| 2026 | ACL | Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models. | Jia Deng, Junyi Li, Xin Zhao, Jinpeng Wang, Hongyu Lu, Ji-Rong Wen |
| 2025 | ACL | The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. | Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Haiwen Hong, Huan-ang Gao, Longtao Huang, Hui Xue, Huimin Chen, Zhiyuan Liu, Maosong Sun |
| 2025 | ACL | YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model. | Yiwen Hu, Huatong Song, Jie Chen, Jia Deng, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Zican Dong, Yang Lu, Xu Miao, Xin Zhao, Ji-Rong Wen |
| 2025 | EMNLP | SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis. | Shuang Sun, Huatong Song, Yuhao Wang, Ruiyang Ren, Jinhao Jiang, Junjie Zhang, Fei Bai, Jia Deng, Xin Zhao, Zheng Liu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen |
| 2025 | ICCV | Princeton365: A Diverse Dataset with Accurate Camera Pose. | Karhan Kayan, Stamatis Alexandropoulos, Rishabh Jain, Yiming Zuo, Erich Liang, Jia Deng |
| 2025 | ICCV | Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation. | Hongyu Wen, Yiming Zuo, Venkat Subramanian, Patrick Chen, Jia Deng |
| 2025 | ICCV | OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration. | Yiming Zuo, Willow Yang, Zeyu Ma, Jia Deng |
| 2025 | ICLR | Neuron based Personality Trait Induction in Large Language Models. | Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Xin Zhao, Ji-Rong Wen |
| 2025 | ICLR | Advancing LLM Reasoning Generalists with Preference Trees. | Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun |
| 2025 | SiggraphA | Temporally Smooth Mesh Extraction for Procedural Scenes with Long-Range Camera Trajectories using Spacetime Octrees. | Zeyu Ma, Adam Finkelstein, Jia Deng |
| 2024 | ACL | Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. | Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2024 | CoRL | FetchBench: A Simulation Benchmark for Robot Fetching. | Beining Han, Meenal Parakh, Derek Geng, Jack A. Defay, Luyang Gan, Jia Deng |
| 2024 | CVPR | Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization. | Lahav Lipson, Jia Deng |
| 2024 | CVPR | Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. | Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng |
| 2024 | ECCV | Deep Patch Visual SLAM. | Lahav Lipson, Zachary Teed, Jia Deng |
| 2024 | ECCV | SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. | Yihan Wang, Lahav Lipson, Jia Deng |
| 2024 | ECCV | LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-layer Optical Flow. | Hongyu Wen, Erich Liang, Jia Deng |
| 2024 | ECCV | OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations. | Yiming Zuo, Jia Deng |
| 2024 | ICLR | Llemma: An Open Language Model for Mathematics. | Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen Marcus McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck |
| 2024 | ICONIP | Attention Based Multi-Scale Feature Conservation Network for Medical Image Segmentation. | Jia Deng, Dapeng Cheng, Yanyan Mao, Jialong Kang, Liunian Bian, Feng Zhao |
| 2024 | WACV | Label-Free Synthetic Pretraining of Object Detectors. | Hei Law, Jia Deng |
| 2023 | CVPR | Infinite Photorealistic Worlds Using Procedural Generation. | Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang, Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, Jia Deng |
| 2023 | ICCV | Convolutional Networks with Oriented 1D Kernels. | Alexandre Kirchmeyer, Jia Deng |
| 2023 | ICLR | View Synthesis with Sculpted Neural Points. | Yiming Zuo, Jia Deng |
| 2023 | IJCNN | Deformable Feature Interaction Network and Graph Structure Reasoning for 3D Dense Alignment and Face Reconstruction. | Jia Deng, Xiaofei Li, Xing Wang, Xiangzheng Li |
| 2023 | IGARSS | A Spaceborne SAR Raw Data Simulation Method for Urban Scenes. | Jia Deng, Runzhi Jiao, Yaquan Han, Chuxin Wang, Qian Ma, Haifeng Huang |
| 2022 | CVPR | IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. | Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox |
| 2022 | CVPR | Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. | Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng |
| 2022 | ECCV | Multiview Stereo with Cascaded Epipolar RAFT. | Zeyu Ma, Zachary Teed, Jia Deng |
| 2022 | EMNLP | Generating Natural Language Proofs with Verifier-Guided Search. | Kaiyu Yang, Jia Deng, Danqi Chen |
| 2022 | ICML | A Study of Face Obfuscation in ImageNet. | Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky |
| 2021 | AAAI | Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. | Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng |
| 2021 | AAAI | Dynamically Grown Generative Adversarial Networks. | Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto |
| 2021 | CVPR | RAFT-3D: Scene Flow Using Rigid-Motion Embeddings. | Zachary Teed, Jia Deng |
| 2021 | CVPR | Tangent Space Backpropagation for 3D Transformation Groups. | Zachary Teed, Jia Deng |
| 2021 | ICML | Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. | Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng |
| 2021 | IJCAI | RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract). | Zachary Teed, Jia Deng |
| 2020 | BMVC | CornerNet-Lite: Efficient Keypoint based Object Detection. | Hei Law, Yun Teng, Olga Russakovsky, Jia Deng |
| 2020 | CVPR | OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. | Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng |
| 2020 | CVPR | How Useful Is Self-Supervised Pretraining for Visual Tasks? | Alejandro Newell, Jia Deng |
| 2020 | CVPR | Learning to Generate 3D Training Data Through Hybrid Gradient. | Dawei Yang, Jia Deng |
| 2020 | ECCV | A Unified Framework of Surrogate Loss by Refactoring and Interpolation. | Lanlan Liu, Mingzhe Wang, Jia Deng |
| 2020 | ECCV | RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. | Zachary Teed, Jia Deng |
| 2020 | ICLR | DeepV2D: Video to Depth with Differentiable Structure from Motion. | Zachary Teed, Jia Deng |
| 2020 | ICML | PackIt: A Virtual Environment for Geometric Planning. | Ankit Goyal, Jia Deng |
| 2020 | LREC | LifeQA: A Real-life Dataset for Video Question Answering. | Santiago Castro, Mahmoud Azab, Jonathan C. Stroud, Cristina Noujaim, Ruoyao Wang, Jia Deng, Rada Mihalcea |
| 2020 | WACV | D3D: Distilled 3D Networks for Video Action Recognition. | Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar |
| 2019 | ACL | Identifying Visible Actions in Lifestyle Vlogs. | Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea |
| 2019 | CoNLL | Representing Movie Characters in Dialogues. | Mahmoud Azab, Noriyuki Kojima, Jia Deng, Rada Mihalcea |
| 2019 | CVPR | Learning Single-Image Depth From Videos Using Quality Assessment Networks. | Weifeng Chen, Shengyi Qian, Jia Deng |
| 2019 | CVPR | MeshAdv: Adversarial Meshes for Visual Recognition. | Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu |
| 2019 | ICCV | Generative Modeling for Small-Data Object Detection. | Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li |
| 2019 | ICCV | SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. | Kaiyu Yang, Olga Russakovsky, Jia Deng |
| 2019 | ICML | Learning to Prove Theorems via Interacting with Proof Assistants. | Kaiyu Yang, Jia Deng |
| 2018 | AAAI | Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. | Lanlan Liu, Jia Deng |
| 2018 | ACL | Think Visually: Question Answering through Virtual Imagery. | Ankit Goyal, Jian Wang, Jia Deng |
| 2018 | CVPR | Rethinking the Faster R-CNN Architecture for Temporal Action Localization. | Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar |
| 2018 | CVPR | Decorrelated Batch Normalization. | Lei Huang, Dawei Yang, Bo Lang, Jia Deng |
| 2018 | CVPR | Shape From Shading Through Shape Evolution. | Dawei Yang, Jia Deng |
| 2018 | ECCV | CornerNet: Detecting Objects as Paired Keypoints. | Hei Law, Jia Deng |
| 2018 | NAACL | Speaker Naming in Movies. | Mahmoud Azab, Mingzhe Wang, Max Olan Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea |
| 2018 | WACV | Learning to Detect Human-Object Interactions. | Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng |
| 2017 | AAAI | Fine-Grained Car Detection for Visual Census Estimation. | Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei |
| 2017 | CHI | Scalable Annotation of Fine-Grained Categories Without Experts. | Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei |
| 2017 | CVPR | Forecasting Human Dynamics from Static Images. | Yu-Wei Chao, Jimei Yang, Brian L. Price, Scott Cohen, Jia Deng |
| 2017 | CVPR | Temporal Action Localization by Structured Maximal Sums. | Ze-Huan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng |
| 2017 | DASFAA | RTMatch: Real-Time Location Prediction Based on Trajectory Pattern Matching. | Zhenjiang Dong, Jia Deng, Xiaohui Jiang, Yongli Wang |
| 2017 | ICCV | Surface Normals in the Wild. | Weifeng Chen, Donglai Xiang, Jia Deng |
| 2016 | ECCV | Stacked Hourglass Networks for Human Pose Estimation. | Alejandro Newell, Kaiyu Yang, Jia Deng |
| 2016 | ECCV | Structured Matching for Phrase Localization. | Mingzhe Wang, Mahmoud Azab, Noriyuki Kojima, Rada Mihalcea, Jia Deng |
| 2015 | CVPR | Mining semantic affordances of visual object categories. | Yu-Wei Chao, Zhan Wang, Rada Mihalcea, Jia Deng |
| 2015 | CVPR | Learning semantic relationships for better action retrieval in images. | Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei |
| 2015 | ICCV | HICO: A Benchmark for Recognizing Human-Object Interactions in Images. | Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng |
| 2015 | ICCV | Probabilistic Label Relation Graphs with Ising Models. | Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven |
| 2014 | CHI | Scalable multi-label annotation. | Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei |
| 2014 | ECCV | Large-Scale Object Classification Using Label Relation Graphs. | Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam |
| 2014 | ICPR | Learning Features and Parts for Fine-Grained Recognition. | Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei |
| 2013 | CVPR | Fine-Grained Crowdsourcing for Fine-Grained Recognition. | Jia Deng, Jonathan Krause, Li Fei-Fei |
| 2013 | ICCV | From Large Scale Image Categorization to Entry-Level Categories. | Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg |
| 2013 | ICCV | Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? | Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei |
| 2012 | CVPR | Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. | Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei |
| 2012 | HCOMP | Crowdsourcing Annotations for Visual Object Detection. | Hao Su, Jia Deng, Li Fei-Fei |
| 2011 | CVPR | Hierarchical semantic indexing for large scale image retrieval. | Jia Deng, Alexander C. Berg, Li Fei-Fei |
| 2010 | ECCV | What Does Classifying More Than 10, 000 Image Categories Tell Us? | Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei |
| 2009 | CVPR | ImageNet: A large-scale hierarchical image database. | Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei |
| 2008 | ECCV | Towards Scalable Dataset Construction: An Active Learning Approach. | Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei |