Dapeng Wu
11 papers · 2013–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (12)
π
Cross-Pollinator
(11)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(30)
ποΈ
Keyword Collector
(55)
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Conference Pioneer
Conferences
ACL (4)
AAAI (2)
ICML (1)
JMLR (1)
NAACL (1)
NIPS (1)
NSDI (1)
Top co-authors
Keywords
image captioning
(3)
tensor product representation
(2)
model quantization
(1)
semi-supervised learning
(1)
variational inference
(1)
natural language processing
(1)
mathematical reasoning
(1)
multimodal learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
batch normalization
(1)
kl divergence
(1)
natural language generation
(1)
text generation
(1)
hierarchical planning
(1)
reinforcement learning
(1)
text-to-image generation
(1)
visual storytelling
(1)
hierarchical reinforcement learning
(1)
unsupervised learning
(1)
Papers
Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
ACL 2026
Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification
ACL 2026
Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis
ACL 2025
Federated Continual Learning via Prompt-based Dual Knowledge Transfer
ICML 2024
Passengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery Monitoring System
NSDI 2024
A Batch Normalized Inference Network Keeps the KL Vanishing Away
ACL 2020
Attentive Tensor Product Learning
AAAI 2019
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
AAAI 2019
Turbo Learning for CaptionBot and DrawingBot
NIPS 2018
Tensor Product Generation Networks for Deep NLP Modeling
NAACL 2018
Stationary-Sparse Causality Network Learning
JMLR 2013