Basic Information

 

Chi Zhang, Ph.D.

Assistant Professor

IEEE Member

Institute of Artificial Intelligence and Robotics

College of Artificial Intelligence

Xi'an Jiaotong University

张驰,工学博士

助理教授

人工智能学院团委书记

人工智能与机器人研究所

人工智能学院

西安交通大学

Awards

-  2024.05  2023年西安交通大学共青团工作先进个人

-  2023.12  2023年陕西省优秀博士学位论文

-  2023.05  2023年西安交通大学优秀博士学位论文

-  2023.03  人工智能学院2022服务贡献奖

-  2019.11  2019中国智能车未来挑战赛-特别奉献奖

-  2019.10  IEEE国际无人系统大会(ICUS)最佳论文奖

-  2018.06  2017中国智能车未来挑战赛-关键技术应用贡献奖

-  2015.09  西安交通大学优秀研究生

-  2014.10  IEEE国际智能交通系统大会(ITSC)最佳学生论文奖

-  2014.09  西安交通大学优秀研究生干部

-  2013.09  西安交通大学优秀研究生干部

-  2013.03  2012年度“人机所之星”

-  2012.03  2011年度“人机所学生俱乐部服务标兵”

 

 

 

Contact Information

  • Email: chizhang [At] xjtu.edu.cn
  • 地址:陕西省西安市咸宁西路28号西安交通大学人工智能与机器人研究所  邮编:710049
  • Add.: Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi 710049, China
  • 办公地点: 科学馆147室
                   泓理楼4-4170

 

站点计数器

Biography

Chi Zhang is an Assistant Professor at Xi'an Jiaotong University. He received his Ph.D. degree in Control Science and Engineering and a B.E. degree in Automation both from Xi'an Jiaotong University in 2021 and 2011, respectively. From 2016 to 2017, he was a visiting Ph.D. student with Northwestern University, Evanston, IL, USA, under the supervision of Prof. Ying Wu. He is a member of the IEEE, CAA, and CAAI.

Work Experience

2021年8月至今:

西安交通大学  人工智能学院  助理教授

西安交通大学  人工智能学院  学科博士后(合作导师:刘跃虎  教授)

西安交通大学  统计学博士后科研流动站  博士后(合作导师:孟德宇  教授)

Educational Experience

博士学位:西安交通大学专业:控制科学与工程导师:刘跃虎  教授

               (2016~2017赴美国西北大学联合培养导师:吴郢  教授)                                               

学士学位:西安交通大学专业:自动化

Research Fields

计算机视觉与模式识别/Computer Vision and Pattern Recognition

  • 视觉智能测试与评估(面向无人驾驶)
  • 视觉交通场景表征学习与认知理解
  • 长尾视觉数据表征学习
  • 神经渲染

机器学习/Machine Learning

  • 面向长尾视觉数据的元学习理论
  • 长尾表征学习模型的泛化理论
  • 混合增强智能/Hybrid-augmented Intelligence
  • 面向人机行为任务的协同决策理论与方法

 

Computer Vision and Pattern Recognition

  •  Visual Intelligence Testing and Evaluation (for Autonomous Driving)
  •  Visual Traffic Scene Representation Learning and Cognitive Understanding
  •  Long-tailed Visual Data Representation Learning
  •  Neural Rendering

Machine Learning

  • Meta-learning Theory for Long-tailed Visual Data
  • Generalization Theory for Long-tailed Representation Learning Models

Hybrid-augmented Intelligence

  • Collaborative Decision-making Theory and Methods for Human-Machine Interaction Tasks

Grants

项目/课题负责人

  • 2023.01-2025.12   国家自然科学基金青年科学基金项目(编号:62202370), 交通场景图像语义操纵的单样本图像翻译方法研究.
  • 2022.01-2023.12   中央高校基本科研业务费自由探索与创新(教师类)项目(编号:xzy012022085), 无人驾驶环境感知能力可靠性评估的因果强化搜索方法研究.

参与项目

  • 2025.01-2028.12   国家自然科学基金联合基金项目(编号:U24A20252), 自动驾驶的车路云协同计算方法研究.
  • 2025.01-2028.12   国家自然科学基金专项项目(编号:62442604), 智能与数字技术驱动的科技竞赛测评方法及仿真验证. 
  • 2020.01-2023.12   国家自然科学基金面上项目(编号:61973245), 无人驾驶环境感知智能的测试模型与可靠性评估.
  • 2019.11-2023.11   国家重点研发计划课题(编号:2018AAA0102504), 面向人机行为任务的协同决策理论与方法. 
  • 2015.01-2016.12   国家自然科学基金重大研究计划集成项目(编号:91520301), 无人驾驶车辆智能测试评估与环境设计.
  • 2014.01-2016.12   国家自然科学基金海外合作项目(编号:61328303),  运动视觉的计算模型研究.
  • 2012.01-2014.12   国家自然科学基金重大研究计划培育项目(编号:91120009), 无人驾驶车辆环境认知能力评估与离线测试系统.

Principal Investigator:

  • National Natural Science Foundation of China - Young Scientists Fund (No. 62202370)"Single-sample Image Translation Methods for Traffic Scene Image Semantic Manipulation"       Jan 2023 - Dec 2025
  • Fundamental Research Funds for the Central Universities - Free Exploration and Innovation Project (Faculty Category)(No.xzy012022085) "Causal Reinforcement Search Methods for Reliability Assessment of Autonomous Driving Environmental Perception"               Jan 2022 - Dec 2023

Key Participant:

  • National Natural Science Foundation of China - General Program (No. 61973245)   "Testing Models and Reliability Assessment for Autonomous Driving Environmental Perception Intelligence"     Jan 2020 - Dec 2023
  • National Key R&D Program of China (No. 2018AAA0102504)    "Collaborative Decision-making Theory and Methods for Human-Machine Interaction Tasks"      Nov 2019 - Nov 2023
  • National Natural Science Foundation of China - Major Research Plan Integration Project (No. 91520301)    "Intelligent Testing, Evaluation and Environmental Design for Autonomous Vehicles"     Jan 2015 - Dec 2016
  • National Natural Science Foundation of China - International Cooperation Project (No. 61328303)    "Computational Models for Motion Vision"    Jan 2014 - Dec 2016
  • National Natural Science Foundation of China - Major Research Plan Cultivation Project (No. 91120009)    "Environmental Perception Capability Assessment and Offline Testing System for Autonomous Vehicles"    Jan 2012 - Dec 2014

Publications

Google Scholar

国际期刊论文(Selected Journal Articles)

  1. Chi Zhang, Meng Yuan, Xiaoning Ma, Yu Liu, Haoang Lu, Le Wang, Yuanqi Su and Yuehu Liu. "Unified Regularity Measures for Sample-wise Learning and Generalization." Visual Intelligence, 2024. (Accepted)
  2. Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, and Yuehu Liu. "Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models." IEEE Open Journal of Intelligent Transportation Systems ,2024.
  3. Chi Zhang, Xiaoning Ma, Liheng Xu, Haoang Lu, Le Wang, Yuanqi Su, Yuehu Liu, Li Li. "Worst Perception Scenario Search via Recurrent Neural Controller and K-reciprocal Re-ranking." IEEE Transactions on Intelligent Transportation Systems, 2023. (Accepted)
  4. Zeqi Chen, Zhichao Cui, Chi Zhang, Jiahuan Zhou and Yuehu Liu. "Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification." IEEE Transactions on Circuits and Systems for Video Technology, 2023. (Accepted)
  5. Shuangxun Ma, Yuehu Liu, Guangcan Liu, Qinghai Zheng and Chi Zhang." Orthogonal Multi-view Tensor-based Learning for Clustering." Neurocomputing2022.  (Accepted)
  6. Chi Zhang, Benyi Hu, Yuhang Liuzhang, Le Wang, Li Liu, and Yuehu Liu. "Switching: understanding the class-reversed sampling in tail sample memorization." Machine Learning (2022): 1-29. (ACML 2021 Journal Track)
  7. Chi Zhang, Zihang Lin, Liheng Xu, Zongliang Li, Wei Tang, Yuehu Liu, Gaofeng Meng, Le Wang and Li Li. " Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement." IEEE Transactions on Circuits and Systems for Video Technology, 2021. (Accepted)
  8. Chi Zhang, Yu Liu, Le Wang, Yuehu Liu, Li Li, and Nanning Zheng. "Joint Intelligence Ranking by Federated Multiplicative Update." IEEE Intelligent Systems, Vol. 35, Issue. 4, pp. 15-24, July/August, 2020. (WOS: 000564262600003)
  9. Chi Zhang, Yuehu Liu, Li Li, Nan-Ning Zheng, and Fei-Yue Wang. "Joint task difficulties estimation and testees ranking for intelligence evaluation." IEEE Transactions on Computational Social Systems, Vol. 6, Issue. 2, pp. 221-226, 2020. (WOS: 000463475000004)
  10. Zhichao Cui, Yaochen Li, Chi Zhang, Yuehu Liu, and Fuji Ren. "Coarse-to-fine 3D road model registration for traffic video augmentation." IET Image Processing, Vol. 14, Issue. 12, pp. 2690-2700, 2020. (WOS:000582146100009)

国内期刊论文

  1. 胡靖雪, 张驰, 徐力恒, 吕晓军, and 刘跃虎. "行李安检智能判图数据闭环的最难样本子集发现." 铁路计算机应用(智能铁路专辑)2022. (已录用)
  2. 胡本翼, 彭凯贝, 张驰, 吕晓军, and 刘跃虎. "行李安检智能判图的多标签分类算法." 铁路计算机应用(智能铁路专辑)2022. (已录用)
  3. 刘钰, 张驰, 李垚辰, 李力, 刘跃虎, and 郑南宁. "基于 OBB 表示的交通场景多传感数据操纵." 无人系统技术 5 (2019): 4.

会议论文(Selected Conference Papers)

  1. Zhen Wang, Zihang Lin, Meng Yuan, Yuehu Liu, Chi Zhang. "Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer." AAAI Conference on Artificial Intelligence (AAAI'2025)(Accepted)
  2. Tingting Long, Mengru Zong, Chi Zhang, Yuehu Liu, Shuangxun Ma, Li Li. "Generating Realistic VRU-AV Scenarios Via Social Force-Based Gradient Optimization " In 27th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. (Accepted)
  3. Yibing Yang, Chi Zhang, Linhai Xu, Shuangxun Ma, Li Li. "Safety-Critical Scenario Generation by Causal Influence Detection." In 27th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. (Accepted)
  4. Jinghang Chen, Chi Zhang, Xiaodan Feng, Yuehu Liu. "Text-guided Image Generation for Railway Intrusion Anomaly Detection." In 2023 International Conference on Unmanned Systems (ICUS). IEEE, 2023.(Accepted)
  5. Xiaodan Feng, Yuanqi Su, Yuehu Liu, Chi Zhang. "Semantic Traffic Element Removal by Learning to Follow Linguistic Instructions." In 2023 International Conference on Unmanned Systems (ICUS). IEEE, 2023.(Accepted)
  6. Zuyu Zhang, Yuchen Liang, Yuehu Liu, Chi Zhang. "Sample-Efficient Imitation Learning via Reconstructed Intrinsic Reward." In 2023 International Conference on Unmanned Systems (ICUS). IEEE, 2023.(Accepted)
  7. Chang Zou, Zeqi Chen, Yuehu Liu, Chi Zhang. "Reliable Boundary Samples-based Proxy Pairs for Unsupervised Person Re-Identification." In The 6th Chinese Conference on Pattern Recognition and Computer Vision, 2023. (Accepted)
  8. Chang Zou, Zeqi Chen, Zhichao Cui, Yuehu Liu, Chi Zhang. "Discrepant and Multi-instance Proxies for Unsupervised Person Re-identification." In 2023 International Conference on Computer Vision (ICCV). IEEE, 2023. (Accepted)
  9. Jinsong Pang, Tingting Long, Zhichao Cui, Linhai Xu, Li Li, Chi Zhang. "Learning from Not All Vehicles via Influence Function." In 26th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023. (Accepted)
  10. Feiyang Yu, Tingting Long, Zhichao Cui, Linhai Xu, Li Li, Chi Zhang. "Pedestrian Simulation by Learning from Online Human Demonstration with VR Headset." In 26th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023. (Accepted)
  11. Zhenhao Ye, Yanlong Li, Zhichao Cui, Yuehu Liu, Li Li, Le Wang, Chi Zhang. "Unsupervised Video Anomaly Detection with Self-Attention based Feature Aggregating." In 26th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023. (Accepted)
  12. Tianyi Li, Chi Zhang, Wei Su, Yuehu Liu. "EgoFormer: Transformer-based Motion Context Learning for Ego-pose Estimation" In 2023 IEEE Conference on Systems, Man, and Cybernetics. IEEE, 2023.(Accepted)
  13. Xiaolan Guo, Chi Zhang, Liheng Xu, Li Li, and Linhai Xu. "Disentangling Perception-failure-induced Corner Cases by Counterfactual Reasoning" In 2022 5th International Conference on Unmanned Systems (ICUS). IEEE, 2022.(Accepted)
  14. Mengtao Han, Yaochen Li, Liangyu Zuo, Qiao Li, Chi Zhang, Yuanqi Su, and Ping Li. "Point Cloud Segmentation via Edge-fused Local Graph Learning." In 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 13567-13573. IEEE, 2021.
  15. Haochuan Hou, Yaochen Li, Chi Zhang, Hao Liao, Ying Zhang, and Yuehu Liu. "Vehicle Behavior Recognition using Multi-Stream 3D Convolutional Neural Network." In 2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC), pp. 355-360. IEEE, 2021.
  16. Zihang Lin, Chi Zhang, Yuehu Liu, Li Li, and Le Wang. "Structure-aware Roadview Synthesis for Testing Autonomous Perception." In 2020 3rd International Conference on Unmanned Systems (ICUS), pp. 1018-1023. IEEE, 2020.
  17. Zhixuan Zhang, Chi Zhang, Yuehu Liu, Yuanqi Su, Ping Li, and Jinzi Zheng. "A Bottom-up Paradigm for Traffic Scene Graph Representation." In Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, pp. 361-368. 2020.
  18. Biyao Shang, Chi Zhang, Yuehu Liu, Le Wang, and Li Li. "Predicting the association between fine-grained attributes and black-boxed perceptual performance." In 2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC), pp. 661-666. IEEE, 2020.
  19. Xiannong Wu, Chi Zhang, and Yuehu Liu. "Calibrank: Effective Lidar-Camera Extrinsic Calibration By Multi-Modal Learning To Rank." In 2020 IEEE International Conference on Image Processing (ICIP), pp. 3189-3193. IEEE, 2020.
  20. Benyi Hu, Chi Zhang, Le Wang, Qilin Zhang, and Yuehu Liu. "Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion." In Proceedings of the Asian Conference on Computer Vision. 2020.
  21. Liheng Xu, Chi Zhang, Yuehu Liu, Le Wang, and Li Li. "Worst Perception Scenario Search for Autonomous Driving." In 2020 IEEE Intelligent Vehicles Symposium (IV), pp. 1702-1707. IEEE, 2020.
  22. Chi Zhang, Biyao Shang, Ping Wei, Li Li, Yuehu Liu, and Nanning Zheng. "Building Explainable AI Evaluation for Autonomous Perception." In CVPR Workshops, pp. 20-23. 2019.
  23. Yu Liu, Chi Zhang, Yaochen Li, Li Li, Yuehu Liu, and Nanning Zheng. "OBB-based 4D Manipulation of Traffic Sensory Data for Generating Corner Driving Scenarios." In 2019 IEEE International Conference on Unmanned Systems (ICUS), pp. 605-610. IEEE, 2019. (Best Paper Award, EI: 20201008261346)
  24. Zhibin Zhong, Chi Zhang, Yuehu Liu, and Ying Wu. "VIASEG: Visual Information Assisted Lightweight Point Cloud Segmentation." In 2019 IEEE International Conference on Image Processing (ICIP), pp. 1500-1504. IEEE, 2019. (EI: 20195207921876)
  25. Chao Zhu, Yaochen Li, Yuehu Liu, Zhiqiang Tian, Zhichao Cui, Chi Zhang, and Xinyu Zhu. "Road Scene Layout Reconstruction based on CNN and its Application in Traffic Simulation." In 2019 IEEE Intelligent Vehicles Symposium (IV), pp. 480-485. IEEE, 2019. (EI: 20193807453140)
  26. Yu Liu, Chi Zhang, Yuehu Liu, Le Wang, Li Li, and Nanning Zheng, “Joint intelligence ranking by federated gradient descent,” In Proc. 1st Int. Workshop Federated Mach. Learn. User Privacy Data Confidentiality, 2019.
  27. Jiajie Wang, Chi Zhang, Yuehu Liu, and Qilin Zhang. "Traffic sensory data classification by quantifying scenario complexity." In 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 1543-1548. IEEE, 2018. (EI: 20184706120123)
  28. Chi Zhang, Yuehu Liu, Qilin Zhang, and Le Wang. "A graded offline evaluation framework for intelligent vehicle’s cognitive ability." In 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 320-325. IEEE, 2018. (EI: 20184706120076)
  29. Guangzhong Liu, Jiajie Wang, Chi Zhang, Song Liao, and Yuehu Liu. "Realistic view synthesis of a structured traffic environment via adversarial training." In 2017 Chinese Automation Congress (CAC), pp. 6600-6605. IEEE, 2017. (EI: 20183005603101)
  30. Danchen Zhao, Yuehu Liu, Chi Zhang, and Yaochen Li. "Autonomous driving simulation for unmanned vehicles." In 2015 IEEE Winter Conference on Applications of Computer Vision, pp. 185-190. IEEE, 2015. (EI: 20151300683652)
  31. Yaochen Li, Yuehu Liu, Chi Zhang, Danchen Zhao, and Nanning Zheng. "The “floor-wall” traffic scenes construction for unmanned vehicle simulation evaluation." In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1726-1731. IEEE, 2014.(Best Student Paper Award, EI: 20152901040876)
  32. Chi Zhang, Yuehu Liu, Danchen Zhao, and Yuanqi Su. "RoadView: A traffic scene simulator for autonomous vehicle simulation testing." In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1160-1165. IEEE, 2014. (EI: 20152901040700)
  33. Huan Zhao, Yuehu Liu, Chi Zhang, Danchen Zhao, and Feng Xu. "Generating Image Sequences of Augmented Road Scenarios." In 2014 International Conference on Virtual Reality and Visualization, pp. 473-477. IEEE, 2014. (EI: 20161502210650 )