P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. - Xiao Liu 036; Kaixuan Ji; Yicheng Fu; Zhengxiao Du; Zhilin Yang 001; Jie Tang 001 (CoRR, 2021)

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. - Xiao Liu 036; Kaixuan Ji; Yicheng Fu; Weng Tam; Zhengxiao Du; Zhilin Yang 001; Jie Tang 001 (ACL (2), 2022)

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. - Bill Yuchen Lin; Yicheng Fu; Karina Yang; Faeze Brahman; Shiyu Huang 001; Chandra Bhagavatula; Prithviraj Ammanabrolu; Yejin Choi 001; Xiang Ren 001 (NeurIPS, 2023)

Online Query-Based Data Pricing with Time-Discounting Valuations. - Yicheng Fu; Xiaoye Miao; Huanhuan Peng; Chongning Na; Shuiguang Deng; Jianwei Yin (ICDE, 2024)

CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Device. - Yicheng Fu; Raviteja Anantha; Jianpeng Cheng 003 (CoRR, 2024)

EgoNormia: Benchmarking Physical-Social Norm Understanding. - MohammadHossein Rezaei; Yicheng Fu; Phil Cuvin; Caleb Ziems; Yanzhe Zhang; Hao Zhu; Diyi Yang (ACL (Findings), 2025)

On Scalable Query Pricing in Data Marketplaces. - Huanhuan Peng; Xiaoye Miao; Yicheng Fu; Jinshan Zhang 001; Shuiguang Deng; Jianwei Yin (ICDE, 2025)

ConQuer: A Framework for Concept-Based Quiz Generation. - Yicheng Fu; Zikui Wang; Liuxin Yang; Meiqing Huo; Zhongdongming Dai (NAACL (Student Research Workshop), 2025)

UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity. - Yicheng Fu; Raviteja Anantha; Prabal Vashisht; Jianpeng Cheng 003; Etai Littwin (UMAP, 2025)

HyperTuneFaaS: A serverless framework for hyperparameter tuning in image processing models. - Jiantao Zhang; Bojun Ren; Yicheng Fu; Rongbo Ma; Zinuo Cai; Weishan Zhang; Ruhui Ma; Jinshan Sun (Displays, 2025)

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration. - James Begin; Namit Agrawal; Eshan Singh; Yicheng Fu; Sean O'Brien; Vasu Sharma; Kevin Zhu (CoRR, 2025)

LLMaaS: Serving Large-Language Models on Trusted Serverless Computing Platforms. - Zinuo Cai; Rongbo Ma; Yicheng Fu; Weishan Zhang; Ruhui Ma; Haibing Guan (IEEE Trans. Artif. Intell., 2025)

Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks. - Jiawei Wang; Yushen Zuo; Yuanjun Chai; Zhendong Liu; Yicheng Fu; Yichun Feng; Kin-Man Lam 001 (CoRR, 2025)

FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations. - Athena Wen; Tanush Patil; Ansh Saxena; Yicheng Fu; Sean O'Brien; Kevin Zhu (CoRR, 2025)

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques. - Lang Xiong; Raina Gao; Alyssa Jeong; Yicheng Fu; Sean O'Brien; Vasu Sharma; Kevin Zhu (CoRR, 2025)

Chengyu-Bench: Benchmarking Large Language Models for Chinese Idiom Understanding and Use. - Yicheng Fu; Zhemin Huang; Liuxin Yang; Yumeng Lu; Zhongdongming Dai (CoRR, 2025)