← Authors

Xin Dong

40 papers · 2017–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (79) 🀝 Dynamic Duo (10) πŸ† Keyword Champion πŸ† Grand Slam πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (160) πŸ’Ž Century Club (40) ❓ The Questioner (2) ⚑ Prolific Year (5)

Conferences

CVPR (9) AAAI (7) ICLR (4) ACL (3) ECCV (3) EMNLP (3) IJCNLP (3) ICCV (2) ICML (2) NIPS (2) AACL (1) COLING (1)

Top co-authors

Gerard de Melo (10) Zuohui Fu (5) Yuhang Li (5) Fuwei Zhao (3) Pavlo Molchanov (3) Xiaodan Liang (3) Dongkuan Xu (3) Yonggan Fu (3) Lingjuan Lyu (3) Yingyan Celine Lin (3)

Keywords

model compression (6) domain adaptation (5) transfer learning (5) neural network pruning (3) semantic segmentation (3) cross-lingual transfer (3) adversarial training (3) distribution shift (2) shortcut learning (2) generative model (2) natural language inference (2) sentiment classification (2) image generation (2) domain generalization (2) visual question answering (2) data augmentation (2) contrastive learning (2) sentiment analysis (2) object detection (2) language model (2)

Papers

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval AAAI 2025
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling ICCV 2025
Hymba: A Hybrid-head Architecture for Small Language Models ICLR 2025
LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement ICLR 2025
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models ICML 2025
Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance EMNLP 2025
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder AAAI 2025
Segment Every Out-of-Distribution Object CVPR 2024
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning ICLR 2024
A Simple Background Augmentation Method for Object Detection with Diffusion Model ECCV 2024
Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection ECCV 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks CVPR 2024
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NIPS 2023
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation AAAI 2023
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning CVPR 2023
Assessing Combinational Generalization of Language Models in Biased Scenarios IJCNLP 2022
Assessing Combinational Generalization of Language Models in Biased Scenarios AACL 2022
Dressing in the Wild by Watching Dance Videos CVPR 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems CVPR 2022
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022
SphereFed: Hyperspherical Federated Learning ECCV 2022
Data Augmentation with Adversarial Training for Cross-Lingual NLI ACL 2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing ICCV 2021
Data Augmentation with Adversarial Training for Cross-Lingual NLI IJCNLP 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration ICML 2021
Multi-Task Recurrent Modular Networks AAAI 2021
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks ICLR 2020
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources EMNLP 2020
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020
Domain-Specific Sentiment Lexicons Induced from Labeled Documents COLING 2020
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs AAAI 2020
RTN: Reparameterized Ternary Network AAAI 2020
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks CVPR 2019
Pose2Seg: Detection Free Human Instance Segmentation CVPR 2019
A Robust Self-Learning Framework for Cross-Lingual Text Classification EMNLP 2019
A Robust Self-Learning Framework for Cross-Lingual Text Classification IJCNLP 2019
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019
A Helping Hand: Transfer Learning for Deep Sentiment Analysis ACL 2018
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon NIPS 2017