Siqi Chen
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信息科学与工程学院大数据与人工智能系主任,全面负责数据科学与大数据技术、人工智能两个本科专业的学科规划与建设工作。

核心研究方向聚焦人工智能前沿领域,主要涵盖多智能体系统、生物信息计算、智慧交通与大模型行业应用。

具备丰富的国际学术组织与服务经验,牵头承办DAI 2022等国际学术会议,长期担任 AAAI、AAMAS、PRICAI 等国际顶级人工智能会议程序委员会委员,同时担任SCI期刊Electronics客座编辑、《无线电通讯与技术》期刊编委。

学术成果与科研项目方面,已在IJCAI、AAMAS、UAI、ECAI 等CCF A/B类国际人工智能顶级会议,及中科院TOP级SCI期刊累计发表学术论文 20 余篇;主持/参与国家自然科学基金项目、省部级重点及重大科研项目多项,以及航天二院、航天四院、蚂蚁集团等单位的研发课题。

研究成果获得多项国际权威认可,先后斩获环太平洋人工智能联合会议(PRICAI)优秀论文奖、德国多智能体技术会议(MATES)最佳论文奖、德国人工智能会议(KI)最佳论文奖;多次夺得全球自动协商智能体大赛(ANAC)冠、亚军,在国际智能体与人工智能领域形成了显著的学术影响力。


教育经历:

  • 本科毕业于电子科技大学计算机科学与工程学院;

  • 硕士、博士毕业于Department of Knowledge Engineering,Maastricht University;

  • 在Maastricht University进行为期一年的博士后工作。


科研工作:

部分论文成果:

  • Building automated negotiating agent with offline-to-online deep reinforcement learning. Appl. Soft Comput. 2026. (SCI,top期刊,IF=6.9)

  • DCMF-PPI: a protein-protein interaction predictor based on dynamic condition and multi-feature fusion. BMC Bioinformatics. 2025. (SCI期刊,IF=3.5)

  • Enhancing Agent-Based Negotiation Strategies via Transfer Learning.Electronics. 2025. (Invited paper,SCI期刊,IF=2.6

  • MFA-DTI : Drug-target interaction prediction based on multi-feature fusion adopted framework. Methods. 2024. (SCI期刊,IF=4.8)

  • PEA-m6A: an ensemble learning framework for accurately predicting N6-methyladenosine modifications in plants. Plant Physiology. 2024.(SCI,top期刊,IF=7.4)

  • ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning. AAMAS 2024(人工智能国际顶级会议,CCF-B会议).

  • An effective negotiating agent framework based on deep offline reinforcement learning. UAI 2023 (人工智能国际顶级会,CCF-B会议).

  • Transfer Learning based Agent for Automated Negotiation. AAMAS 2023(人工智能国际顶级会议,CCF-B会议).

  • DNN-PNN: A parallel deep neural network model to improve anticancer drug sensitivity. Methods. 2023. (SCI期刊,IF=4.8)

  • Transfer Reinforcement Learning Based Negotiating Agent Framework. PAKDD 2023 (CCF-C国际会议).

  • A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data.PLoS Computational Biology. 2022. (SCI,top期刊,IF=4.3)

  • An autonomous agent for negotiation with multiple communication channels using parametrized deep q-network. Mathematical Biosciences and Engineering. 2022. (SCI期刊,IF=2.6)

  • An Adaptive Negotiation Dialogue Agent with Efficient Detection and Optimal Response. DAI 2022 (CCF-C国际会议).

  • An Intelligent Chatbot for Negotiation Dialogues. UIC 2022 (CCF-C国际会议).

  • Detecting and Learning Against Unknown Opponents for Automated Negotiations. PRICAI 2021(CCF-C国际会议,Best paper runner-up award)



 




  • Education Background
  • Work Experience
  • Maastricht University
  • 博士研究生毕业
  • 博士学位

  • 电子科技大学
  • 大学本科毕业
  • 学士学位

  • Social Affiliations
  • Research Focus
  • AAAI, AAMAS, PRICAI 等国际重要人工智能会议程序委员会委员(PC member)

Personal information

Supervisor of Master's Candidates

Gender : Male

Alma Mater : Maastricht University

Education Level : 博士研究生毕业

Degree : 博士学位

Status : Job

School/Department : 信息科学与工程学院

Discipline : engineering 信息与计算科学

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