Ning Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
73
Venues
37
Active years
2002–2026
Best venue rank
A*
Where they publish
- A*CVPR11 papers
- A*ICCV6 papers
- A*ECCV4 papers
- A*SIGGRAPH3 papers
- A*ICLR3 papers
- A*ICML3 papers
- AWACV3 papers
- A*CCS3 papers
- A*IJCAI3 papers
- A*AAAI2 papers
- A*ACL2 papers
- ANAACL2 papers
- A*SiggraphA2 papers
- AICWSM2 papers
- AIROS2 papers
- AEACL1 paper
- BCOLING1 paper
- NationalRANLP1 paper
- A*SP1 paper
- AECAI1 paper
- A*EMNLP1 paper
- A*ICRA1 paper
- CIGARSS1 paper
- ABMVC1 paper
- BLREC1 paper
- BDCC1 paper
- NationalISKE1 paper
- AMICCAI1 paper
- BWCNC1 paper
- BCoNLL1 paper
- CPRDC1 paper
- CAPSCC1 paper
- BEDBT1 paper
- A*ICDE1 paper
- BMMM1 paper
- MulticonferenceSAC1 paper
- CCLUSTER1 paper
Papers
73 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models. | Jiacheng Huang, Ning Yu, Xiaoyin Yi |
| 2026 | ACL | VChain: Chain-of-Visual-Thought for Reasoning in Video Generation. | Ziqi Huang, Ning Yu, Gordon Chen, Haonan Qiu, Paul Debevec, Ziwei Liu |
| 2026 | ACL | Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification. | Xiangtao Meng, Yingkai Dong, Ning Yu, Li Wang, Zheng Li, Shanqing Guo |
| 2026 | EACL | MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling. | Qian Wang, Ziqi Huang, Ruoxi Jia, Paul Debevec, Ning Yu |
| 2026 | SIGGRAPH | FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction. | Wei Cao, Hao Zhang, Fengrui Tian, Yulun Wu, Yingying Li, Shenlong Wang, Ning Yu, Yaoyao Liu |
| 2026 | SIGGRAPH | Go-with-the-Track: Video Compositing and Motion Control with Point Tracking. | Koichi Namekata, Yash Kant, Zhizheng Liu, Ryan Burgert, Yuancheng Xu, Kuan Heng Lin, Emmett Steven, Julien Philip, Li Ma, Andrea Vedaldi, Paul Debevec, Ning Yu |
| 2026 | SIGGRAPH | Promoting LDR Panoramas to HDRI with Rendering-Space Losses. | Zhengming Yu, Li Ma, Mingming He, Jingdong Zhang, Jionghao Wang, Ning Yu, Paul Debevec |
| 2025 | AAAI | Text2Data: Low-Resource Data Generation with Textual Control. | Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese |
| 2025 | COLING | Leidos at GenAI Detection Task 3: A Weight-Balanced Transformer Approach for AI Generated Text Detection Across Domains. | Abishek R. Edikala, Gregorios A. Katsios, Noelie Creaghe, Ning Yu |
| 2025 | CVPR | Reference-Based 3D-Aware Image Editing with Triplanes. | Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar |
| 2025 | CVPR | Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. | Ryan D. Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael S. Ryoo, Paul E. Debevec, Ning Yu |
| 2025 | CVPR | Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset. | Yiqun Mei, Mingming He, Li Ma, Julien Philip, Wenqi Xian, David M. George, Xueming Yu, Gabriel Dedic, Ahmet Levent Tasel, Ning Yu, Vishal M. Patel, Paul E. Debevec |
| 2025 | CVPR | Detecting Adversarial Data Using Perturbation Forgery. | Qian Wang, Chen Li, Yuchen Luo, Hefei Ling, Shijuan Huang, Ruoxi Jia, Ning Yu |
| 2025 | ICCV | FlashDepth: Real-Time Streaming Video Depth Estimation at 2K Resolution. | Gene Chou, Wenqi Xian, Guandao Yang, Mohamed Abdelfattah, Bharath Hariharan, Noah Snavely, Ning Yu, Paul Debevec |
| 2025 | ICCV | BLIP-3: A Family of Open Large Multimodal Models. | Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2025 | ICLR | Infinite-Resolution Integral Noise Warping for Diffusion Models. | Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi |
| 2025 | NAACL | DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models. | Yimu Wang, Shuai Yuan, Bo Xue, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu |
| 2025 | RANLP | Performance Gaps in Acted and Naturalistic Speech: Insights from Speech Emotion Recognition Strategies on Customer Service Calls. | Lily Kawaoto, Hita Gupta, Ning Yu, Daniel Dakota |
| 2025 | SP | Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-to-Image Generation Models. | Yingkai Dong, Xiangtao Meng, Ning Yu, Zheng Li, Shanqing Guo |
| 2025 | SiggraphA | Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures. | Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu |
| 2024 | CVPR | HIVE: Harnessing Human Feedback for Instructional Visual Editing. | Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu |
| 2024 | CVPR | ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. | Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martn-Martn, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese |
| 2024 | ECAI | Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. | Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang |
| 2024 | ECCV | X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. | Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles |
| 2024 | ECCV | LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. | Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2024 | EMNLP | FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation. | Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia |
| 2024 | ICML | C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. | Mintong Kang, Nezihe Merve Grel, Ning Yu, Dawn Song, Bo Li |
| 2024 | ICML | RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. | Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li |
| 2024 | ICRA | Hierarchical Point Attention for Indoor 3D Object Detection. | Manli Shu, Le Xue, Ning Yu, Roberto Martn-Martn, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu |
| 2024 | NAACL | SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. | Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz |
| 2024 | WACV | Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. | Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang |
| 2024 | SiggraphA | DifFRelight: Diffusion-Based Facial Performance Relighting. | Mingming He, Pascal Clausen, Ahmet Levent Tasel, Li Ma, Oliver Pilarski, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan D. Burgert, Ning Yu, Paul E. Debevec |
| 2023 | CCS | DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models. | Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang |
| 2023 | CVPR | RoSteALS: Robust Steganography using Autoencoder Latent Space. | Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse |
| 2023 | CVPR | Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. | Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang |
| 2023 | CVPR | Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. | Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu |
| 2023 | ICCV | GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. | Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu |
| 2023 | ICML | Generated Graph Detection. | Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang |
| 2023 | IJCAI | Learning Prototype Classifiers for Long-Tailed Recognition. | Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh |
| 2023 | IJCAI | Detecting Adversarial Faces Using Only Real Face Self-Perturbations. | Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu |
| 2023 | WACV | Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand. | Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi |
| 2022 | CCS | Auditing Membership Leakages of Multi-Exit Networks. | Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang |
| 2022 | ECCV | RepMix: Representation Mixing for Robust Attribution of Synthesized Images. | Tu Bui, Ning Yu, John P. Collomosse |
| 2022 | ICLR | RelaxLoss: Defending Membership Inference Attacks without Losing Utility. | Dingfan Chen, Ning Yu, Mario Fritz |
| 2022 | ICLR | Responsible Disclosure of Generative Models Using Scalable Fingerprinting. | Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz |
| 2022 | IGARSS | HFGAN: A Heterogeneous Fusion Generative Adversarial Network for Sar-to-Optical Image Translation. | Ning Yu, Ailong Ma, Yanfei Zhong, Xiaodong Gong |
| 2021 | BMVC | Deep Video Inpainting Detection. | Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim |
| 2021 | CVPR | Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. | Hui-Po Wang, Ning Yu, Mario Fritz |
| 2021 | ICCV | Dual Contrastive Loss and Attention for GANs. | Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz |
| 2021 | ICCV | Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. | Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz |
| 2021 | IJCAI | Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. | Yang He, Ning Yu, Margret Keuper, Mario Fritz |
| 2020 | CCS | GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. | Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz |
| 2020 | ECCV | Inclusive GAN: Improving Data and Minority Coverage in Generative Models. | Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz |
| 2020 | ICWSM | Detecting and Annotating Narratives in Social Media: A Vision Paper. | Mack Blackburn, Ning Yu, Alex Memory, W. Graham Mueller |
| 2020 | LREC | Corpus Development for Studying Online Disinformation Campaign: A Narrative + Stance Approach. | Mack Blackburn, Ning Yu, John Berrie, Brian Gordon, David Longfellow, William Tirrell, Mark Williams |
| 2019 | CVPR | Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. | Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukc |
| 2019 | DCC | Improving Cube-to-ERP Conversion Performance with Geometry Features of 360 Video Structure. | Chunyu Lin, Ning Yu, Huihui Bai, Meiqin Liu, Yao Zhao |
| 2019 | ICCV | Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. | Ning Yu, Larry Davis, Mario Fritz |
| 2019 | ISKE | Three-Stream Convolutional Networks for Video-based Person Re-Identification. | Zeng Yu, Tianrui Li, Ning Yu, Xun Gong |
| 2018 | WACV | Learning to Detect Multiple Photographic Defects. | Ning Yu, Xiaohui Shen, Zhe Lin, Radomr Mech, Connelly Barnes |
| 2016 | IROS | Automated pick-up of carbon nanotubes inside a scanning electron microscope. | Yana Guo, Qing Shi, Zhan Yang, Huaping Wang, Ning Yu, Lining Sun, Qiang Huang, Toshio Fukuda |
| 2016 | MICCAI | Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation. | Ning Yu, Hongzhi Wang, Paul A. Yushkevich |
| 2015 | IROS | Automated bubble-based assembly of cell-laden microgels into vascular-like microtubes. | Xiaoming Liu, Qing Shi, Huaping Wang, Tao Sun, Ning Yu, Qiang Huang, Toshio Fukuda |
| 2013 | WCNC | PARED: A testbed with parallel reprogramming and multi-channel debugging for WSNs. | Kefu Yi, Renjian Feng, Ning Yu, Peng Chen |
| 2011 | CoNLL | Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains. | Ning Yu, Sandra Kbler |
| 2011 | PRDC | One Optimization Method on the Navigation Performance Reliability of Planing Craft. | Songlin Yang, Ning Yu, Feng Zhu, Huilei Li |
| 2010 | APSCC | A Self-Adaption Link-Quality Detection Algorithm for Data Collecting in OSN. | Xiao Wang, Yinfeng Wu, Ning Yu, Jiangwen Wan |
| 2007 | ICWSM | Fusion Approach to Finding opinions in Blogosphere. | Kiduk Yang, Ning Yu, Alejandro Valerio, Hui Zhang, Weimao Ke |
| 2006 | EDBT | Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval. | Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu |
| 2006 | ICDE | Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval. | Kien A. Hua, Ning Yu, Danzhou Liu |
| 2006 | MMM | A linear system of equations with constraints for multipoint queries in image retrieval. | Khanh Vu, Kien A. Hua, Ning Yu |
| 2006 | SAC | Efficient target search with relevance feedback for large CBIR systems. | Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu |
| 2002 | CLUSTER | Scalable Loop Self-Scheduling Schemes for Heterogeneous Clusters. | Anthony T. Chronopoulos, Satish Penmatsa, Ning Yu |