Chaozhuo Li

Orcid: 0000-0002-9867-1712

Affiliations:
  • Microsoft Research Asia, Beijing, China
  • Beihang University, Beijing, China (PhD 2020)


According to our database1, Chaozhuo Li authored at least 104 papers between 2015 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
Knowledge-aware multimodal pre-training for fake news detection.
Inf. Fusion, 2025

Identifying the hierarchical emotional areas in the human brain through information fusion.
Inf. Fusion, 2025

2024
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Growing Like a Tree: Finding Trunks From Graph Skeleton Trees.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
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PLoS Comput. Biol., 2024

PPMGS: An efficient and effective solution for distributed privacy-preserving semi-supervised learning.
Inf. Sci., 2024

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs.
CoRR, 2024

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.
CoRR, 2024

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
CoRR, 2024

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.
CoRR, 2024

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR, 2024

Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy.
CoRR, 2024

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection.
CoRR, 2024

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
Proceedings of the ACM on Web Conference 2024, 2024

Information Retrieval Meets Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Context-Aware Structural Adaptive Graph Neural Networks.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evidence Retrieval is almost All You Need for Fact Verification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Explainable survival analysis with uncertainty using convolution-involved vision transformer.
Comput. Medical Imaging Graph., December, 2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst., April, 2023

Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting.
Inf., 2023

Customized Graph Nerual Networks.
IEEE Data Eng. Bull., 2023

Can Transformer and GNN Help Each Other?
CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR, 2023

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continual Learning on Dynamic Graphs via Parameter Isolation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hierarchical Graph Contrastive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Generative Sentiment Transfer via Adaptive Masking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Bayesian Active Causal Discovery with Multi-Fidelity Experiments.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PASS: Personalized Advertiser-aware Sponsored Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Vision Transformers with Nested Multi-head Attentions.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Learning on Large-scale Text-attributed Graphs via Variational Inference.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Geometry Interaction Augmented Graph Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Clean-label Poisoning Attack against Fake News Detection Models.
Proceedings of the IEEE International Conference on Big Data, 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks.
IEEE Trans. Cybern., 2022

Test-Time Training for Graph Neural Networks.
CoRR, 2022

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing.
CoRR, 2022

Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR, 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Disentangled Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Localized Graph Collaborative Filtering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Reinforcement Subgraph Reasoning for Fake News Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.
Proceedings of the International Conference on Machine Learning, 2022

Going Deeper into Permutation-Sensitive Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Deep Attentive Multimodal Network Representation Learning for Social Media Images.
ACM Trans. Internet Techn., 2021

Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations.
IEEE Trans. Ind. Informatics, 2021

Dual self-attention with co-attention networks for visual question answering.
Pattern Recognit., 2021

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR, 2021

Gophormer: Ego-Graph Transformer for Node Classification.
CoRR, 2021

Localized Graph Collaborative Filtering.
CoRR, 2021

GraphFormers: GNN-nested Language Models for Linked Text Representation.
CoRR, 2021

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Hubness-aware User Identity Linkage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Mixture distribution modeling for scalable graph-based semi-supervised learning.
Knowl. Based Syst., 2020

2019
Visual-textual sentiment classification with bi-directional multi-level attention networks.
Knowl. Based Syst., 2019

Adversarial learning for multi-view network embedding on incomplete graphs.
Knowl. Based Syst., 2019

Network embedding by fusing multimodal contents and links.
Knowl. Based Syst., 2019

Multi-Hot Compact Network Embedding.
CoRR, 2019

Sentiment analysis of social images via hierarchical deep fusion of content and links.
Appl. Soft Comput., 2019

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning with Noisy Labels for Sentence-level Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MARS: Memory Attention-Aware Recommender System.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Multi-Hot Compact Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adversarial Learning for Weakly-Supervised Social Network Alignment.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion.
Proceedings of the IEEE International Conference on Data Mining, 2018

Optimizing Generalized Linear Models with Billions of Variables.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Distribution Distance Minimization for Unsupervised User Identity Linkage.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
DTRP: A Flexible Deep Framework for Travel Route Planning.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

PPNE: Property Preserving Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2017

Semi-Supervised Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2017

From Properties to Links: Deep Network Embedding on Incomplete Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Detecting Context Dependent Messages in a Conversational Environment.
Proceedings of the COLING 2016, 2016

2015
Exploring Social Network Information for Solving Cold Start in Product Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015


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