Liang, Yu

11 publications

ICML 2025 BSO: Binary Spiking Online Optimization Algorithm Yu Liang, Yu Yang, Wenjie Wei, Ammar Belatreche, Shuai Wang, Malu Zhang, Yang Yang

IJCAI 2025 Binary Event-Driven Spiking Transformer Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li

ICLR 2025 QP-SNN: Quantized and Pruned Spiking Neural Networks Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang

ICCV 2025 SDMatte: Grafting Diffusion Models for Interactive Matting Longfei Huang, Yu Liang, Hao Zhang, Jinwei Chen, Wei Dong, Lunde Chen, Wanyu Liu, Bo Li, Peng-Tao Jiang

ICLR 2025 Spiking Vision Transformer with Saccadic Attention Shuai Wang, Malu Zhang, Dehao Zhang, Ammar Belatreche, Yichen Xiao, Yu Liang, Yimeng Shan, Qian Sun, Enqi Zhang, Yang Yang

AAAI 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism Yu Liang, Wenjie Wei, Ammar Belatreche, Honglin Cao, Zijian Zhou, Shuai Wang, Malu Zhang, Yang Yang

NeurIPS 2024 Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou

IJCAI 2024 Vision-Fused Attack: Advancing Aggressive and Stealthy Adversarial Text Against Neural Machine Translation Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu

AAAI 2023 CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning Tianhao Peng, Yu Liang, Wenjun Wu, Jian Ren, Zhao Pengrui, Yanjun Pu

NeurIPS 2023 Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval Yu Liang, Shiliang Zhang, Li Ken Li, Xiaoyu Wang

IJCAI 2020 Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang