Jiaru Zhang
lan-qing
世上本没有如果。胡思乱想多了，也就有了如果。 There are no 'what ifs' in this world. We create them by overthinking.
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Interpretable Autonomy: Using Mixture-of Experts for End-to-End Self-Driving
iteratively-adversarial-training
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks (KDD 2026)
OpenMMLab's next-generation platform for general 3D object detection.
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15No description provided.
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks (KDD 2026)
No description provided.
OpenMMLab's next-generation platform for general 3D object detection.
Interpretable Autonomy: Using Mixture-of Experts for End-to-End Self-Driving
[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
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Repository of stuff for the umass optimization class
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FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
Pytorch Lightning code guideline for conferences
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iteratively-adversarial-training