Xiaoqiang Wang

According to our database, Xiaoqiang Wang authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts.

Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu

CoRR, May, 2025

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu

CoRR, April, 2025

R³Mem: Bridging Memory Retention and Retrieval via Reversible Compression.

Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu

CoRR, February, 2025

OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning.

Xiaoqiang Wang, Bang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

R³Mem: Bridging Memory Retention and Retrieval via Reversible Compression.

Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.

Xiaoqiang Wang, Bang Liu, Lingfei Wu

CoRR, 2024

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.

Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu

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

2023

S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection.

Lei Zhu, Xiaoqiang Wang, Ping Li, Xin Yang, Qing Zhang, Weiming Wang, Carola-Bibiane Schönlieb, C. L. Philip Chen

IEEE Trans. Multim., 2023

Reasoning Makes Good Annotators : An Automatic Task-specific Rules Distilling Framework for Low-resource Relation Extraction.

Yilin Lu, Juncheng Li, Xiaoqiang Wang, Haochen Shi, Tao Chen, Siliang Tang

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

SkillQG: Learning to Generate Question for Reading Comprehension Assessment.

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

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

KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction.

Yilin Lu, Xiaoqiang Wang, Haofeng Yang, Siliang Tang

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

2022

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images.

Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang

IEEE Trans. Image Process., 2022

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance.

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

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

Feeding What You Need by Understanding What You Learned.

Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu

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