Licheng Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
18
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. | 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 Kumar Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Hassan Awadalla, Manaal Faruqui |
| 2026 | ICDE | KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng. | 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 | CVPR | ROICtrl: Boosting Instance Control for Visual Generation. | Yuchao Gu, Yipin Zhou, Yunfan Ye, Yixin Nie, Licheng Yu, Pingchuan Ma, Kevin Qinghong Lin, Mike Zheng Shou |
| 2025 | CVPR | Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. | 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 | CVPR | Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. | Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu |
| 2025 | CVPR | Apollo: An Exploration of Video Understanding in Large Multimodal Models. | 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 | CVPR | VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. | Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang |
| 2024 | CVPR | FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. | Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. | Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan |
| 2024 | CVPR | 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 |
| 2024 | EACL | Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. | Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang |
| 2024 | ECCV | 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, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan |
| 2023 | CVPR | Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. | Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell |
| 2023 | CVPR | FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. | Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang |
| 2023 | CVPR | Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. | Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li |
| 2023 | ICCV | CiT: Curation in Training for Effective Vision-Language Data. | Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer |
| 2023 | ICLR | 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 |
| 2023 | WWW | Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace. | Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash |
| 2022 | CVPR | Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment. | Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang |
| 2022 | ECCV | FashionViL: Fashion-Focused Vision-and-Language Representation Learning. | Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang |
| 2022 | ECCV | GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval. | Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou |
| 2022 | EMNLP | FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. | Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang |
| 2022 | KDD | CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. | Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang |
| 2021 | CVPR | 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 |
| 2021 | ICRA | Assistive supernumerary grasping with the back of the hand. | Jungpyo Lee, Licheng Yu, Lucie Derbier, Hannah S. Stuart |
| 2020 | ACL | TVQA+: Spatio-Temporal Grounding for Video Question Answering. | Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | CVPR | BachGAN: High-Resolution Image Synthesis From Salient Object Layout. | Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu |
| 2020 | CVPR | Violin: A Large-Scale Dataset for Video-and-Language Inference. | Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu |
| 2020 | ECCV | Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. | Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu |
| 2020 | ECCV | UNITER: UNiversal Image-TExt Representation Learning. | Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu |
| 2020 | ECCV | TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. | Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | EMNLP | What is More Likely to Happen Next? Video-and-Language Future Event Prediction. | Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | EMNLP | HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. | Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu |
| 2019 | CVPR | Multi-Target Embodied Question Answering. | Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra |
| 2019 | NAACL | Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. | Hao Tan, Licheng Yu, Mohit Bansal |
| 2018 | CVPR | MAttNet: Modular Attention Network for Referring Expression Comprehension. | Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg |
| 2018 | EMNLP | TVQA: Localized, Compositional Video Question Answering. | Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg |
| 2017 | CVPR | A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. | Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg |
| 2017 | EMNLP | Hierarchically-Attentive RNN for Album Summarization and Storytelling. | Licheng Yu, Mohit Bansal, Tamara L. Berg |
| 2016 | ECCV | Modeling Context in Referring Expressions. | Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg |
| 2016 | HPCC | WAP: The Warp Feature Aware Prefetching Method for LLC on CPU-GPU Heterogeneous Architecture. | Minghui Wu, Yulong Pei, Licheng Yu, Tianzhou Chen, Xueqing Lou, Tiefei Zhang |
| 2016 | HPCC | LLC Buffer for Arbitrary Data Sharing in Heterogeneous Systems. | Licheng Yu, Yulong Pei, Tianzhou Chen, Xueqing Lou, Minghui Wu, Tiefei Zhang |
| 2015 | AAAI | Dictionary Learning with Mutually Reinforcing Group-Graph Structures. | Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu |
| 2015 | HPCC | 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 |
| 2015 | HPCC | Equidistant Memory Access Coalescing on GPGPU. | Yulong Pei, Licheng Yu, Minghui Wu, Tianzhou Chen |
| 2015 | ICCV | Visual Madlibs: Fill in the Blank Description Generation and Question Answering. | Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg |
| 2015 | ISPDC | Analyzing Memory Access on CPU-GPGPU Shared LLC Architecture. | Jianliang Ma, Licheng Yu, Tianzhou Chen, Minghui Wu |
| 2014 | HPCC | Buffer on Last Level Cache for CPU and GPGPU Data Sharing. | Licheng Yu, Tianzhou Chen, Minghui Wu, Li Liu |
| 2013 | VCIP | Single image super-resolution via phase congruency analysis. | Licheng Yu, Yi Xu, Bo Zhang |
| 2012 | HPCC | 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 |
| 2012 | HPCC | A Software-hardware Collaborating Framework for Wear Leveling on Phase Change Memory. | Licheng Yu, Tianzhou Chen, Jianzhong Wu |
| 2012 | PDCAT | A CPU-GPGPU Scheduler Based on Data Transmission Bandwidth of Workload. | Wen Huang, Licheng Yu, Mingjiao Ye, Tianzhou Chen, Tongsen Hu |
| 2012 | PDP | Packet Triggered Prediction Based Task Migration for Network-on-Chip. | Chao Wang, Licheng Yu, Li Liu, Tianzhou Chen |
| 2011 | PDCAT | Leakage Aware Scheduling for Maximum Temperature Minimization. | Jinming Yue, Tiefei Zhang, Licheng Yu, Tianzhou Chen |