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ORCIDXiaoyang Wang 0001
Person information
- affiliation: Tencent AI Lab, Bellevue, WA, USA
- affiliation (2015 - 2019): Nokia Bell Labs, Murray Hill, NJ, USA
- affiliation (PhD 2015): Rensselaer Polytechnic Institute, Troy, NY, USA
Other persons with the same name
- Xiaoyang Wang — disambiguation page
- Xiaoyang Wang 0002
![[0000-0003-3554-3219]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3554-3219")
— University of New South Wales, Sydney, NSW, Australia (and 3 more) - Xiaoyang Wang 0003 — University of California at San Diego, La Jolla, CA, USA
- Xiaoyang Wang 0004 — Beihang University, Department of Opto-electronics Engineering, Beijing, China
- Xiaoyang Wang 0005 — University of Exeter, UK (and 2 more)
- Xiaoyang Wang 0006 — Peking University, Center for Energy-efficient Computing and Applications, Beijing, China
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2020 – today
- 2025
[j4]Shuqi Liu, Han Wu, Guanzhi Deng, Jianshu Chen, Xiaoyang Wang, Linqi Song:
Towards Improving Interpretability of Language Model Generation Through a Structured Knowledge Discovery Approach. IEEE J. Sel. Top. Signal Process. 19(1): 32-44 (2025)- [c37]Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu:
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles. ACL (Findings) 2025: 4587-4603 - [c36]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 from Becoming Data Science Experts? ICLR 2025 - [i28]Xiaoyang Wang, Hongming Zhang, Tao Ge, Wenhao Yu, Dian Yu, Dong Yu:
OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas. CoRR abs/2501.15427 (2025) - [i27]Tianqing Fang, Zhisong Zhang, Xiaoyang Wang, Rui Wang, Can Qin, Yuxuan Wan, Jun-Yu Ma, Ce Zhang, Jiaqi Chen, Xiyun Li, Hongming Zhang, Haitao Mi, Dong Yu:
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training. CoRR abs/2508.00414 (2025) - [i26]Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu:
R-Zero: Self-Evolving Reasoning LLM from Zero Data. CoRR abs/2508.05004 (2025) - [i25]Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu:
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning. CoRR abs/2509.07980 (2025) - 2024
- [c35]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. ACL (1) 2024: 267-278 - [c34]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. ACL (Findings) 2024: 13025-13048 - [c33]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. EMNLP 2024: 4293-4308 - [c32]Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Skills-in-Context: Unlocking Compositionality in Large Language Models. EMNLP (Findings) 2024: 13838-13890 - [c31]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. NAACL-HLT 2024: 1287-1310 - [c30]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. NAACL-HLT 2024: 2341-2369 - [c29]Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu:
Polarity Calibration for Opinion Summarization. NAACL-HLT 2024: 5211-5224 - [i24]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. CoRR abs/2401.03601 (2024) - [i23]Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu:
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization. CoRR abs/2401.17597 (2024) - [i22]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. CoRR abs/2402.10979 (2024) - [i21]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu:
Can Large Language Models do Analytical Reasoning? CoRR abs/2403.04031 (2024) - [i20]Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu:
Polarity Calibration for Opinion Summarization. CoRR abs/2404.01706 (2024) - [i19]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. CoRR abs/2406.12084 (2024) - [i18]Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, Dong Yu:
Scaling Synthetic Data Creation with 1,000,000,000 Personas. CoRR abs/2406.20094 (2024) - [i17]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? CoRR abs/2409.07703 (2024) - [i16]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. CoRR abs/2410.01772 (2024) - [i15]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. CoRR abs/2410.13184 (2024) - 2023
- [c28]Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu:
Generating User-Engaging News Headlines. ACL (1) 2023: 3265-3280 - [c27]Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu:
OASum: Large-Scale Open Domain Aspect-based Summarization. ACL (Findings) 2023: 4381-4401 - [c26]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu:
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4. EMNLP 2023: 8344-8357 - [c25]Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Haitao Mi, Dong Yu:
More Than Spoken Words: Nonverbal Message Extraction and Generation. EMNLP 2023: 16396-16413 - [c24]Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu:
Unsupervised Multi-document Summarization with Holistic Inference. IJCNLP (Findings) 2023: 123-133 - [i14]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu:
Analyzing Influential Factors in Human Preference Judgments via GPT-4. CoRR abs/2305.14702 (2023) - [i13]Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. CoRR abs/2308.00304 (2023) - [i12]Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu:
Unsupervised Multi-document Summarization with Holistic Inference. CoRR abs/2309.04087 (2023) - [i11]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. CoRR abs/2310.00492 (2023) - [i10]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. CoRR abs/2311.10774 (2023) - [i9]Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho, Xiaoman Pan, Dong Yu:
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention. CoRR abs/2312.08618 (2023) - 2022
- [c23]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu:
Towards Abstractive Grounded Summarization of Podcast Transcripts. ACL (1) 2022: 4407-4418 - [c22]Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu:
Toward Unifying Text Segmentation and Long Document Summarization. EMNLP 2022: 106-118 - [c21]Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. EMNLP 2022: 1186-1203 - [c20]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. EMNLP 2022: 6094-6106 - [c19]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. UAI 2022: 2045-2055 - [i8]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu:
Towards Abstractive Grounded Summarization of Podcast Transcripts. CoRR abs/2203.11425 (2022) - [i7]Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. CoRR abs/2210.12261 (2022) - [i6]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. CoRR abs/2210.12330 (2022) - [i5]Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu:
Toward Unifying Text Segmentation and Long Document Summarization. CoRR abs/2210.16422 (2022) - [i4]Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu:
OASum: Large-Scale Open Domain Aspect-based Summarization. CoRR abs/2212.09233 (2022) - 2021
- [c18]Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu:
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation. AAAI 2021: 14006-14014 - [i3]Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu:
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation. CoRR abs/2103.02548 (2021) - 2020
- [j3]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 Trans. Multim. Comput. Commun. Appl. 16(2s): 71:1-71:28 (2020) - [c17]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL 2020: 1072-1086 - [c16]Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu:
Automatic Summarization of Open-Domain Podcast Episodes. TREC 2020 - [i2]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR abs/2005.00969 (2020) - [i1]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng:
Automatic Summarization of Open-Domain Podcast Episodes. CoRR abs/2011.04132 (2020)
2010 – 2019
- 2019
- [c15]Craig Gutterman, Katherine Guo, Sarthak Arora, Xiaoyang Wang, Les Wu, Ethan Katz-Bassett, Gil Zussman:
Requet: real-time QoE detection for encrypted YouTube traffic. MMSys 2019: 48-59 - 2017
- [j2]Xiaoyang Wang, Qiang Ji:
Hierarchical Context Modeling for Video Event Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1770-1782 (2017) - 2016
- [c14]Xiaoyang Wang, Yue Zhao, Qiang Ji:
Taxonomy augmented object recognition. ICPR 2016: 1370-1375 - [c13]Yue Zhao, Rui Zhao, Xiaoyang Wang, Qiang Ji:
Multilingual articulatory features augmentation learning. ICPR 2016: 2895-2899 - [c12]Xiaoyang Wang, Qiang Ji:
Object Recognition with Hidden Attributes. IJCAI 2016: 3498-3504 - 2015
- [c11]Xiaoyang Wang, Qiang Ji:
Video event recognition with deep hierarchical context model. CVPR 2015: 4418-4427 - [c10]Yue Zhao, Nan Zhou, Libing Zhang, Licheng Wu, Rui Zheng, Xiaoyang Wang, Qiang Ji:
Shared speech attribute augmentation for English-Tibetan cross-language phone recognition. ISSPIT 2015: 539-543 - 2014
- [j1]Xiaoyang Wang, Qiang Ji:
Context augmented Dynamic Bayesian Networks for event recognition. Pattern Recognit. Lett. 43: 62-70 (2014) - [c9]Xiaoyang Wang, Qiang Ji:
A Hierarchical Context Model for Event Recognition in Surveillance Video. CVPR 2014: 2561-2568 - [c8]Ziheng Wang, Xiaoyang Wang, Qiang Ji:
Learning with Hidden Information. ICPR 2014: 238-243 - [c7]Xiaoyang Wang, Qiang Ji:
Attribute Augmentation with Sparse Coding. ICPR 2014: 4352-4357 - 2013
- [c6]Xiaoyang Wang, Qiang Ji:
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects. ICCV 2013: 2120-2127 - 2012
- [c5]Xiaoyang Wang, Qiang Ji:
Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition. ICPR 2012: 3378-3381 - [c4]Xiaoyang Wang, Qiang Ji:
A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition. ICPR 2012: 3382-3385 - [c3]Xiaoyang Wang, Qiang Ji:
Learning dynamic Bayesian network discriminatively for human activity recognition. ICPR 2012: 3553-3556 - 2011
- [c2]Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai:
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. AVSS 2011: 527-528 - [c1]Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai:
A large-scale benchmark dataset for event recognition in surveillance video. CVPR 2011: 3153-3160
Coauthor Index
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