← Authors

Rong Zhang

22 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) πŸ‘₯ Mega-Team (36) 🧬 Topic Evolution πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (21) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (119) πŸ“ˆ Trend Setter

Conferences

EMNLP (6) AAAI (3) ACL (3) CVPR (2) NIPS (2) ACML (1) COLING (1) ICCV (1) ICLR (1) IJCAI (1) INTERSPEECH (1)

Top co-authors

YueFeng Chen (6) Yao Zhu (5) hui xue (5) Avi Sil (4) Weiwei Xu (3) Xiaofeng Mao (3) Xiaodan Li (3) Hui Xue' (3) Vittorio Castelli (3) Radu Florian (3)

Keywords

adversarial training (4) information retrieval (3) question answering (3) domain adaptation (3) image classification (2) video generation (2) large language model (2) diffusion model (2) benchmark dataset (2) object detection (2) data augmentation (2) natural language processing (2) text classification (2) machine reading comprehension (2) named entity recognition (2) language model (2) opinion mining (1) adversarial robustness (1) feature extraction (1) multi-task learning (1)

Papers

FashionMAC: Deformation-Free Fashion Image Generation with Fine-Grained Model Appearance Customization AAAI 2026
AnimateAnything: Consistent and Controllable Animation for Video Generation CVPR 2025
MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation IJCAI 2024
Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method AAAI 2024
INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024
Muted: Multilingual Targeted Offensive Speech Identification and Visualization EMNLP 2023
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development ACL 2023
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats ICLR 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts ICCV 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training INTERSPEECH 2023
Enhance the Visual Representation via Discrete Adversarial Training NIPS 2022
Boosting Out-of-distribution Detection with Typical Features NIPS 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022
Counterfactual Adversarial Learning with Representation Interpolation EMNLP 2021
Answer Span Correction in Machine Reading Comprehension EMNLP 2020
Multi-Stage Pre-training for Low-Resource Domain Adaptation EMNLP 2020
Enhancing Neural Models with Vulnerability via Adversarial Attack COLING 2020
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction ACL 2020
The TechQA Dataset ACL 2020
AutoRemover: Automatic Object Removal for Autonomous Driving Videos AAAI 2020
Enhancing Topic Modeling on Short Texts with Crowdsourcing ACML 2016