Xuchao Zhang

Pedro Henrique B. Las-Casas

Chetan Bansal

Rodrigo Fonseca

Saravan Rajmohan

CoRR, 2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge-enhanced Neural Machine Reasoning: A Review.

[BibT_eX]

[DOI]

CoRR, 2023

LANS: Large-scale Arabic News Summarization Corpus.

[BibT_eX]

[DOI]

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure.

[BibT_eX]

[DOI]

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Multi-Label Temporal Evidential Neural Networks for Early Event Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Candidates.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Time Series Contrastive Learning with Information-Aware Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Corpus-level and Concept-based Explanations for Interpretable Document Classification.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Online and Distributed Robust Regressions with Extremely Noisy Labels.

[BibT_eX]

[DOI]

Shuo Lei

ACM Trans. Knowl. Discov. Data, 2022

Semantic inpainting on segmentation map via multi-expansion loss.

[BibT_eX]

[DOI]

Neurocomputing, 2022

LANS: Large-scale Arabic News Summarization Corpus.

[BibT_eX]

[DOI]

CoRR, 2022

Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DeepGAR: Deep Graph Learning for Analogical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Seed: Sound Event Early Detection Via Evidential Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Cross-Domain Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Document Embedding via Contrastive Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Concept Representation Learning for Length-Varying Text Similarity.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Aspect-based Sentiment Classification via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-Task Recurrent Modular Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Semantic Editing On Segmentation Map Via Multi-Expansion Loss.

[BibT_eX]

[DOI]

CoRR, 2020

Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations.

[BibT_eX]

[DOI]

CoRR, 2020

A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Temporal Context-Aware Representation Learning for Question Routing.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Robust Multi-Target Regression for Correlated Data Corruption.

[BibT_eX]

[DOI]

Yingwen Shao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Towards More Accurate Uncertainty Estimation In Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scalable Robust Models Under Adversarial Data Corruption.

[BibT_eX]

[DOI]

PhD thesis, 2019

Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation.

[BibT_eX]

[DOI]

Shuo Lei

ACM Trans. Knowl. Discov. Data, 2019

Mitigating Uncertainty in Document Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Modeling the Relationship between User Comments and Edits in Document Revision.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Similarity-Aware Network Embedding with Self-Paced Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Feature driven learning framework for cybersecurity event detection.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator.

[BibT_eX]

[DOI]

CoRR, 2018

Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding.

[BibT_eX]

[DOI]

CoRR, 2018

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Regression via Online Feature Selection Under Adversarial Data Corruption.

[BibT_eX]

[DOI]

Shuo Lei

Proceedings of the IEEE International Conference on Data Mining, 2018

Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Situation-Based Interpretable Learning for Personality Prediction in Social Media.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Robust Regression via Heuristic Hard Thresholding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multimodal Storytelling via Generative Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Jing Dai

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online and Distributed Robust Regressions Under Adversarial Data Corruption.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data.

[BibT_eX]

[DOI]

Naren Ramakrishnan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics.

[BibT_eX]

[DOI]

Jing Dai

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

TRACES: Generating Twitter stories via shared subspace and temporal smoothness.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Automatical Storyline Generation with Help from Twitter.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing.

[BibT_eX]

[DOI]

Weisheng Zhong