Zhiwei Liu
Orcid: 0000-0003-1525-1067Affiliations:
- 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:
Collaborative distances:
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Bibliography
2025
Trans. Recomm. Syst., September, 2025
MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs.
CoRR, May, 2025
CoRR, April, 2025
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.
CoRR, April, 2025
CoRR, March, 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data.
CoRR, February, 2025
CoRR, February, 2025
Found. Trends Priv. Secur., 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the 2025 SIAM International Conference on Data Mining, 2025
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
IEEE Trans. Knowl. Data Eng., June, 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action.
CoRR, 2024
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
CoRR, 2024
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.
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
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
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
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
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
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
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
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
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
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
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
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
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
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
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
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
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
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
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
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
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
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
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017