Jiang, Lu

60 publications

NeurIPS 2025 Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation Shanchuan Lin, Ceyuan Yang, Hao He, Jianwen Jiang, Yuxi Ren, Xin Xia, Yang Zhao, Xuefeng Xiao, Lu Jiang

AAAI 2025 Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang

ICCV 2025 CameraCtrl II: Dynamic Scene Exploration via Camera-Controlled Video Diffusion Models Hao He, Ceyuan Yang, Shanchuan Lin, Yinghao Xu, Meng Wei, Liangke Gui, Qi Zhao, Gordon Wetzstein, Lu Jiang, Hongsheng Li

ICML 2025 Diffusion Adversarial Post-Training for One-Step Video Generation Shanchuan Lin, Xin Xia, Yuxi Ren, Ceyuan Yang, Xuefeng Xiao, Lu Jiang

WACV 2025 Fine-Grained Controllable Video Generation via Object Appearance and Context Hsin-Ping Huang, Yu-Chuan Su, Deqing Sun, Lu Jiang, Xuhui Jia, Yukun Zhu, Ming-Hsuan Yang

ICCV 2025 Long Context Tuning for Video Generation Yuwei Guo, Ceyuan Yang, Ziyan Yang, Zhibei Ma, Zhijie Lin, Zhenheng Yang, Dahua Lin, Lu Jiang

NeurIPS 2025 Prompt-Guided Disentangled Representation for Action Recognition Tianci Wu, Guangming Zhu, Lu Jiang, Siyuan Wang, Ning Wang, Nuoye Xiong, Zhang Liang

AAAI 2025 RATT: A Thought Structure for Coherent and Correct LLM Reasoning Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu

AAAI 2025 Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning Jiawei Liu, Yuanbo Xu, Shanshan Song, Lu Jiang

CVPR 2025 SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Jianyi Wang, Zhijie Lin, Meng Wei, Yang Zhao, Ceyuan Yang, Chen Change Loy, Lu Jiang

ICCV 2025 Synthetic Video Enhances Physical Fidelity in Video Synthesis Qi Zhao, Xingyu Ni, Ziyu Wang, Feng Cheng, Ziyan Yang, Lu Jiang, Bohan Wang

NeurIPS 2025 UVE: Are MLLMs Unified Evaluators for AI-Generated Videos? Yuanxin Liu, Rui Zhu, Shuhuai Ren, Jiacong Wang, Haoyuan Guo, Xu Sun, Lu Jiang

ICCV 2025 VideoAuteur: Towards Long Narrative Video Generation Junfei Xiao, Feng Cheng, Lu Qi, Liangke Gui, Yang Zhao, Shanchuan Lin, Jiepeng Cen, Zhibei Ma, Alan Yuille, Lu Jiang

NeurIPS 2025 Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang

NeurIPS 2024 A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli

IJCAI 2024 Hierarchical Reinforcement Learning for Point of Interest Recommendation Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin

IJCAI 2024 Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin

ICLR 2024 Language Model Beats Diffusion - Tokenizer Is Key to Visual Generation Lijun Yu, Jose Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A Ross, Lu Jiang

ECCV 2024 Photorealistic Video Generation with Diffusion Models Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, Jose Lezama

AAAI 2024 Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang

IJCAI 2024 TFWT: Tabular Feature Weighting with Transformer Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu

CVPR 2024 Text-Driven Image Editing via Learnable Regions Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang

TMLR 2024 VideoGLUE: Video General Understanding Evaluation of Foundation Models Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong

ICML 2024 VideoPoet: A Large Language Model for Zero-Shot Video Generation Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jose Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A Ross, Bryan Seybold, Lu Jiang

ICLR 2023 Discrete Predictor-Corrector Diffusion Models for Image Synthesis Jose Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa

CVPR 2023 MAGVIT: Masked Generative Video Transformer Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

AAAI 2023 Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin

ICML 2023 Muse: Text-to-Image Generation via Masked Generative Transformers Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan

NeurIPS 2023 SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan A. Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander Hauptmann, Lu Jiang

NeurIPS 2023 StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan A. Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

CVPR 2023 Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang

ECCV 2022 BLT: Bidirectional Layout Transformer for Controllable Layout Generation Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa

ICLR 2022 Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa

ECCV 2022 Improved Masked Image Generation with Token-Critic José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa

CVPR 2022 MaskGIT: Masked Generative Image Transformer Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman

CVPR 2022 Pyramid Adversarial Training Improves ViT Performance Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun

ICLR 2022 ViTGAN: Training GANs with Vision Transformers Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu

JAIR 2021 Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

WACV 2021 Controllable and Progressive Image Extrapolation Yijun Li, Lu Jiang, Ming-Hsuan Yang

CVPR 2021 Faster Meta Update Strategy for Noise-Robust Deep Learning Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang

CVPR 2021 Regularizing Generative Adversarial Networks Under Limited Data Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang

ICML 2021 Self-Supervised and Supervised Joint Training for Resource-Rich Machine Translation Yong Cheng, Wei Wang, Lu Jiang, Wolfgang Macherey

ICML 2020 Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels Lu Jiang, Di Huang, Mason Liu, Weilong Yang

ICLR 2020 Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

ECCV 2020 Neural Design Network: Graphic Layout Generation with Constraints Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang

ECCV 2020 RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang

ECCV 2020 SimAug: Learning Robust Representations from Simulation for Trajectory Prediction Junwei Liang, Lu Jiang, Alexander Hauptmann

ICLR 2019 Eidetic 3D LSTM: A Model for Video Prediction and Beyond Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei

CVPRW 2019 Peeking into the Future: Predicting Future Person Activities and Locations in Videos Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei

CVPRW 2019 State-Aware Re-Identification Feature for Multi-Target Multi-Camera Tracking Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang

ECCV 2018 Graph Distillation for Action Detection with Privileged Modalities Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei

ICML 2018 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

AAAI 2017 An Event Reconstruction Tool for Conflict Monitoring Using Social Media Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander G. Hauptmann

AAAI 2017 Visual Memory QA: Your Personal Photo and Video Search Agent Lu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann

AAAI 2017 Webly-Supervised Learning of Multimodal Video Detectors Junwei Liang, Lu Jiang, Alexander G. Hauptmann

IJCAI 2016 Learning to Detect Concepts from Webly-Labeled Video Data Junwei Liang, Lu Jiang, Deyu Meng, Alexander G. Hauptmann

ICCV 2015 A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han

AAAI 2015 Self-Paced Curriculum Learning Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann

AAAI 2015 Self-Paced Learning for Matrix Factorization Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann

NeurIPS 2014 Self-Paced Learning with Diversity Lu Jiang, Deyu Meng, Shoou-I Yu, Zhenzhong Lan, Shiguang Shan, Alexander Hauptmann