Bo Zhang

Orcid: 0000-0003-2942-1311

Affiliations:
  • Tencent, WeChat Search Application Department, Beijing, China


According to our database1, Bo Zhang authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Towards Empathetic Conversational Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Group-based social diffusion in recommendation.
World Wide Web (WWW), July, 2023

Simultaneously Optimizing Perturbations and Positions for Black-Box Adversarial Patch Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing.
IEEE Trans. Knowl. Data Eng., June, 2023

Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation.
IEEE Trans. Knowl. Data Eng., March, 2023

Better Pre-Training by Reducing Representation Confusion.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Multi-granularity Item-Based Contrastive Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
COSINE: Compressive Network Embedding on Large-Scale Information Networks.
IEEE Trans. Knowl. Data Eng., 2022

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network.
IEEE Trans. Big Data, 2022

Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations.
CoRR, 2022

Contrastive Cross-domain Recommendation in Matching.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Meaningful Adversarial Stickers for Face Recognition in Physical World.
CoRR, 2021

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020
A Simple and General Graph Neural Network with Stochastic Message Passing.
CoRR, 2020

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A Unified Framework for Community Detection and Network Representation Learning.
IEEE Trans. Knowl. Data Eng., 2019


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