This is your work, valued
RealtimeConeDetection. 1. Labelled a traffic cones dataset of 260 images. 2. Scripts to create your own dataset. & 3. Adapted YOLOv3 for SJTU racing team.
51EE359-Multi-Graph-Matching. Python implementation of three algorithms in paper "Unifying Offline and Online Multi-graph Matching via Finding Shortest Paths on Supergraph". Homework of EE359, Prof. Junchi Yan.
9Logistic-and-LDA-from-Scratch. CS385 homework. Logistic regression and LDA from scratch.
7SJTU-CS385-Project2. Project2 of CS385, guided by Prof. Quanshi Zhang
5scRNA-Causal-Dropout. [ICLR'24 (oral)] Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
4TIN. [NeurIPS'22] Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
4Compile-Hadoop2.2.0-on-MacOS. Maybe the first (or the dumbest) to compile Hadoop on MacOS Mojave.
3ISA_two_step_ICA. MATLAB
3Equiv-LiNG-Latent. [ICLR'26 (oral)] Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning
2CDIS. [ICLR'25 (oral)] When Selection Meets Intervention: Additional Complexities in Causal Discovery
1Local-LiNG-Discovery. [AISTATS'24] Local Causal Discovery with Linear non-Gaussian Cyclic Models
1SJTU-EE208-CV-SE. assignments for ee208, @2018 autumn, SJTU
1causal-learn. Causal Discovery for Python. Translation and extension of the Tetrad Java code.
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