Taiqiang Wu
11 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (27) 👥 Mega-Team · Squad 💎 Century Club · Bronze
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Unstoppable · Bronze
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model compression
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knowledge distillation
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large language model
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subspace learning
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prototype learning
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vision transformer
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cross-lingual transfer
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transfer learning
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multimodal learning
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kullback-leibler divergence
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3d vision
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scene reconstruction
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model merging
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neural network optimization
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graph structure
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bert compression
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image inpainting
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parameter-efficient fine-tuning
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image generation
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Papers
Revisiting Model Interpolation for Efficient Reasoning
ACL 2026
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs
COLING 2025
LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation
ICCV 2025
Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency
ICCV 2025
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
COLING 2025
Mixture-of-Subspaces in Low-Rank Adaptation
EMNLP 2024
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
NeurIPS 2024
Weight-Inherited Distillation for Task-Agnostic BERT Compression
NAACL 2024
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer
CVPR 2023
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
ACL 2023
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching
NAACL 2022