Ziang Zhang
11 papers · 2023–2026 · 6 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
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (10) ⚡ Prolific Year · Productive
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Century Club · Bronze
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Artificial Intelligence
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Learning Types · Deep Learning
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Computer Vision
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Learning Paradigms
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Optimization & Theory
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Keywords
multimodal learning
(4)
representation learning
(3)
vision-language model
(3)
contrastive learning
(3)
cross-modal alignment
(3)
multimodal representation
(2)
semantic alignment
(2)
embedding learning
(1)
3d vision
(1)
embedding space
(1)
speech processing
(1)
3d scene understanding
(1)
text-to-image generation
(1)
cross-modal retrieval
(1)
visual perception
(1)
probability distribution
(1)
vector quantization
(1)
chain-of-thought reasoning
(1)
sound separation
(1)
model fusion
(1)
Papers
SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation
CVPR 2026
Data-Efficiently Learn Large Language Model for Universal 3D Scene Perception
NAACL 2025
MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
MICCAI 2025
OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces
ICLR 2025
OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup
ICLR 2025
Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
ICML 2025
SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language
CVPR 2025
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
ICLR 2025
Extending Multi-modal Contrastive Representations
NeurIPS 2024
FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
ICML 2024
Connecting Multi-modal Contrastive Representations
NeurIPS 2023