Licheng Yu - RankMe

117 papers A* 29A 1C 5Journal 57Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CVPR Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu
2025	J	`jnl`	AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. CoRR Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui
2025	A*	`conf`	Apollo: An Exploration of Video Understanding in Large Multimodal Models. CVPR Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia
2025	A*	`conf`	Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. CVPR Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu
2025	J	`jnl`	Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. CoRR Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu
2025	J	`jnl`	Dual-Weighted Reinforcement Learning for Generative Preference Modeling. CoRR Shengyu Feng, Yun He, Shuang Ma, Beibin Li, Yuanhao Xiong, Songlin Li, Karishma Mandyam, Julian Katz-Samuels, Shengjie Bi, Licheng Yu, Hejia Zhang, Karthik Abinav Sankararaman, Han Fang, Riham Mansour, Yiming Yang, Manaal Faruqui
2025	J	`jnl`	KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng. CoRR Oleg Senkevich, Siyang Xu, Tianyi Jiang, Alexander Radionov, Jan Tabaszewski, Dmitriy Malyshev, Zijian Li, Daihao Xue, Licheng Yu, Weidi Zeng, Meiling Wang, Xin Yao, Siyu Huang, Gleb Neshchetkin, Qiuling Pan, Yaoyao Fu
2025	A*	`conf`	ROICtrl: Boosting Instance Control for Visual Generation. CVPR Yuchao Gu, Yipin Zhou, Yunfan Ye, Yixin Nie, Licheng Yu, Pingchuan Ma, Kevin Qinghong Lin, Mike Zheng Shou
2024	A*	`conf`	AVID: Any-Length Video Inpainting with Diffusion Model. CVPR Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
2024	J	`jnl`	Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CoRR Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu
2024	—	`conf`	Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. EACL (1) Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
2024	J	`jnl`	Animated Stickers: Bringing Stickers to Life with Video Diffusion. CoRR David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schönfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali K. Thabet, Peter Vajda, Amy Bearman, Licheng Yu
2024	J	`jnl`	Apollo: An Exploration of Video Understanding in Large Multimodal Models. CoRR Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia
2024	A*	`conf`	Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CVPR Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2024	A*	`conf`	FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CVPR Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2024	A*	`conf`	Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CVPR Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
2024	J	`jnl`	ROICtrl: Boosting Instance Control for Visual Generation. CoRR Yuchao Gu, Yipin Zhou, Yunfan Ye, Yixin Nie, Licheng Yu, Pingchuan Ma, Kevin Qinghong Lin, Mike Zheng Shou
2024	J	`jnl`	SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CoRR Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
2024	—	`conf`	Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. ECCV (70) Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan
2024	A*	`conf`	VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. CVPR Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang
2023	J	`jnl`	AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. CoRR Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
2023	J	`jnl`	AVID: Any-Length Video Inpainting with Diffusion Model. CoRR Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
2023	A*	`conf`	CiT: Curation in Training for Effective Vision-Language Data. ICCV Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023	J	`jnl`	CiT: Curation in Training for Effective Vision-Language Data. CoRR Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023	A*	`conf`	FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CVPR Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang
2023	J	`jnl`	FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CoRR Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang
2023	J	`jnl`	Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CoRR Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2023	J	`jnl`	FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CoRR Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2023	A*	`conf`	Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. CVPR Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li
2023	J	`jnl`	Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. CoRR Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li
2023	J	`jnl`	Learning and Verification of Task Structure in Instructional Videos. CoRR Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell
2023	—	`conf`	Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace. WWW (Companion Volume) Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash
2023	J	`jnl`	Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace. CoRR Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash
2023	A*	`conf`	RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. ICLR Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
2023	J	`jnl`	RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. CoRR Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
2023	A*	`conf`	Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CVPR Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell
2023	J	`jnl`	Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan
2023	J	`jnl`	VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. CoRR Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang
2022	A*	`conf`	CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. KDD Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang
2022	J	`jnl`	CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. CoRR Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao M. J. Wang, Hugo Chen, Tamara L. Berg, Ning Zhang
2022	A*	`conf`	FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. EMNLP Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang
2022	J	`jnl`	FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. CoRR Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang
2022	—	`conf`	FashionViL: Fashion-Focused Vision-and-Language Representation Learning. ECCV (35) Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
2022	J	`jnl`	FashionViL: Fashion-Focused Vision-and-Language Representation Learning. CoRR Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
2022	—	`conf`	GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval. ECCV (35) Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou
2022	J	`jnl`	GEB+: A benchmark for generic event boundary captioning, grounding and text-based retrieval. CoRR Yuxuan Wang, Difei Gao, Licheng Yu, Stan Weixian Lei, Matt Feiszli, Mike Zheng Shou
2022	J	`jnl`	LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval. CoRR Jie Lei, Xinlei Chen, Ning Zhang, Mengjiao Wang, Mohit Bansal, Tamara L. Berg, Licheng Yu
2022	J	`jnl`	Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CoRR Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell
2022	J	`jnl`	Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment. CoRR Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang
2022	A*	`conf`	Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment. CVPR Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang
2021	A*	`conf`	Assistive supernumerary grasping with the back of the hand. ICRA Jungpyo Lee, Licheng Yu, Lucie Derbier, Hannah S. Stuart
2021	A*	`conf`	Connecting What To Say With Where To Look by Modeling Human Attention Traces. CVPR Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
2021	J	`jnl`	Connecting What to Say With Where to Look by Modeling Human Attention Traces. CoRR Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
2021	—	`conf`	VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
2021	J	`jnl`	VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
2020	A*	`conf`	BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
2020	J	`jnl`	BachGAN: High-Resolution Image Synthesis from Salient Object Layout. CoRR Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
2020	—	`conf`	Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. ECCV (6) Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
2020	J	`jnl`	Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. CoRR Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
2020	—	`conf`	HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. EMNLP (1) Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
2020	J	`jnl`	HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. CoRR Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
2020	A*	`conf`	TVQA+: Spatio-Temporal Grounding for Video Question Answering. ACL Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
2020	—	`conf`	TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. ECCV (21) Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
2020	J	`jnl`	TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. CoRR Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
2020	—	`conf`	UNITER: UNiversal Image-TExt Representation Learning. ECCV (30) Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
2020	J	`jnl`	VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2020	A*	`conf`	Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2020	—	`conf`	What is More Likely to Happen Next? Video-and-Language Future Event Prediction. EMNLP (1) Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
2020	J	`jnl`	What is More Likely to Happen Next? Video-and-Language Future Event Prediction. CoRR Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
2019	—	`conf`	Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. NAACL-HLT (1) Hao Tan, Licheng Yu, Mohit Bansal
2019	J	`jnl`	Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. CoRR Hao Tan, Licheng Yu, Mohit Bansal
2019	A*	`conf`	Multi-Target Embodied Question Answering. CVPR Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra
2019	J	`jnl`	Multi-Target Embodied Question Answering. CoRR Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra
2019	—	`—`	Question Answering, Grounding, and Generation for Vision and Language. Licheng Yu
2019	J	`jnl`	TVQA+: Spatio-Temporal Grounding for Video Question Answering. CoRR Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
2019	J	`jnl`	UNITER: Learning UNiversal Image-TExt Representations. CoRR Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
2018	J	`jnl`	A Unified Framework for Manifold Landmarking. IEEE Trans. Signal Process. Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha
2018	J	`jnl`	From image to language and back again. Nat. Lang. Eng. Anya Belz, Tamara L. Berg, Licheng Yu
2018	J	`jnl`	Last level cache layout remapping for heterogeneous systems. J. Syst. Archit. Licheng Yu, Tianzhou Chen, Minghui Wu, Xueqing Lou
2018	A*	`conf`	MAttNet: Modular Attention Network for Referring Expression Comprehension. CVPR Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg
2018	J	`jnl`	MAttNet: Modular Attention Network for Referring Expression Comprehension. CoRR Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg
2018	J	`jnl`	Physics-Inspired Garment Recovery from a Single-View Image. ACM Trans. Graph. Shan Yang, Zherong Pan, Tanya Amert, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin
2018	A*	`conf`	TVQA: Localized, Compositional Video Question Answering. EMNLP Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg
2018	J	`jnl`	TVQA: Localized, Compositional Video Question Answering. CoRR Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg
2017	A*	`conf`	A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. CVPR Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg
2017	J	`jnl`	Active manifold learning via a unified framework for manifold landmarking. CoRR Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha
2017	J	`jnl`	Enable back memory and global synchronization on LLC buffer. J. Supercomput. Licheng Yu, Yulong Pei, Tianzhou Chen, Xueqing Lou, Minghui Wu, Tiefei Zhang
2017	A*	`conf`	Hierarchically-Attentive RNN for Album Summarization and Storytelling. EMNLP Licheng Yu, Mohit Bansal, Tamara L. Berg
2017	J	`jnl`	Hierarchically-Attentive RNN for Album Summarization and Storytelling. CoRR Licheng Yu, Mohit Bansal, Tamara L. Berg
2016	J	`jnl`	A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. CoRR Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg
2016	J	`jnl`	Architecture supported register stash for GPGPU. J. Parallel Distributed Comput. Licheng Yu, Yulong Pei, Tianzhou Chen, Minghui Wu
2016	J	`jnl`	Detailed Garment Recovery from a Single-View Image. CoRR Shan Yang, Tanya Amert, Zherong Pan, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin
2016	—	`conf`	LLC Buffer for Arbitrary Data Sharing in Heterogeneous Systems. HPCC/SmartCity/DSS Licheng Yu, Yulong Pei, Tianzhou Chen, Xueqing Lou, Minghui Wu, Tiefei Zhang
2016	—	`conf`	Modeling Context in Referring Expressions. ECCV (2) Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg
2016	J	`jnl`	Modeling Context in Referring Expressions. CoRR Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg
2016	—	`conf`	Two Methods for Combining Original Memory Access Coalescing and Equivalent Memory Access Coalescing on GPGPU. ICESS Yulong Pei, Licheng Yu, Minghui Wu, Tianzhou Chen, Xueqing Lou, Tiefei Zhang
2016	—	`conf`	WAP: The Warp Feature Aware Prefetching Method for LLC on CPU-GPU Heterogeneous Architecture. HPCC/SmartCity/DSS Minghui Wu, Yulong Pei, Licheng Yu, Tianzhou Chen, Xueqing Lou, Tiefei Zhang
2015	C	`conf`	Analyzing Memory Access on CPU-GPGPU Shared LLC Architecture. ISPDC Jianliang Ma, Licheng Yu, Tianzhou Chen, Minghui Wu
2015	—	`conf`	Buffer Filter: A Last-Level Cache Management Policy for CPU-GPGPU Heterogeneous System. HPCC/CSS/ICESS Songyuan Li, Jinglei Meng, Licheng Yu, Jianliang Ma, Tianzhou Chen, Minghui Wu
2015	A*	`conf`	Dictionary Learning with Mutually Reinforcing Group-Graph Structures. AAAI Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu
2015	—	`conf`	Equidistant Memory Access Coalescing on GPGPU. HPCC/CSS/ICESS Yulong Pei, Licheng Yu, Minghui Wu, Tianzhou Chen
2015	J	`jnl`	MCMG simulator: A unified simulation framework for CPU and graphic GPU. J. Comput. Syst. Sci. Jianliang Ma, Licheng Yu, John M. Ye, Tianzhou Chen
2015	J	`jnl`	Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis. IEEE Trans. Image Process. Yi Xu, Licheng Yu, Hongteng Xu, Hao Zhang, Truong Nguyen
2015	A*	`conf`	Visual Madlibs: Fill in the Blank Description Generation and Question Answering. ICCV Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg
2015	J	`jnl`	Visual Madlibs: Fill in the blank Image Generation and Question Answering. CoRR Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg
2014	—	`conf`	A quantitative quality control method of big data in cancer patients using artificial neural network. CCIS Hong Shen, Jinglei Meng, Licheng Yu, Xuefeng Fang, Tianzhou Chen, Hui Yan, Honglun Hou
2014	—	`conf`	Buffer on Last Level Cache for CPU and GPGPU Data Sharing. HPCC/CSS/ICESS Licheng Yu, Tianzhou Chen, Minghui Wu, Li Liu
2014	J	`jnl`	Improving branch divergence performance on GPGPU with a new PDOM stack and multi-level warp scheduling. J. Syst. Archit. Licheng Yu, Xingsheng Tang, Minghui Wu, Tianzhou Chen
2013	A	`conf`	Quaternion-based sparse representation of color image. ICME Licheng Yu, Yi Xu, Hongteng Xu, Hao Zhang
2013	—	`conf`	Self-example based super-resolution with fractal-based gradient enhancement. ICME Workshops Licheng Yu, Yi Xu, Hongteng Xu, Xiaokang Yang
2013	C	`conf`	Single image super-resolution via phase congruency analysis. VCIP Licheng Yu, Yi Xu, Bo Zhang
2012	C	`conf`	A CPU-GPGPU Scheduler Based on Data Transmission Bandwidth of Workload. PDCAT Wen Huang, Licheng Yu, Mingjiao Ye, Tianzhou Chen, Tongsen Hu
2012	—	`conf`	A Software-hardware Collaborating Framework for Wear Leveling on Phase Change Memory. HPCC-ICESS Licheng Yu, Tianzhou Chen, Jianzhong Wu
2012	—	`conf`	Improve GPGPU Latency Hiding with a Hybrid Recovery Stack and a Window Based Warp Scheduling Policy. HPCC-ICESS Tianzhou Chen, Xingsheng Tang, Licheng Yu, Jianliang Ma, Minghui Wu
2012	C	`conf`	Packet Triggered Prediction Based Task Migration for Network-on-Chip. PDP Chao Wang, Licheng Yu, Li Liu, Tianzhou Chen
2012	—	`conf`	Robust single image super-resolution based on gradient enhancement. APSIPA Licheng Yu, Hongteng Xu, Yi Xu, Xiaokang Yang
2011	C	`conf`	Leakage Aware Scheduling for Maximum Temperature Minimization. PDCAT Jinming Yue, Tiefei Zhang, Licheng Yu, Tianzhou Chen