Peng Tang
20 papers · 2017–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(44)
π§¬
Topic Evolution
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Keyword Champion
(3)
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Trend Setter
π
Conference Pioneer
β‘
Prolific Year
(9)
π
Century Club
(18)
ποΈ
Keyword Collector
(82)
Conferences
AAAI (5)
CVPR (3)
NAACL (3)
ACL (2)
EMNLP (2)
ECCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
knowledge distillation
(4)
encoder-decoder transformer
(3)
representation learning
(2)
federated learning
(2)
object detection
(2)
multimodal learning
(2)
large language model
(2)
visual document understanding
(2)
model compression
(2)
visual question answering
(2)
question answering
(1)
information extraction
(1)
data augmentation
(1)
information retrieval
(1)
unsupervised pretraining
(1)
synthetic data generation
(1)
weakly supervised learning
(1)
topological data analysis
(1)
person re-identification
(1)
document understanding
(1)
Papers
FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions
AAAI 2026
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
AAAI 2026
Turbocharging Web Automation: The Impact of Compressed History States
ACL 2025
On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models
NAACL 2025
R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding
ACL 2025
Going Deeper into Locally Differentially Private Graph Neural Networks
ICML 2025
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
EMNLP 2024
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
AAAI 2024
No Head Left Behind β Multi-Head Alignment Distillation for Transformers
AAAI 2024
Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA
CVPR 2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
EMNLP 2024
DocFormerv2: Local Features for Document Understanding
AAAI 2024
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains
IJCAI 2024
Multiple-Question Multiple-Answer Text-VQA
NAACL 2024
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models
NAACL 2024
Shape-Texture Debiased Neural Network Training
ICLR 2021
Proposal Learning for Semi-Supervised Object Detection
WACV 2021
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification
CVPR 2019
Weakly Supervised Region Proposal Network and Object Detection
ECCV 2018
Multiple Instance Detection Network With Online Instance Classifier Refinement
CVPR 2017