Si Si
23 papers · 2014–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (50) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👑
Triple Crown
🤝
Dynamic Duo
(20)
🧭
Keyword Pioneer
💎
Century Club · Bronze
❓
The Questioner
🔥
Unstoppable · Silver
🗃️
Keyword Collector
(125)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(20)
Deep Learning
(9)
Application Areas
(9)
Core Methods
(9)
Optimization & Theory
(9)
Artificial Intelligence
(7)
Core AI
(7)
Learning Types
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Natural Language Processing
(4)
Techniques
(4)
Architectures
(3)
Resources & Methods
(3)
Computer Science
(2)
Keywords
low-rank approximation
(4)
kernel ridge regression
(3)
kernel approximation
(3)
kernel matrix
(2)
large language model
(2)
kernel support vector machine
(2)
matrix approximation
(2)
model compression
(2)
memory usage
(2)
kernel machine
(2)
nyström approximation
(2)
nystrom approximation
(2)
kernel methods
(2)
neural machine translation
(1)
in-context learning
(1)
transfer learning
(1)
data augmentation
(1)
machine translation
(1)
data poisoning
(1)
benchmark evaluation
(1)
Papers
Large Language Models are Interpretable Learners
ICLR 2025
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
ICLR 2025
Automatic Engineering of Long Prompts
ACL 2024
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
ICLR 2024
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
ICML 2023
Serving Graph Compression for Graph Neural Networks
ICLR 2023
DC-BENCH: Dataset Condensation Benchmark
NeurIPS 2022
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
NeurIPS 2021
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework
CVPR 2020
Multi-Stage Influence Function
NeurIPS 2020
Area Attention
ICML 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
NeurIPS 2019
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks
ICLR 2019
Robustness Verification of Tree-based Models
NeurIPS 2019
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs
CVPR 2019
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
NeurIPS 2018
Gradient Boosted Decision Trees for High Dimensional Sparse Output
ICML 2017
Memory Efficient Kernel Approximation
JMLR 2017
Computationally Efficient Nyström Approximation using Fast Transforms
ICML 2016
A Divide-and-Conquer Solver for Kernel Support Vector Machines
ICML 2014
Fast Prediction for Large-Scale Kernel Machines
NeurIPS 2014
Memory Efficient Kernel Approximation
ICML 2014
Multi-Scale Spectral Decomposition of Massive Graphs
NeurIPS 2014