Ziyu Jiang
17 papers · 2019–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👥
Mega-Team · Squad
🧬
Topic Evolution
🤝
Dynamic Duo
(11)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(84)
Top co-authors
Research topics
Deep Learning
(12)
Machine Learning
(9)
Computer Vision
(7)
Architectures
(5)
Learning Types · Deep Learning
(5)
Application Areas
(4)
Domain-Specific
(4)
Generation
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Models
(3)
Analysis
(2)
Core AI
(2)
Keywords
contrastive learning
(4)
model compression
(3)
self-supervised learning
(3)
video generation
(2)
diffusion model
(2)
neural network
(2)
memory efficiency
(2)
few-shot learning
(2)
representation learning
(2)
sparse activation
(2)
class imbalance
(2)
mixture of expert
(2)
adversarial robustness
(1)
multi-task learning
(1)
vision transformer
(1)
semi-supervised learning
(1)
neural tangent kernel
(1)
neural network pruning
(1)
benchmark evaluation
(1)
link prediction
(1)
Papers
HorizonForge: Driving Scene Editing with Any Trajectories and Any Vehicles
CVPR 2026
PhyCo: Learning Controllable Physical Priors for Generative Motion
CVPR 2026
AutoScape: Geometry-Consistent Long-Horizon Scene Generation
ICCV 2025
CRAG - Comprehensive RAG Benchmark
NeurIPS 2024
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
CVPR 2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
JMLR 2024
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NeurIPS 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
ICLR 2023
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
NeurIPS 2022
DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment
ECCV 2022
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
NeurIPS 2022
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
NeurIPS 2021
Self-Damaging Contrastive Learning
ICML 2021
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations
CVPR 2020
Robust Pre-Training by Adversarial Contrastive Learning
NeurIPS 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
NeurIPS 2019