Cross-Domain Web Image Annotation. - Si Si; Dacheng Tao; Kwok-Ping Chan (ICDM Workshops, 2009)

Transfer Discriminative Logmaps. - Si Si; Dacheng Tao; Kwok-Ping Chan (PCM, 2009)

Discriminative Hessian Eigenmaps for face recognition. - Si Si; Dacheng Tao; Kwok-Ping Chan (ICASSP, 2010)

Evolutionary Cross-Domain Discriminative Hessian Eigenmaps. - Si Si; Dacheng Tao; Kwok-Ping Chan (IEEE Trans. Image Process., 2010)

Bregman Divergence-Based Regularization for Transfer Subspace Learning. - Si Si; Dacheng Tao; Bo Geng (IEEE Trans. Knowl. Data Eng., 2010)

Distribution Calibration in Riemannian Symmetric Space. - Si Si; Wei Liu 005; Dacheng Tao; Kwok-Ping Chan (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Multi-scale link prediction. - Donghyuk Shin; Si Si; Inderjit S. Dhillon (CIKM, 2012)

Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. - Hsiang-Fu Yu; Cho-Jui Hsieh; Si Si; Inderjit S. Dhillon (ICDM, 2012)

Social image annotation via cross-domain subspace learning. - Si Si; Dacheng Tao; Meng Wang 001; Kwok-Ping Chan (Multim. Tools Appl., 2012)

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

Memory Efficient Kernel Approximation. - Si Si; Cho-Jui Hsieh; Inderjit S. Dhillon (ICML, 2014)

Fast Prediction for Large-Scale Kernel Machines. - Cho-Jui Hsieh; Si Si; Inderjit S. Dhillon (NIPS, 2014)

Multi-Scale Spectral Decomposition of Massive Graphs. - Si Si; Donghyuk Shin; Inderjit S. Dhillon; Beresford N. Parlett (NIPS, 2014)

The "expression gap": do you like what you share? - Atish Das Sarma; Si Si; Elizabeth F. Churchill; Neel Sundaresan (WWW (Companion Volume), 2014)

Beyond modeling private actions: predicting social shares. - Si Si; Atish Das Sarma; Elizabeth F. Churchill; Neel Sundaresan (WWW (Companion Volume), 2014)

Parallel matrix factorization for recommender systems. - Hsiang-Fu Yu; Cho-Jui Hsieh; Si Si; Inderjit S. Dhillon (Knowl. Inf. Syst., 2014)

Computationally Efficient Nyström Approximation using Fast Transforms. - Si Si; Cho-Jui Hsieh; Inderjit S. Dhillon (ICML, 2016)

Goal-Directed Inductive Matrix Completion. - Si Si; Kai-Yang Chiang; Cho-Jui Hsieh; Nikhil Rao 001; Inderjit S. Dhillon (KDD, 2016)

Communication-Efficient Parallel Block Minimization for Kernel Machines. - Cho-Jui Hsieh; Si Si; Inderjit S. Dhillon (CoRR, 2016)

Kernel Ridge Regression via Partitioning. - Rashish Tandon; Si Si; Pradeep Ravikumar; Inderjit S. Dhillon (CoRR, 2016)

Gradient Boosted Decision Trees for High Dimensional Sparse Output. - Si Si; Huan Zhang 001; S. Sathiya Keerthi; Dhruv Mahajan 001; Inderjit S. Dhillon; Cho-Jui Hsieh (ICML, 2017)

Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines. - Cho-Jui Hsieh; Si Si; Inderjit S. Dhillon (KDD, 2017)

GPU-acceleration for Large-scale Tree Boosting. - Huan Zhang 001; Si Si; Cho-Jui Hsieh (CoRR, 2017)

GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. - Patrick H. Chen; Si Si; Yang Li 058; Ciprian Chelba; Cho-Jui Hsieh (NeurIPS, 2018)

Nonlinear Online Learning with Adaptive Nyström Approximation. - Si Si; Sanjiv Kumar; Yang Li 058 (CoRR, 2018)

GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. - Zhourong Chen; Yang Li 058; Samy Bengio; Si Si (CoRR, 2018)

You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. - Zhourong Chen; Yang Li 058; Samy Bengio; Si Si (CVPR, 2019)

Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. - Patrick H. Chen; Si Si; Sanjiv Kumar; Yang Li 058; Cho-Jui Hsieh (ICLR (Poster), 2019)

Area Attention. - Yang Li 058; Lukasz Kaiser; Samy Bengio; Si Si (ICML, 2019)

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. - Wei-Lin Chiang; Xuanqing Liu; Si Si; Yang Li 058; Samy Bengio; Cho-Jui Hsieh (KDD, 2019)

Robustness Verification of Tree-based Models. - Hongge Chen; Huan Zhang 001; Si Si; Yang Li 058; Duane S. Boning; Cho-Jui Hsieh (NeurIPS, 2019)

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. - Xuanqing Liu; Si Si; Jerry Zhu; Yang Li 058; Cho-Jui Hsieh (NeurIPS, 2019)

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise. - Xuanqing Liu; Tesi Xiao; Si Si; Qin Cao; Sanjiv Kumar; Cho-Jui Hsieh (CoRR, 2019)

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. - Xuanqing Liu; Si Si; Xiaojin Zhu 001; Yang Li 058; Cho-Jui Hsieh (CoRR, 2019)

How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. - Xuanqing Liu; Tesi Xiao; Si Si; Qin Cao; Sanjiv Kumar; Cho-Jui Hsieh (CVPR, 2020)

Multi-Stage Influence Function. - Hongge Chen; Si Si; Yang Li 058; Ciprian Chelba; Sanjiv Kumar; Duane S. Boning; Cho-Jui Hsieh (NeurIPS, 2020)

Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders. - Yang Li 058; Julien Amelot; Xin Zhou 018; Samy Bengio; Si Si (CoRR, 2020)

How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. - Yuanhao Xiong; Xuanqing Liu; Li-Cheng Lan; Yang You 001; Si Si; Cho-Jui Hsieh (CoRR, 2020)

Genetic susceptibility to parenting style: DRD2 and COMT influence creativity. - Si Si; Yukang Su; Shun Zhang; Jinghuan Zhang (NeuroImage, 2020)

Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding. - Yang Li 058; Si Si; Gang Li 021; Cho-Jui Hsieh; Samy Bengio (NeurIPS, 2021)

The neurobiological basis of divergent thinking: Insight from gene co-expression network-based analysis. - Shun Zhang; Xiaolei Yang; Si Si; Jinghuan Zhang (NeuroImage, 2021)

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

Preserving In-Context Learning ability in Large Language Model Fine-tuning. - Yihan Wang; Si Si; Daliang Li; Michal Lukasik; Felix X. Yu; Cho-Jui Hsieh; Inderjit S. Dhillon; Sanjiv Kumar (CoRR, 2022)

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

Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. - Justin Cui; Ruochen Wang; Si Si; Cho-Jui Hsieh (ICML, 2023)

Active contour model based on hybrid signed pressure force function. - XinChao Meng; Si Si (IET Image Process., 2023)

Automatic Engineering of Long Prompts. - Cho-Jui Hsieh; Si Si; Felix X. Yu; Inderjit S. Dhillon (ACL (Findings), 2024)

Two-stage LLM Fine-tuning with Less Specialization and More Generalization. - Yihan Wang; Si Si; Daliang Li; Michal Lukasik; Felix X. Yu; Cho-Jui Hsieh; Inderjit S. Dhillon; Sanjiv Kumar (ICLR, 2024)

Large Language Models are Interpretable Learners. - Ruochen Wang; Si Si; Felix X. Yu; Dorothea Wiesmann Rothuizen; Cho-Jui Hsieh; Inderjit S. Dhillon (ICLR, 2025)

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

Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity. - Guangze Zheng 001; Shijie Lin; Haobo Zuo; Si Si; Ming-Shan Wang; Changhong Fu 001; Jia Pan 001 (CoRR, 2025)