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Anqi Liu
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2020 – today
- 2025
- [j38]Anqi Liu, Sumei Li, Yongli Chang, Yonghong Hou:
EdgeStereoSR: A multi-task network with transformers for stereo image super-resolution considering edge prior. Signal Process. 227: 109719 (2025) - 2024
- [j37]Yuan Wang, Anqi Liu, JuCheng Yang, Lin Wang, Ning Xiong, Yisong Cheng, Qin Wu:
Clinical knowledge-guided deep reinforcement learning for sepsis antibiotic dosing recommendations. Artif. Intell. Medicine 150: 102811 (2024) - [j36]Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou:
CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. Comput. Biol. Medicine 170: 108058 (2024) - [j35]Chen Zhao, Kuan-Jui Su, Chong Wu, Xuewei Cao, Qiuying Sha, Wu Li, Zhe Luo, Qing Tian, Chuan Qiu, Lan Juan Zhao, Anqi Liu, Lindong Jiang, Xiao Zhang, Hui Shen, Weihua Zhou, Hong-Wen Deng:
Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data. Comput. Biol. Medicine 179: 108813 (2024) - [j34]Shiye Cao, Anqi Liu, Chien-Ming Huang:
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-32 (2024) - [j33]Xiaohui He, Anqi Liu, Zhihui Tian, Lili Wu, Guangsheng Zhou:
Response of Vegetation Phenology to Climate Change on the Tibetan Plateau Considering Time-Lag and Cumulative Effects. Remote. Sens. 16(1): 49 (2024) - [j32]Zhibin Han, Yutong Cai, Anqi Liu, Yiran Zhao, Ciyun Lin:
MS-YOLOv8-Based Object Detection Method for Pavement Diseases. Sensors 24(14): 4569 (2024) - [j31]Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Addressing the Binning Problem in Calibration Assessment through Scalar Annotations. Trans. Assoc. Comput. Linguistics 12: 120-136 (2024) - [j30]Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku:
Towards Human-Compatible Autonomous Car: A Study of Non-Verbal Turing Test in Automated Driving With Affective Transition Modelling. IEEE Trans. Affect. Comput. 15(2): 478-492 (2024) - [j29]Yongli Chang, Sumei Li, Anqi Liu, Wenlin Zhang, Jie Jin, Wei Xiang:
Bidirectional Feature Aggregation Network for Stereo Image Quality Assessment Considering Parallax Attention-Based Binocular Fusion. IEEE Trans. Broadcast. 70(1): 278-289 (2024) - [j28]Anqi Liu, Sumei Li, Yongli Chang, Yonghong Hou:
Multi-Scale Visual Perception Based Progressive Feature Interaction Network for Stereo Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1615-1626 (2024) - [j27]Junhuan Zhang, Haodong Wang, Jing Chen, Anqi Liu:
Cryptocurrency Price Bubble Detection Using Log-Periodic Power Law Model and Wavelet Analysis. IEEE Trans. Engineering Management 71: 11796-11812 (2024) - [j26]Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu:
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024) - [j25]Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu:
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift. Trans. Mach. Learn. Res. 2024 (2024) - [j24]Anqi Liu, Sumei Li, Yongli Chang, Wenlin Zhang, Yonghong Hou:
Coarse-to-Fine Cross-View Interaction Based Accurate Stereo Image Super-Resolution Network. IEEE Trans. Multim. 26: 7321-7334 (2024) - [c49]Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu:
RORA: Robust Free-Text Rationale Evaluation. ACL (1) 2024: 1070-1087 - [c48]Kelun Lu, Lingxin Hao, I-Jeng Wang, Anqi Liu:
Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis. AIED Companion (2) 2024: 38-46 - [c47]Ha Manh Bui, Anqi Liu:
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. AISTATS 2024: 2998-3006 - [c46]Hongming Guo, Ziqing Huang, Qian Yuan, Hanbo Song, Zhiyan Liu, Xianzhao Feng, Anqi Liu, Min Liu, Ke Li, Ruixi Zhou:
Advancing Free-Breathing Cardiac Cine MRI: Retrospective Respiratory Motion Correction Via Kspace-and-Image Guided Diffusion Model. ICANN (8) 2024: 189-202 - [c45]Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun:
ADOPD: A Large-Scale Document Page Decomposition Dataset. ICLR 2024 - [c44]Ha Manh Bui, Anqi Liu:
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts. ICML 2024 - [c43]Drew Prinster, Samuel Don Stanton, Anqi Liu, Suchi Saria:
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). ICML 2024 - [i36]Shiye Cao, Anqi Liu, Chien-Ming Huang:
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making. CoRR abs/2401.05612 (2024) - [i35]Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu:
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. CoRR abs/2401.11353 (2024) - [i34]Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu:
RORA: Robust Free-Text Rationale Evaluation. CoRR abs/2402.18678 (2024) - [i33]Ha Manh Bui, Anqi Liu:
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. CoRR abs/2403.05600 (2024) - [i32]Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria:
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). CoRR abs/2405.06627 (2024) - [i31]Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong-Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. CoRR abs/2405.07977 (2024) - [i30]Jin Wu, Haoying Zhou, Peter Kazanzides, Adnan Munawar, Anqi Liu:
SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning. CoRR abs/2406.13865 (2024) - [i29]Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme:
Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification. CoRR abs/2407.03572 (2024) - [i28]Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu:
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift. CoRR abs/2407.18428 (2024) - [i27]Anqi Liu, Shiyi Mu, Shugong Xu:
A Learnable Color Correction Matrix for RAW Reconstruction. CoRR abs/2409.02497 (2024) - 2023
- [j23]Song Liu, Anqi Liu, Zefeng Cai, Chunfeng Sun, Ruochen Liu:
Analysis of the Propagation Characteristics of Acoustic Waves From Leakages in Buried Gas Pipelines. IEEE Access 11: 113042-113049 (2023) - [j22]Zhiyong Zhou, Shuaikun Wang, Jisu Hu, Anqi Liu, Xusheng Qian, Chen Geng, Jian Zheng, Guangqiang Chen, Jiansong Ji, Yakang Dai:
Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance. Comput. Medical Imaging Graph. 108: 102260 (2023) - [j21]Chenquan Gan, Anqi Liu, Qingyi Zhu, Ye Zhu, Yong Xiang, Jun Liu:
Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications. Comput. Networks 237: 110087 (2023) - [j20]Yongli Chang, Sumei Li, Anqi Liu, Jie Jin, Wei Xiang:
Coarse-to-Fine Feedback Guidance Based Stereo Image Quality Assessment Considering Dominant Eye Fusion. IEEE Trans. Multim. 25: 8855-8867 (2023) - [j19]Anqi Liu, Sumei Li, Yongli Chang:
Cross-resolution feature attention network for image super-resolution. Vis. Comput. 39(9): 3837-3849 (2023) - [c42]Anqi Liu, Bo Wang, Yue Tan, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou:
MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns. ACL (Findings) 2023: 259-271 - [c41]Yue Tan, Bo Wang, Anqi Liu, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou:
Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph. ACL (Findings) 2023: 6506-6518 - [c40]Zhouhao Yang, Yihong Guo, Pan Xu, Anqi Liu, Animashree Anandkumar:
Distributionally Robust Policy Gradient for Offline Contextual Bandits. AISTATS 2023: 6443-6462 - [c39]Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku:
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling. CogSci 2023 - [c38]Drew Prinster, Suchi Saria, Anqi Liu:
Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. COPA 2023: 324-327 - [c37]Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova:
A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) 2023: 4973-4999 - [c36]Drew Prinster, Suchi Saria, Anqi Liu:
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift. ICML 2023: 28167-28190 - [c35]José Ignacio Segovia-Martín, Santiago Mazuelas, Anqi Liu:
Double-Weighting for Covariate Shift Adaptation. ICML 2023: 30439-30457 - [c34]Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan:
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI 2023: 1460-1469 - [c33]Pepita Barnard, John Robert Bautista, Joshua Krook, Anqi Liu, Héctor Menéndez, Aurora C. Schmidt, Tamim Sookoor:
MACAIF: Machine Learning Auditing for Clinical AI Fairness. TAS 2023: 40:1-40:4 - [e1]Gabriel Pedroza, Xiaowei Huang, Xin Cynthia Chen, Andreas Theodorou, Huáscar Espinoza, Nikolaos Matragkas, José Hernández-Orallo, Mauricio Castillo-Effen, Richard Mallah, John A. McDermid, David M. Bossens, Bettina Könighofer, Sebastian Tschiatschek, Anqi Liu:
Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), Macau, China, August 21-22, 2023. CEUR Workshop Proceedings 3505, CEUR-WS.org 2023 [contents] - [i26]Anton Orlichenko, Grant Daly, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang:
ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity. CoRR abs/2302.00767 (2023) - [i25]Ha Manh Bui, Anqi Liu:
Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts. CoRR abs/2302.06495 (2023) - [i24]Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou:
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. CoRR abs/2304.05542 (2023) - [i23]José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu:
Double-Weighting for Covariate Shift Adaptation. CoRR abs/2305.08637 (2023) - [i22]Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme:
MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR abs/2307.07049 (2023) - [i21]Chen Zhao, Kuan-Jui Su, Chong Wu, Xuewei Cao, Qiuying Sha, Wu Li, Zhe Luo, Tian Qin, Chuan Qiu, Lan Juan Zhao, Anqi Liu, Lindong Jiang, Xiao Zhang, Hui Shen, Weihua Zhou, Hong-Wen Deng:
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. CoRR abs/2310.07990 (2023) - 2022
- [j18]Chenquan Gan, Yi Qian, Anqi Liu, Qingyi Zhu:
Search-driven virus spreading on Social Internet of Things: A dynamical perspective. Commun. Nonlinear Sci. Numer. Simul. 114: 106624 (2022) - [j17]Yongli Chang, Sumei Li, Jie Jin, Anqi Liu, Wei Xiang:
Stereo image quality assessment considering the difference of statistical feature in early visual pathway. J. Vis. Commun. Image Represent. 89: 103643 (2022) - [j16]Anqi Liu, Sumei Li, Yongli Chang:
Image super-resolution using progressive residual multi-dilated aggregation network. Signal Image Video Process. 16(5): 1271-1279 (2022) - [c32]Yunfei Liu, Shengyang Li, Feihu Hu, Anqi Liu, Yanan Liu:
Explicit Sparse Attention Network for Multimodal Named Entity Recognition. CCKS 2022: 83-94 - [c31]Xiong Xiong, Yunfei Liu, Anqi Liu, Shuai Gong, Shengyang Li:
A Multi-Gate Encoder for Joint Entity and Relation Extraction. CCL 2022: 163-179 - [c30]Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. EMNLP 2022: 2648-2674 - [c29]Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme:
Ambiguous Images With Human Judgments for Robust Visual Event Classification. NeurIPS 2022 - [c28]Drew Prinster, Anqi Liu, Suchi Saria:
JAWS: Auditing Predictive Uncertainty Under Covariate Shift. NeurIPS 2022 - [i20]Drew Prinster, Anqi Liu, Suchi Saria:
JAWS: Predictive Inference Under Covariate Shift. CoRR abs/2207.10716 (2022) - [i19]Aayush Mishra, Anqi Liu:
Repeated Environment Inference for Invariant Learning. CoRR abs/2207.12876 (2022) - [i18]Xuewei Cao, Joyce H. Keyak, Sigurdur Sigurdsson, Chen Zhao, Weihua Zhou, Anqi Liu, Thomas Lang, Hong-Wen Deng, Vilmundur Gudnason, Qiuying Sha:
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads. CoRR abs/2210.01032 (2022) - [i17]Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme:
Ambiguous Images With Human Judgments for Robust Visual Event Classification. CoRR abs/2210.03102 (2022) - [i16]Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku:
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling. CoRR abs/2212.02908 (2022) - [i15]Zhitong Yang, Xing Ma, Anqi Liu, Zheyu Zhang:
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection. CoRR abs/2212.12363 (2022) - 2021
- [j15]Zhenqi Zhou, Zhen Xu, Anqi Liu, Shuang Zhou, Lan Mu, Xuan Zhang:
Mapping the Accessibility of Medical Facilities of Wuhan during the COVID-19 Pandemic. ISPRS Int. J. Geo Inf. 10(5): 318 (2021) - [j14]Yongli Chang, Sumei Li, Anqi Liu, Jie Jin:
Quality assessment of screen content images based on multi-stage dictionary learning. J. Vis. Commun. Image Represent. 79: 103248 (2021) - [j13]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics Autom. Lett. 6(1): 389-396 (2021) - [c27]Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart:
Robust Fairness Under Covariate Shift. AAAI 2021: 9419-9427 - [c26]Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue:
Active Learning under Label Shift. AISTATS 2021: 3412-3420 - [c25]Anqi Liu, Sumei Li, Yongli Chang:
Image Super-Resolution Using Multi-Resolution Attention Network. ICASSP 2021: 1610-1614 - [c24]Anqi Liu, Wenxiao Shi, Wei Liu, Zhuo Wang:
A Simplified System Model for Optical Camera Communication. ICCC 2021: 911-915 - [c23]Yongli Chang, Sumei Li, Anqi Liu:
Quality Assessment of Screen Content Images Based on Convolutional Neural Network with Dual Pathways. ICIP 2021: 579-583 - [c22]Yanhong Liu, Sumei Li, Anqi Liu:
Two-Way Guided Super-Resolution Reconstruction Network Based on Gradient Prior. ICIP 2021: 1819-1823 - [c21]Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar:
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. KDD 2021: 3576-3584 - [c20]Anqi Liu, Xin Guan, Di Sun, Haiyang Jiang, Chen Cui, Dawei Fang:
Short Term Voltage Stability Assessment with Incomplete Data Based on Deep Reinforcement Learning in the Internet of Energy. WASA (2) 2021: 225-236 - [i14]Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar:
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. CoRR abs/2101.06614 (2021) - [i13]Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar:
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. CoRR abs/2102.12596 (2021) - 2020
- [j12]Anqi Liu, Jing Chen, Steve Y. Yang, Alan G. Hawkes:
The Flow of Information in Trading: An Entropy Approach to Market Regimes. Entropy 22(9): 1064 (2020) - [j11]Anqi Liu, Keone Kelobonye, Zhenqi Zhou, Qiuxia Xu, Zhen Xu, Lingyun Han:
School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API. ISPRS Int. J. Geo Inf. 9(9): 520 (2020) - [j10]Xuan Zhao, Meichen Song, Anqi Liu, Yiming Wang, Tong Wang, Jinde Cao:
Data-Driven Temporal-Spatial Model for the Prediction of AQI in Nanjing. J. Artif. Intell. Soft Comput. Res. 10(4): 255-270 (2020) - [j9]Zufan Zhang, Anqi Liu, Yinxue Yi, Maobin Yang:
Exploring the Dynamical Behavior of Information Diffusion in D2D Communication Environment. Secur. Commun. Networks 2020: 8848576:1-8848576:8 (2020) - [j8]Zhongyang Zhu, Guangmin Sun, Anqi Liu, Cunfu He:
An Evolutionary Computation-Based Method for Nondestructive Tensile Force Measurements in Two Materials Using Hysteresis Loop. IEEE Trans. Instrum. Meas. 69(9): 6281-6295 (2020) - [c19]Yulin Wu, Anqi Liu, Lei Chen, Dong Zhao, Hongchao Zhou, Qinghe Zheng:
Multi-scale Attention Net for Retina Blood Vessel Segmentation. CSAI 2020: 86-90 - [c18]Wen Li, Sumei Li, Anqi Liu:
Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network. ICIP 2020: 573-577 - [c17]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. L4DC 2020: 608-619 - [i12]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. CoRR abs/2005.04374 (2020) - [i11]Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue:
Active Learning under Label Shift. CoRR abs/2007.08479 (2020) - [i10]Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart:
Robust Fairness under Covariate Shift. CoRR abs/2010.05166 (2020) - [i9]Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar:
Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR abs/2010.05784 (2020)
2010 – 2019
- 2019
- [c16]Yonglian Shi, Sumei Li, Wen Li, Anqi Liu:
Fast and Lightweight Image Super-Resolution Based on Dense Residuals Two-Channel Network. ICIP 2019: 2826-2830 - [c15]Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar:
Regularized Learning for Domain Adaptation under Label Shifts. ICLR (Poster) 2019 - [c14]Sima Behpour, Anqi Liu, Brian D. Ziebart:
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. ICML 2019: 563-572 - [c13]Anqi Liu, Sumei Li, Sheng Chen:
A Progressive Network Based on Residual Multi-scale Aggregation for Image Super-Resolution. VCIP 2019: 1-4 - [i8]Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar:
Regularized Learning for Domain Adaptation under Label Shifts. CoRR abs/1903.09734 (2019) - [i7]Quanying Liu, Haiyan Wu, Anqi Liu:
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. CoRR abs/1906.05803 (2019) - [i6]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. CoRR abs/1906.05819 (2019) - [i5]Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen, R. Michael Alvarez, Anima Anandkumar:
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates. CoRR abs/1911.05332 (2019) - [i4]Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue:
Triply Robust Off-Policy Evaluation. CoRR abs/1911.05811 (2019) - 2018
- [j7]Xiaoming Ding, Yan Yuan, Lijuan Su, Wanyue Wang, Zhenyi Ai, Anqi Liu:
Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer. IEEE Access 6: 29344-29352 (2018) - [j6]Na Wei, Chaoyang Xu, Yingfeng Meng, Gao Li, Xiao Ma, Anqi Liu:
Numerical simulation of gas-liquid two-phase flow in wellbore based on drift flux model. Appl. Math. Comput. 338: 175-191 (2018) - [j5]Anqi Liu, Cheuk Yin Jeffrey Mo, Mark E. Paddrik, Steve Y. Yang:
An Agent-Based Approach to Interbank Market Lending Decisions and Risk Implications. Inf. 9(6): 132 (2018) - [c12]Anqi Liu, Changle Li, Wenwei Yue, Xun Zhou:
Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data. GLOBECOM 2018: 1-7 - [c11]Anqi Liu, Changle Li, Bing Xia, Wenwei Yue, Zhifang Miao:
G-MACO: A Multi-Objective Route Planning Algorithm on Green Wave Effect for Electric Vehicles. VTC Spring 2018: 1-5 - [i3]Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart:
Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR abs/1812.07526 (2018) - 2017
- [j4]Qiang Song, Anqi Liu, Steve Y. Yang:
Stock portfolio selection using learning-to-rank algorithms with news sentiment. Neurocomputing 264: 20-28 (2017) - [j3]Steve Y. Yang, Sheung Yin Kevin Mo, Anqi Liu, Andrei Kirilenko:
Genetic programming optimization for a sentiment feedback strength based trading strategy. Neurocomputing 264: 29-41 (2017) - [j2]Xue Wang, Ying Pan, Liyou Song, Xiaochen Huang, Ming Liu, Anqi Liu:
Modelling and application for eclampsia with SimMom. Int. J. Simul. Process. Model. 12(2): 103-110 (2017) - [i2]Anqi Liu, Brian D. Ziebart:
Robust Covariate Shift Prediction with General Losses and Feature Views. CoRR abs/1712.10043 (2017) - [i1]Anqi Liu, Rizal Fathony, Brian D. Ziebart:
Kernel Robust Bias-Aware Prediction under Covariate Shift. CoRR abs/1712.10050 (2017) - 2016
- [j1]Yong Jin, Huan Dai, Canghai Sui, Anqi Liu, Ping Xu:
Opportunity cooperative embedded platform and control mechanism based on selectivity of time and frequency domain. EURASIP J. Embed. Syst. 2016: 5 (2016) - [c10]Anqi Liu:
Robust Classification under Covariate Shift with Application to Active Learning. AAAI 2016: 4307-4308 - [c9]Xiangli Chen, Mathew Monfort, Anqi Liu, Brian D. Ziebart:
Robust Covariate Shift Regression. AISTATS 2016: 1270-1279 - [c8]Rizal Fathony, Anqi Liu, Kaiser Asif, Brian D. Ziebart:
Adversarial Multiclass Classification: A Risk Minimization Perspective. NIPS 2016: 559-567 - [c7]Anqi Liu:
Etude acoustique et représentation phonologique sur /ÉË/ suffixe rhotique en mandarin (Acoustic study and phonological representation of the rhotic suffix /ÉË/ in mandarin). JEP-TALN-RECITAL (1) 2016: 292-300 - 2015
- [c6]Anqi Liu, Lev Reyzin, Brian D. Ziebart:
Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction. AAAI 2015: 2764-2770 - [c5]Mathew Monfort, Anqi Liu, Brian D. Ziebart:
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation. AAAI 2015: 3672-3678 - [c4]Hong Wang, Anqi Liu, Jing Wang, Brian D. Ziebart, Clement T. Yu, Warren Shen:
Context Retrieval for Web Tables. ICTIR 2015: 251-260 - [c3]Qiang Song, Anqi Liu, Steve Y. Yang, Anil Deane, Kaushik Datta:
An Extreme Firm-Specific News Sentiment Asymmetry Based Trading Strategy. SSCI 2015: 898-904 - 2014
- [c2]Steve Y. Yang, Anqi Liu, Sheung Yin Kevin Mo:
Twitter financial community modeling using agent based simulation. CIFEr 2014: 63-70 - [c1]Anqi Liu, Brian D. Ziebart:
Robust Classification Under Sample Selection Bias. NIPS 2014: 37-45
Coauthor Index
aka: Animashree Anandkumar
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-05 22:02 CET by the dblp team
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