Menglin Yang

According to our database, Menglin Yang authored at least 55 papers between 2019 and 2026.

Collaborative distances:

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

2026

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey.

Jindong Li, Yongguang Li, Yali Fu, Jiahong Liu, Yixin Liu, Menglin Yang, Irwin King

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking.

Jindong Li, Ying Liu, Yali Fu, Jinjing Zhu, Leyao Wang, Menglin Yang, Rex Ying

CoRR, May, 2026

Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts.

Buze Zhang, Jinkai Tao, Zilang Zeng, Neil He, Ali Maatouk, Menglin Yang, Rex Ying

CoRR, February, 2026

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation.

Hiren Madhu, Ngoc Bui, Ali Maatouk, Leandros Tassiulas, Smita Krishnaswamy, Menglin Yang, Sukanta Ganguly, Kiran Srinivasan, Rex Ying

CoRR, February, 2026

HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents.

Jinchang Zhu, Jindong Li, Cheng Zhang, Jiahong Liu, Menglin Yang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Self-Reflective Generation at Test Time.

Jian Mu, Qixin Zhang, Zhiyong Wang, Menglin Yang, Shuang Qiu, Chengwei Qin, Zhongxiang Dai, Yao Shu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision-Language Models.

Yongguang Li, Jindong Li, Qi Wang, Qianli Xing, Runliang Niu, Shengsheng Wang, Menglin Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning.

Xuling Zhang, Jindong Li, Yifei Zhang, Menglin Yang

CoRR, December, 2025

HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations.

Linxiao Cao, Ruitao Wang, Jindong Li, Zhipeng Zhou, Menglin Yang

CoRR, November, 2025

Implicit Reasoning in Large Language Models: A Comprehensive Survey.

Jindong Li, Yali Fu, Li Fan, Jiahong Liu, Yao Shu, Chengwei Qin, Menglin Yang, Irwin King, Rex Ying

CoRR, September, 2025

Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models.

Haotian Wu, Bo Xu, Yao Shu, Menglin Yang, Chengwei Qin

CoRR, August, 2025

Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey.

Jindong Li, Yali Fu, Jiahong Liu, Linxiao Cao, Wei Ji, Menglin Yang, Irwin King, Ming-Hsuan Yang

CoRR, July, 2025

HMamba: Hyperbolic Mamba for Sequential Recommendation.

Qianru Zhang, Honggang Wen, Wei Yuan, Crystal Chen, Menglin Yang, Siu-Ming Yiu, Hongzhi Yin

CoRR, May, 2025

Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering.

Yongguang Li, Jindong Li, Qi Wang, Qianli Xing, Runliang Niu, Shengsheng Wang, Menglin Yang

CoRR, April, 2025

HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules.

Neil He, Menglin Yang, Rex Ying

CoRR, April, 2025

Position: Beyond Euclidean - Foundation Models Should Embrace Non-Euclidean Geometries.

Neil He, Jiahong Liu, Buze Zhang, Ngoc Bui, Ali Maatouk, Menglin Yang, Irwin King, Melanie Weber, Rex Ying

CoRR, April, 2025

A Survey of Personalized Large Language Models: Progress and Future Directions.

Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King

CoRR, February, 2025

Hierarchical Graph Topic Modeling with Topic Tree-based Transformer.

Delvin Ce Zhang, Menglin Yang, Xiaobao Wu, Jiasheng Zhang, Hady W. Lauw

CoRR, February, 2025

Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation.

Yanlong Li, Jindong Li, Qi Wang, Menglin Yang, He Kong, Shengsheng Wang

CoRR, January, 2025

Low-Rank Adaptation for Foundation Models: A Comprehensive Review.

Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying

CoRR, January, 2025

HOVER: Hyperbolic Video-Text Retrieval.

Jun Wen, Yufeng Chen, Ruiqi Shi, Wei Ji, Menglin Yang, Difei Gao, Junsong Yuan, Roger Zimmermann

IEEE Trans. Image Process., 2025

Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks.

Menglin Yang, Yifei Zhang, Jialin Chen, Melanie Weber, Rex Ying

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Geometric Imbalance in Semi-Supervised Node Classification.

Liang Yan, Shengzhong Zhang, Bisheng Li, Menglin Yang, Chen Yang, Min Zhou, Weiyang Ding, Yutong Xie, Zengfeng Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts.

Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning.

Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Hyperbolic Deep Learning for Foundation Models: A Survey.

Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Lorentzian Residual Neural Networks.

Neil He, Menglin Yang, Rex Ying

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning.

Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao

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

Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space.

Zelin Peng, Zhengqin Xu, Zhilin Zeng, Changsong Wen, Yu Huang, Menglin Yang, Feilong Tang, Wei Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

HARec: Hyperbolic Graph-LLM Alignment for Exploration and Exploitation in Recommender Systems.

Qiyao Ma, Menglin Yang, Mingxuan Ju, Tong Zhao, Neil Shah, Rex Ying

CoRR, 2024

Hyperbolic Fine-tuning for Large Language Models.

Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying

CoRR, 2024

Foundations and Frontiers of Graph Learning Theory.

Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen

CoRR, 2024

Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space.

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

CoRR, 2024

Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges.

Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs.

Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space.

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Hyperbolic Temporal Network Embedding.

Menglin Yang, Min Zhou, Hui Xiong, Irwin King

IEEE Trans. Knowl. Data Eng., November, 2023

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering.

Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications.

Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hyperbolic Representation Learning: Revisiting and Advancing.

Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King

Proceedings of the International Conference on Machine Learning, 2023

2022

Hyperbolic Curvature Graph Neural Network.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

CoRR, 2022

Hyperbolic Graph Representation Learning: A Tutorial.

Min Zhou, Menglin Yang, Lujia Pan, Irwin King

CoRR, 2022

TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction.

Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan

CoRR, 2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications.

Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.

Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger

CoRR, 2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.

Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.

Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.

Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang

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

HICF: Hyperbolic Informative Collaborative Filtering.

Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

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

Discovering Representative Attribute-stars via Minimum Description Length.

Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Modeling Scale-free Graphs for Knowledge-aware Recommendation.

Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King

CoRR, 2021

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.

Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding.

Menglin Yang, Ziqiao Meng, Irwin King

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning.

Menglin Yang, Ding Li, Wensheng Zhang

IET Image Process., 2019