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2020 – today
- 2024
[c22]Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas:
Score-Guided Diffusion for 3D Human Recovery. CVPR 2024: 906-915- [c21]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: 4279-4289 - [c20]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV 2024: 5441-5451 - [i28]Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas:
Score-Guided Diffusion for 3D Human Recovery. CoRR abs/2403.09623 (2024) - [i27]Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas:
Implicit In-context Learning. CoRR abs/2405.14660 (2024) - [i26]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 abs/2405.21050 (2024) - [i25]Yibin Wang
, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang:
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR abs/2406.11675 (2024) - [i24]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 abs/2406.14449 (2024) - [i23]Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris N. Metaxas:
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. CoRR abs/2410.08207 (2024) - [i22]Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava:
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs. CoRR abs/2412.13337 (2024) - 2023
- [j2]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) - [c19]Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren:
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CVPR 2023: 6027-6037 - [c18]Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas:
Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images. CVPR 2023: 13092-13101 - [c17]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. ICCV 2023: 7289-7300 - [c16]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: 132-142 - [c15]Qi Chen, Changjian Shui, Ligong Han, Mario Marchand:
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm. NeurIPS 2023 - [i21]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 abs/2302.02944 (2023) - [i20]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. CoRR abs/2303.11305 (2023) - [i19]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 abs/2304.00601 (2023) - [i18]Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas:
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images. CoRR abs/2304.14396 (2023) - [i17]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 Tuning-Free Real Image Editing with Proximal Guidance. CoRR abs/2306.05414 (2023) - [i16]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 abs/2308.09223 (2023) - 2022
- [c14]Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han:
Enhancing Counterfactual Classification Performance via Self-Training. AAAI 2022: 6665-6673 - [c13]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: 3605-3615 - [c12]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: 185-202 - [c11]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: 129-139 - [c10]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: 485-495 - [c9]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: 955-964 - [i15]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 abs/2203.02573 (2022) - [i14]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 abs/2207.09644 (2022) - [i13]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 abs/2210.04783 (2022) - [i12]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
Diffusion Guided Domain Adaptation of Image Generators. CoRR abs/2212.04473 (2022) - [i11]Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren:
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CoRR abs/2212.04489 (2022) - 2021
- [c8]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: 14418-14427 - [c7]Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang:
Disentangled Recurrent Wasserstein Autoencoder. ICLR 2021 - [c6]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. IJCAI 2021: 1722-1728 - [i10]Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang:
Disentangled Recurrent Wasserstein Autoencoder. CoRR abs/2101.07496 (2021) - [i9]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. CoRR abs/2105.10614 (2021) - [i8]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 abs/2108.09016 (2021) - [i7]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 abs/2110.08718 (2021) - [i6]Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han:
Enhancing Counterfactual Classification via Self-Training. CoRR abs/2112.04461 (2021) - 2020
- [c5]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI 2020: 10909-10916 - [i5]Ligong Han, Robert F. Murphy, Deva Ramanan:
Learning Generative Models of Tissue Organization with Supervised GANs. CoRR abs/2004.00140 (2020) - [i4]Ligong Han, Anastasis Stathopoulos, Tao Xue, Dimitris N. Metaxas:
Unbiased Auxiliary Classifier GANs with MINE. CoRR abs/2006.07567 (2020)
2010 – 2019
- 2019
- [c4]Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops 2019: 99-102 - [i3]Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. CoRR abs/1907.11202 (2019) - [i2]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR abs/1911.09298 (2019) - 2018
- [j1]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: 32-41 (2018) - [c3]Ligong Han, Robert F. Murphy, Deva Ramanan:
Learning Generative Models of Tissue Organization with Supervised GANs. WACV 2018: 682-690 - 2017
- [c2]Ligong Han, T. Hoang Ngan Le, Marios Savvides:
An automatic cells detection and segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370W - [i1]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 abs/1704.03594 (2017) - 2016
- [c1]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: 219-227
Coauthor Index
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