Honglu Zhou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Interactive Visualization

Group Activities

Multiscale Representation

Genetic Algorithm To Solve

Top Venues

Publications

Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. CoRR (2024)
Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia
Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. IJCAI (2023)
Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles
Procedure-Aware Pretraining for Instructional Video Understanding. CoRR (2023)
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
MSI: Maximize Support-Set Information for Few-Shot Segmentation. ICCV (2023)
Che-Jui Chang, Honglu Zhou, Parth Goel, Aditya Bhat, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Learning from Synthetic Human Group Activities. CoRR (2023)
Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles
Procedure-Aware Pretraining for Instructional Video Understanding. CVPR (2023)
Muhammad Usman, Honglu Zhou, Seonghyeon Moon, Xun Zhang, Petros Faloutsos, Mubbasir Kapadia
A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research. IEEE Computer Graphics and Applications 43 (1) (2023)
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
HMFS: Hybrid Masking for Few-Shot Segmentation. CoRR (2022)
Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia
Graph-based generative representation learning of semantically and behaviorally augmented floorplans. Vis. Comput. 38 (8) (2022)
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
MSI: Maximize Support-Set Information for Few-Shot Segmentation. CoRR (2022)
Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. CIKM (2022)
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. IJCAI (2022)
Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. ECCV (35) (2022)
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
HM: Hybrid Masking for Few-Shot Segmentation. ECCV (20) (2022)
Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf
COMPOSER: Compositional Learning of Group Activity in Videos. CoRR (2021)
Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. ICLR (2021)
Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. CoRR (2021)
Honglu Zhou, Advith Chegu, Samuel S. Sohn, Mubbasir Kapadia
Investigating Neighborhood Modeling and Asymmetry Preservation in Digraph Representation Learning. CoRR (2021)
Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans. CoRR (2020)
Honglu Zhou, Hareesh Ravi, Carlos Manuel Muñiz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia
GitEvolve: Predicting the Evolution of GitHub Repositories. CoRR (2020)
Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Laying the Foundations of Deep Long-Term Crowd Flow Prediction. ECCV (29) (2020)
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia
HID: Hierarchical Multiscale Representation Learning for Information Diffusion. IJCAI (2020)
Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang
Understanding Echo Chambers in E-commerce Recommender Systems. SIGIR (2020)
Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang
Understanding Echo Chambers in E-commerce Recommender Systems. CoRR (2020)
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Deep Crowd-Flow Prediction in Built Environments. CoRR (2019)
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. MIG (2019)
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. CoRR (2019)
Honglu Zhou, Mingli Song, Witold Pedrycz
A comparative study of improved GA and PSO in solving multiple traveling salesmen problem. Appl. Soft Comput. 64 (2018)
Honglu Zhou, Mingli Song
An improvement of partheno-genetic algorithm to solve multiple travelling salesmen problem. ICIS (2016)