An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. - Lili Wang; Chongyang Gao; Jason Wei; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (W-NUT@EMNLP, 2020)

Hierarchical Scene Graph Encoder-Decoder for Image Paragraph Captioning. - Xu Yang 021; Chongyang Gao; Hanwang Zhang; Jianfei Cai 001 (ACM Multimedia, 2020)

Sequence in sequence for video captioning. - Huiyun Wang; Chongyang Gao; Yahong Han (Pattern Recognit. Lett., 2020)

Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. - Lili Wang; Chongyang Gao; Chenghan Huang; Ruibo Liu; Weicheng Ma; Soroush Vosoughi (AAAI, 2021)

Auto-Parsing Network for Image Captioning and Visual Question Answering. - Xu Yang 021; Chongyang Gao; Hanwang Zhang; Jianfei Cai 001 (ICCV, 2021)

MetaPix: Domain transfer for semantic segmentation by meta pixel weighting. - Yiren Jian; Chongyang Gao (Image Vis. Comput., 2021)

Non-Parallel Text Style Transfer with Self-Parallel Supervision. - Ruibo Liu; Chongyang Gao; Chenyan Jia; Guangxuan Xu; Soroush Vosoughi (ICLR, 2022)

Knowledge Infused Decoding. - Ruibo Liu; Guoqing Zheng; Shashank Gupta; Radhika Gaonkar; Chongyang Gao; Soroush Vosoughi; Milad Shokouhi; Ahmed Hassan Awadallah (ICLR, 2022)

Trans-GAN network for image super-resolution reconstruction. - Yan Dong; Xiaoyang Xu; Chongyang Gao (ICSPCC, 2022)

Embedding Hallucination for Few-shot Language Fine-tuning. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NAACL-HLT, 2022)

Contrastive Learning for Prompt-based Few-shot Language Learners. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NAACL-HLT, 2022)

Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NeurIPS, 2022)

Improving Representation Learning for Histopathologic Images with Cluster Constraints. - Weiyi Wu; Chongyang Gao; Joseph DiPalma; Soroush Vosoughi; Saeed Hassanpour (ICCV, 2023)

Bootstrapping Vision-Language Learning with Decoupled Language Pre-training. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NeurIPS, 2023)

Joint Latent Topic Discovery and Expectation Modeling for Financial Markets. - Lili Wang; Chenghan Huang; Chongyang Gao; Weicheng Ma; Soroush Vosoughi (PAKDD (3), 2023)

Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning. - Xu Yang 021; Hanwang Zhang; Chongyang Gao; Jianfei Cai 001 (Int. J. Comput. Vis., 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., 2023)

How to Configure Good In-Context Sequence for Visual Question Answering. - Li Li; Jiawei Peng; Huiyi Chen; Chongyang Gao; Xu Yang 021 (CVPR, 2024)

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. - Peijun Qing; Chongyang Gao; Yefan Zhou; Xingjian Diao; Yaoqing Yang; Soroush Vosoughi (EMNLP, 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 (ICPR (10), 2024)

GEM: Generating Engaging Multimodal Content. - Chongyang Gao; Yiren Jian; Natalia Denisenko; Soroush Vosoughi; V. S. Subrahmanian (IJCAI, 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 (PAKDD (2), 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)

Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models. - Yuhang Huang; Zihan Wu; Chongyang Gao; Jiawei Peng; Xu Yang 021 (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)

Practical Unlearning for Large Language Models. - Chongyang Gao; Lixu Wang; Chenkai Weng; Xiao Wang; Qi Zhu (CoRR, 2024)

${ sf FakeDB}$FakeDB: Generating Fake Synthetic Databases. - Chongyang Gao; Sushil Jajodia; Andrea Pugliese 001; V. S. Subrahmanian (IEEE Trans. Dependable Secur. Comput., 2024)

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 (AAAI, 2025)

On Large Language Model Continual Unlearning. - Chongyang Gao; Lixu Wang; Kaize Ding; Chenkai Weng; Xiao Wang; Qi Zhu (ICLR, 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 (NAACL (Findings), 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 (CoRR, 2025)

Perturbed Public Voices (P2V): A Dataset for Robust Audio Deepfake Detection. - Chongyang Gao; Marco Postiglione; Isabel Gortner; Sarit Kraus; V. S. Subrahmanian (CoRR, 2025)