Guang-Neng Hu

According to our database, Guang-Neng Hu authored at least 23 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Integrating implicit desire fusion for proactive conversational recommendation systems with LLMs.

Sitong Yan, Shengli Song, Chengen Lai, Jingyang Li, Guangneng Hu

Inf. Fusion, 2026

Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models.

Yuzheng Tan, Yuan He, Yao Zhu, Tianlin Huo, Huanqian Yan, Hang Su, Shuxin Zhang, Guangneng Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

The Mental World of Large Language Models in Recommendation: A Benchmark on Association, Personalization, and Knowledgeability.

Guangneng Hu

CoRR, December, 2025

Advanced dialog state tracking with noetic graphs for complex human-machine interactions.

Jingyang Li, Shengli Song, Sitong Yan, Guangneng Hu, Chengen Lai, Yulong Zhou

Pattern Recognit., 2025

SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning.

Jinpeng Chen, Runmin Cong, Yuzhi Zhao, Hongzheng Yang, Guangneng Hu, Horace H. S. Ip, Sam Kwong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation.

Mengyang Wu, Yuzhi Zhao, Jialun Cao, Mingjie Xu, Zhongming Jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, Chi-Wing Fu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DANTE: Dialog graph enhanced prompt learning for conversational question answering over KGs.

Jingyang Li, Shengli Song, Sitong Yan, Guangneng Hu, Chengen Lai, Yulong Zhou

Knowl. Based Syst., 2024

ChatMDG: A discourse parsing graph fusion based approach for multi-party dialogue generation.

Jingyang Li, Shengli Song, Yixin Li, Hanxiao Zhang, Guangneng Hu

Inf. Fusion, 2024

Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples.

Chengen Lai, Shengli Song, Sitong Yan, Guangneng Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

MAMO: Multi-Task Architecture Learning via Multi-Objective and Gradients Mediative Kernel.

Yuzheng Tan, Guangneng Hu, Shuxin Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA.

Chengen Lai, Shengli Song, Shiqi Meng, Jingyang Li, Sitong Yan, Guangneng Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions.

Sitong Yan, Shengli Song, Jingyang Li, Shiqi Meng, Guangneng Hu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

Dual Side Deep Context-aware Modulation for Social Recommendation.

Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang, Jiajun Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021

TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation.

Guangneng Hu, Qiang Yang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation.

Guangneng Hu, Qiang Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text.

Guangneng Hu, Yu Zhang, Qiang Yang

Proceedings of the World Wide Web Conference, 2019

Personalized Neural Embeddings for Collaborative Filtering with Text.

Guangneng Hu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback.

Guang-Neng Hu, Xinyu Dai, Feng-Yu Qiu, Rui Xia, Tao Li, Shujian Huang, Jiajun Chen

ACM Trans. Knowl. Discov. Data, 2018

LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text.

Guangneng Hu, Yu Zhang, Qiang Yang

CoRR, 2018

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.

Guangneng Hu, Yu Zhang, Qiang Yang

Proceedings of the 1st Workshop on Knowledge Discovery and User Modelling for Smart Cities co-located with 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2018

2017

Integrating Reviews into Personalized Ranking for Cold Start Recommendation.

Guang-Neng Hu

CoRR, 2017

Integrating Reviews into Personalized Ranking for Cold Start Recommendation.

Guang-Neng Hu, Xinyu Dai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2015

A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews.

Guang-Neng Hu, Xin-Yu Dai, Yunya Song, Shujian Huang, Jiajun Chen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015