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Lu Mi

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

7

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLGraph of Trace: Visualizing Execution Traces of Scientific Agents.Tianci Gao, Haoxuan Li, Jianhe Li, Tianxiang Zhao, Runze Shi, Weiran Wang, Zezhao Wu, Lu Mi
2025ICLRNetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics.Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Smbl, Eric Todd Shea-Brown, Lu Mi
2025ICMLConcept-Based Unsupervised Domain Adaptation.Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2024ICLREnergy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations.Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2024NAACLLatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud.Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
2023CVPRLearning to Correct Sloppy Annotations in Electron Microscopy Volumes.Minghao Chen, Mukesh Bangalore Renuka, Lu Mi, Jeff Lichtman, Nir Shavit, Yaron Meirovitch
2022AAAITraining-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate.Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit
2022ICLRConnectome-constrained Latent Variable Model of Whole-Brain Neural Activity.Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan D. T. Samuel, Srinivas C. Turaga
2021CVPRHDMapGen: A Hierarchical Graph Generative Model of High Definition Maps.Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
2020MICCAILearning Guided Electron Microscopy with Active Acquisition.Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit
2019CVPRCross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics.Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit