Di Niu
33 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (13) πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Academic Marathon (7)
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
π
Grand Slam
π
Triple Crown
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
π₯
Unstoppable
(8)
π
Trend Setter
π
Conference Pioneer
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(134)
π
Century Club
(31)
Conferences
ACL (9)
AAAI (7)
ICLR (4)
CVPR (2)
EMNLP (2)
NIPS (2)
COLING (1)
ECCV (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(5)
neural architecture search
(5)
diffusion model
(3)
transfer learning
(3)
prompt engineering
(3)
contrastive learning
(3)
reinforcement learning
(3)
video restoration
(2)
representation learning
(2)
video understanding
(2)
performance prediction
(2)
graph representation
(2)
inference efficiency
(2)
image editing
(2)
code generation
(2)
multimodal sentiment analysis
(2)
domain adaptation
(1)
image generation
(1)
action recognition
(1)
multi-agent reinforcement learning
(1)
Papers
Grounding Degradations in Natural Language for All-In-One Video Restoration
WACV 2026
rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection
ACL 2026
Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
ACL 2026
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution
COLING 2025
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
AAAI 2025
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
AAAI 2025
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models
AAAI 2025
Learning Truncated Causal History Model for Video Restoration
NIPS 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization
ACL 2024
Reassess Summary Factual Inconsistency Detection with Large Language Model
ACL 2024
Building Optimal Neural Architectures using Interpretable Knowledge
CVPR 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
ICLR 2024
GOAt: Explaining Graph Neural Networks via Graph Output Attribution
ICLR 2024
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
ICML 2024
Reparameterization through Spatial Gradient Scaling
ICLR 2023
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
NIPS 2023
Search-Map-Search: A Frame Selection Paradigm for Action Recognition
CVPR 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
AAAI 2023
ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis
ACL 2023
Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition
ACL 2023
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis
ACL 2023
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
ICLR 2022
LA3: Efficient Label-Aware AutoAugment
ECCV 2022
MatRank: Text Re-ranking by Latent Preference Matrix
EMNLP 2022
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
IJCNLP 2021
Generative Adversarial Neural Architecture Search
IJCAI 2021
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
ACL 2021
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models
AAAI 2020
Neural Architecture Search for Keyword Spotting
INTERSPEECH 2020
Matching Article Pairs with Graphical Decomposition and Convolutions
ACL 2019
Learning Diffusions without Timestamps
AAAI 2019