Weizhi Zhang

According to our database, Weizhi Zhang authored at least 27 papers between 2021 and 2025.

Collaborative distances:

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

2025

SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation.

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

CoRR, July, 2025

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.

Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu

CoRR, June, 2025

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities.

Yuanchen Bei, Weizhi Zhang, Siwen Wang, Weizhi Chen, Sheng Zhou, Hao Chen, Yong Li, Jiajun Bu, Shirui Pan, Yizhou Yu, Irwin King, Fakhri Karray, Philip S. Yu

CoRR, June, 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

Cold-Start Recommendation with Knowledge-Guided Retrieval-Augmented Generation.

Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee, Philip S. Yu

CoRR, May, 2025

Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs.

Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

CoRR, May, 2025

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning.

Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang

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

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.

Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

CoRR, April, 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

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

Graph Neural Controlled Differential Equations For Collaborative Filtering.

Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

TestNUC: Enhancing Test-Time Computing Approaches and Scaling 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Item Cluster-aware Prompt Learning for Session-based Recommendation.

Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu

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

Cyclic Neural Network.

Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu

CoRR, 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

Graph-based Village Level Poverty Identification.

Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu

Proceedings of the ACM Web Conference 2023, 2023

Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering.

Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 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

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation.

Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Deep Learning for Blind Detection of Interleaver and Scrambler.

Weizhi Zhang, Boxiao Shen, Chuan Huang

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021