Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.

[BibT_eX]

[DOI]

Fuxiao Liu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Polarity Calibration for Opinion Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Skills-in-Context: Unlocking Compositionality in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

InFoBench: Evaluating Instruction Following Ability in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Analyzing Influential Factors in Human Preference Judgments via GPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Multi-document Summarization with Holistic Inference.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

More Than Spoken Words: Nonverbal Message Extraction and Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

OASum: Large-Scale Open Domain Aspect-based Summarization.

[BibT_eX]

[DOI]

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

Generating User-Engaging News Headlines.

[BibT_eX]

[DOI]

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

2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Salience Allocation as Guidance for Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Toward Unifying Text Segmentation and Long Document Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Abstractive Grounded Summarization of Podcast Transcripts.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation.

[BibT_eX]

[DOI]

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

2020

Requet: Real-Time QoE Metric Detection for Encrypted YouTube Traffic.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2020

Automatic Summarization of Open-Domain Podcast Episodes.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Summarization of Open-Domain Podcast Episodes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Requet: real-time QoE detection for encrypted YouTube traffic.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Multimedia Systems Conference, 2019

2017

Hierarchical Context Modeling for Video Event Recognition.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Object Recognition with Hidden Attributes.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multilingual articulatory features augmentation learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Taxonomy augmented object recognition.

[BibT_eX]

[DOI]

Xiaoyang Wang

Yue Zhao

Qiang Ji

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Shared speech attribute augmentation for English-Tibetan cross-language phone recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Video event recognition with deep hierarchical context model.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Context augmented Dynamic Bayesian Networks for event recognition.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Pattern Recognit. Lett., 2014

Learning with Hidden Information.

[BibT_eX]

[DOI]

Ziheng Wang

Xiaoyang Wang

Qiang Ji

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Attribute Augmentation with Sparse Coding.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Hierarchical Context Model for Event Recognition in Surveillance Video.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Learning dynamic Bayesian network discriminatively for human activity recognition.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the 21st International Conference on Pattern Recognition, 2012

A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition.

[BibT_eX]

[DOI]

Xiaoyang Wang

Qiang Ji

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

A large-scale benchmark dataset for event recognition in surveillance video.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

Xiaoyang Wang

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