Awesome Computer Vision
📄
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
Fanghua Ye — most-cited papers & profile · Computer Vision
← authors
·
overview
Fanghua Ye
18
papers ·
14
citations ·
18
h-index
Tencent (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Uncomp: Can Matrix Entropy Uncover Sparsity? -- A Compressor Design From An Uncertainty-aware Perspective
2024 · 14 citations
Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents
2026
From LLMs to LRMs: Rethinking Pruning for Reasoning-Centric Models
2026
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
2025
Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare
2025
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
2025
Too Good to be Bad: On the Failure of LLMs to Role-Play Villains
2025
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
2025
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
2025
Auto-weighted Robust Federated Learning with Corrupted Data Sources
2021
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
2022
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
2023
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism
2024
Topics
cs.CL
cs.AI
Evaluation
cs.CY
cs.HC
In-Context Learning
Federated Learning
Privacy
Adversarial Attacks
Efficiency