Mining Maximal Frequently Changing Subtree Patterns from XML Documents. - Ling Chen 006; Sourav S. Bhowmick; Liang-Tien Chia (DaWaK, 2004)

VRules: an effective association-based classifier for videos. - Ling Chen 006; Sourav S. Bhowmick; Liang-Tien Chia (MMDB, 2004)

Mining Association Rules from Structural Deltas of Historical XML Documents. - Ling Chen 006; Sourav S. Bhowmick; Liang-Tien Chia (PAKDD, 2004)

Mining Positive and Negative Association Rules from XML Query Patterns for Caching. - Ling Chen 006; Sourav S. Bhowmick; Liang-Tien Chia (DASFAA, 2005)

COWES: Clustering Web Users Based on Historical Web Sessions. - Ling Chen 006; Sourav S. Bhowmick; Jinyan Li 001 (DASFAA, 2006)

Mining Temporal Indirect Associations. - Ling Chen 006; Sourav S. Bhowmick; Jinyan Li 001 (PAKDD, 2006)

FRACTURE mining: Mining frequently and concurrently mutating structures from historical XML documents. - Ling Chen 006; Sourav S. Bhowmick; Liang-Tien Chia (Data Knowl. Eng., 2006)

XML structural delta mining: Issues and challenges. - Qiankun Zhao; Ling Chen 006; Sourav S. Bhowmick; Sanjay Madria (Data Knowl. Eng., 2006)

Discovering information diffusion paths from blogosphere for online advertising. - Avaré Stewart; Ling Chen 006; Raluca Paiu; Wolfgang Nejdl (AdKDD@KDD, 2007)

Mirror site maintenance based on evolution associations of web directories. - Ling Chen 006; Sourav S. Bhowmick; Wolfgang Nejdl (WWW, 2007)

Discovering association rules from structural evolution of tree structured web data - Ling Chen 006 (2007)

The Art of Tagging: Measuring the Quality of Tags. - Ralf Krestel; Ling Chen 006 (ASWC, 2008)

DECK: Detecting Events from Web Click-Through Data. - Ling Chen 006; Yiqun Hu; Wolfgang Nejdl (ICDM, 2008)

PHAROS - Personalizing Users' Experience in Audio-Visual Online Spaces. - Raluca Paiu; Ling Chen 006; Claudiu S. Firan; Wolfgang Nejdl (PersDB, 2008)

Using subspace analysis for event detection from web click-through data. - Ling Chen 006; Yiqun Hu; Wolfgang Nejdl (WWW, 2008)

Event detection from flickr data through wavelet-based spatial analysis. - Ling Chen 006; Abhishek Roy 008 (CIKM, 2009)

In the Search of NECTARs from Evolutionary Trees. - Ling Chen 006; Sourav S. Bhowmick (DASFAA, 2009)

Improving music genre classification using collaborative tagging data. - Ling Chen 006; Phillip Wright; Wolfgang Nejdl (WSDM, 2009)

COWES: Web user clustering based on evolutionary web sessions. - Ling Chen 006; Sourav S. Bhowmick; Wolfgang Nejdl (Data Knowl. Eng., 2009)

NEAR-Miner: Mining Evolution Associations of Web Site Directories for Efficient Maintenance of Web Archives. - Ling Chen 006; Sourav S. Bhowmick; Wolfgang Nejdl (Proc. VLDB Endow., 2009)

A Refinement Approach to Handling Model Misfit in Semi-supervised Learning. - Hanjing Su; Ling Chen 006; Yunming Ye; Zhaocai Sun; Qingyao Wu (ADMA (2), 2010)

Ranking Difficulty of Knowledge Units Based on Learning Dependency. - Jun Liu 002; Sha Sha; Qinghua Zheng; Ling Chen 006 (ICEBE, 2010)

Adaptive local hyperplanes for MTV affective analysis. - Min Xu 001; Ling Chen 006; Xiangjian He; Changsheng Xu; Jesse S. Jin (ICIMCS, 2010)

XStreamCluster: An Efficient Algorithm for Streaming XML Data Clustering. - Odysseas Papapetrou; Ling Chen 006 (DASFAA (1), 2011)

Semi-supervised Variable Weighting for Clustering. - Ling Chen 006; Chengqi Zhang (SDM, 2011)

TCSST: transfer classification of short & sparse text using external data. - Guodong Long; Ling Chen 006; Xingquan Zhu 001; Chengqi Zhang (CIKM, 2012)

Shot Classification Using Domain Specific Features for Movie Management. - Muhammad Abul Hasan; Min Xu 001; Xiangjian He; Ling Chen 006 (DASFAA (2), 2012)

Mining frequent serial episodes over uncertain sequence data. - Li Wan; Ling Chen 006; Chengqi Zhang (EDBT, 2013)

Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. - Li Wan; Ling Chen 006; Chengqi Zhang (ICDM, 2013)

Summarizing probabilistic frequent patterns: a fast approach. - Chunyang Liu; Ling Chen 006; Chengqi Zhang (KDD, 2013)

LCARS: a location-content-aware recommender system. - Hongzhi Yin; Yizhou Sun; Bin Cui 001; Zhiting Hu; Ling Chen 006 (KDD, 2013)

Mining Probabilistic Representative Frequent Patterns From Uncertain Data. - Ling Chen 006; Chunyang Liu; Chengqi Zhang (SDM, 2013)

Introduction to Special section on Large-scale Data Mining. - Jie Tang 001; Ling Chen 006; Irwin King; Jianyong Wang 001 (Data Knowl. Eng., 2013)

Noisy but non-malicious user detection in social recommender systems. - Bin Li 015; Ling Chen 006; Xingquan Zhu 001; Chengqi Zhang (World Wide Web, 2013)

A temporal context-aware model for user behavior modeling in social media systems. - Hongzhi Yin; Bin Cui 001; Ling Chen 006; Zhiting Hu; Zi Huang (SIGMOD Conference, 2014)

LCARS: A Spatial Item Recommender System. - Hongzhi Yin; Bin Cui 001; Yizhou Sun; Zhiting Hu; Ling Chen 006 (ACM Trans. Inf. Syst., 2014)

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Chengqi Zhang (ADC, 2015)

Defragging Subgraph Features for Graph Classification. - Haishuai Wang; Peng Zhang 001; Ivor W. Tsang; Ling Chen 006; Chengqi Zhang (CIKM, 2015)

Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph. - Kaisong Song; Shi Feng 001; Wei Gao 001; Daling Wang; Ling Chen 006; Chengqi Zhang (HT, 2015)

Online diffusion source detection in social networks. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Huan Liu 001; Chengqi Zhang (IJCNN, 2015)

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. - Weiqing Wang 001; Hongzhi Yin; Ling Chen 006; Yizhou Sun; Shazia Sadiq; Xiaofang Zhou 001 (KDD, 2015)

RCP Mining: Towards the Summarization of Spatial Co-location Patterns. - Bozhong Liu; Ling Chen 006; Chunyang Liu; Chengqi Zhang; Weidong Qiu (SSTD, 2015)

Modeling Location-Based User Rating Profiles for Personalized Recommendation. - Hongzhi Yin; Bin Cui 001; Ling Chen 006; Zhiting Hu; Chengqi Zhang (ACM Trans. Knowl. Discov. Data, 2015)

Dynamic User Modeling in Social Media Systems. - Hongzhi Yin; Bin Cui 001; Ling Chen 006; Zhiting Hu; Xiaofang Zhou 001 (ACM Trans. Inf. Syst., 2015)

Mining Co-locations from Continuously Distributed Uncertain Spatial Data. - Bozhong Liu; Ling Chen 006; Chunyang Liu; Chengqi Zhang; Weidong Qiu (APWeb (1), 2016)

SPORE: A sequential personalized spatial item recommender system. - Weiqing Wang 001; Hongzhi Yin; Shazia Sadiq; Ling Chen 006; Min Xie; Xiaofang Zhou 001 (ICDE, 2016)

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. - Guansong Pang; Longbing Cao; Ling Chen 006; Huan Liu 001 (ICDM, 2016)

Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (ICDM, 2016)

Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings. - Guansong Pang; Longbing Cao; Ling Chen 006 (IJCAI, 2016)

Summarizing uncertain transaction databases by Probabilistic Tiles. - Chunyang Liu; Ling Chen 006 (IJCNN, 2016)

Cross-View Feature Hashing for Image Retrieval. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (PAKDD (1), 2016)

On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent. - Bo Han 003; Ivor W. Tsang; Ling Chen 006 (ECML/PKDD (1), 2016)

Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization. - Kaisong Song; Wei Gao 001; Ling Chen 006; Shi Feng 001; Daling Wang; Chengqi Zhang (SIGIR, 2016)

PerSentiment: A Personalized Sentiment Classification System for Microblog Users. - Kaisong Song; Ling Chen 006; Wei Gao 001; Shi Feng 001; Daling Wang; Chengqi Zhang (WWW (Companion Volume), 2016)

Exploiting Rich Contents for Personalized Video Recommendation. - Xingzhong Du; Hongzhi Yin; Ling Chen 006; Yang Wang 023; Yi Yang 001; Xiaofang Zhou 001 (CoRR, 2016)

Multi-label learning with label relevance in advertising video. - Sujuan Hou; Shangbo Zhou; Ling Chen 006; Yong Feng; Karim Awudu (Neurocomputing, 2016)

Memetic Extreme Learning Machine. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Peng Zhang 001; Ling Chen 006 (Pattern Recognit., 2016)

Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data. - Bozhong Liu; Ling Chen 006; Xingquan Zhu 001; Ying Zhang 001; Chengqi Zhang; Weidong Qiu (EDBT, 2017)

Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. - Guansong Pang; Longbing Cao; Ling Chen 006; Huan Liu 001 (IJCAI, 2017)

Online compressed robust PCA. - Pingbo Pan; Jiashi Feng; Ling Chen 006; Yi Yang 001 (IJCNN, 2017)

Early Active Learning with Pairwise Constraint for Person Re-identification. - Wenhe Liu; Xiaojun Chang; Ling Chen 006; Yi Yang 001 (ECML/PKDD (1), 2017)

Consistent Weighted Sampling Made More Practical. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (WWW, 2017)

Towards large-scale social networks with online diffusion provenance detection. - Haishuai Wang; Jia Wu 001; Shirui Pan; Peng Zhang 001; Ling Chen 006 (Comput. Networks, 2017)

Multi-layer multi-view topic model for classifying advertising video. - Sujuan Hou; Ling Chen 006; Dacheng Tao; Shangbo Zhou; Wenjie Liu 001; Yuanjie Zheng (Pattern Recognit., 2017)

ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. - Weiqing Wang 001; Hongzhi Yin; Ling Chen 006; Yizhou Sun; Shazia Sadiq; Xiaofang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2017)

Incremental Subgraph Feature Selection for Graph Classification. - Haishuai Wang; Peng Zhang 001; Xingquan Zhu 001; Ivor Wai-Hung Tsang; Ling Chen 006; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2017)

Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation. - Hongzhi Yin; Weiqing Wang 001; Hao Wang 005; Ling Chen 006; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2017)

Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. - Wenhe Liu; Xiaojun Chang; Ling Chen 006; Yi Yang 001 (AAAI, 2018)

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. - Guansong Pang; Longbing Cao; Ling Chen 006; Defu Lian; Huan Liu 001 (AAAI, 2018)

ASTM: An Attentional Segmentation Based Topic Model for Short Texts. - Jiamiao Wang; Ling Chen 006; Lu Qin 001; Xindong Wu 001 (ICDM, 2018)

Binarized attributed network embedding. - Hong Yang 003; Shirui Pan; Peng Zhang 001; Ling Chen 006; Defu Lian; Chengqi Zhang (ICDM, 2018)

Efficient Attributed Network Embedding via Recursive Randomized Hashing. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (IJCAI, 2018)

Towards the Learning of Weighted Multi-label Associative Classifiers. - Chunyang Liu; Ling Chen 006; Ivor W. Tsang; Hongzhi Yin (IJCNN, 2018)

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. - Guansong Pang; Longbing Cao; Ling Chen 006; Huan Liu 001 (KDD, 2018)

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts. - Lianhua Chi; Bin Li 015; Xingquan Zhu 001; Shirui Pan; Ling Chen 006 (IEEE Trans. Cybern., 2018)

K-Ary Tree Hashing for Fast Graph Classification. - Wei Wu 011; Bin Li 015; Ling Chen 006; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2018)

Progressive Stochastic Learning for Noisy Labels. - Bo Han 003; Ivor W. Tsang; Ling Chen 006; Celina Ping Yu; Sai-Fu Fung (IEEE Trans. Neural Networks Learn. Syst., 2018)

Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. - Yanbin Liu; Yan Yan 006; Ling Chen 006; Yahong Han; Yi Yang 001 (AAAI, 2019)

What Can History Tell Us? - Ke Sun 010; Tieyun Qian; Hongzhi Yin; Tong Chen 005; Yiqi Chen; Ling Chen 006 (CIKM, 2019)

Enumerating k-Vertex Connected Components in Large Graphs. - Dong Wen 001; Lu Qin 001; Ying Zhang 001; Lijun Chang; Ling Chen 006 (ICDE, 2019)

Low-Bit Quantization for Attributed Network Representation Learning. - Hong Yang 003; Shirui Pan; Ling Chen 006; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2019)

Scalable Deep Generative Relational Model with High-Order Node Dependence. - Xuhui Fan 001; Bin Li 015; Caoyuan Li; Scott A. Sisson; Ling Chen 006 (NeurIPS, 2019)

Semi-supervised Adversarial Active Learning on Attributed Graphs. - Yayong Li; Jie Yin 001; Ling Chen 006 (CoRR, 2019)

Scalable Deep Generative Relational Models with High-Order Node Dependence. - Xuhui Fan 001; Bin Li 015; Scott Anthony Sisson; Caoyuan Li; Ling Chen 006 (CoRR, 2019)

Encrypted data indexing for the secure outsourcing of spectral clustering. - Bozhong Liu; Ling Chen 006; Xingquan Zhu 001; Weidong Qiu (Knowl. Inf. Syst., 2019)

Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. - Kun Zhan; Xiaojun Chang; Junpeng Guan; Ling Chen 006; Zhigang Ma; Yi Yang 001 (IEEE Trans. Cybern., 2019)

Discrete Multi-Graph Clustering. - Minnan Luo; Caixia Yan; Qinghua Zheng; Xiaojun Chang; Ling Chen 006; Feiping Nie 001 (IEEE Trans. Image Process., 2019)

Improved Consistent Weighted Sampling Revisited. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2019)

Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels. - Bo Han 003; Ivor W. Tsang; Ling Chen 006; Joey Tianyi Zhou; Celina Ping Yu (IEEE Trans. Neural Networks Learn. Syst., 2019)

User identity linkage across social networks via linked heterogeneous network embedding. - Yaqing Wang 004; Chunyan Feng; Ling Chen 006; Hongzhi Yin; Caili Guo; Yunfei Chu (World Wide Web, 2019)

Deep Reinforcement Learning with Transformers for Text Adventure Games. - Yunqiu Xu; Ling Chen 006; Meng Fang; Yang Wang 023; Chengqi Zhang (CoG, 2020)

Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. - Yaqiong Li; Xuhui Fan 001; Ling Chen 006; Bin Li 015; Zheng Yu; Scott A. Sisson (IJCAI, 2020)

Discrete Embedding for Latent Networks. - Hong Yang 003; Ling Chen 006; Minglong Lei; Lingfeng Niu; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2020)

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Joey Tianyi Zhou; Chengqi Zhang (NeurIPS, 2020)

Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. - Yaqiong Li; Xuhui Fan 001; Ling Chen 006; Bin Li 015; Scott A. Sisson (CoRR, 2020)

Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. - Wenhe Liu; Xiaojun Chang; Ling Chen 006; Dinh Phung 001; Xiaoqin Zhang 002; Yi Yang 001; Alexander G. Hauptmann (ACM Trans. Intell. Syst. Technol., 2020)

Personalized Video Recommendation Using Rich Contents from Videos. - Xingzhong Du; Hongzhi Yin; Ling Chen 006; Yang Wang 023; Yi Yang 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2020)

Joint Principal Component and Discriminant Analysis for Dimensionality Reduction. - Xiaowei Zhao 002; Jun Guo; Feiping Nie 001; Ling Chen 006; Zhihui Li 001; Huaxiang Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Semi-supervised Variational Multi-view Anomaly Detection. - Shaoshen Wang; Ling Chen 006; Farookh Khadeer Hussain; Chengqi Zhang (APWeb/WAIM (1), 2021)

Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation. - Weichao Wang; Wei Gao 001; Shi Feng 001; Ling Chen 006; Daling Wang (CIKM, 2021)

Generalization in Text-based Games via Hierarchical Reinforcement Learning. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Chengqi Zhang (EMNLP (Findings), 2021)

A Multi-Mode Modulator for Multi-Domain Few-Shot Classification. - Yanbin Liu; Juho Lee 001; Linchao Zhu; Ling Chen 006; Humphrey Shi; Yi Yang 001 (ICCV, 2021)

Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. - Shaoshen Wang; Yanbin Liu; Ling Chen 006; Chengqi Zhang (ICTAI, 2021)

Unified Robust Training for Graph Neural Networks Against Label Noise. - Yayong Li; Jie Yin 001; Ling Chen 006 (PAKDD (1), 2021)

Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. - Yaqiong Li; Xuhui Fan 001; Ling Chen 006; Bin Li 015; Scott A. Sisson (ECML/PKDD (2), 2021)

Single-cell multi-omics sequencing: application trends, COVID-19, data analysis issues and prospects. - Lu Huo; Jiao Jiao Li; Ling Chen 006; Zuguo Yu; Gyorgy Hutvagner; Jinyan Li 001 (Briefings Bioinform., 2021)

Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. - Wei Huang 034; Yayong Li; Weitao Du; Richard Yi Da Xu; Jie Yin 001; Ling Chen 006 (CoRR, 2021)

Unified Robust Training for Graph NeuralNetworks against Label Noise. - Yayong Li; Jie Yin 001; Ling Chen 006 (CoRR, 2021)

Homophily outlier detection in non-IID categorical data. - Guansong Pang; Longbing Cao; Ling Chen 006 (Data Min. Knowl. Discov., 2021)

Learning to improve persona consistency in conversation generation with information augmentation. - Weichao Wang; Shi Feng 001; Ling Chen 006; Daling Wang; Yifei Zhang 003 (Knowl. Based Syst., 2021)

Privacy-Preserving Stochastic Gradual Learning. - Bo Han 003; Ivor W. Tsang; Xiaokui Xiao; Ling Chen 006; Sai-Fu Fung; Celina Ping Yu (IEEE Trans. Knowl. Data Eng., 2021)

SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs. - Yayong Li; Jie Yin 001; Ling Chen 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Joey Tianyi Zhou; Chengqi Zhang (ACL (1), 2022)

Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. - Wei Huang 034; Yayong Li; Weitao Du; Richard Y. D. Xu; Jie Yin 001; Ling Chen 006; Miao Zhang (ICLR, 2022)

Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. - Shaoshen Wang; Yanbin Liu; Ling Chen 006; Chengqi Zhang (IJCNN, 2022)

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. - Zihan Zhang; Meng Fang; Ling Chen 006; Mohammad-Reza Namazi-Rad (NAACL-HLT, 2022)

Mask Matching Transformer for Few-Shot Segmentation. - Siyu Jiao; Gengwei Zhang; Shant Navasardyan; Ling Chen 006; Yao Zhao 001; Yunchao Wei; Honghui Shi (NeurIPS, 2022)

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. - Rongrong Ma; Guansong Pang; Ling Chen 006; Anton van den Hengel (WSDM, 2022)

Smoothing graphons for modelling exchangeable relational data. - Yaqiong Li; Xuhui Fan 001; Ling Chen 006; Bin Li 015; Scott A. Sisson (Mach. Learn., 2022)

Discrete embedding for attributed graphs. - Hong Yang 003; Ling Chen 006; Shirui Pan; Haishuai Wang; Peng Zhang 001 (Pattern Recognit., 2022)

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. - Yunqiu Xu; Meng Fang; Ling Chen 006; Gangyan Xu; Yali Du 001; Chengqi Zhang (IEEE Trans. Cybern., 2022)

A Review for Weighted MinHash Algorithms. - Wei Wu 011; Bin Li 015; Ling Chen 006; Junbin Gao; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2022)

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 006; Yefeng Zheng 001 (AAAI, 2023)

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. - Jiaxu Zhao 002; Meng Fang; Zijing Shi; Yitong Li; Ling Chen 006; Mykola Pechenizkiy (ACL (1), 2023)

Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City. - Hexuan Weng; Yanbin Liu; Ling Chen 006 (AI (1), 2023)

HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. - Jiaxi Li; Guansong Pang; Ling Chen 006; Mohammad-Reza Namazi-Rad (DSAA, 2023)

Self-imitation Learning for Action Generation in Text-based Games. - Zijing Shi; Yunqiu Xu; Meng Fang; Ling Chen 006 (EACL, 2023)

Turn-Level Active Learning for Dialogue State Tracking. - Zihan Zhang; Meng Fang; Fanghua Ye 001; Ling Chen 006; Mohammad-Reza Namazi-Rad (EMNLP, 2023)

CITB: A Benchmark for Continual Instruction Tuning. - Zihan Zhang; Meng Fang; Ling Chen 006; Mohammad-Reza Namazi-Rad (EMNLP (Findings), 2023)

How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. - Zihan Zhang; Meng Fang; Ling Chen 006; Mohammad-Reza Namazi-Rad; Jun Wang 012 (EMNLP, 2023)

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model. - Gengwei Zhang; Liyuan Wang; Guoliang Kang; Ling Chen 006; Yunchao Wei (ICCV, 2023)

A Review for Weighted MinHash Algorithms (Extended abstract). - Wei Wu 011; Bin Li 015; Ling Chen 006; Junbin Gao; Chengqi Zhang (ICDE, 2023)

Stay Moral and Explore: Learn to Behave Morally in Text-based Games. - Zijing Shi; Meng Fang; Yunqiu Xu; Ling Chen 006; Yali Du 001 (ICLR, 2023)

RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (PAKDD (4), 2023)

Graph-Level Anomaly Detection via Hierarchical Memory Networks. - Chaoxi Niu; Guansong Pang; Ling Chen 006 (ECML/PKDD (1), 2023)

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. - Bingqian Lin; Zicong Chen; Mingjie Li 006; Haokun Lin; Hang Xu 004; Yi Zhu 004; Jianzhuang Liu; Wenjia Cai; Lei Yang; Shen Zhao; Chenfei Wu; Ling Chen 006; et al. (CoRR, 2023)

StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. - Yanda Li; Chi Zhang 007; Gang Yu 002; Zhibin Wang 004; Bin Fu; Guosheng Lin; Chunhua Shen; Ling Chen 006; Yunchao Wei (CoRR, 2023)

Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction. - Zechuan Zhang; Li Sun; Zongxin Yang; Ling Chen 006; Yi Yang 001 (CoRR, 2023)

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. - Zijing Shi; Meng Fang; Shunfeng Zheng; Shilong Deng; Ling Chen 006; Yali Du 001 (CoRR, 2023)

Informative pseudo-labeling for graph neural networks with few labels. - Yayong Li; Jie Yin 001; Ling Chen 006 (Data Min. Knowl. Discov., 2023)

Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. - Xuhui Fan 001; Yaqiong Li; Ling Chen 006; Bin Li 015; Scott A. Sisson (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Dynamic Slimmable Denoising Network. - Zutao Jiang; Changlin Li; Xiaojun Chang; Ling Chen 006; Jihua Zhu; Yi Yang 001 (IEEE Trans. Image Process., 2023)

Shared dynamics learning for large-scale traveling salesman problem. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Gangyan Xu; Chengqi Zhang (Adv. Eng. Informatics, 2023)

Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Large Language Models Are Neurosymbolic Reasoners. - Meng Fang; Shilong Deng; Yudi Zhang 007; Zijing Shi; Ling Chen 006; Mykola Pechenizkiy; Jun Wang 012 (AAAI, 2024)

Human-Guided Moral Decision Making in Text-Based Games. - Zijing Shi; Meng Fang; Ling Chen 006; Yali Du 001; Jun Wang 012 (AAAI, 2024)

More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation. - Jiaxu Zhao 002; Zijing Shi; Yitong Li; Yulong Pei; Ling Chen 006; Meng Fang; Mykola Pechenizkiy (ACL (Findings), 2024)

Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. - Yanda Li; Chi Zhang 007; Gang Yu 002; Wanqi Yang; Zhibin Wang 004; Bin Fu; Guosheng Lin; Chunhua Shen; Ling Chen 006; Yunchao Wei (ACL (Findings), 2024)

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering. - Zihan Zhang; Meng Fang; Ling Chen 006 (ACL (Findings), 2024)

Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection. - Enxia Li; Jin Ouyang; Sheng Xiang; Lu Qin 001; Ling Chen 006 (APWeb/WAIM (3), 2024)

Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion. - Zeyu Zhang 006; Yiran Wang; Biao Wu 006; Shuo Chen; Zhiyuan Zhang; Shiya Huang; Wenbo Zhang 009; Meng Fang; Ling Chen 006; Yang Zhao 019 (BMVC, 2024)

Graph Continual Learning with Debiased Lossless Memory Replay. - Chaoxi Niu; Guansong Pang; Ling Chen 006 (ECAI, 2024)

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. - Mingjie Li 006; Haokun Lin; Liang Qiu; Xiaodan Liang; Ling Chen 006; Abdulmotaleb Elsaddik; Xiaojun Chang (ECCV (43), 2024)

MedINST: Meta Dataset of Biomedical Instructions. - Wenhan Han; Meng Fang; Zihan Zhang; Yu Yin; Zirui Song; Ling Chen 006; Mykola Pechenizkiy; Qingyu Chen 001 (EMNLP (Findings), 2024)

Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering. - Wanqi Yang; Yanda Li; Meng Fang; Ling Chen 006 (EMNLP (Findings), 2024)

Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. - Rongrong Ma; Guansong Pang; Ling Chen 006 (IJCNN, 2024)

Continual Learning for Temporal-Sensitive Question Answering. - Wanqi Yang; Yunqiu Xu; Yanda Li; Kunze Wang; Binbin Huang; Ling Chen 006 (IJCNN, 2024)

In-Context Learning for Zero-shot Medical Report Generation. - Rui Liu; Mingjie Li 006; Shen Zhao; Ling Chen 006; Xiaojun Chang; Lina Yao 001 (ACM Multimedia, 2024)

Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach. - Chaoxi Niu; Guansong Pang; Ling Chen 006; Bing Liu (NeurIPS, 2024)

Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (ECML/PKDD (2), 2024)

Test-Time Training for Spatial-Temporal Forecasting. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (SDM, 2024)

Disentangled Pre-training for Image Matting. - Yanda Li; Zilong Huang; Gang Yu 002; Ling Chen 006; Yunchao Wei; Jianbo Jiao (WACV, 2024)

Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation. - Hongbin Na; Zimu Wang; Mieradilijiang Maimaiti; Tong Chen 005; Wei Wang 042; Tao Shen; Ling Chen 006 (CoRR, 2024)

MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot. - Zirui Song; Yaohang Li; Meng Fang; Zhenhao Chen; Zecheng Shi; Yuan Huang; Ling Chen 006 (CoRR, 2024)

Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. - Gexin Huang; Chenfei Wu; Mingjie Li 006; Xiaojun Chang; Ling Chen 006; Ying Sun 001; Shen Zhao; Xiaodan Liang; Liang Lin (CoRR, 2024)

Curriculum Learning with Quality-Driven Data Selection. - Biao Wu 006; Fang Meng; Ling Chen 006 (CoRR, 2024)

XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training. - Biao Wu 006; Yutong Xie 001; Zeyu Zhang 006; Minh Hieu Phan; Qi Chen 014; Ling Chen 006; Qi Wu 001 (CoRR, 2024)

SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training. - Gengwei Zhang; Liyuan Wang; Guoliang Kang; Ling Chen 006; Yunchao Wei (CoRR, 2024)

Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy. - Hongbin Na; Tao Shen; Shumao Yu; Ling Chen 006 (CoRR, 2024)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. - Chaoxi Niu; Hezhe Qiao; Changlu Chen; Ling Chen 006; Guansong Pang (CoRR, 2024)

Foundations and Recent Trends in Multimodal Mobile Agents: A Survey. - Biao Wu 006; Yanda Li; Meng Fang; Zirui Song; Zhiwei Zhang; Yunchao Wei; Ling Chen 006 (CoRR, 2024)

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Language Models. - Wanqi Yang; Yanda Li; Meng Fang; Yunchao Wei; Tianyi Zhou 007; Ling Chen 006 (CoRR, 2024)

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models. - Beibei Yu; Tao Shen; Hongbin Na; Ling Chen 006; Denqi Li (CoRR, 2024)

Harnessing collective structure knowledge in data augmentation for graph neural networks. - Rongrong Ma; Guansong Pang; Ling Chen 006 (Neural Networks, 2024)

Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning. - Chaoxi Niu; Guansong Pang; Ling Chen 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions. - Hongbin Na; Yining Hua; Zimu Wang; Tao Shen; Beibei Yu; Lilin Wang; Wei Wang 042; John B. Torous; Ling Chen 006 (ACL (Findings), 2025)

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models. - Wanqi Yang; Yanda Li; Meng Fang; Yunchao Wei; Ling Chen 006 (ACL (Findings), 2025)

Detecting Conversational Mental Manipulation with Intent-Aware Prompting. - Jiayuan Ma; Hongbin Na; Zimu Wang; Yining Hua; Yue Liu; Wei Wang 042; Ling Chen 006 (COLING, 2025)

Monte Carlo Planning with Large Language Model for Text-Based Game Agents. - Zijing Shi; Meng Fang; Ling Chen 006 (ICLR, 2025)

Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies. - Zirui Song; Guangxian Ouyang; Meng Fang; Hongbin Na; Zijing Shi; Zhenhao Chen; Yujie Fu; Zeyu Zhang 006; Shiyu Jiang; Miao Fang 001; Ling Chen 006; Xiuying Chen (NAACL (Long Papers), 2025)

MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents. - Wanqi Yang; Yanda Li; Meng Fang; Ling Chen 006 (NAACL (Findings), 2025)

Sketching Very Large-scale Dynamic Attributed Networks More Practically. - Wei Wu 011; Shiqi Li; Ling Chen 006; Fangfang Li 004; Chuan Luo 002 (WWW, 2025)

Workshop on Sustainable AI for the Future Web. - Chang Xu 002; Yunke Wang; Jianyuan Guo; Daochang Liu; Minjing Dong; Yasmeen George; Johan Barthelemy; Yan Liu 002; Ling Chen 006 (WWW (Companion Volume), 2025)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. - Hezhe Qiao; Chaoxi Niu; Ling Chen 006; Guansong Pang (CoRR, 2025)

Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing. - Baode Wang; Biao Wu 006; Weizhen Li; Meng Fang; Yanjie Liang; Zuming Huang; Haozhe Wang 016; Jun Huang; Ling Chen 006; Wei Chu; Yuan Qi (CoRR, 2025)

M4V: Multi-Modal Mamba for Text-to-Video Generation. - Jiancheng Huang; Gengwei Zhang; Zequn Jie; Siyu Jiao; Yinlong Qian; Ling Chen 006; Yunchao Wei; Lin Ma 002 (CoRR, 2025)

WebArXiv: Evaluating Multimodal Agents on Time-Invariant arXiv Tasks. - Zihao Sun; Meng Fang; Ling Chen 006 (CoRR, 2025)

PresentAgent: Multimodal Agent for Presentation Video Generation. - Jingwei Shi; Zeyu Zhang 006; Biao Wu 006; Yanjie Liang; Meng Fang; Ling Chen 006; Yang Zhao 019 (CoRR, 2025)

SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models. - Wanqi Yang; Yanda Li; Yunchao Wei; Meng Fang; Ling Chen 006 (CoRR, 2025)

Efficient relation-aware heterogeneous graph neural network for fraud detection. - Enxia Li; Jin Ouyang; Sheng Xiang; Lu Qin 001; Ling Chen 006 (World Wide Web (WWW), 2025)