Ding, Xin

9 publications

ICLR 2025 CBQ: Cross-Block Quantization for Large Language Models Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

ECML-PKDD 2025 Leveraging Homophily Under Local Differential Privacy for Effective Graph Neural Networks Yule Xie, Jiaxin Ding, Pengyu Xue, Xin Ding, Haochen Han, Luoyi Fu, Xinbing Wang

CVPR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler Xin Ding, Lei Yu, Xin Li, Zhijun Tu, Hanting Chen, Jie Hu, Zhibo Chen

ICCV 2025 StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue Through Event-Gated Cognition Xin Ding, Hao Wu, Yifan Yang, Shiqi Jiang, Qianxi Zhang, Donglin Bai, Zhibo Chen, Ting Cao

ICML 2025 TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration Cheng Xin, Fan Xu, Xin Ding, Jie Gao, Jiaxin Ding

ECCV 2024 PQ-SAM: Post-Training Quantization for Segment Anything Model Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong

AAAI 2024 Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks Xin Ding, Yongwei Wang, Zuheng Xu

ICLR 2021 CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation Xin Ding, Yongwei Wang, Zuheng Xu, William J Welch, Z. Jane Wang

ECCV 2020 Learn to Recover Visible Color for Video Surveillance in a Day Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki