Chongyang Gao

According to our database, Chongyang Gao authored at least 42 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Classroom Final Exam: An Instructor-Tested Reasoning Benchmark.

Chongyang Gao, Diji Yang, Shuyan Zhou, Xichen Yan, Luchuan Song, Shuo Li, Kezhen Chen

CoRR, February, 2026

Exploiting Label-Independent Regularization from Spatial Dependencies for Whole Slide Image Analysis.

Weiyi Wu, Xinwen Xu, Chongyang Gao, Xingjian Diao, Siting Li, Jiang Gui

CoRR, February, 2026

Context and Transcripts Improve Detection of Deepfake Audios of Public Figures.

Chongyang Gao, Marco Postiglione, Julian Baldwin, Natalia Denisenko, Isabel Gortner, Luke Fosdick, Chiara Pulice, Sarit Kraus, V. S. Subrahmanian

CoRR, January, 2026

The Microsoft-Northwestern-WITNESS Benchmark for Deepfake Detection.

Thomas Roca, Marco Postiglione, Chongyang Gao, Isabel Gortner, Zuzanna Wojciak, Pengce Wang, Mahsa Alimardani, Shirin Anlen, Kevin White, Juan M. Lavista Ferres, Sarit Kraus, Sam Gregory, V. S. Subrahmanian, San Murugesan

IEEE Intell. Syst., 2026

Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis.

Weiyi Wu, Xinwen Xu, Chongyang Gao, Xingjian Diao, Siting Li, Jiang Gui

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language.

Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, Chiang-Wei Fang, Zeyu Zheng, Jie Yang

CoRR, December, 2025

Beyond Sharp Minima: Robust LLM Unlearning via Feedback-Guided Multi-Point Optimization.

Wenhan Wu, Zheyuan Liu, Chongyang Gao, Ren Wang, Kaize Ding

CoRR, September, 2025

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning.

Weitao Feng, Lixu Wang, Tianyi Wei, Jie Zhang, Chongyang Gao, Sinong Zhan, Peizhuo Lv, Wei Dong

CoRR, August, 2025

Perturbed Public Voices (P²V): A Dataset for Robust Audio Deepfake Detection.

Chongyang Gao, Marco Postiglione, Isabel Gortner, Sarit Kraus, V. S. Subrahmanian

CoRR, August, 2025

A Nonpartisan Study of Visual Deepfake Activity and Engagement Around the 2024 US Presidential Election.

Marco Postiglione, Isabel Gortner, Luke Fosdick, Chongyang Gao, Sarit Kraus, V. S. Subrahmanian

Dataset, May, 2025

Context and Transcripts Improve Detection of Deepfake Audios.

Chongyang Gao, Marco Postiglione, Julian Baldwin, Natalia Denisenko, Luke Fosdick, Isabel Gortner, Chiara Pulice, Sarit Kraus, Venkatramanan Siva Subrahmanian

Dataset, April, 2025

MoLA: MoE LoRA with Layer-wise Expert Allocation.

Chongyang Gao, Kezhen Chen, Jinmeng Rao, Ruibo Liu, Baochen Sun, Yawen Zhang, Daiyi Peng, Xiaoyuan Guo, V. S. Subrahmanian

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

On Large Language Model Continual Unlearning.

Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models.

Weiyi Wu, Xinwen Xu, Chongyang Gao, Xingjian Diao, Siting Li, Lucas A. Salas, Jiang Gui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

GODDS: The Global Online Deepfake Detection System.

Marco Postiglione, Julian Baldwin, Natalia Denisenko, Luke Fosdick, Chongyang Gao, Isabel Gortner, Chiara Pulice, Sarit Kraus, V. S. Subrahmanian

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

${\sf FakeDB}$FakeDB: Generating Fake Synthetic Databases.

Chongyang Gao, Sushil Jajodia, Andrea Pugliese, V. S. Subrahmanian

IEEE Trans. Dependable Secur. Comput., 2024

Practical Unlearning for Large Language Models.

Chongyang Gao, Lixu Wang, Chenkai Weng, Xiao Wang, Qi Zhu

CoRR, 2024

Memory-Efficient Sparse Pyramid Attention Networks for Whole Slide Image Analysis.

Weiyi Wu, Chongyang Gao, Xinwen Xu, Siting Li, Jiang Gui

CoRR, 2024

Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models.

Yuhang Huang, Zihan Wu, Chongyang Gao, Jiawei Peng, Xu Yang

CoRR, 2024

Higher Layers Need More LoRA Experts.

Chongyang Gao, Kezhen Chen, Jinmeng Rao, Baochen Sun, Ruibo Liu, Daiyi Peng, Yawen Zhang, Xiaoyuan Guo, Jie Yang, V. S. Subrahmanian

CoRR, 2024

Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks.

Lili Wang, Chenghan Huang, Ruiye Yao, Chongyang Gao, Weicheng Ma, Soroush Vosoughi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GEM: Generating Engaging Multimodal Content.

Chongyang Gao, Yiren Jian, Natalia Denisenko, Soroush Vosoughi, V. S. Subrahmanian

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task.

Yiren Jian, Chongyang Gao, Chen Zeng, Yunjie Zhao, Soroush Vosoughi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality.

Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How to Configure Good In-Context Sequence for Visual Question Answering.

Li Li, Jiawei Peng, Huiyi Chen, Chongyang Gao, Xu Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Linking Terrorist Network Structure to Lethality: Algorithms and Analysis of Al Qaeda and ISIS.

Youdinghuan Chen, Chongyang Gao, Daveed Gartenstein-Ross, Kevin T. Greene, Karin Kalif, Sarit Kraus, Francesco Parisi, Chiara Pulice, Anja Subasic, V. S. Subrahmanian

IEEE Trans. Comput. Soc. Syst., October, 2023

Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning.

Xu Yang, Hanwang Zhang, Chongyang Gao, Jianfei Cai

Int. J. Comput. Vis., 2023

Joint Latent Topic Discovery and Expectation Modeling for Financial Markets.

Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, Soroush Vosoughi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Bootstrapping Vision-Language Learning with Decoupled Language Pre-training.

Yiren Jian, Chongyang Gao, Soroush Vosoughi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Representation Learning for Histopathologic Images with Cluster Constraints.

Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings.

Yiren Jian, Chongyang Gao, Soroush Vosoughi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Learning for Prompt-based Few-shot Language Learners.

Yiren Jian, Chongyang Gao, Soroush Vosoughi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Embedding Hallucination for Few-shot Language Fine-tuning.

Yiren Jian, Chongyang Gao, Soroush Vosoughi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Trans-GAN network for image super-resolution reconstruction.

Yan Dong, Xiaoyang Xu, Chongyang Gao

Proceedings of the IEEE International Conference on Signal Processing, 2022

Knowledge Infused Decoding.

Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, Chongyang Gao, Soroush Vosoughi, Milad Shokouhi, Ahmed Hassan Awadallah

Proceedings of the Tenth International Conference on Learning Representations, 2022

Non-Parallel Text Style Transfer with Self-Parallel Supervision.

Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

MetaPix: Domain transfer for semantic segmentation by meta pixel weighting.

Yiren Jian, Chongyang Gao

Image Vis. Comput., 2021

Auto-Parsing Network for Image Captioning and Visual Question Answering.

Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path.

Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sequence in sequence for video captioning.

Huiyun Wang, Chongyang Gao, Yahong Han

Pattern Recognit. Lett., 2020

Hierarchical Scene Graph Encoder-Decoder for Image Paragraph Captioning.

Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data.

Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020