACL-IJCNLP 2021, 2021-08

[41]  Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang, Benchmarking Robustness of Machine Reading Comprehension Models, ACL-IJCNLP 2021, 2021-08

[42]  Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu, Adversarial Training for Machine Reading Comprehension with Virtual Embeddings, SEM 2021, 2021-08

[43]  陈恩红，刘淇，王士进，黄振亚，苏喻，丁鹏，马建辉，竺博, 面向智能教育的自适应学习关键技术与应用, 智能系统学报, 2021-07, 16(5)

[44]  Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Muchun Wang, Jianhui Ma, Shijin Wang, Yu Su, RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems, SIGIR 2021, 2021-07

[45]  Ziqing Yang, Wentao Ma, Yiming Cui, Jiani Ye, Wanxiang Che, Shijin Wang., Bilingual Alignment Pre-training for Zero-shot Cross-lingual Transfer, MRQA 2021, 2021-06

[46]  Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang, HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem, AAAI 2021, 2021-05, 35(5)

[47]  Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang, Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing, Knowledge-Based Systems, 2021-04, 218

[48]  Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang, Federated Deep Knowledge Tracing, WSDM 2021, 2021-03

[49]  Zhiqiang Guo, Zhaoci Liu, Zhenhua Ling, Shijin Wang, Lingjing Jin, Yunxia Li:, Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection, COLING 2020, 2020-12

[50]  Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu, CharBERT: Character-aware Pre-trained Language Model, COLING 2020, 2020-12

[51]  Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu, A Sentence Cloze Dataset for Chinese Machine Reading Comprehension, COLING 2020, 2020-12

[52]  Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang, Structure-based Knowledge Tracing: An Influence Propagation View, ICDM 2020, 2020-11

[53]  Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu, Revisiting Pre-Trained Models for Chinese Natural Language Processing, EMNLP 2020, 2020-11

[54]  Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang, Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing, ICDM 2020, 2020-11

[55]  Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu, Is Graph Structure Necessary for Multi-hop Question Answering?, EMNLP 2020, 2020-11

[56]  Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu, TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing, ACL 2020, 2020-07

[57]  Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang, Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process, SIGIR 2020, 2020-07

[58]  Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu, Conversational Word Embedding for Retrieval-based Dialog System, ACL 2020, 2020-07

[59]  Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang, Neural Cognitive Diagnosis for Intelligent Education Systems, AAAI 2020, 2020-04, 34(4)

[60]  Yiming Cui, Wanxiang Che, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu, Discriminative Sentence Modeling for Story Ending Prediction, AAAI 2020, 2020-04, 34(5)

[61]  Feiyang Xu, Yue Ding, Zhenhua Ling, Xin Li, Yunxia Li, Shijin Wang, DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening, ICDE 2020, 2020-04

[62]  Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu, TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots, CoNLL 2019, 2019-11

[63]  Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu, IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis, EMNLP-IJCNLP 2019, 2019-11

[64]  Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang, Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach, CIKM 2019, 2019-11

[65]  Zhaoci Liu, Zhiqiang Guo, Zhenhua Ling, Shijin Wang, Lingjing Jin, Yunxia Li, Dementia Detection by Analyzing Spontaneous Mandarin Speech, APSIPA 2019, 2019-11

[66]  Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu, Cross-Lingual Machine Reading Comprehension, EMNLP-IJCNLP 2019, 2019-11

[67]  Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang, Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data, ICDM 2019, 2019-11

[68]  Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu, A Span-Extraction Dataset for Chinese Machine Reading Comprehension, EMNLP-IJCNLP 2019, 2019-11

[69]  李萍，王士进，王筱圃，刘俊生, 基于结构化方程模型的学困生认知能力差异研究, 数字教育, 2019-10, 5(5)

[70]  Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu, CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension, CCL 2019, 2019-10