Ligong Han

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 49

Top Topics

Pairwise Comparison

Domain Adaptation

Diffusion Models

Cancer Diagnosis

Top Venues

Publications

Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR (2024)
Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
Implicit In-context Learning. CoRR (2024)
Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas
Score-Guided Diffusion for 3D Human Recovery. CoRR (2024)
Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR (2024)
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV (2024)
Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR (2024)
Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV (2024)
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CVPR (2023)
Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images. CoRR (2023)
Qi Chen, Changjian Shui, Ligong Han, Mario Marchand
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm. NeurIPS (2023)
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR (2023)
Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas
Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images. CVPR (2023)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. Trans. Mach. Learn. Res. 2023 (2023)
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. CoRR (2023)
Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas
Improving Negative-Prompt Inversion via Proximal Guidance. CoRR (2023)
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. ICCV (2023)
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease
Learning Complementary Policies for Human-AI Teams. CoRR (2023)
Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. CoRR (2023)
Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. MICCAI (7) (2023)
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CoRR (2022)
Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CVPR (2022)
Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
Enhancing Counterfactual Classification Performance via Self-Training. AAAI (2022)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
On the Importance of Calibration in Semi-supervised Learning. CoRR (2022)
Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. ECCV (26) (2022)
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
Diffusion Guided Domain Adaptation of Image Generators. CoRR (2022)
Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. MICCAI (4) (2022)
Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CoRR (2022)
Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. WACV (2022)
Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning. CoRR (2022)
Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. MICCAI (5) (2022)
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
Human-AI Collaboration with Bandit Feedback. IJCAI (2021)
Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
Enhancing Counterfactual Classification via Self-Training. CoRR (2021)
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
Human-AI Collaboration with Bandit Feedback. CoRR (2021)
Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
Dual Projection Generative Adversarial Networks for Conditional Image Generation. ICCV (2021)
Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
Disentangled Recurrent Wasserstein Autoencoder. CoRR (2021)
Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
Disentangled Recurrent Wasserstein Autoencoder. ICLR (2021)
Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. CoRR (2021)
Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
Dual Projection Generative Adversarial Networks for Conditional Image Generation. CoRR (2021)
Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI (2020)
Ligong Han, Robert F. Murphy, Deva Ramanan
Learning Generative Models of Tissue Organization with Supervised GANs. CoRR (2020)
Ligong Han, Anastasis Stathopoulos, Tao Xue, Dimitris N. Metaxas
Unbiased Auxiliary Classifier GANs with MINE. CoRR (2020)
Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR (2019)
Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas
Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops (2019)
Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas
Unsupervised Domain Adaptation via Calibrating Uncertainties. CoRR (2019)
Ligong Han, Robert F. Murphy, Deva Ramanan
Learning Generative Models of Tissue Organization with Supervised GANs. WACV (2018)
T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides
Deep contextual recurrent residual networks for scene labeling. Pattern Recognit. 80 (2018)
Ligong Han, T. Hoang Ngan Le, Marios Savvides
An automatic cells detection and segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan K. Pal
Deep Contextual Recurrent Residual Networks for Scene Labeling. CoRR (2017)
Chi Liu, Yue Huang, Ligong Han, John A. Ozolek, Gustavo K. Rohde
Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis. LABELS/DLMIA@MICCAI (2016)