Weizhi Zhang - RankMe

50 papers A* 3A 2B 2C 1Journal 34Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise. CoRR Yusheng Zhao, Jiaye Xie, Qixin Zhang, Weizhi Zhang, Xiao Luo, Zhiping Xiao, Philip S. Yu, Ming Zhang
2026	A*	`conf`	DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation. WWW Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Sunghun Kim, Xu Cai
2026	J	`jnl`	Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory. CoRR Haozhen Zhang, Haodong Yue, Tao Feng, Quanyu Long, Jianzhu Bao, Bowen Jin, Weizhi Zhang, Xiao Li, Jiaxuan You, Chengwei Qin, Wenya Wang
2026	J	`jnl`	MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents. CoRR Haozhen Zhang, Quanyu Long, Jianzhu Bao, Tao Feng, Weizhi Zhang, Haodong Yue, Wenya Wang
2026	J	`jnl`	MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization. CoRR Weizhi Zhang, Xiaokai Wei, Wei-Chieh Huang, Zheng Hui, Chen Wang, Michelle Gong, Philip S. Yu
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR 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
2025	J	`jnl`	A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. CoRR 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
2025	J	`jnl`	A Survey on Large Language Model based Human-Agent Systems. CoRR 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
2025	B	`conf`	Cluster-Aware Item Prompt Learning for Session-Based Recommendation. IEEE Big Data Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu
2025	J	`jnl`	Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR 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
2025	J	`jnl`	Cold-Start Recommendation with Knowledge-Guided Retrieval-Augmented Generation. CoRR Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee, Philip S. Yu
2025	J	`jnl`	DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. CoRR 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
2025	J	`jnl`	Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs. CoRR Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025	J	`jnl`	Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies. CoRR Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu
2025	J	`jnl`	From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR 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
2025	—	`conf`	Graph Neural Controlled Differential Equations For Collaborative Filtering. WWW (Companion Volume) Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Graph Neural Controlled Differential Equations For Collaborative Filtering. CoRR Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. CoRR 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
2025	J	`jnl`	LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering. CoRR Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu
2025	—	`conf`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. EMNLP (Industry Track) Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	J	`jnl`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	J	`jnl`	MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning. CoRR Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang
2025	—	`conf`	Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. EMNLP (Findings) Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025	J	`jnl`	Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. CoRR Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025	J	`jnl`	PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents. CoRR 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
2025	J	`jnl`	PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. CoRR 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
2025	A	`conf`	SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. RecSys Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2025	J	`jnl`	Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation. CoRR Zheng Hui, Xiaokai Wei, Reza Shirkavand, Chen Wang, Weizhi Zhang, Alejandro Peláez, Michelle Gong
2025	J	`jnl`	Semi-Supervised In-Context Learning: A Baseline Study. CoRR Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu
2025	—	`conf`	TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. ACL (Findings) Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025	J	`jnl`	TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. CoRR Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025	—	`conf`	TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. ACL (1) Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025	J	`jnl`	TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. CoRR Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025	—	`conf`	Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback. CogMI Weizhi Zhang, Wooseong Yang, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Henry Peng Zou, Qifei Wang, Hanqing Zeng, Jiayi Liu, Yinglong Xia, Philip S. Yu
2024	J	`jnl`	Cyclic Neural Network. CoRR Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
2024	A	`conf`	Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024	J	`jnl`	Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024	—	`conf`	ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
2024	J	`jnl`	ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
2024	J	`jnl`	Item Cluster-aware Prompt Learning for Session-based Recommendation. CoRR Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu
2024	J	`jnl`	Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2023	—	`conf`	DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. EMNLP (Findings) Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea
2023	J	`jnl`	DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. CoRR Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea
2023	B	`conf`	Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. IEEE Big Data Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu
2023	A*	`conf`	Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. ICDM Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu
2023	J	`jnl`	Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. CoRR Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu
2023	A*	`conf`	Graph-based Village Level Poverty Identification. WWW Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
2023	J	`jnl`	Graph-based Village Level Poverty Identification. CoRR Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
2021	C	`conf`	Deep Learning for Blind Detection of Interleaver and Scrambler. ICCC Weizhi Zhang, Boxiao Shen, Chuan Huang