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)

AspectBreeze: integrating trustworthiness aspects into graph grammar supported architecture description language. - Jingzhou Liu; Yuting Chen 001; Chen Li 009; Jianjun Zhao 001 (Internetware, 2014)

Visualizing Large-scale and High-dimensional Data. - Jian Tang 005; Jingzhou Liu; Ming Zhang 004; Qiaozhu Mei (WWW, 2016)

Visualization Large-scale and High-dimensional Data. - Jian Tang 005; Jingzhou Liu; Ming Zhang 004; Qiaozhu Mei (CoRR, 2016)

Deep Learning for Extreme Multi-label Text Classification. - Jingzhou Liu; Wei-Cheng Chang; Yuexin Wu; Yiming Yang (SIGIR, 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)

Stack-Pointer Networks for Dependency Parsing. - Xuezhe Ma; Zecong Hu; Jingzhou Liu; Nanyun Peng 001; Graham Neubig; Eduard H. Hovy (ACL (1), 2018)

Distilling the Knowledge of BERT for Text Generation. - Yen-Chun Chen 001; Zhe Gan; Yu Cheng 001; Jingzhou Liu; Jingjing Liu 001 (CoRR, 2019)

Distilling Knowledge Learned in BERT for Text Generation. - Yen-Chun Chen 001; Zhe Gan; Yu Cheng 001; Jingzhou Liu; Jingjing Liu 001 (ACL, 2020)

Violin: A Large-Scale Dataset for Video-and-Language Inference. - Jingzhou Liu; Wenhu Chen; Yu Cheng 001; Zhe Gan; Licheng Yu; Yiming Yang; Jingjing Liu 001 (CVPR, 2020)

A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping. - Ethan L. Childerhose; Jingzhou Liu (CoRR, 2020)

Enhancing Summarization with Text Classification via Topic Consistency. - Jingzhou Liu; Yiming Yang (ECML/PKDD (3), 2021)

Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. - Jingzhou Liu; Dominic J. D. Hughes; Yiming Yang (SIGIR, 2021)

RCKF Cooperative Navigation Algorithm for Tightly Coupled Vehicle Ad Hoc Networks Based on Huber M Estimation. - Wei Sun 037; Jingzhou Liu (IEEE Access, 2021)

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; et al. (CoRR, 2022)

Geometry Matching for Multi-Embodiment Grasping. - Maria Attarian; Muhammad Adil Asif; Jingzhou Liu; Ruthrash Hari; Animesh Garg; Igor Gilitschenski; Jonathan Tompson (CoRL, 2023)

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. - Nan Wang; Qifan Wang 001; Yi-Chia Wang; Maziar Sanjabi; Jingzhou Liu; Hamed Firooz; Hongning Wang; Shaoliang Nie (EMNLP, 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 (ICRA, 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; et al. (CoRR, 2023)

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation. - Dylan Turpin; Tao Zhong 003; 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; Ritvik Singh; Yunrong Guo; Hammad Mazhar; Ajay Mandlekar; Buck Babich; et al. (IEEE Robotics Autom. Lett., 2023)

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 (ICRA, 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 (ICRA, 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 001; Haifeng Xu; Hongning Wang (KDD, 2024)

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. - Fan Yao; Yiming Liao; Jingzhou Liu; Shaoliang Nie; Qifan Wang 001; Haifeng Xu; Hongning Wang (NeurIPS, 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)

On the Equivalence of Graph Convolution and Mixup. - Xiaotian Han; Hanqing Zeng; Yu Chen 022; Shaoliang Nie; Jingzhou Liu; Kanika Narang; Zahra Shakeri; Karthik Abinav Sankararaman; Song Jiang 002; Madian Khabsa; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2024)