Si Si

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 44

Top Topics

Spectral Decomposition

Kernel Machines

Top Venues

Publications

Ruochen Wang, Si Si, Felix Yu, Dorothea Wiesmann, Cho-Jui Hsieh, Inderjit S. Dhillon
Large Language Models are Interpretable Learners. CoRR (2024)
Cho-Jui Hsieh, Si Si, Felix Yu, Inderjit S. Dhillon
Automatic Engineering of Long Prompts. ACL (Findings) (2024)
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
Two-stage LLM Fine-tuning with Less Specialization and More Generalization. ICLR (2024)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. ICML (2023)
Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon
Automatic Engineering of Long Prompts. CoRR (2023)
XinChao Meng, Si Si
Active contour model based on hybrid signed pressure force function. IET Image Process. 17 (13) (2023)
Si Si, Felix X. Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar
Serving Graph Compression for Graph Neural Networks. ICLR (2023)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
DC-BENCH: Dataset Condensation Benchmark. NeurIPS (2022)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. CoRR (2022)
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
Preserving In-Context Learning ability in Large Language Model Fine-tuning. CoRR (2022)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
DC-BENCH: Dataset Condensation Benchmark. CoRR (2022)
Shun Zhang, Xiaolei Yang, Si Si, Jinghuan Zhang
The neurobiological basis of divergent thinking: Insight from gene co-expression network-based analysis. NeuroImage 245 (2021)
Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding. CoRR (2021)
Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding. NeurIPS (2021)
Yang Li, Julien Amelot, Xin Zhou, Samy Bengio, Si Si
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders. CoRR (2020)
Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
Multi-Stage Influence Function. NeurIPS (2020)
Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. CoRR (2020)
Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
Multi-Stage Influence Function. CoRR (2020)
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. CVPR (2020)
Si Si, Yukang Su, Shun Zhang, Jinghuan Zhang
influence creativity. NeuroImage 213 (2020)
Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. CoRR (2019)
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise. CoRR (2019)
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
Robustness Verification of Tree-based Models. NeurIPS (2019)
Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. CoRR (2019)
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. ICLR (Poster) (2019)
Zhourong Chen, Yang Li, Samy Bengio, Si Si
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. CVPR (2019)
Yang Li, Lukasz Kaiser, Samy Bengio, Si Si
Area Attention. ICML (2019)
Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. KDD (2019)
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
Robustness Verification of Tree-based Models. CoRR (2019)
Xuanqing Liu, Si Si, Jerry Zhu, Yang Li, Cho-Jui Hsieh
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. NeurIPS (2019)
Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. CoRR (2018)
Yang Li, Lukasz Kaiser, Samy Bengio, Si Si
Area Attention. CoRR (2018)
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. CoRR (2018)
Si Si, Sanjiv Kumar, Yang Li
Nonlinear Online Learning with Adaptive Nyström Approximation. CoRR (2018)
Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. NeurIPS (2018)
Zhourong Chen, Yang Li, Samy Bengio, Si Si
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. CoRR (2018)
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines. KDD (2017)
Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon
Memory Efficient Kernel Approximation. J. Mach. Learn. Res. 18 (2017)
Huan Zhang, Si Si, Cho-Jui Hsieh
GPU-acceleration for Large-scale Tree Boosting. CoRR (2017)
Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh
Gradient Boosted Decision Trees for High Dimensional Sparse Output. ICML (2017)
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Communication-Efficient Parallel Block Minimization for Kernel Machines. CoRR (2016)
Rashish Tandon, Si Si, Pradeep Ravikumar, Inderjit S. Dhillon
Kernel Ridge Regression via Partitioning. CoRR (2016)
Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon
Goal-Directed Inductive Matrix Completion. KDD (2016)
Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon
Computationally Efficient Nyström Approximation using Fast Transforms. ICML (2016)
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Parallel matrix factorization for recommender systems. Knowl. Inf. Syst. 41 (3) (2014)
Atish Das Sarma, Si Si, Elizabeth F. Churchill, Neel Sundaresan
The "expression gap": do you like what you share? WWW (Companion Volume) (2014)
Si Si, Atish Das Sarma, Elizabeth F. Churchill, Neel Sundaresan
Beyond modeling private actions: predicting social shares. WWW (Companion Volume) (2014)
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Fast Prediction for Large-Scale Kernel Machines. NIPS (2014)
Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon
Memory Efficient Kernel Approximation. ICML (2014)
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
A Divide-and-Conquer Solver for Kernel Support Vector Machines. ICML (2014)
Si Si, Donghyuk Shin, Inderjit S. Dhillon, Beresford N. Parlett
Multi-Scale Spectral Decomposition of Massive Graphs. NIPS (2014)
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
A Divide-and-Conquer Solver for Kernel Support Vector Machines. CoRR (2013)
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. ICDM (2012)
Donghyuk Shin, Si Si, Inderjit S. Dhillon
Multi-scale link prediction. CIKM (2012)
Si Si, Dacheng Tao, Meng Wang, Kwok-Ping Chan
Social image annotation via cross-domain subspace learning. Multim. Tools Appl. 56 (1) (2012)
Donghyuk Shin, Si Si, Inderjit S. Dhillon
Multi-Scale Link Prediction CoRR (2012)
Si Si, Wei Liu, Dacheng Tao, Kwok-Ping Chan
Distribution Calibration in Riemannian Symmetric Space. IEEE Trans. Syst. Man Cybern. Part B 41 (4) (2011)
Si Si, Dacheng Tao, Bo Geng
Bregman Divergence-Based Regularization for Transfer Subspace Learning. IEEE Trans. Knowl. Data Eng. 22 (7) (2010)
Si Si, Dacheng Tao, Kwok-Ping Chan
Discriminative Hessian Eigenmaps for face recognition. ICASSP (2010)
Si Si, Dacheng Tao, Kwok-Ping Chan
Evolutionary Cross-Domain Discriminative Hessian Eigenmaps. IEEE Trans. Image Process. 19 (4) (2010)
Si Si, Dacheng Tao, Kwok-Ping Chan
Transfer Discriminative Logmaps. PCM (2009)
Si Si, Dacheng Tao, Kwok-Ping Chan
Cross-Domain Web Image Annotation. ICDM Workshops (2009)