Haoran Xie
21 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (11)
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Academic Marathon
(8)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(11)
🧬
Topic Evolution
🔥
Unstoppable
(6)
💎
Century Club
(20)
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Prolific Year
(5)
🗃️
Keyword Collector
(104)
Conferences
AAAI (4)
ACL (4)
CVPR (4)
IJCAI (3)
EMNLP (2)
ICCV (2)
ICLR (1)
IJCNLP (1)
Top co-authors
Keywords
topic modeling
(4)
text classification
(3)
neural network
(3)
image editing
(2)
stick-breaking process
(2)
convolutional neural network
(2)
diffusion model
(2)
image generation
(2)
variational inference
(2)
image deraining
(2)
tree structure
(2)
image restoration
(2)
sentiment analysis
(1)
bayesian inference
(1)
adversarial robustness
(1)
domain adaptation
(1)
feature learning
(1)
semantic segmentation
(1)
transfer learning
(1)
attention mechanism
(1)
Papers
Sketch-Guided Anime Hair Editing Using Multimodal Diffusion Transformer (Student Abstract)
AAAI 2026
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
CVPR 2025
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
EMNLP 2025
ESE: Espresso Sentence Embeddings
ICLR 2025
A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions
IJCAI 2025
Cross Initialization for Face Personalization of Text-to-Image Models
CVPR 2024
Recurrent Attention Networks for Long-text Modeling
ACL 2023
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective
ICCV 2023
Fine-tuning Deep Neural Networks by Interactively Refining the 2D Latent Space of Ambiguous Images
IJCAI 2022
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection
AAAI 2022
Merging Statistical Feature via Adaptive Gate for Improved Text Classification
AAAI 2021
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
IJCAI 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
IJCNLP 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
ACL 2021
An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract)
AAAI 2021
Neural Mixed Counting Models for Dispersed Topic Discovery
ACL 2020
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud
CVPR 2020
Detail-recovery Image Deraining via Context Aggregation Networks
CVPR 2020
Siamese Network-Based Supervised Topic Modeling
EMNLP 2018
Least Squares Generative Adversarial Networks
ICCV 2017
A Network Framework for Noisy Label Aggregation in Social Media
ACL 2017