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ORCIDChen Ling 0003
Person information
- affiliation: Emory University, Department of Computer Science, Atlanta, GA, USA
- affiliation: University of Delaware, Newark, DE, USA
Other persons with the same name
- Chen Ling — disambiguation page
- Chen Ling 0001 — Hangzhou Dianzi University, Department of Mathematics, China (and 1 more)
- Chen Ling 0002 — University of Akron, Department of Mechanical Engineering, OH, USA (and 1 more)
- Chen Ling 0004
![[0000-0001-5082-7557]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5082-7557")
(aka: Cici Ling) — Indiana University, Bloomington, IN, USA - Chen Ling 0005 — Texas A&M University, College Station, TX, USA
- Chen Ling 0006 — Harbin Institute of Technology, Harbin, China
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2020 – today
- 2024
[j3]Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao:
Quantifying uncertainty in graph neural network explanations. Frontiers Big Data 7 (2024)- [j2]Tanmoy Chowdhury, Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Liang Zhao:
Deep graph representation learning influence maximization with accelerated inference. Neural Networks 180: 106649 (2024) - [c18]Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao:
ELAD: Explanation-Guided Large Language Models Active Distillation. ACL (Findings) 2024: 4463-4475 - [c17]Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai:
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. AISTATS 2024: 2296-2304 - [c16]Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao:
Source Localization for Cross Network Information Diffusion. KDD 2024: 5419-5429 - [c15]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:
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT 2024: 3357-3370 - [c14]Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao:
SparseLLM: Towards Global Pruning of Pre-trained Language Models. NeurIPS 2024 - [c13]Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao:
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. NeurIPS 2024 - [c12]Junruo Gao, Chen Ling, Carl Yang, Liang Zhao:
Helper Recommendation with seniority control in Online Health Community. SDM 2024: 253-261 - [i27]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:
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR abs/2401.00625 (2024) - [i26]Jiayu Chang, Shiyu Wang, Chen Ling, Zhaohui Qin, Liang Zhao:
Gene-associated Disease Discovery Powered by Large Language Models. CoRR abs/2401.09490 (2024) - [i25]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:
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR abs/2402.10189 (2024) - [i24]Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao:
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. CoRR abs/2402.10779 (2024) - [i23]Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao:
ELAD: Explanation-Guided Large Language Models Active Distillation. CoRR abs/2402.13098 (2024) - [i22]Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai:
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. CoRR abs/2402.16898 (2024) - [i21]Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao:
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. CoRR abs/2402.17946 (2024) - [i20]Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao:
Source Localization for Cross Network Information Diffusion. CoRR abs/2404.14668 (2024) - [i19]Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao:
GRAG: Graph Retrieval-Augmented Generation. CoRR abs/2405.16506 (2024) - [i18]Chen Ling, Zhuofeng Li, Yuntong Hu, Zheng Zhang, Zhongyuan Liu, Shuang Zheng, Liang Zhao:
Link Prediction on Textual Edge Graphs. CoRR abs/2405.16606 (2024) - [i17]Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao:
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. CoRR abs/2405.16800 (2024) - [i16]Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao:
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. CoRR abs/2406.10310 (2024) - [i15]Yuntong Hu, Zhuofeng Li, Zheng Zhang, Chen Ling, Raasikh Kanjiani, Boxin Zhao, Liang Zhao:
HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation. CoRR abs/2410.03761 (2024) - 2023
- [j1]Chen Ling, Carl Yang, Liang Zhao:
Motif-guided heterogeneous graph deep generation. Knowl. Inf. Syst. 65(7): 3099-3124 (2023) - [c11]Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) 2023: 8035-8047 - [c10]Guangji Bai, Chen Ling, Liang Zhao:
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks. ICLR 2023 - [c9]Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao:
Deep Graph Representation Learning and Optimization for Influence Maximization. ICML 2023: 21350-21361 - [c8]Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao:
Saliency-Augmented Memory Completion for Continual Learning. SDM 2023: 244-252 - [i14]Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao:
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR abs/2302.02093 (2023) - [i13]Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao:
Deep Graph Representation Learning and Optimization for Influence Maximization. CoRR abs/2305.02200 (2023) - [i12]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:
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR abs/2305.18703 (2023) - [i11]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:
A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. CoRR abs/2306.04802 (2023) - [i10]Junruo Gao, Chen Ling, Carl Yang, Liang Zhao:
Helper Recommendation with seniority control in Online Health Community. CoRR abs/2309.02978 (2023) - [i9]Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR abs/2309.03433 (2023) - [i8]Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR abs/2310.11672 (2023) - 2022
- [c7]Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM 2022: 1065-1070 - [c6]Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao:
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. KDD 2022: 1010-1020 - [c5]Chen Ling, Hengning Cao, Liang Zhao:
STGEN: Deep Continuous-Time Spatiotemporal Graph Generation. ECML/PKDD (3) 2022: 340-356 - [i7]Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao:
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. CoRR abs/2206.12327 (2022) - [i6]Chen Ling, Carl Yang, Liang Zhao:
Deep Generation of Heterogeneous Networks. CoRR abs/2206.12336 (2022) - [i5]Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR abs/2211.10821 (2022) - [i4]Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao:
Saliency-Augmented Memory Completion for Continual Learning. CoRR abs/2212.13242 (2022) - 2021
- [c4]Chen Ling, Carl Yang, Liang Zhao:
Deep Generation of Heterogeneous Networks. ICDM 2021: 379-388 - [c3]Chen Ling, Di Cui, Guangmo Tong, Jianming Zhu:
On Forecasting Dynamics In Online Discussion Forums. ICME 2021: 1-6 - [c2]Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser, Chen Ling:
TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints. WWW 2021: 2104-2116 - 2020
- [c1]Chen Ling, Guangmo Tong, Mozi Chen:
NesTPP: Modeling Thread Dynamics in Online Discussion Forums. HT 2020: 251-260 - [i3]Guangmo Tong, Ruiqi Wang, Chen Ling, Zheng Dong, Xiang Li:
Time-constrained Adaptive Influence Maximization. CoRR abs/2001.01742 (2020) - [i2]Chen Ling, Guangmo Tong, Mozi Chen:
NesTPP: Modeling Thread Dynamics in Online Discussion Forums. CoRR abs/2003.06051 (2020) - [i1]Chen Ling, Ruiqi Wang, Guangmo Tong:
SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting. CoRR abs/2003.07189 (2020)
Coauthor Index
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