Si Si - RankMe

67 papers A* 22A 1Misc 1Journal 35Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Active Contour Model for Image Segmentation Using a Probability Density Function Approach. IET Image Process. XinChao Meng, Si Si, Pei Zhang
2025	A*	`conf`	Large Language Models are Interpretable Learners. ICLR Ruochen Wang, Si Si, Felix X. Yu, Dorothea Wiesmann Rothuizen, Cho-Jui Hsieh, Inderjit S. Dhillon
2025	J	`jnl`	Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity. CoRR Guangze Zheng, Shijie Lin, Haobo Zuo, Si Si, Ming-Shan Wang, Changhong Fu, Jia Pan
2025	A*	`conf`	LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization. ICLR Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar
2024	—	`conf`	Automatic Engineering of Long Prompts. ACL (Findings) Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon
2024	J	`jnl`	Large Language Models are Interpretable Learners. CoRR Ruochen Wang, Si Si, Felix X. Yu, Dorothea Wiesmann, Cho-Jui Hsieh, Inderjit S. Dhillon
2024	J	`jnl`	LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization. CoRR Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar
2024	A*	`conf`	Two-stage LLM Fine-tuning with Less Specialization and More Generalization. ICLR Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
2023	J	`jnl`	Active contour model based on hybrid signed pressure force function. IET Image Process. XinChao Meng, Si Si
2023	J	`jnl`	Automatic Engineering of Long Prompts. CoRR Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon
2023	A*	`conf`	Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. ICML Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2023	A*	`conf`	Serving Graph Compression for Graph Neural Networks. ICLR Si Si, Felix X. Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar
2022	A*	`conf`	DC-BENCH: Dataset Condensation Benchmark. NeurIPS Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2022	J	`jnl`	DC-BENCH: Dataset Condensation Benchmark. CoRR Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2022	J	`jnl`	Preserving In-Context Learning ability in Large Language Model Fine-tuning. CoRR Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
2022	J	`jnl`	Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. CoRR Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2021	J	`jnl`	Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding. CoRR Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio
2021	A*	`conf`	Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding. NeurIPS Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio
2021	J	`jnl`	The neurobiological basis of divergent thinking: Insight from gene co-expression network-based analysis. NeuroImage Shun Zhang, Xiaolei Yang, Si Si, Jinghuan Zhang
2020	J	`jnl`	Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders. CoRR Yang Li, Julien Amelot, Xin Zhou, Samy Bengio, Si Si
2020	J	`jnl`	Genetic susceptibility to parenting style: NeuroImage Si Si, Yukang Su, Shun Zhang, Jinghuan Zhang
2020	A*	`conf`	How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. CVPR Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
2020	J	`jnl`	How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. CoRR Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh
2020	A*	`conf`	Multi-Stage Influence Function. NeurIPS Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
2020	J	`jnl`	Multi-Stage Influence Function. CoRR Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
2019	A*	`conf`	A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. NeurIPS Xuanqing Liu, Si Si, Jerry Zhu, Yang Li, Cho-Jui Hsieh
2019	J	`jnl`	A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. CoRR Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh
2019	A*	`conf`	Area Attention. ICML Yang Li, Lukasz Kaiser, Samy Bengio, Si Si
2019	A*	`conf`	Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. KDD Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
2019	J	`jnl`	Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. CoRR Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
2019	—	`conf`	Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. ICLR (Poster) Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
2019	J	`jnl`	Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise. CoRR Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
2019	A*	`conf`	Robustness Verification of Tree-based Models. NeurIPS Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
2019	J	`jnl`	Robustness Verification of Tree-based Models. CoRR Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
2019	A*	`conf`	You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. CVPR Zhourong Chen, Yang Li, Samy Bengio, Si Si
2018	J	`jnl`	Area Attention. CoRR Yang Li, Lukasz Kaiser, Samy Bengio, Si Si
2018	J	`jnl`	GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. CoRR Zhourong Chen, Yang Li, Samy Bengio, Si Si
2018	A*	`conf`	GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. NeurIPS Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
2018	J	`jnl`	GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. CoRR Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
2018	J	`jnl`	Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. CoRR Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
2018	J	`jnl`	Nonlinear Online Learning with Adaptive Nyström Approximation. CoRR Si Si, Sanjiv Kumar, Yang Li
2017	A*	`conf`	Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines. KDD Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2017	J	`jnl`	GPU-acceleration for Large-scale Tree Boosting. CoRR Huan Zhang, Si Si, Cho-Jui Hsieh
2017	A*	`conf`	Gradient Boosted Decision Trees for High Dimensional Sparse Output. ICML Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh
2017	J	`jnl`	Memory Efficient Kernel Approximation. J. Mach. Learn. Res. Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon
2016	J	`jnl`	Communication-Efficient Parallel Block Minimization for Kernel Machines. CoRR Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2016	A*	`conf`	Computationally Efficient Nyström Approximation using Fast Transforms. ICML Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon
2016	A*	`conf`	Goal-Directed Inductive Matrix Completion. KDD Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon
2016	J	`jnl`	Kernel Ridge Regression via Partitioning. CoRR Rashish Tandon, Si Si, Pradeep Ravikumar, Inderjit S. Dhillon
2014	A*	`conf`	A Divide-and-Conquer Solver for Kernel Support Vector Machines. ICML Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2014	—	`conf`	Beyond modeling private actions: predicting social shares. WWW (Companion Volume) Si Si, Atish Das Sarma, Elizabeth F. Churchill, Neel Sundaresan
2014	—	`conf`	Fast Prediction for Large-Scale Kernel Machines. NIPS Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2014	A*	`conf`	Memory Efficient Kernel Approximation. ICML Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon
2014	—	`conf`	Multi-Scale Spectral Decomposition of Massive Graphs. NIPS Si Si, Donghyuk Shin, Inderjit S. Dhillon, Beresford N. Parlett
2014	J	`jnl`	Parallel matrix factorization for recommender systems. Knowl. Inf. Syst. Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2014	—	`conf`	The "expression gap": do you like what you share? WWW (Companion Volume) Atish Das Sarma, Si Si, Elizabeth F. Churchill, Neel Sundaresan
2013	J	`jnl`	A Divide-and-Conquer Solver for Kernel Support Vector Machines. CoRR Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2012	J	`jnl`	Multi-Scale Link Prediction CoRR Donghyuk Shin, Si Si, Inderjit S. Dhillon
2012	A	`conf`	Multi-scale link prediction. CIKM Donghyuk Shin, Si Si, Inderjit S. Dhillon
2012	A*	`conf`	Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. ICDM Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2012	J	`jnl`	Social image annotation via cross-domain subspace learning. Multim. Tools Appl. Si Si, Dacheng Tao, Meng Wang, Kwok-Ping Chan
2011	J	`jnl`	Distribution Calibration in Riemannian Symmetric Space. IEEE Trans. Syst. Man Cybern. Part B Si Si, Wei Liu, Dacheng Tao, Kwok-Ping Chan
2010	J	`jnl`	Bregman Divergence-Based Regularization for Transfer Subspace Learning. IEEE Trans. Knowl. Data Eng. Si Si, Dacheng Tao, Bo Geng
2010	Misc	`conf`	Discriminative Hessian Eigenmaps for face recognition. ICASSP Si Si, Dacheng Tao, Kwok-Ping Chan
2010	J	`jnl`	Evolutionary Cross-Domain Discriminative Hessian Eigenmaps. IEEE Trans. Image Process. Si Si, Dacheng Tao, Kwok-Ping Chan
2009	—	`conf`	Cross-Domain Web Image Annotation. ICDM Workshops Si Si, Dacheng Tao, Kwok-Ping Chan
2009	—	`conf`	Transfer Discriminative Logmaps. PCM Si Si, Dacheng Tao, Kwok-Ping Chan