Jingzhou Liu

According to our database, Jingzhou Liu authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms.

Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang

CoRR, 2024

Synthetica: Large Scale Synthetic Data for Robot Perception.

Ritvik Singh, Jingzhou Liu, Karl Van Wyk, Yu-Wei Chao, Jean-Francois Lafleche, Florian Shkurti, Nathan D. Ratliff, Ankur Handa

CoRR, 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.

Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors.

Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Orbit-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity.

Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Chung-Ho Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments.

Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg

IEEE Robotics Autom. Lett., June, 2023

On the Equivalence of Graph Convolution and Mixup.

Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

CoRR, 2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation.

Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Jingzhou Liu, Ritvik Singh, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg

CoRR, 2023

ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments.

Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Pooria Poorsarvi Tehrani, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg

CoRR, 2023

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality.

Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj S. Narang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.

Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Geometry Matching for Multi-Embodiment Grasping.

Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson

Proceedings of the Conference on Robot Learning, 2023

2022

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality.

Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj S. Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State

CoRR, 2022

2021

RCKF Cooperative Navigation Algorithm for Tightly Coupled Vehicle Ad Hoc Networks Based on Huber M Estimation.

Wei Sun, Jingzhou Liu

IEEE Access, 2021

Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs.

Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Enhancing Summarization with Text Classification via Topic Consistency.

Jingzhou Liu, Yiming Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping.

Ethan L. Childerhose, Jingzhou Liu

CoRR, 2020

Violin: A Large-Scale Dataset for Video-and-Language Inference.

Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Distilling Knowledge Learned in BERT for Text Generation.

Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Distilling the Knowledge of BERT for Text Generation.

Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu

CoRR, 2019

2018

Stack-Pointer Networks for Dependency Parsing.

Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML.

Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy

CoRR, 2017

Deep Learning for Extreme Multi-label Text Classification.

Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Visualization Large-scale and High-dimensional Data.

Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei

CoRR, 2016

Visualizing Large-scale and High-dimensional Data.

Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei

Proceedings of the 25th International Conference on World Wide Web, 2016

2014

AspectBreeze: integrating trustworthiness aspects into graph grammar supported architecture description language.

Jingzhou Liu, Yuting Chen, Chen Li, Jianjun Zhao

Proceedings of the 6th Asia-Pacific Symposium on Internetware, 2014

2012

The Impact of Imitation on Vaccination Behavior in Social Contact Networks.

Martial L. Ndeffo Mbah, Jingzhou Liu, Chris T. Bauch, Yonas I. Tekel, Jan Medlock, Lauren Ancel Meyers, Alison P. Galvani

PLoS Comput. Biol., 2012