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Fanghua Ye — most-cited papers & profile · AI for Code
← authors
·
overview
Fanghua Ye
22
papers ·
23
citations ·
0
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
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
2025 · 1 citations
Synergizing Foundation Models and Federated Learning: A Survey
2024 · 1 citations
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning
2024 · 1 citations
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning
2024 · 1 citations
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding
2026
Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents
2026
Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents
2026
On-Policy Supervised Fine-Tuning for Efficient Reasoning
2026
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
2025
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
2025
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
2025
Too Good to be Bad: On the Failure of LLMs to Role-Play Villains
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
Topics
Federated Learning
Privacy
Efficiency
Evaluation
Training Techniques
cs.AI
cs.CL
Reinforcement Learning
Fine-Tuning
Agentic