Publications

Research publications ordered by year, newest first. Patents are listed separately on the patents page.

2027
  • EDIVA: Exploiting Human Behavioral Patterns for Differential Egocentric Video Processing in Augmented Reality. Tianhua Xia, Haiyu Wang, Fengze Yu, Jieyu Lin, Ziyun Li, Barbara De Salvo, Sai Qian Zhang. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2027.
2026
  • UTOPI: Efficient Egocentric Long-Video Understanding in AR via User-Guided Token Pre-Compression. Z. Wang, S. Chen, Q. Tang, J. Lin, Z. Li, B. De Salvo, S. Q. Zhang. NeurIPS, 2026. PDF
  • SaliMory: Orchestrating Cognitive Memory for Conversational Agents. K. Zhang, X. Zhang, H. Jiang, S. Kuo, H. Yun, E. Ahmed, S. Oraby, Z. Li, S. Sharma, A. Lee, A. Aly, A. Kumar, R. Hamid, X. L. Dong. arXiv, 2026. PDFarXiv
  • AdaDino: Adaptive Vision Foundation Models for Edge Intelligence via LLM-Guided Execution. Y. Zhao, Y. Zheng, H. Su, J. Lin, S. Ambrogio, C. Jose, M. Ramamonjisoa, and others including Z. Li. arXiv, 2026. PDFarXiv
  • EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment. Q. Tang, Z. Wang, J. Lin, Z. Li, B. De Salvo, S. Q. Zhang. ECCV, 2026. PDFarXiv
  • FoSAM: Focus-Oriented Adaptive Token Sampling for Efficient Segment Anything in Augmented Reality. Z. Wang, T. Xia, H. Wang, H. Zeng, Z. Dong, Q. Tang, J. Lin, Z. Li, B. De Salvo, S. Q. Zhang. OpenReview, 2026. PDFOpenReview
2025
  • DFT Gaze: Distilled and Fine-Tuned Gaze Estimation for Personalization on Tiny Devices. H. Y. Hsieh, Z. Li, S. Q. Zhang, W. T. M. Ting, K. D. Chang, B. De Salvo, C. Liu, and others. ICIP, 2025.
  • FrameVoting: A Robust and Fast Method of Using Gaze Estimations to Identify Objects of Interest. K. D. Chang, H. Y. Hsieh, H. T. Kung, Z. Li, S. Q. Zhang. ISCAS, 2025.
  • H4H: Hybrid Convolution-Transformer Architecture Search for NPU-CIM Heterogeneous Systems for AR/VR Applications. Y. Zhao, J. Chen, S. Q. Zhang, S. S. Sarwar, K. Stangherlin, J. Gomez, J.-S. Seo, B. De Salvo, C. Liu, P. Gibbons, Z. Li. ASP-DAC, 2025. PDFarXiv
  • Foveated Instance Segmentation. H. Zeng, W. Liu, T. Xia, J. Chen, Z. Li, S. Q. Zhang. CVPR, 2025. PDFCVF
2024
  • Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction. S. Q. Zhang, Z. Li, C. Guo, S. Mahloujifar, D. Dangwal, E. Suh, B. De Salvo, and others. arXiv, 2024.
  • GazeGen: Gaze-Driven User Interaction for Visual Content Generation. H. Y. Hsieh, Z. Li, S. Q. Zhang, W. T. M. Ting, K. D. Chang, B. De Salvo, C. Liu, and others. arXiv, 2024. PDFarXiv
  • Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices. Y. Zhao, Z. Li, W. S. Khwa, X. Sun, S. Q. Zhang, S. S. Sarwar, K. H. Stangherlin, and others. arXiv, 2024. arXiv
  • Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework. X. Sun, X. Peng, S. Q. Zhang, J. Gomez, W. S. Khwa, S. S. Sarwar, Z. Li, and others. ACM TODAES, 2024.
  • Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads. Y. C. Luo, A. Lu, J. Sharda, M. Scherer, J. T. Gomez, S. S. Sarwar, Z. Li, and others. IEEE TVLSI, 2024.
  • Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality with AT-MRAM Neural Engine. A. S. Prasad, M. Scherer, F. Conti, D. Rossi, A. Di Mauro, M. Eggimann, and others including Z. Li. IEEE JSSC, 2024.
  • RoboVisio: A Micro-Robot Vision Domain-Specific SoC for Autonomous Navigation Enabling Fully-on-Chip Intelligence via 2-MB eMRAM. Q. Zhang, Z. Fan, H. An, Z. Wang, Z. Li, G. Wang, P. Abillama, H. Kim, D. Blaauw, D. Sylvester. IEEE JSSC, 2024. PDF
2023
  • Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications. V. Parmar, S. S. Sarwar, Z. Li, H. H. S. Lee, B. De Salvo, M. Suri. IEEE Micro, 2023.
  • Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16 nm CMOS. M. Scherer, M. Eggimann, A. Di Mauro, A. S. Prasad, F. Conti, D. Rossi, and others including Z. Li. ESSCIRC, 2023.
  • EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm and Hardware Co-design. H. You, Y. Zhao, C. Wan, Z. Yu, Y. Fu, J. Yuan, S. Wu, S. Zhang, Y. Zhang, C. Li, V. Boominathan, A. Veeraraghavan, Z. Li, Y. Lin. IEEE Micro Top Picks, 2023.
  • Fully-Binarized Distance Computation Based On-Device Few-Shot Learning for XR Applications. V. Parmar, S. K. Kingra, S. S. Sarwar, Z. Li, B. De Salvo, M. Suri. CVPR Workshops, 2023.
2022
  • EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm and Accelerator Co-design. H. You, C. Wan, Y. Zhao, Z. Yu, Y. Fu, J. Yuan, S. Wu, S. Zhang, Y. Zhang, C. Li, V. Boominathan, A. Veeraraghavan, Z. Li, Y. Lin. ISCA, 2022. First Place, University Demo Best Demonstration at DAC 2022 PDFarXiv
  • A 22 nm 3.5 TOPS/W Flexible Micro-Robotic Vision SoC with 2 MB eMRAM for Fully-on-Chip Intelligence. Q. Zhang, H. An, Z. Fan, Z. Wang, Z. Li, G. Wang, H. Kim, D. Blaauw, D. Sylvester. VLSI Technology and Circuits, 2022. PDF
  • Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications. V. Parmar, S. S. Sarwar, Z. Li, H. H. S. Lee, B. De Salvo, M. Suri. arXiv, 2022.
  • SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. X. Dong, B. De Salvo, M. Li, C. Liu, Z. Qu, H. T. Kung, Z. Li. CVPR, 2022. PDFarXiv
2020
  • RRAM-DNN: An RRAM and Model-Compression Empowered All-Weights-on-Chip DNN Accelerator. Z. Li, Z. Wang, L. Xu, Q. Dong, B. Liu, C. Su, W. Chu, G. Tsou, Y. Chih, J. Chang, D. Sylvester, H. Kim, D. Blaauw. IEEE JSSC, 2020. PDF
  • An Ultra-Low-Power Image Signal Processor for Hierarchical Image Recognition with Deep Neural Networks. H. An, S. Schiferl, S. Venkatesan, T. Wesley, Q. Zhang, J. Wang, K. Choo, S. Liu, B. Liu, Z. Li, and others. IEEE JSSC, 2020.
  • AA-ResNet: Energy Efficient All-Analog ResNet Accelerator. J. Lim, M. Choi, B. Liu, T. Kang, Z. Li, Z. Wang, Y. Zhang, K. Yang, D. Blaauw, and others. MWSCAS, 2020.
  • Intelligent Vision Sensors for AR/VR. C. Liu, A. Berkovich, Q. Chao, S. Chen, Z. Li, H. Reyserhove, S. S. Sarwar, T. Tsai. Imaging Systems and Applications, 2020.
  • A 170 µW Image Signal Processor Enabling Hierarchical Image Recognition for Intelligence at the Edge. H. An, S. Venkatesan, S. Schiferl, T. Wesley, Q. Zhang, J. Wang, K. Choo, S. Liu, B. Liu, Z. Li, and others. VLSI Circuits, 2020.
  • An All-Weights-on-Chip DNN Accelerator in 22 nm ULL Featuring 24×1 Mb eRRAM. Z. Wang, Z. Li, L. Xu, Q. Dong, C. Su, W. Chu, G. Tsou, Y. Chih, T. Chang, D. Sylvester, H. Kim, D. Blaauw. VLSI Circuits, 2020.
2019
  • An 879 GOPS 243 mW 80 fps VGA Fully Visual CNN-SLAM Processor for Wide-Range Autonomous Exploration. Z. Li, Y. Chen, L. Gong, L. Liu, D. Sylvester, D. Blaauw, H. Kim. ISSCC, 2019. PDF
  • Energy-Efficient, Mobile Computer Vision and Machine Learning Processors. Z. Li. PhD thesis, University of Michigan, 2019.
  • A 1920×1080 25 fps 2.4 TOPS/W Low-Power 6-D Vision Processor for Unified Optical Flow and Stereo Depth with Semi-Global Matching. Z. Li, J. Wang, D. Sylvester, D. Blaauw, H. Kim. IEEE JSSC, 2019. Related SiPS algorithm work won First Place, Bob Owens Best Student Paper Award PDF
2018
  • Low Complexity, Hardware-Efficient Neighbor-Guided SGM Optical Flow for Low-Power Mobile Vision Applications. Z. Li, J. Xiang, L. Gong, D. Blaauw, C. Chakrabarti, H. Kim. IEEE TCSVT, 2018. PDF
  • A 1920×1080 25 fps, 2.4 TOPS/W Unified Optical Flow and Depth 6D Vision Processor for Energy-Efficient, Low-Power Autonomous Navigation. Z. Li, J. Wang, D. Sylvester, D. Blaauw, H. Kim. VLSI Circuits, 2018; invited to IEEE JSSC.
2017
  • A 1920×1080 30-frames/s 2.3 TOPS/W Stereo-Depth Processor for Energy-Efficient Autonomous Navigation of Micro Aerial Vehicles. Z. Li, Q. Dong, M. Saligane, B. Kempke, L. Gong, Z. Zhang, R. Dreslinski, D. Sylvester, D. Blaauw, H. Kim. IEEE JSSC, 2017.
  • An Ultra-Wide Program, 122 pJ/bit Flash Memory Using Charge Recycling. S. Jeloka, J. Lee, Z. Li, J. Shah, Q. Dong, K. Yang, D. Sylvester, D. Blaauw. VLSI Circuits, 2017.
  • A 1920×1080 30 fps 2.3 TOPS/W Stereo-Depth Processor for Robust Autonomous Navigation. Z. Li, Q. Dong, M. Saligane, B. Kempke, S. Yang, Z. Zhang, R. Dreslinski, D. Sylvester, D. Blaauw, H. Kim. ISSCC, 2017; invited to IEEE JSSC.
  • A 288 µW Programmable Deep-Learning Processor with 270 kB On-Chip Weight Storage Using Non-Uniform Memory Hierarchy for Mobile Intelligence. S. Bang, J. Wang, Z. Li, C. Gao, Y. Kim, Q. Dong, Y. Chen, L. Fick, X. Sun, R. Dreslinski, T. Mudge, H. Kim, D. Blaauw, D. Sylvester. ISSCC, 2017.
  • A 1 Mb Embedded NOR Flash Memory with 39 µW Program Power for mm-Scale High-Temperature Sensor Nodes. Q. Dong, Y. Kim, I. Lee, M. Choi, Z. Li, J. Wang, K. Yang, and others. ISSCC, 2017.
2016
  • Hardware-Efficient Neighbor-Guided SGM Optical Flow for Low Power Vision Applications. J. Xiang, Z. Li, H. Kim, C. Chakrabarti. SiPS, 2016.
  • Low Complexity Optical Flow Using Neighbor-Guided Semi-Global Matching. J. Xiang, Z. Li, D. Blaauw, H. Kim, C. Chakrabarti. ICIP, 2016.
  • A 10 mm3 Inductive Coupling Radio for Syringe-Implantable Smart Sensor Nodes. Y. Shi, M. Choi, Z. Li, Z. Luo, G. Kim, Z. Foo, H. Kim, D. Wentzloff, D. Blaauw. IEEE JSSC, 2016.
  • A 10 mm3 Syringe-Implantable Near-Field Radio System on Glass Substrate. Y. Shi, M. Choi, Z. Li, G. Kim, Z. Foo, H. Kim, D. Wentzloff, D. Blaauw. ISSCC, 2016.
2015
  • A Dual-Slope Capacitance-to-Digital Converter Integrated in an Implantable Pressure-Sensing System. S. Oh, Y. Lee, J. Wang, Z. Foo, Y. Kim, W. Jung, Z. Li, D. Blaauw, D. Sylvester. IEEE JSSC, 2015.