Faster Sampling Algorithms for Polytopes with Small Treewidth. - Yekun Ke; Xiaoyu Li 001; Zhao Song 002; Tianyi Zhou 011 (IEEE Big Data, 2024)

Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study. - Yekun Ke; Xiaoyu Li 001; Yingyu Liang; Zhenmei Shi; Zhao Song 002 (CoRR, 2024)

Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond. - Yekun Ke; Yingyu Liang; Zhenmei Shi; Zhao Song 002; Chiwun Yang (CPAL, 2025)

Transformer-based statement level vulnerability detection by cross-modal fine-grained features capture. - Wenxin Tao; Xiaohong Su; Yekun Ke; Yi Han; Yu Zheng; Hongwei Wei (Knowl. Based Syst., 2025)

Circuit Complexity Bounds for Visual Autoregressive Model. - Yekun Ke; Xiaoyu Li 001; Yingyu Liang; Zhenmei Shi; Zhao Song 002 (CoRR, 2025)

On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis. - Yekun Ke; Xiaoyu Li 001; Yingyu Liang; Zhizhou Sha; Zhenmei Shi; Zhao Song 002 (CoRR, 2025)

DPBloomfilter: Securing Bloom Filters with Differential Privacy. - Yekun Ke; Yingyu Liang; Zhizhou Sha; Zhenmei Shi; Zhao Song 002 (CoRR, 2025)

On Computational Limits of FlowAR Models: Expressivity and Efficiency. - Chengyue Gong; Yekun Ke; Xiaoyu Li 001; Yingyu Liang; Zhizhou Sha; Zhenmei Shi; Zhao Song 002 (CoRR, 2025)

Exploring the Limits of KV Cache Compression in Visual Autoregressive Transformers. - Bo Chen 029; Xiaoyu Li 001; Yekun Ke; Yingyu Liang; Zhenmei Shi; Zhao Song 002 (CoRR, 2025)