Zhiwei Liu

Orcid: 0000-0003-1525-1067

Affiliations:
  • Salesforce, Palo Alto, CA, USA
  • University of Illinois at Chicago, IL, USA (former)


According to our database1, Zhiwei Liu authored at least 101 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Introduction to the Special Issue on Knowledge Transferring for Recommender Systems.
Trans. Recomm. Syst., September, 2025

UserBench: An Interactive Gym Environment for User-Centric Agents.
CoRR, July, 2025

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models.
CoRR, July, 2025

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs.
CoRR, May, 2025

Automating Personalization: Prompt Optimization for Recommendation Reranking.
CoRR, April, 2025

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.
CoRR, April, 2025

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models.
CoRR, March, 2025

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data.
CoRR, February, 2025

Training Large Recommendation Models via Graph-Language Token Alignment.
CoRR, February, 2025

Recommender Systems Meet Large Language Model Agents: A Survey.
Found. Trends Priv. Secur., 2025

Training Large Recommendation Models via Graph-Language Tokens Alignment.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.
Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

xLAM: A Family of Large Action Models to Empower AI Agent Systems.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection.
IEEE Trans. Knowl. Data Eng., June, 2024

CoSENT: Consistent Sentence Embedding via Similarity Ranking.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action.
CoRR, 2024

SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs.
CoRR, 2024

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent.
CoRR, 2024

xLAM: A Family of Large Action Models to Empower AI Agent Systems.
CoRR, 2024

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
CoRR, 2024

Personalized Multi-task Training for Recommender System.
CoRR, 2024

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.
CoRR, 2024

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases.
CoRR, 2024

MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models.
CoRR, 2024

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
CoRR, 2024

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.
CoRR, 2024

Unified Pretraining for Recommendation via Task Hypergraphs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Knowledge Graph Context-Enhanced Diversified Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Instruction-based Hypergraph Pretraining.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Semi-Supervised Clustering via Structural Entropy with Different Constraints.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Conditional Denoising Diffusion for Sequential Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

AI Agent for Information Retrieval: Generating and Ranking.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Collaborative Alignment for Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation.
CoRR, 2023

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model.
CoRR, 2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents.
CoRR, 2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.
CoRR, 2023

REX: Rapid Exploration and eXploitation for AI Agents.
CoRR, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
CoRR, 2023

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing.
CoRR, 2023

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph-based Alignment and Uniformity for Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-View Graph Convolution for Participant Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2023

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Federated Social Recommendation with Graph Neural Network.
ACM Trans. Intell. Syst. Technol., 2022

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
CoRR, 2022

Generating Negative Samples for Sequential Recommendation.
CoRR, 2022

Improving Contrastive Learning with Model Augmentation.
CoRR, 2022

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
CoRR, 2022

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Sequential Recommendation via Stochastic Self-Attention.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Intent Contrastive Learning for Sequential Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deoscillated Adaptive Graph Collaborative Filtering.
Proceedings of the Topological, 2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
Proceedings of the IEEE International Conference on Web Services, 2022

Explanation Guided Contrastive Learning for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.
Proceedings of the IEEE International Conference on Big Data, 2022

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
Proceedings of the IEEE International Conference on Big Data, 2022

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Pre-training Graph Neural Network for Cross Domain Recommendation.
CoRR, 2021

Deep Fraud Detection on Non-attributed Graph.
CoRR, 2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.
CoRR, 2021

Hop-Aware Dimension Optimization for Graph Neural Networks.
CoRR, 2021

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Pre-training Graph Neural Network for Cross Domain Recommendation.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Fraud Detection on Non-attributed Graph.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Deoscillated Graph Collaborative Filtering.
CoRR, 2020

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Basket Recommendation with Multi-Intent Translation Graph Neural Network.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Embedding and predicting the event at early stage.
World Wide Web, 2019

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Unsupervised Meta-path Reduction on Heterogeneous Information Networks.
CoRR, 2018

2017
Event Early Embedding: Predicting Event Volume Dynamics at Early Stage.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017


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