Henry Peng Zou

According to our database, Henry Peng Zou authored at least 26 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy.

Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu

CoRR, June, 2025

PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time.

Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li

CoRR, June, 2025

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection.

Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu

CoRR, May, 2025

A Survey on Large Language Model based Human-Agent Systems.

Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu

CoRR, May, 2025

Semi-Supervised In-Context Learning: A Baseline Study.

Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu

CoRR, March, 2025

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation.

Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu

CoRR, March, 2025

TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency.

Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu

CoRR, February, 2025

GLEAN: Generalized Category Discovery with Diverse and Quality-Enhanced LLM Feedback.

Henry Peng Zou, Siffi Singh, Yi Nian, Jianfeng He, Jason Cai, Saab Mansour, Hang Su

CoRR, February, 2025

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances.

Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu

CoRR, February, 2025

TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation.

Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu

CoRR, February, 2025

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap.

Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu

CoRR, January, 2025

Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges.

Vinay Samuel, Yue Zhou, Henry Peng Zou

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

COOD: Concept-based Zero-shot OOD Detection.

Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu, Yue Zhao

CoRR, 2024

PersonaGym: Evaluating Persona Agents and LLMs.

Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari

CoRR, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

CoRR, 2024

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.

Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang

CoRR, 2024

Mixed Supervised Graph Contrastive Learning for Recommendation.

Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu

CoRR, 2024

EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM.

Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks.

Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Sequential LLM Framework for Fashion Recommendation.

Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto F. Galán, Michael D. Porter, Dongmei Jia, Ning Zhang, Lian Xiong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation.

Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction.

Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification.

Henry Peng Zou, Yue Zhou, Cornelia Caragea, Doina Caragea

CoRR, 2023

DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank.

Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification.

Henry Peng Zou, Cornelia Caragea

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023