Ling Chen - RankMe

261 papers A* 45A 16B 19C 1Misc 1Journal 127Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-And Knowledge-Driven Visual Abductive Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. Chen Liang, Wenguan Wang, Ling Chen, Yi Yang
2026	A*	`conf`	Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models. AAAI Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen, Mykola Pechenizkiy
2026	J	`jnl`	Quantifying and mitigating the spiral of silence in recommender systems: A modular probabilistic framework. Knowl. Based Syst. Mingze Zhong, Hong Xie, Meng Fang, Zijing Shi, Ling Chen
2026	—	`conf`	VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery. EACL (Findings) Jinchao Ge, Tengfei Cheng, Biao Wu, Zeyu Zhang, Shiya Huang, Judith Bishop, Gillian Shepherd, Meng Fang, Ling Chen, Yang Zhao
2026	A*	`conf`	Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach. AAAI Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang
2026	J	`jnl`	Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach. CoRR Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang
2025	—	`conf`	A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions. ACL (Findings) Hongbin Na, Yining Hua, Zimu Wang, Tao Shen, Beibei Yu, Lilin Wang, Wei Wang, John B. Torous, Ling Chen
2025	J	`jnl`	A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions. CoRR Hongbin Na, Yining Hua, Zimu Wang, Tao Shen, Beibei Yu, Lilin Wang, Wei Wang, John B. Torous, Ling Chen
2025	J	`jnl`	A unified multi-subgraph pre-training framework for spatio-temporal graph. Knowl. Based Syst. Mingze Zhong, Zexuan Long, Xinglei Wang, Tao Cheng, Meng Fang, Ling Chen
2025	A	`conf`	Adaptive Mobile Agent for Dynamic Interactions. ICME Yanda Li, Chi Zhang, Wenjia Jiang, Wanqi Yang, Bin Fu, Pei Cheng, Xin Chen, Meng Fang, Ling Chen, Yunchao Wei
2025	—	`conf`	AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. KDD (2) Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang
2025	J	`jnl`	AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. CoRR Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang
2025	J	`jnl`	Automotive-ENV: Benchmarking Multimodal Agents in Vehicle Interface Systems. CoRR Junfeng Yan, Biao Wu, Meng Fang, Ling Chen
2025	—	`conf`	Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. EMNLP (Findings) Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen
2025	J	`jnl`	Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. CoRR Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen
2025	B	`conf`	Detecting Conversational Mental Manipulation with Intent-Aware Prompting. COLING Jiayuan Ma, Hongbin Na, Zimu Wang, Yining Hua, Yue Liu, Wei Wang, Ling Chen
2025	J	`jnl`	Efficient relation-aware heterogeneous graph neural network for fraud detection. World Wide Web (WWW) Enxia Li, Jin Ouyang, Sheng Xiang, Lu Qin, Ling Chen
2025	—	`conf`	Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies. NAACL (Long Papers) Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen
2025	J	`jnl`	Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing. CoRR Baode Wang, Biao Wu, Weizhen Li, Meng Fang, Yanjie Liang, Zuming Huang, Haozhe Wang, Jun Huang, Ling Chen, Wei Chu, Yuan Qi
2025	—	`conf`	Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement. EMNLP (Industry Track) Haotan Guo, Jianfei He, Jiayuan Ma, Hongbin Na, Zimu Wang, Haiyang Zhang, Qi Chen, Wei Wang, Zijing Shi, Tao Shen, Ling Chen
2025	J	`jnl`	Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement. CoRR Haotan Guo, Jianfei He, Jiayuan Ma, Hongbin Na, Zimu Wang, Haiyang Zhang, Qi Chen, Wei Wang, Zijing Shi, Tao Shen, Ling Chen
2025	J	`jnl`	M4V: Multi-Modal Mamba for Text-to-Video Generation. CoRR Jiancheng Huang, Gengwei Zhang, Zequn Jie, Siyu Jiao, Yinlong Qian, Ling Chen, Yunchao Wei, Lin Ma
2025	—	`conf`	MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents. NAACL (Findings) Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2025	J	`jnl`	MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents. CoRR Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2025	A*	`conf`	Monte Carlo Planning with Large Language Model for Text-Based Game Agents. ICLR Zijing Shi, Meng Fang, Ling Chen
2025	J	`jnl`	Monte Carlo Planning with Large Language Model for Text-Based Game Agents. CoRR Zijing Shi, Meng Fang, Ling Chen
2025	—	`conf`	PresentAgent: Multimodal Agent for Presentation Video Generation. EMNLP (System Demonstrations) Jingwei Shi, Zeyu Zhang, Biao Wu, Yanjie Liang, Meng Fang, Ling Chen, Yang Zhao
2025	J	`jnl`	PresentAgent: Multimodal Agent for Presentation Video Generation. CoRR Jingwei Shi, Zeyu Zhang, Biao Wu, Yanjie Liang, Meng Fang, Ling Chen, Yang Zhao
2025	—	`conf`	RePrompt: Towards Robust Continual Test-Time Adaptation via Replay Prompt for CLIP. AI (1) Ran Wang, Hua Zuo, Ling Chen, Huan Huo, Jie Lu
2025	J	`jnl`	Remote Sensing-Oriented World Model. CoRR Yuxi Lu, Biao Wu, Zhidong Li, Kunqi Li, Chenya Huang, Huacan Wang, Qizhen Lan, Ronghao Chen, Ling Chen, Bin Liang
2025	J	`jnl`	Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting. CoRR Changlu Chen, Yanbin Liu, Chaoxi Niu, Ling Chen, Tianqing Zhu
2025	A*	`conf`	Sketching Very Large-scale Dynamic Attributed Networks More Practically. WWW Wei Wu, Shiqi Li, Ling Chen, Fangfang Li, Chuan Luo
2025	—	`conf`	SpatialWebAgent: Leveraging Large Language Models for Automated Spatial Information Extraction and Map Grounding. ACL (3) Shunfeng Zheng, Meng Fang, Ling Chen
2025	J	`jnl`	SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models. CoRR Wanqi Yang, Yanda Li, Yunchao Wei, Meng Fang, Ling Chen
2025	—	`conf`	Spiral of Silence in Large Language Model Agents. EMNLP (Findings) Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025	J	`jnl`	Spiral of Silence in Large Language Model Agents. CoRR Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025	—	`conf`	TrashTracer: Enabling Efficient Real-Time Detection of Underwater Marine Debris. AI (2) Yifan Yin, Xiufeng Liu, Xu Cheng, Hua Zuo, Ling Chen, Tianqing Zhu, Huan Huo
2025	A	`conf`	Trustworthy Knowledge Discovery and Data Mining (TrustKDD). CIKM Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2025	J	`jnl`	UniVid: The Open-Source Unified Video Model. CoRR Jiabin Luo, Junhui Lin, Zeyu Zhang, Biao Wu, Meng Fang, Ling Chen, Hao Tang
2025	J	`jnl`	VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery. CoRR Jinchao Ge, Tengfei Cheng, Biao Wu, Zeyu Zhang, Shiya Huang, Judith Bishop, Gillian Shepherd, Meng Fang, Ling Chen, Yang Zhao
2025	J	`jnl`	WebArXiv: Evaluating Multimodal Agents on Time-Invariant arXiv Tasks. CoRR Zihao Sun, Meng Fang, Ling Chen
2025	—	`conf`	Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models. ACL (Findings) Wanqi Yang, Yanda Li, Meng Fang, Yunchao Wei, Ling Chen
2025	—	`conf`	Workshop on Sustainable AI for the Future Web. WWW (Companion Volume) Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen
2025	J	`jnl`	You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations. CoRR Hongbin Na, Zimu Wang, Zhaoming Chen, Peilin Zhou, Yining Hua, Grace Ziqi Zhou, Haiyang Zhang, Tao Shen, Wei Wang, John B. Torous, Shaoxiong Ji, Ling Chen
2025	A*	`conf`	Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. IJCAI Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang
2024	J	`jnl`	Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Chaoxi Niu, Guansong Pang, Ling Chen
2024	B	`conf`	Continual Learning for Temporal-Sensitive Question Answering. IJCNN Wanqi Yang, Yunqiu Xu, Yanda Li, Kunze Wang, Binbin Huang, Ling Chen
2024	J	`jnl`	Continual Learning for Temporal-Sensitive Question Answering. CoRR Wanqi Yang, Yunqiu Xu, Yanda Li, Kunze Wang, Binbin Huang, Ling Chen
2024	—	`conf`	Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. ECCV (43) Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang
2024	J	`jnl`	Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. CoRR Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang
2024	J	`jnl`	Curriculum Learning with Quality-Driven Data Selection. CoRR Biao Wu, Fang Meng, Ling Chen
2024	J	`jnl`	Detecting Conversational Mental Manipulation with Intent-Aware Prompting. CoRR Jiayuan Ma, Hongbin Na, Zimu Wang, Yining Hua, Yue Liu, Wei Wang, Ling Chen
2024	A	`conf`	Disentangled Pre-training for Image Matting. WACV Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao
2024	—	`conf`	Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. ACL (Findings) Yanda Li, Chi Zhang, Gang Yu, Wanqi Yang, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei
2024	—	`conf`	Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering. EMNLP (Findings) Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2024	J	`jnl`	Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering. CoRR Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2024	J	`jnl`	Foundations and Recent Trends in Multimodal Mobile Agents: A Survey. CoRR Biao Wu, Yanda Li, Meng Fang, Zirui Song, Zhiwei Zhang, Yunchao Wei, Ling Chen
2024	A	`conf`	Graph Continual Learning with Debiased Lossless Memory Replay. ECAI Chaoxi Niu, Guansong Pang, Ling Chen
2024	J	`jnl`	Graph Continual Learning with Debiased Lossless Memory Replay. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2024	J	`jnl`	Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks. CoRR Rongrong Ma, Guansong Pang, Ling Chen
2024	J	`jnl`	Harnessing collective structure knowledge in data augmentation for graph neural networks. Neural Networks Rongrong Ma, Guansong Pang, Ling Chen
2024	J	`jnl`	Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies. CoRR Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen
2024	A*	`conf`	Human-Guided Moral Decision Making in Text-Based Games. AAAI Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang
2024	B	`conf`	Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. IJCNN Rongrong Ma, Guansong Pang, Ling Chen
2024	J	`jnl`	Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. CoRR Rongrong Ma, Guansong Pang, Ling Chen
2024	A*	`conf`	In-Context Learning for Zero-shot Medical Report Generation. ACM Multimedia Rui Liu, Mingjie Li, Shen Zhao, Ling Chen, Xiaojun Chang, Lina Yao
2024	A*	`conf`	Large Language Models Are Neurosymbolic Reasoners. AAAI Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
2024	J	`jnl`	Large Language Models Are Neurosymbolic Reasoners. CoRR Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
2024	J	`jnl`	MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot. CoRR Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, Yuan Huang, Ling Chen
2024	—	`conf`	MedINST: Meta Dataset of Biomedical Instructions. EMNLP (Findings) Wenhan Han, Meng Fang, Zihan Zhang, Yu Yin, Zirui Song, Ling Chen, Mykola Pechenizkiy, Qingyu Chen
2024	J	`jnl`	MedINST: Meta Dataset of Biomedical Instructions. CoRR Wenhan Han, Meng Fang, Zihan Zhang, Yu Yin, Zirui Song, Ling Chen, Mykola Pechenizkiy, Qingyu Chen
2024	J	`jnl`	MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models. CoRR Beibei Yu, Tao Shen, Hongbin Na, Ling Chen, Denqi Li
2024	—	`conf`	More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation. ACL (Findings) Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy
2024	A	`conf`	Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion. BMVC Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao
2024	J	`jnl`	Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion. CoRR Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao
2024	J	`jnl`	Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy. CoRR Hongbin Na, Tao Shen, Shumao Yu, Ling Chen
2024	—	`conf`	Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. ECML/PKDD (2) Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2024	J	`jnl`	Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. CoRR Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin
2024	—	`conf`	Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection. APWeb/WAIM (3) Enxia Li, Jin Ouyang, Sheng Xiang, Lu Qin, Ling Chen
2024	A*	`conf`	Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach. NeurIPS Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
2024	J	`jnl`	Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach. CoRR Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
2024	J	`jnl`	Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation. CoRR Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti, Tong Chen, Wei Wang, Tao Shen, Ling Chen
2024	—	`conf`	RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering. ACL (Findings) Zihan Zhang, Meng Fang, Ling Chen
2024	J	`jnl`	RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering. CoRR Zihan Zhang, Meng Fang, Ling Chen
2024	J	`jnl`	SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training. CoRR Gengwei Zhang, Liyuan Wang, Guoliang Kang, Ling Chen, Yunchao Wei
2024	J	`jnl`	Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. CoRR Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
2024	A	`conf`	Test-Time Training for Spatial-Temporal Forecasting. SDM Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2024	J	`jnl`	Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Language Models. CoRR Wanqi Yang, Yanda Li, Meng Fang, Yunchao Wei, Tianyi Zhou, Ling Chen
2024	J	`jnl`	XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training. CoRR Biao Wu, Yutong Xie, Zeyu Zhang, Minh Hieu Phan, Qi Chen, Ling Chen, Qi Wu
2024	J	`jnl`	Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. CoRR Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang
2023	A*	`conf`	A Review for Weighted MinHash Algorithms (Extended abstract). ICDE Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2023	J	`jnl`	Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2023	J	`jnl`	Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. IEEE Trans. Neural Networks Learn. Syst. Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2023	—	`conf`	CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. ACL (1) Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
2023	J	`jnl`	CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. CoRR Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
2023	—	`conf`	CITB: A Benchmark for Continual Instruction Tuning. EMNLP (Findings) Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2023	J	`jnl`	CITB: A Benchmark for Continual Instruction Tuning. CoRR Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2023	J	`jnl`	Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. CoRR Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali Du
2023	J	`jnl`	Disentangled Pre-training for Image Matting. CoRR Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao
2023	J	`jnl`	Dynamic Slimmable Denoising Network. IEEE Trans. Image Process. Zutao Jiang, Changlin Li, Xiaojun Chang, Ling Chen, Jihua Zhu, Yi Yang
2023	J	`jnl`	Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction. CoRR Zechuan Zhang, Li Sun, Zongxin Yang, Ling Chen, Yi Yang
2023	—	`conf`	Graph-Level Anomaly Detection via Hierarchical Memory Networks. ECML/PKDD (1) Chaoxi Niu, Guansong Pang, Ling Chen
2023	J	`jnl`	Graph-level Anomaly Detection via Hierarchical Memory Networks. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2023	B	`conf`	HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. DSAA Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
2023	J	`jnl`	HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. CoRR Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
2023	J	`jnl`	Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. IEEE Trans. Pattern Anal. Mach. Intell. Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
2023	A*	`conf`	How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. EMNLP Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
2023	J	`jnl`	How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. CoRR Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
2023	J	`jnl`	Informative pseudo-labeling for graph neural networks with few labels. Data Min. Knowl. Discov. Yayong Li, Jie Yin, Ling Chen
2023	J	`jnl`	Mask Matching Transformer for Few-Shot Segmentation. CoRR Siyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Humphrey Shi
2023	—	`conf`	RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. PAKDD (4) Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2023	A*	`conf`	SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model. ICCV Gengwei Zhang, Liyuan Wang, Guoliang Kang, Ling Chen, Yunchao Wei
2023	J	`jnl`	SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model. CoRR Gengwei Zhang, Liyuan Wang, Guoliang Kang, Ling Chen, Yunchao Wei
2023	A	`conf`	Self-imitation Learning for Action Generation in Text-based Games. EACL Zijing Shi, Yunqiu Xu, Meng Fang, Ling Chen
2023	A*	`conf`	Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. AAAI Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
2023	J	`jnl`	Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang
2023	—	`conf`	Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City. AI (1) Hexuan Weng, Yanbin Liu, Ling Chen
2023	J	`jnl`	StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. CoRR Yanda Li, Chi Zhang, Gang Yu, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei
2023	A*	`conf`	Stay Moral and Explore: Learn to Behave Morally in Text-based Games. ICLR Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du
2023	J	`jnl`	Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. CoRR Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang
2023	A*	`conf`	Turn-Level Active Learning for Dialogue State Tracking. EMNLP Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad
2023	J	`jnl`	Turn-Level Active Learning for Dialogue State Tracking. CoRR Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad
2022	J	`jnl`	A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2022	A	`conf`	Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. WSDM Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel
2022	B	`conf`	Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. IJCNN Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
2022	J	`jnl`	Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. CoRR Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
2022	J	`jnl`	Discrete embedding for attributed graphs. Pattern Recognit. Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang
2022	J	`jnl`	Informative Pseudo-Labeling for Graph Neural Networks with Few Labels. CoRR Yayong Li, Jie Yin, Ling Chen
2022	—	`conf`	Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. NAACL-HLT Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2022	J	`jnl`	Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. CoRR Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2022	A*	`conf`	Mask Matching Transformer for Few-Shot Segmentation. NeurIPS Siyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Honghui Shi
2022	—	`conf`	Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL (1) Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022	J	`jnl`	Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022	J	`jnl`	Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang
2022	J	`jnl`	Smoothing graphons for modelling exchangeable relational data. Mach. Learn. Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2022	A*	`conf`	Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang
2021	A*	`conf`	A Multi-Mode Modulator for Multi-Domain Few-Shot Classification. ICCV Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang
2021	A	`conf`	Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation. CIKM Weichao Wang, Wei Gao, Shi Feng, Ling Chen, Daling Wang
2021	B	`conf`	Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. ICTAI Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
2021	—	`conf`	Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2021	J	`jnl`	Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. CoRR Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel
2021	—	`conf`	Generalization in Text-based Games via Hierarchical Reinforcement Learning. EMNLP (Findings) Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021	J	`jnl`	Generalization in Text-based Games via Hierarchical Reinforcement Learning. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021	J	`jnl`	Homophily Outlier Detection in Non-IID Categorical Data. CoRR Guansong Pang, Longbing Cao, Ling Chen
2021	J	`jnl`	Homophily outlier detection in non-IID categorical data. Data Min. Knowl. Discov. Guansong Pang, Longbing Cao, Ling Chen
2021	J	`jnl`	Learning to improve persona consistency in conversation generation with information augmentation. Knowl. Based Syst. Weichao Wang, Shi Feng, Ling Chen, Daling Wang, Yifei Zhang
2021	J	`jnl`	Privacy-Preserving Stochastic Gradual Learning. IEEE Trans. Knowl. Data Eng. Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
2021	J	`jnl`	SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs. IEEE Trans. Neural Networks Learn. Syst. Yayong Li, Jie Yin, Ling Chen
2021	—	`conf`	Semi-supervised Variational Multi-view Anomaly Detection. APWeb/WAIM (1) Shaoshen Wang, Ling Chen, Farookh Khadeer Hussain, Chengqi Zhang
2021	J	`jnl`	Single-cell multi-omics sequencing: application trends, COVID-19, data analysis issues and prospects. Briefings Bioinform. Lu Huo, Jiao Jiao Li, Ling Chen, Zuguo Yu, Gyorgy Hutvagner, Jinyan Li
2021	—	`conf`	Unified Robust Training for Graph Neural Networks Against Label Noise. PAKDD (1) Yayong Li, Jie Yin, Ling Chen
2021	J	`jnl`	Unified Robust Training for Graph NeuralNetworks against Label Noise. CoRR Yayong Li, Jie Yin, Ling Chen
2021	J	`jnl`	Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen
2020	A*	`conf`	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020	J	`jnl`	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020	C	`conf`	Deep Reinforcement Learning with Transformers for Text Adventure Games. CoG Yunqiu Xu, Ling Chen, Meng Fang, Yang Wang, Chengqi Zhang
2020	A*	`conf`	Discrete Embedding for Latent Networks. IJCAI Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
2020	J	`jnl`	Joint Principal Component and Discriminant Analysis for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. Xiaowei Zhao, Jun Guo, Feiping Nie, Ling Chen, Zhihui Li, Huaxiang Zhang
2020	J	`jnl`	Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann
2020	J	`jnl`	Personalized Video Recommendation Using Rich Contents from Videos. IEEE Trans. Knowl. Data Eng. Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou
2020	J	`jnl`	Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. CoRR Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2020	A*	`conf`	Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. IJCAI Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
2020	J	`jnl`	Smoothing Graphons for Modelling Exchangeable Relational Data. CoRR Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
2019	A*	`conf`	Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. AAAI Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang
2019	J	`jnl`	Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. IEEE Trans. Cybern. Kun Zhan, Xiaojun Chang, Junpeng Guan, Ling Chen, Zhigang Ma, Yi Yang
2019	J	`jnl`	Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. Bo Han, Ivor W. Tsang, Ling Chen, Joey Tianyi Zhou, Celina Ping Yu
2019	J	`jnl`	Discrete Multi-Graph Clustering. IEEE Trans. Image Process. Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie
2019	J	`jnl`	Encrypted data indexing for the secure outsourcing of spectral clustering. Knowl. Inf. Syst. Bozhong Liu, Ling Chen, Xingquan Zhu, Weidong Qiu
2019	A*	`conf`	Enumerating k-Vertex Connected Components in Large Graphs. ICDE Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Ling Chen
2019	J	`jnl`	Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
2019	A*	`conf`	Low-Bit Quantization for Attributed Network Representation Learning. IJCAI Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang
2019	A*	`conf`	Scalable Deep Generative Relational Model with High-Order Node Dependence. NeurIPS Xuhui Fan, Bin Li, Caoyuan Li, Scott A. Sisson, Ling Chen
2019	J	`jnl`	Scalable Deep Generative Relational Models with High-Order Node Dependence. CoRR Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen
2019	J	`jnl`	Semi-supervised Adversarial Active Learning on Attributed Graphs. CoRR Yayong Li, Jie Yin, Ling Chen
2019	J	`jnl`	User identity linkage across social networks via linked heterogeneous network embedding. World Wide Web Yaqing Wang, Chunyan Feng, Ling Chen, Hongzhi Yin, Caili Guo, Yunfei Chu
2019	A	`conf`	What Can History Tell Us? CIKM Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen
2018	J	`jnl`	A Review for Weighted MinHash Algorithms. CoRR Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2018	A*	`conf`	ASTM: An Attentional Segmentation Based Topic Model for Short Texts. ICDM Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu
2018	A*	`conf`	Binarized attributed network embedding. ICDM Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
2018	A*	`conf`	Efficient Attributed Network Embedding via Recursive Randomized Hashing. IJCAI Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2018	J	`jnl`	Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts. IEEE Trans. Cybern. Lianhua Chi, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen
2018	J	`jnl`	K-Ary Tree Hashing for Fast Graph Classification. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
2018	A*	`conf`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. KDD Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	J	`jnl`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. CoRR Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	J	`jnl`	Privacy-preserving Stochastic Gradual Learning. CoRR Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
2018	J	`jnl`	Progressive Stochastic Learning for Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. Bo Han, Ivor W. Tsang, Ling Chen, Celina Ping Yu, Sai-Fu Fung
2018	A*	`conf`	Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. AAAI Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang
2018	A*	`conf`	Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
2018	B	`conf`	Towards the Learning of Weighted Multi-label Associative Classifiers. IJCNN Chunyang Liu, Ling Chen, Ivor W. Tsang, Hongzhi Yin
2017	A*	`conf`	Consistent Weighted Sampling Made More Practical. WWW Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2017	—	`conf`	Early Active Learning with Pairwise Constraint for Person Re-identification. ECML/PKDD (1) Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang
2017	J	`jnl`	Improved Consistent Weighted Sampling Revisited. CoRR Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
2017	J	`jnl`	Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
2017	A*	`conf`	Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. IJCAI Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2017	J	`jnl`	Multi-layer multi-view topic model for classifying advertising video. Pattern Recognit. Sujuan Hou, Ling Chen, Dacheng Tao, Shangbo Zhou, Wenjie Liu, Yuanjie Zheng
2017	B	`conf`	Online compressed robust PCA. IJCNN Pingbo Pan, Jiashi Feng, Ling Chen, Yi Yang
2017	B	`conf`	Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data. EDBT Bozhong Liu, Ling Chen, Xingquan Zhu, Ying Zhang, Chengqi Zhang, Weidong Qiu
2017	J	`jnl`	ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. ACM Trans. Intell. Syst. Technol. Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2017	J	`jnl`	Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation. IEEE Trans. Knowl. Data Eng. Hongzhi Yin, Weiqing Wang, Hao Wang, Ling Chen, Xiaofang Zhou
2017	J	`jnl`	Towards large-scale social networks with online diffusion provenance detection. Comput. Networks Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen
2016	A*	`conf`	Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization. SIGIR Kaisong Song, Wei Gao, Ling Chen, Shi Feng, Daling Wang, Chengqi Zhang
2016	A*	`conf`	Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. ICDM Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2016	—	`conf`	Cross-View Feature Hashing for Image Retrieval. PAKDD (1) Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2016	J	`jnl`	Exploiting Rich Contents for Personalized Video Recommendation. CoRR Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou
2016	J	`jnl`	Memetic Extreme Learning Machine. Pattern Recognit. Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
2016	—	`conf`	Mining Co-locations from Continuously Distributed Uncertain Spatial Data. APWeb (1) Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang, Weidong Qiu
2016	J	`jnl`	Multi-label learning with label relevance in advertising video. Neurocomputing Sujuan Hou, Shangbo Zhou, Ling Chen, Yong Feng, Karim Awudu
2016	J	`jnl`	On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent. CoRR Bo Han, Ivor W. Tsang, Ling Chen
2016	—	`conf`	On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent. ECML/PKDD (1) Bo Han, Ivor W. Tsang, Ling Chen
2016	A*	`conf`	Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings. IJCAI Guansong Pang, Longbing Cao, Ling Chen
2016	—	`conf`	PerSentiment: A Personalized Sentiment Classification System for Microblog Users. WWW (Companion Volume) Kaisong Song, Ling Chen, Wei Gao, Shi Feng, Daling Wang, Chengqi Zhang
2016	A*	`conf`	SPORE: A sequential personalized spatial item recommender system. ICDE Weiqing Wang, Hongzhi Yin, Shazia Sadiq, Ling Chen, Min Xie, Xiaofang Zhou
2016	B	`conf`	Summarizing uncertain transaction databases by Probabilistic Tiles. IJCNN Chunyang Liu, Ling Chen
2016	A*	`conf`	Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. ICDM Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2015	—	`conf`	Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph. HT Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ling Chen, Chengqi Zhang
2015	A	`conf`	Defragging Subgraph Features for Graph Classification. CIKM Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang
2015	J	`jnl`	Dynamic User Modeling in Social Media Systems. ACM Trans. Inf. Syst. Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou
2015	A*	`conf`	Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. KDD Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2015	J	`jnl`	Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. CoRR Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2015	J	`jnl`	Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang
2015	B	`conf`	Online diffusion source detection in social networks. IJCNN Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang
2015	B	`conf`	RCP Mining: Towards the Summarization of Spatial Co-location Patterns. SSTD Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang, Weidong Qiu
2015	Misc	`conf`	SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang
2014	—	`conf`	A temporal context-aware model for user behavior modeling in social media systems. SIGMOD Conference Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang
2014	J	`jnl`	LCARS: A Spatial Item Recommender System. ACM Trans. Inf. Syst. Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen
2013	J	`jnl`	Introduction to Special section on Large-scale Data Mining. Data Knowl. Eng. Jie Tang, Ling Chen, Irwin King, Jianyong Wang
2013	A*	`conf`	LCARS: a location-content-aware recommender system. KDD Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen
2013	A*	`conf`	Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. ICDM Li Wan, Ling Chen, Chengqi Zhang
2013	A	`conf`	Mining Probabilistic Representative Frequent Patterns From Uncertain Data. SDM Ling Chen, Chunyang Liu, Chengqi Zhang
2013	B	`conf`	Mining frequent serial episodes over uncertain sequence data. EDBT Li Wan, Ling Chen, Chengqi Zhang
2013	J	`jnl`	Noisy but non-malicious user detection in social recommender systems. World Wide Web Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
2013	A*	`conf`	Summarizing probabilistic frequent patterns: a fast approach. KDD Chunyang Liu, Ling Chen, Chengqi Zhang
2012	—	`conf`	Shot Classification Using Domain Specific Features for Movie Management. DASFAA (2) Muhammad Abul Hasan, Min Xu, Xiangjian He, Ling Chen
2012	A	`conf`	TCSST: transfer classification of short & sparse text using external data. CIKM Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang
2011	—	`ed.`	Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I ADMA (1) Jie Tang, Irwin King, Ling Chen, Jianyong Wang
2011	—	`ed.`	Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II ADMA (2) Jie Tang, Irwin King, Ling Chen, Jianyong Wang
2011	A	`conf`	Semi-supervised Variable Weighting for Clustering. SDM Ling Chen, Chengqi Zhang
2011	—	`conf`	XStreamCluster: An Efficient Algorithm for Streaming XML Data Clustering. DASFAA (1) Odysseas Papapetrou, Ling Chen
2010	—	`conf`	A Refinement Approach to Handling Model Misfit in Semi-supervised Learning. ADMA (2) Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu
2010	—	`conf`	Adaptive local hyperplanes for MTV affective analysis. ICIMCS Min Xu, Ling Chen, Xiangjian He, Changsheng Xu, Jesse S. Jin
2010	—	`conf`	Ranking Difficulty of Knowledge Units Based on Learning Dependency. ICEBE Jun Liu, Sha Sha, Qinghua Zheng, Ling Chen
2009	J	`jnl`	COWES: Web user clustering based on evolutionary web sessions. Data Knowl. Eng. Ling Chen, Sourav S. Bhowmick, Wolfgang Nejdl
2009	A	`conf`	Event detection from flickr data through wavelet-based spatial analysis. CIKM Ling Chen, Abhishek Roy
2009	A	`conf`	Improving music genre classification using collaborative tagging data. WSDM Ling Chen, Phillip Wright, Wolfgang Nejdl
2009	B	`conf`	In the Search of NECTARs from Evolutionary Trees. DASFAA Ling Chen, Sourav S. Bhowmick
2009	J	`jnl`	NEAR-Miner: Mining Evolution Associations of Web Site Directories for Efficient Maintenance of Web Archives. Proc. VLDB Endow. Ling Chen, Sourav S. Bhowmick, Wolfgang Nejdl
2008	A*	`conf`	DECK: Detecting Events from Web Click-Through Data. ICDM Ling Chen, Yiqun Hu, Wolfgang Nejdl
2008	—	`conf`	PHAROS - Personalizing Users' Experience in Audio-Visual Online Spaces. PersDB Raluca Paiu, Ling Chen, Claudiu S. Firan, Wolfgang Nejdl
2008	—	`conf`	The Art of Tagging: Measuring the Quality of Tags. ASWC Ralf Krestel, Ling Chen
2008	A*	`conf`	Using subspace analysis for event detection from web click-through data. WWW Ling Chen, Yiqun Hu, Wolfgang Nejdl
2007	—	`—`	Discovering association rules from structural evolution of tree structured web data Ling Chen
2007	—	`conf`	Discovering information diffusion paths from blogosphere for online advertising. AdKDD@KDD Avaré Stewart, Ling Chen, Raluca Paiu, Wolfgang Nejdl
2007	A*	`conf`	Mirror site maintenance based on evolution associations of web directories. WWW Ling Chen, Sourav S. Bhowmick, Wolfgang Nejdl
2006	B	`conf`	COWES: Clustering Web Users Based on Historical Web Sessions. DASFAA Ling Chen, Sourav S. Bhowmick, Jinyan Li
2006	J	`jnl`	FRACTURE mining: Mining frequently and concurrently mutating structures from historical XML documents. Data Knowl. Eng. Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia
2006	B	`conf`	Mining Temporal Indirect Associations. PAKDD Ling Chen, Sourav S. Bhowmick, Jinyan Li
2006	J	`jnl`	XML structural delta mining: Issues and challenges. Data Knowl. Eng. Qiankun Zhao, Ling Chen, Sourav S. Bhowmick, Sanjay Madria
2005	B	`conf`	Mining Positive and Negative Association Rules from XML Query Patterns for Caching. DASFAA Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia
2004	B	`conf`	Mining Association Rules from Structural Deltas of Historical XML Documents. PAKDD Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia
2004	B	`conf`	Mining Maximal Frequently Changing Subtree Patterns from XML Documents. DaWaK Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia
2004	—	`conf`	VRules: an effective association-based classifier for videos. MMDB Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia