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Xin Dong

42 papers · 2017–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
🐝 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) ACL (5) ICLR (4) 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) Yonggan Fu (3) Xiaodan Liang (3) Dongkuan Xu (3) Lingjuan Lyu (3) Pavlo Molchanov (3) Yingyan Celine Lin (3)

Keywords

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

Papers

IPS: In-Prompt Process Supervision for Short Video Content Moderation ACL 2026 RADAR: Risk-Aware Distilled Adaptive Routing for Efficient Short-Form Video Platform Ecosystem Governance ACL 2026 LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement ICLR 2025 LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models ICML 2025 DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder AAAI 2025 DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval AAAI 2025 Hymba: A Hybrid-head Architecture for Small Language Models ICLR 2025 INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling ICCV 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance EMNLP 2025 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 The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning ICLR 2024 Segment Every Out-of-Distribution Object CVPR 2024 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NIPS 2023 GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning CVPR 2023 REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation AAAI 2023 Dressing in the Wild by Watching Dance Videos CVPR 2022 Assessing Combinational Generalization of Language Models in Biased Scenarios IJCNLP 2022 Assessing Combinational Generalization of Language Models in Biased Scenarios AACL 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 A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration ICML 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 ACL 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Data Augmentation with Adversarial Training for Cross-Lingual NLI IJCNLP 2021 Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks ICLR 2020 ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs AAAI 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 RTN: Reparameterized Ternary Network AAAI 2020 exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources EMNLP 2020 Domain-Specific Sentiment Lexicons Induced from Labeled Documents COLING 2020 A Robust Self-Learning Framework for Cross-Lingual Text Classification EMNLP 2019 Pose2Seg: Detection Free Human Instance Segmentation CVPR 2019 Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019 A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks CVPR 2019 A Robust Self-Learning Framework for Cross-Lingual Text Classification IJCNLP 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