Informedia@TRECVID 2011: Surveillance Event Detection. - Lei Bao; Longfei Zhang; Shoou-I Yu; Zhen-zhong Lan; Lu Jiang 004; Arnold Overwijk; Qin Jin; Shohei Takahashi; Brian Langner; Yuanpeng Li 001; Michael Garbus; Susanne Burger; et al. (TRECVID, 2011)

Leveraging high-level and low-level features for multimedia event detection. - Lu Jiang 004; Alexander G. Hauptmann; Guang Xiang (ACM Multimedia, 2012)

Informedia @TRECVID 2012. - Shoou-I Yu; Zhongwen Xu; Duo Ding; Waito Sze; Francisco Vicente 001; Zhenzhong Lan; Yang Cai 002; Shourabh Rawat; Peter F. Schulam; Nisarga Markandaiah; Sohail Bahmani; Antonio Juárez; et al. (TRECVID, 2012)

Informedia@TRECVID 2013. - Zhenzhong Lan; Lu Jiang 004; Shoou-I Yu; Chenqiang Gao; Shourabh Rawat; Yang Cai 002; Shicheng Xu; Haoquan Shen; Xuanchong Li; Yipei Wang; Waito Sze; Yan Yan 002; et al. (TRECVID, 2013)

A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition. - Luyu Yang; Chenqiang Gao; Deyu Meng; Lu Jiang 004 (ACCV (5), 2014)

Zero-Example Event Search using MultiModal Pseudo Relevance Feedback. - Lu Jiang 004; Teruko Mitamura; Shoou-I Yu; Alexander G. Hauptmann (ICMR, 2014)

Viral Video Style: A Closer Look at Viral Videos on YouTube. - Lu Jiang 004; Yajie Miao; Yi Yang 001; Zhen-Zhong Lan; Alexander G. Hauptmann (ICMR, 2014)

Towards Efficient Learning of Optimal Spatial Bag-of-Words Representations. - Lu Jiang 004; Wei Tong; Deyu Meng; Alexander G. Hauptmann (ICMR, 2014)

Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search. - Lu Jiang 004; Deyu Meng; Teruko Mitamura; Alexander G. Hauptmann (ACM Multimedia, 2014)

Instructional Videos for Unsupervised Harvesting and Learning of Action Examples. - Shoou-I Yu; Lu Jiang 004; Alexander G. Hauptmann (ACM Multimedia, 2014)

Self-Paced Learning with Diversity. - Lu Jiang 004; Deyu Meng; Shoou-I Yu; Zhen-Zhong Lan; Shiguang Shan; Alexander G. Hauptmann (NIPS, 2014)

Improvements to speaker adaptive training of deep neural networks. - Yajie Miao; Lu Jiang 004; Hao Zhang 025; Florian Metze (SLT, 2014)

Informedia @ TRECVID 2014. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2014)

E-LAMP: integration of innovative ideas for multimedia event detection. - Wei Tong; Yi Yang 001; Lu Jiang 004; Shoou-I Yu; Zhen-zhong Lan; Zhigang Ma; Waito Sze; Ehsan Younessian; Alexander G. Hauptmann (Mach. Vis. Appl., 2014)

Self-Paced Curriculum Learning. - Lu Jiang 004; Deyu Meng; Qian Zhao 002; Shiguang Shan; Alexander G. Hauptmann (AAAI, 2015)

Self-Paced Learning for Matrix Factorization. - Qian Zhao 002; Deyu Meng; Lu Jiang 004; Qi Xie; Zongben Xu; Alexander G. Hauptmann (AAAI, 2015)

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. - Dingwen Zhang; Deyu Meng; Chao Li 028; Lu Jiang 004; Qian Zhao 002; Junwei Han 001 (ICCV, 2015)

Bridging the Ultimate Semantic Gap: A Semantic Search Engine for Internet Videos. - Lu Jiang 004; Shoou-I Yu; Deyu Meng; Teruko Mitamura; Alexander G. Hauptmann (ICMR, 2015)

Incremental Multimodal Query Construction for Video Search. - Shicheng Xu; Huan Li; Xiaojun Chang; Shoou-I Yu; Xingzhong Du; Xuanchong Li; Lu Jiang 004; Zexi Mao; Zhen-Zhong Lan; Susanne Burger; Alexander G. Hauptmann (ICMR, 2015)

Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Yi Yang 001; Alexander G. Hauptmann (ICMR, 2015)

Fast and Accurate Content-based Semantic Search in 100M Internet Videos. - Lu Jiang 004; Shoou-I Yu; Deyu Meng; Yi Yang 001; Teruko Mitamura; Alexander G. Hauptmann (ACM Multimedia, 2015)

Early Implementation Experience with Wearable Cognitive Assistance Applications. - Zhuo Chen; Lu Jiang 004; Wenlu Hu; Kiryong Ha; Brandon Amos; Padmanabhan Pillai; Alexander G. Hauptmann; Mahadev Satyanarayanan (WearSys@MobiSys, 2015)

CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2015)

Learning to Detect Concepts from Webly-Labeled Video Data. - Junwei Liang 001; Lu Jiang 004; Deyu Meng; Alexander G. Hauptmann (IJCAI, 2016)

Informedia @ TRECVID 2016. - Junwei Liang 001; Jia Chen 001; Poyao Huang 001; Xuanchong Li; Lu Jiang 004; Zhenzhong Lan; Pingbo Pan; Hehe Fan; Qin Jin; Jiande Sun 001; Yang Chen; Yi Yang 001; et al. (TRECVID, 2016)

Web-scale Multimedia Search for Internet Video Content. - Lu Jiang 004 (WWW (Companion Volume), 2016)

Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning. - Junwei Liang 001; Lu Jiang 004; Deyu Meng; Alexander G. Hauptmann (CoRR, 2016)

Strategies for Searching Video Content with Text Queries or Video Examples. - Shoou-I Yu; Yi Yang 001; Zhongwen Xu; Shicheng Xu; Deyu Meng; Zexi Mao; Zhigang Ma; Ming Lin 002; Xuanchong Li; Huan Li; Zhen-Zhong Lan; Lu Jiang 004; et al. (CoRR, 2016)

Text-to-video: a semantic search engine for internet videos. - Lu Jiang 004; Shoou-I Yu; Deyu Meng; Teruko Mitamura; Alexander G. Hauptmann (Int. J. Multim. Inf. Retr., 2016)

Visual Memory QA: Your Personal Photo and Video Search Agent. - Lu Jiang 004; Liangliang Cao; Yannis Kalantidis; Sachin Farfade; Alexander G. Hauptmann (AAAI, 2017)

An Event Reconstruction Tool for Conflict Monitoring Using Social Media. - Junwei Liang 001; Desai Fan; Han Lu; Poyao Huang 001; Jia Chen 001; Lu Jiang 004; Alexander G. Hauptmann (AAAI, 2017)

Webly-Supervised Learning of Multimodal Video Detectors. - Junwei Liang 001; Lu Jiang 004; Alexander G. Hauptmann (AAAI, 2017)

Temporal localization of audio events for conflict monitoring in social media. - Junwei Liang 001; Lu Jiang 004; Alexander G. Hauptmann (ICASSP, 2017)

Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data. - Junwei Liang 001; Lu Jiang 004; Deyu Meng; Alexander G. Hauptmann (ICMR, 2017)

Video Search via Ranking Network with Very Few Query Exemplars. - De Cheng; Lu Jiang 004; Yihong Gong; Nanning Zheng 001; Alexander G. Hauptmann (MMM (2), 2017)

Delving Deep into Personal Photo and Video Search. - Lu Jiang 004; Yannis Kalantidis; Liangliang Cao; Sachin Farfade; Jiliang Tang; Alexander G. Hauptmann (WSDM, 2017)

Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification. - Poyao Huang 001; Ye Yuan; Zhen-Zhong Lan; Lu Jiang 004; Alexander G. Hauptmann (CoRR, 2017)

MemexQA: Visual Memex Question Answering. - Lu Jiang 004; Junwei Liang 001; Liangliang Cao; Yannis Kalantidis; Sachin Farfade; Alexander G. Hauptmann (CoRR, 2017)

Graph Distillation for Action Detection with Privileged Information. - Zelun Luo; Lu Jiang 004; Jun-Ting Hsieh; Juan Carlos Niebles; Li Fei-Fei 001 (CoRR, 2017)

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. - Lu Jiang 004; Zhengyuan Zhou; Thomas Leung; Li-Jia Li 001; Li Fei-Fei 001 (CoRR, 2017)

A theoretical understanding of self-paced learning. - Deyu Meng; Qian Zhao 002; Lu Jiang 004 (Inf. Sci., 2017)

Revealing Event Saliency in Unconstrained Video Collection. - Dingwen Zhang; Junwei Han 001; Lu Jiang 004; Senmao Ye; Xiaojun Chang (IEEE Trans. Image Process., 2017)

Focal Visual-Text Attention for Visual Question Answering. - Junwei Liang 001; Lu Jiang 004; Liangliang Cao; Li-Jia Li 001; Alexander G. Hauptmann (CVPR, 2018)

Graph Distillation for Action Detection with Privileged Modalities. - Zelun Luo; Jun-Ting Hsieh; Lu Jiang 004; Juan Carlos Niebles; Li Fei-Fei 001 (ECCV (14), 2018)

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. - Lu Jiang 004; Zhengyuan Zhou; Thomas Leung; Li-Jia Li 001; Li Fei-Fei 001 (ICML, 2018)

Decoupled Novel Object Captioner. - Yu Wu 011; Linchao Zhu; Lu Jiang 004; Yi Yang 001 (ACM Multimedia, 2018)

Robust Neural Machine Translation with Doubly Adversarial Inputs. - Yong Cheng; Lu Jiang 004; Wolfgang Macherey (ACL (1), 2019)

Contrastive Adaptation Network for Unsupervised Domain Adaptation. - Guoliang Kang; Lu Jiang 004; Yi Yang 001; Alexander G. Hauptmann (CVPR, 2019)

Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. - Junwei Liang 001; Lu Jiang 004; Juan Carlos Niebles; Alexander G. Hauptmann; Li Fei-Fei 001 (CVPR, 2019)

Composing Text and Image for Image Retrieval - an Empirical Odyssey. - Nam Vo; Lu Jiang 004; Chen Sun 002; Kevin Murphy 002; Li-Jia Li 001; Li Fei-Fei 001; James Hays (CVPR, 2019)

Eidetic 3D LSTM: A Model for Video Prediction and Beyond. - Yunbo Wang; Lu Jiang 004; Ming-Hsuan Yang 001; Li-Jia Li 001; Mingsheng Long; Li Fei-Fei 001 (ICLR (Poster), 2019)

Let's Transfer Transformations of Shared Semantic Representations. - Nam Vo; Lu Jiang 004; James Hays (CoRR, 2019)

Feature Partitioning for Efficient Multi-Task Architectures. - Alejandro Newell; Lu Jiang 004; Chong Wang 002; Li-Jia Li 001; Jia Deng 001 (CoRR, 2019)

Neural Design Network: Graphic Layout Generation with Constraints. - Hsin-Ying Lee 001; Weilong Yang; Lu Jiang 004; Madison Le; Irfan Essa; Haifeng Gong; Ming-Hsuan Yang 001 (CoRR, 2019)

Focal Visual-Text Attention for Memex Question Answering. - Junwei Liang 001; Lu Jiang 004; Liangliang Cao; Yannis Kalantidis; Li-Jia Li 001; Alexander G. Hauptmann (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. - Yong Cheng; Lu Jiang 004; Wolfgang Macherey; Jacob Eisenstein (ACL, 2020)

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. - Junwei Liang 001; Lu Jiang 004; Kevin P. Murphy; Ting Yu 003; Alexander G. Hauptmann (CVPR, 2020)

Neural Design Network: Graphic Layout Generation with Constraints. - Hsin-Ying Lee 001; Lu Jiang 004; Irfan Essa; Phuong B. Le; Haifeng Gong; Ming-Hsuan Yang 001; Weilong Yang (ECCV (3), 2020)

SimAug: Learning Robust Representations from Simulation for Trajectory Prediction. - Junwei Liang 001; Lu Jiang 004; Alexander G. Hauptmann (ECCV (13), 2020)

RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval. - Hung-Yu Tseng; Hsin-Ying Lee 001; Lu Jiang 004; Ming-Hsuan Yang 001; Weilong Yang (ECCV (8), 2020)

Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels. - Lu Jiang 004; Di Huang; Mason Liu; Weilong Yang (ICML, 2020)

SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras. - Junwei Liang 001; Lu Jiang 004; Alexander G. Hauptmann (CoRR, 2020)

Revisiting EmbodiedQA: A Simple Baseline and Beyond. - Yu Wu 011; Lu Jiang 004; Yi Yang 001 (IEEE Trans. Image Process., 2020)

Regularizing Generative Adversarial Networks Under Limited Data. - Hung-Yu Tseng; Lu Jiang 004; Ce Liu 001; Ming-Hsuan Yang 001; Weilong Yang (CVPR, 2021)

Faster Meta Update Strategy for Noise-Robust Deep Learning. - Youjiang Xu; Linchao Zhu; Lu Jiang 004; Yi Yang 001 (CVPR, 2021)

Self-supervised and Supervised Joint Training for Resource-rich Machine Translation. - Yong Cheng; Wei Wang; Lu Jiang 004; Wolfgang Macherey (ICML, 2021)

Text as Neural Operator: Image Manipulation by Text Instruction. - Tianhao Zhang; Hung-Yu Tseng; Lu Jiang 004; Weilong Yang; Honglak Lee; Irfan Essa (ACM Multimedia, 2021)

Controllable and Progressive Image Extrapolation. - Yijun Li 001; Lu Jiang 004; Ming-Hsuan Yang 001 (WACV, 2021)

Confident Learning: Estimating Uncertainty in Dataset Labels. - Curtis G. Northcutt; Lu Jiang 004; Isaac L. Chuang (J. Artif. Intell. Res., 2021)

MaskGIT: Masked Generative Image Transformer. - Huiwen Chang; Han Zhang 010; Lu Jiang 004; Ce Liu 001; William T. Freeman (CVPR, 2022)

Pyramid Adversarial Training Improves ViT Performance. - Charles Herrmann; Kyle Sargent; Lu Jiang 004; Ramin Zabih; Huiwen Chang; Ce Liu 001; Dilip Krishnan; Deqing Sun (CVPR, 2022)

BLT: Bidirectional Layout Transformer for Controllable Layout Generation. - Xiang Kong; Lu Jiang 004; Huiwen Chang; Han Zhang 010; Yuan Hao; Haifeng Gong; Irfan Essa (ECCV (17), 2022)

Improved Masked Image Generation with Token-Critic. - José Lezama; Huiwen Chang; Lu Jiang 004; Irfan Essa (ECCV (23), 2022)

ViTGAN: Training GANs with Vision Transformers. - Kwonjoon Lee; Huiwen Chang; Lu Jiang 004; Han Zhang 010; Zhuowen Tu; Ce Liu 001 (ICLR, 2022)

Discrete Representations Strengthen Vision Transformer Robustness. - Chengzhi Mao; Lu Jiang 004; Mostafa Dehghani 001; Carl Vondrick; Rahul Sukthankar; Irfan Essa (ICLR, 2022)

Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation. - Guoliang Kang; Lu Jiang 004; Yunchao Wei; Yi Yang 001; Alexander Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Visual Prompt Tuning for Generative Transfer Learning. - Kihyuk Sohn; Huiwen Chang; José Lezama; Luisa Polania; Han Zhang 010; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

MAGVIT: Masked Generative Video Transformer. - Lijun Yu; Yong Cheng; Kihyuk Sohn; José Lezama; Han Zhang 010; Huiwen Chang; Alexander G. Hauptmann; Ming-Hsuan Yang 001; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

Discrete Predictor-Corrector Diffusion Models for Image Synthesis. - José Lezama; Tim Salimans; Lu Jiang 004; Huiwen Chang; Jonathan Ho; Irfan Essa (ICLR, 2023)

Muse: Text-To-Image Generation via Masked Generative Transformers. - Huiwen Chang; Han Zhang 010; Jarred Barber; Aaron Maschinot; José Lezama; Lu Jiang 004; Ming-Hsuan Yang 001; Kevin Patrick Murphy; William T. Freeman; Michael Rubinstein; Yuanzhen Li; Dilip Krishnan (ICML, 2023)

StyleDrop: Text-to-Image Synthesis of Any Style. - Kihyuk Sohn; Lu Jiang 004; Jarred Barber; Kimin Lee; Nataniel Ruiz; Dilip Krishnan; Huiwen Chang; Yuanzhen Li; Irfan Essa; Michael Rubinstein; Yuan Hao; Glenn Entis; et al. (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 Essa; Yonatan Bisk; Ming-Hsuan Yang 001; Kevin P. Murphy; Alexander G. Hauptmann; et al. (NeurIPS, 2023)

Learning Disentangled Prompts for Compositional Image Synthesis. - Kihyuk Sohn; Albert E. Shaw; Yuan Hao; Han Zhang 010; Luisa Polania; Huiwen Chang; Lu Jiang 004; Irfan Essa (CoRR, 2023)

StyleDrop: Text-to-Image Generation in Any Style. - Kihyuk Sohn; Nataniel Ruiz; Kimin Lee; Daniel Castro Chin; Irina Blok; Huiwen Chang; Jarred Barber; Lu Jiang 004; Glenn Entis; Yuanzhen Li; Yuan Hao; Irfan Essa; et al. (CoRR, 2023)

Switchable Novel Object Captioner. - Yu Wu 011; Lu Jiang 004; Yi Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Text-Driven Image Editing via Learnable Regions. - Yuanze Lin; Yi-Wen Chen; Yi-Hsuan Tsai; Lu Jiang 004; Ming-Hsuan Yang 001 (CVPR, 2024)

Auditing Gender Presentation Differences in Text-to-Image Models. - Yanzhe Zhang; Lu Jiang 004; Greg Turk; Diyi Yang (EAAMO, 2024)

Photorealistic Video Generation with Diffusion Models. - Agrim Gupta; Lijun Yu; Kihyuk Sohn; Xiuye Gu; Meera Hahn; Fei-Fei Li 001; Irfan Essa; Lu Jiang 004; José Lezama (ECCV (79), 2024)

Language Model Beats Diffusion - Tokenizer is key to visual generation. - Lijun Yu; José Lezama; Nitesh Bharadwaj Gundavarapu; Luca Versari; Kihyuk Sohn; David Minnen; Yong Cheng; Agrim Gupta; Xiuye Gu; Alexander G. Hauptmann; Boqing Gong; Ming-Hsuan Yang 001; et al. (ICLR, 2024)

VideoPoet: A Large Language Model for Zero-Shot Video Generation. - Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Grant Schindler; Rachel Hornung; Vighnesh Birodkar; Jimmy Yan; Ming-Chang Chiu; Krishna Somandepalli; Hassan Akbari; et al. (ICML, 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 004; Aren Jansen; Jacob Walker; Krishna Somandepalli (NeurIPS, 2024)

VideoGLUE: Video General Understanding Evaluation of Foundation Models. - Liangzhe Yuan; Nitesh Bharadwaj Gundavarapu; Long Zhao 003; Hao Zhou 014; Yin Cui; Lu Jiang 004; Xuan Yang; Menglin Jia; Tobias Weyand; Luke Friedman; Mikhail Sirotenko; Huisheng Wang; et al. (Trans. Mach. Learn. Res., 2024)

Visual Content Generation in the Era of Large Foundation Models. - Leigang Qu; Fei Shen; Zhenglin Zhou; Jiayi Lyu; Wenjie Wang 007; Lu Jiang 004 (ICMR, 2025)

Fine-grained Controllable Video Generation via Object Appearance and Context. - Hsin-Ping Huang; Yu-Chuan Su; Deqing Sun; Lu Jiang 004; Xuhui Jia; Yukun Zhu; Ming-Hsuan Yang 001 (WACV, 2025)

Guest Editorial: Special Issue on Large-Scale Generative Models for Content Creation and Manipulation. - Shengfeng He; Lin Gao 004; Hongbo Fu 001; Varun Jampani; Lu Jiang 004; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2025)