Awesome Cybersecurity
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Hongning Wang — most-cited papers & profile · Cybersecurity
← authors
·
overview
Hongning Wang
23
papers ·
266
citations ·
36
h-index
Sichuan University · Sichuan Center for Disease Control and Prevention
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
2018 · 237 citations
Comparative Explanations of Recommendations
2021 · 16 citations
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
2022 · 6 citations
Data-Efficient RLVR via Off-Policy Influence Guidance
2025 · 3 citations
Directional Multivariate Ranking
2020 · 2 citations
Rethinking Conversational Recommendations: Is Decision Tree All You Need?
2022 · 2 citations
GLM-5: from Vibe Coding to Agentic Engineering
2026
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
2025
The User Asks, Platforms Compete: How Agentic Recommendation Markets Take Shape
2026
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
2025
How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
2025
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
2025
Unbiased Graph Embedding with Biased Graph Observations
2021
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
2024
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
2024
Topics
Ranking & CTR
Software Engineering
Evaluation
Fine-Tuning
Code Models
Reinforcement Learning
Safety & Alignment
Training Techniques
Collaborative Filtering
Sequential & Session