Grants & Projects per year
Personal profile
Biography
Zhaozheng obtained his Ph.D. in Computer Science and Engineering from Pennsylvania State University in 2009, and received his Master and Bachelor degrees in Electrical and Computer Engineering from University of Wisconsin-Madison and Automation from Tsinghua University, respectively. He also worked as a Postdoctoral Fellow in the Robotics Institute of Carnegie Mellon University during 2009-2011.
Research interests
Interests: Biomedical Image Analysis, Computer Vision, Machine Learning, Cyber-Physical Systems, Human-Robot Collaboration.
Our current research projects include:
NRI: INT: COLLAB: Intelligent Human-Robot Collaboration for Smart Factory. National Science Foundation.
CPS: Synergy: Collaborative Research: Cyber-Physical Sensing, Modeling, and Control with Augmented Reality for Smart Manufacturing Workforce Training and Operations Management. National Science Foundation.
CAREER: Microscopy Image Analysis to Aid Biological Discovery: Optics, Algorithms and Community. National Science Foundation.
Lung CT Image Analysis. 12 Sigma Technologies Inc.
and open-set research idea exploration supported from various resources.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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SBF Funds to fund 10 Seed Grants Advancing AI Research/Diffusion
Varshney, L. (PI), Carlini, L. (CoI), Choi, H. (CoI), Dave, A. (CoI), Enikolopov, G. (CoI), Klein, D. N. (CoI), Li, J. (CoI), Ma, T. (CoI), Miranda, V. (CoI), Samaras, D. (CoI), Sirotkin, H. I. (CoI), Sunar, U. (CoI), Vitek, N. (CoI), Yin, Z. (CoI), Jeon, M. E. (CoI) & Weiss, S. (CoI)
08/1/26 → 07/31/27
Project: Research
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AI Innovation Institute Seed Grant Fund Program
Skiena, S. S. (PI), Balasubramanian, A. (CoI), Balasubramanian, N. (CoI), Banerjee, R. (CoI), Brennan, S. (CoI), Dubnau, J. T. (CoI), Enikolopov, G. (CoI), Hajagos, J. (CoI), Hsiao, B. S. (CoI), Hu, C.-K. (CoI), Johnston, K. D. (CoI), Josephs, E. (CoI), Kurc, T. (CoI), Lemelin, J. M. (CoI), Li, R. (CoI), McKinnon, D. (CoI), McSweeney, J. (CoI), Prasanna, P. (CoI), Qin, R. (CoI), Ramakrishnan, I. V. (CoI), Rambow, O. (CoI), Reed, K. A. (CoI), Saltz, M. (CoI), Salzano, M. (CoI), Sharma, S. (CoI), Tassiopoulos, A. (CoI), Yin, Z. (CoI), Zelinsky, G. (CoI), Zhang, T. (CoI), Dollan, I. J. (CoI), Qian, X. (CoI), Rosati, B. (CoI), Shu, Z. (CoI), Song, T. (CoI) & Tirotta-Esposito, R. (CoI)
01/1/25 → 12/31/26
Project: Research
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Collaborative Research: RI: Small: Shape Configuration Learning and Its Applications
Yin, Z. (PI) & Ling, H. (PI)
09/1/24 → 08/31/27
Project: Research
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GAANN Fellowship Program in Civil Engineering for Advancing Smart Infrastructure Systems
Qin, R. (PI), Burgueno, R. (CoPI), Mao, X. (CoPI), Yazici, A. (CoPI), Yin, Z. (CoPI) & Xu, S. (CoPI)
10/1/21 → 09/30/26
Project: Research
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Annotation-Efficient Hybrid Learning for Temporal Sentence Grounding
Dong, J. & Yin, Z., 2026, In: IEEE Transactions on Circuits and Systems for Video Technology. 36, 2, p. 2594-2606 13 p.Research output: Contribution to journal › Article › peer-review
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Content-Aware Image Compression Model for Macromolecular Crystallography Data
Dong, J., Yin, Z., Bernstein, H. J. & Jakoncic, J., 2026, ISBI 2026 - 23rd IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2026-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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D4Recon: Dual-Stage Deformation and Dual-Scale Depth Guidance for Endoscopic Reconstruction
Basak, H. & Yin, Z., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Park, J., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 159-169 11 p. (Lecture Notes in Computer Science; vol. 15968 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation
Biswas, S. & Yin, Z., 2026, Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026. Institute of Electrical and Electronics Engineers Inc., p. 3638-3647 10 p. (Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Dual-source cone-beam CT for HDR brachytherapy in-suite imaging: Simulation studies of limited angle image reconstruction based on deep image prior
Qian, X., Shu, Z., Souri, S., Zhao, Y., Yin, Z., Farrell, R. F., Kim, J., Wu, J., Ryu, S. & Zhang, T., Jan 1 2026, In: Brachytherapy. 25, 1, p. 214-220 7 p.Research output: Contribution to journal › Article › peer-review
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