Xiaoxiao Guo

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 84

Top Topics

Monte Carlo Tree Search

Reinforcement Learning

Natural Language

Interactive Retrieval

Top Venues

Publications

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) (2024)
Xiaoxiao Guo, Jianwei Xia, Ju H. Park, Guoliang Chen, Xiangpeng Xie
Prediction-Based Control of Large-Scale Networked Control Systems. IEEE Trans. Syst. Man Cybern. Syst. 54 (8) (2024)
Xiaoxiao Guo, Jianwei Xia, Hao Shen, Chengyuan Yan, Xiao Wang, Tianjiao Liu
Synchronization of time-delayed complex networks with delay-partitioning: A Chua's circuit networks application. J. Frankl. Inst. 360 (18) (2023)
Shaoze Fan, Shun Zhang, Jianbo Liu, Ningyuan Cao, Xiaoxiao Guo, Jing Li, Xin Zhang
Power Converter Circuit Design Automation Using Parallel Monte Carlo Tree Search. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
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)
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 (2022)
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 (2021)
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. Trans. Assoc. Comput. Linguistics 9 (2021)
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 (2021)
Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. CVPR (2021)
Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum
Augmenting Policy Learning with Routines Discovered from a Single Demonstration. AAAI (2021)
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)
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 Conference on AI (2021)
Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR (2020)
Yaqiang Cao, Zhaoxiong Chen, Xingwei Chen, Daosheng Ai, Guoyu Chen, Joseph McDermott, Yi Huang, Xiaoxiao Guo, Jing-Dong J. Han
Accurate loop calling for 3D genomic data with cLoops. Bioinform. 36 (3) (2020)
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 (2020)
Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum
Augmenting Policy Learning with Routines Discovered from a Demonstration. CoRR (2020)
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 (2020)
Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
Frustratingly Hard Evidence Retrieval for QA Over Books. CoRR (2020)
Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
Frustratingly Hard Evidence Retrieval for QA Over Books. NUSE@ACL (2020)
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)
Chunyong Ma, Xiaoxiao Guo, Haoxin Zhang, Jiankai Di, Ge Chen
An Investigation of the Influences of SWOT Sampling and Errors on Ocean Eddy Observation. Remote. Sens. 12 (17) (2020)
Xiaoxiao Guo, Jian Lan
Line-of-Sight Rate Estimation for Barrel-Roll Maneuvering Target Tracking. FUSION (2020)
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)
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)
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
Hybrid Reinforcement Learning with Expert State Sequences. CoRR (2019)
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP (2019)
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) (2019)
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 (2019)
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR (2019)
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
Meta Reasoning over Knowledge Graphs. CoRR (2019)
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)
Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
Attend to count: Crowd counting with adaptive capacity multi-scale CNNs. Neurocomputing 367 (2019)
Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou
Few-shot Learning with Meta Metric Learners. CoRR (2019)
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 (2019)
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
Self-Supervised Learning for Contextualized Extractive Summarization. CoRR (2019)
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
Do Multi-hop Readers Dream of Reasoning Chains? CoRR (2019)
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
Hybrid Reinforcement Learning with Expert State Sequences. AAAI (2019)
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 (2019)
Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos
NE-Table: A Neural key-value table for Named Entities. RANLP (2019)
Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu
Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) (2019)
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) (2019)
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 (2019)
Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs. CoRR (2019)
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 (2019)
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 (2019)
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 (2019)
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)
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)
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 (2019)
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 (2019)
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) (2019)
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR (2019)
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)
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris
Dialog-based Interactive Image Retrieval. CoRR (2018)
Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
Joint Modeling of Text and Networks for Cascade Prediction. ICWSM (2018)
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
One-Shot Relational Learning for Knowledge Graphs. EMNLP (2018)
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang
: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI (2018)
Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR (2018)
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
Eigenoption Discovery through the Deep Successor Representation. ICLR (Poster) (2018)
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
One-Shot Relational Learning for Knowledge Graphs. CoRR (2018)
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) (2018)
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)
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) (2018)
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 (2018)
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris
Dialog-based Interactive Image Retrieval. NeurIPS (2018)
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 (2018)
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. NAACL-HLT (2018)
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)
Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
DeepCas: An End-to-end Predictor of Information Cascades. WWW (2017)
Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
Deep Memory Networks for Attitude Identification. CoRR (2017)
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
Dilated Recurrent Neural Networks. NIPS (2017)
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 (2017)
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
Eigenoption Discovery through the Deep Successor Representation. CoRR (2017)
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang
: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR (2017)
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 (2017)
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)
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
Dilated Recurrent Neural Networks. CoRR (2017)
Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
Deep Memory Networks for Attitude Identification. WSDM (2017)
Xiaoxiao Guo, Satinder P. Singh, Richard L. Lewis, Honglak Lee
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. CoRR (2016)
Xiaoxiao Guo, Wei Li, Francesco Iorio
Convolutional Neural Networks for Steady Flow Approximation. KDD (2016)
Xiaoxiao Guo, Satinder P. Singh, Richard L. Lewis, Honglak Lee
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. IJCAI (2016)
Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
DeepGraph: Graph Structure Predicts Network Growth. CoRR (2016)
Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
DeepCas: an End-to-end Predictor of Information Cascades. CoRR (2016)
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder P. Singh
Action-Conditional Video Prediction using Deep Networks in Atari Games. NIPS (2015)
Ding Nan, Wei Xu, Xiaoxiao Guo, Xin Wen, Hongjiao Fu
Leverage Business Analytics and OWA to Recommend Appropriate Projects in Crowdfunding Platform. ISD (2015)
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder P. Singh
Action-Conditional Video Prediction using Deep Networks in Atari Games. CoRR (2015)
Xiaoxiao Guo, Satinder P. 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)
Xiaoxiao Guo, Chang Liu, Wei Xu, Hui Yuan, Mingming Wang
A Prediction-Based Inventory Optimization Using Data Mining Models. CSO (2014)
Xiaoxiao Guo, Satinder P. Singh, Richard L. Lewis
Reward Mapping for Transfer in Long-Lived Agents. NIPS (2013)