Peng Fang — accepted AI-conference papers

2026

Harmonizing Federated Heterogeneous Optimization via Adaptive Objective Rectification

Jianrong Lu, Bangwei Li, Zhuoya Gu, Peng Fang, Ziming Zhao, Jianhai Chen

IJCAI 2026

Federated optimization under data heterogeneity presents a significant challenge, often leading to suboptimal model performance. While numerous methods aim to replicate the ideal performance of centralized training, they frequently fall short in highly heterogeneous settings. In this paper, we intro

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2025

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang, Weihao Wang +2

EMNLP 2025

Chain-of-thought (CoT) reasoning boosts large language models’ (LLMs) performance on complex tasks but faces two key limitations: a lack of reliability when solely relying on LLM-generated reasoning chains and interference from natural language reasoning steps with the models’ inference process, als

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