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Si Si

23 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (43) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (20) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (99) πŸ’Ž Century Club (23) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

NIPS (8) ICML (6) ICLR (5) CVPR (2) ACL (1) JMLR (1)

Top co-authors

Cho-jui Hsieh (20) Yang Li (8) Sanjiv Kumar (6) Felix Yu (5) Inderjit S Dhillon (5) Inderjit Dhillon (4) Ruochen Wang (3) Samy Bengio (3) Huan Zhang (2) Ciprian Chelba (2)

Keywords

low-rank approximation (4) kernel ridge regression (3) kernel approximation (2) kernel machine (2) model compression (2) matrix approximation (2) kernel matrix (2) nystrΓΆm approximation (2) memory usage (2) kernel methods (2) matrix factorization (1) text generation (1) image captioning (1) multi-label classification (1) neural machine translation (1) data poisoning (1) benchmark evaluation (1) data augmentation (1) knowledge transfer (1) adversarial robustness (1)

Papers

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025
Large Language Models are Interpretable Learners ICLR 2025
Automatic Engineering of Long Prompts ACL 2024
Two-stage LLM Fine-tuning with Less Specialization and More Generalization ICLR 2024
Serving Graph Compression for Graph Neural Networks ICLR 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory ICML 2023
DC-BENCH: Dataset Condensation Benchmark NIPS 2022
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding NIPS 2021
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework CVPR 2020
Multi-Stage Influence Function NIPS 2020
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NIPS 2019
Area Attention ICML 2019
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs CVPR 2019
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks ICLR 2019
Robustness Verification of Tree-based Models NIPS 2019
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NIPS 2018
Memory Efficient Kernel Approximation JMLR 2017
Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017
Computationally Efficient NystrΓΆm Approximation using Fast Transforms ICML 2016
Multi-Scale Spectral Decomposition of Massive Graphs NIPS 2014
A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014
Fast Prediction for Large-Scale Kernel Machines NIPS 2014
Memory Efficient Kernel Approximation ICML 2014