Event Early Embedding: Predicting Event Volume Dynamics at Early Stage. - Zhiwei Liu 001; Yang Yang 002; Zi Huang; Fumin Shen; Dongxiang Zhang; Heng Tao Shen (SIGIR, 2017)

Unsupervised Meta-path Reduction on Heterogeneous Information Networks. - Xiaokai Wei; Zhiwei Liu 001; Lichao Sun 001; Philip S. Yu (CoRR, 2018)

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. - Zhiwei Liu 001; Lei Zheng 001; Jiawei Zhang 001; Jiayu Han; Philip S. Yu (IEEE BigData, 2019)

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. - Xiaokai Wei; Zhiwei Liu 001; Lichao Sun 001; Philip S. Yu (IEEE BigData, 2019)

Embedding and predicting the event at early stage. - Zhiwei Liu 001; Yang Yang 002; Zi Huang; Fumin Shen; Dongxiang Zhang; Heng Tao Shen (World Wide Web, 2019)

Basket Recommendation with Multi-Intent Translation Graph Neural Network. - Zhiwei Liu 001; Xiaohan Li 001; Ziwei Fan 001; Stephen D. Guo; Kannan Achan; Philip S. Yu (IEEE BigData, 2020)

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. - Yingtong Dou; Zhiwei Liu 001; Li Sun 008; Yutong Deng; Hao Peng 001; Philip S. Yu (CIKM, 2020)

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. - Aditya Mantha; Yokila Arora; Shubham Gupta; Praveenkumar Kanumala; Zhiwei Liu 001; Stephen D. Guo; Kannan Achan (ICASSP, 2020)

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. - Zhiwei Liu 001; Mengting Wan; Stephen D. Guo; Kannan Achan; Philip S. Yu (SDM, 2020)

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. - Zhiwei Liu 001; Yingtong Dou; Philip S. Yu; Yutong Deng; Hao Peng 001 (SIGIR, 2020)

Deoscillated Graph Collaborative Filtering. - Zhiwei Liu 001; Lin Meng; Jiawei Zhang 001; Philip S. Yu (CoRR, 2020)

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. - Xiaohan Li 001; Zhiwei Liu 001; Stephen D. Guo; Zheng Liu 017; Hao Peng 001; Philip S. Yu; Kannan Achan (IEEE BigData, 2021)

Deep Fraud Detection on Non-attributed Graph. - Chen Wang 052; Yingtong Dou; Min Chen; Jia Chen; Zhiwei Liu 001; Philip S. Yu (IEEE BigData, 2021)

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. - Ziwei Fan 001; Zhiwei Liu 001; Shen Wang 005; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Jiawei Zhang 001; Yun Xiong; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. - Yu Wang 158; Zhiwei Liu 001; Ziwei Fan 001; Lichao Sun 001; Philip S. Yu (CIKM, 2021)

Pre-training Graph Neural Network for Cross Domain Recommendation. - Chen Wang 052; Yueqing Liang; Zhiwei Liu 001; Tao Zhang 055; Philip S. Yu (CogMI, 2021)

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. - Jian-Guo Zhang 005; Trung Bui; Seunghyun Yoon 002; Xiang Chen; Zhiwei Liu 001; Congying Xia; Quan Hung Tran; Walter Chang; Philip S. Yu (EMNLP (1), 2021)

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. - Tao Zhang 055; Congying Xia; Philip S. Yu; Zhiwei Liu 001; Shu Zhao (EMNLP (1), 2021)

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. - Zhiwei Liu 001; Ziwei Fan 001; Yu Wang 158; Philip S. Yu (SIGIR, 2021)

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. - Liangwei Yang; Zhiwei Liu 001; Yingtong Dou; Jing Ma 004; Philip S. Yu (SIGIR, 2021)

Hop-Aware Dimension Optimization for Graph Neural Networks. - Ailing Zeng; Minhao Liu; Zhiwei Liu 001; Ruiyuan Gao 001; Qiang Xu 001 (CoRR, 2021)

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. - Zhiwei Liu 001; Yongjun Chen; Jia Li 015; Philip S. Yu; Julian J. McAuley; Caiming Xiong (CoRR, 2021)

Deep Fraud Detection on Non-attributed Graph. - Chen Wang 018; Yingtong Dou; Min Chen; Jia Chen; Zhiwei Liu 001; Philip S. Yu (CoRR, 2021)

Pre-training Graph Neural Network for Cross Domain Recommendation. - Chen Wang 018; Yueqing Liang; Zhiwei Liu 001; Tao Zhang 055; Philip S. Yu (CoRR, 2021)

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Zhiwei Liu 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (ConvAI@ACL, 2022)

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Chen Wang 052; Peijie Huang; Hao Peng 001; Philip S. Yu (IEEE Big Data, 2022)

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. - Shen Wang 005; Liangwei Yang; Jibing Gong; Shaojie Zheng; Shuying Du; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2022)

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. - Yu Wang 158; Hengrui Zhang; Zhiwei Liu 001; Liangwei Yang; Philip S. Yu (CIKM, 2022)

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. - Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Lingjuan Lyu; Zhiwei Liu 001; Chaochao Chen 001; Jia Wu 001; Xu Bai; Philip S. Yu (CIKM, 2022)

Explanation Guided Contrastive Learning for Sequential Recommendation. - Lei Wang 185; Ee-Peng Lim; Zhiwei Liu 001; Tianxiang Zhao 001 (CIKM, 2022)

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. - Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Zhiwei Liu 001; Jia Wu 001; Philip S. Yu (ICWS, 2022)

Deoscillated Adaptive Graph Collaborative Filtering. - Zhiwei Liu 001; Lin Meng; Fei Jiang; Jiawei Zhang 001; Philip S. Yu (TAG-ML, 2022)

Intent Contrastive Learning for Sequential Recommendation. - Yongjun Chen; Zhiwei Liu 001; Jia Li 015; Julian J. McAuley; Caiming Xiong (WWW, 2022)

Sequential Recommendation via Stochastic Self-Attention. - Ziwei Fan 001; Zhiwei Liu 001; Yu Wang 158; Alice Wang; Zahra Nazari; Lei Zheng 001; Hao Peng 001; Philip S. Yu (WWW, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 052; Ziwei Fan 001; Philip S. Yu (WWW, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 018; Ziwei Fan 001; Philip S. Yu (CoRR, 2022)

Improving Contrastive Learning with Model Augmentation. - Zhiwei Liu 001; Yongjun Chen; Jia Li 015; Man Luo; Philip S. Yu; Caiming Xiong (CoRR, 2022)

Generating Negative Samples for Sequential Recommendation. - Yongjun Chen; Jia Li 015; Zhiwei Liu 001; Nitish Shirish Keskar; Huan Wang 016; Julian J. McAuley; Caiming Xiong (CoRR, 2022)

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Chen Wang 018; Peijie Huang; Hao Peng 001; Philip S. Yu (CoRR, 2022)

Federated Social Recommendation with Graph Neural Network. - Zhiwei Liu 001; Liangwei Yang; Ziwei Fan 001; Hao Peng 001; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2022)

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Xiaohan Li 001; Mingdai Yang; Chen Wang 052; Philip S. Yu (IEEE Big Data, 2023)

Multi-View Graph Convolution for Participant Recommendation. - Xiaolong Liu; Liangwei Yang; Chen Wang 052; Mingdai Yang; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2023)

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. - Ziwei Fan 001; Zhiwei Liu 001; Shelby Heinecke; Jianguo Zhang 005; Huan Wang 016; Caiming Xiong; Philip S. Yu (CIKM, 2023)

Graph-based Alignment and Uniformity for Recommendation. - Liangwei Yang; Zhiwei Liu 001; Chen Wang 052; Mingdai Yang; Xiaolong Liu; Jing Ma 004; Philip S. Yu (CIKM, 2023)

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (CIKM, 2023)

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. - Guangjie Zeng; Hao Peng 001; Angsheng Li; Zhiwei Liu 001; Chunyang Liu; Philip S. Yu; Lifang He 001 (ICDM, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 052; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (RecSys, 2023)

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. - Jianguo Zhang 005; Stephen Roller; Kun Qian 016; Zhiwei Liu 001; Rui Meng; Shelby Heinecke; Huan Wang 014; Silvio Savarese; Caiming Xiong (SIGDIAL, 2023)

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2023)

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. - Ziwei Fan 001; Zhiwei Liu 001; Hao Peng 001; Philip S. Yu (WWW, 2023)

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. - Ziwei Fan 001; Zhiwei Liu 001; Hao Peng 001; Philip S. Yu (CoRR, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 018; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (CoRR, 2023)

REX: Rapid Exploration and eXploitation for AI Agents. - Rithesh Murthy; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Le Xue; Weiran Yao; Yihao Feng; Zeyuan Chen 001; Akash Gokul; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. - Weiran Yao; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Yihao Feng; Le Xue; Rithesh Murthy; Zeyuan Chen 001; Jianguo Zhang 005; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Le Xue; Shelby Heinecke; Rithesh Murthy; Yihao Feng; Zeyuan Chen 001; Juan Carlos Niebles; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CoRR, 2023)

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. - Yu Wang 158; Zhiwei Liu 001; Jianguo Zhang 005; Weiran Yao; Shelby Heinecke; Philip S. Yu (CoRR, 2023)

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. - Tao Zhang 055; Congying Xia; Zhiwei Liu 001; Shu Zhao; Hao Peng 001; Philip S. Yu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Collaborative Alignment for Recommendation. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CIKM, 2024)

AI Agent for Information Retrieval: Generating and Ranking. - Yongfeng Zhang; Zhiwei Liu 001; Qingsong Wen; Linsey Pang; Wei Liu 007; Philip S. Yu (CIKM, 2024)

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. - Jianguo Zhang 005; Kun Qian 016; Zhiwei Liu 001; Shelby Heinecke; Rui Meng; Ye Liu 006; Zhou Yu 005; Huan Wang 014; Silvio Savarese; Caiming Xiong (EACL (Findings), 2024)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. - Weiran Yao; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Yihao Feng; Le Xue; Rithesh R. N.; Zeyuan Chen 001; Jianguo Zhang 005; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (ICLR, 2024)

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. - Chen Wang 052; Ziwei Fan 001; Liangwei Yang; Mingdai Yang; Xiaolong Liu; Zhiwei Liu 001; Philip S. Yu (KDD, 2024)

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang; Ming Zhu; Tian Lan; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh R. N.; Liangwei Yang; et al. (NeurIPS, 2024)

Conditional Denoising Diffusion for Sequential Recommendation. - Yu Wang 158; Zhiwei Liu 001; Liangwei Yang; Philip S. Yu (PAKDD (5), 2024)

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. - Juntao Tan; Shelby Heinecke; Zhiwei Liu 001; Yongjun Chen; Yongfeng Zhang; Huan Wang 014 (SDM, 2024)

Semi-Supervised Clustering via Structural Entropy with Different Constraints. - Guangjie Zeng; Hao Peng 001; Angsheng Li; Zhiwei Liu 001; Runze Yang; Chunyang Liu; Lifang He 001 (SDM, 2024)

Instruction-based Hypergraph Pretraining. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (SIGIR, 2024)

Knowledge Graph Context-Enhanced Diversified Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Mingdai Yang; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Unified Pretraining for Recommendation via Task Hypergraphs. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. - Jianguo Zhang 005; Tian Lan 006; Rithesh Murthy; Zhiwei Liu 001; Weiran Yao; Juntao Tan; Thai Hoang; Liangwei Yang; Yihao Feng; Zuxin Liu; Tulika Manoj Awalgaonkar; Juan Carlos Niebles; et al. (CoRR, 2024)

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Liangwei Yang; Zuxin Liu; Juntao Tan; Prafulla Kumar Choubey; Tian Lan 006; Jason Wu; Huan Wang 014; Shelby Heinecke; Caiming Xiong; et al. (CoRR, 2024)

MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. - Kailai Yang; Zhiwei Liu 001; Qianqian Xie; Tianlin Zhang; Nirui Song; Jimin Huang; Ziyan Kuang; Sophia Ananiadou (CoRR, 2024)

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. - Rithesh Murthy; Liangwei Yang; Juntao Tan; Tulika Manoj Awalgaonkar; Yilun Zhou; Shelby Heinecke; Sachin Desai; Jason Wu; Ran Xu 001; Sarah Tan; Jianguo Zhang 005; Zhiwei Liu 001; et al. (CoRR, 2024)

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang 005; Ming Zhu; Tian Lan 006; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh Murthy; Liangwei Yang; et al. (CoRR, 2024)

Personalized Multi-task Training for Recommender System. - Liangwei Yang; Zhiwei Liu 001; Jianguo Zhang 005; Rithesh Murthy; Shelby Heinecke; Huan Wang 016; Caiming Xiong; Philip S. Yu (CoRR, 2024)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh Murthy; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (CoRR, 2024)

xLAM: A Family of Large Action Models to Empower AI Agent Systems. - Jianguo Zhang 005; Tian Lan 006; Ming Zhu; Zuxin Liu; Thai Hoang; Shirley Kokane; Weiran Yao; Juntao Tan; Akshara Prabhakar; Haolin Chen; Zhiwei Liu 001; Yihao Feng; et al. (CoRR, 2024)

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Rithesh Murthy; Liangwei Yang; Zuxin Liu; Tian Lan 006; Ming Zhu; Juntao Tan; Shirley Kokane; Thai Hoang; Juan Carlos Niebles; et al. (CoRR, 2024)

SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs. - Shirley Kokane; Ming Zhu; Tulika Awalgaonkar; Jianguo Zhang; Thai Hoang; Akshara Prabhakar; Zuxin Liu; Tian Lan; Liangwei Yang; Juntao Tan; Rithesh Murthy; Weiran Yao; et al. (CoRR, 2024)

TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. - Zixian Ma; Jianguo Zhang; Zhiwei Liu 001; Jieyu Zhang 001; Juntao Tan; Manli Shu; Juan Carlos Niebles; Shelby Heinecke; Huan Wang 014; Caiming Xiong; Ranjay Krishna; Silvio Savarese (CoRR, 2024)

CoSENT: Consistent Sentence Embedding via Similarity Ranking. - Xiang Huang; Hao Peng 001; Dongcheng Zou; Zhiwei Liu 001; Jianxin Li 002; Kay Liu; Jia Wu 001; Jianlin Su; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. - Jiaqian Ren; Hao Peng 001; Lei Jiang 003; Zhiwei Liu 001; Jia Wu 001; Zhengtao Yu 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. - Juntao Tan; Liangwei Yang; Zuxin Liu; Zhiwei Liu 001; Rithesh R. N.; Tulika Manoj Awalgaonkar; Jianguo Zhang; Weiran Yao; Ming Zhu; Shirley Kokane; Silvio Savarese; Huan Wang 016; et al. (ACL (Findings), 2025)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh R. N.; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (ICLR, 2025)

xLAM: A Family of Large Action Models to Empower AI Agent Systems. - Jianguo Zhang; Tian Lan 006; Ming Zhu; Zuxin Liu; Thai Hoang; Shirley Kokane; Weiran Yao; Juntao Tan; Akshara Prabhakar; Haolin Chen; Zhiwei Liu 001; Yihao Feng; et al. (NAACL (Long Papers), 2025)

CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. - Huaiyuan Yao; Longchao Da; Vishnu Nandam; Justin Turnau; Zhiwei Liu 001; Linsey Pang; Hua Wei 001 (SDM, 2025)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. - Yuwei Cao; Liangwei Yang; Zhiwei Liu 001; Yuqing Liu 003; Chen Wang 052; Yueqing Liang; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. - Qingsong Wen; Yongfeng Zhang; Zhiwei Liu 001; Julian J. McAuley; Hua Wei 001; Linsey Pang; Wei Liu 007; Philip S. Yu (WWW (Companion Volume), 2025)

Training Large Recommendation Models via Graph-Language Tokens Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

Recommender Systems Meet Large Language Model Agents: A Survey. - Xi Zhu; Yu Wang 158; Hang Gao; Wujiang Xu; Chen Wang; Zhiwei Liu 001; Kun Wang 056; Mingyu Jin; Linsey Pang; Qingsong Weng; Philip S. Yu; Yongfeng Zhang (Found. Trends Priv. Secur., 2025)

Training Large Recommendation Models via Graph-Language Token Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 018; Hao Peng 001; Philip S. Yu (CoRR, 2025)

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. - Juntao Tan; Liangwei Yang; Zuxin Liu; Zhiwei Liu 001; Rithesh Murthy; Tulika Manoj Awalgaonkar; Jianguo Zhang; Weiran Yao; Ming Zhu; Shirley Kokane; Silvio Savarese; Huan Wang 016; et al. (CoRR, 2025)

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. - Jianguo Zhang 005; Thai Hoang; Ming Zhu; Zuxin Liu; Shiyu Wang; Tulika Awalgaonkar; Akshara Prabhakar; Haolin Chen; Weiran Yao; Zhiwei Liu 001; Juntao Tan; Juan Carlos Niebles; et al. (CoRR, 2025)

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay. - Akshara Prabhakar; Zuxin Liu; Ming Zhu; Jianguo Zhang 005; Tulika Awalgaonkar; Shiyu Wang; Zhiwei Liu 001; Haolin Chen; Thai Hoang; Juan Carlos Niebles; Shelby Heinecke; Weiran Yao; et al. (CoRR, 2025)

Automating Personalization: Prompt Optimization for Recommendation Reranking. - Chen Wang; Mingdai Yang; Zhiwei Liu 001; Pan Li; Linsey Pang; Qingsong Wen; Philip S. Yu (CoRR, 2025)

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs. - Zhiwei Liu 001; Lingfei Qian; Qianqian Xie; Jimin Huang; Kailai Yang; Sophia Ananiadou (CoRR, 2025)

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. - Zhiwei Liu 001; Jielin Qiu; Shiyu Wang; Jianguo Zhang 005; Zuxin Liu; Roshan Ram; Haolin Chen; Weiran Yao; Huan Wang 014; Shelby Heinecke; Silvio Savarese; Caiming Xiong (CoRR, 2025)

UserBench: An Interactive Gym Environment for User-Centric Agents. - Cheng Qian 008; Zuxin Liu; Akshara Prabhakar; Zhiwei Liu 001; Jianguo Zhang 005; Haolin Chen; Heng Ji 001; Weiran Yao; Shelby Heinecke; Silvio Savarese; Caiming Xiong; Huan Wang 014 (CoRR, 2025)

Introduction to the Special Issue on Knowledge Transferring for Recommender Systems. - Zhiwei Liu 001; Hao Peng 001; Caiming Xiong; Julian J. McAuley; Philip S. Yu (Trans. Recomm. Syst., 2025)