影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
56.62/100
前 5.8%
全站排名 #3,766
发表论文13 篇
平均评分
年均产出4.3 篇/年
Chen Liu
研究方向
Model Compression · Adversarial Robustness · Machine Learning · Optimisation · Deep Neural Network · Neural Network Verification
10
AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining
ICLR 2026Poster
通讯22
Gradient Inversion Transcript: Leveraging Robust Generated Priors to Reconstruct Training Data from Gradient Leakage
ICLR 2026Rejected
二作11
MIABench: Full-Pipeline Evaluation of Membership Inference Attacks
ICLR 2026Rejected
通讯8
Evolutionary Alpha Factor Discovery with Large Language Models for Sparse Portfolio Optimization
ICLR 2026Rejected
三作22
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
NeurIPS 2025Poster
三作26
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
NeurIPS 2025Poster
三作22
Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models
NeurIPS 2025Poster
二作24
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
ICLR 2025Rejected
三作28
Differentially Private Network Training under Hidden State Assumption
ICLR 2025Rejected
二作20
Gradient Inversion Transcript: A Generative Model to Reconstruct Training Data by Gradient Leakage
ICLR 2025Rejected
二作