Yan Liu
Orcid: 0000-0002-7055-9518Affiliations:
- University of Southern California, Computer Science Department, Los Angeles, CA, USA
- IBM T. J. Watson Research Center, CA, USA (former)
- Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA (former)
According to our database1,
Yan Liu
authored at least 229 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models.
CoRR, 2024
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving.
CoRR, 2024
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.
CoRR, 2023
CoRR, 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments.
CoRR, 2023
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model.
CoRR, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns.
Proceedings of the Advances in Information Retrieval, 2023
SVGformer: Representation Learning for Continuous Vector Graphics using Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data.
ACM Trans. Spatial Algorithms Syst., 2022
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality.
Patterns, 2022
Surgical gestures as a method to quantify surgical performance and predict patient outcomes.
npj Digit. Medicine, 2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift.
CoRR, 2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality.
CoRR, 2022
CoRR, 2022
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Heal. Informatics Res., 2021
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids.
CoRR, 2021
COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter.
CoRR, 2021
CoRR, 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset.
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data.
CoRR, 2020
CoRR, 2020
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
J. Mach. Learn. Res., 2019
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting.
CoRR, 2019
D<sup>2</sup>-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios.
CoRR, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
J. Biomed. Informatics, 2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Neural User Response Generator: Fake News Detection with Collective User Intelligence.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Partially Generative Neural Networks for Gang Crime Classification with Partial Information.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Encyclopedia of GIS., 2017
CoRR, 2017
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding.
CoRR, 2017
Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Proceedings of the AMIA 2017, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
2016
ACM Trans. Knowl. Discov. Data, 2016
On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps.
CoRR, 2016
CoRR, 2016
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Proceedings of the AMIA 2016, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
Comput. Sci. Eng., 2015
CoRR, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Knowl. Inf. Syst., 2014
CoRR, 2014
Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models.
CoRR, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media.
Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014
Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
FBLG: a simple and effective approach for temporal dependence discovery from time series data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 3rd International Workshop on Big Data, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
ACM Trans. Intell. Syst. Technol., 2013
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
2012
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
CoRR, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems.
Proceedings of the 29th International Conference on Machine Learning, 2012
Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling.
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the Discovery Informatics: The Role of AI Research in Innovating Scientific Processes, 2012
2011
ACM Trans. Knowl. Discov. Data, 2011
J. Bioinform. Comput. Biol., 2011
Proceedings of the WORKS'11, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
A Framework for Efficient Data Analytics through Automatic Configuration and Customization of Scientific Workflows.
Proceedings of the IEEE 7th International Conference on E-Science, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Data Min. Knowl. Discov., 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009
J. Comput. Biol., 2009
Grouped graphical Granger modeling for gene expression regulatory networks discovery.
Bioinform., 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Who is the expert? Analyzing gaze data to predict expertise level in collaborative applications.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
SIGKDD Explor., 2007
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007
2006
J. Comput. Biol., 2006
Proceedings of the From Web to Social Web: Discovering and Deploying User and Content Profiles, 2006
2005
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition.
Proceedings of the Research in Computational Molecular Biology, 2005
Proceedings of the Machine Learning, 2005
2004
Comparison of probabilistic combination methods for protein secondary structure prediction.
Bioinform., 2004
Context sensitive vocabulary and its application in protein secondary structure prediction.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004
Proceedings of the Machine Learning, 2004
2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2002
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002