Chen, Ling

49 publications

ICLR 2026 Beyond Entity Correlations: Disentangling Event Causal Puzzles in Temporal Knowledge Graphs Qian Chen, Jinyu Zhang, Ling Chen

ICLR 2026 Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection Yongxin Deng, Zhen Fang, Sharon Li, Ling Chen

ICLR 2026 Delving into Spectral Clustering with Vision-Language Representations Bo Peng, Yuanwei Hu, Bo Liu, Ling Chen, Jie Lu, Zhen Fang

ICLR 2026 Explainable LLM Unlearning Through Reasoning Junfeng Liao, Qizhou Wang, Shanshan Ye, Xin Yu, Ling Chen, Zhen Fang

ICLR 2026 Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis Zongjiang Shang, Dongliang Cui, Binqing Wu, Ling Chen

NeurIPS 2025 Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes Wei Wu, Xuan Tan, Yan Peng, Ling Chen, FangFang Li, Chuan Luo

ICLR 2025 Monte Carlo Planning with Large Language Model for Text-Based Game Agents Zijing Shi, Meng Fang, Ling Chen

IJCAI 2025 Zero-Shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang

NeurIPS 2024 Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting Zongjiang Shang, Ling Chen, Binqing Wu, Dongliang Cui

NeurIPS 2024 DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach Qian Chen, Ling Chen

WACV 2024 Disentangled Pre-Training for Image Matting Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao

AAAI 2024 Human-Guided Moral Decision Making in Text-Based Games Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang

AAAI 2024 Large Language Models Are Neurosymbolic Reasoners Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang

ECCV 2024 Learning with Counterfactual Explanations for Radiology Report Generation Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang

ECML-PKDD 2024 Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang

NeurIPS 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu

IJCAI 2024 WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen

NeurIPS 2023 Global-Correlated 3D-Decoupling Transformer for Clothed Avatar Reconstruction Zechuan Zhang, Li Sun, Zongxin Yang, Ling Chen, Yi Yang

ECML-PKDD 2023 Graph-Level Anomaly Detection via Hierarchical Memory Networks Chaoxi Niu, Guansong Pang, Ling Chen

AAAI 2023 Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views Sha Zhao, Yongrui Huang, Ling Chen, Chunping Wang, Shijian Li, Lei Chen, Gang Pan

ICCV 2023 SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-Trained Model Gengwei Zhang, Liyuan Wang, Guoliang Kang, Ling Chen, Yunchao Wei

AAAI 2023 SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang

AAAI 2023 Semi-Supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

ICLR 2023 Stay Moral and Explore: Learn to Behave Morally in Text-Based Games Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du

NeurIPS 2022 Mask Matching Transformer for Few-Shot Segmentation Siyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Humphrey Shi

MLJ 2022 Smoothing Graphons for Modelling Exchangeable Relational Data Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

ICLR 2022 Towards Deepening Graph Neural Networks: A GNTK-Based Optimization Perspective Wei Huang, Yayong Li, Weitao Du, Richard Xu, Jie Yin, Ling Chen, Miao Zhang

ICCV 2021 A Multi-Mode Modulator for Multi-Domain Few-Shot Classification Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang

ECML-PKDD 2021 Decoupling Sparsity and Smoothness in Dirichlet Belief Networks Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

NeurIPS 2020 Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-Based Games Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang

IJCAI 2020 Discrete Embedding for Latent Networks Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang

AAAI 2020 Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng

IJCAI 2020 Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson

ICLR 2020 Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao

AAAI 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang

IJCAI 2019 Low-Bit Quantization for Attributed Network Representation Learning Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang

NeurIPS 2019 Scalable Deep Generative Relational Model with High-Order Node Dependence Xuhui Fan, Bin Li, Caoyuan Li, Scott SIsson, Ling Chen

IJCAI 2018 Efficient Attributed Network Embedding via Recursive Randomized Hashing Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

AAAI 2018 Search Action Sequence Modeling with Long Short-Term Memory for Search Task Success Evaluation Alin Fan, Ling Chen, Gencai Chen

AAAI 2018 Semi-Supervised Bayesian Attribute Learning for Person Re-Identification Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang

AAAI 2018 Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu

ECML-PKDD 2017 Early Active Learning with Pairwise Constraint for Person Re-Identification Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang

IJCAI 2017 Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

ECML-PKDD 2016 On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent Bo Han, Ivor W. Tsang, Ling Chen

IJCAI 2016 Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings Guansong Pang, Longbing Cao, Ling Chen

AAAI 2013 WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus Ding Tu, Ling Chen, Gencai Chen

ECCV 2012 Constrained Clustering with Local Constraint Propagation Ping He, Xiao-hua Xu, Ling Chen

ECCVW 2012 Constrained Clustering with Local Constraint Propagation Ping He, Xiao-hua Xu, Ling Chen

AAAI 2012 Mining Context-Aware Significant Travel Sequences from Geotagged Social Media Abdul Majid, Ling Chen, Hamid Turab Mirza, Ibrar Hussain, Gencai Chen