Awesome Recommender Systems
📄
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
Haoyu Wang — most-cited papers & profile · Recommender Systems
← authors
·
overview
Haoyu Wang
40
papers ·
126
citations ·
0
h-index
Shanghai Jiao Tong University · Shanghai Ninth People's Hospital
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Prompt Injection attack against LLM-integrated Applications
2023 · 79 citations
Devil's Advocate: Anticipatory Reflection For LLM Agents
2024 · 11 citations
Struct-x: Enhancing Large Language Models Reasoning With Structured Data
2024 · 10 citations
Evaluating And Mitigating Linguistic Discrimination In Large Language Models
2024 · 6 citations
SecoustiCodec: Cross-Modal Aligned Streaming Single-Codecbook Speech Codec
2025 · 6 citations
REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds
2020 · 4 citations
Are Large Language Models Really Robust to Word-Level Perturbations?
2023 · 4 citations
CLAQ: Pushing The Limits Of Low-bit Post-training Quantization For Llms
2024 · 2 citations
Bridging Design and Development with Automated Declarative UI Code Generation
2024 · 2 citations
Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs
2024 · 1 citations
Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation
2024 · 1 citations
KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval
2026
Gated Coordination For Efficient Multi-agent Collaboration In Minecraft Game
2026
Domain-Specialized Tree of Thought through Plug-and-Play Predictors
2026
"Elementary, My Dear Watson." Detecting Malicious Skills via Neuro-Symbolic Reasoning across Heterogeneous Artifacts
2026
Topics
Evaluation
Threat Intelligence
Efficiency
Vulnerability Detection
Adversarial ML
Safety & Alignment
In-Context Learning
Training Techniques
Multi-Agent
LLM Security