Lu Mi

37 papers A* 9Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification.
CoRR
Jingqi Lu, Keqi Han, Yun Wang, Lu Mi, Carl Yang
2026 J jnl
DHN-YOLO: an improved lightweight method for weld spot detection in automotive body-in-white.
Signal Image Video Process.
Saidong Yang, Debo Liu, Xingchong Li, Shixiong Zhang, Lu Mi
2025 A* conf
Concept-Based Unsupervised Domain Adaptation.
ICML
Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2025 J jnl
Concept-Based Unsupervised Domain Adaptation.
CoRR
Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2025 J jnl
MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images.
CoRR
Yuwei Sun, Lu Mi, Ippei Fujisawa, Ryota Kanai
2025 J jnl
Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective.
CoRR
Bui Duc Manh, Soumyaratna Debnath, Zetong Zhang, Shriram Damodaran, Arvind Kumar, Yueyi Zhang, Lu Mi, Erik Cambria, Lin Wang
2025 A* conf
NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics.
ICLR
Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd Shea-Brown, Lu Mi
2025 J jnl
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding.
CoRR
Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L. Orsborn, Uygar Sümbül, Eli Shlizerman
2024 A* conf
Active learning of neural population dynamics using two-photon holographic optogenetics.
NeurIPS
Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew S. Bull, Karel Svoboda, Kayvon Daie, Matthew D. Golub, Kevin Jamieson
2024 J jnl
Active learning of neural population dynamics using two-photon holographic optogenetics.
CoRR
Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew S. Bull, Karel Svoboda, Kayvon Daie, Matthew D. Golub, Kevin Jamieson
2024 J jnl
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Conditional Interpretations.
CoRR
Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2024 A* conf
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations.
ICLR
Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2024 — conf
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud.
NAACL-HLT (Findings)
Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
2023 J jnl
Attention for Causal Relationship Discovery from Biological Neural Dynamics.
CoRR
Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim
2023 J jnl
LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud.
CoRR
Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Fatemehsadat Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
2023 A* conf
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.
NeurIPS
Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2023 J jnl
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.
CoRR
Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2023 — conf
Learning to Correct Sloppy Annotations in Electron Microscopy Volumes.
CVPR Workshops
Minghao Chen, Mukesh Bangalore Renuka, Lu Mi, Jeff Lichtman, Nir Shavit, Yaron Meirovitch
2023 J jnl
The XPRESS Challenge: Xray Projectomic Reconstruction - Extracting Segmentation with Skeletons.
CoRR
Tri Nguyen, Mukul Narwani, Mark Larson, Yicong Li, Shuhan Xie, Hanspeter Pfister, Donglai Wei, Nir Shavit, Lu Mi, Alexandra Pacureanu, Wei-Chung Lee, Aaron T. Kuan
2023 — conf
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics.
ISBI
Yicong Li, Yaron Meirovitch, Aaron T. Kuan, Jasper S. Phelps, Alexandra Pacureanu, Wei-Chung Allen Lee, Nir Shavit, Lu Mi
2023 J jnl
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics.
CoRR
Yicong Li, Yaron Meirovitch, Aaron T. Kuan, Jasper S. Phelps, Alexandra Pacureanu, Wei-Chung Allen Lee, Nir Shavit, Lu Mi
2022 A* conf
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity.
ICLR
Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan D. T. Samuel, Srinivas C. Turaga
2022 — —
Deep Learning Tools for Next-Generation Connectomics
Lu Mi
2022 J jnl
Subgraph Frequency Distribution Estimation using Graph Neural Networks.
CoRR
Zhongren Chen, Xinyue Xu, Shengyi Jiang, Hao Wang, Lu Mi
2022 A* conf
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate.
AAAI
Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit
2022 J jnl
im2nerf: Image to Neural Radiance Field in the Wild.
CoRR
Lu Mi, Abhijit Kundu, David A. Ross, Frank Dellaert, Noah Snavely, Alireza Fathi
2021 A* conf
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps.
CVPR
Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
2021 J jnl
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps.
CoRR
Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
2021 J jnl
Learning Guided Electron Microscopy with Active Acquisition.
CoRR
Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit
2021 J jnl
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework.
CoRR
Lu Mi, Tianxing He, Core Francisco Park, Hao Wang, Yue Wang, Nir Shavit
2020 J jnl
Inter-harmonics analysis and parameter estimation based on H2R6 window and constructing low-interference zone.
IET Commun.
Yanchun Xu, Yufei Du, Zhenxing Li, Lei Xi, Lu Mi
2020 — conf
Learning Guided Electron Microscopy with Active Acquisition.
MICCAI (5)
Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit
2019 A* conf
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics.
CVPR
Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit
2019 J jnl
Training-Free Uncertainty Estimation for Neural Networks.
CoRR
Lu Mi, Hao Wang, Yonglong Tian, Nir Shavit
2018 J jnl
A Probe Towards Understanding GAN and VAE Models.
CoRR
Lu Mi, Macheng Shen, Jingzhao Zhang
2018 J jnl
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics.
CoRR
Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit
2016 J jnl
Study of a Microfluidic Chip Integrating Single Cell Trap and 3D Stable Rotation Manipulation.
Micromachines
Liang Huang, Long Tu, Xueyong Zeng, Lu Mi, Xuzhou Li, Wenhui Wang