Professor Wang Jin Jun 

Selectee of Young Thousand Talents Plan, Professor of Xian Jiaotong University 

Professor Wang Jin-Jun has been selected for the National High-Level Talent Program. He serves as a professor at Xi’an Jiaotong University, a member of the expert group for the National Key R&D Program guidelines, and an associate editor of IEEE TIV. In recent years, his research has focused on vision-language large models, agent architectures, multi-object tracking in complex scenarios, cross-scene object re-identification, and knowledge graphs. He has published more than 200 papers in top international journals and conferences, with over 15,000 citations, more than 2,500 single-paper citations, and an h-index of 38. From 2021 to 2025, he was continuously listed as an Elsevier Highly Cited Chinese Scholar. He holds 10 authorized Chinese patents and 14 U.S. patents, and as a key team member, he won world championships in influential international AI competitions such as TRECVID and PASCAL VOC. 

As a distinguished scholar in artificial intelligence, computer vision, and machine learning, Professor Wang has developed technologies with independent intellectual property rights, including single-camera multi-object tracking, cross-camera object re-identification, an edge AI computing platform based on embedded AI acceleration chips, and a parallel AI computing platform for large-scale cloud deployment. These intellectual properties form a relatively complete AI technology chain—from perception-level multi-object tracking and re-identification, to cognition-level multimodal large models, and finally to cloud-edge collaborative deployment at the computing platform level—achieving multiple breakthroughs. 

王進軍教授 

「國家高層次人才計劃」入選者  、西安交通大學教授 

王進軍教授入選國家高層次人才計劃，擔任西安交通大學教授、國家重點研發計劃專項指南專家組成員、IEEE TIV 责任编辑等。近年來主要關注視覺語言大模型、智能體架構、複雜場景多目標追蹤、跨場景目標重識別、知識圖譜等研究。在國際頂級學術期刊和會議上發表論文200餘篇，被他引超過15,000次，論文單引超過2,500次，h-index 38。2021年至2025年連續入選愛思唯爾高被引中國學者，獲授權中國專利10項、美國專利14項，作為主要成員獲得 TRECVID 和 PASCAL VOC 等人工智慧領域最具影響力國際比賽的世界冠軍。 

王進軍教授作為人工智能、計算機視覺和機器學習領域的優秀學者，打造了具有獨立核心知識產權的單攝像機多目標追蹤技術、跨攝像機目標重識別技術，以及基於嵌入式 AI 加速計算晶片的邊緣計算 AI 平台和面向大規模雲平台的 AI 並行計算平台等一系列技術、平台和產品。這些知識產權形成了從感知層的多目標追蹤與重識別，到認知層的多模態大模型，再到底層算力平台端雲協同部署的較為完整的 AI 技術鏈條，實現了多點突破。