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Feng Wang — most-cited papers & profile · Recommender Systems
← authors
·
overview
Feng Wang
45
papers ·
215
citations ·
30
h-index
Singapore University of Technology and Design · Shandong University · Tiangong University · Wuhan University · Jiangsu Yonggang Group (China) · Shenzhen Second People's Hospital · Arizona State University
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Most-cited papers
Kimi Linear: An Expressive, Efficient Attention Architecture
2025 · 64 citations
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
2025 · 26 citations
Decoding the Competing Effects of Dynamic Solvation Structures on Nuclear Magnetic Resonance Chemical Shifts of Battery Electrolytes via Machine Learning
2025 · 23 citations
SCALM: Towards Semantic Caching For Automated Chat Services With Large Language Models
2024 · 21 citations
Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control
2021 · 17 citations
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning
2020 · 15 citations
Single-image reflection removal via self-supervised diffusion models
2024 · 9 citations
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning
2020 · 8 citations
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
2024 · 6 citations
An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network
2020 · 4 citations
Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping
2019 · 3 citations
DePS: An improved deep learning model for de novo peptide sequencing
2022 · 3 citations
Learning to Prompt Your Domain for Vision-Language Models
2023 · 3 citations
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning
2022 · 2 citations
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
2023 · 2 citations
Topics
Evaluation
Multi-Agent
Efficiency
Model Architecture
Federated Learning
Training Techniques
cs.CL
cs.LG
RLHF & Alignment
3D Vision