An improvement of partheno-genetic algorithm to solve multiple travelling salesmen problem. - Honglu Zhou; Mingli Song (ICIS, 2016)

A comparative study of improved GA and PSO in solving multiple traveling salesmen problem. - Honglu Zhou; Mingli Song; Witold Pedrycz (Appl. Soft Comput., 2018)

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. - Gang Qiao; Honglu Zhou; Mubbasir Kapadia; Sejong Yoon; Vladimir Pavlovic 001 (MIG, 2019)

Deep Crowd-Flow Prediction in Built Environments. - Samuel S. Sohn; Seonghyeon Moon; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (CoRR, 2019)

Laying the Foundations of Deep Long-Term Crowd Flow Prediction. - Samuel S. Sohn; Honglu Zhou; Seonghyeon Moon; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (ECCV (29), 2020)

HID: Hierarchical Multiscale Representation Learning for Information Diffusion. - Honglu Zhou; Shuyuan Xu; Zuohui Fu; Gerard de Melo; Yongfeng Zhang; Mubbasir Kapadia (IJCAI, 2020)

Understanding Echo Chambers in E-commerce Recommender Systems. - Yingqiang Ge; Shuya Zhao; Honglu Zhou; Changhua Pei; Fei Sun 001; Wenwu Ou; Yongfeng Zhang (SIGIR, 2020)

GitEvolve: Predicting the Evolution of GitHub Repositories. - Honglu Zhou; Hareesh Ravi; Carlos Manuel Muñiz; Vahid Azizi 003; Linda Ness; Gerard de Melo; Mubbasir Kapadia (CoRR, 2020)

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. - Honglu Zhou; Asim Kadav; Farley Lai; Alexandru Niculescu-Mizil; Martin Renqiang Min; Mubbasir Kapadia; Hans Peter Graf (ICLR, 2021)

COMPOSER: Compositional Learning of Group Activity in Videos. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (CoRR, 2021)

Investigating Neighborhood Modeling and Asymmetry Preservation in Digraph Representation Learning. - Honglu Zhou; Advith Chegu; Samuel S. Sohn; Mubbasir Kapadia (CoRR, 2021)

D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. - Honglu Zhou; Advith Chegu; Samuel S. Sohn; Zuohui Fu; Gerard de Melo; Mubbasir Kapadia (CIKM, 2022)

HM: Hybrid Masking for Few-Shot Segmentation. - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Muhammad Haris Khan; Mubbasir Kapadia (ECCV (20), 2022)

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (ECCV (35), 2022)

Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. - Samuel S. Sohn; Seonghyeon Moon; Honglu Zhou; Mihee Lee; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (IJCAI, 2022)

HMFS: Hybrid Masking for Few-Shot Segmentation. - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Muhammad Haris Khan; Mubbasir Kapadia (CoRR, 2022)

Graph-based generative representation learning of semantically and behaviorally augmented floorplans. - Vahid Azizi 003; Muhammad Usman 010; Honglu Zhou; Petros Faloutsos; Mubbasir Kapadia (Vis. Comput., 2022)

Procedure-Aware Pretraining for Instructional Video Understanding. - Honglu Zhou; Roberto Martín-Martín; Mubbasir Kapadia; Silvio Savarese; Juan Carlos Niebles (CVPR, 2023)

MSI: Maximize Support-Set Information for Few-Shot Segmentation. - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Muhammad Haris Khan; Mubbasir Kapadia (ICCV, 2023)

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. - Honglu Zhou; Advith Chegu; Samuel S. Sohn; Zuohui Fu; Gerard de Melo; Mubbasir Kapadia (IJCAI, 2023)

A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research. - Muhammad Usman 010; Honglu Zhou; Seonghyeon Moon; Xun Zhang; Petros Faloutsos; Mubbasir Kapadia (IEEE Computer Graphics and Applications, 2023)

Learning from Synthetic Human Group Activities. - Che-Jui Chang; Honglu Zhou; Parth Goel; Aditya Bhat; Seonghyeon Moon; Samuel S. Sohn; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (CoRR, 2023)

Learning from Synthetic Human Group Activities. - Che-Jui Chang; Danrui Li; Deep Patel; Parth Goel; Honglu Zhou; Seonghyeon Moon; Samuel S. Sohn; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (CVPR, 2024)

Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. - Kumaranage Ravindu Yasas Nagasinghe; Honglu Zhou; Malitha Gunawardhana; Martin Renqiang Min; Daniel Harari; Muhammad Haris Khan (CVPR, 2024)

Matching Confidences and Softened Target Occurrences for Calibration. - Vinith Kugathasan; Honglu Zhou; Zachary Izzo; Gayal Kuruppu; Sanoojan Baliah; Muhammad Haris Khan (DICTA, 2024)

xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. - Can Qin; Congying Xia; Krithika Ramakrishnan; Michael S. Ryoo; Lifu Tu; Yihao Feng; Manli Shu; Honglu Zhou; Anas Awadalla; Jun Wang 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. - Michael S. Ryoo; Honglu Zhou; Shrikant Kendre; Can Qin; Le Xue; Manli Shu; Silvio Savarese; Ran Xu 001; Caiming Xiong; Juan Carlos Niebles (CoRR, 2024)

ViUniT: Visual Unit Tests for More Robust Visual Programming. - Artemis Panagopoulou; Honglu Zhou; Silvio Savarese; Caiming Xiong; Chris Callison-Burch; Mark Yatskar; Juan Carlos Niebles (CVPR, 2025)

Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization. - Chamuditha Jayanga Galappaththige; Zachary Izzo; Xilin He; Honglu Zhou; Muhammad Haris Khan (WACV, 2025)

Unifying Specialized Visual Encoders for Video Language Models. - Jihoon Chung; Tyler Zhu; Max Gonzalez Saez-Diez; Juan Carlos Niebles; Honglu Zhou; Olga Russakovsky (CoRR, 2025)

CASIM: Composite Aware Semantic Injection for Text to Motion Generation. - Che-Jui Chang; Tony Qingze Liu; Honglu Zhou; Vladimir Pavlovic 001; Mubbasir Kapadia (CoRR, 2025)

Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D. - Artemis Panagopoulou; Le Xue; Honglu Zhou; Silvio Savarese; Ran Xu 001; Caiming Xiong; Chris Callison-Burch; Mark Yatskar; Juan Carlos Niebles (CoRR, 2025)