Si, Si

22 publications

ICLR 2025 Large Language Models Are Interpretable Learners Ruochen Wang, Si Si, Felix Yu, Dorothea Wiesmann Rothuizen, Cho-Jui Hsieh, Inderjit S Dhillon

NeurIPS 2025 Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity Guangze Zheng, Shijie Lin, Haobo Zuo, Si Si, Ming-Shan Wang, Changhong Fu, Jia Pan

ICLR 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization Jui-Nan Yen, Si Si, Zhao Meng, Felix Yu, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh, Sanjiv Kumar

ICLR 2024 Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar

ICML 2023 Scaling up Dataset Distillation to ImageNet-1k with Constant Memory Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh

ICLR 2023 Serving Graph Compression for Graph Neural Networks Si Si, Felix Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar

NeurIPSW 2023 Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar

NeurIPS 2022 DC-BENCH: Dataset Condensation Benchmark Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh

NeurIPS 2021 Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio

NeurIPS 2020 Multi-Stage Influence Function Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane Boning, Cho-Jui Hsieh

NeurIPS 2019 A Unified Framework for Data Poisoning Attack to Graph-Based Semi-Supervised Learning Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh

ICML 2019 Area Attention Yang Li, Lukasz Kaiser, Samy Bengio, Si Si

ICLR 2019 Learning to Screen for Fast SoftMax Inference on Large Vocabulary Neural Networks Patrick Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh

NeurIPS 2019 Robustness Verification of Tree-Based Models Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane Boning, Cho-Jui Hsieh

NeurIPS 2018 GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking Patrick Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh

ICML 2017 Gradient Boosted Decision Trees for High Dimensional Sparse Output Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh

JMLR 2017 Memory Efficient Kernel Approximation Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon

ICML 2016 Computationally Efficient Nyström Approximation Using Fast Transforms Si Si, Cho-Jui Hsieh, Inderjit Dhillon

ICML 2014 A Divide-and-Conquer Solver for Kernel Support Vector Machines Cho-Jui Hsieh, Si Si, Inderjit Dhillon

NeurIPS 2014 Fast Prediction for Large-Scale Kernel Machines Cho-Jui Hsieh, Si Si, Inderjit S Dhillon

ICML 2014 Memory Efficient Kernel Approximation Si Si, Cho-Jui Hsieh, Inderjit Dhillon

NeurIPS 2014 Multi-Scale Spectral Decomposition of Massive Graphs Si Si, Donghyuk Shin, Inderjit S Dhillon, Beresford N Parlett