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Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles


Apr 26, 2022
Jiaxin Liu, Wenhui Zhou, Hong Wang, Zhong Cao, Wenhao Yu, Chengxiang Zhao, Ding Zhao, Diange Yang, Jun Li


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A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods


Apr 07, 2022
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang


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Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions


Mar 28, 2022
Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel

* 8 pages, 6 figures, 3 tables 

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Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts


Mar 14, 2022
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang

* ACL 2022 (Findings); Code is at https://github.com/DM2-ND/MoKGE 

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Safe Reinforcement Learning for Legged Locomotion


Mar 05, 2022
Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu

* Video is included in the submission and the project website: https://sites.google.com/view/saferlleggedlocomotion/ 

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Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery


Nov 29, 2021
Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li


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Robot Learning from Randomized Simulations: A Review


Nov 01, 2021
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters

* submitted to Frontiers in Robotics and AI 

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Dict-BERT: Enhancing Language Model Pre-training with Dictionary


Oct 13, 2021
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang

* Under Review 

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KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering


Oct 08, 2021
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng


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Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations


Jun 05, 2021
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang


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Counterfactual Graph Learning for Link Prediction


Jun 03, 2021
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang


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Sentence-Permuted Paragraph Generation


Apr 15, 2021
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang

* 19 pages, 6 figures 

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Learning to Manipulate Amorphous Materials


Mar 03, 2021
Yunbo Zhang, Wenhao Yu, C. Karen Liu, Charles C. Kemp, Greg Turk


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Few-Shot Graph Learning for Molecular Property Prediction


Feb 16, 2021
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla

* To appear in WWW 2021 (long paper); Code is available at https://github.com/zhichunguo/Meta-MGNN 

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Validating Label Consistency in NER Data Annotation


Jan 21, 2021
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang


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Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning


Jan 13, 2021
Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du


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Protective Policy Transfer


Dec 11, 2020
Wenhao Yu, C. Karen Liu, Greg Turk


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COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing


Nov 23, 2020
Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho


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Learning Human Search Behavior from Egocentric Visual Inputs


Nov 06, 2020
Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu

* (preprint) submitted to EUROGRAPHICS 2021 

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Policy Transfer via Kinematic Domain Randomization and Adaptation


Nov 03, 2020
Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu

* Submitted to the 2021 IEEE International Conference on Robotics and Automation (ICRA) 

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Early Anomaly Detection by Learning and Forecasting Behavior


Oct 20, 2020
Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang

* under review (10 pages) 

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Technical Question Answering across Tasks and Domains


Oct 19, 2020
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang

* 10 pages, 6 figures 

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A Survey of Knowledge-Enhanced Text Generation


Oct 09, 2020
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang

* 44 pages; Preprint; A paper and code collection is available at https://github.com/wyu97/KENLG-Reading 

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Injecting Entity Types into Entity-Guided Text Generation


Sep 28, 2020
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang

* Preprint; Under review as a conference paper; Code is available at: https://github.com/wyu97/InjType 

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Crossing Variational Autoencoders for Answer Retrieval


May 06, 2020
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang

* Accepted to ACL 2020 

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Learning Fast Adaptation with Meta Strategy Optimization


Sep 28, 2019
Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha


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Learning Novel Policies For Tasks


May 13, 2019
Yunbo Zhang, Wenhao Yu, Greg Turk

* 8 pages, Accepted ICML 2019 

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Sim-to-Real Transfer for Biped Locomotion


Mar 04, 2019
Wenhao Yu, Visak CV Kumar, Greg Turk, C. Karen Liu


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Policy Transfer with Strategy Optimization


Dec 04, 2018
Wenhao Yu, C. Karen Liu, Greg Turk


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