Yao, Jun

9 publications

ICML 2025 FlatQuant: Flatness Matters for LLM Quantization Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao

IJCAI 2025 GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li

ECCVW 2024 ABAW7 Challenge: A Facial Affect Recognition Approach Based on Transformer Encoder and Multilayer Perceptron Xuxiong Liu, Kang Shen, Jun Yao, Boyan Wang, Yu Wang, Yujie Guan, Xin Liu, Gengchen Li, Liuwei An, Zishun Cui, Minrui Liu, Xiao Sun, Weijie Feng

IJCAI 2024 Sparse Multi-Relational Graph Convolutional Network for Multi-Type Object Trajectory Prediction Jianhui Zhang, Jun Yao, Liqi Yan, Yanhong Xu, Zheng Wang

ICLR 2023 ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang

TMLR 2023 Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao

ICCV 2023 When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang

NeurIPS 2022 Accelerating Sparse Convolution with Column Vector-Wise Sparsity Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao

AAAI 2021 Commission Fee Is Not Enough: A Hierarchical Reinforced Framework for Portfolio Management Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao