Jingzhou Liu

37 papers A* 11Misc 1Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Solving to Verifying: A Unified Objective for Robust Reasoning in LLMs.
CoRR
Xiaoxuan Wang, Bo Liu, Song Jiang, Jingzhou Liu, Jingyuan Qi, Xia Chen, Baosheng He
2025 J jnl
Nonlinear Dynamics In Optimization Landscape of Shallow Neural Networks with Tunable Leaky ReLU.
CoRR
Jingzhou Liu
2024 A* conf
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors.
ICRA
Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg
2024 J jnl
ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity.
CoRR
Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Chung-Ho Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg
2024 J jnl
On the Equivalence of Graph Convolution and Mixup.
Trans. Mach. Learn. Res.
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
2024 A* conf
Orbit-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity.
ICRA
Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Chung-Ho Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg
2024 J jnl
Synthetica: Large Scale Synthetic Data for Robot Perception.
CoRR
Ritvik Singh, Jingzhou Liu, Karl Van Wyk, Yu-Wei Chao, Jean-Francois Lafleche, Florian Shkurti, Nathan D. Ratliff, Ankur Handa
2024 A* conf
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms.
NeurIPS
Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang
2024 J jnl
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms.
CoRR
Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang
2024 A* conf
User Welfare Optimization in Recommender Systems with Competing Content Creators.
KDD
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang
2023 A* conf
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
EMNLP
Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
2023 A* conf
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality.
ICRA
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang
2023 J jnl
Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation.
CoRR
Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Jingzhou Liu, Ritvik Singh, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg
2023 Misc conf
Geometry Matching for Multi-Embodiment Grasping.
CoRL
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
2023 J jnl
Geometry Matching for Multi-Embodiment Grasping.
CoRR
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
2023 J jnl
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors.
CoRR
Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg
2023 J jnl
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments.
CoRR
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
2023 J jnl
On the Equivalence of Graph Convolution and Mixup.
CoRR
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
2023 J jnl
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments.
IEEE Robotics Autom. Lett.
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
2022 J jnl
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
CoRR
Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
2022 J jnl
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality.
CoRR
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
2021 — conf
Enhancing Summarization with Text Classification via Topic Consistency.
ECML/PKDD (3)
Jingzhou Liu, Yiming Yang
2021 J jnl
RCKF Cooperative Navigation Algorithm for Tightly Coupled Vehicle Ad Hoc Networks Based on Huber M Estimation.
IEEE Access
Wei Sun, Jingzhou Liu
2021 A* conf
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs.
SIGIR
Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang
2020 J jnl
A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping.
CoRR
Ethan L. Childerhose, Jingzhou Liu
2020 A* conf
Distilling Knowledge Learned in BERT for Text Generation.
ACL
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu
2020 J jnl
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference.
CoRR
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2020 A* conf
Violin: A Large-Scale Dataset for Video-and-Language Inference.
CVPR
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2019 J jnl
Distilling the Knowledge of BERT for Text Generation.
CoRR
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu
2018 — conf
Stack-Pointer Networks for Dependency Parsing.
ACL (1)
Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy
2018 J jnl
Stack-Pointer Networks for Dependency Parsing.
CoRR
Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy
2017 A* conf
Deep Learning for Extreme Multi-label Text Classification.
SIGIR
Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang
2017 J jnl
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML.
CoRR
Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy
2016 J jnl
Visualization Large-scale and High-dimensional Data.
CoRR
Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei
2016 A* conf
Visualizing Large-scale and High-dimensional Data.
WWW
Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei
2014 — conf
AspectBreeze: integrating trustworthiness aspects into graph grammar supported architecture description language.
Internetware
Jingzhou Liu, Yuting Chen, Chen Li, Jianjun Zhao
2012 J jnl
The Impact of Imitation on Vaccination Behavior in Social Contact Networks.
PLoS Comput. Biol.
Martial L. Ndeffo Mbah, Jingzhou Liu, Chris T. Bauch, Yonas I. Tekel, Jan Medlock, Lauren Ancel Meyers, Alison P. Galvani