Crowd Counting on Images with Scale Variation and Isolated Clusters. - Haoyue Bai 001; Song Wen 001; S.-H. Gary Chan (ICCV Workshops, 2019)

Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty. - Jierun Chen; Song Wen 001; S.-H. Gary Chan (AAAI, 2021)

Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification. - Haoyue Bai 001; Song Wen 001; S.-H. Gary Chan (CoRR, 2021)

Learning Interacting Dynamic Systems with Neural Ordinary Differential Equations. - Song Wen 001; Hao Wang 014; Dimitris N. Metaxas (DDDAS, 2022)

Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations. - Song Wen 001; Hao Wang 014; Dimitris N. Metaxas (ECCV (22), 2022)

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. - Di Liu 003; Yunhe Gao; Qilong Zhangli; Ligong Han; Xiaoxiao He; Zhaoyang Xia; Song Wen 001; Qi Chang; Zhennan Yan; Mu Zhou; Dimitris N. Metaxas (MICCAI (5), 2022)

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. - Qilong Zhangli; Jingru Yi; Di Liu 003; Xiaoxiao He; Zhaoyang Xia; Qi Chang; Ligong Han; Yunhe Gao; Song Wen 001; Haiming Tang; He Wang 016; Mu Zhou; et al. (MICCAI (4), 2022)

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks. - Jierun Chen; Shiu-Hong Kao; Hao He 011; Weipeng Zhuo; Song Wen 001; Chul-Ho Lee; S.-H. Gary Chan (CVPR, 2023)

Improving Tuning-Free Real Image Editing with Proximal Guidance. - Ligong Han; Song Wen 001; Qi Chen; Zhixing Zhang; Kunpeng Song; Mengwei Ren; Ruijiang Gao; Yuxiao Chen 002; Di Liu 003; Qilong Zhangli; Anastasis Stathopoulos; Jindong Jiang; et al. (CoRR, 2023)

Improving Compositional Text-to-image Generation with Large Vision-Language Models. - Song Wen 001; Guian Fang; Renrui Zhang; Peng Gao 007; Hao Dong 003; Dimitris N. Metaxas (CoRR, 2023)

Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting. - Song Wen 001; Hao Wang 014; Di Liu 003; Qilong Zhangli; Dimitris N. Metaxas (WACV, 2024)

ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. - Ligong Han; Song Wen 001; Qi Chen; Zhixing Zhang; Kunpeng Song; Mengwei Ren; Ruijiang Gao; Anastasis Stathopoulos; Xiaoxiao He; Yuxiao Chen 002; Di Liu 003; Qilong Zhangli; et al. (WACV, 2024)

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. - Xinxi Zhang; Song Wen 001; Ligong Han; Felix Juefei-Xu; Akash Srivastava; Junzhou Huang; Hao Wang 014; Molei Tao; Dimitris N. Metaxas (CoRR, 2024)

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. - Xiaoxiao He; Ligong Han; Quan Dao; Song Wen 001; Minhao Bai; Di Liu 003; Han Zhang 010; Martin Renqiang Min; Felix Juefei-Xu; Chaowei Tan; Bo Liu 005; Kang Li 004; et al. (CoRR, 2024)

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation. - Maitreya Patel; Song Wen 001; Dimitris N. Metaxas; Yezhou Yang (CoRR, 2024)

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis. - Yao Ni; Song Wen 001; Piotr Koniusz; Anoop Cherian (CVPR Workshops, 2025)

Implicit In-context Learning. - Zhuowei Li 002; Zihao Xu 001; Ligong Han; Yunhe Gao; Song Wen 001; Di Liu 003; Hao Wang 014; Dimitris N. Metaxas (ICLR, 2025)

SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models. - Xinxi Zhang; Song Wen 001; Ligong Han; Felix Juefei-Xu; Akash Srivastava; Junzhou Huang; Vladimir Pavlovic 001; Hao Wang 014; Molei Tao; Dimitris N. Metaxas (WACV, 2025)