Si Si
23 papers · 2014–2025 · 6 conferences · across top CS/AI conferences
Achievements
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Cross-Pollinator
(10)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(43)
π
Triple Crown
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Keyword Champion
(2)
π€
Dynamic Duo
(20)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(99)
π
Century Club
(23)
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Trend Setter
π₯
Unstoppable
(10)
β
The Questioner
Conferences
NIPS (8)
ICML (6)
ICLR (5)
CVPR (2)
ACL (1)
JMLR (1)
Top co-authors
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