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Di Niu

31 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (134) πŸ’Ž Century Club (31)

Conferences

AAAI (7) ACL (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

Mohammad Salameh (12) Weidong Guo (9) Yu Xu (7) Shangling Jui (7) Mingjun Zhao (6) Wei Lu (6) Keith G. Mills (6) Jiuding Yang (6) Fred X. Han (5) Shengyao Lu (5)

Research topics

Computer Vision (1)

Keywords

neural architecture search (5) large language model (4) contrastive learning (3) transfer learning (3) diffusion model (3) prompt engineering (3) reinforcement learning (2) image editing (2) inference efficiency (2) representation learning (2) multimodal sentiment analysis (2) video restoration (2) video understanding (2) graph representation (2) performance prediction (2) code generation (2) image restoration (1) domain adaptation (1) image generation (1) model quantization (1)

Papers

Grounding Degradations in Natural Language for All-In-One Video Restoration WACV 2026
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models AAAI 2025
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation AAAI 2025
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution COLING 2025
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models AAAI 2025
Reassess Summary Factual Inconsistency Detection with Large Language Model ACL 2024
Learning Truncated Causal History Model for Video Restoration NIPS 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization 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
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis ACL 2023
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution NIPS 2023
Search-Map-Search: A Frame Selection Paradigm for Action Recognition CVPR 2023
Reparameterization through Spatial Gradient Scaling ICLR 2023
GENNAPE: Towards Generalized Neural Architecture Performance Estimators AAAI 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification 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
MatRank: Text Re-ranking by Latent Preference Matrix EMNLP 2022
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning ICLR 2022
LA3: Efficient Label-Aware AutoAugment ECCV 2022
Generative Adversarial Neural Architecture Search IJCAI 2021
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization ACL 2021
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization IJCNLP 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