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2020 – today
- 2022
[j81]Yuqing Xiong, Juan Zeng, Fei Xia
, Qiang Cui, Xianming Deng, Xin Xu:
Conformations and binding pockets of HRas and its guanine nucleotide exchange factors complexes in the guanosine triphosphate exchange process. J. Comput. Chem. 43(13): 906-916 (2022)- [c204]Xiusheng Huang, Bin Li, Fei Xia, Yixuan Weng:
A Novel Initial Reminder Framework for Acronym Extraction. SDU@AAAI 2022 - [c203]Bin Li, Fei Xia, Yixuan Weng, Bin Sun, Shutao Li, Xiusheng Huang:
PSG: Prompt-based Sequence Generation for Acronym Extraction. SDU@AAAI 2022 - [c202]Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun:
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation. SDU@AAAI 2022 - [c201]Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. SDU@AAAI 2022 - [c200]Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He:
ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion. SDU@AAAI 2022 - [c199]Yuanhe Tian, Yan Song, Fei Xia:
Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking. ACL (Findings) 2022: 1875-1886 - [c198]Zhulin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia:
Extracting and Inferring Personal Attributes from Dialogue. ConvAI@ACL 2022: 58-69 - [c197]Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia:
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation. DialDoc@ACL 2022: 130-135 - [c196]Bin Li, Yixuan Weng, Fei Xia, Bin Sun, Shutao Li:
VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification. BioNLP@ACL 2022: 212-219 - [c195]Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev:
Runtime Energy Minimization of Distributed Many-Core Systems using Transfer Learning. DATE 2022: 1209-1214 - [c194]Bin Li, Yixuan Weng, Fei Xia, Shizhu He, Bin Sun, Shutao Li:
LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary. SemEval@NAACL 2022: 29-35 - [c193]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li, Kang Liu, Jun Zhao:
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer. SemEval@NAACL 2022: 239-246 - [i36]Kai Ye, Siyan Dong, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen:
Multi-Robot Active Mapping via Neural Bipartite Graph Matching. CoRR abs/2203.16319 (2022) - [i35]Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRR abs/2204.01691 (2022) - [i34]Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng:
Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages. CoRR abs/2204.04344 (2022) - [i33]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao:
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs. CoRR abs/2204.09220 (2022) - [i32]Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei:
BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents. CoRR abs/2206.06489 (2022) - [i31]Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter:
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR abs/2207.05608 (2022) - [i30]Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas:
6D Camera Relocalization in Visually Ambiguous Extreme Environments. CoRR abs/2207.06333 (2022) - 2021
- [j80]Jiaming Mao, Mingming Zhang, Mu Chen, Lu Chen, Fei Xia, Lei Fan, Zixuan Wang, Wenbing Zhao:
Semisupervised Encrypted Traffic Identification Based on Auxiliary Classification Generative Adversarial Network. Comput. Syst. Sci. Eng. 39(3): 373-390 (2021) - [j79]Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking. IEEE Trans. Robotics 37(5): 1328-1342 (2021) - [c192]Jiechen Li, Xiangxiang Zeng, Yong Dou, Fei Xia, Shaoliang Peng:
LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations. BIBM 2021: 177-182 - [c191]Liangrui Pan, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, Shaoliang Peng:
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. BIBM 2021: 1032-1036 - [c190]Fei Xia, Yixuan Weng, Maojin Xia, Qiang Yu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Does BERT Know Which Answer Beyond the Question? CCKS (Evaluation Track) 2021: 69-81 - [c189]Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances. CCKS 2021: 198-210 - [c188]Fei Xia, Hu Song, Ming Tang, Lijun Wang, Jing Wan:
Research on Hidden Danger Risk Perception Technology Based on Big Data. CONF-CDS 2021: 149:1-149:5 - [c187]Fei Xia, Hu Song, Ling Wang, Lijun Wang, Jing Wan:
Distributed Data Center Failure Analysis Model Based on Deep Learning. CONF-CDS 2021: 150:1-150:4 - [c186]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRL 2021: 455-465 - [c185]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRL 2021: 477-490 - [c184]Fei Xia, Hu Song, Long-Chuan Yan, Yan Li, Li-Jun Wang:
A Survey on Failure Prediction in Large-scale Computing Systems. HPCC/DSS/SmartCity/DependSys 2021: 2028-2033 - [c183]Fei Xia, Jiaming Mao, Zhipeng Shao, Liangjie Xu, Ran Zhao, Yunzhi Yang:
An Authentication Mechanism for IoT Devices Based on Traceable and Revocable Identity-Based Encryption. ICAIS (2) 2021: 550-562 - [c182]Ibrahim Haddadi, Issa Qiqieh, Rishad A. Shafik, Fei Xia, Mohammed A. Noaman Al-Hayanni, Alex Yakovlev:
Run-time Configurable Approximate Multiplier using Significance-Driven Logic Compression. ICCD 2021: 117-124 - [c181]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA 2021: 4583-4590 - [c180]Wei Wen, Fei Xia, Lin Xia:
Real-time personnel counting of indoor area division based on improved YOLOV4-Tiny. IECON 2021: 1-6 - [c179]Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Kosuke Tahara, Masanori Ishigaki, Silvio Savarese:
Probabilistic Visual Navigation with Bidirectional Image Prediction. IROS 2021: 1539-1546 - [c178]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese:
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. IROS 2021: 7520-7527 - [c177]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD 2021: 2543-2553 - [e4]Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-52-7 [contents] - [e3]Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 2: Short Papers), Virtual Event, August 1-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-53-4 [contents] - [e2]Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli:
Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021. Findings of ACL ACL/IJCNLP 2021, Association for Computational Linguistics 2021, ISBN 978-1-954085-54-1 [contents] - [i29]Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev:
QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning. CoRR abs/2102.01348 (2021) - [i28]C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld:
A Masked Segmental Language Model for Unsupervised Natural Language Segmentation. CoRR abs/2104.07829 (2021) - [i27]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRR abs/2108.03272 (2021) - [i26]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRR abs/2108.03332 (2021) - [i25]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR abs/2108.13041 (2021) - [i24]Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia:
Extracting and Inferring Personal Attributes from Dialogue. CoRR abs/2109.12702 (2021) - [i23]Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li:
PSG: Prompt-based Sequence Generation for Acronym Extraction. CoRR abs/2111.14301 (2021) - [i22]Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li:
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation. CoRR abs/2111.14306 (2021) - [i21]Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He, Kang Liu, Jun Zhao:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. CoRR abs/2112.08991 (2021) - 2020
- [j78]Deqiong Ding, Fei Xia, Xiaogao Yang, Chang Tang:
Joint dictionary and graph learning for unsupervised feature selection. Appl. Intell. 50(5): 1379-1397 (2020) - [j77]Yuanhe Tian, Wang Shen, Yan Song, Fei Xia, Min He, Kenli Li:
Improving biomedical named entity recognition with syntactic information. BMC Bioinform. 21(1): 539 (2020) - [j76]Mohammed A. Noaman Al-Hayanni, Fei Xia, Ashur Rafiev, Alexander B. Romanovsky, Rishad A. Shafik, Alex Yakovlev:
Amdahl's law in the context of heterogeneous many-core systems - a survey. IET Comput. Digit. Tech. 14(4): 133-148 (2020) - [j75]Deqiong Ding, Xiaogao Yang, Fei Xia, Tiefeng Ma, Haiyun Liu, Chang Tang:
Unsupervised feature selection via adaptive hypergraph regularized latent representation learning. Neurocomputing 378: 79-97 (2020) - [j74]Zhenliang Wu, Yuwei Zhang, John Z. H. Zhang, Kelin Xia, Fei Xia:
Determining Optimal Coarse-Grained Representation for Biomolecules Using Internal Cluster Validation Indexes. J. Comput. Chem. 41(1): 14-20 (2020) - [j73]Haili Wen, Fei Xia, Hongxiang Tang:
Three-way decision for incomplete real-valued data. J. Intell. Fuzzy Syst. 39(5): 7843-7862 (2020) - [j72]Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. IEEE Robotics Autom. Lett. 5(2): 713-720 (2020) - [j71]Mohammed A. Noaman Al-Hayanni, Ashur Rafiev, Fei Xia, Rishad A. Shafik, Alexander B. Romanovsky, Alex Yakovlev:
PARMA: Parallelization-Aware Run-Time Management for Energy-Efficient Many-Core Systems. IEEE Trans. Computers 69(10): 1507-1518 (2020) - [c176]Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang, Yonggang Wang:
Improving Chinese Word Segmentation with Wordhood Memory Networks. ACL 2020: 8274-8285 - [c175]Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang, Yonggang Wang:
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge. ACL 2020: 8286-8296 - [c174]Yan Song, Yuanhe Tian, Nan Wang, Fei Xia:
Summarizing Medical Conversations via Identifying Important Utterances. COLING 2020: 717-729 - [c173]Yuanhe Tian, Yan Song, Fei Xia:
Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-grams. COLING 2020: 2073-2084 - [c172]Shengqi Yu, Ahmed Soltan, Rishad A. Shafik, Thanasin Bunnam, Fei Xia, Domenico Balsamo, Alex Yakovlev:
Current-Mode Carry-Free Multiplier Design using a Memristor-Transistor Crossbar Architecture. DATE 2020: 638-641 - [c171]Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas J. Guibas:
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes. ECCV (1) 2020: 422-440 - [c170]Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang:
Improving Constituency Parsing with Span Attention. EMNLP (Findings) 2020: 1691-1703 - [c169]Yuanhe Tian, Yan Song, Fei Xia:
Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks. EMNLP (1) 2020: 6037-6044 - [c168]Fei Xia, Zhicheng Wang, Chuanlin Zhang:
State of Charge Estimation of Lithium-ion Batteries with Particle Filter Algorithm. IECON 2020: 3628-3634 - [c167]Haotian Zhu, Denise Mak, Jesse Gioannini, Fei Xia:
NLPStatTest: A Toolkit for Comparing NLP System Performance. AACL/IJCNLP (System Demonstrations) 2020: 40-46 - [c166]Sergey Mileiko, Thanasin Bunnam, Fei Xia, Rishad A. Shafik, Alex Yakovlev:
Dynamics of Time-Domain Power-Elastic Circuits for Pervasive Machine Learning. ISCAS 2020: 1-5 - [i20]Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Yasumasa Tahara, Masanori Ishigaki, Silvio Savarese:
Probabilistic Visual Navigation with Bidirectional Image Prediction. CoRR abs/2003.09224 (2020) - [i19]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. CoRR abs/2008.07792 (2020) - [i18]Yuanhe Tian, Yan Song, Fei Xia:
Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks. CoRR abs/2010.06115 (2020) - [i17]Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang:
Improving Constituency Parsing with Span Attention. CoRR abs/2010.07543 (2020) - [i16]Haotian Zhu, Denise Mak, Jesse Gioannini, Fei Xia:
NLPStatTest: A Toolkit for Comparing NLP System Performance. CoRR abs/2011.13231 (2020) - [i15]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese:
iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. CoRR abs/2012.02924 (2020) - [i14]Yingda Yin, Qingnan Fan, Fei Xia, Qihang Fang, Siyan Dong, Leonidas J. Guibas, Baoquan Chen:
Active Visual Localization in Partially Calibrated Environments. CoRR abs/2012.04263 (2020)
2010 – 2019
- 2019
- [j70]Xin Man, Dun Mao, Xiaohong Lin, Fei Xia:
Object Tracking Using Sparsity Based Discriminative Minimum-Spanning-Tree. IEEE Access 7: 28726-28733 (2019) - [j69]Shanshan Meng, Qiang Zhu, Fei Xia:
Improvement of the Dynamic Priority Scheduling Algorithm Based on a Heapsort. IEEE Access 7: 68503-68510 (2019) - [j68]Minkang Chai, Fei Xia, Shuotao Hao, Daogang Peng, Chenggang Cui, Wei Liu:
PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment. IEEE Access 7: 115473-115486 (2019) - [j67]Fei Xia, Hongxiang Tang, Sichun Wang:
Relationships between knowledge bases and their uncertainty measures. Fuzzy Sets Syst. 376: 73-105 (2019) - [j66]Noriaki Hirose, Amir Sadeghian, Fei Xia, Roberto Martín-Martín, Silvio Savarese:
VUNet: Dynamic Scene View Synthesis for Traversability Estimation Using an RGB Camera. IEEE Robotics Autom. Lett. 4(2): 2062-2069 (2019) - [j65]Noriaki Hirose, Fei Xia, Roberto Martín-Martín, Amir Sadeghian, Silvio Savarese:
Deep Visual MPC-Policy Learning for Navigation. IEEE Robotics Autom. Lett. 4(4): 3184-3191 (2019) - [c165]Yuanhe Tian, Weicheng Ma, Fei Xia, Yan Song:
ChiMed: A Chinese Medical Corpus for Question Answering. BioNLP@ACL 2019: 250-260 - [c164]Zhaofeng Wu, Yan Song, Sicong Huang, Yuanhe Tian, Fei Xia:
WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference. BioNLP@ACL 2019: 415-426 - [c163]Chengshu Li, Fei Xia, Roberto Martín-Martín, Silvio Savarese:
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators. CoRL 2019: 603-616 - [c162]Yuhua Qiu, Xiaolong Xu, Fei Xia:
An Optimal Profit Route Planning Scheme Based on ACO-OPP. HPCC/SmartCity/DSS 2019: 766-773 - [c161]Xiao Sun, Xiaolong Xu, Fei Xia:
CROA: A Content-Based Recommendation Optimization Algorithm for Personalized Knowledge Services. HPCC/SmartCity/DSS 2019: 804-810 - [c160]Jing Nie, Chunlei Zhang, Dan Zou, Fei Xia, Lina Lu, Xiang Wang, Fei Zhao:
Adaptive Sparse Matrix-Vector Multiplication on CPU-GPU Heterogeneous Architecture. HPCCT/BDAI 2019: 6-10 - [c159]Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphaël Groscot, Leonidas J. Guibas:
Composite Shape Modeling via Latent Space Factorization. ICCV 2019: 8139-8148 - [c158]Wenjing Yuan, Jingjing Cao, Zeyi Jin, Fei Xia, Ran Wang:
A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. INDIN 2019: 1453-1458 - [c157]Danhui Li, Fei Xia, Junwen Luo, Alex Yakovlev:
Modelling Reversion Loss and Shoot-through Current in Switched-Capacitor DC-DC Converters with Petri Nets. PATMOS 2019: 69-74 - [c156]Martin J. Zhang, Fei Xia, James Zou:
AdaFDR: A Fast, Powerful and Covariate-Adaptive Approach to Multiple Hypothesis Testing. RECOMB 2019: 330-333 - [c155]Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. Robotics: Science and Systems 2019 - [c154]Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation. Robotics: Science and Systems 2019 - [i13]Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Leonidas J. Guibas:
Composite Shape Modeling via Latent Space Factorization. CoRR abs/1901.02968 (2019) - [i12]Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. CoRR abs/1903.00445 (2019) - [i11]Noriaki Hirose, Fei Xia, Roberto Martín-Martín, Amir Sadeghian, Silvio Savarese:
Deep Visual MPC-Policy Learning for Navigation. CoRR abs/1903.02749 (2019) - [i10]Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking. CoRR abs/1905.09304 (2019) - [i9]Sergey Mileiko, Thanasin Bunnam, Fei Xia, Rishad A. Shafik, Alex Yakovlev, Shidhartha Das:
Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding. CoRR abs/1910.07492 (2019) - [i8]Chengshu Li, Fei Xia, Roberto Martin Martin, Silvio Savarese:
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators. CoRR abs/1910.11432 (2019) - [i7]Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. CoRR abs/1910.14442 (2019) - 2018
- [j64]Qiao Liu, Fei Xia, Qijin Yin, Rui Jiang:
Chromatin accessibility prediction via a hybrid deep convolutional neural network. Bioinform. 34(5): 732-738 (2018) - [j63]Fei Xia, Hongxiang Tang:
Information structures in set-valued information systems from granular computing viewpoint. Expert Syst. J. Knowl. Eng. 35(5) (2018) - [j62]Qiang Wang, Yong Dou, Xinwang Liu, Fei Xia, Qi Lv, Ke Yang:
Local kernel alignment based multi-view clustering using extreme learning machine. Neurocomputing 275: 1099-1111 (2018) - [j61]Yang Li, Xianwei Wang, Longlong Ren, Xuecheng Cao, Changge Ji, Fei Xia, John Z. H. Zhang:
Electrostatic Polarization Effect on Cooperative Aggregation of Full Length Human Islet Amyloid. J. Chem. Inf. Model. 58(8): 1587-1595 (2018) - [j60]Sichun Wang, Fei Xia:
Invariant characteristics of knowledge structures in a knowledge base under homomorphisms and their uncertainty measures. J. Intell. Fuzzy Syst. 35(5): 5689-5705 (2018) - [j59]Hongxiang Tang, Fei Xia, Sichun Wang:
Information structures in a lattice-valued information system. Soft Comput. 22(24): 8059-8075 (2018) - [j58]Ashur Rafiev, Mohammed A. Noaman Al-Hayanni, Fei Xia, Rishad A. Shafik, Alexander B. Romanovsky, Alex Yakovlev:
Speedup and Power Scaling Models for Heterogeneous Many-Core Systems. IEEE Trans. Multi Scale Comput. Syst. 4(3): 436-449 (2018) - [c153]Nan Wang, Yan Song, Fei Xia:
Coding Structures and Actions with the COSTA Scheme in Medical Conversations. BioNLP 2018: 76-86 - [c152]Fei Xia, Amir Roshan Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese:
Gibson Env: Real-World Perception for Embodied Agents. CVPR 2018: 9068-9079 - [c151]Michael Wayne Goodman, Ryan Georgi, Fei Xia:
PDF-to-Text Reanalysis for Linguistic Data Mining. LREC 2018 - [c150]Nan Wang, Yan Song, Fei Xia:
Constructing a Chinese Medical Conversation Corpus Annotated with Conversational Structures and Actions. LREC 2018 - [c149]