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ORCIDWeizhi Zhang 0001
Person information
- affiliation: University of Illinois Chicago, IL, USA
Other persons with the same name
- Weizhi Zhang — disambiguation page
- Weizhi Zhang 0002
![[0000-0002-9131-3234]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9131-3234")
— Huazhong University of Science and Technology, Wuhan, China - Weizhi Zhang 0003 — Guangxi University, Nanning, China
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2020 – today
- 2026
[i32]Yusheng Zhao, Jiaye Xie, Qixin Zhang, Weizhi Zhang, Xiao Luo, Zhiping Xiao, Philip S. Yu, Ming Zhang:
DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise. CoRR abs/2601.17449 (2026)- [i31]Haozhen Zhang, Haodong Yue, Tao Feng, Quanyu Long, Jianzhu Bao, Bowen Jin, Weizhi Zhang, Xiao Li, Jiaxuan You, Chengwei Qin, Wenya Wang:
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory. CoRR abs/2602.06025 (2026) - [i30]Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu:
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR abs/2602.06052 (2026) - 2025
- [c14]Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu:
TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. ACL (Findings) 2025: 20027-20041 - [c13]Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu:
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. ACL (1) 2025: 30750-30762 - [c12]Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu:
Cluster-Aware Item Prompt Learning for Session-Based Recommendation. IEEE Big Data 2025: 5563-5572 - [c11]Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. EMNLP (Findings) 2025: 1026-1041 - [c10]Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu:
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. EMNLP (Industry Track) 2025: 2016-2024 - [c9]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. RecSys 2025: 671-676 - [c8]Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu:
Graph Neural Controlled Differential Equations For Collaborative Filtering. WWW (Companion Volume) 2025: 1446-1449 - [i29]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:
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR abs/2501.01945 (2025) - [i28]Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu:
Graph Neural Controlled Differential Equations For Collaborative Filtering. CoRR abs/2501.13908 (2025) - [i27]Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu:
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. CoRR abs/2502.16414 (2025) - [i26]Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu:
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. CoRR abs/2502.19163 (2025) - [i25]Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu:
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR abs/2503.01814 (2025) - [i24]Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu:
Semi-Supervised In-Context Learning: A Baseline Study. CoRR abs/2503.03062 (2025) - [i23]Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. CoRR abs/2504.16936 (2025) - [i22]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:
A Survey on Large Language Model based Human-Agent Systems. CoRR abs/2505.00753 (2025) - [i21]Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang:
MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning. CoRR abs/2505.17481 (2025) - [i20]Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs. CoRR abs/2505.17599 (2025) - [i19]Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee, Philip S. Yu:
Cold-Start Recommendation with Knowledge-Guided Retrieval-Augmented Generation. CoRR abs/2505.20773 (2025) - [i18]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:
PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. CoRR abs/2506.06254 (2025) - [i17]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:
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. CoRR abs/2506.09420 (2025) - [i16]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:
Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. CoRR abs/2506.18019 (2025) - [i15]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:
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR abs/2506.18959 (2025) - [i14]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. CoRR abs/2507.13336 (2025) - [i13]Yaozu Wu, Jizhou Guo, Dongyuan Li, Henry Peng Zou, Wei-Chieh Huang, Yankai Chen, Zhen Wang, Weizhi Zhang, Yangning Li, Meng Zhang, Renhe Jiang, Philip S. Yu:
PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents. CoRR abs/2509.23614 (2025) - [i12]Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Renhe Jiang, Philip S. Yu:
DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. CoRR abs/2510.10994 (2025) - [i11]Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu:
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies. CoRR abs/2510.22095 (2025) - [i10]Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu:
LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering. CoRR abs/2511.15424 (2025) - [i9]Zheng Hui, Xiaokai Wei, Reza Shirkavand, Chen Wang, Weizhi Zhang, Alejandro Peláez, Michelle Gong:
Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation. CoRR abs/2511.20673 (2025) - 2024
- [c7]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) 2024: 338-354 - [c6]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM 2024: 3248-3258 - [i8]Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu:
Cyclic Neural Network. CoRR abs/2402.03332 (2024) - [i7]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR abs/2404.15592 (2024) - [i6]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR abs/2404.15954 (2024) - [i5]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR abs/2407.18910 (2024) - [i4]Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu:
Item Cluster-aware Prompt Learning for Session-based Recommendation. CoRR abs/2410.04756 (2024) - 2023
- [c5]Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. IEEE Big Data 2023: 483-492 - [c4]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. EMNLP (Findings) 2023: 6104-6115 - [c3]Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu:
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. ICDM 2023: 1445-1450 - [c2]Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. WWW 2023: 4115-4119 - [i3]Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. CoRR abs/2302.06862 (2023) - [i2]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. CoRR abs/2310.14577 (2023) - [i1]Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu:
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. CoRR abs/2311.12329 (2023) - 2021
- [c1]Weizhi Zhang, Boxiao Shen, Chuan Huang:
Deep Learning for Blind Detection of Interleaver and Scrambler. ICCC 2021: 811-816
Coauthor Index
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