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Probabilistic Planning with Preferences over Temporal Goals


Mar 26, 2021
Jie Fu

* 6 pages, 8 figures, Accepted by American Control Conference (ACC) 2021 

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Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters


Feb 17, 2021
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu

* Published as a conference paper at the 9th International Conference on Learning Representations (ICLR 2021) 

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Attention-Based Planning with Active Perception


Nov 30, 2020
Haoxiang Ma, Jie Fu


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GLGE: A New General Language Generation Evaluation Benchmark


Nov 24, 2020
Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan

* 11 pages 

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Semantic SLAM with Autonomous Object-Level Data Association


Nov 20, 2020
Zhentian Qian, Kartik Patath, Jie Fu, Jing Xiao


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Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space


Oct 04, 2020
Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou

* Accepted at EMNLP 2020 

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A Theory of Hypergames on Graphs for Synthesizing Dynamic Cyber Defense with Deception


Aug 07, 2020
Abhishek N. Kulkarni, Jie Fu

* 32 pages, 10 figures, 2 tables, Accepted Book Chapter in "Game Theory and Machine Learning for Cyber Security" by Wiley-IEEE press, Editors: Charles A. Kamhoua, Christopher D. Kiekintveld, Fei Fang, Quanyan Zhu 

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CoCon: A Self-Supervised Approach for Controlled Text Generation


Jun 05, 2020
Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu


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RikiNet: Reading Wikipedia Pages for Natural Question Answering


Apr 30, 2020
Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan

* Accepted at ACL 2020 

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Role-Wise Data Augmentation for Knowledge Distillation


Apr 19, 2020
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong


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Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations


Apr 12, 2020
Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh

* 20 pages 

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Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation


Apr 08, 2020
Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan

* 11 pages, 3 figures 

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Jacobian Adversarially Regularized Networks for Robustness


Jan 29, 2020
Alvin Chan, Yi Tay, Yew Soon Ong, Jie Fu

* ICLR 2020 Camera Ready 

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Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot


Jan 13, 2020
Xuan Liu, Renato Gasoto, Cagdas Onal, Jie Fu

* 8 pages, 9 figures, submitted to ICRA 2020 

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Learning Sparse Mixture of Experts for Visual Question Answering


Sep 19, 2019
Vardaan Pahuja, Jie Fu, Christopher J. Pal

* Accepted in Visual Question Answering and Dialog Workshop, CVPR 2019 

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Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer


Sep 09, 2019
Jie Fu, Xinran Zhong, Ning Li, Ritchell Van Dams, John Lewis, Kyunghyun Sung, Ann C. Raldow, Jing Jin, X. Sharon Qi

* Review in progress 

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Interactive Machine Comprehension with Information Seeking Agents


Sep 04, 2019
Xingdi Yuan, Jie Fu, Marc-Alexandre Cote, Yi Tay, Christopher Pal, Adam Trischler


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Exploring Domain Shift in Extractive Text Summarization


Aug 30, 2019
Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang


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Interactive Language Learning by Question Answering


Aug 28, 2019
Xingdi Yuan, Marc-Alexandre Cote, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler

* EMNLP 2019 

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DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks


Jul 25, 2019
Lin Zehui, Pengfei Liu, Luyao Huang, Jie Fu, Junkun Chen, Xipeng Qiu, Xuanjing Huang


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Conditional Computation for Continual Learning


Jun 16, 2019
Min Lin, Jie Fu, Yoshua Bengio

* NeurIPS 2018 Continual Learning Workshop 

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Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks


Jun 11, 2019
Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui

* ACL 2019 

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Revision in Continuous Space: Fine-Grained Control of Text Style Transfer


Jun 02, 2019
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv

* Submitted to NeurIPS 2019 

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Structure Learning for Neural Module Networks


May 27, 2019
Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal


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Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives


May 26, 2019
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang

* Accepted to ACL 2019 

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TIGS: An Inference Algorithm for Text Infilling with Gradient Search


May 26, 2019
Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv

* The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) 

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A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes


Apr 05, 2019
Renato Gasoto, Miles Macklin, Xuan Liu, Yinan Sun, Kenny Erleben, Cagdas Onal, Jie Fu

* Paper accepted on ICRA 2019. Supplemental video https://youtu.be/wUAGTeKtKsc 

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Graph Neural Networks with Generated Parameters for Relation Extraction


Feb 02, 2019
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-seng Chua, Maosong Sun


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