Diffuse-Specular Separation and Depth Recovery from Image Sequences. - Stephen Lin 001; Yuanzhen Li; Sing Bing Kang; Xin Tong 001; Heung-Yeung Shum (ECCV (3), 2002)

Multibaseline Stereo in the Presence of Specular Reflections. - Yuanzhen Li; Stephen Lin 001; Hanqing Lu; Sing Bing Kang; Heung-Yeung Shum (ICPR (3), 2002)

Single-Image Reflectance Estimation for Relighting by Iterative Soft Grouping. - Yuanzhen Li; Stephen Lin 001; Sing Bing Kang; Hanqing Lu; Heung-Yeung Shum (PG, 2002)

Multiple-cue Illumination Estimation in Textured Scenes. - Yuanzhen Li; Stephen Lin 001; Hanqing Lu; Heung-Yeung Shum (ICCV, 2003)

Feature congestion: a measure of display clutter. - Ruth Rosenholtz; Yuanzhen Li; Jonathan Mansfield; Zhenlan Jin (CHI, 2005)

Removing photography artifacts using gradient projection and flash-exposure sampling. - Amit K. Agrawal; Ramesh Raskar; Shree K. Nayar; Yuanzhen Li (ACM Trans. Graph., 2005)

Compressing and companding high dynamic range images with subband architectures. - Yuanzhen Li; Lavanya Sharan; Edward H. Adelson (ACM Trans. Graph., 2005)

Computational Photography. - Ramesh Raskar; Jack Tumblin; Ankit Mohan; Amit K. Agrawal; Yuanzhen Li (Eurographics (Tutorials), 2007)

Image mapping using local and global statistics. - Yuanzhen Li; Edward H. Adelson (Human Vision and Electronic Imaging, 2008)

ScribbleBoost: Adding Classification to Edge-Aware Interpolation of Local Image and Video Adjustments. - Yuanzhen Li; Edward H. Adelson; Aseem Agarwala (Comput. Graph. Forum, 2008)

A Contention-Based Routing Protocol for Vehicular Ad Hoc Networks in City Environments. - Tonghong Li; Yuanzhen Li; Jianxin Liao (ICDCS Workshops, 2009)

Flexible Job Shop Scheduling Problem by Chemical-Reaction Optimization Algorithm. - Junqing Li 001; Yuanzhen Li; Huaqing Yang; Kaizhou Gao; Yuting Wang 003; Tao Sun (ICIC (1), 2011)

A New Speculative Execution Algorithm Based on C4.5 Decision Tree for Hadoop. - Yuanzhen Li; Qun Yang; Shangqi Lai; Bohan Li 001 (ICYCSEE, 2015)

A mullti- or many- objective evolutionary algorithm with global loop update. - Yingyu Zhang; Bing Zeng; Yuanzhen Li; Junqing Li 001 (CoRR, 2018)

A Many-Objective Evolutionary Algorithm Based on Decomposition and Local Dominance. - Yingyu Zhang; Yuanzhen Li (CoRR, 2018)

A spanning tree construction algorithm for industrial wireless sensor networks based on quantum artificial bee colony. - Yuanzhen Li; Yang Zhao; Yingyu Zhang (EURASIP J. Wirel. Commun. Netw., 2019)

EPVNE: An Efficient Parallelizable Virtual Network Embedding Algorithm. - Yuanzhen Li; Yingyu Zhang (Wirel. Commun. Mob. Comput., 2019)

A green scheduling algorithm for the distributed flowshop problem. - Yuanzhen Li; Quan-Ke Pan; Kai-Zhou Gao; Mehmet Fatih Tasgetiren; Biao Zhang 003; Jun-Qing Li 001 (Appl. Soft Comput., 2021)

Scene Inference for Object Illumination Editing. - Zhongyun Bao; Chengjiang Long; Gang Fu; Daquan Liu; Yuanzhen Li; Jiaming Wu; Chunxia Xiao (CoRR, 2021)

An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems. - Yuanzhen Li; Quan-Ke Pan; Jun-Qing Li 001; Liang Gao 001; Mehmet Fatih Tasgetiren (Swarm Evol. Comput., 2021)

Self-supervised monocular depth estimation based on image texture detail enhancement. - Yuanzhen Li; Fei Luo 004; Wenjie Li; Shenjie Zheng; Huanhuan Wu; Chunxia Xiao (Vis. Comput., 2021)

Deep Image-based Illumination Harmonization. - Zhongyun Bao; Chengjiang Long; Gang Fu; Daquan Liu; Yuanzhen Li; Jiaming Wu; Chunxia Xiao (CVPR, 2022)

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. - Mark Boss; Andreas Engelhardt; Abhishek Kar; Yuanzhen Li; Deqing Sun; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (NeurIPS, 2022)

LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. - Chun-Han Yao; Wei-Chih Hung; Yuanzhen Li; Michael Rubinstein; Ming-Hsuan Yang 001; Varun Jampani (NeurIPS, 2022)

The distributed flowshop scheduling problem with delivery dates and cumulative payoffs. - Yuanzhen Li; Quan-Ke Pan; Xuan He; Hongyan Sang; Kai-Zhou Gao; Xue-Lei Jing (Comput. Ind. Eng., 2022)

Self-supervised coarse-to-fine monocular depth estimation using a lightweight attention module. - Yuanzhen Li; Fei Luo 004; Chunxia Xiao (Comput. Vis. Media, 2022)

A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion. - Yuanzhen Li; Quan-Ke Pan; Rubén Ruiz; Hongyan Sang (Knowl. Based Syst., 2022)

MetaCLUE: Towards Comprehensive Visual Metaphors Research. - Arjun R. Akula; Brendan Driscoll; Pradyumna Narayana; Soravit Changpinyo; Zhiwei Jia; Suyash Damle; Garima Pruthi; Sugato Basu; Leonidas J. Guibas; William T. Freeman; Yuanzhen Li; Varun Jampani (CVPR, 2023)

ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. - Zixuan Huang 001; Varun Jampani; Anh Thai; Yuanzhen Li; Stefan Stojanov; James M. Rehg (CVPR, 2023)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Yael Pritch; Michael Rubinstein; Kfir Aberman (CVPR, 2023)

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. - Chun-Han Yao; Wei-Chih Hung; Yuanzhen Li; Michael Rubinstein; Ming-Hsuan Yang 001; Varun Jampani (CVPR, 2023)

DreamBooth3D: Subject-Driven Text-to-3D Generation. - Amit Raj; Srinivas Kaza; Ben Poole; Michael Niemeyer; Nataniel Ruiz; Ben Mildenhall; Shiran Zada; Kfir Aberman; Michael Rubinstein; Jonathan T. Barron; Yuanzhen Li; Varun Jampani (ICCV, 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)

Comprehensive evaluation and selection of offshore wind power DC collection system topology. - Shaowu Wang; Jian Shi; Tingting Cheng; Zhanqing Yu; Jin Zhang; Lu Qu; Jie Liu; Zhengning Zi; Yuanzhen Li (iSPEC, 2023)

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. - Varun Jampani; Kevis-Kokitsi Maninis; Andreas Engelhardt; Arjun Karpur; Karen Truong; Kyle Sargent; Stefan Popov; André Araújo 001; Ricardo Martin-Brualla; Kaushal Patel; Daniel Vlasic; Vittorio Ferrari; et al. (NeurIPS, 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)

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. - Chun-Han Yao; Amit Raj; Wei-Chih Hung; Michael Rubinstein; Yuanzhen Li; Ming-Hsuan Yang 001; Varun Jampani (NeurIPS, 2023)

Debiasing Vision-Language Models via Biased Prompts. - Ching-Yao Chuang; Varun Jampani; Yuanzhen Li; Antonio Torralba 001; Stefanie Jegelka (CoRR, 2023)

StraIT: Non-autoregressive Generation with Stratified Image Transformer. - Shengju Qian; Huiwen Chang; Yuanzhen Li; Zizhao Zhang; Jiaya Jia; Han Zhang 010 (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)

Background Prompting for Improved Object Depth. - Manel Baradad; Yuanzhen Li; Forrester Cole; Michael Rubinstein; Antonio Torralba 001; William T. Freeman; Varun Jampani (CoRR, 2023)

Self-Supervised Monocular Depth Estimation by Digging into Uncertainty Quantification. - Yuanzhen Li; Shengjie Zheng; Zi-Xin Tan; Tuo Cao; Fei Luo 004; Chunxia Xiao (J. Comput. Sci. Technol., 2023)

Monocular human depth estimation with 3D motion flow and surface normals. - Yuanzhen Li; Fei Luo 004; Chunxia Xiao (Vis. Comput., 2023)

A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption. - Yuanzhen Li; Kaizhou Gao; Leilei Meng; Ponnuthurai Nagaratnam Suganthan (Eng. Appl. Artif. Intell., 2023)

Probing the 3D Awareness of Visual Foundation Models. - Mohamed El Banani; Amit Raj; Kevis-Kokitsi Maninis; Abhishek Kar; Yuanzhen Li; Michael Rubinstein; Deqing Sun; Leonidas J. Guibas; Justin Johnson 001; Varun Jampani (CVPR, 2024)

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. - Andreas Engelhardt; Amit Raj; Mark Boss; Yunzhi Zhang; Abhishek Kar; Yuanzhen Li; Deqing Sun; Ricardo Martin-Brualla; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (CVPR, 2024)

Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field. - Yuanzhen Li; Fei Luo 004; Chunxia Xiao (CVPR, 2024)

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Wei Wei; Tingbo Hou; Yael Pritch; Neal Wadhwa; Michael Rubinstein; Kfir Aberman (CVPR, 2024)

Alchemist: Parametric Control of Material Properties with Diffusion Models. - Prafull Sharma; Varun Jampani; Yuanzhen Li; Xuhui Jia; Dmitry Lagun; Frédo Durand; Bill Freeman; Mark J. Matthews (CVPR, 2024)

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. - Viraj Shah; Nataniel Ruiz; Forrester Cole; Erika Lu; Svetlana Lazebnik; Yuanzhen Li; Varun Jampani (ECCV (1), 2024)

3D Congealing: 3D-Aware Image Alignment in the Wild. - Yunzhi Zhang; Zizhang Li; Amit Raj; Andreas Engelhardt; Yuanzhen Li; Tingbo Hou; Jiajun Wu 001; Varun Jampani (ECCV (1), 2024)

Lumiere: A Space-Time Diffusion Model for Video Generation. - Omer Bar-Tal; Hila Chefer; Omer Tov; Charles Herrmann; Roni Paiss; Shiran Zada; Ariel Ephrat; Junhwa Hur; Guanghui Liu; Amit Raj; Yuanzhen Li; Michael Rubinstein; et al. (SIGGRAPH Asia, 2024)

Magic Insert: Style-Aware Drag-and-Drop. - Nataniel Ruiz; Yuanzhen Li; Neal Wadhwa; Yael Pritch; Michael Rubinstein; David E. Jacobs; Shlomi Fruchter (CoRR, 2024)

RealFill: Reference-Driven Generation for Authentic Image Completion. - Luming Tang; Nataniel Ruiz; Qinghao Chu; Yuanzhen Li; Aleksander Holynski; David E. Jacobs; Bharath Hariharan; Yael Pritch; Neal Wadhwa; Kfir Aberman; Michael Rubinstein (ACM Trans. Graph., 2024)

CamCtrl3D: Single-Image Scene Exploration with Precise 3D Camera Control. - Stefan Popov; Amit Raj; Michael Krainin; Yuanzhen Li; William T. Freeman; Michael Rubinstein (3DV, 2025)

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. - Lijie Fan; Tianhong Li; Siyang Qin; Yuanzhen Li; Chen Sun 002; Michael Rubinstein; Deqing Sun; Kaiming He; Yonglong Tian (ICLR, 2025)

Unbounded: A Generative Infinite Game of Character Life Simulation. - Jialu Li; Yuanzhen Li; Neal Wadhwa; Yael Pritch; David E. Jacobs; Michael Rubinstein; Mohit Bansal; Nataniel Ruiz (ICLR, 2025)

Modeling and analysis of open-pit coal mine accident causation based on directed weighted network. - Yuanzhen Li; Yunlei She; Ying Shi; Rijia Ding (Reliab. Eng. Syst. Saf., 2025)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. - Lijie Fan; Luming Tang; Siyang Qin; Tianhong Li; Xuan Yang; Siyuan Qiao; Andreas Steiner 001; Chen Sun 002; Yuanzhen Li; Tao Zhu; Michael Rubinstein; Michalis Raptis; et al. (CoRR, 2025)