Da-Cheng Juan
25 papers · 2017–2025 · 12 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (12) ๐ Academic Marathon (8) ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐ Cross-Pollinator (12)
๐
Cross-Pollinator
(12)
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Renaissance Researcher
(8)
๐บ๏ธ
Taxonomy Completionist
(44)
๐งฌ
Topic Evolution
๐ค
Dynamic Duo
(10)
๐
Grand Slam
โก
Prolific Year
(6)
๐
Trend Setter
๐๏ธ
Keyword Collector
(98)
๐
Century Club
(25)
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Conference Pioneer
๐ฅ
Unstoppable
(5)
โ
The Questioner
(2)
Conferences
ACL (5)
EMNLP (3)
ICLR (3)
ICML (3)
ECCV (2)
ICCV (2)
NIPS (2)
AAAI (1)
ACML (1)
CVPR (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(3)
link prediction
(2)
adversarial training
(2)
machine translation
(2)
representation learning
(2)
attention mechanism
(2)
neural network
(2)
text generation
(2)
knowledge graph
(2)
adversarial robustness
(2)
knowledge distillation
(1)
self-supervised learning
(1)
model robustness
(1)
sentiment analysis
(1)
catastrophic forgetting
(1)
dialogue generation
(1)
image generation
(1)
question answering
(1)
neural architecture search
(1)
factual accuracy
(1)
Papers
Neuron-Level Differentiation of Memorization and Generalization in Large Language Models
EMNLP 2025
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
NAACL 2025
Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
ICLR 2025
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
NIPS 2024
RARR: Researching and Revising What Language Models Say, Using Language Models
ACL 2023
โDoes it Matter When I Think You Are Lying?โ Improving Deception Detection by Integrating Interlocutorโs Judgements in Conversations
IJCNLP 2021
โDoes it Matter When I Think You Are Lying?โ Improving Deception Detection by Integrating Interlocutorโs Judgements in Conversations
ACL 2021
HyperGrid Transformers: Towards A Single Model for Multiple Tasks
ICLR 2021
OmniNet: Omnidirectional Representations from Transformers
ICML 2021
Adversarial Robustness Across Representation Spaces
CVPR 2021
Synthesizer: Rethinking Self-Attention for Transformer Models
ICML 2021
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval
EMNLP 2020
InstaNAS: Instance-Aware Neural Architecture Search
AAAI 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
ACL 2020
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
NIPS 2020
Question Answering with Long Multiple-Span Answers
EMNLP 2020
Sparse Sinkhorn Attention
ICML 2020
Complement Objective Training
ICLR 2019
COCO-GAN: Generation by Parts via Conditional Coordinating
ICCV 2019
On the Robustness of Self-Attentive Models
ACL 2019
A2N: Attending to Neighbors for Knowledge Graph Inference
ACL 2019
Improving Adversarial Robustness via Guided Complement Entropy
ICCV 2019
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
ECCV 2018
Escaping from Collapsing Modes in a Constrained Space
ECCV 2018
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
ACML 2017