Xiangyang Zhu
11 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (7)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(25)
👥
Mega-Team
(20)
💎
Century Club
(10)
🗃️
Keyword Collector
(52)
Conferences
ICCV (4)
AAAI (3)
ACL (1)
CVPR (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
few-shot learning
(3)
multimodal learning
(2)
text-to-image generation
(2)
diffusion transformer
(2)
privacy preservation
(1)
transfer learning
(1)
zero-shot learning
(1)
3d segmentation
(1)
benchmark evaluation
(1)
image captioning
(1)
object detection
(1)
scene segmentation
(1)
instruction following
(1)
neural network optimization
(1)
out-of-distribution generalization
(1)
domain adaptation
(1)
diffusion model
(1)
large multimodal model
(1)
image segmentation
(1)
reinforcement learning
(1)
Papers
One Battle After Another: Probing LLMs’ Limits on Multi-Turn Instruction Following with a Benchmark Evolving Framework
ACL 2026
VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
AAAI 2026
MedOmni-45°: A Safety–Performance Benchmark for Reasoning-Oriented LLMs in Medicine
AAAI 2026
SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models
AAAI 2026
Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
ICCV 2025
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework
ICCV 2025
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
NIPS 2024
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
CVPR 2024
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method
IJCAI 2023
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
ICCV 2023
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
ICCV 2023