← Authors

Kun Huang

23 papers · 2018–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (12) πŸ—ΊοΈ Taxonomy Completionist (55) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (7) 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (104) πŸš€ Conference Pioneer πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (6)

Conferences

ACL (4) CVPR (3) AAAI (2) COLING (2) EMNLP (2) ICLR (2) MICCAI (2) NIPS (2) CORL (1) ECCV (1) IJCAI (1) WACV (1)

Top co-authors

Yuexian Hou (6) Ruifang He (6) Dongming Zhao (6) Bo Wang (6) Yue Tan (3) Jinfeng Zhou (3) Zhitong Yang (2) Jie Zhang (2) Meng Wang (2) Dinesh Jayaraman (2)

Keywords

knowledge graph (4) dialogue generation (3) model compression (3) conversational recommendation (2) reinforcement learning (2) junction detection (2) dialogue system (2) global planning (2) line segment detection (2) target-oriented dialogue (2) few-shot learning (1) optimal transport (1) knowledge distillation (1) conversational ai (1) motion estimation (1) vision transformer (1) 3d reconstruction (1) scene understanding (1) multimodal learning (1) matrix factorization (1)

Papers

MAKAR: a Multi-Agent framework based Knowledge-Augmented Reasoning for Grounded Multimodal Named Entity Recognition EMNLP 2025
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images MICCAI 2024
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models MICCAI 2024
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction ACL 2023
MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns ACL 2023
Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph ACL 2023
Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation NIPS 2023
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona ACL 2023
Learning Sparse Group Models Through Boolean Relaxation ICLR 2023
CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling COLING 2022
TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph COLING 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CORL 2022
Aligning Recommendation and Conversation via Dual Imitation EMNLP 2022
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness ICLR 2022
Deep 360Β° Optical Flow Estimation Based on Multi-Projection Fusion ECCV 2022
Width & Depth Pruning for Vision Transformers AAAI 2022
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics NIPS 2021
Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification IJCAI 2021
Towards Fair Cross-Domain Adaptation via Generative Learning WACV 2021
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019
Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views CVPR 2019
PPGNet: Learning Point-Pair Graph for Line Segment Detection CVPR 2019
Learning to Parse Wireframes in Images of Man-Made Environments CVPR 2018