Menglin Yang - RankMe

66 papers A* 15A 1Journal 45Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision-Language Models. AAAI Yongguang Li, Jindong Li, Qi Wang, Qianli Xing, Runliang Niu, Shengsheng Wang, Menglin Yang
2026	J	`jnl`	CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey. IEEE Trans. Pattern Anal. Mach. Intell. Jindong Li, Yongguang Li, Yali Fu, Jiahong Liu, Yixin Liu, Menglin Yang, Irwin King
2026	J	`jnl`	HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation. CoRR Hiren Madhu, Ngoc Bui, Ali Maatouk, Leandros Tassiulas, Smita Krishnaswamy, Menglin Yang, Sukanta Ganguly, Kiran Srinivasan, Rex Ying
2026	J	`jnl`	Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts. CoRR Buze Zhang, Jinkai Tao, Zilang Zeng, Neil He, Ali Maatouk, Menglin Yang, Rex Ying
2025	J	`jnl`	A Survey of Personalized Large Language Models: Progress and Future Directions. CoRR Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King
2025	J	`jnl`	AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning. CoRR Xuling Zhang, Jindong Li, Yifei Zhang, Menglin Yang
2025	J	`jnl`	CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey. CoRR Jindong Li, Yongguang Li, Yali Fu, Jiahong Liu, Yixin Liu, Menglin Yang, Irwin King
2025	J	`jnl`	Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation. CoRR Yanlong Li, Jindong Li, Qi Wang, Menglin Yang, He Kong, Shengsheng Wang
2025	J	`jnl`	Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey. CoRR Jindong Li, Yali Fu, Jiahong Liu, Linxiao Cao, Wei Ji, Menglin Yang, Irwin King, Ming-Hsuan Yang
2025	J	`jnl`	HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts. CoRR Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying
2025	J	`jnl`	HMamba: Hyperbolic Mamba for Sequential Recommendation. CoRR Qianru Zhang, Honggang Wen, Wei Yuan, Crystal Chen, Menglin Yang, Siu-Ming Yiu, Hongzhi Yin
2025	J	`jnl`	HOVER: Hyperbolic Video-Text Retrieval. IEEE Trans. Image Process. Jun Wen, Yufeng Chen, Ruiqi Shi, Wei Ji, Menglin Yang, Difei Gao, Junsong Yuan, Roger Zimmermann
2025	J	`jnl`	Hierarchical Graph Topic Modeling with Topic Tree-based Transformer. CoRR Delvin Ce Zhang, Menglin Yang, Xiaobao Wu, Jiasheng Zhang, Hady W. Lauw
2025	J	`jnl`	HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules. CoRR Neil He, Menglin Yang, Rex Ying
2025	—	`conf`	Hyperbolic Deep Learning for Foundation Models: A Survey. KDD (2) Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying
2025	J	`jnl`	Hyperbolic Deep Learning for Foundation Models: A Survey. CoRR Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying
2025	J	`jnl`	HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations. CoRR Linxiao Cao, Ruitao Wang, Jindong Li, Zhipeng Zhou, Menglin Yang
2025	J	`jnl`	Implicit Reasoning in Large Language Models: A Comprehensive Survey. CoRR Jindong Li, Yali Fu, Li Fan, Jiahong Liu, Yao Shu, Chengwei Qin, Menglin Yang, Irwin King, Rex Ying
2025	A*	`conf`	Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. ICML Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao
2025	J	`jnl`	Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. CoRR Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao
2025	—	`conf`	Lorentzian Residual Neural Networks. KDD (1) Neil He, Menglin Yang, Rex Ying
2025	J	`jnl`	Low-Rank Adaptation for Foundation Models: A Comprehensive Review. CoRR Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying
2025	J	`jnl`	Position: Beyond Euclidean - Foundation Models Should Embrace Non-Euclidean Geometries. CoRR Neil He, Jiahong Liu, Buze Zhang, Ngoc Bui, Ali Maatouk, Menglin Yang, Irwin King, Melanie Weber, Rex Ying
2025	J	`jnl`	Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering. CoRR Yongguang Li, Jindong Li, Qi Wang, Qianli Xing, Runliang Niu, Shengsheng Wang, Menglin Yang
2025	J	`jnl`	Self-Reflective Generation at Test Time. CoRR Jian Mu, Qixin Zhang, Zhiyong Wang, Menglin Yang, Shuang Qiu, Chengwei Qin, Zhongxiang Dai, Yao Shu
2025	J	`jnl`	Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models. CoRR Haotian Wu, Bo Xu, Yao Shu, Menglin Yang, Chengwei Qin
2025	—	`conf`	Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks. WWW (Companion Volume) Menglin Yang, Yifei Zhang, Jialin Chen, Melanie Weber, Rex Ying
2025	J	`jnl`	Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks. CoRR Menglin Yang, Yifei Zhang, Jialin Chen, Melanie Weber, Rex Ying
2025	A*	`conf`	Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space. CVPR Zelin Peng, Zhengqin Xu, Zhilin Zeng, Changsong Wen, Yu Huang, Menglin Yang, Feilong Tang, Wei Shen
2025	—	`conf`	Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. KDD (1) Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz
2024	A*	`conf`	DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. NeurIPS Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying
2024	J	`jnl`	DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. CoRR Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying
2024	J	`jnl`	Foundations and Frontiers of Graph Learning Theory. CoRR Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
2024	J	`jnl`	HARec: Hyperbolic Graph-LLM Alignment for Exploration and Exploitation in Recommender Systems. CoRR Qiyao Ma, Menglin Yang, Mingxuan Ju, Tong Zhao, Neil Shah, Rex Ying
2024	J	`jnl`	Hyperbolic Fine-tuning for Large Language Models. CoRR Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying
2024	J	`jnl`	Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
2024	A*	`conf`	Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. KDD Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
2024	J	`jnl`	Lorentzian Residual Neural Networks. CoRR Neil He, Menglin Yang, Rex Ying
2024	—	`conf`	Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges. WWW (Companion Volume) Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw
2023	A*	`conf`	Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King
2023	A*	`conf`	Hyperbolic Representation Learning: Revisiting and Advancing. ICML Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
2023	J	`jnl`	Hyperbolic Representation Learning: Revisiting and Advancing. CoRR Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
2023	J	`jnl`	Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. Menglin Yang, Min Zhou, Hui Xiong, Irwin King
2023	A*	`conf`	WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
2023	J	`jnl`	WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
2023	A*	`conf`	κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD Menglin Yang, Min Zhou, Lujia Pan, Irwin King
2022	A*	`conf`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022	J	`jnl`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022	A*	`conf`	Discovering Representative Attribute-stars via Minimum Description Length. ICDE Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
2022	J	`jnl`	Discovering Representative Attribute-stars via Minimum Description Length. CoRR Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
2022	J	`jnl`	Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. CoRR Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger
2022	A*	`conf`	HICF: Hyperbolic Informative Collaborative Filtering. KDD Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
2022	J	`jnl`	HICF: Hyperbolic Informative Collaborative Filtering. CoRR Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
2022	A*	`conf`	HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
2022	J	`jnl`	HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
2022	J	`jnl`	Hyperbolic Curvature Graph Neural Network. CoRR Menglin Yang, Min Zhou, Lujia Pan, Irwin King
2022	J	`jnl`	Hyperbolic Graph Neural Networks: A Review of Methods and Applications. CoRR Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King
2022	J	`jnl`	Hyperbolic Graph Representation Learning: A Tutorial. CoRR Min Zhou, Menglin Yang, Lujia Pan, Irwin King
2022	A	`conf`	Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
2022	J	`jnl`	TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. CoRR Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
2021	A*	`conf`	Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021	J	`jnl`	Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021	J	`jnl`	FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. CoRR Menglin Yang, Ziqiao Meng, Irwin King
2021	J	`jnl`	Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
2020	A*	`conf`	FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. ICDM Menglin Yang, Ziqiao Meng, Irwin King
2019	J	`jnl`	Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning. IET Image Process. Menglin Yang, Ding Li, Wensheng Zhang