Ziyu Jiang
15 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
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NIPS (7)
CVPR (3)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
contrastive learning
(3)
model compression
(3)
sparse activation
(2)
mixture of expert
(2)
self-supervised learning
(2)
class imbalance
(2)
memory efficiency
(2)
neural network
(2)
representation learning
(2)
multi-task learning
(1)
vision transformer
(1)
semi-supervised learning
(1)
neural tangent kernel
(1)
adversarial robustness
(1)
neural network pruning
(1)
benchmark evaluation
(1)
link prediction
(1)
video generation
(1)
scene understanding
(1)
image segmentation
(1)
Papers
AutoScape: Geometry-Consistent Long-Horizon Scene Generation
ICCV 2025
CRAG - Comprehensive RAG Benchmark
NIPS 2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
JMLR 2024
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
CVPR 2024
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
ICLR 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NIPS 2023
MΒ³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
NIPS 2022
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
NIPS 2022
DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment
ECCV 2022
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
NIPS 2021
Self-Damaging Contrastive Learning
ICML 2021
Robust Pre-Training by Adversarial Contrastive Learning
NIPS 2020
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations
CVPR 2020
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
CVPR 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
NIPS 2019