Hao Chen - RankMe

87 papers A* 19A 1Journal 61Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models. CoRR Yihao Liang, Ze Wang, Hao Chen, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Emad Barsoum, Zicheng Liu, Niraj K. Jha
2026	A*	`conf`	Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions? AAAI Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Jingchen Sun, Wensheng Zhang
2026	J	`jnl`	Learning from Online Videos at Inference Time for Computer-Use Agents. Trans. Mach. Learn. Res. Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang
2026	J	`jnl`	Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning. CoRR Zhikun Xu, Xiaodong Yu, Ben Zhou, Jiang Liu, Jialian Wu, Ze Wang, Ximeng Sun, Hao Chen, Zicheng Liu
2026	J	`jnl`	Uniformity Preserving Transfer for Visual Prompt Tuning under Long-tailed Distribution. Int. J. Comput. Vis. Jiahao Chen, Hao Chen, Bin Qin, Jiangmeng Li, Jindong Wang, Bing Su
2025	J	`jnl`	APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation. CoRR Yuzhen Zhou, Jiajun Li, Yusheng Su, Gowtham Ramesh, Zilin Zhu, Xiang Long, Chenyang Zhao, Jin Pan, Xiaodong Yu, Ze Wang, Kangrui Du, Jialian Wu, Ximeng Sun, Jiang Liu, Qiaolin Yu, Hao Chen, Zicheng Liu, Emad Barsoum
2025	—	`conf`	CAARMA: Class Augmentation with Adversarial Mixup Regularization. EMNLP (Findings) Massa Baali, Xiang Li, Hao Chen, Syed Abdul Hannan, Rita Singh, Bhiksha Raj
2025	J	`jnl`	CAARMA: Class Augmentation with Adversarial Mixup Regularization. CoRR Massa Baali, Xiang Li, Hao Chen, Rita Singh, Bhiksha Raj
2025	J	`jnl`	Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation. CoRR Chika Maduabuchi, Hao Chen, Yujin Han, Jindong Wang
2025	J	`jnl`	Image Tokenizer Needs Post-Training. CoRR Kai Qiu, Xiang Li, Hao Chen, Jason Kuen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, Marios Savvides
2025	J	`jnl`	ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning. CoRR Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum
2025	A*	`conf`	ImageFolder: Autoregressive Image Generation with Folded Tokens. ICLR Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin
2025	J	`jnl`	Impact of Noisy Supervision in Foundation Model Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hao Chen, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj, Jindong Wang
2025	J	`jnl`	Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation. CoRR Ze Wang, Hao Chen, Benran Hu, Jiang Liu, Ximeng Sun, Jialian Wu, Yusheng Su, Xiaodong Yu, Emad Barsoum, Zicheng Liu
2025	J	`jnl`	KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning. CoRR Yinyi Luo, Zhexian Zhou, Hao Chen, Kai Qiu, Marios Savvides, Sharon Li, Jindong Wang
2025	J	`jnl`	Latent Visual Reasoning. CoRR Bangzheng Li, Ximeng Sun, Jiang Liu, Ze Wang, Jialian Wu, Xiaodong Yu, Hao Chen, Emad Barsoum, Muhao Chen, Zicheng Liu
2025	J	`jnl`	Learning from Online Videos at Inference Time for Computer-Use Agents. CoRR Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang
2025	A*	`conf`	Masked Autoencoders Are Effective Tokenizers for Diffusion Models. ICML Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025	J	`jnl`	On Fairness of Unified Multimodal Large Language Model for Image Generation. CoRR Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Bhiksha Raj Ramakrishnan, Wensheng Zhang
2025	J	`jnl`	On the robustness of multimodal language model towards distractions. CoRR Ming Liu, Hao Chen, Jindong Wang, Wensheng Zhang
2025	A*	`conf`	Rethinking the Bias of Foundation Model under Long-tailed Distribution. ICML Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su
2025	J	`jnl`	Rethinking the Bias of Foundation Model under Long-tailed Distribution. CoRR Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su
2025	J	`jnl`	Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis. CoRR Kai Qiu, Xiang Li, Jason Kuen, Hao Chen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, Marios Savvides
2025	J	`jnl`	SkipSR: Faster Super Resolution with Token Skipping. CoRR Rohan Choudhury, Shanchuan Lin, Jianyi Wang, Hao Chen, Qi Zhao, Feng Cheng, Lu Jiang, Kris Kitani, László A. Jeni
2025	A*	`conf`	SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. CVPR Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. CoRR Jiaxi Yang, Mengqi Zhang, Yiqiao Jin, Hao Chen, Qingsong Wen, Lu Lin, Yi He, Weijie Xu, James Evans, Jindong Wang
2025	J	`jnl`	TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them. CoRR Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Cunxiang Wang, Zhen Wu, Xinyu Dai, Yue Zhang, Wei Ye, Shikun Zhang
2025	J	`jnl`	Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks. CoRR Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang, Kaijie Zhu, Kam-Fai Wong, Jindong Wang
2025	J	`jnl`	UniGame: Turning a Unified Multimodal Model Into Its Own Adversary. CoRR Zhaolong Su, Wang Lu, Hao Chen, Sharon Li, Jindong Wang
2025	J	`jnl`	Unleashing Hour-Scale Video Training for Long Video-Language Understanding. CoRR Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum
2024	A*	`conf`	A General Framework for Learning from Weak Supervision. ICML Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024	J	`jnl`	A General Framework for Learning from Weak Supervision. CoRR Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024	J	`jnl`	A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2024	A*	`conf`	AgentReview: Exploring Peer Review Dynamics with LLM Agents. EMNLP Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang
2024	J	`jnl`	AgentReview: Exploring Peer Review Dynamics with LLM Agents. CoRR Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang
2024	J	`jnl`	Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. CoRR Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu
2024	A*	`conf`	CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. ICML Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
2024	A*	`conf`	Completing Visual Objects via Bridging Generation and Segmentation. ICML Xiang Li, Yinpeng Chen, Chung-Ching Lin, Hao Chen, Kai Hu, Rita Singh, Bhiksha Raj, Lijuan Wang, Zicheng Liu
2024	J	`jnl`	ControlVAR: Exploring Controllable Visual Autoregressive Modeling. CoRR Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, Bhiksha Raj
2024	—	`conf`	Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CVPR Workshops Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2024	J	`jnl`	Efficient Autoregressive Audio Modeling via Next-Scale Prediction. CoRR Kai Qiu, Xiang Li, Hao Chen, Jie Sun, Jinglu Wang, Zhe Lin, Marios Savvides, Bhiksha Raj
2024	J	`jnl`	Exploring Vision-Language Models for Imbalanced Learning. Int. J. Comput. Vis. Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2024	J	`jnl`	ImageFolder: Autoregressive Image Generation with Folded Tokens. CoRR Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin
2024	A*	`conf`	Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. NeurIPS Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024	J	`jnl`	Learning with Noisy Foundation Models. CoRR Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024	A*	`conf`	MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. AAAI Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2024	J	`jnl`	MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. CoRR Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2024	A*	`conf`	Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation. NeurIPS Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu
2024	J	`jnl`	On Catastrophic Inheritance of Large Foundation Models. CoRR Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang
2024	J	`jnl`	On Catastrophic Inheritance of Large Foundation Models. J. Data-centric Mach. Learn. Res. Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang
2024	J	`jnl`	On the Diversity of Synthetic Data and its Impact on Training Large Language Models. CoRR Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I Abdin
2024	J	`jnl`	On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2024	A*	`conf`	PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2024	J	`jnl`	PromptBench: A Unified Library for Evaluation of Large Language Models. J. Mach. Learn. Res. Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
2024	—	`conf`	R ECCV (9) Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Rita Singh, Kashu Yamazaki, Hao Chen, Xiaonan Huang, Bhiksha Raj
2024	J	`jnl`	R CoRR Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Rita Singh, Kashu Yamazaki, Hao Chen, Xiaonan Huang, Bhiksha Raj
2024	J	`jnl`	RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection. CoRR Fangyi Chen, Han Zhang, Zhantao Yang, Hao Chen, Kai Hu, Marios Savvides
2024	A*	`conf`	Slight Corruption in Pre-training Data Makes Better Diffusion Models. NeurIPS Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2024	J	`jnl`	Slight Corruption in Pre-training Data Makes Better Diffusion Models. CoRR Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2024	J	`jnl`	SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. CoRR Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2024	A*	`conf`	Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. ICLR Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024	J	`jnl`	XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation. CoRR Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Jindong Wang, Zhe Lin, Bhiksha Raj
2023	J	`jnl`	A Survey on Evaluation of Large Language Models. CoRR Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2023	A*	`conf`	Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization. CVPR Ran Tao, Hao Chen, Marios Savvides
2023	J	`jnl`	CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. CoRR Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
2023	J	`jnl`	Exploring Vision-Language Models for Imbalanced Learning. CoRR Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2023	A*	`conf`	FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. ICLR Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
2023	J	`jnl`	Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. CoRR Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2023	J	`jnl`	On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2023	J	`jnl`	PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2023	J	`jnl`	PromptBench: A Unified Library for Evaluation of Large Language Models. CoRR Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
2023	J	`jnl`	SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. CoRR Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023	A*	`conf`	SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. ICLR Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023	J	`jnl`	Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. CoRR Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2022	J	`jnl`	3D Human Pose, Shape and Texture From Low-Resolution Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre
2022	J	`jnl`	Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CoRR Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2022	J	`jnl`	FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. CoRR Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele
2022	A*	`conf`	USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022	J	`jnl`	USB: A Unified Semi-supervised Learning Benchmark. CoRR Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022	—	`conf`	Unitail: Detecting, Reading, and Matching in Retail Scene. ECCV (7) Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
2022	J	`jnl`	Unitail: Detecting, Reading, and Matching in Retail Scene. CoRR Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
2021	J	`jnl`	3D Human Pose, Shape and Texture from Low-Resolution Images and Videos. CoRR Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre
2020	—	`conf`	3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning. ECCV (9) Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre
2020	J	`jnl`	3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning. CoRR Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre
2019	—	`conf`	Adversarial Large-Scale Root Gap Inpainting. CVPR Workshops Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris
2019	J	`jnl`	Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning. CoRR Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris
2018	A	`conf`	Root Gap Correction with a Deep Inpainting Model. BMVC Hao Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris, Peter Doerner