影响力指数

66.04/100

前 3.4%

全站排名 #2,176

发表论文13 篇

平均评分5.4

年均产出4.3 篇/年

Bing Su

Associate Professor@Renmin University of China·中国·OpenReview

研究方向

self-supervised learning · dimensionality reduction · metric learning · sequence modeling · temporal alignment · domain adaptation · action recognition

6.5

Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction

ICLR 2026Oral

通讯

6.5

DrugTrail: Interpretable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization

ICLR 2026Poster

4.5

Mitigating Reward Hacking in Multi-Reward Optimization for Text-to-Image Generation

ICLR 2026Rejected

3.5

ED-BFN: Electron Density Point Clouds Enable High-Fidelity 3D Molecular Generation via GeoBFN

ICLR 2026Rejected

3.3

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training

ICLR 2025Poster

通讯

6.3

Rethinking the Bias of Foundation Model under Long-tailed Distribution

ICLR 2025Rejected

通讯

5.5

SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model

ICML 2025Poster

三作

5.5

Large Language-Geometry Model: When LLM meets Equivariance

ICML 2025Poster

三作

4.2

Integrating the Expression and Discrimination via Bilateral Compensation for Molecular Property Prediction

合作者 (20)

Bing Su

Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction

DrugTrail: Interpretable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization

Mitigating Reward Hacking in Multi-Reward Optimization for Text-to-Image Generation

ED-BFN: Electron Density Point Clouds Enable High-Fidelity 3D Molecular Generation via GeoBFN

EDMolGPT: A Decoder-Only Framework for 3D Drug Design via Electron Density

Regulatory DNA Sequence Design with Reinforcement Learning

Rethinking the Bias of Foundation Model under Long-tailed Distribution

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training

Rethinking the Bias of Foundation Model under Long-tailed Distribution

SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model

Large Language-Geometry Model: When LLM meets Equivariance

Integrating the Expression and Discrimination via Bilateral Compensation for Molecular Property Prediction