| 2026 | AAAI | OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. | 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 |
| 2026 | HRI | Reframing Conversational Design in HRI: Deliberate Design with AI Scaffolds. | Shiye Cao, Jiwon Moon, Yifan Xu, Anqi Liu, Chien-Ming Huang |
| 2026 | MMM | SHNet: Spectral Bias Guidance and Hierarchical Dependency Modeling Network for Camouflaged Object Detection. | Anqi Liu, Qimin Cheng, Yingjie Du |
| 2025 | ACL | Core: Robust Factual Precision with Informative Sub-Claim Identification. | Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme |
| 2025 | AIES | Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study. | 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 |
| 2025 | AISTATS | Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits. | Ha Manh Bui, Enrique Mallada, Anqi Liu |
| 2025 | CISS | Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach. | Zhirui Liang, Qi Li, Anqi Liu, Yury Dvorkin |
| 2025 | EMNLP | ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers. | Zhouxiang Fang, Aayush Mishra, Muhan Gao, Anqi Liu, Daniel Khashabi |
| 2025 | ICML | WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. | Drew Prinster, Xing Han, Anqi Liu, Suchi Saria |
| 2025 | UAI | ODD: Overlap-aware Estimation of Model Performance under Distribution Shift. | Aayush Mishra, Anqi Liu |
| 2024 | ACL | RORA: Robust Free-Text Rationale Evaluation. | Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu |
| 2024 | AIED | Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis. | Kelun Lu, Lingxin Hao, I-Jeng Wang, Anqi Liu |
| 2024 | AISTATS | Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. | Ha Manh Bui, Anqi Liu |
| 2024 | BMVC | A Learnable Color Correction Matrix for RAW Reconstruction. | Anqi Liu, Shiyi Mu, Shugong Xu |
| 2024 | ICANN | Advancing Free-Breathing Cardiac Cine MRI: Retrospective Respiratory Motion Correction Via Kspace-and-Image Guided Diffusion Model. | Hongming Guo, Ziqing Huang, Qian Yuan, Hanbo Song, Zhiyan Liu, Xianzhao Feng, Anqi Liu, Min Liu, Ke Li, Ruixi Zhou |
| 2024 | ICLR | ADOPD: A Large-Scale Document Page Decomposition Dataset. | Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun |
| 2024 | ICML | Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts. | Ha Manh Bui, Anqi Liu |
| 2024 | ICML | Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). | Drew Prinster, Samuel Don Stanton, Anqi Liu, Suchi Saria |
| 2023 | ACL | MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns. | Anqi Liu, Bo Wang, Yue Tan, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2023 | ACL | Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph. | Yue Tan, Bo Wang, Anqi Liu, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2023 | AISTATS | Distributionally Robust Policy Gradient for Offline Contextual Bandits. | Zhouhao Yang, Yihong Guo, Pan Xu, Anqi Liu, Animashree Anandkumar |
| 2023 | CogSci | Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling. | Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku |
| 2023 | EMNLP | A Critical Analysis of Document Out-of-Distribution Detection. | 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 |
| 2023 | ICML | JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift. | Drew Prinster, Suchi Saria, Anqi Liu |
| 2023 | ICML | Double-Weighting for Covariate Shift Adaptation. | Jos Ignacio Segovia-Martn, Santiago Mazuelas, Anqi Liu |
| 2023 | IJCAI | Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. | Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan |
| 2022 | EMNLP | Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. | Zhengping Jiang, Anqi Liu, Benjamin Van Durme |
| 2021 | AAAI | Robust Fairness Under Covariate Shift. | Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart |
| 2021 | AISTATS | Active Learning under Label Shift. | Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue |
| 2021 | ICASSP | Image Super-Resolution Using Multi-Resolution Attention Network. | Anqi Liu, Sumei Li, Yongli Chang |
| 2021 | ICIP | Quality Assessment of Screen Content Images Based on Convolutional Neural Network with Dual Pathways. | Yongli Chang, Sumei Li, Anqi Liu |
| 2021 | ICIP | Two-Way Guided Super-Resolution Reconstruction Network Based on Gradient Prior. | Yanhong Liu, Sumei Li, Anqi Liu |
| 2021 | KDD | Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. | Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar |
| 2020 | ICIP | Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network. | Wen Li, Sumei Li, Anqi Liu |
| 2019 | ICIP | Fast and Lightweight Image Super-Resolution Based on Dense Residuals Two-Channel Network. | Yonglian Shi, Sumei Li, Wen Li, Anqi Liu |
| 2019 | ICLR | Regularized Learning for Domain Adaptation under Label Shifts. | Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar |
| 2019 | ICML | Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. | Sima Behpour, Anqi Liu, Brian D. Ziebart |
| 2019 | VCIP | A Progressive Network Based on Residual Multi-scale Aggregation for Image Super-Resolution. | Anqi Liu, Sumei Li, Sheng Chen |
| 2018 | GLOBECOM | Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data. | Anqi Liu, Changle Li, Wenwei Yue, Xun Zhou |
| 2018 | VTC | G-MACO: A Multi-Objective Route Planning Algorithm on Green Wave Effect for Electric Vehicles. | Anqi Liu, Changle Li, Bing Xia, Wenwei Yue, Zhifang Miao |
| 2016 | AAAI | Robust Classification under Covariate Shift with Application to Active Learning. | Anqi Liu |
| 2016 | AISTATS | Robust Covariate Shift Regression. | Xiangli Chen, Mathew Monfort, Anqi Liu, Brian D. Ziebart |
| 2015 | AAAI | Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction. | Anqi Liu, Lev Reyzin, Brian D. Ziebart |
| 2015 | AAAI | Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation. | Mathew Monfort, Anqi Liu, Brian D. Ziebart |
| 2015 | ICTIR | Context Retrieval for Web Tables. | Hong Wang, Anqi Liu, Jing Wang, Brian D. Ziebart, Clement T. Yu, Warren Shen |