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ORCIDJingzhou Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c14]Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg:
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. ICRA 2024: 13983-13990- [c13]Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Chung-Ho Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg:
Orbit-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity. ICRA 2024: 15509-15516 - [c12]Fan Yao
, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang:
User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD 2024: 3874-3885 - [i14]Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Chung-Ho Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg:
ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity. CoRR abs/2404.16027 (2024) - 2023
- [j3]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:
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. IEEE Robotics Autom. Lett. 8(6): 3740-3747 (2023) - [c11]Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. CoRL 2023: 1242-1256 - [c10]Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie:
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP 2023: 13258-13275 - [c9]Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj S. Narang:
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. ICRA 2023: 5977-5984 - [i13]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:
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. CoRR abs/2301.04195 (2023) - [i12]Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Jingzhou Liu, Ritvik Singh, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg:
Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation. CoRR abs/2306.08132 (2023) - [i11]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:
On the Equivalence of Graph Convolution and Mixup. CoRR abs/2310.00183 (2023) - [i10]Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg:
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. CoRR abs/2311.16552 (2023) - [i9]Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. CoRR abs/2312.03864 (2023) - 2022
- [i8]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:
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. CoRR abs/2210.13702 (2022) - [i7]Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang:
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR abs/2210.15500 (2022) - 2021
- [j2]Wei Sun, Jingzhou Liu:
RCKF Cooperative Navigation Algorithm for Tightly Coupled Vehicle Ad Hoc Networks Based on Huber M Estimation. IEEE Access 9: 139888-139895 (2021) - [c8]Jingzhou Liu, Yiming Yang:
Enhancing Summarization with Text Classification via Topic Consistency. ECML/PKDD (3) 2021: 661-676 - [c7]Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang:
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. SIGIR 2021: 2313-2317 - 2020
- [c6]Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu:
Distilling Knowledge Learned in BERT for Text Generation. ACL 2020: 7893-7905 - [c5]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR 2020: 10897-10907 - [i6]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR abs/2003.11618 (2020) - [i5]Ethan L. Childerhose, Jingzhou Liu:
A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping. CoRR abs/2008.09307 (2020)
2010 – 2019
- 2019
- [i4]Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu:
Distilling the Knowledge of BERT for Text Generation. CoRR abs/1911.03829 (2019) - 2018
- [c4]Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy:
Stack-Pointer Networks for Dependency Parsing. ACL (1) 2018: 1403-1414 - [i3]Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy:
Stack-Pointer Networks for Dependency Parsing. CoRR abs/1805.01087 (2018) - 2017
- [c3]Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang:
Deep Learning for Extreme Multi-label Text Classification. SIGIR 2017: 115-124 - [i2]Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy:
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML. CoRR abs/1705.07136 (2017) - 2016
- [c2]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualizing Large-scale and High-dimensional Data. WWW 2016: 287-297 - [i1]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualization Large-scale and High-dimensional Data. CoRR abs/1602.00370 (2016) - 2014
- [c1]Jingzhou Liu, Yuting Chen, Chen Li, Jianjun Zhao:
AspectBreeze: integrating trustworthiness aspects into graph grammar supported architecture description language. Internetware 2014: 80-88 - 2012
- [j1]Martial L. Ndeffo Mbah, Jingzhou Liu, Chris T. Bauch, Yonas I. Tekel, Jan Medlock, Lauren Ancel Meyers, Alison P. Galvani:
The Impact of Imitation on Vaccination Behavior in Social Contact Networks. PLoS Comput. Biol. 8(4) (2012)
Coauthor Index
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