Xiaoxiao Guo - RankMe

96 papers A* 11A 3C 1Misc 1Journal 55Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composite disturbance rejection based integral sliding mode control for large-scale interconnected power systems. Commun. Nonlinear Sci. Numer. Simul. Xiaoxiao Guo, Rongni Yang
2026	J	`jnl`	GPR-GSLAM: Gaussian Process Regression-Enhanced Real-Time RGB-D SLAM Using Gaussian Splatting. IEEE Robotics Autom. Lett. Xinlong Qi, Yan Zhang, Hongyong Fu, Lu Zhang, Xiaoxiao Guo, Xinyuan Jiang
2025	J	`jnl`	Enhancing energy efficiency in urban rail transit systems through multiscale multiagent cooperative evolution simulation. Simul. Deng Pan, Xiaoxiao Guo, Haiping Jiang
2025	J	`jnl`	Evolution of Control Capability in Virtually Coupled Train Convoys Using State Transition-Based Chain MPC as a Benchmark. IEEE Internet Things J. Deng Pan, Jiahao Lu, Zehao Xu, Xiaoxiao Guo
2025	J	`jnl`	Hybrid Point-Group Target Tracking Using Angle-Only Measurements With Decoy Flares. IEEE Trans. Aerosp. Electron. Syst. Xiaoxiao Guo, Jian Lan, Ruiqing Xi
2024	J	`jnl`	Prediction-Based Control of Large-Scale Networked Control Systems. IEEE Trans. Syst. Man Cybern. Syst. Xiaoxiao Guo, Jianwei Xia, Ju H. Park, Guoliang Chen, Xiangpeng Xie
2024	J	`jnl`	Predictive Control for Takagi-Sugeno Fuzzy Large-Scale Networked Control Systems. Int. J. Fuzzy Syst. Xiaoxiao Guo, Jianwei Xia, Hao Shen, Tianjiao Liu, Chengyuan Yan
2023	—	`conf`	JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
2023	J	`jnl`	Power Converter Circuit Design Automation Using Parallel Monte Carlo Tree Search. ACM Trans. Design Autom. Electr. Syst. Shaoze Fan, Shun Zhang, Jianbo Liu, Ningyuan Cao, Xiaoxiao Guo, Jing Li, Xin Zhang
2023	J	`jnl`	Synchronization of time-delayed complex networks with delay-partitioning: A Chua's circuit networks application. J. Frankl. Inst. Xiaoxiao Guo, Jianwei Xia, Hao Shen, Chengyuan Yan, Xiao Wang, Tianjiao Liu
2022	J	`jnl`	JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. CoRR Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
2021	J	`jnl`	Application of Nonarbitrage Pricing Model and Finite Element Numerical Solution in the Value of Convertible Bonds in the Stock Market. Wirel. Commun. Mob. Comput. Xiaoxiao Guo
2021	A*	`conf`	Augmenting Policy Learning with Routines Discovered from a Single Demonstration. AAAI Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum
2021	A*	`conf`	Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. CVPR Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris
2021	A	`conf`	From Specification to Topology: Automatic Power Converter Design via Reinforcement Learning. ICCAD Shaoze Fan, Ningyuan Cao, Shun Zhang, Jing Li, Xiaoxiao Guo, Xin Zhang
2021	J	`jnl`	Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. CoRR Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su
2021	J	`jnl`	Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. Trans. Assoc. Comput. Linguistics Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su
2021	—	`conf`	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 Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020	J	`jnl`	Accurate loop calling for 3D genomic data with cLoops. Bioinform. Yaqiang Cao, Zhaoxiong Chen, Xingwei Chen, Daosheng Ai, Guoyu Chen, Joseph McDermott, Yi Huang, Xiaoxiao Guo, Jing-Dong J. Han
2020	J	`jnl`	An Investigation of the Influences of SWOT Sampling and Errors on Ocean Eddy Observation. Remote. Sens. Chunyong Ma, Xiaoxiao Guo, Haoxin Zhang, Jiankai Di, Ge Chen
2020	J	`jnl`	Augmenting Policy Learning with Routines Discovered from a Demonstration. CoRR Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum
2020	J	`jnl`	Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell
2020	—	`conf`	Frustratingly Hard Evidence Retrieval for QA Over Books. NUSE@ACL Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
2020	J	`jnl`	Frustratingly Hard Evidence Retrieval for QA Over Books. CoRR Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
2020	—	`conf`	Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. EMNLP (1) Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
2020	J	`jnl`	Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. CoRR Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
2020	J	`jnl`	Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020	C	`conf`	Line-of-Sight Rate Estimation for Barrel-Roll Maneuvering Target Tracking. FUSION Xiaoxiao Guo, Jian Lan
2019	J	`jnl`	A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning. CoRR Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
2019	J	`jnl`	A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning. Neurocomputing Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
2019	J	`jnl`	Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs. CoRR Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
2019	J	`jnl`	Attend to count: Crowd counting with adaptive capacity multi-scale CNNs. Neurocomputing Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
2019	—	`conf`	Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu
2019	—	`conf`	Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
2019	J	`jnl`	Do Multi-hop Readers Dream of Reasoning Chains? CoRR Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
2019	A*	`conf`	Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. NeurIPS Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez
2019	J	`jnl`	Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. CoRR Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez
2019	—	`conf`	Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL (1) Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
2019	J	`jnl`	Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. CoRR Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
2019	J	`jnl`	Few-shot Learning with Meta Metric Learners. CoRR Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou
2019	A*	`conf`	Hybrid Reinforcement Learning with Expert State Sequences. AAAI Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019	J	`jnl`	Hybrid Reinforcement Learning with Expert State Sequences. CoRR Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019	—	`conf`	Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. CoRR Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	—	`conf`	Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	Meta Reasoning over Knowledge Graphs. CoRR Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	—	`conf`	Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum
2019	J	`jnl`	Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum
2019	Misc	`conf`	NE-Table: A Neural key-value table for Named Entities. RANLP Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos
2019	—	`conf`	Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	J	`jnl`	Self-Supervised Learning for Contextualized Extractive Summarization. CoRR Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	—	`conf`	Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	J	`jnl`	Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	—	`conf`	Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
2019	J	`jnl`	Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
2019	—	`conf`	TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	TWEETQA: A Social Media Focused Question Answering Dataset. CoRR Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback. CoRR Xiaoxiao Guo, Hui Wu, Yupeng Gao, Steven Rennie, Rogério Schmidt Feris
2018	A*	`conf`	Dialog-based Interactive Image Retrieval. NeurIPS Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris
2018	J	`jnl`	Dialog-based Interactive Image Retrieval. CoRR Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris
2018	—	`conf`	Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	J	`jnl`	Diverse Few-Shot Text Classification with Multiple Metrics. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	J	`jnl`	Dynamic Obstacle Detection and Tracking Based on 3D Lidar. J. Adv. Comput. Intell. Intell. Informatics Qixue Zhong, Yuansheng Liu, Xiaoxiao Guo, Lijun Ren
2018	—	`conf`	Eigenoption Discovery through the Deep Successor Representation. ICLR (Poster) Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
2018	—	`conf`	Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2018	A	`conf`	Joint Modeling of Text and Networks for Cascade Prediction. ICWSM Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2018	J	`jnl`	Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities. CoRR Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh
2018	A*	`conf`	One-Shot Relational Learning for Knowledge Graphs. EMNLP Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2018	J	`jnl`	One-Shot Relational Learning for Knowledge Graphs. CoRR Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2018	A*	`conf`	R AAAI Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang
2018	J	`jnl`	Research on Moving Target Tracking Algorithm Based on Lidar and Visual Fusion. J. Adv. Comput. Intell. Intell. Informatics Xiaoxiao Guo, Yuansheng Liu, Qixue Zhong, Mengna Chai
2018	A*	`conf`	Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
2018	J	`jnl`	Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
2017	—	`—`	Deep Learning and Reward Design for Reinforcement Learning. Xiaoxiao Guo
2017	A	`conf`	Deep Memory Networks for Attitude Identification. WSDM Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2017	J	`jnl`	Deep Memory Networks for Attitude Identification. CoRR Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2017	A*	`conf`	DeepCas: An End-to-end Predictor of Information Cascades. WWW Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
2017	—	`conf`	Dilated Recurrent Neural Networks. NIPS Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	J	`jnl`	Dilated Recurrent Neural Networks. CoRR Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
2017	J	`jnl`	Eigenoption Discovery through the Deep Successor Representation. CoRR Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
2017	J	`jnl`	Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2017	—	`conf`	Learning to Query, Reason, and Answer Questions On Ambiguous Texts. ICLR (Poster) Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh
2017	J	`jnl`	R CoRR Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang
2017	J	`jnl`	Robust Task Clustering for Deep Many-Task Learning. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2016	A*	`conf`	Convolutional Neural Networks for Steady Flow Approximation. KDD Xiaoxiao Guo, Wei Li, Francesco Iorio
2016	A*	`conf`	Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. IJCAI Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee
2016	J	`jnl`	Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. CoRR Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee
2016	J	`jnl`	DeepCas: an End-to-end Predictor of Information Cascades. CoRR Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
2016	J	`jnl`	DeepGraph: Graph Structure Predicts Network Growth. CoRR Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2015	—	`conf`	Action-Conditional Video Prediction using Deep Networks in Atari Games. NIPS Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh
2015	J	`jnl`	Action-Conditional Video Prediction using Deep Networks in Atari Games. CoRR Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh
2015	—	`conf`	Leverage Business Analytics and OWA to Recommend Appropriate Projects in Crowdfunding Platform. ISD Ding Nan, Wei Xu, Xiaoxiao Guo, Xin Wen, Hongjiao Fu
2014	—	`conf`	A Prediction-Based Inventory Optimization Using Data Mining Models. CSO Xiaoxiao Guo, Chang Liu, Wei Xu, Hui Yuan, Mingming Wang
2014	—	`conf`	Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning. NIPS Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang
2013	—	`conf`	Reward Mapping for Transfer in Long-Lived Agents. NIPS Xiaoxiao Guo, Satinder Singh, Richard L. Lewis