
Yunde JIA, Professor
The dean of the faculty of Engineering at SMBU
The head of the Artificial Intelligence Group
The director of the MI Lab
賈云得 教授、博士生導(dǎo)師
深圳北理工莫斯科大學(xué)工程系主任
人工智能與工程團(tuán)隊(duì)負(fù)責(zé)人
智能感知與計(jì)算實(shí)驗(yàn)室主任
Email:[email protected]; [email protected]
He received the bachelor, master, and PhD from the Beijing Institute of Technology (BIT) in 1983, 1986, and 2000, respectively. He worked as a visiting scholar at the School of Computer Science at Carnegie Mellon University (CMU) in the United States for 2 years. He is an emeritus professor of computer science at BIT. He served as the Executive Dean of the School of Computer Science at BIT, and the director of the Beijing Key Laboratory of Intelligent Information Technology;He also served as a member of the 9th and 10th Expert Group of information science in the NSF of China, as well as a member of the 3rd and 4th Interdisciplinary Expert Group for the National Basic Research Program (973) of China. As the first contributor, he has received the Ministry of Education's Second Prize for Technological Invention, as well as the Second Prize and Third Prize for National Defense Science and Technology, and one Second Prize for Weapon Science and Technology. He has published nearly 200 academic papers in renowned journals and top conferences, and has been granted 10 patents. He has trained over 50 doctoral students and over 100 master's students, among whom four doctoral students won the Doctoral Dissertation Award and Nomination Award of the National level Society, one won the Microsoft Scholar Award, and one won the ACM China SIGAI Doctoral Dissertation Award. In 2022, Professor JIA joined full-time Shenzhen MSU-BIT University (SMBU), formed an intelligent machine perception team. At the same time, he was approved to build the Guangdong Province key laboratory of Machine perception and computing. Research interests: computer vision, computational cognition, intelligent robot and systems.
1983、1986、2000分別獲北京理工大學(xué)(原北京工業(yè)學(xué)院)學(xué)士、碩士和博士學(xué)位。曾在美國(guó)卡內(nèi)基-梅隆大學(xué)(CMU)計(jì)算機(jī)學(xué)院客座研究2年。曾任職北京理工大學(xué)二級(jí)教授、校學(xué)術(shù)委員會(huì)、校學(xué)位委員會(huì)委員、北京市智能信息技術(shù)重點(diǎn)實(shí)驗(yàn)室主任;曾兼任國(guó)家自然科學(xué)基金委員會(huì)第九屆、第十屆信息科學(xué)部專(zhuān)家評(píng)審組成員,國(guó)家“973”計(jì)劃第三屆、第四屆綜合交叉領(lǐng)域咨詢(xún)專(zhuān)家組成員。中國(guó)計(jì)算機(jī)學(xué)會(huì)第八屆理事會(huì)理事,中國(guó)人工智能學(xué)會(huì)第六、第七屆理事會(huì)理事,中國(guó)圖像圖形學(xué)會(huì)第六、第七、第八屆理事會(huì)常務(wù)理事。以第一完成人獲教育部高校技術(shù)發(fā)明二等獎(jiǎng)1 項(xiàng)、國(guó)防科學(xué)技術(shù)二等獎(jiǎng)1 項(xiàng)和三等獎(jiǎng)1 項(xiàng)、 兵器科學(xué)技術(shù)二等獎(jiǎng)1 項(xiàng);在計(jì)算機(jī)學(xué)科領(lǐng)域著名期刊和頂會(huì)上發(fā)表學(xué)術(shù)論文200 篇,獲得國(guó)家發(fā)明授權(quán)專(zhuān)利10項(xiàng);共培養(yǎng)博士45 位、碩士80余 位,其中4 位博士生獲全國(guó)一級(jí)學(xué)會(huì)優(yōu)秀博士學(xué)位論文獎(jiǎng)和提名獎(jiǎng),1 位博士生獲得微軟學(xué)者獎(jiǎng),1位博士獲得ACM中國(guó)SIGAI優(yōu)博論文獎(jiǎng)。2022年賈云得教授全職加盟深圳北理莫斯科大學(xué),組建了智能機(jī)器感知團(tuán)隊(duì),獲得廣東省智能感知與計(jì)算普通高校重點(diǎn)實(shí)驗(yàn)室立項(xiàng)。研究方向:計(jì)算機(jī)視覺(jué)、計(jì)算認(rèn)知、智能機(jī)器人與系統(tǒng)。
Selected papers
1. Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li,Fire: A dataset for feedback integration and refinement evaluation of multimodal models, In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024.
2. Yangkai Xue, Jindou Dai, Zhipeng Lu, Yuwei Wu, Yunde Jia,Residual Hyperbolic Graph Convolution Networks, In Proc. Association for the Advancement of Artificial Intelligence (AAAI) , 2024: 16247-16254
3. Zhi GAO, Yuwei WU, Xiaomeng FAN, Mehrtash Harandi, and Yunde JIA, Learning to Optimize on Riemannian Manifolds, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(5): 5935-5952, 2023.
4. Zhi GAO, Yuwei WU, Mehrtash Harandi, and Yunde JIA, Curvature Adaptive Meta Learning in Constant Curvature Spaces for Non-Euclidean Data, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(2): 1545-1562, 2023.
5. Yunde JIA, Yanmei DONG, Bin XU, and Che SUN, TIUI: Touching a Live Video for Teleoperation,IEEE Transactions on Mobile Computing (TMC), 22(4): 2458-2472, 2023.
6. Mingliang ZHAI, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia, Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 29 Oct 2023, 5269-5277
7. Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia, Sparse Point Guided 3D Lane Detection,In Proc. International Conference on Computer Vision (ICCV), 2023.
8. MENG Qinghao, Wenguan WANG, Tianfei ZHOU, Jianbing SHEN, Yunde JIA, and Luc Van Gool, Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(8): 4454-4468, 2022.
9. Che SUN, Yunde JIA, Yi GUO, Yuwei WU, Global-Aware Registration of Less-Overlap RGB-D Scans, In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
10. Che SUN, Yunde JIA, and Yuwei WU, Evidential Reasoning for Video Anomaly Detection, In Proc. ACM Multimedia Conference (MM), 2022.