Chen Ling - RankMe

53 papers A* 10A 5Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2025	J	`jnl`	A review on knowledge graphs for healthcare: Resources, applications, and promises. J. Biomed. Informatics Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang
2025	—	`conf`	GRAG: Graph Retrieval-Augmented Generation. NAACL (Findings) Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao
2025	A	`conf`	TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. CIKM Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao
2024	J	`jnl`	A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. CoRR Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao
2024	J	`jnl`	Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao
2024	J	`jnl`	Deep graph representation learning influence maximization with accelerated inference. Neural Networks Tanmoy Chowdhury, Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Liang Zhao
2024	—	`conf`	ELAD: Explanation-Guided Large Language Models Active Distillation. ACL (Findings) Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
2024	J	`jnl`	ELAD: Explanation-Guided Large Language Models Active Distillation. CoRR Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
2024	J	`jnl`	GRAG: Graph Retrieval-Augmented Generation. CoRR Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao
2024	J	`jnl`	Gene-associated Disease Discovery Powered by Large Language Models. CoRR Jiayu Chang, Shiyu Wang, Chen Ling, Zhaohui Qin, Liang Zhao
2024	J	`jnl`	Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. CoRR Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2024	A	`conf`	Helper Recommendation with seniority control in Online Health Community. SDM Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
2024	J	`jnl`	HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation. CoRR Yuntong Hu, Zhuofeng Li, Zheng Zhang, Chen Ling, Raasikh Kanjiani, Boxin Zhao, Liang Zhao
2024	J	`jnl`	Link Prediction on Textual Edge Graphs. CoRR Chen Ling, Zhuofeng Li, Yuntong Hu, Zheng Zhang, Zhongyuan Liu, Shuang Zheng, Liang Zhao
2024	A	`conf`	MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. AISTATS Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
2024	J	`jnl`	MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. CoRR Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
2024	J	`jnl`	Quantifying uncertainty in graph neural network explanations. Frontiers Big Data Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao
2024	A*	`conf`	Source Localization for Cross Network Information Diffusion. KDD Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
2024	J	`jnl`	Source Localization for Cross Network Information Diffusion. CoRR Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
2024	A*	`conf`	SparseLLM: Towards Global Pruning of Pre-trained Language Models. NeurIPS Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2024	J	`jnl`	TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. CoRR Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao
2024	A*	`conf`	TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. NeurIPS Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
2024	J	`jnl`	TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. CoRR Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
2024	J	`jnl`	Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024	—	`conf`	Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024	A*	`conf`	Zero-Shot Link Prediction in Knowledge Graphs with Large Language Models. ICDM Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao
2023	J	`jnl`	A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. CoRR Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce C. Ho, Fei Wang, Carl Yang
2023	J	`jnl`	Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao
2023	A*	`conf`	Deep Graph Representation Learning and Optimization for Influence Maximization. ICML Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao
2023	J	`jnl`	Deep Graph Representation Learning and Optimization for Influence Maximization. CoRR Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao
2023	J	`jnl`	Helper Recommendation with seniority control in Online Health Community. CoRR Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
2023	J	`jnl`	Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	J	`jnl`	Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
2023	J	`jnl`	Motif-guided heterogeneous graph deep generation. Knowl. Inf. Syst. Chen Ling, Carl Yang, Liang Zhao
2023	—	`conf`	Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	J	`jnl`	Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	A	`conf`	Saliency-Augmented Memory Completion for Continual Learning. SDM Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
2023	A*	`conf`	Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks. ICLR Guangji Bai, Chen Ling, Liang Zhao
2022	J	`jnl`	Deep Generation of Heterogeneous Networks. CoRR Chen Ling, Carl Yang, Liang Zhao
2022	A*	`conf`	DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022	J	`jnl`	DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022	—	`conf`	STGEN: Deep Continuous-Time Spatiotemporal Graph Generation. ECML/PKDD (3) Chen Ling, Hengning Cao, Liang Zhao
2022	J	`jnl`	Saliency-Augmented Memory Completion for Continual Learning. CoRR Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
2022	A*	`conf`	Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. KDD Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
2022	J	`jnl`	Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. CoRR Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
2021	A*	`conf`	Deep Generation of Heterogeneous Networks. ICDM Chen Ling, Carl Yang, Liang Zhao
2021	A	`conf`	On Forecasting Dynamics In Online Discussion Forums. ICME Chen Ling, Di Cui, Guangmo Tong, Jianming Zhu
2021	A*	`conf`	TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints. WWW Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser, Chen Ling
2020	—	`conf`	NesTPP: Modeling Thread Dynamics in Online Discussion Forums. HT Chen Ling, Guangmo Tong, Mozi Chen
2020	J	`jnl`	NesTPP: Modeling Thread Dynamics in Online Discussion Forums. CoRR Chen Ling, Guangmo Tong, Mozi Chen
2020	J	`jnl`	SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting. CoRR Chen Ling, Ruiqi Wang, Guangmo Tong
2020	J	`jnl`	Time-constrained Adaptive Influence Maximization. CoRR Guangmo Tong, Ruiqi Wang, Chen Ling, Zheng Dong, Xiang Li