Short Paper: Towards a Location-Aware Role-Based Access Control Model. - Indrakshi Ray; Lijun Yu (SecureComm, 2005)

LRBAC: A Location-Aware Role-Based Access Control Model. - Indrakshi Ray; Mahendra Kumar; Lijun Yu (ICISS, 2006)

A light-weight static approach to analyzing UML behavioral properties. - Lijun Yu; Robert B. France; Indrakshi Ray; Kevin Lano (ICECCS, 2007)

An Or-opt NSGA-II algorithm for multi-objective Vehicle Routing Problem with Time Windows. - Huayu Xu; Wenhui Fan; Tian Wei; Lijun Yu (CASE, 2008)

Scenario-Based Static Analysis of UML Class Models. - Lijun Yu; Robert B. France; Indrakshi Ray (MoDELS, 2008)

A Rigorous Approach to Uncovering Security Policy Violations in UML Designs. - Lijun Yu; Robert B. France; Indrakshi Ray; Sudipto Ghosh 001 (ICECCS, 2009)

Maximum entropy models for mode split forecasting. - Lijun Yu; Xiaoning Zhang (SOLI, 2009)

Systematic Scenario-Based Analysis of UML Design Class Models. - Lijun Yu; Robert B. France; Indrakshi Ray; Wuliang Sun (ICECCS, 2012)

Four types of typical discrete Choice Models: Which are you using? - Lijun Yu; Bin Sun (SOLI, 2012)

Research and Application of Electromagnetic Compatibility Technology. - Hong Zhao; Guofeng Li; Ninghui Wang; Shunli Zheng; Lijun Yu (J. Comput., 2012)

Remote sensing archaeology analysis of Liangzhu culture. - Lijun Yu; Yueping Nie; Lin Yang; Yueyin Yao (Digital Heritage (1), 2013)

Study of EMC Problems with Vehicles. - Hong Zhao; Guofeng Li; Ninghui Wang; Shunli Zheng; Lijun Yu; Yongli Chen (ICICA (1), 2013)

Laplacian Spectral Characterization of Some Unicyclic Graphs. - Lijun Yu; Hui Wang; Jiang Zhou (J. Appl. Math., 2014)

Propagation Based Prototype Prediction. - Tonghua Su; Hongliang Dai; Ce Liu; Lijun Yu (ICDAR, 2017)

GMU: A Novel RNN Neuron and Its Application to Handwriting Recognition. - Li Sun; Tonghua Su; Shengjie Zhou; Lijun Yu (ICDAR, 2017)

GIS-Based Visibility Network and Defensibility Model to Reconstruct Defensive System of the Han Dynasty in Central Xinjiang, China. - Jianfeng Zhu; Yueping Nie; Huaguang Gao; Fang Liu; Lijun Yu (ISPRS Int. J. Geo Inf., 2017)

Traffic Danger Recognition With Surveillance Cameras Without Training Data. - Lijun Yu; Dawei Zhang; Xiangqun Chen; Alexander G. Hauptmann (AVSS, 2018)

MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Games. - Lijun Yu; Dawei Zhang 003; Xiangqun Chen; Xing Xie 001 (CGW@IJCAI, 2018)

MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage between Teams in MOBA Games. - Lijun Yu; Dawei Zhang; Xiangqun Chen; Xing Xie (CoRR, 2018)

Training-free Monocular 3D Event Detection System for Traffic Surveillance. - Lijun Yu; Peng Chen; Wenhe Liu; Guoliang Kang; Alexander G. Hauptmann (IEEE BigData, 2019)

MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. - Xiaojun Chang; Wenhe Liu; Po-Yao Huang 001; Changlin Li; Fengda Zhu; Mingfei Han 002; Mingjie Li 006; Mengyuan Ma; Siyi Hu; Guoliang Kang; Junwei Liang 001; Liangke Gui; et al. (TRECVID, 2019)

Design Optimization of a VX Gasket Structure for a Subsea Connector Based on the Kriging Surrogate Model-NSGA-II Algorithm Considering the Load Randomness. - Wei Zeng 012; Tao Ren; Lijun Yu; Jingjing Huang (Algorithms, 2019)

ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City. - Yijun Qian; Lijun Yu; Wenhe Liu; Alexander G. Hauptmann (CVPR Workshops, 2020)

Zero-VIRUS*: Zero-shot Vehicle Route Understanding System for Intelligent Transportation. - Lijun Yu; Qianyu Feng; Yijun Qian; Wenhe Liu; Alexander G. Hauptmann (CVPR Workshops, 2020)

CMU Informedia at TRECVID 2020: Activity Detection with Dense Spatio-temporal Proposals. - Lijun Yu; Yijun Qian; Wenhe Liu; Alexander G. Hauptmann (TRECVID, 2020)

Argus: Efficient Activity Detection System for Extended Video Analysis. - Wenhe Liu; Guoliang Kang; Po-Yao Huang 001; Xiaojun Chang; Lijun Yu; Yijun Qian; Junwei Liang 001; Liangke Gui; Jing Wen; Peng Chen; Alexander G. Hauptmann (WACV Workshops, 2020)

Adaptive Feature Aggregation for Video Object Detection. - Yijun Qian; Lijun Yu; Wenhe Liu; Guoliang Kang; Alexander G. Hauptmann (WACV Workshops, 2020)

Learning Unbiased Transformer for Long-Tail Sports Action Classification. - Yijun Qian; Lijun Yu; Wenhe Liu; Alexander Hauptmann 001 (MediaEval, 2021)

Trip route simulation for pre-Qin settlements based on a gradient descent and variable-neighborhood ant colony optimization algorithm in the Linfen Basin, China. - Fang Liu; Lijun Yu; Jianfeng Zhu; Yueping Nie; Yu Sun (Earth Sci. Informatics, 2021)

Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions. - Yijun Qian; Lijun Yu; Wenhe Liu; Alexander G. Hauptmann (ECCV (4), 2022)

TRM: Temporal Relocation Module for Video Recognition. - Yijun Qian; Guoliang Kang; Lijun Yu; Wenhe Liu; Alexander G. Hauptmann (WACV (Workshops), 2022)

Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals. - Lijun Yu; Yijun Qian; Wenhe Liu; Alexander G. Hauptmann (WACV (Workshops), 2022)

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)

DocumentNet: Bridging the Data Gap in Document Pre-training. - Lijun Yu; Jin Miao; Xiaoyu Sun; Jiayi Chen; Alexander G. Hauptmann; Hanjun Dai; Wei Wei 019 (EMNLP (Industry Track), 2023)

Score-based Continuous-time Discrete Diffusion Models. - Haoran Sun; Lijun Yu; Bo Dai 001; Dale Schuurmans; Hanjun Dai (ICLR, 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)

Document Entity Retrieval with Massive and Noisy Pre-training. - Lijun Yu; Jin Miao; Xiaoyu Sun; Jiayi Chen; Alexander G. Hauptmann; Hanjun Dai; Wei Wei 019 (CoRR, 2023)

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)

Audio-Journey: Open Domain Latent Diffusion Based Text-To-Audio Generation. - Jackson Michaels; Juncheng B. Li; Laura Yao; Lijun Yu; Zach Wood-Doughty; Florian Metze (ICASSP, 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)

Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization. - Kai Hu; Weichen Yu; Yining Li; Tianjun Yao; Xiang Li; Wenhe Liu; Lijun Yu; Zhiqiang Shen; Kai Chen 026; Matt Fredrikson (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 004; Aren Jansen; Jacob Walker; Krishna Somandepalli (NeurIPS, 2024)

Robust Optimization Model Based on a Static Rebalancing Design for Bike- Sharing Systems Affected by Demand Uncertainty. - Lijun Yu; Yaogeng Xu; Haochen Shi; Zhimin Zhang (IEEE Access, 2024)

Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion. - Lingxiao Zhao; Xueying Ding; Lijun Yu; Leman Akoglu (CoRR, 2024)

Towards Multi-Task Multi-Modal Models: A Video Generative Perspective. - Lijun Yu (CoRR, 2024)

MaskBit: Embedding-free Image Generation via Bit Tokens. - Mark Weber; Lijun Yu; Qihang Yu; Xueqing Deng; Xiaohui Shen; Daniel Cremers; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2024)

Towards Multi-Task Multi-Modal Models: A Video Generative Perspective - Lijun Yu (2024)

Language-Guided Image Tokenization for Generation. - Kaiwen Zha; Lijun Yu; Alireza Fathi; David A. Ross; Cordelia Schmid; Dina Katabi; Xiuye Gu (CVPR, 2025)

YuE: Scaling Open Foundation Models for Long-Form Music Generation. - Ruibin Yuan; Hanfeng Lin; Shuyue Guo; Ge Zhang 009; Jiahao Pan; Yongyi Zang; Haohe Liu; Yiming Liang; Wenye Ma; Xingjian Du; Xinrun Du; Zhen Ye; et al. (CoRR, 2025)

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making. - Xiaopeng Yuan; Xingjian Zhang; Ke Xu; Yifan Xu; Lijun Yu; Jindong Wang; Yushun Dong; Haohan Wang (CoRR, 2025)