publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. NeurIPS
    BLADE: Scalable Bi-level Adaptive Data Selection for LLM Training
    Jiaxing Wang*, Deping Xiang*, Jin Xu, and 9 more authors
    In The Fortieth Annual Conference on Neural Information Processing Systems, 2026
    PDF
  2. NeurIPS
    The Hidden Power of Scaling Factor in LoRA Optimization
    Zicheng Zhang, Haoran Li, Jiaxing Wang, and 10 more authors
    In The Fortieth Annual Conference on Neural Information Processing Systems, 2026
    PDF
  3. ATC
    Rollout-Training Co-Design for Efficient LLM-Based Multi-Agent Reinforcement Learning
    Zhida Jiang, Zhaolong Xing, Jiawei Lu, and 13 more authors
    In 2026 USENIX Annual Technical Conference, 2026
    PDF
  4. EMNLP
    FlowTrain: Flow-Based Decoupled Training for Industrial-Grade Vision-Language Models
    Zhida Jiang, Zhaolong Xing, Yang Pei, and 14 more authors
    In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track, 2026
    PDF
  5. EMNLP
    MixEmb: Importance-Aware Quantization and Caching Co-Design for Industrial Decentralized Embedding Training
    Zhida Jiang, Zhen Chen, Zhaolong Xing, and 8 more authors
    In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track, 2026
    PDF

2025

  1. NeurIPS
    TANDEM: Bi-Level Data Mixture Optimization with Twin Networks
    Jiaxing Wang*, Deping Xiang*, Jin Xu, and 8 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    PDF
  2. NeurIPS
    The Primacy of Magnitude in Low-Rank Adaptation
    Zicheng Zhang, Haoran Li, Yifeng Zhang, and 5 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    PDF
  3. ACL
    Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
    Guoqiang Gong*, Jiaxing Wang*, Jin Xu, and 8 more authors
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
    PDF
  4. NAACL
    Logic-of-thought: Injecting logic into contexts for full reasoning in large language models
    Tongxuan Liu, Wenjiang Xu, Weizhe Huang, and 5 more authors
    In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025
    PDF
  5. TIP
    DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-Label Zero-Shot Learning
    Yiwen Liang, Hui Chen, Zijia Lin, and 7 more authors
    IEEE Transactions on Image Processing, 2025
    PDF

2024

  1. AAAI
    Patch-aware sample selection for efficient masked image modeling
    Zhengyang Zhuge, Jiaxing Wang, Yong Li, and 3 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
    PDF
  2. EMNLP
    Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
    Zhirui Kuai, Zuxu Chen, Huimu Wang, and 8 more authors
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track, 2024
    PDF

2023

  1. ICLR
    DynaMS: Dyanmic Margin Selection for Efficient Deep Learning.
    Jiaxing Wang, Yong Li, Jingwei Zhuo, and 7 more authors
    In ICLR, 2023
    PDF

2022

  1. AAAI
    Dpnas: Neural architecture search for deep learning with differential privacy
    Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, and 3 more authors
    In Proceedings of the AAAI conference on artificial intelligence, 2022
    PDF
  2. WWW
    Alleviating cold-start problem in CTR prediction with a variational embedding learning framework
    Xiaoxiao Xu, Chen Yang, Qian Yu, and 7 more authors
    In Proceedings of the ACM Web Conference 2022, 2022
    PDF

2021

  1. Architecture Aware Latency Constrained Sparse Neural Networks
    Tianli Zhao, Qinghao Hu, Xiangyu He, and 4 more authors
    arXiv preprint arXiv:2109.00170, 2021
  2. Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
    Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, and 4 more authors
    arXiv preprint arXiv:2110.08013, 2021
  3. TNNLS
    ECBC: Efficient convolution via blocked columnizing
    Tianli Zhao, Qinghao Hu, Xiangyu He, and 4 more authors
    IEEE Transactions on Neural Networks and Learning Systems, 2021
    PDF

2020

  1. NeurIPS
    Revisiting parameter sharing for automatic neural channel number search
    Jiaxing Wang*, Haoli Bai*, Jiaxiang Wu, and 5 more authors
    Advances in Neural Information Processing Systems, 2020
    PDF Code
  2. AAAI
    M-nas: Meta neural architecture search
    Jiaxing Wang, Jiaxiang Wu, Haoli Bai, and 1 more author
    In Proceedings of the AAAI conference on artificial intelligence, 2020
    PDF
  3. JSTSP
    Bayesian automatic model compression
    Jiaxing Wang, Haoli Bai, Jiaxiang Wu, and 1 more author
    IEEE Journal of Selected Topics in Signal Processing, 2020
    PDF

2019

  1. ICML
    RaFM: Rank-aware factorization machines
    Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, and 2 more authors
    In International Conference on Machine Learning, 2019
    PDF

  1. ECCV
    Multi-Granularity Pruning for Model Acceleration on Mobile Devices
    Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, and 3 more authors
    In Proceedings of the 2022 European Conference on Computer Vision
    PDF