Ji, Feng

13 publications

AAAI 2025 Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree Xiangxiang Gao, Weisheng Xie, Yiwei Xiang, Feng Ji

ICLR 2025 Rethinking Graph Neural Networks from a Geometric Perspective of Node Features Feng Ji, Yanan Zhao, Kai Zhao, Hanyang Meng, Jielong Yang, Wee Peng Tay

NeurIPS 2024 Distributed-Order Fractional Graph Operating Network Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay

ICML 2024 Graph Neural Networks with a Distribution of Parametrized Graphs See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay

TMLR 2024 Heterogeneous Graph Adaptive Flow Network Lu Yiqi, Feng Ji, Wee Peng Tay

TMLR 2024 Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee, Feng Ji, Wee Peng Tay

ICLR 2024 Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay

ICML 2023 Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay

IJCAI 2022 SGAT: Simplicial Graph Attention Network See Hian Lee, Feng Ji, Wee Peng Tay

IJCAI 2021 AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo

AAAI 2021 Predictive Adversarial Learning from Positive and Unlabeled Data Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan

AAAI 2021 Reinforced History Backtracking for Conversational Question Answering Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang

AAAI 2020 MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert Shuke Peng, Feng Ji, Zehao Lin, Shaobo Cui, Haiqing Chen, Yin Zhang