Weizhi Zhang

Orcid: 0000-0003-4067-7588

Affiliations:

University of Illinois Chicago, IL, USA

According to our database¹, Weizhi Zhang authored at least 49 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring.

[BibT_eX]

[DOI]

CoRR, May, 2026

When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation.

[BibT_eX]

[DOI]

CoRR, April, 2026

MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization.

[BibT_eX]

[DOI]

CoRR, March, 2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.

[BibT_eX]

[DOI]

CoRR, February, 2026

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory.

[BibT_eX]

[DOI]

CoRR, February, 2026

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.

[BibT_eX]

[DOI]

CoRR, February, 2026

DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise.

[BibT_eX]

[DOI]

CoRR, January, 2026

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation.

[BibT_eX]

[DOI]

CoRR, November, 2025

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering.

[BibT_eX]

[DOI]

CoRR, November, 2025

Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies.

[BibT_eX]

[DOI]

CoRR, October, 2025

DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.

[BibT_eX]

[DOI]

CoRR, October, 2025

PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents.

[BibT_eX]

[DOI]

CoRR, September, 2025

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs.

[BibT_eX]

[DOI]

CoRR, July, 2025

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

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, January, 2025

Graph Neural Controlled Differential Equations For Collaborative Filtering.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[BibT_eX]

[DOI]

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

A Survey of RAG-Reasoning Systems in Large Language Models.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

Cluster-Aware Item Prompt Learning for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Mixed Supervised Graph Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Cyclic Neural Network.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2023

Graph-based Village Level Poverty Identification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Deep Learning for Blind Detection of Interleaver and Scrambler.

[BibT_eX]

[DOI]

Weizhi Zhang

Boxiao Shen

Chuan Huang

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

Weizhi Zhang

Timeline

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