Ye Zhu
31 papers · 2018–2026 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Conference Polyglot (12) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(47)
π
Triple Crown
π
Grand Slam
π
Conference Pioneer
π₯
Unstoppable
(5)
β
The Questioner
π
Century Club
(29)
ποΈ
Keyword Collector
(123)
β‘
Prolific Year
(5)
Conferences
AAAI (6)
IJCAI (4)
ICCV (3)
ICLR (3)
MICCAI (3)
CVPR (2)
ECCV (2)
ICML (2)
MIDL (2)
NIPS (2)
ACML (1)
WACV (1)
Top co-authors
Research topics
Keywords
semantic segmentation
(3)
image segmentation
(2)
diffusion model
(2)
generative model
(2)
contrastive learning
(2)
domain adaptation
(2)
isolation kernel
(2)
point cloud completion
(2)
kernel methods
(2)
image generation
(1)
policy evaluation
(1)
temporal difference learning
(1)
stochastic gradient
(1)
feature alignment
(1)
semi-supervised learning
(1)
sample efficiency
(1)
dimensionality reduction
(1)
similarity learning
(1)
video generation
(1)
function approximation
(1)
Papers
DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
AAAI 2026
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection
AAAI 2026
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
AAAI 2025
Single-Loop Federated Actor-Critic across Heterogeneous Environments
AAAI 2025
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
IJCAI 2025
HRAvatar: High-Quality and Relightable Gaussian Head Avatar
CVPR 2025
D^3: Scaling Up Deepfake Detection by Learning from Discrepancy
CVPR 2025
Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning
IJCAI 2025
TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction
ICLR 2025
GUAVA: Generalizable Upper Body 3D Gaussian Avatar
ICCV 2025
The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation
ICCV 2025
CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation
ICCV 2025
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
ICLR 2024
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface
AAAI 2024
What is Dataset Distillation Learning?
ICML 2024
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)
IJCAI 2024
Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt
MICCAI 2024
Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning
MICCAI 2024
Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
MICCAI 2024
Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation
WACV 2024
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
MIDL 2023
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
MIDL 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models
NIPS 2023
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
ICLR 2023
Towards a Persistence Diagram that is Robust to Noise and Varied Densities
ICML 2023
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
NIPS 2022
Quantized GAN for Complex Music Generation from Dance Videos
ECCV 2022
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract)
IJCAI 2022
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
ECCV 2020
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering
AAAI 2019
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing
ACML 2018