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ORCIDAnqi Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Anqi Liu 0001
![[0000-0002-0468-5698]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0468-5698")
— Johns Hopkins University, Baltimore, MD, USA - Anqi Liu 0002 — Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Haidian, Beijing, China
- Anqi Liu 0003 — Cardiff University, Cardiff, UK
- Anqi Liu 0004 — Zhipu AI, Beijing, China
- Anqi Liu 0005 — Tianjin University, Tianjin, China
- Anqi Liu 0006 — Tulane University, New Orleans, LA, USA
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2020 – today
- 2026
[j26]Yu Zheng, Anqi Liu, Andong Huang, Do-Hwan Kim, Yunde Shen, Kyeong-Hwan Lee:
Realtime multi-RGBD SLAM framework for 3D reconstruction and phenotyping in large-scale apple orchards. Comput. Electron. Agric. 240: 111170 (2026)- [j25]Mingyu Zhao, Xingyu Huang, Songming Zhang, Anqi Liu, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai:
GraphProbe: Knowledge Probing for Graph Representation Learning. Pattern Recognit. 172: 112518 (2026) - [c39]Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu:
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. AAAI 2026: 39249-39258 - [c38]Anqi Liu, Qimin Cheng, Yingjie Du:
SHNet: Spectral Bias Guidance and Hierarchical Dependency Modeling Network for Camouflaged Object Detection. MMM (1) 2026: 537-551 - 2025
- [j24]Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang:
Machine learning for Internet of Things (IoT) device identification: a comparative study. PeerJ Comput. Sci. 11: e2873 (2025) - [j23]Shangwei Deng, Qianwen Ma, Shangqi Deng, Ziqian Chen, Ruoqi Lian, Bincheng Li, Anqi Liu, Kepeng Xu, Xiaobo Li, Haofeng Hu:
NeRI: Implicit Neural Representation for Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j22]José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu:
A Unified View of Double-Weighting for Marginal Distribution Shift. Trans. Mach. Learn. Res. 2025 (2025) - [c37]Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme:
Core: Robust Factual Precision with Informative Sub-Claim Identification. ACL (Findings) 2025: 19833-19856 - [c36]Ha Manh Bui, Enrique Mallada, Anqi Liu:
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits. AISTATS 2025: 4213-4221 - [c35]Zhirui Liang, Qi Li, Anqi Liu, Yury Dvorkin:
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach. CISS 2025: 1-6 - [c34]Zhouxiang Fang, Aayush Mishra, Muhan Gao, Anqi Liu, Daniel Khashabi:
ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers. EMNLP 2025: 25912-25933 - [c33]Anqi Liu, Baoyuan Qi, Xuedan Hu:
BladeLoRA: An Enhanced LoRA Method with Adaptive Rank Selection and Pruning for Efficient Fine-Tuning. KEIR 2025: 105-119 - [c32]Aayush Mishra, Anqi Liu:
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift. UAI 2025: 3031-3047 - [i33]Kevin He, David Adam, Sarah Han-Oh, Anqi Liu:
Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction. CoRR abs/2501.08963 (2025) - [i32]Aayush Mishra, David Joffe, Sankara Surendra Telidevara, David S. Oakley, Anqi Liu:
On the challenges of detecting MCI using EEG in the wild. CoRR abs/2501.17871 (2025) - [i31]Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Conformal Linguistic Calibration: Trading-off between Factuality and Specificity. CoRR abs/2502.19110 (2025) - [i30]Jiafan Lu, Dongcheng Hu, Yitian Ye, Anqi Liu, Zixian Zhang, Xin Peng:
The Composite Visual-Laser Navigation Method Applied in Indoor Poultry Farming Environments. CoRR abs/2504.08431 (2025) - [i29]Zhouxiang Fang, Aayush Mishra, Muhan Gao, Anqi Liu, Daniel Khashabi:
ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers. CoRR abs/2504.19395 (2025) - [i28]Liaoyaqi Wang, Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation. CoRR abs/2505.01595 (2025) - [i27]Aayush Mishra, Anqi Liu:
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift. CoRR abs/2506.14978 (2025) - [i26]Jiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez, Anqi Liu:
Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study. CoRR abs/2508.20244 (2025) - [i25]Aayush Mishra, Daniel Khashabi, Anqi Liu:
IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning. CoRR abs/2509.22621 (2025) - [i24]Junjie Luo, Yihong Guo, Anqi Liu, Ritu Agarwal, Guodong Gordon Gao:
PAME-AI: Patient Messaging Creation and Optimization using Agentic AI. CoRR abs/2509.24263 (2025) - [i23]Andrea Wynn, Metod Jazbec, Charith Peris, Rinat Khaziev, Anqi Liu, Daniel Khashabi, Eric T. Nalisnick:
Safe and Efficient In-Context Learning via Risk Control. CoRR abs/2510.02480 (2025) - [i22]Ha Manh Bui, Iliana Maifeld-Carucci, Anqi Liu:
Calibrated Uncertainty Sampling for Active Learning. CoRR abs/2510.03162 (2025) - [i21]Ha Manh Bui, Felix Parker, Kimia Ghobadi, Anqi Liu:
Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning. CoRR abs/2510.03181 (2025) - [i20]Yihong Guo, Junjie Luo, Gordon Gao, Ritu Agarwal, Anqi Liu:
Group-Sensitive Offline Contextual Bandits. CoRR abs/2510.27123 (2025) - [i19]Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu:
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. CoRR abs/2511.09914 (2025) - [i18]Nathan Breslow, Aayush Mishra, Mahler Revsine, Michael C. Schatz, Anqi Liu, Daniel Khashabi:
Genomic Next-Token Predictors are In-Context Learners. CoRR abs/2511.12797 (2025) - [i17]Shiyi Mu, Zichong Gu, Zhiqi Ai, Anqi Liu, Yilin Gao, Shugong Xu:
StereoDETR: Stereo-based Transformer for 3D Object Detection. CoRR abs/2511.18788 (2025) - 2024
- [j21]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) - [j20]Haishuang Sun, Min Liu, Anqi Liu, Mei Deng, Xiaoyan Yang, Han Kang, Ling Zhao, Yanhong Ren, Bingbing Xie, Rongguo Zhang, Huaping Dai:
Developing the Lung Graph-Based Machine Learning Model for Identification of Fibrotic Interstitial Lung Diseases. J. Imaging Inform. Medicine 37(1): 268-279 (2024) - [j19]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) - [j18]Zhibin Han, Yutong Cai, Anqi Liu, Yiran Zhao, Ciyun Lin:
MS-YOLOv8-Based Object Detection Method for Pavement Diseases. Sensors 24(14): 4569 (2024) - [j17]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) - [j16]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) - [c31]Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu:
RORA: Robust Free-Text Rationale Evaluation. ACL (1) 2024: 1070-1087 - [c30]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 - [c29]Ha Manh Bui, Anqi Liu:
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. AISTATS 2024: 2998-3006 - [c28]Anqi Liu, Shiyi Mu, Shugong Xu:
A Learnable Color Correction Matrix for RAW Reconstruction. BMVC 2024 - [c27]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 - [c26]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 - [c25]Yue Cao, Zheng Zhang, Anqi Liu, Yi Duan, Kaisui Zhang, Milin Zhang, Zhifeng Gao:
A Wireless Anesthesia Depth Monitoring System Based on Features Extracted from Frontal EEG. ICM 2024: 1-5 - [c24]Ha Manh Bui, Anqi Liu:
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts. ICML 2024: 4822-4853 - [c23]Kevin He, David Adam, Sarah Han-Oh, Anqi Liu:
Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction. ML4H@NeurIPS 2024: 456-470 - [c22]Yihong Guo, Yixuan Wang, Yuanyuan Shi, Pan Xu, Anqi Liu:
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation. NeurIPS 2024 - [c21]Jin Wu, Haoying Zhou, Peter Kazanzides, Adnan Munawar, Anqi Liu:
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking. NeurIPS 2024 - [i16]Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu:
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. CoRR abs/2401.11353 (2024) - [i15]Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu:
RORA: Robust Free-Text Rationale Evaluation. CoRR abs/2402.18678 (2024) - [i14]Ha Manh Bui, Anqi Liu:
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. CoRR abs/2403.05600 (2024) - [i13]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) - [i12]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) - [i11]Anqi Liu, Shiyi Mu, Shugong Xu:
A Learnable Color Correction Matrix for RAW Reconstruction. CoRR abs/2409.02497 (2024) - [i10]Ha Manh Bui, Enrique Mallada, Anqi Liu:
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits. CoRR abs/2411.05979 (2024) - [i9]Yihong Guo, Yixuan Wang, Yuanyuan Shi, Pan Xu, Anqi Liu:
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation. CoRR abs/2411.09891 (2024) - [i8]Zhirui Liang, Qi Li, Anqi Liu, Yury Dvorkin:
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach. CoRR abs/2412.10554 (2024) - 2023
- [j15]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) - [j14]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) - [j13]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) - [j12]Anqi Liu, Sumei Li, Yongli Chang:
Cross-resolution feature attention network for image super-resolution. Vis. Comput. 39(9): 3837-3849 (2023) - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]José Ignacio Segovia-Martín, Santiago Mazuelas, Anqi Liu:
Double-Weighting for Covariate Shift Adaptation. ICML 2023: 30439-30457 - [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] - [i7]Ha Manh Bui, Anqi Liu:
Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts. CoRR abs/2302.06495 (2023) - [i6]José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu:
Double-Weighting for Covariate Shift Adaptation. CoRR abs/2305.08637 (2023) - [i5]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) - 2022
- [j11]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) - [j10]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) - [c15]Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. EMNLP 2022: 2648-2674 - [c14]Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme:
Ambiguous Images With Human Judgments for Robust Visual Event Classification. NeurIPS 2022 - [i4]Aayush Mishra, Anqi Liu:
Repeated Environment Inference for Invariant Learning. CoRR abs/2207.12876 (2022) - [i3]Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme:
Ambiguous Images With Human Judgments for Robust Visual Event Classification. CoRR abs/2210.03102 (2022) - [i2]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
- [j9]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) - [j8]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) - [c13]Anqi Liu, Sumei Li, Yongli Chang:
Image Super-Resolution Using Multi-Resolution Attention Network. ICASSP 2021: 1610-1614 - [c12]Anqi Liu, Wenxiao Shi, Wei Liu, Zhuo Wang:
A Simplified System Model for Optical Camera Communication. ICCC 2021: 911-915 - [c11]Yongli Chang, Sumei Li, Anqi Liu:
Quality Assessment of Screen Content Images Based on Convolutional Neural Network with Dual Pathways. ICIP 2021: 579-583 - [c10]Yanhong Liu, Sumei Li, Anqi Liu:
Two-Way Guided Super-Resolution Reconstruction Network Based on Gradient Prior. ICIP 2021: 1819-1823 - [c9]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 - 2020
- [j7]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) - [j6]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) - [j5]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) - [c8]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 - [c7]Wen Li, Sumei Li, Anqi Liu:
Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network. ICIP 2020: 573-577
2010 – 2019
- 2019
- [c6]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 - [c5]Anqi Liu, Sumei Li, Sheng Chen:
A Progressive Network Based on Residual Multi-scale Aggregation for Image Super-Resolution. VCIP 2019: 1-4 - [i1]Quanying Liu, Haiyan Wu, Anqi Liu:
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. CoRR abs/1906.05803 (2019) - 2018
- [j4]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) - [j3]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) - [c4]Anqi Liu, Changle Li, Wenwei Yue, Xun Zhou:
Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data. GLOBECOM 2018: 1-7 - [c3]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 - 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) - 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) - [c2]Anqi Liu:
Robust Classification under Covariate Shift with Application to Active Learning. AAAI 2016: 4307-4308 - [c1]Anqi Liu:
Etude acoustique et représentation phonologique sur /ə˞/ suffixe rhotique en mandarin (Acoustic study and phonological representation of the rhotic suffix /ə˞/ in mandarin). JEP-TALN-RECITAL (1) 2016: 292-300
Coauthor Index
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