Leakage Aware Scheduling for Maximum Temperature Minimization. - Jinming Yue; Tiefei Zhang; Licheng Yu; Tianzhou Chen (PDCAT, 2011)

Robust single image super-resolution based on gradient enhancement. - Licheng Yu; Hongteng Xu; Yi Xu 001; Xiaokang Yang 001 (APSIPA, 2012)

Improve GPGPU Latency Hiding with a Hybrid Recovery Stack and a Window Based Warp Scheduling Policy. - Tianzhou Chen; Xingsheng Tang; Licheng Yu; Jianliang Ma; Minghui Wu 001 (HPCC-ICESS, 2012)

A Software-hardware Collaborating Framework for Wear Leveling on Phase Change Memory. - Licheng Yu; Tianzhou Chen; Jianzhong Wu (HPCC-ICESS, 2012)

A CPU-GPGPU Scheduler Based on Data Transmission Bandwidth of Workload. - Wen Huang; Licheng Yu; Mingjiao Ye; Tianzhou Chen; Tongsen Hu (PDCAT, 2012)

Packet Triggered Prediction Based Task Migration for Network-on-Chip. - Chao Wang 058; Licheng Yu; Li Liu 006; Tianzhou Chen (PDP, 2012)

Self-example based super-resolution with fractal-based gradient enhancement. - Licheng Yu; Yi Xu 001; Hongteng Xu; Xiaokang Yang 001 (ICME Workshops, 2013)

Quaternion-based sparse representation of color image. - Licheng Yu; Yi Xu 001; Hongteng Xu; Hao Zhang (ICME, 2013)

Single image super-resolution via phase congruency analysis. - Licheng Yu; Yi Xu; Bo Zhang (VCIP, 2013)

A quantitative quality control method of big data in cancer patients using artificial neural network. - Hong Shen; Jinglei Meng; Licheng Yu; Xuefeng Fang; Tianzhou Chen; Hui Yan; Honglun Hou (CCIS, 2014)

Buffer on Last Level Cache for CPU and GPGPU Data Sharing. - Licheng Yu; Tianzhou Chen; Minghui Wu 001; Li Liu 006 (HPCC/CSS/ICESS, 2014)

Improving branch divergence performance on GPGPU with a new PDOM stack and multi-level warp scheduling. - Licheng Yu; Xingsheng Tang; Minghui Wu 001; Tianzhou Chen (J. Syst. Archit., 2014)

Dictionary Learning with Mutually Reinforcing Group-Graph Structures. - Hongteng Xu; Licheng Yu; Dixin Luo; Hongyuan Zha; Yi Xu 001 (AAAI, 2015)

Buffer Filter: A Last-Level Cache Management Policy for CPU-GPGPU Heterogeneous System. - Songyuan Li; Jinglei Meng; Licheng Yu; Jianliang Ma; Tianzhou Chen; Minghui Wu 001 (HPCC/CSS/ICESS, 2015)

Equidistant Memory Access Coalescing on GPGPU. - Yulong Pei; Licheng Yu; Minghui Wu 001; Tianzhou Chen (HPCC/CSS/ICESS, 2015)

Visual Madlibs: Fill in the Blank Description Generation and Question Answering. - Licheng Yu; Eunbyung Park; Alexander C. Berg; Tamara L. Berg (ICCV, 2015)

Analyzing Memory Access on CPU-GPGPU Shared LLC Architecture. - Jianliang Ma; Licheng Yu; Tianzhou Chen; Minghui Wu 001 (ISPDC, 2015)

Visual Madlibs: Fill in the blank Image Generation and Question Answering. - Licheng Yu; Eunbyung Park; Alexander C. Berg; Tamara L. Berg (CoRR, 2015)

MCMG simulator: A unified simulation framework for CPU and graphic GPU. - Jianliang Ma; Licheng Yu; John M. Ye; Tianzhou Chen (J. Comput. Syst. Sci., 2015)

Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis. - Yi Xu 001; Licheng Yu; Hongteng Xu; Hao Zhang; Truong Nguyen 001 (IEEE Trans. Image Process., 2015)

Modeling Context in Referring Expressions. - Licheng Yu; Patrick Poirson; Shan Yang; Alexander C. Berg; Tamara L. Berg (ECCV (2), 2016)

WAP: The Warp Feature Aware Prefetching Method for LLC on CPU-GPU Heterogeneous Architecture. - Minghui Wu 001; Yulong Pei; Licheng Yu; Tianzhou Chen; Xueqing Lou; Tiefei Zhang (HPCC/SmartCity/DSS, 2016)

LLC Buffer for Arbitrary Data Sharing in Heterogeneous Systems. - Licheng Yu; Yulong Pei; Tianzhou Chen; Xueqing Lou; Minghui Wu 001; Tiefei Zhang (HPCC/SmartCity/DSS, 2016)

Two Methods for Combining Original Memory Access Coalescing and Equivalent Memory Access Coalescing on GPGPU. - Yulong Pei; Licheng Yu; Minghui Wu 001; Tianzhou Chen; Xueqing Lou; Tiefei Zhang (ICESS, 2016)

Detailed Garment Recovery from a Single-View Image. - Shan Yang; Tanya Amert; Zherong Pan; Ke Wang 021; Licheng Yu; Tamara L. Berg; Ming C. Lin (CoRR, 2016)

Architecture supported register stash for GPGPU. - Licheng Yu; Yulong Pei; Tianzhou Chen; Minghui Wu 001 (J. Parallel Distributed Comput., 2016)

A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. - Licheng Yu; Hao Tan 002; Mohit Bansal; Tamara L. Berg (CVPR, 2017)

Hierarchically-Attentive RNN for Album Summarization and Storytelling. - Licheng Yu; Mohit Bansal; Tamara L. Berg (EMNLP, 2017)

Active manifold learning via a unified framework for manifold landmarking. - Hongteng Xu; Licheng Yu; Mark A. Davenport; Hongyuan Zha (CoRR, 2017)

Enable back memory and global synchronization on LLC buffer. - Licheng Yu; Yulong Pei; Tianzhou Chen; Xueqing Lou; Minghui Wu 001; Tiefei Zhang (J. Supercomput., 2017)

MAttNet: Modular Attention Network for Referring Expression Comprehension. - Licheng Yu; Zhe Lin 001; Xiaohui Shen; Jimei Yang; Xin Lu 006; Mohit Bansal; Tamara L. Berg (CVPR, 2018)

TVQA: Localized, Compositional Video Question Answering. - Jie Lei 003; Licheng Yu; Mohit Bansal; Tamara L. Berg (EMNLP, 2018)

Last level cache layout remapping for heterogeneous systems. - Licheng Yu; Tianzhou Chen; Minghui Wu 001; Xueqing Lou (J. Syst. Archit., 2018)

From image to language and back again. - Anya Belz; Tamara L. Berg; Licheng Yu (Nat. Lang. Eng., 2018)

Physics-Inspired Garment Recovery from a Single-View Image. - Shan Yang; Zherong Pan; Tanya Amert; Ke Wang 021; Licheng Yu; Tamara L. Berg; Ming C. Lin (ACM Trans. Graph., 2018)

A Unified Framework for Manifold Landmarking. - Hongteng Xu; Licheng Yu; Mark A. Davenport; Hongyuan Zha (IEEE Trans. Signal Process., 2018)

Multi-Target Embodied Question Answering. - Licheng Yu; Xinlei Chen; Georgia Gkioxari; Mohit Bansal; Tamara L. Berg; Dhruv Batra (CVPR, 2019)

Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. - Hao Tan 002; Licheng Yu; Mohit Bansal (NAACL-HLT (1), 2019)

UNITER: Learning UNiversal Image-TExt Representations. - Yen-Chun Chen 001; Linjie Li; Licheng Yu; Ahmed El Kholy; Faisal Ahmed 001; Zhe Gan; Yu Cheng 001; Jingjing Liu 001 (CoRR, 2019)

Question Answering, Grounding, and Generation for Vision and Language. - Licheng Yu (2019)

TVQA+: Spatio-Temporal Grounding for Video Question Answering. - Jie Lei 003; Licheng Yu; Tamara L. Berg; Mohit Bansal (ACL, 2020)

BachGAN: High-Resolution Image Synthesis From Salient Object Layout. - Yandong Li; Yu Cheng 001; Zhe Gan; Licheng Yu; Liqiang Wang 001; Jingjing Liu 001 (CVPR, 2020)

Violin: A Large-Scale Dataset for Video-and-Language Inference. - Jingzhou Liu; Wenhu Chen; Yu Cheng 001; Zhe Gan; Licheng Yu; Yiming Yang; Jingjing Liu 001 (CVPR, 2020)

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. - Jize Cao; Zhe Gan; Yu Cheng 001; Licheng Yu; Yen-Chun Chen 001; Jingjing Liu 001 (ECCV (6), 2020)

UNITER: UNiversal Image-TExt Representation Learning. - Yen-Chun Chen 001; Linjie Li; Licheng Yu; Ahmed El Kholy; Faisal Ahmed 001; Zhe Gan; Yu Cheng 001; Jingjing Liu 001 (ECCV (30), 2020)

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. - Jie Lei 003; Licheng Yu; Tamara L. Berg; Mohit Bansal (ECCV (21), 2020)

What is More Likely to Happen Next? Video-and-Language Future Event Prediction. - Jie Lei 003; Licheng Yu; Tamara L. Berg; Mohit Bansal (EMNLP (1), 2020)

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. - Linjie Li; Yen-Chun Chen 001; Yu Cheng 001; Zhe Gan; Licheng Yu; Jingjing Liu 001 (EMNLP (1), 2020)

Connecting What To Say With Where To Look by Modeling Human Attention Traces. - Zihang Meng; Licheng Yu; Ning Zhang; Tamara L. Berg; Babak Damavandi; Vikas Singh; Amy Bearman (CVPR, 2021)

Assistive supernumerary grasping with the back of the hand. - Jungpyo Lee; Licheng Yu; Lucie Derbier; Hannah S. Stuart (ICRA, 2021)

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. - Linjie Li; Jie Lei 003; Zhe Gan; Licheng Yu; Yen-Chun Chen 001; Rohit Pillai; Yu Cheng 001; Luowei Zhou; Xin Wang 061; William Yang Wang; Tamara L. Berg; Mohit Bansal; et al. (NeurIPS Datasets and Benchmarks, 2021)

Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment. - Mingyang Zhou 004; Licheng Yu; Amanpreet Singh; Mengjiao Wang 002; Zhou Yu 005; Ning Zhang (CVPR, 2022)

FashionViL: Fashion-Focused Vision-and-Language Representation Learning. - Xiao Han; Licheng Yu; Xiatian Zhu; Li Zhang 040; Yi-Zhe Song; Tao Xiang 002 (ECCV (35), 2022)

GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval. - Yuxuan Wang; Difei Gao; Licheng Yu; Weixian Lei; Matt Feiszli; Mike Zheng Shou (ECCV (35), 2022)

FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. - Suvir Mirchandani; Licheng Yu; Mengjiao Wang 002; Animesh Sinha; Wenwen Jiang; Tao Xiang 002; Ning Zhang (EMNLP, 2022)

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. - Licheng Yu; Jun Chen; Animesh Sinha; Mengjiao Wang 002; Yu Chen; Tamara L. Berg; Ning Zhang (KDD, 2022)

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. - Licheng Yu; Jun Chen; Animesh Sinha; Mengjiao M. J. Wang; Hugo Chen; Tamara L. Berg; Ning Zhang (CoRR, 2022)

Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment. - Mingyang Zhou 004; Licheng Yu; Amanpreet Singh; Mengjiao Wang 002; Zhou Yu 005; Ning Zhang (CoRR, 2022)

LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval. - Jie Lei 003; Xinlei Chen; Ning Zhang; Mengjiao Wang 002; Mohit Bansal; Tamara L. Berg; Licheng Yu (CoRR, 2022)

GEB+: A benchmark for generic event boundary captioning, grounding and text-based retrieval. - Yuxuan Wang; Difei Gao; Licheng Yu; Stan Weixian Lei; Matt Feiszli; Mike Zheng Shou (CoRR, 2022)

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. - Tsu-Jui Fu; Licheng Yu; Ning Zhang 014; Cheng-Yang Fu; Jong-Chyi Su; William Yang Wang; Sean Bell (CVPR, 2023)

FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. - Xiao Han; Xiatian Zhu; Licheng Yu; Li Zhang 040; Yi-Zhe Song; Tao Xiang 002 (CVPR, 2023)

Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. - Yiwu Zhong; Licheng Yu; Yang Bai; Shangwen Li; Xueting Yan; Yin Li 003 (CVPR, 2023)

CiT: Curation in Training for Effective Vision-Language Data. - Hu Xu 001; Saining Xie; Po-Yao Huang 001; Licheng Yu; Russell Howes; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICCV, 2023)

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. - Sangwoo Mo; Jong-Chyi Su; Chih-Yao Ma; Mido Assran; Ishan Misra; Licheng Yu; Sean Bell (ICLR, 2023)

Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace. - Yunzhong He; Yuxin Tian; Mengjiao Wang 002; Feier Chen; Licheng Yu; Maolong Tang; Congcong Chen; Ning Zhang; Bin Kuang; Arul Prakash (WWW (Companion Volume), 2023)

Learning and Verification of Task Structure in Instructional Videos. - Medhini Narasimhan; Licheng Yu; Sean Bell; Ning Zhang 014; Trevor Darrell (CoRR, 2023)

VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. - Yuchao Gu; Yipin Zhou; Bichen Wu; Licheng Yu; Jia-Wei Liu; Rui Zhao 001; Jay Zhangjie Wu; David Junhao Zhang; Mike Zheng Shou; Kevin Tang (CVPR, 2024)

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. - Feng Liang; Bichen Wu; Jialiang Wang 001; Licheng Yu; Kunpeng Li; Yinan Zhao; Ishan Misra; Jia-Bin Huang; Peizhao Zhang; Peter Vajda; Diana Marculescu (CVPR, 2024)

Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. - Bichen Wu; Ching-Yao Chuang; Xiaoyan Wang; Yichen Jia; Kapil Krishnakumar; Tong Xiao; Feng Liang; Licheng Yu; Peter Vajda (CVPR, 2024)

AVID: Any-Length Video Inpainting with Diffusion Model. - Zhixing Zhang; Bichen Wu; Xiaoyan Wang; Yaqiao Luo; Luxin Zhang; Yinan Zhao; Peter Vajda; Dimitris N. Metaxas; Licheng Yu (CVPR, 2024)

Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Qilong Zhangli; Jindong Jiang; Di Liu 003; Licheng Yu; Xiaoliang Dai; Ankit Ramchandani; Guan Pang; Dimitris N. Metaxas; Praveen Krishnan (CVPR, 2024)

Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. - Barry Menglong Yao; Sijia Wang; Yu Chen 022; Qifan Wang 001; Minqian Liu; Zhiyang Xu; Licheng Yu; Lifu Huang (EACL (1), 2024)

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. - 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; et al. (ECCV (70), 2024)

Animated Stickers: Bringing Stickers to Life with Video Diffusion. - David Yan; Winnie Zhang; Luxin Zhang; Anmol Kalia; Dingkang Wang; Ankit Ramchandani; Miao Liu 007; Albert Pumarola; Edgar Schönfeld; Elliot Blanchard; Krishna Narni; Yaqiao Luo; et al. (CoRR, 2024)

SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Qilong Zhangli; Jindong Jiang; Di Liu 003; Licheng Yu; Xiaoliang Dai; Ankit Ramchandani; Guan Pang; Dimitris N. Metaxas; Praveen Krishnan (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

ROICtrl: Boosting Instance Control for Visual Generation. - Yuchao Gu; Yipin Zhou; Yunfan Ye; Yixin Nie; Licheng Yu; Pingchuan Ma 002; Kevin Qinghong Lin; Mike Zheng Shou (CVPR, 2025)

Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. - Zeyi Huang; Yuyang Ji; Xiaofang Wang; Nikhil Mehta 002; Tong Xiao; Donghyun Lee 004; Sigmund Vanvalkenburgh; Shengxin Zha; Bolin Lai; Licheng Yu; Ning Zhang; Yong Jae Lee; et al. (CVPR, 2025)

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. - Shiyu Zhao; Zhenting Wang; Felix Juefei-Xu; Xide Xia; Miao Liu 007; Xiaofang Wang; Mingfu Liang; Ning Zhang; Dimitris N. Metaxas; Licheng Yu (CVPR, 2025)

Apollo: An Exploration of Video Understanding in Large Multimodal Models. - Orr Zohar; Xiaohan Wang; Yann Dubois; Nikhil Mehta 002; Tong Xiao; Philippe Hansen-Estruch; Licheng Yu; Xiaofang Wang; Felix Juefei-Xu; Ning Zhang; Serena Yeung-Levy; Xide Xia (CVPR, 2025)