I'm currently a PhD student (4th year) from Computer Science Department at Rutgers University (since 2017 Fall), under the supervision of Prof. Mubbasir Kapadia. Before that, I received my Bachelor of Engineering in Computer Science and Technology in 2017, and Bachelor of Arts in TV Editing and Directing (Post-production of Television) in 2016, both from Communication University of China.
If you are an undergraduate or master student interested in research, please feel free to contact me. We are looking for outstanding students to engage in ongoing research projects.
Deep Learning, Computer Vision, Graph Embedding, Crowd Dynamics.
Video spatio-temporal reasoning and object tracking;
Predict the visual crowd trajectories with computer vision techniques and virtual simulations;
Learn low-dimensional vector representations for graphs;
Embed semantically and behaviourally augmented floorplans to enable intelligent and automatic floorplan design;
Foresee human interaction patterns in online environment (e.g., information/product adoption patterns).
Particularly, I'm passionate about the next-generation machine intelligence, especially machine learning and reasoning over structured data, such as graphs, images, videos, and broadly, sequences. Currently, my research is focusing on (1) graph-based modeling and representation learning, and (2) predicting spatiotemporal sequential patterns.
1 paper has been accepted by The Visual Computer ! [Paper]
Checkout my talk on Convolutional Graph Neural Networks and Applications ! [YouTube]
1 paper has been accepted by ICLR 2021 ! [Paper]
1 paper has been accepted by SimAUD 2020 ! [Paper]
Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, and Hans Peter Graf. “Hopper: Multi-hop Transformer for Spatiotemporal Reasoning.” International Conference on Learning Representations, 2021 (ICLR 2021). [Paper]
Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos and Mubbasir Kapadia. “Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans.” The Visual Computer, 1-16, Springer Berlin Heidelberg, 2021/05/24. [Paper]
Honglu Zhou, Hareesh Ravi, Carlos Muniz, Vahid Azizi, Mubbasir Kapadia, Gerard de Melo, Linda Ness. “GitEvolve: Predicting Evolution of GitHub Repositories.” arXiv preprint arXiv:2010.04366 (2020). [Code][Paper]
Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, and Mubbasir Kapadia.“Laying the Foundations of Deep Long-Term Crowd Flow Prediction.” Proceedings of the European Conference on Computer Vision, 2020 (ECCV 2020). – Acceptance Rate: 27%. [Code][Paper]
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia.“HID: Hierarchical Multiscale Representation Learning for Information Diffusion.” Proceedings of the International Joint Conferences on Artificial Intelligence, 2020 (IJCAI 2020). – Acceptance Rate: 12.6%. [Code][Paper]
Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou and Yongfeng Zhang. “Understanding Echo Chambers in E-commerce Recommender Systems.” Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). – Acceptance Rate: 27.5%. [Code][Paper]
Vahid Azizi, Muhammad Usman, Samarth Patel, Davide Schaumann, Honglu Zhou, Petros Faloutsos and Mubbasir Kapadia. “Floorplan Embedding with Latent Semantics and Human Behavior Annotations.” Proceedings of the 11th Annual Symposium on Simulation for Architecture andUrban Design, 2020 (SimAUD 2020) [Paper]
Sam Sohn, Seonghyeon Moon, Honglu Zhou, Mubbasir Kapadia, Vladimir Pavlovic, Sejong Yoon. “Deep Crowd-Flow Prediction in Built Environments.” Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI + HADR), NeurIPS 2019. [Paper]
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic. “Scenario Generalization of Data-Driven Imitation Models in Crowd Simulation.” Proceedings of the 12th annual ACM/SIGGRAPH conference on Motion, Interaction and Games (MIG 2019). [Paper]
Honglu Zhou, Mingli Song, Witold Pedrycz. “A Comparative Study of Improved GA and PSO in Solving Multiple Traveling Salesmen Problem.” Applied Soft Computing 64 (2018): 564-580. [Paper]
Honglu Zhou, Mingli Song. “An Improvement of Partheno-Genetic Algorithm to Solve Multiple Travelling Salesmen Problem.” Proceedings of the IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS 2016). IEEE, 2016. [Paper]
Spatiotemporal Object-Centric Reasoning in Videos
Hyperbolic Graph Representation Leaning
Deep Long-Term Crowd-Flow Prediction in Arbitrary Environment
Semantically and Behaviourally Augmented Floorplan Embedding
Multiscale Modeling of Online Social Environments
SocialSim: Computational Simulation of Online Social Behavior
Exploring Echo Chamber in Real-World E-Commerce Recommenders
Services and Activities:
IJCAI-PRICAI 2020, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, Jan, 2021.
ACM SIGGRAPH 2018 Conference in Vancouver, Canada, Aug. 2018.
Assisted the conference throughout various shifts. Work duties include merchandise distribution, attendee interactive experience assistance, conference activity and media coordination.
RadioAsia 2016 Conference in Beijing, China, Apr. 2016.
Acted as an assistant for IT department manager from Asia-Pacific Broadcasting Union and coordinated work with China National Radio Station. Work duties include translation, maintenance, coordination and management.
Cui Yongyuan Oral History Museum, Jul. 2014.
Digitized and archived precious diaries from historical eminent persons.
Reviewer for NeurIPS 2021.
Reviewer for SCA 2021.
Reviewer for ICCV 2021.
Reviewer for CVPR 2021.
Reviewer for "Transactions on Signal and Information Processing over Networks".
External Reviewer for "ICDM: International Conference on Data Mining 2020".
Program Committee Member for "the IJCAI workshop on Neural Cognitive Modeling of Humans and Environments 2020".
External Reviewer once for "GMOD: Graphical Models".
External Reviewer once for "TVCG: IEEE Transactions on Visualization and Computer Graphics".
External Reviewer once for "CASA: Computer Animation and Social Agents 2018".
Rutgers University, Department of Computer Science, Software Engineering (198:431:F20), Sept. 2020 - Dec. 2020.
Rutgers University, Department of Computer Science, Internet Technology (198:352:S20), Jan. 2020 - May 2020.
Rutgers University, Department of Computer Science, Internet Technology (198:352:F19), Sept. 2019 - Dec. 2019.
Rutgers University, Department of Computer Science, Principles of Programming Languages (198:314:F17), Sept. 2017 - Dec. 2017.
Beijing New Oriental School, English Learning Department, Managed a residential boarding class. Aug. 2015.
"Multi-Scale Modeling of Online Social Networks". DIMACS-Microsoft Research Mixer Event, Microsoft Research NYC, New York, USA. Sept. 2019.
"Artificial Intelligence and Deep Learning". School of Computer Science, Communication University of China, Beijing, China. Jun. 2017.
Honors and Awards:
Outstanding Graduate of Beijing, Top 3%, 2017.
Outstanding Graduate of Communication University of China, Top 10%, 2017.
Excellent Graduation Thesis Award, Top 10%, 2017.
Innovation Scholarship, Top 0.5%, 2016.
National Endeavor Scholarship, Top 1%, 2014, 2016.
National Scholarship, Top 0.2%, 2015.
The National Innovation Contest for Developing SDN Application, Second Award, 2015.
The Fifth Shiyou Cup Chinese College News and Television Award, First Award, 2015.
Life & Hobbies:
Hiking, Travel, Beach, Shooting on Film Cameras. Occasionally I also do some painting and calligraphy - not a specialist though ;P
FYI. I have a cute cat!
Last Update: 2021/04/24