Ligong Han - RankMe

83 papers A* 18A 5Journal 50Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. AAAI Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang
2026	A*	`conf`	Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning. AAAI Yanshu Li, Jianjiang Yang, Ziteng Yang, Bozheng Li, Ligong Han, Hongyang He, Zhengtao Yao, Yingjie Victor Chen, Songlin Fei, Dongfang Liu, Ruixiang Tang
2026	J	`jnl`	Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. CoRR Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas
2026	J	`jnl`	S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation. CoRR Ligong Han, Hao Wang, Han Gao, Kai Xu, Akash Srivastava
2026	J	`jnl`	T3D: Few-Step Diffusion Language Models via Trajectory Self-Distillation with Direct Discriminative Optimization. CoRR Tunyu Zhang, Xinxi Zhang, Ligong Han, Haizhou Shi, Xiaoxiao He, Zhuowei Li, Hao Wang, Kai Xu, Akash Srivastava, Hao Wang, Vladimir Pavlovic, Dimitris N. Metaxas
2025	—	`conf`	APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. WWW (Companion Volume) Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
2025	J	`jnl`	CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. CoRR Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang
2025	J	`jnl`	Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI? CoRR Qipan Xu, Zhenting Wang, Xiaoxiao He, Ligong Han, Ruixiang Tang
2025	J	`jnl`	Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing. CoRR Quan Dao, Xiaoxiao He, Ligong Han, Ngan Hoai Nguyen, Amin Heyrani Nobari, Faez Ahmed, Han Zhang, Viet Anh Nguyen, Dimitris N. Metaxas
2025	J	`jnl`	Flow Straighter and Faster: Efficient One-Step Generative Modeling via MeanFlow on Rectified Trajectories. CoRR Xinxi Zhang, Shiwei Tan, Quang Nguyen, Quan Dao, Ligong Han, Xiaoxiao He, Tunyu Zhang, Alen Mrdovic, Dimitris N. Metaxas
2025	—	`conf`	Hopscotch: Discovering and Skipping Redundancies in Language Models. EMNLP (Findings) Mustafa Eyceoz, Nikhil Shivakumar Nayak, Hao Wang, Ligong Han, Akash Srivastava
2025	J	`jnl`	Hopscotch: Discovering and Skipping Redundancies in Language Models. CoRR Mustafa Eyceoz, Nikhil Shivakumar Nayak, Hao Wang, Ligong Han, Akash Srivastava
2025	A*	`conf`	Implicit In-context Learning. ICLR Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
2025	A*	`conf`	LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. ICLR Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas
2025	J	`jnl`	LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. CoRR Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas
2025	A*	`conf`	MLLM-as-a-Judge for Image Safety without Human Labeling. CVPR Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain
2025	J	`jnl`	MLLM-as-a-Judge for Image Safety without Human Labeling. CoRR Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain
2025	J	`jnl`	M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark. CoRR Yang Zhou, Mingyu Zhao, Zhenting Wang, Difei Gu, Bangwei Guo, Ruosong Ye, Ligong Han, Can Jin, Dimitris N. Metaxas
2025	J	`jnl`	Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization. CoRR Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard, Ligong Han, Faez Ahmed
2025	J	`jnl`	PrefGen: Multimodal Preference Learning for Preference-Conditioned Image Generation. CoRR Wenyi Mo, Tianyu Zhang, Yalong Bai, Ligong Han, Ying Ba, Dimitris N. Metaxas
2025	—	`conf`	Rate-My-LoRA: EFFICIENT AND ADAPTIVE FEDERATED MODEL TUNING FOR CARDIAC MRI SEGMENTATION. ISBI Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas
2025	J	`jnl`	Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation. CoRR Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas
2025	A	`conf`	SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models. WACV Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Vladimir Pavlovic, Hao Wang, Molei Tao, Dimitris N. Metaxas
2025	J	`jnl`	SQuat: Subspace-orthogonal KV Cache Quantization. CoRR Hao Wang, Ligong Han, Kai Xu, Akash Srivastava
2025	J	`jnl`	Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning. CoRR Nikhil Shivakumar Nayak, Krishnateja Killamsetty, Ligong Han, Abhishek Bhandwaldar, Prateek Chanda, Kai Xu, Hao Wang, Aldo Pareja, Oleg Silkin, Mustafa Eyceoz, Akash Srivastava
2025	J	`jnl`	Token-Level Uncertainty Estimation for Large Language Model Reasoning. CoRR Tunyu Zhang, Haizhou Shi, Yibin Wang, Hengyi Wang, Xiaoxiao He, Zhuowei Li, Haoxian Chen, Ligong Han, Kai Xu, Huan Zhang, Dimitris N. Metaxas, Hao Wang
2025	J	`jnl`	Towards Generalizable Implicit In-Context Learning with Attention Routing. CoRR Jiaqian Li, Yanshu Li, Ligong Han, Ruixiang Tang, Wenya Wang
2025	A*	`conf`	Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs. ICLR 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
2025	J	`jnl`	Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS. CoRR Can Jin, Yang Zhou, Qixin Zhang, Hongwu Peng, Di Zhang, Marco Pavone, Ligong Han, Zhang-Wei Hong, Tong Che, Dimitris N. Metaxas
2024	J	`jnl`	APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
2024	A*	`conf`	BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. NeurIPS Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang
2024	J	`jnl`	BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang
2024	J	`jnl`	DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. CoRR 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
2024	J	`jnl`	Implicit In-context Learning. CoRR Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
2024	A	`conf`	ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV 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
2024	A*	`conf`	Score-Guided Diffusion for 3D Human Recovery. CVPR Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas
2024	J	`jnl`	Score-Guided Diffusion for 3D Human Recovery. CoRR Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas
2024	J	`jnl`	Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas
2024	A	`conf`	StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
2024	J	`jnl`	Training-Free Bayesianization for Low-Rank Adapters of Large Language Models. CoRR Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang
2024	J	`jnl`	Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs. CoRR 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
2023	J	`jnl`	Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
2023	—	`conf`	DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. MICCAI (7) Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas
2023	J	`jnl`	DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. CoRR Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas
2023	J	`jnl`	Improving Tuning-Free Real Image Editing with Proximal Guidance. CoRR 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
2023	A*	`conf`	Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images. CVPR Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas
2023	J	`jnl`	Learning Articulated Shape with Keypoint Pseudo-labels from Web Images. CoRR Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas
2023	J	`jnl`	Learning Complementary Policies for Human-AI Teams. CoRR Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease
2023	J	`jnl`	Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. Trans. Mach. Learn. Res. Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2023	A*	`conf`	On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm. NeurIPS Qi Chen, Changjian Shui, Ligong Han, Mario Marchand
2023	A*	`conf`	SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CVPR Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren
2023	A*	`conf`	SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. ICCV Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang
2023	J	`jnl`	SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. CoRR Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang
2022	A	`conf`	AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. WACV Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
2022	J	`jnl`	Diffusion Guided Domain Adaptation of Image Generators. CoRR Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
2022	A*	`conf`	Enhancing Counterfactual Classification Performance via Self-Training. AAAI Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
2022	J	`jnl`	Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning. CoRR Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas
2022	—	`conf`	Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. ECCV (26) Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas
2022	J	`jnl`	On the Importance of Calibration in Semi-supervised Learning. CoRR Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2022	—	`conf`	Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. MICCAI (4) 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
2022	J	`jnl`	SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CoRR Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren
2022	A*	`conf`	Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CVPR Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov
2022	J	`jnl`	Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CoRR Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov
2022	—	`conf`	TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. MICCAI (5) Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas
2021	J	`jnl`	AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. CoRR Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
2021	A*	`conf`	Disentangled Recurrent Wasserstein Autoencoder. ICLR Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
2021	J	`jnl`	Disentangled Recurrent Wasserstein Autoencoder. CoRR Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
2021	A*	`conf`	Dual Projection Generative Adversarial Networks for Conditional Image Generation. ICCV Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
2021	J	`jnl`	Dual Projection Generative Adversarial Networks for Conditional Image Generation. CoRR Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
2021	J	`jnl`	Enhancing Counterfactual Classification via Self-Training. CoRR Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
2021	A*	`conf`	Human-AI Collaboration with Bandit Feedback. IJCAI Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
2021	J	`jnl`	Human-AI Collaboration with Bandit Feedback. CoRR Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
2020	J	`jnl`	Learning Generative Models of Tissue Organization with Supervised GANs. CoRR Ligong Han, Robert F. Murphy, Deva Ramanan
2020	A*	`conf`	Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
2020	J	`jnl`	Unbiased Auxiliary Classifier GANs with MINE. CoRR Ligong Han, Anastasis Stathopoulos, Tao Xue, Dimitris N. Metaxas
2019	J	`jnl`	Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas
2019	—	`conf`	Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas
2019	J	`jnl`	Unsupervised Domain Adaptation via Calibrating Uncertainties. CoRR Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas
2018	J	`jnl`	Deep contextual recurrent residual networks for scene labeling. Pattern Recognit. T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides
2018	A	`conf`	Learning Generative Models of Tissue Organization with Supervised GANs. WACV Ligong Han, Robert F. Murphy, Deva Ramanan
2017	—	`conf`	An automatic cells detection and segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging Ligong Han, T. Hoang Ngan Le, Marios Savvides
2017	J	`jnl`	Deep Contextual Recurrent Residual Networks for Scene Labeling. CoRR T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan K. Pal
2016	—	`conf`	Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis. LABELS/DLMIA@MICCAI Chi Liu, Yue Huang, Ligong Han, John A. Ozolek, Gustavo K. Rohde