Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. - Guangxiang Zhao; Jingjing Xu 001; Qi Zeng 001; Xuancheng Ren (CoRR, 2018)

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. - Guangxiang Zhao; Jingjing Xu 001; Qi Zeng 001; Xuancheng Ren; Xu Sun 001 (NAACL-HLT (1), 2019)

Understanding and Improving Layer Normalization. - Jingjing Xu 001; Xu Sun 001; Zhiyuan Zhang 001; Guangxiang Zhao; Junyang Lin (NeurIPS, 2019)

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. - Guangxiang Zhao; Xu Sun 001; Jingjing Xu 001; Zhiyuan Zhang 001; Liangchen Luo (CoRR, 2019)

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. - Guangxiang Zhao; Junyang Lin; Zhiyuan Zhang 001; Xuancheng Ren; Qi Su 001; Xu Sun 001 (CoRR, 2019)

Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning. - Fenglin Liu; Xuancheng Ren; Guangxiang Zhao; Xu Sun 001 (CoRR, 2020)

Learning Relation Alignment for Calibrated Cross-modal Retrieval. - Shuhuai Ren; Junyang Lin; Guangxiang Zhao; Rui Men; An Yang; Jingren Zhou 001; Xu Sun 001; Hongxia Yang (ACL/IJCNLP (1), 2021)

Topology-Imbalance Learning for Semi-Supervised Node Classification. - Deli Chen; Yankai Lin; Guangxiang Zhao; Xuancheng Ren; Peng Li 030; Jie Zhou 016; Xu Sun 001 (NeurIPS, 2021)

Well-classified Examples are Underestimated in Classification with Deep Neural Networks. - Guangxiang Zhao; Wenkai Yang; Xuancheng Ren; Lei Li 039; Xu Sun 001 (CoRR, 2021)

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. - Lei Li 039; Yankai Lin; Xuancheng Ren; Guangxiang Zhao; Peng Li 030; Jie Zhou 016; Xu Sun 001 (CoRR, 2021)

Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. - Guangxiang Zhao; Wenkai Yang; Xuancheng Ren; Lei Li 039; Yunfang Wu; Xu Sun 001 (AAAI, 2022)

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. - Lei Li 039; Yankai Lin; Xuancheng Ren; Guangxiang Zhao; Peng Li 030; Jie Zhou 016; Xu Sun 001 (EMNLP (Findings), 2022)

Rethinking the Openness of CLIP. - Shuhuai Ren; Lei Li 039; Xuancheng Ren; Guangxiang Zhao; Xu Sun 001 (CoRR, 2022)

Delving into the Openness of CLIP. - Shuhuai Ren; Lei Li; Xuancheng Ren; Guangxiang Zhao; Xu Sun 001 (ACL (Findings), 2023)

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. - Wenkai Yang; Yankai Lin; Guangxiang Zhao; Peng Li 030; Jie Zhou 016; Xu Sun 001 (Trans. Mach. Learn. Res., 2023)

LongAttn: Selecting Long-context Training Data via Token-level Attention. - Longyun Wu; Dawei Zhu; Guangxiang Zhao; Zhuocheng Yu; Junfeng Ran; Xiangyu Wong; Lin Sun; Sujian Li (ACL (Findings), 2025)

Rethinking Natural Language Generation with Layer-Wise Multi-View Decoding. - Fenglin Liu; Xuancheng Ren; Guangxiang Zhao; Chenyu You; Sherry Ma; Xian Wu 001; Wei Fan 001; Xu Sun 001 (ACM Trans. Knowl. Discov. Data, 2025)

Stress Testing Generalization: How Minor Modifications Undermine Large Language Model Performance. - Guangxiang Zhao; Saier Hu; Xiaoqi Jian; Jinzhu Wu; Yuhan Wu 001; Change Jia; Lin Sun 010; Xiangzheng Zhang (CoRR, 2025)

LongAttn: Selecting Long-context Training Data via Token-level Attention. - Longyun Wu; Dawei Zhu; Guangxiang Zhao; Zhuocheng Yu; Junfeng Ran; Xiangyu Wong; Lin Sun 010; Sujian Li (CoRR, 2025)

Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision. - Dawei Zhu; Xiyu Wei; Guangxiang Zhao; Wenhao Wu; Haosheng Zou; Junfeng Ran; Xun Wang; Lin Sun 010; Xiangzheng Zhang; Sujian Li (CoRR, 2025)

TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation. - Lin Sun 010; Guangxiang Zhao; Xiaoqi Jian; Yuhan Wu 001; Weihong Lin; Yongfu Zhu 001; Change Jia; Linglin Zhang; Jinzhu Wu; Junfeng Ran; Saier Hu; Zihan Jiang; et al. (CoRR, 2025)

Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design. - Lin Sun 010; Weihong Lin; Jinzhu Wu; Yongfu Zhu 001; Xiaoqi Jian; Guangxiang Zhao; Change Jia; Linglin Zhang; Saier Hu; Yuhan Wu 001; Xiangzheng Zhang (CoRR, 2025)