Ling Chen

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 81

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

IJCAI

IEEE Trans. Neural Networks Learn. Syst.

Publications

Wanqi Yang, Yunqiu Xu, Yanda Li, Kunze Wang, Binbin Huang, Ling Chen
Continual Learning for Temporal-Sensitive Question Answering. CoRR (2024)
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
Test-Time Training for Spatial-Temporal Forecasting. SDM (2024)
Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. CoRR (2024)
Yanda Li, Chi Zhang, Gang Yu, Wanqi Yang, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei
Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. ACL (Findings) (2024)
Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy
More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation. ACL (Findings) (2024)
Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. CoRR (2024)
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
CITB: A Benchmark for Continual Instruction Tuning. EMNLP (Findings) (2023)
Hexuan Weng, Yanbin Liu, Ling Chen
Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City. AI (1) (2023)
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. CoRR (2023)
Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. ACL (1) (2023)
Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du
Stay Moral and Explore: Learn to Behave Morally in Text-based Games. ICLR (2023)
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Zijing Shi, Yunqiu Xu, Meng Fang, Ling Chen
Self-imitation Learning for Action Generation in Text-based Games. EACL (2023)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE (2023)
Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. CoRR (2023)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang
Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics 56 (2023)
Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang
Discrete embedding for attributed graphs. Pattern Recognit. 123 (2022)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Smoothing graphons for modelling exchangeable relational data. Mach. Learn. 111 (1) (2022)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. 52 (10) (2022)
Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
Privacy-Preserving Stochastic Gradual Learning. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) (2021)
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
Discrete Embedding for Latent Networks. IJCAI (2020)
Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. 11 (2) (2020)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. CoRR (2020)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Smoothing Graphons for Modelling Exchangeable Relational Data. CoRR (2020)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR (2020)
Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou
Personalized Video Recommendation Using Rich Contents from Videos. IEEE Trans. Knowl. Data Eng. 32 (3) (2020)
Yunqiu Xu, Ling Chen, Meng Fang, Yang Wang, Chengqi Zhang
Deep Reinforcement Learning with Transformers for Text Adventure Games. CoG (2020)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS (2020)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. IJCAI (2020)
Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen
What Can History Tell Us? CIKM (2019)
Yaqing Wang, Chunyan Feng, Ling Chen, Hongzhi Yin, Caili Guo, Yunfei Chu
User identity linkage across social networks via linked heterogeneous network embedding. World Wide Web 22 (6) (2019)
Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang
Low-Bit Quantization for Attributed Network Representation Learning. IJCAI (2019)
Bozhong Liu, Ling Chen, Xingquan Zhu, Weidong Qiu
Encrypted data indexing for the secure outsourcing of spectral clustering. Knowl. Inf. Syst. 60 (3) (2019)
Xuhui Fan, Bin Li, Caoyuan Li, Scott Sisson, Ling Chen
Scalable Deep Generative Relational Model with High-Order Node Dependence. NeurIPS (2019)
Bo Han, Ivor W. Tsang, Ling Chen, Joey Tianyi Zhou, Celina Ping Yu
Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 30 (12) (2019)
Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. AAAI (2019)
Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Ling Chen
Enumerating k-Vertex Connected Components in Large Graphs. ICDE (2019)
Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie
Discrete Multi-Graph Clustering. IEEE Trans. Image Process. 28 (9) (2019)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Kun Zhan, Xiaojun Chang, Junpeng Guan, Ling Chen, Zhigang Ma, Yi Yang
Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. IEEE Trans. Cybern. 49 (5) (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen
Scalable Deep Generative Relational Models with High-Order Node Dependence. CoRR (2019)
Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
Privacy-preserving Stochastic Gradual Learning. CoRR (2018)
Bo Han, Ivor W. Tsang, Ling Chen, Celina Ping Yu, Sai-Fu Fung
Progressive Stochastic Learning for Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms. CoRR (2018)
Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
Binarized attributed network embedding. ICDM (2018)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Efficient Attributed Network Embedding via Recursive Randomized Hashing. IJCAI (2018)
Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang
Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. AAAI (2018)
Chunyang Liu, Ling Chen, Ivor W. Tsang, Hongzhi Yin
Towards the Learning of Weighted Multi-label Associative Classifiers. IJCNN (2018)
Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu
ASTM: An Attentional Segmentation Based Topic Model for Short Texts. ICDM (2018)
Wei Wu, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
K-Ary Tree Hashing for Fast Graph Classification. IEEE Trans. Knowl. Data Eng. 30 (5) (2018)
Lianhua Chi, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen
Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts. IEEE Trans. Cybern. 48 (5) (2018)
Pingbo Pan, Jiashi Feng, Ling Chen, Yi Yang
Online compressed robust PCA. IJCNN (2017)
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. ACM Trans. Intell. Syst. Technol. 8 (3) (2017)
Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen
Towards large-scale social networks with online diffusion provenance detection. Comput. Networks 114 (2017)
Hongzhi Yin, Weiqing Wang, Hao Wang, Ling Chen, Xiaofang Zhou
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation. IEEE Trans. Knowl. Data Eng. 29 (11) (2017)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
Improved Consistent Weighted Sampling Revisited. CoRR (2017)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Consistent Weighted Sampling Made More Practical. WWW (2017)
Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Bozhong Liu, Ling Chen, Xingquan Zhu, Ying Zhang, Chengqi Zhang, Weidong Qiu
Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data. EDBT (2017)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. ICDM (2016)
Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou
Exploiting Rich Contents for Personalized Video Recommendation. CoRR (2016)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Cross-View Feature Hashing for Image Retrieval. PAKDD (1) (2016)
Kaisong Song, Ling Chen, Wei Gao, Shi Feng, Daling Wang, Chengqi Zhang
PerSentiment: A Personalized Sentiment Classification System for Microblog Users. WWW (Companion Volume) (2016)
Bo Han, Ivor W. Tsang, Ling Chen
On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent. ECML/PKDD (1) (2016)
Bo Han, Ivor W. Tsang, Ling Chen
On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent. CoRR (2016)
Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang, Weidong Qiu
Mining Co-locations from Continuously Distributed Uncertain Spatial Data. APWeb (1) (2016)
Kaisong Song, Wei Gao, Ling Chen, Shi Feng, Daling Wang, Chengqi Zhang
Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization. SIGIR (2016)
Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
Memetic Extreme Learning Machine. Pattern Recognit. 58 (2016)
Weiqing Wang, Hongzhi Yin, Shazia Wasim Sadiq, Ling Chen, Min Xie, Xiaofang Zhou
SPORE: A sequential personalized spatial item recommender system. ICDE (2016)
Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou
Dynamic User Modeling in Social Media Systems. ACM Trans. Inf. Syst. 33 (3) (2015)
Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang
Defragging Subgraph Features for Graph Classification. CIKM (2015)
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia W. Sadiq, Xiaofang Zhou
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. CoRR (2015)
Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ling Chen, Chengqi Zhang
Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph. HT (2015)
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. KDD (2015)
Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang
SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC (2015)
Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang, Weidong Qiu
RCP Mining: Towards the Summarization of Spatial Co-location Patterns. SSTD (2015)
Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang
Online diffusion source detection in social networks. IJCNN (2015)
Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang
Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data 9 (3) (2015)
Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang
A temporal context-aware model for user behavior modeling in social media systems. SIGMOD Conference (2014)
Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen
LCARS: A Spatial Item Recommender System. ACM Trans. Inf. Syst. 32 (3) (2014)
Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen
LCARS: a location-content-aware recommender system. KDD (2013)
Li Wan, Ling Chen, Chengqi Zhang
Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. ICDM (2013)
Chunyang Liu, Ling Chen, Chengqi Zhang
Summarizing probabilistic frequent patterns: a fast approach. KDD (2013)
Jie Tang, Ling Chen, Irwin King, Jianyong Wang
Introduction to Special section on Large-scale Data Mining. Data Knowl. Eng. 87 (2013)
Ling Chen, Chunyang Liu, Chengqi Zhang
Mining Probabilistic Representative Frequent Patterns From Uncertain Data. SDM (2013)
Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
Noisy but non-malicious user detection in social recommender systems. World Wide Web 16 (5-6) (2013)
Li Wan, Ling Chen, Chengqi Zhang
Mining frequent serial episodes over uncertain sequence data. EDBT (2013)
Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang
TCSST: transfer classification of short & sparse text using external data. CIKM (2012)
Ling Chen, Chengqi Zhang
Semi-supervised Variable Weighting for Clustering. SDM (2011)
Jun Liu, Sha Sha, Qinghua Zheng, Ling Chen
Ranking Difficulty of Knowledge Units Based on Learning Dependency. ICEBE (2010)
Ling Chen, Sourav S. Bhowmick, Wolfgang Nejdl
COWES: Web user clustering based on evolutionary web sessions. Data Knowl. Eng. 68 (10) (2009)
Ling Chen, Sourav S. Bhowmick
In the Search of NECTARs from Evolutionary Trees. DASFAA (2009)
Ling Chen, Sourav S. Bhowmick, Wolfgang Nejdl
NEAR-Miner: Mining Evolution Associations of Web Site Directories for Efficient Maintenance of Web Archives. Proc. VLDB Endow. 2 (1) (2009)
Ling Chen, Phillip Wright, Wolfgang Nejdl
Improving music genre classification using collaborative tagging data. WSDM (2009)
Ralf Krestel, Ling Chen
The Art of Tagging: Measuring the Quality of Tags. ASWC (2008)
Ling Chen, Yiqun Hu, Wolfgang Nejdl
Using subspace analysis for event detection from web click-through data. WWW (2008)
Ling Chen, Yiqun Hu, Wolfgang Nejdl
DECK: Detecting Events from Web Click-Through Data. ICDM (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ling Chen