Liu, Jiahao

14 publications

ICLR 2026 RepSpec: Structural Re-Parameterized Draft Model Training for Speculative Decoding Feiye Huo, Jianchao Tan, Jiahao Liu, Zixu Jiang, Jiacheng Li, Jingang Wang, Xunliang Cai, Shengli Sun

ACML 2025 Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs Jiahao Liu, Zijian Wang, Zhao Kuo, Dong Hu

IJCAI 2025 Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU Shuxi Guo, Zikang Xu, Jiahao Liu, Jinyi Zhang, Qi Qi, Haifeng Sun, Jun Huang, Jianxin Liao, Jingyu Wang

AAAI 2025 LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu, Tu Ao

NeurIPS 2025 Probabilistic Token Alignment for Large Language Model Fusion Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu

ICML 2024 FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng

AAAI 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li

NeurIPS 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai

NeurIPS 2024 Unleashing Region Understanding in Intermediate Layers for MLLM-Based Referring Expression Generation Yaoyuan Liang, Zhuojun Cai, Jian Xu, Guanbo Huang, Yiran Wang, Xiao Liang, Jiahao Liu, Ziran Li, Jingang Wang, Shao-Lun Huang

AAAI 2024 What Makes Quantization for Large Language Model Hard? an Empirical Study from the Lens of Perturbation Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

IJCAI 2023 FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

NeurIPS 2022 Parameter-Free Dynamic Graph Embedding for Link Prediction Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

IJCAI 2019 A Practical Semi-Parametric Contextual Bandit Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin

IJCAI 2018 Topic-to-Essay Generation with Neural Networks Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu