| 2026 | DASFAA | A Cross-Modal Hierarchical Contrastive Learning Framework for Protein-Protein Interaction Prediction. | Ran Zhang, Yihong Wang, Xuezhi Wang, Qingqing Long, Jianghua Zhao, Meng Xiao |
| 2025 | AAAI | Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction. | Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang |
| 2025 | ICDM | DrugBank-2025: An AI-Ready Next-Generation Dataset for Drug-Drug Interaction Prediction. | Ran Zhang, Tian Du, Xiao Wu, Zidan Chen, Ping Xu, Pengjiang Li, Xuezhi Wang, Pengfei Wang |
| 2024 | ACL | FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. | Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong |
| 2024 | CIKM | H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction. | Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang |
| 2024 | CIKM | MOAT: Graph Prompting for 3D Molecular Graphs. | Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao |
| 2024 | DASFAA | M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. | Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang |
| 2024 | ICASSP | Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adapter. | Song Li, Yongbin You, Xuezhi Wang, Ke Ding, Guanglu Wan |
| 2024 | ICLR | Large Language Models as Tool Makers. | Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou |
| 2024 | ICLR | Large Language Models as Optimizers. | Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen |
| 2024 | ICML | Premise Order Matters in Reasoning with Large Language Models. | Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou |
| 2024 | ICONIP | AMPCL: Adaptive Meta-path Selection and Contrastive Learning for miRNA-Disease Prediction. | Wentao Cui, Chuan Hu, Chen Fang, Qingqing Long, Jiahao Zhang, Xuezhi Wang, Yuanchun Zhou |
| 2024 | Interspeech | MSR-86K: An Evolving, Multilingual Corpus with 86, 300 Hours of Transcribed Audio for Speech Recognition Research. | Song Li, Yongbin You, Xuezhi Wang, Zhengkun Tian, Ke Ding, Guanglu Wan |
| 2024 | IPIN | Exploiting auxiliary information for indoor smartphone user tracking. | Shuai Sun, Yan Li, Xuezhi Wang, Bill Moran |
| 2023 | CHI | A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. | Amanda Baughan, Xuezhi Wang, Ariel Liu, Allison Mercurio, Jilin Chen, Xiao Ma |
| 2023 | EACL | Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints. | Albert Lu, Hongxin Zhang, Yanzhe Zhang, Xuezhi Wang, Diyi Yang |
| 2023 | EMNLP | Large Language Models Can Self-Improve. | Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han |
| 2023 | EMNLP | Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. | Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2023 | ICLR | Self-Consistency Improves Chain of Thought Reasoning in Language Models. | Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou |
| 2023 | ICLR | Language models are multilingual chain-of-thought reasoners. | Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei |
| 2023 | ICLR | Recitation-Augmented Language Models. | Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou |
| 2023 | ICLR | UL2: Unifying Language Learning Paradigms. | Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler |
| 2023 | ICLR | TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. | Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez |
| 2023 | ICLR | Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. | Denny Zhou, Nathanael Schrli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi |
| 2022 | ACL | Continual Sequence Generation with Adaptive Compositional Modules. | Yanzhe Zhang, Xuezhi Wang, Diyi Yang |
| 2022 | EMNLP | Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. | Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang |
| 2022 | NAACL | Measure and Improve Robustness in NLP Models: A Survey. | Xuezhi Wang, Haohan Wang, Diyi Yang |
| 2022 | NAACL | Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. | Tianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang |
| 2022 | NOSSDAV | Dynamic DNN model selection and inference off loading for video analytics with edge-cloud collaboration. | Xuezhi Wang, Guanyu Gao, Xiaohu Wu, Yan Lyu, Weiwei Wu |
| 2021 | AIES | Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. | Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | EMNLP | Can We Improve Model Robustness through Secondary Attribute Counterfactuals? | Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel |
| 2021 | KDD | Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. | Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi |
| 2021 | NAACL | Continual Learning for Text Classification with Information Disentanglement Based Regularization. | Yufan Huang, Yanzhe Zhang, Jiaao Chen, Xuezhi Wang, Diyi Yang |
| 2021 | WSDM | Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. | Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2020 | EMNLP | ToTTo: A Controlled Table-To-Text Generation Dataset. | Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das |
| 2020 | EMNLP | CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. | Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi |
| 2020 | FUSION | On Parameter Mismatch for Hidden Markov Models Applied to Indoor Localization. | Shuai Sun, Yan Li, Xuezhi Wang, Wayne S. T. Rowe, Bill Moran |
| 2020 | IGARSS | A Crowdsourcing-Based Platform for Labelling Remote Sensing Images. | Jianghua Zhao, Xuezhi Wang, Yuanchun Zhou |
| 2019 | FUSION | RRT* Trajectory Scheduling Using Angles-Only Measurements for AUV Recovery. | Xuezhi Wang, Simon Williams, Daniel Angley, Christopher Gilliam, Trevor Jackson, Richard Ellem, Amanda Bessell, Bill Moran |
| 2019 | FUSION | Radio Source Localization Using Received Signal Strength in a Multipath Environment. | Shuai Sun, Xuezhi Wang, Bill Moran, Akram Al-Hourani, Wayne S. T. Rowe |
| 2019 | FUSION | Dynamic Target Driven Trajectory Planning using RRT. | Simon Williams, Xuezhi Wang, Daniel Angley, Christopher Gilliam, Bill Moran, Richard Ellem, Trevor Jackson, Amanda Bessell |
| 2019 | KDD | Contextual Fact Ranking and Its Applications in Table Synthesis and Compression. | Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu |
| 2019 | SIGMOD | Verifying Text Summaries of Relational Data Sets. | Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta |
| 2019 | SIGMOD | Automatically Generating Interesting Facts from Wikipedia Tables. | Flip Korn, Xuezhi Wang, You Wu, Cong Yu |
| 2018 | FUSION | Improved Adaptive Kalman Filter with Unknown Process Noise Covariance. | Jirong Ma, Hua Lan, Zengfu Wang, Xuezhi Wang, Quan Pan, Bill Moran |
| 2018 | ICASSP | A Modified Signal Phase Unwrapping Algorithm for Range Estimation. | Wenchao Li, Xuezhi Wang, Bill Moran |
| 2018 | IGARSS | Towards a Framework for Offering Remote Sensing Data in an Analysis-Ready Format. | Jianghua Zhao, Xuezhi Wang, Yuanchun Zhou, Qiming Qin |
| 2018 | WWW | Relevant Document Discovery for Fact-Checking Articles. | Xuezhi Wang, Cong Yu, Simon Baumgartner, Flip Korn |
| 2017 | FUSION | Target motion analysis with unknown measurement noise variance. | Branko Ristic, Xuezhi Wang, M. Sanjeev Arulampalam |
| 2017 | FUSION | Joint passive sensor scheduling for target tracking. | Xuezhi Wang, Branko Ristic, Braham Himed, Bill Moran |
| 2017 | ICASSP | A lattice method for resolving range ambiguity in dual-frequency RFID tag localisation. | Wenchao Li, Xuezhi Wang, Bill Moran |
| 2016 | FUSION | UAV localisation under linear mapping for vision-based navigation. | Xuezhi Wang, Zhenlu Jin, Quan Pan, Bill Moran |
| 2016 | FUSION | A comparison of iteratively reweighted least squares and Kalman Filter with EM in measurement error covariance estimation. | Yanbo Yang, Timothy C. Brown, Bill Moran, Xuezhi Wang, Quan Pan, Yuemei Qin |
| 2016 | ICASSP | Optimal UAV localisation in vision based navigation systems. | Zhenlu Jin, Xuezhi Wang, Quan Pan, Bill Moran |
| 2016 | ICASSP | A lattice algorithm for optimal phase unwrapping in noise. | Wenchao Li, Xuezhi Wang, Bill Moran |
| 2016 | IGARSS | Distributed retrieval for massive remote sensing image metadata on spark. | Fengyang Wang, Xuezhi Wang, Wenjuan Cui, Xiao Xiao, Yuanchun Zhou, Jianhui Li |
| 2016 | IJCAI | Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems. | Xuezhi Wang, Junier B. Oliva, Jeff G. Schneider, Barnabs Pczos |
| 2015 | UAI | Generalization Bounds for Transfer Learning under Model Shift. | Xuezhi Wang, Jeff G. Schneider |
| 2014 | FUSION | Landmark selection for scene matching with knowledge of color histogram. | Zhenlu Jin, Xuezhi Wang, Mark R. Morelande, William Moran, Quan Pan, Chunhui Zhao |
| 2014 | FUSION | Efficient scene matching using salient regions under spatial constraints. | Zhenlu Jin, Xuezhi Wang, William Moran, Quan Pan, Chunhui Zhao |
| 2014 | ICML | Active Transfer Learning under Model Shift. | Xuezhi Wang, Tzu-Kuo Huang, Jeff G. Schneider |
| 2013 | KDD | Active search on graphs. | Xuezhi Wang, Roman Garnett, Jeff G. Schneider |
| 2012 | FUSION | Tomographic radar imaging using frame theory. | Ya Jing Huang, Xuezhi Wang, Xiang Li, William Moran |
| 2012 | FUSION | Sensor network localisation with wrapped phase measurements. | Wenchao Li, Xuezhi Wang, William Moran |
| 2012 | FUSION | Enhanced OTHR detection using Bayesian fusion of multipath target returns. | Zengfu Wang, Xuezhi Wang, Yan Liang, Quan Pan |
| 2011 | FUSION | Resolving RIPS measurement ambiguity in maximum likelihood estimation. | Wenchao Li, Xuezhi Wang, William Moran |
| 2011 | ICASSP | Target tracking and localization with ambiguous phase measurements of sensor networks. | Yongqiang Cheng, Xuezhi Wang, Terry Caelli, William Moran |
| 2011 | ICDM | ADANA: Active Name Disambiguation. | Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu |
| 2010 | ADMA | Analyze the Wild Birds' Migration Tracks by MPI-Based Parallel Clustering Algorithm. | Haiming Zhang, Yuanchun Zhou, Jianhui Li, Xuezhi Wang, Baoping Yan |
| 2010 | FUSION | Sensor network performance evaluation in statistical manifolds. | Yongqiang Cheng, Xuezhi Wang, William Moran |
| 2010 | FUSION | Bearings-only tracking analysis via information geometry. | Xuezhi Wang, Yongqiang Cheng, William Moran |
| 2009 | FUSION | Automatic optical and IR image fusion for plant water stress analysis. | Weiping Yang, Xuezhi Wang, Ashley Wheaton, Nicola Cooley, William Moran |
| 2008 | FUSION | Feature aided probabilistic data association for multi-target tracking. | Xuezhi Wang, Barbara F. La Scala, Richard Ellem |
| 2008 | ICASSP | On-belt analysis of minerals using naturally occurring gamma radiation. | William Moran, Du Q. Huynh, Michael Edwards, Andrew Harris, Xuezhi Wang, Barbara F. La Scala |
| 2007 | FUSION | Track management and PMHT. | Darko Musicki, Xuezhi Wang |
| 2007 | FUSION | Target tracking using energy based detections. | Xuezhi Wang, Darko Musicki |
| 2006 | FUSION | Enhanced Tracking Performance with Signal Amplitude Information of Sensor Networks. | Xuezhi Wang, Darko Musicki |
| 2006 | FUSION | Multitarget Tracking Using Virtual Measurement of Binary Sensor Networks. | Xuezhi Wang, William Moran |