I am currently a fourth-year Ph.D. student (2022 – now) in the Department of Automation, University of Science and Technology of China (USTC), advised by Prof. Tianzhu Zhang and Prof. Baoqun Yin. I spent my M.Eng. studies at the Advanced Technology Research Institute, USTC. Huazhong University of Science and Technology conferred upon me a B.Eng. degree in 2020 from the School of Electrical and Electronic Engineering. My research interests include computer vision, multimodal learning and 3D vision.
🔥 News
2025.11: 🎉🎉 “Adaptive Agent Selection and Interaction Network for Image-to-point cloud Registration” was accepted by AAAI 2026, and I will attend the conference in Singapore🦁.
2025.10: 🎉🎉 “EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting” (Spotlight) and “BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation” were accepted by NeurIPS 2025.
2025.06: 🎉🎉 “CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection” was accepted by ICCV 2025, and I attended the conference in Hawaii🥥.
2025.02: 🎉🎉 “Implicit Correspondence Learning for Image-to-Point Cloud Registration” was accepted by CVPR 2025 as a Highlight!
2024.12: 🎉🎉 “Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment” and “DiffCorr: Conditional Diffusion Model with Reliable PseudoLabel Guidance for Unsupervised Point Cloud Shape Correspondence” was accepted by AAAI 2025.
2024.03: 🏀🏀 Won the championship in the USTC “复兴杯” Basketball Tournament 2024.
2023.06: 🎤🎤 Participated in the graduation gala.
📝 Publications
|
Adaptive Agent Selection and Interaction Network for Image-to-Point Cloud RegistrationZhixin Cheng, Xiaotian Yin, Jiacheng Deng, Bohao Liao, Yujia Chen, Xu Zhou, Wenfei Yang*, Baoqun Yin This paper targets the challenges of image-to-point-cloud registration under noise, where false correspondences are common and cross-modal information is difficult to filter effectively. It proposes a framework composed of Iterative Agent Selection and Reliable Agent Interaction: phase maps enhance structural perception, and reinforcement learning selects more reliable agents to guide cross-modal interaction, thereby reducing mismatches and improving robustness. Presented at Association for the Advancement of Artificial Intelligence 2026🌸 |
|
CA-I2P: Channel-Adaptive Registration Network with Global Optimal SelectionZhixin Cheng, Jiacheng Deng, Xinjun Li, Xiaotian Yin, Bohao Liao, Baoqun Yin, Wenfei Yang*, Tianzhu Zhang This paper addresses detection-free image-to-point cloud registration, where cross-modal channel mismatches and redundant top-k correspondences reduce matching quality. CA-I2P uses a Channel Adaptive Adjustment module to align channels across modalities and a Global Optimal Selection module to produce globally consistent matches for robust registration. We attend the conference and discussed our ideas with Google AI scientist Martin Sundermeyer. Presented at International Conference on Computer Vision 2025🌸 |
|
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain AlignmentZhixin Cheng, Jiacheng Deng, Xinjun Li, Baoqun Yin, Tianzhu Zhang* This paper proposes B2-3Dnet for detection-free image-to-point cloud registration, aiming to reduce distraction from noisy image patches and narrow the cross-modal domain gap. It introduces an uncertainty-aware hierarchical matching module that estimates patch reliability and performs multi-scale coarse-to-fine interactions, and an adversarial modal alignment module that aligns image and point-cloud features using a gradient reversal strategy and a domain classifier. Presented at Association for the Advancement of Artificial Intelligence 2025🌸 |
EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting (Spotlight)
Bohao Liao, Wei Zhai*, Zengyu Wan, Zhixin Cheng, Wenfei Yang, Yang Cao, Tianzhu Zhang, Zhengjun Zha
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Si Chen, Zhuoyuan Li, Zhixin Cheng, Tianzhu Zhang*
Implicit Correspondence Learning for Image-to-Point Cloud Registration (Highlight)
Xinjun Li, Wenfei Yang*, Jiacheng Deng, Zhixin Cheng, Xu Zhou, Tianzhu Zhang
DiffCorr: Conditional Diffusion Model with Reliable PseudoLabel Guidance for Unsupervised Point Cloud Shape Correspondence
Jiacheng Deng, Jiahao Lu, Zhixin Cheng, Wenfei Yang*
🏅 Honors and Awards
First‑Class Scholarship, USTC Graduate School
Deep Space Exploration Scholarship
Excellent Minister, Graduate Student Union, Advanced Technology Research Institute, USTC
USTC “复兴杯” Basketball Champion (2024) and Runner‑up (2023)
Outstanding Graduate, Huazhong University of Science and Technology
Level 10 Certification in Erhu Performance🎶
📖 Education
2022.09 – present: Ph.D. in Automation, USTC, Hefei, China
2020.09 – 2022.08: M.Eng., Advanced Technology Research Institute, USTC, Hefei, China
2016.09 – 2020.06: B.Eng., School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China
2013.09 – 2016.06: Senior High School, Hefei No.8 High School, Hefei, China
2010.09 – 2013.06: Junior High School, Hefei No.50 Middle School, Hefei, China
💻 Internships
2025.06 – 2025.10: Research Intern, COG1, Spark Large Model Research Institute, iFLYTEK, Hefei, China
2021.09 – 2022.08: Research Intern, Brain‑Inspired Intelligence Platform, Hefei Comprehensive National Science Center, Hefei, China
2020.09 – 2021.03: AI Algorithm Intern, Jiyuan–Huawei Ascend Joint Laboratory, NARI Jiyuan Electric Grid Technology Co., Ltd., Hefei, China
2018.07 – 2018.09: Visiting Student, The University of Manchester, Manchester, UK🎡
🛠 Skills
Programming: Python, PyTorch, CUDA
Research: Deep learning, Multimodal fusion, 3D vision task
Service: Reviewer for ICML, CVPR, ICCV, AAAI, NIPS, ICLR, ACM MM, TCSVT, TMM
Language: CET‑6, good English writing and communication
📬 Contact
Email: chengzhixin@mail.ustc.edu.cn