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Xiaoxiao Guo
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Books and Theses
- 2017
- [b1]Xiaoxiao Guo:
Deep Learning and Reward Design for Reinforcement Learning. University of Michigan, USA, 2017
Journal Articles
- 2024
- [j12]Xiaoxiao Guo, Jianwei Xia, Hao Shen, Tianjiao Liu, Chengyuan Yan
:
Predictive Control for Takagi-Sugeno Fuzzy Large-Scale Networked Control Systems. Int. J. Fuzzy Syst. 26(4): 1107-1119 (2024) - [j11]Xiaoxiao Guo, Jianwei Xia
Prediction-Based Control of Large-Scale Networked Control Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 4736-4748 (2024) - 2023
- [j10]Xiaoxiao Guo, Jianwei Xia
Synchronization of time-delayed complex networks with delay-partitioning: A Chua's circuit networks application. J. Frankl. Inst. 360(18): 14208-14221 (2023) - [j9]Shaoze Fan
Power Converter Circuit Design Automation Using Parallel Monte Carlo Tree Search. ACM Trans. Design Autom. Electr. Syst. 28(2): 17:1-17:33 (2023) - 2021
- [j8]Xiangyang Mou
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. Trans. Assoc. Comput. Linguistics 9: 1032-1046 (2021) - [j7]Xiaoxiao Guo
Application of Nonarbitrage Pricing Model and Finite Element Numerical Solution in the Value of Convertible Bonds in the Stock Market. Wirel. Commun. Mob. Comput. 2021: 5510715:1-5510715:9 (2021) - 2020
- [j6]Yaqiang Cao
Accurate loop calling for 3D genomic data with cLoops. Bioinform. 36(3): 666-675 (2020) - [j5]Chunyong Ma, Xiaoxiao Guo
An Investigation of the Influences of SWOT Sampling and Errors on Ocean Eddy Observation. Remote. Sens. 12(17): 2682 (2020) - 2019
- [j4]Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning. Neurocomputing 349: 202-211 (2019) - [j3]Zhikang Zou
Attend to count: Crowd counting with adaptive capacity multi-scale CNNs. Neurocomputing 367: 75-83 (2019) - 2018
- [j2]Xiaoxiao Guo, Yuansheng Liu, Qixue Zhong, Mengna Chai:
Research on Moving Target Tracking Algorithm Based on Lidar and Visual Fusion. J. Adv. Comput. Intell. Intell. Informatics 22(5): 593-601 (2018) - [j1]Qixue Zhong, Yuansheng Liu, Xiaoxiao Guo, Lijun Ren:
Dynamic Obstacle Detection and Tracking Based on 3D Lidar. J. Adv. Comput. Intell. Intell. Informatics 22(5): 602-610 (2018)
Conference and Workshop Papers
- 2023
- [c40]Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan:
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) 2023: 11226-11238 - 2021
- [c39]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Single Demonstration. AAAI 2021: 11024-11032 - [c38]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian AI 2021 - [c37]Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. CVPR 2021: 11307-11317 - [c36]Shaoze Fan, Ningyuan Cao, Shun Zhang, Jing Li, Xiaoxiao Guo, Xin Zhang:
From Specification to Topology: Automatic Power Converter Design via Reinforcement Learning. ICCAD 2021: 1-9 - 2020
- [c35]Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar
Frustratingly Hard Evidence Retrieval for QA Over Books. NUSE@ACL 2020: 108-113 - [c34]Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang:
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. EMNLP (1) 2020: 7755-7765 - [c33]Xiaoxiao Guo, Jian Lan:
Line-of-Sight Rate Estimation for Barrel-Roll Maneuvering Target Tracking. FUSION 2020: 1-8 - 2019
- [c32]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. AAAI 2019: 3739-3746 - [c31]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL (1) 2019: 1371-1377 - [c30]Hong Wang, Xin Wang
Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) 2019: 2221-2227 - [c29]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) 2019: 4258-4264 - [c28]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) 2019: 5020-5031 - [c27]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP 2019: 48-52 - [c26]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP 2019: 91-97 - [c25]Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP 2019: 113-118 - [c24]Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar
Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) 2019: 6455-6460 - [c23]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) 2019: 773-784 - [c22]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) 2019: 796-806 - [c21]Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez:
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. NeurIPS 2019: 2647-2657 - [c20]Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos:
NE-Table: A Neural key-value table for Named Entities. RANLP 2019: 980-993 - 2018
- [c19]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI 2018: 5981-5988 - [c18]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. EMNLP 2018: 1980-1990 - [c17]Marlos C. Machado
Eigenoption Discovery through the Deep Successor Representation. ICLR (Poster) 2018 - [c16]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) 2018 - [c15]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Joint Modeling of Text and Networks for Cascade Prediction. ICWSM 2018: 640-643 - [c14]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI 2018: 4503-4509 - [c13]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar
Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT 2018: 1206-1215 - [c12]Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris:
Dialog-based Interactive Image Retrieval. NeurIPS 2018: 676-686 - 2017
- [c11]Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh:
Learning to Query, Reason, and Answer Questions On Ambiguous Texts. ICLR (Poster) 2017 - [c10]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87 - [c9]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Deep Memory Networks for Attitude Identification. WSDM 2017: 671-680 - [c8]Cheng Li, Jiaqi Ma
DeepCas: An End-to-end Predictor of Information Cascades. WWW 2017: 577-586 - 2016
- [c7]Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee:
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. IJCAI 2016: 1519-1525 - [c6]Xiaoxiao Guo, Wei Li, Francesco Iorio:
Convolutional Neural Networks for Steady Flow Approximation. KDD 2016: 481-490 - 2015
- [c5]Ding Nan, Wei Xu, Xiaoxiao Guo, Xin Wen, Hongjiao Fu:
Leverage Business Analytics and OWA to Recommend Appropriate Projects in Crowdfunding Platform. ISD 2015 - [c4]Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh:
Action-Conditional Video Prediction using Deep Networks in Atari Games. NIPS 2015: 2863-2871 - 2014
- [c3]Xiaoxiao Guo, Chang Liu, Wei Xu, Hui Yuan
A Prediction-Based Inventory Optimization Using Data Mining Models. CSO 2014: 611-615 - [c2]Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang:
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning. NIPS 2014: 3338-3346 - 2013
- [c1]Xiaoxiao Guo, Satinder Singh, Richard L. Lewis:
Reward Mapping for Transfer in Long-Lived Agents. NIPS 2013: 2130-2138
Informal and Other Publications
- 2022
- [i38]Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan:
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. CoRR abs/2210.15456 (2022) - 2021
- [i37]Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. CoRR abs/2106.03826 (2021) - 2020
- [i36]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR abs/2004.02393 (2020) - [i35]Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Frustratingly Hard Evidence Retrieval for QA Over Books. CoRR abs/2007.09878 (2020) - [i34]Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang:
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. CoRR abs/2010.02386 (2020) - [i33]Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell:
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR abs/2010.09788 (2020) - [i32]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Demonstration. CoRR abs/2012.12469 (2020) - 2019
- [i31]Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou:
Few-shot Learning with Meta Metric Learners. CoRR abs/1901.09890 (2019) - [i30]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. CoRR abs/1902.01030 (2019) - [i29]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR abs/1903.02588 (2019) - [i28]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. CoRR abs/1903.02591 (2019) - [i27]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. CoRR abs/1903.04110 (2019) - [i26]Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang:
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning. CoRR abs/1904.03014 (2019) - [i25]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR abs/1905.07098 (2019) - [i24]Xiaoxiao Guo, Hui Wu, Yupeng Gao, Steven Rennie, Rogério Schmidt Feris:
The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback. CoRR abs/1905.12794 (2019) - [i23]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. CoRR abs/1906.04466 (2019) - [i22]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. CoRR abs/1907.06292 (2019) - [i21]Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou:
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs. CoRR abs/1908.02797 (2019) - [i20]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. CoRR abs/1908.04877 (2019) - [i19]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR abs/1909.07597 (2019) - [i18]Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR abs/1909.07598 (2019) - [i17]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? CoRR abs/1910.14520 (2019) - [i16]Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez:
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. CoRR abs/1911.03826 (2019) - 2018
- [i15]Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh:
Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities. CoRR abs/1804.09540 (2018) - [i14]Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris:
Dialog-based Interactive Image Retrieval. CoRR abs/1805.00145 (2018) - [i13]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. CoRR abs/1805.07513 (2018) - [i12]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR abs/1806.06187 (2018) - [i11]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. CoRR abs/1808.09040 (2018) - 2017
- [i10]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Deep Memory Networks for Attitude Identification. CoRR abs/1701.04189 (2017) - [i9]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Robust Task Clustering for Deep Many-Task Learning. CoRR abs/1708.07918 (2017) - [i8]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR abs/1709.00023 (2017) - [i7]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - [i6]Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell:
Eigenoption Discovery through the Deep Successor Representation. CoRR abs/1710.11089 (2017) - [i5]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR abs/1711.05116 (2017) - 2016
- [i4]Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee:
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. CoRR abs/1604.07095 (2016) - [i3]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
DeepGraph: Graph Structure Predicts Network Growth. CoRR abs/1610.06251 (2016) - [i2]Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei:
DeepCas: an End-to-end Predictor of Information Cascades. CoRR abs/1611.05373 (2016) - 2015
- [i1]Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh:
Action-Conditional Video Prediction using Deep Networks in Atari Games. CoRR abs/1507.08750 (2015)
Coauthor Index
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