Zhongyu Ouyang

According to our database, Zhongyu Ouyang authored at least 20 papers between 2022 and 2025.

Collaborative distances:

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

2025

Non-parametric Graph Convolution for Re-ranking in Recommendation Systems.

Zhongyu Ouyang, Mingxuan Ju, Soroush Vosoughi, Yanfang Ye

CoRR, July, 2025

SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models.

Xingjian Diao, Chunhui Zhang, Keyi Kong, Weiyi Wu, Chiyu Ma, Zhongyu Ouyang, Peijun Qing, Soroush Vosoughi, Jiang Gui

CoRR, June, 2025

Towards Human-like Preference Profiling in Sequential Recommendation.

Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang, Yanfang Ye, Soroush Vosoughi

CoRR, June, 2025

Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner.

Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo

CoRR, June, 2025

Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMs.

Wenhao You, Xingjian Diao, Chunhui Zhang, Keyi Kong, Weiyi Wu, Zhongyu Ouyang, Chiyu Ma, Tingxuan Wu, Noah Wei, Zong Ke, Ming Cheng, Soroush Vosoughi, Jiang Gui

CoRR, May, 2025

Pretrained Image-Text Models are Secretly Video Captioners.

Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding.

Xingjian Diao, Chunhui Zhang, Weiyi Wu, Zhongyu Ouyang, Peijun Qing, Ming Cheng, Soroush Vosoughi, Jiang Gui

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Scaled Supervision is an Implicit Lipschitz Regularizer.

Zhongyu Ouyang, Chunhui Zhang, Yaning Jia, Soroush Vosoughi

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

Growing Through Experience: Scaling Episodic Grounding in Language Models.

Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, Xiangchi Yuan, Soroush Vosoughi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Visibility as Survival: Generalizing NLP for Native Alaskan Language Identification.

Ivory Yang, Chunhui Zhang, Yuxin Wang, Zhongyu Ouyang, Soroush Vosoughi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning.

Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Chuxu Zhang, Yanfang Ye

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Symbolic Prompt Tuning Completes the App Promotion Graph.

Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?

Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble.

Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Working Memory Identifies Reasoning Limits in Language Models.

Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning Musical Representations for Music Performance Question Answering.

Xingjian Diao, Chunhui Zhang, Tingxuan Wu, Ming Cheng, Zhongyu Ouyang, Weiyi Wu, Jiang Gui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations.

Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning.

Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

CoRR, 2022

Adversarial Cross-View Disentangled Graph Contrastive Learning.

Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

CoRR, 2022

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction.

Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022