Anqi Liu

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 117

Top Venues

Publications

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 (2024)
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 (2024)
Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu
RORA: Robust Free-Text Rationale Evaluation. ACL (1) (2024)
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 (2024)
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)
Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. CoRR (2024)
Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift. CoRR (2024)
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 (2024)
Ha Manh Bui, Anqi Liu
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. AISTATS (2024)
Zhibin Han, Yutong Cai, Anqi Liu, Yiran Zhao, Ciyun Lin
MS-YOLOv8-Based Object Detection Method for Pavement Diseases. Sensors 24 (14) (2024)
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) (2024)
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)
Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). CoRR (2024)
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)
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) (2024)
Zhengping Jiang, Anqi Liu, Benjamin Van Durme
Addressing the Binning Problem in Calibration Assessment through Scalar Annotations. Trans. Assoc. Comput. Linguistics 12 (2024)
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 (2024)
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)
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) (2024)
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) (2024)
Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu
RORA: Robust Free-Text Rationale Evaluation. CoRR (2024)
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 (2024)
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 (2024)
Ha Manh Bui, Anqi Liu
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. CoRR (2024)
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 (2024)
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) (2024)
Shiye Cao, Anqi Liu, Chien-Ming Huang
Designing for Appropriate Reliance: Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making. CoRR (2024)
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 (2023)
Zhouhao Yang, Yihong Guo, Pan Xu, Anqi Liu, Animashree Anandkumar
Distributionally Robust Policy Gradient for Offline Contextual Bandits. AISTATS (2023)
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)
Ha Manh Bui, Anqi Liu
Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts. CoRR (2023)
Anqi Liu, Sumei Li, Yongli Chang
Cross-resolution feature attention network for image super-resolution. Vis. Comput. 39 (9) (2023)
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 (2023)
Drew Prinster, Suchi Saria, Anqi Liu
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift. ICML (2023)
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 (2023)
José Ignacio Segovia-Martín, Santiago Mazuelas, Anqi Liu
Double-Weighting for Covariate Shift Adaptation. ICML (2023)
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)
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)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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)
Drew Prinster, Suchi Saria, Anqi Liu
Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. COPA (2023)
José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu
Double-Weighting for Covariate Shift Adaptation. CoRR (2023)
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)
Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme
Ambiguous Images With Human Judgments for Robust Visual Event Classification. CoRR (2022)
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 (2022)
Zhengping Jiang, Anqi Liu, Benjamin Van Durme
Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. EMNLP (2022)
Aayush Mishra, Anqi Liu
Repeated Environment Inference for Invariant Learning. CoRR (2022)
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 (2022)
Drew Prinster, Anqi Liu, Suchi Saria
JAWS: Auditing Predictive Uncertainty Under Covariate Shift. NeurIPS (2022)
Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme
Ambiguous Images With Human Judgments for Robust Visual Event Classification. NeurIPS (2022)
Drew Prinster, Anqi Liu, Suchi Saria
JAWS: Predictive Inference Under Covariate Shift. CoRR (2022)
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 (2022)
Anqi Liu, Sumei Li, Yongli Chang
Image super-resolution using progressive residual multi-dilated aggregation network. Signal Image Video Process. 16 (5) (2022)
Xiong Xiong, Yunfei Liu, Anqi Liu, Shuai Gong, Shengyang Li
A Multi-Gate Encoder for Joint Entity and Relation Extraction. CCL (2022)
Yunfei Liu, Shengyang Li, Feihu Hu, Anqi Liu, Yanan Liu
Explicit Sparse Attention Network for Multimodal Named Entity Recognition. CCKS (2022)
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 (2022)
Zhitong Yang, Xing Ma, Anqi Liu, Zheyu Zhang
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection. CoRR (2022)
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) (2021)
Anqi Liu, Wenxiao Shi, Wei Liu, Zhuo Wang
A Simplified System Model for Optical Camera Communication. ICCC (2021)
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 (2021)
Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. CoRR (2021)
Yanhong Liu, Sumei Li, Anqi Liu
Two-Way Guided Super-Resolution Reconstruction Network Based on Gradient Prior. ICIP (2021)
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 (2021)
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)
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
Active Learning under Label Shift. AISTATS (2021)
Anqi Liu, Sumei Li, Yongli Chang
Image Super-Resolution Using Multi-Resolution Attention Network. ICASSP (2021)
Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart
Robust Fairness Under Covariate Shift. AAAI (2021)
Anqi Liu
Advantages of Green Products and Services: Successful Cases among Listed Companies in China. ICIMTECH (2021)
Yongli Chang, Sumei Li, Anqi Liu
Quality Assessment of Screen Content Images Based on Convolutional Neural Network with Dual Pathways. ICIP (2021)
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)
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) (2021)
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) (2020)
Wen Li, Sumei Li, Anqi Liu
Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network. ICIP (2020)
Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
Robust Regression for Safe Exploration in Control. L4DC (2020)
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar
Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR (2020)
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) (2020)
Zufan Zhang, Anqi Liu, Yinxue Yi, Maobin Yang
Exploring the Dynamical Behavior of Information Diffusion in D2D Communication Environment. Secur. Commun. Networks 2020 (2020)
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 (2020)
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) (2020)
Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart
Robust Fairness under Covariate Shift. CoRR (2020)
Yulin Wu, Anqi Liu, Lei Chen, Dong Zhao, Hongchao Zhou, Qinghe Zheng
Multi-scale Attention Net for Retina Blood Vessel Segmentation. CSAI (2020)
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
Active Learning under Label Shift. CoRR (2020)
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) (2020)
Anqi Liu, Sumei Li, Sheng Chen
A Progressive Network Based on Residual Multi-scale Aggregation for Image Super-Resolution. VCIP (2019)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. CoRR (2019)
Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
Robust Regression for Safe Exploration in Control. CoRR (2019)
Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue
Triply Robust Off-Policy Evaluation. CoRR (2019)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. ICLR (Poster) (2019)
Quanying Liu, Haiyan Wu, Anqi Liu
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. CoRR (2019)
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 (2019)
Sima Behpour, Anqi Liu, Brian D. Ziebart
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. ICML (2019)
Yonglian Shi, Sumei Li, Wen Li, Anqi Liu
Fast and Lightweight Image Super-Resolution Based on Dense Residuals Two-Channel Network. ICIP (2019)
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 (2018)
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) (2018)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anqi Liu