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Published in In the proceedings of 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
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Recommended citation: Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia-Chih Chen, Jong Lee, Saurajit Mukherjee, JK Aggarwal, Hyungtae Lee, Larry Davis, All Others, "A large-scale benchmark dataset for event recognition in surveillance video." In the proceedings of 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
Published in In the proceedings of 2013 IEEE International Conference on Computer Vision (ICCV), 2013
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Recommended citation: Xiaoyang Wang, Qiang Ji, "A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects." In the proceedings of 2013 IEEE International Conference on Computer Vision (ICCV), 2013.
Published in In the proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
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Recommended citation: Xiaoyang Wang, Qiang Ji, "A Hierarchical Context Model for Event Recognition in Surveillance Video." In the proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
Published in Pattern Recognition Letters, 2014
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Recommended citation: Xiaoyang Wang, Qiang Ji, "Context augmented Dynamic Bayesian Networks for event recognition." Pattern Recognition Letters, 2014.
Published in In the proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
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Recommended citation: Xiaoyang Wang, Qiang Ji, "Video event recognition with deep hierarchical context model." In the proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016
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Recommended citation: Xiaoyang Wang, Qiang Ji, "Hierarchical context modeling for video event recognition." IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016.
Published in In the proceedings of Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018
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Recommended citation: Shujian Yu, Xiaoyang Wang, Jos{\'e} Pr{\'\i}ncipe, "Request-and-reverify: hierarchical hypothesis testing for concept drift detection with expensive labels." In the proceedings of Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Published in In the proceedings of Proceedings of the 10th ACM Multimedia Systems Conference, 2019
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Recommended citation: Craig Gutterman, Katherine Guo, Sarthak Arora, Xiaoyang Wang, Les Wu, Ethan Katz-Bassett, Gil Zussman, "Requet: Real-time qoe detection for encrypted youtube traffic." In the proceedings of Proceedings of the 10th ACM Multimedia Systems Conference, 2019.
Published in In the proceedings of Proceedings of the AAAI conference on artificial intelligence (AAAI), 2019
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Recommended citation: Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang, "Sta: Spatial-temporal attention for large-scale video-based person re-identification." In the proceedings of Proceedings of the AAAI conference on artificial intelligence (AAAI), 2019.
Published in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020
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Recommended citation: Craig Gutterman, Katherine Guo, Sarthak Arora, Trey Gilliland, Xiaoyang Wang, Les Wu, Ethan Katz-Bassett, Gil Zussman, "Requet: Real-time QoE metric detection for encrypted YouTube traffic." ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020.
Published in In the proceedings of Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020
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Recommended citation: Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen, "Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints." In the proceedings of Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
Published in In the proceedings of Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
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Recommended citation: Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu, "Naturalconv: A chinese dialogue dataset towards multi-turn topic-driven conversation." In the proceedings of Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021.
Published in In the proceedings of Uncertainty in Artificial Intelligence (UAI), 2022
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Recommended citation: Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao, "Meta-learning without data via wasserstein distributionally-robust model fusion." In the proceedings of Uncertainty in Artificial Intelligence (UAI), 2022.
Published in In the proceedings of Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Recommended citation: Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu, "Salience Allocation as Guidance for Abstractive Summarization." In the proceedings of Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
Published in In the proceedings of Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Recommended citation: Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu, "Toward Unifying Text Segmentation and Long Document Summarization." In the proceedings of Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
Published in In the proceedings of Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022
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Recommended citation: Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu, "Towards Abstractive Grounded Summarization of Podcast Transcripts." In the proceedings of Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
Published in In the proceedings of Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Recommended citation: Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen, "Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination." In the proceedings of Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
Published in In the proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP, 2023
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Recommended citation: Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu, "DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4." In the proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP, 2023.
Published in In the proceedings of Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Recommended citation: Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu, "Generating user-engaging news headlines." In the proceedings of Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Published in In the proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
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Recommended citation: Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Haitao Mi, Dong Yu, "More Than Spoken Words: Nonverbal Message Extraction and Generation." In the proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
Published in In the proceedings of Findings of the Association for Computational Linguistics: ACL 2023, 2023
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Recommended citation: Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda Petzold, Dong Yu, "OASum: Large-Scale Open Domain Aspect-based Summarization." In the proceedings of Findings of the Association for Computational Linguistics: ACL 2023, 2023.
Published in arXiv preprint arXiv:2312.08618, 2023
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Recommended citation: Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho, Xiaoman Pan, Dong Yu, "Zebra: Extending context window with layerwise grouped local-global attention." arXiv preprint arXiv:2312.08618, 2023.
Published in arXiv preprint arXiv:2403.04031, 2024
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Recommended citation: Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu, "Can Large Language Models do Analytical Reasoning?." arXiv preprint arXiv:2403.04031, 2024.
Published in arXiv preprint arXiv:2409.07703, 2024
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Recommended citation: Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu, "DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?." arXiv preprint arXiv:2409.07703, 2024.
Published in arXiv preprint arXiv:2410.01772, 2024
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Recommended citation: Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu, "Define: Enhancing llm decision-making with factor profiles and analogical reasoning." arXiv preprint arXiv:2410.01772, 2024.
Published in In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Recommended citation: Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu, "From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning." In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
Published in In the proceedings of Findings of the Association for Computational Linguistics: ACL 2024, 2024
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Recommended citation: Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu, "InFoBench: Evaluating Instruction Following Ability in Large Language Models." In the proceedings of Findings of the Association for Computational Linguistics: ACL 2024, 2024.
Published in In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Recommended citation: Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu, "MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning." In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
Published in In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Recommended citation: Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu, "Polarity Calibration for Opinion Summarization." In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
Published in arXiv preprint arXiv:2410.13184, 2024
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Recommended citation: Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang, Ang Li, Dong Yu, "Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers." arXiv preprint arXiv:2410.13184, 2024.
Published in arXiv preprint arXiv:2406.20094, 2024
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Recommended citation: Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, Dong Yu, "Scaling synthetic data creation with 1,000,000,000 personas." arXiv preprint arXiv:2406.20094, 2024.
Published in In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
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Recommended citation: Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen, "Skills-in-Context: Unlocking Compositionality in Large Language Models." In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2024, 2024.
Published in In the proceedings of Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024
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Recommended citation: Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu, "SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs." In the proceedings of Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
Published in In the proceedings of Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
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Recommended citation: Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu, "When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives." In the proceedings of Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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