Zheng, Xiaoqing

18 publications

ICLR 2026 Biologically Plausible Learning via Bidirectional Spike-Based Distillation Yifei Wang, Zhangyanxun, Changze Lv, Yiyang Lu, Jingwen Xu, Xiaohua Wang, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng

ICLR 2026 RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data Zhengkang Guo, Wenhao Liu, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Yuanzhe Shen, Qi Qian, Muling Wu, Xiaohua Wang, Heda Wang, Yao Hu, Changze Lv, Xuanjing Huang, Xiaoqing Zheng

NeurIPS 2025 Chain-of-Model Learning for Language Model Xiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu

IJCAI 2025 Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng

ICML 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang

IJCAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng

NeurIPS 2025 Toward Relative Positional Encoding in Spiking Transformers Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

NeurIPS 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

ICML 2024 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

ICLR 2024 Unraveling the Enigma of Double Descent: An In-Depth Analysis Through the Lens of Learned Feature Space Yufei Gu, Xiaoqing Zheng, Tomaso Aste

ICLR 2023 Spiking Convolutional Neural Networks for Text Classification Changze Lv, Jianhan Xu, Xiaoqing Zheng

NeurIPS 2022 Regularized Molecular Conformation Fields Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou

AAAI 2018 Attention-Based Belief or Disbelief Feature Extraction for Dependency Parsing Haoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng

AAAI 2018 Geometric Relationship Between Word and Context Representations Jiangtao Feng, Xiaoqing Zheng

AAAI 2018 RNN-Based Sequence-Preserved Attention for Dependency Parsing Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng

AAAI 2017 Learning Context-Specific Word/Character Embeddings Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang

IJCAI 2016 Context-Specific and Multi-Prototype Character Representations Xiaoqing Zheng, Jiangtao Feng, Mengxiao Lin, Wenqiang Zhang

IJCAI 2015 Character-Based Parsing with Convolutional Neural Network Xiaoqing Zheng, Haoyuan Peng, Yi Chen, Pengjing Zhang, Wenqiang Zhang