Xiaoyang Wang

72 papers A* 15A 2B 8Journal 34Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Versatile Multimodal Agent for Multimedia Content Generation.
CoRR
Daoan Zhang, Wenlin Yao, Xiaoyang Wang, Yebowen Hu, Jiebo Luo, Dong Yu
2025 J jnl
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training.
CoRR
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
2025 A* conf
DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
ICLR
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu
2025 — conf
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles.
ACL (Findings)
Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu
2025 J jnl
OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas.
CoRR
Xiaoyang Wang, Hongming Zhang, Tao Ge, Wenhao Yu, Dian Yu, Dong Yu
2025 J jnl
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning.
CoRR
Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu
2025 J jnl
R-Zero: Self-Evolving Reasoning LLM from Zero Data.
CoRR
Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu
2025 A* conf
Router-Tuning: A Simple and Effective Approach for Dynamic Depth.
EMNLP
Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang, Dong Yu
2025 J jnl
Towards Improving Interpretability of Language Model Generation Through a Structured Knowledge Discovery Approach.
IEEE J. Sel. Top. Signal Process.
Shuqi Liu, Han Wu, Guanzhi Deng, Jianshu Chen, Xiaoyang Wang, Linqi Song
2025 J jnl
Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach.
CoRR
Shuqi Liu, Han Wu, Guanzhi Deng, Jianshu Chen, Xiaoyang Wang, Linqi Song
2024 J jnl
Can Large Language Models do Analytical Reasoning?
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
CoRR
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu
2024 J jnl
DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning.
CoRR
Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu
2024 — conf
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning.
NAACL-HLT
Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
2024 — conf
InFoBench: Evaluating Instruction Following Ability in Large Language Models.
ACL (Findings)
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024 J jnl
InFoBench: Evaluating Instruction Following Ability in Large Language Models.
CoRR
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024 — conf
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.
NAACL-HLT
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2024 — conf
Polarity Calibration for Opinion Summarization.
NAACL-HLT
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu
2024 J jnl
Polarity Calibration for Opinion Summarization.
CoRR
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu
2024 J jnl
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers.
CoRR
Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang, Ang Li, Dong Yu
2024 J jnl
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization.
CoRR
Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu
2024 J jnl
Scaling Synthetic Data Creation with 1,000,000,000 Personas.
CoRR
Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, Dong Yu
2024 — conf
Skills-in-Context: Unlocking Compositionality in Large Language Models.
EMNLP (Findings)
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2024 — conf
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.
ACL (1)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 A* conf
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.
EMNLP
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
2023 J jnl
Analyzing Influential Factors in Human Preference Judgments via GPT-4.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
2023 A* conf
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4.
EMNLP
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
2023 J jnl
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning.
CoRR
Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
2023 — conf
Generating User-Engaging News Headlines.
ACL (1)
Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu
2023 J jnl
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.
CoRR
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2023 A* conf
More Than Spoken Words: Nonverbal Message Extraction and Generation.
EMNLP
Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Haitao Mi, Dong Yu
2023 — conf
OASum: Large-Scale Open Domain Aspect-based Summarization.
ACL (Findings)
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
2023 J jnl
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.
CoRR
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2023 — conf
Unsupervised Multi-document Summarization with Holistic Inference.
IJCNLP (Findings)
Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
2023 J jnl
Unsupervised Multi-document Summarization with Holistic Inference.
CoRR
Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
2023 J jnl
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention.
CoRR
Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho, Xiaoman Pan, Dong Yu
2022 A conf
Meta-learning without data via Wasserstein distributionally-robust model fusion.
UAI
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
2022 J jnl
OASum: Large-Scale Open Domain Aspect-based Summarization.
CoRR
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
2022 A* conf
Salience Allocation as Guidance for Abstractive Summarization.
EMNLP
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
2022 J jnl
Salience Allocation as Guidance for Abstractive Summarization.
CoRR
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
2022 A* conf
Toward Unifying Text Segmentation and Long Document Summarization.
EMNLP
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
2022 J jnl
Toward Unifying Text Segmentation and Long Document Summarization.
CoRR
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
2022 — conf
Towards Abstractive Grounded Summarization of Podcast Transcripts.
ACL (1)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
2022 J jnl
Towards Abstractive Grounded Summarization of Podcast Transcripts.
CoRR
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
2022 A* conf
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination.
EMNLP
Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
2022 J jnl
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination.
CoRR
Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
2021 A* conf
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation.
AAAI
Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
2021 J jnl
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation.
CoRR
Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
2020 — conf
Automatic Summarization of Open-Domain Podcast Episodes.
TREC
Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu
2020 J jnl
Automatic Summarization of Open-Domain Podcast Episodes.
CoRR
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng
2020 J jnl
Requet: Real-Time QoE Metric Detection for Encrypted YouTube Traffic.
ACM Trans. Multim. Comput. Commun. Appl.
Craig Gutterman, Katherine Guo, Sarthak Arora, Trey Gilliland, Xiaoyang Wang, Les Wu, Ethan Katz-Bassett, Gil Zussman
2020 A* conf
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.
ACL
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
2020 J jnl
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.
CoRR
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
2019 A conf
Requet: real-time QoE detection for encrypted YouTube traffic.
MMSys
Craig Gutterman, Katherine Guo, Sarthak Arora, Xiaoyang Wang, Les Wu, Ethan Katz-Bassett, Gil Zussman
2017 J jnl
Hierarchical Context Modeling for Video Event Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaoyang Wang, Qiang Ji
2016 B conf
Multilingual articulatory features augmentation learning.
ICPR
Yue Zhao, Rui Zhao, Xiaoyang Wang, Qiang Ji
2016 A* conf
Object Recognition with Hidden Attributes.
IJCAI
Xiaoyang Wang, Qiang Ji
2016 B conf
Taxonomy augmented object recognition.
ICPR
Xiaoyang Wang, Yue Zhao, Qiang Ji
2015 — conf
Shared speech attribute augmentation for English-Tibetan cross-language phone recognition.
ISSPIT
Yue Zhao, Nan Zhou, Libing Zhang, Licheng Wu, Rui Zheng, Xiaoyang Wang, Qiang Ji
2015 A* conf
Video event recognition with deep hierarchical context model.
CVPR
Xiaoyang Wang, Qiang Ji
2014 A* conf
A Hierarchical Context Model for Event Recognition in Surveillance Video.
CVPR
Xiaoyang Wang, Qiang Ji
2014 B conf
Attribute Augmentation with Sparse Coding.
ICPR
Xiaoyang Wang, Qiang Ji
2014 J jnl
Context augmented Dynamic Bayesian Networks for event recognition.
Pattern Recognit. Lett.
Xiaoyang Wang, Qiang Ji
2014 B conf
Learning with Hidden Information.
ICPR
Ziheng Wang, Xiaoyang Wang, Qiang Ji
2013 A* conf
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects.
ICCV
Xiaoyang Wang, Qiang Ji
2012 B conf
A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition.
ICPR
Xiaoyang Wang, Qiang Ji
2012 B conf
Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition.
ICPR
Xiaoyang Wang, Qiang Ji
2012 B conf
Learning dynamic Bayesian network discriminatively for human activity recognition.
ICPR
Xiaoyang Wang, Qiang Ji
2011 A* conf
A large-scale benchmark dataset for event recognition in surveillance video.
CVPR
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
2011 B conf
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video.
AVSS
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