James Caverlee

286 papers A* 42A 76B 4C 3Misc 3Journal 92Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management. CoRR Zhitong Chen, Kai Yin, Xiangjue Dong, Chengkai Liu, Xiangpeng Li, Yiming Xiao, Bo Li, Junwei Ma, Ali Mostafavi, James Caverlee
2026	A	`conf`	Personalization in the Era of Super(?)-intelligence. WSDM James Caverlee
2026	—	`conf`	PromptHelper: A Prompt Recommender System for Encouraging Creativity in AI Chatbot Interactions. CHI Extended Abstracts Jason Kim, Maria Teleki, James Caverlee
2026	J	`jnl`	PromptHelper: A Prompt Recommender System for Encouraging Creativity in AI Chatbot Interactions. CoRR Jason Kim, Maria Teleki, James Caverlee
2026	J	`jnl`	SocialPulse: An Open-Source Subreddit Sensemaking Toolkit. CoRR Stephanie Birkelbach, Maria Teleki, Peter Carragher, Xiangjue Dong, Nehul Bhatnagar, James Caverlee
2026	J	`jnl`	The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs. CoRR Shree Harsha Bokkahalli Satish, Christoph Minixhofer, Maria Teleki, James Caverlee, Ondrej Klejch, Peter Bell, Gustav Eje Henter, Éva Székely
2026	A	`conf`	Third Workshop on Generative AI for Recommender Systems and Personalization. WSDM Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2025	—	`conf`	A Survey on LLMs for Story Generation. EMNLP (Findings) Maria Teleki, Vedangi Bengali, Xiangjue Dong, Sai Janjur, Haoran Liu, Tian Liu, Cong Wang, Ting Liu, Yin Zhang, Frank Shipman, James Caverlee
2025	J	`jnl`	BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs. CoRR Mahsa Valizadeh, Rui Tuo, James Caverlee
2025	J	`jnl`	CHOIR: Collaborative Harmonization fOr Inference Robustness. CoRR Xiangjue Dong, Cong Wang, Maria Teleki, Millennium Bismay, James Caverlee
2025	J	`jnl`	Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu
2025	A	`conf`	Combating Heterogeneous Model Biases in Recommendations via Boosting. WSDM Jinhao Pan, James Caverlee, Ziwei Zhu
2025	J	`jnl`	Complex LLM Planning via Automated Heuristics Discovery. CoRR Hongyi Ling, Shubham Parashar, Sambhav Khurana, Blake Olson, Anwesha Basu, Gaurangi Sinha, Zhengzhong Tu, James Caverlee, Shuiwang Ji
2025	J	`jnl`	Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning. CoRR Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji
2025	J	`jnl`	DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management. CoRR Kai Yin, Xiangjue Dong, Chengkai Liu, Allen Lin, Lingfeng Shi, Ali Mostafavi, James Caverlee
2025	J	`jnl`	DRES: Benchmarking LLMs for Disfluency Removal. CoRR Maria Teleki, Sai Janjur, Haoran Liu, Oliver Grabner, Ketan Verma, Thomas Docog, Xiangjue Dong, Lingfeng Shi, Cong Wang, Stephanie Birkelbach, Jason Kim, Yin Zhang, James Caverlee
2025	—	`conf`	DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management. EMNLP (Findings) Kai Yin, Xiangjue Dong, Chengkai Liu, Lipai Huang, Yiming Xiao, Zhewei Liu, Ali Mostafavi, James Caverlee
2025	J	`jnl`	DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management. CoRR Kai Yin, Xiangjue Dong, Chengkai Liu, Lipai Huang, Yiming Xiao, Zhewei Liu, Ali Mostafavi, James Caverlee
2025	J	`jnl`	Federated Conversational Recommender System. CoRR Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2025	—	`conf`	Flow Matching for Collaborative Filtering. KDD (2) Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee
2025	J	`jnl`	Flow Matching for Collaborative Filtering. CoRR Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee
2025	—	`conf`	GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. ACL (1) Yingjian Chen, Haoran Liu, Yinhong Liu, Jinxiang Xie, Rui Yang, Han Yuan, Yanran Fu, Peng Yuan Zhou, Qingyu Chen, James Caverlee, Irene Li
2025	J	`jnl`	GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. CoRR Yingjian Chen, Haoran Liu, Yinhong Liu, Rui Yang, Han Yuan, Yanran Fu, Pengyuan Zhou, Qingyu Chen, James Caverlee, Irene Li
2025	A	`conf`	I want a horror - comedy - movie: Slips-of-the-Tongue Impact Conversational Recommender System Performance. INTERSPEECH Maria Teleki, Lingfeng Shi, Chengkai Liu, James Caverlee
2025	J	`jnl`	Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights. CoRR Shubham Parashar, Blake Olson, Sambhav Khurana, Eric Li, Hongyi Ling, James Caverlee, Shuiwang Ji
2025	J	`jnl`	Language Models as Semantic Augmenters for Sequential Recommenders. CoRR Mahsa Valizadeh, Xiangjue Dong, Rui Tuo, James Caverlee
2025	A*	`conf`	Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. AAAI Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min
2025	A	`conf`	Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models. ICWSM Maria Teleki, Xiangjue Dong, Haoran Liu, James Caverlee
2025	J	`jnl`	Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models. CoRR Maria Teleki, Xiangjue Dong, Haoran Liu, James Caverlee
2025	—	`conf`	ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning. NAACL (Findings) Millennium Bismay, Xiangjue Dong, James Caverlee
2025	—	`conf`	Second Workshop on Generative AI for Recommender Systems and Personalization. KDD (2) Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2025	J	`jnl`	Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective. CoRR Tian Liu, Anwesha Basu, James Caverlee, Shu Kong
2025	J	`jnl`	Surely Large Multimodal Models (Don't) Excel in Visual Species Recognition? CoRR Tian Liu, Anwesha Basu, James Caverlee, Shu Kong
2025	J	`jnl`	Towards An Efficient LLM Training Paradigm for CTR Prediction. CoRR Allen Lin, Renqin Cai, Yun He, Hanchao Yu, Jing Qian, Rui Li, Qifan Wang, James Caverlee
2025	J	`jnl`	Z-Scores: A Metric for Linguistically Assessing Disfluency Removal. CoRR Maria Teleki, Sai Janjur, Haoran Liu, Oliver Grabner, Ketan Verma, Thomas Docog, Xiangjue Dong, Lingfeng Shi, Cong Wang, Stephanie Birkelbach, Jason Kim, Yin Zhang, James Caverlee
2024	J	`jnl`	A Survey on LLM Inference-Time Self-Improvement. CoRR Xiangjue Dong, Maria Teleki, James Caverlee
2024	A	`conf`	Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CIKM Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
2024	J	`jnl`	Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CoRR Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
2024	A	`conf`	Comparing ASR Systems in the Context of Speech Disfluencies. INTERSPEECH Maria Teleki, Xiangjue Dong, Soohwan Kim, James Caverlee
2024	—	`conf`	Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024	J	`jnl`	Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024	—	`conf`	DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation. LREC/COLING Rohan Chaudhury, Maria Teleki, Xiangjue Dong, James Caverlee
2024	A*	`conf`	DA³: A Distribution-Aware Adversarial Attack against Language Models. EMNLP Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu
2024	J	`jnl`	Disclosure and Mitigation of Gender Bias in LLMs. CoRR Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee
2024	—	`conf`	Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. WWW (Companion Volume) Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
2024	—	`conf`	FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. EMNLP (Findings) Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou
2024	J	`jnl`	FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. CoRR Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou
2024	—	`conf`	Federated Conversational Recommender Systems. ECIR (5) Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2024	J	`jnl`	How to Train Data-Efficient LLMs. CoRR Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
2024	A	`conf`	Improving Data Efficiency for Recommenders and LLMs. RecSys Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2024	—	`conf`	KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. BioNLP@ACL Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li
2024	J	`jnl`	KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. CoRR Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li
2024	—	`conf`	Large Language Models as Data Augmenters for Cold-Start Item Recommendation. WWW (Companion Volume) Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024	J	`jnl`	Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024	J	`jnl`	Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. CoRR Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min
2024	J	`jnl`	Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models. CoRR Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee
2024	—	`conf`	Political Bias of Large Language Models in Few-Shot News Summarization. BIAS Takeshi Onishi, James Caverlee
2024	—	`conf`	Quantifying the Impact of Disfluency on Spoken Content Summarization. LREC/COLING Maria Teleki, Xiangjue Dong, James Caverlee
2024	J	`jnl`	ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning. CoRR Millennium Bismay, Xiangjue Dong, James Caverlee
2024	J	`jnl`	Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2024	A*	`conf`	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. EMNLP Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu
2024	J	`jnl`	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. CoRR Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2024	A*	`conf`	The Neglected Tails in Vision-Language Models. CVPR Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
2024	J	`jnl`	The Neglected Tails of Vision-Language Models. CoRR Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
2024	J	`jnl`	TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering. CoRR Chengkai Liu, Jianling Wang, James Caverlee
2023	J	`jnl`	Automated Data Denoising for Recommendation. CoRR Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang
2023	A*	`conf`	Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance. EMNLP Karthic Madanagopal, James Caverlee
2023	A	`conf`	Closed-book Question Generation via Contrastive Learning. EACL Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
2023	J	`jnl`	Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. CoRR Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
2023	—	`conf`	Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. EMNLP (Findings) Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
2023	J	`jnl`	DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. CoRR Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu
2023	A*	`conf`	Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). KDD Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
2023	A*	`conf`	Enhancing User Personalization in Conversational Recommenders. WWW Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2023	J	`jnl`	Enhancing User Personalization in Conversational Recommenders. CoRR Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2023	J	`jnl`	Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. CoRR Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
2023	—	`conf`	Evolution of Filter Bubbles and Polarization in News Recommendation. ECIR (2) Han Zhang, Ziwei Zhu, James Caverlee
2023	J	`jnl`	Evolution of Filter Bubbles and Polarization in News Recommendation. CoRR Han Zhang, Ziwei Zhu, James Caverlee
2023	A	`conf`	Incorporating Time in Sequential Recommendation Models. RecSys Mostafa Rahmani, James Caverlee, Fei Wang
2023	J	`jnl`	Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation. CoRR Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee
2023	—	`conf`	PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. ACL (Findings) Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
2023	J	`jnl`	PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. CoRR Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
2023	A	`conf`	Reinforced Sequence Training based Subjective Bias Correction. EACL Karthic Madanagopal, James Caverlee
2023	—	`conf`	Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. EMNLP (Findings) Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
2023	J	`jnl`	Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. CoRR Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
2022	J	`jnl`	Closed-book Question Generation via Contrastive Learning. CoRR Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
2022	J	`jnl`	Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). CoRR Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
2022	J	`jnl`	Evolution of Popularity Bias: Empirical Study and Debiasing. CoRR Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
2022	A	`conf`	Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. WSDM Ziwei Zhu, James Caverlee
2022	—	`conf`	Improving Linguistic Bias Detection in Wikipedia using Cross-Domain Adaptive Pre-Training. WWW (Companion Volume) Karthic Madanagopal, James Caverlee
2022	J	`jnl`	Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
2022	A*	`conf`	Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
2022	A*	`conf`	MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. WWW Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
2022	J	`jnl`	MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. CoRR Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
2022	A	`conf`	Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2022	J	`jnl`	Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2022	A*	`conf`	RES: An Interpretable Replicability Estimation System for Research Publications. AAAI Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee
2022	J	`jnl`	Towards Fair Conversational Recommender Systems. CoRR Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2021	A*	`conf`	Fairness among New Items in Cold Start Recommender Systems. SIGIR Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee
2021	J	`jnl`	Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. CoRR Ziwei Zhu, Jianling Wang, James Caverlee
2021	J	`jnl`	Identifying Hijacked Reviews. CoRR Monika Daryani, James Caverlee
2021	J	`jnl`	Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. CoRR Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
2021	A*	`conf`	Popularity Bias in Dynamic Recommendation. KDD Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
2021	A	`conf`	Popularity-Opportunity Bias in Collaborative Filtering. WSDM Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
2021	J	`jnl`	Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models. CoRR Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka, Arjun Manoj Menon, Sai Ajay Modukuri, Nishanth Nakshatri, Xin Wei, Zhuoer Wang, James Caverlee, Sarah Michele Rajtmajer, C. Lee Giles
2021	A*	`conf`	Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. WWW Xing Zhao, Ziwei Zhu, James Caverlee
2021	A*	`conf`	Sequential Recommendation for Cold-start Users with Meta Transitional Learning. SIGIR Jianling Wang, Kaize Ding, James Caverlee
2021	J	`jnl`	Sequential Recommendation for Cold-start Users with Meta Transitional Learning. CoRR Jianling Wang, Kaize Ding, James Caverlee
2021	A	`conf`	Session-based Recommendation with Hypergraph Attention Networks. SDM Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
2021	J	`jnl`	Session-based Recommendation with Hypergraph Attention Networks. CoRR Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
2021	—	`conf`	Towards Ongoing Detection of Linguistic Bias on Wikipedia. WWW (Companion Volume) Karthic Madanagopal, James Caverlee
2021	B	`conf`	Vibe check: social resonance learning for enhanced recommendation. ASONAM Yin Zhang, Yun He, James Caverlee
2021	J	`jnl`	Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2020	A*	`conf`	ADORE: Aspect Dependent Online REview Labeling for Review Generation. SIGIR Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee
2020	A*	`conf`	Adaptive Hierarchical Translation-based Sequential Recommendation. WWW Yin Zhang, Yun He, Jianling Wang, James Caverlee
2020	A*	`conf`	Addressing the Target Customer Distortion Problem in Recommender Systems. WWW Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee
2020	A	`conf`	Consistency-Aware Recommendation for User-Generated Item List Continuation. WSDM Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2020	A	`conf`	Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
2020	A	`conf`	Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. WSDM Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee
2020	—	`conf`	Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. EMNLP (1) Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020	J	`jnl`	Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. CoRR Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020	A	`conf`	Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
2020	A*	`conf`	Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR Ziwei Zhu, Jianling Wang, James Caverlee
2020	A*	`conf`	Next-item Recommendation with Sequential Hypergraphs. SIGIR Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
2020	—	`conf`	PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. EMNLP (1) Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
2020	J	`jnl`	PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. CoRR Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
2020	A*	`conf`	Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. SIGIR Ziwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee
2020	—	`conf`	Recommending Music Curators: A Neural Style-Aware Approach. ECIR (1) Jianling Wang, James Caverlee
2020	A	`conf`	Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. WSDM Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong
2020	—	`conf`	Towards an Automated Writing Assistant for Online Reviews. AutomationXP@CHI Parisa Kaghazgaran, James Caverlee
2020	A	`conf`	Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. RecSys Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
2020	J	`jnl`	Understanding Car-Speak: Replacing Humans in Dealerships. CoRR Habeeb Hooshmand, James Caverlee
2020	A	`conf`	User Recommendation in Content Curation Platforms. WSDM Jianling Wang, Ziwei Zhu, James Caverlee
2020	A	`ed.`	WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 WSDM James Caverlee, Xia (Ben) Hu, Mounia Lalmas, Wei Wang
2019	A	`conf`	A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CIKM Yun He, Jianling Wang, Wei Niu, James Caverlee
2019	J	`jnl`	A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CoRR Yun He, Jianling Wang, Wei Niu, James Caverlee
2019	A	`conf`	A Large-Scale Study of ISIS Social Media Strategy: Community Size, Collective Influence, and Behavioral Impact. ICWSM Majid Alfifi, Parisa Kaghazgaran, James Caverlee, Fred Morstatter
2019	—	`conf`	An Interpretable Neural Model with Interactive Stepwise Influence. PAKDD (3) Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu
2019	J	`jnl`	Consistency-Aware Recommendation for User-Generated ItemList Continuation. CoRR Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2019	A*	`conf`	Improving Top-K Recommendation via JointCollaborative Autoencoders. WWW Ziwei Zhu, Jianling Wang, James Caverlee
2019	A	`conf`	Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence. CIKM Yin Zhang, James Caverlee
2019	J	`jnl`	Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. CoRR Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
2019	A	`conf`	Recurrent Recommendation with Local Coherence. WSDM Jianling Wang, James Caverlee
2019	A	`conf`	TOmCAT: Target-Oriented Crowd Review Attacks and Countermeasures. ICWSM Parisa Kaghazgaran, Majid Alfifi, James Caverlee
2019	J	`jnl`	Tensor Completion Algorithms in Big Data Analytics. ACM Trans. Knowl. Discov. Data Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
2019	A	`conf`	Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures. CIKM Parisa Kaghazgaran, Majid Alfifi, James Caverlee
2018	J	`jnl`	ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Trust and Influence in Intelligent Human-Machine Interaction. ACM Trans. Interact. Intell. Syst. Benjamin A. Knott, Jonathan Gratch, Angelo Cangelosi, James Caverlee
2018	A	`conf`	Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks. CIKM Cheng Cao, Zhengzhang Chen, James Caverlee, Lu-An Tang, Chen Luo, Zhichun Li
2018	A	`conf`	Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach. WSDM Parisa Kaghazgaran, James Caverlee, Anna Cinzia Squicciarini
2018	A	`conf`	CrowdEval: A Cost-Efficient Strategy to Evaluate Crowdsourced Worker's Reliability. AAMAS Chenxi Qiu, Anna Cinzia Squicciarini, Dev Rishi Khare, Barbara Carminati, James Caverlee
2018	—	`ch.`	Data Dictionary. Encyclopedia of Database Systems (2nd ed.) James Caverlee
2018	A*	`conf`	DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark. ICDE Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, James Caverlee
2018	—	`ch.`	Dublin Core. Encyclopedia of Database Systems (2nd ed.) James Caverlee, Prasenjit Mitra, Mary Lynette Larsgaard
2018	J	`jnl`	Editorial. IEEE Trans. Serv. Comput. Victor Bahl, Barbara Carminati, James Caverlee, Ing-Ray Chen, Wynne Hsu, Toru Ishida, Valérie Issarny, Surya Nepal, Indrakshi Ray, Kui Ren, Shamik Sural, Mei-Ling Shyu
2018	J	`jnl`	Fairness-Aware Recommendation of Information Curators. CoRR Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee
2018	A	`conf`	Fairness-Aware Tensor-Based Recommendation. CIKM Ziwei Zhu, Xia Hu, James Caverlee
2018	—	`ch.`	Geography and Web Communities. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. James Caverlee, Zhiyuan Cheng
2018	A*	`conf`	Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization. SIGIR Haokai Lu, Wei Niu, James Caverlee
2018	A*	`conf`	Location-Sensitive User Profiling Using Crowdsourced Labels. AAAI Wei Niu, James Caverlee, Haokai Lu
2018	A	`conf`	Neural Personalized Ranking for Image Recommendation. WSDM Wei Niu, James Caverlee, Haokai Lu
2018	A*	`conf`	Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. ICDM Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
2018	A	`conf`	Quality-aware neural complementary item recommendation. RecSys Yin Zhang, Haokai Lu, Wei Niu, James Caverlee
2018	—	`ch.`	Topic Maps. Encyclopedia of Database Systems (2nd ed.) James Caverlee
2018	—	`conf`	TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. RecSys Challenge Xing Zhao, Qingquan Song, James Caverlee, Xia Hu
2018	—	`conf`	Vitriol on Social Media: Curation and Investigation. SocInfo (1) Xing Zhao, James Caverlee
2017	—	`conf`	Badly Evolved? Exploring Long-Surviving Suspicious Users on Twitter. SocInfo (1) Majid Alfifi, James Caverlee
2017	A	`conf`	Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond. ICWSM Parisa Kaghazgaran, James Caverlee, Majid Alfifi
2017	A*	`conf`	Crowdsourced App Review Manipulation. SIGIR Shanshan Li, James Caverlee, Wei Niu, Parisa Kaghazgaran
2017	A	`conf`	Dynamic Contract Design for Heterogenous Workers in Crowdsourcing for Quality Control. ICDCS Chenxi Qiu, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer, James Caverlee
2017	A*	`conf`	Multi-Aspect Streaming Tensor Completion. KDD Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu
2017	Misc	`conf`	Online Deception Detection Refueled by Real World Data Collection. RANLP Wenlin Yao, Zeyu Dai, Ruihong Huang, James Caverlee
2017	J	`jnl`	Online Deception Detection Refueled by Real World Data Collection. CoRR Wenlin Yao, Zeyu Dai, Ruihong Huang, James Caverlee
2017	J	`jnl`	Tensor Completion Algorithms in Big Data Analytics. CoRR Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
2017	A*	`conf`	What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints. SIGIR Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, James Caverlee
2016	B	`ed.`	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016 ASONAM Ravi Kumar, James Caverlee, Hanghang Tong
2016	A*	`conf`	College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations. AAAI Hancheng Ge, James Caverlee
2016	B	`conf`	Community-based geospatial tag estimation. ASONAM Wei Niu, James Caverlee, Haokai Lu, Krishna Yeswanth Kamath
2016	A	`conf`	CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection. CIKM Chenxi Qiu, Anna Cinzia Squicciarini, Barbara Carminati, James Caverlee, Dev Rishi Khare
2016	A	`conf`	Discovering What You're Known For: A Contextual Poisson Factorization Approach. RecSys Haokai Lu, James Caverlee, Wei Niu
2016	A	`conf`	LExL: A Learning Approach for Local Expert Discovery on Twitter. ECIR Wei Niu, Zhijiao Liu, James Caverlee
2016	J	`jnl`	On Local Expert Discovery via Geo-Located Crowds, Queries, and Candidates. ACM Trans. Spatial Algorithms Syst. Wei Niu, Zhijiao Liu, James Caverlee
2016	A	`conf`	TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. RecSys Hancheng Ge, James Caverlee, Haokai Lu
2016	A	`conf`	Uncovering the Spatio-Temporal Dynamics of Memes in the Presence of Incomplete Information. CIKM Hancheng Ge, James Caverlee, Nan Zhang, Anna Cinzia Squicciarini
2015	A	`conf`	A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media. ECIR Yuan Liang, James Caverlee, Cheng Cao
2015	A	`conf`	BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media. CIKM Haokai Lu, James Caverlee, Wei Niu
2015	—	`conf`	Creating Diverse Product Review Summaries: A Graph Approach. WISE (1) Natwar Modani, Elham Khabiri, Harini Srinivasan, James Caverlee
2015	A	`conf`	Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace. ICWSM Hancheng Ge, James Caverlee, Kyumin Lee
2015	A	`conf`	Detecting Spam URLs in Social Media via Behavioral Analysis. ECIR Cheng Cao, James Caverlee
2015	A	`conf`	Exploiting Geo-Spatial Preference for Personalized Expert Recommendation. RecSys Haokai Lu, James Caverlee
2015	A	`conf`	Organic or Organized?: Exploring URL Sharing Behavior. CIKM Cheng Cao, James Caverlee, Kyumin Lee, Hancheng Ge, Jin-Wook Chung
2015	A*	`conf`	SIGIR 2015 Workshop on Temporal, Social and Spatially-aware Information Access (#TAIA2015). SIGIR Klaus Berberich, James Caverlee, Miles Efron, Claudia Hauff, Vanessa Murdock, Milad Shokouhi, Bart Thomee
2015	A*	`conf`	Uncovering Crowdsourced Manipulation of Online Reviews. SIGIR Amir Fayazi, Kyumin Lee, James Caverlee, Anna Cinzia Squicciarini
2014	B	`conf`	Behavioral detection of spam URL sharing: Posting patterns versus click patterns. ASONAM Cheng Cao, James Caverlee
2014	A	`conf`	DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. CIKM Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, Yi Zeng, Liang Chen, John O'Donovan
2014	—	`conf`	Finding local experts on twitter. WWW (Companion Volume) Zhiyuan Cheng, James Caverlee, Himanshu Barthwal, Vandana Bachani
2014	—	`ed.`	Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD@CIKM 2014, Shanghai, China, November 3, 2014 DUBMOD@CIKM Jalal Mahmud, James Caverlee, Jeffrey Nichols, John O'Donovan, Michelle X. Zhou, Yi Zeng, Liang Chen
2014	J	`jnl`	Report on the WebQuality 2014 Workshop. SIGIR Forum Adam Jatowt, Carlos Castillo, James Caverlee, Katsumi Tanaka
2014	—	`conf`	Social spam, campaigns, misinformation and crowdturfing. WWW (Companion Volume) Kyumin Lee, James Caverlee, Calton Pu
2014	A*	`conf`	Who is the barbecue king of texas?: a geo-spatial approach to finding local experts on twitter. SIGIR Zhiyuan Cheng, James Caverlee, Himanshu Barthwal, Vandana Bachani
2013	J	`jnl`	A content-driven framework for geolocating microblog users. ACM Trans. Intell. Syst. Technol. Zhiyuan Cheng, James Caverlee, Kyumin Lee
2013	—	`conf`	Board Recommendation in Pinterest. UMAP Workshops Krishna Yeswanth Kamath, Ana-Maria Popescu, James Caverlee
2013	—	`conf`	Board coherence in Pinterest: non-visual aspects of a visual site. WWW (Companion Volume) Krishna Yeswanth Kamath, Ana-Maria Popescu, James Caverlee
2013	J	`jnl`	Campaign extraction from social media. ACM Trans. Intell. Syst. Technol. Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel Z. Sui
2013	A	`conf`	Combating Threats to Collective Attention in Social Media: An Evaluation. ICWSM Kyumin Lee, Krishna Yeswanth Kamath, James Caverlee
2013	A	`conf`	Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media. ICWSM Kyumin Lee, Prithivi Tamilarasan, James Caverlee
2013	A	`conf`	DUBMOD13: international workshop on data-driven user behavioral modelling and mining from social media. CIKM Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, John O'Donovan
2013	J	`jnl`	Editorial for CollaborateCom 2011 Special Issue. Mob. Networks Appl. James Caverlee, Calton Pu, Dimitrios Georgakopoulos, James Joshi
2013	—	`ch.`	Exploitation in Human Computation Systems. Handbook of Human Computation James Caverlee
2013	—	`conf`	How big is the crowd?: event and location based population modeling in social media. HT Yuan Liang, James Caverlee, Zhiyuan Cheng, Krishna Yeswanth Kamath
2013	A	`conf`	Location prediction in social media based on tie strength. CIKM Jeffrey McGee, James Caverlee, Zhiyuan Cheng
2013	—	`conf`	Mining Potential Domain Expertise in Pinterest. UMAP Workshops Ana-Maria Popescu, Krishna Yeswanth Kamath, James Caverlee
2013	—	`ed.`	Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013 DUBMOD@CIKM Jalal Mahmud, James Caverlee, Jeffrey Nichols, John O'Donovan, Michelle X. Zhou
2013	A*	`conf`	Spatio-temporal dynamics of online memes: a study of geo-tagged tweets. WWW Krishna Yeswanth Kamath, James Caverlee, Kyumin Lee, Zhiyuan Cheng
2013	A	`conf`	Spatio-temporal meme prediction: learning what hashtags will be popular where. CIKM Krishna Yeswanth Kamath, James Caverlee
2013	—	`conf`	Text vs. images: on the viability of social media to assess earthquake damage. WWW (Companion Volume) Yuan Liang, James Caverlee, John Mander
2013	J	`jnl`	Towards Geo-Social Intelligence: Mining, Analyzing, and Leveraging Geospatial Footprints in Social Media. IEEE Data Eng. Bull. James Caverlee, Zhiyuan Cheng, Daniel Z. Sui, Krishna Yeswanth Kamath
2012	A	`conf`	Content-based crowd retrieval on the real-time web. CIKM Krishna Yeswanth Kamath, James Caverlee
2012	A	`conf`	DUBMMSM'12: international workshop on data-driven user behavioral modeling and mining from social media. CIKM Jalal Mahmud, James Caverlee, Jeffrey Nichols, John O'Donovan, Michelle X. Zhou
2012	—	`conf`	Detecting collective attention spam. WebQuality@WWW Kyumin Lee, James Caverlee, Krishna Yeswanth Kamath, Zhiyuan Cheng
2012	J	`jnl`	Predicting community preference of comments on the Social Web. Web Intell. Agent Syst. Chiao-Fang Hsu, James Caverlee, Elham Khabiri
2012	—	`conf`	Predicting semantic annotations on the real-time web. HT Elham Khabiri, James Caverlee, Krishna Yeswanth Kamath
2012	—	`ed.`	Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, DUBMMSM 2012, October 29, 2012, Maui, Hawaii, USA DUBMMSM Jalal Mahmud, James Caverlee, Jeffrey Nichols, John O'Donovan, Michelle X. Zhou
2012	—	`conf`	Public checkins versus private queries: measuring and evaluating spatial preference. LBSN@GIS James Caverlee, Zhiyuan Cheng, Wai Gen Yee, Roger Liew, Yuan Liang
2012	A	`conf`	Spatial influence vs. community influence: modeling the global spread of social media. CIKM Krishna Yeswanth Kamath, James Caverlee, Zhiyuan Cheng, Daniel Z. Sui
2012	J	`jnl`	Temporal dynamics of communities in social bookmarking systems. Soc. Netw. Anal. Min. Said Kashoob, James Caverlee
2011	A	`conf`	A geographic study of tie strength in social media. CIKM Jeffrey McGee, James Caverlee, Zhiyuan Cheng
2011	A	`conf`	Content-driven detection of campaigns in social media. CIKM Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel Z. Sui
2011	A*	`conf`	CrowdTracker: enabling community-based real-time web monitoring. SIGIR James Caverlee, Zhiyuan Cheng, Brian Eoff, Chiao-Fang Hsu, Krishna Yeswanth Kamath, Jeffrey McGee
2011	A	`conf`	Discovering trending phrases on information streams. CIKM Krishna Yeswanth Kamath, James Caverlee
2011	—	`conf`	Expert-Driven Topical Classification of Short Message Streams. SocialCom/PASSAT Krishna Yeswanth Kamath, James Caverlee
2011	A	`conf`	Exploring Millions of Footprints in Location Sharing Services. ICWSM Zhiyuan Cheng, James Caverlee, Kyumin Lee, Daniel Z. Sui
2011	Misc	`conf`	Hierarchical comments-based clustering. SAC Chiao-Fang Hsu, James Caverlee, Elham Khabiri
2011	A	`conf`	Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter. ICWSM Kyumin Lee, Brian David Eoff, James Caverlee
2011	A	`conf`	Summarizing User-Contributed Comments. ICWSM Elham Khabiri, James Caverlee, Chiao-Fang Hsu
2011	A	`conf`	Toward traffic-driven location-based web search. CIKM Zhiyuan Cheng, James Caverlee, Krishna Yeswanth Kamath, Kyumin Lee
2011	A	`conf`	Transient crowd discovery on the real-time social web. WSDM Krishna Yeswanth Kamath, James Caverlee
2010	Misc	`conf`	A Summary of Granular Computing System Vulnerabilities: Exploring the Dark Side of Social Networking Communities. GrC Steve Webb, James Caverlee, Calton Pu
2010	—	`conf`	Community-based ranking of the social web. HT Said Kashoob, James Caverlee, Krishna Yeswanth Kamath
2010	A	`conf`	Devils, Angels, and Robots: Tempting Destructive Users in Social Media. ICWSM Kyumin Lee, Brian David Eoff, James Caverlee
2010	A	`conf`	Identifying hotspots on the real-time web. CIKM Krishna Yeswanth Kamath, James Caverlee
2010	J	`jnl`	PageRank for ranking authors in co-citation networks CoRR Ying Ding, Erjia Yan, Arthur R. Frazho, James Caverlee
2010	C	`conf`	SocialTrust++: Building community-based trust in Social Information Systems. CollaborateCom James Caverlee, Zhiyuan Cheng, Brian Eoff, Chiao-Fang Hsu, Krishna Yeswanth Kamath, Said Kashoob, Jeremy Kelley, Elham Khabiri, Kyumin Lee
2010	J	`jnl`	The SocialTrust framework for trusted social information management: Architecture and algorithms. Inf. Sci. James Caverlee, Ling Liu, Steve Webb
2010	A*	`conf`	The social honeypot project: protecting online communities from spammers. WWW Kyumin Lee, James Caverlee, Steve Webb
2010	A*	`conf`	Uncovering social spammers: social honeypots + machine learning. SIGIR Kyumin Lee, James Caverlee, Steve Webb
2010	A	`conf`	You are where you tweet: a content-based approach to geo-locating twitter users. CIKM Zhiyuan Cheng, James Caverlee, Kyumin Lee
2009	A	`conf`	A Categorical Model for Discovering Latent Structure in Social Annotations. ICWSM Said Kashoob, James Caverlee, Ying Ding
2009	J	`jnl`	A Parameterized Approach to Spam-Resilient Link Analysis of the Web. IEEE Trans. Parallel Distributed Syst. James Caverlee, Steve Webb, Ling Liu, William B. Rouse
2009	A	`conf`	Analyzing and Predicting Community Preference of Socially Generated Metadata: A Case Study on Comments in the Digg Community. ICWSM Elham Khabiri, Chiao-Fang Hsu, James Caverlee
2009	—	`ch.`	Data Dictionary. Encyclopedia of Database Systems James Caverlee
2009	—	`ch.`	Dublin Core. Encyclopedia of Database Systems James Caverlee, Prasenjit Mitra, Mary Laarsgard
2009	—	`ch.`	Granular Computing System Vulnerabilities: Exploring the Dark Side of Social Networking Communities. Encyclopedia of Complexity and Systems Science Steve Webb, James Caverlee, Calton Pu
2009	J	`jnl`	PageRank for ranking authors in co-citation networks. J. Assoc. Inf. Sci. Technol. Ying Ding, Erjia Yan, Arthur R. Frazho, James Caverlee
2009	—	`conf`	Probabilistic Generative Models of the Social Annotation Process. CSE (4) Said Kashoob, James Caverlee, Elham Khabiri
2009	J	`jnl`	Profiling Social Networks: A Social Tagging Perspective. D Lib Mag. Ying Ding, Elin K. Jacob, James Caverlee, Michael A. H. Fried, Zhixiong Zhang
2009	—	`conf`	Ranking Comments on the Social Web. CSE (4) Chiao-Fang Hsu, Elham Khabiri, James Caverlee
2009	—	`ch.`	Topic Maps. Encyclopedia of Database Systems James Caverlee
2008	A	`conf`	A Large-Scale Study of MySpace: Observations and Implications for Online Social Networks. ICWSM James Caverlee, Steve Webb
2008	—	`conf`	Exploring Feedback Models in Interactive Tagging. Web Intelligence Robert Graham, James Caverlee
2008	A*	`conf`	Plurality: a context-aware personalized tagging system. WWW Robert Graham, Brian Eoff, James Caverlee
2008	A	`conf`	Predicting web spam with HTTP session information. CIKM Steve Webb, James Caverlee, Calton Pu
2008	—	`conf`	Social Honeypots: Making Friends With A Spammer Near You. CEAS Steve Webb, James Caverlee, Calton Pu
2008	—	`conf`	Socialtrust: tamper-resilient trust establishment in online communities. JCDL James Caverlee, Ling Liu, Steve Webb
2008	A*	`conf`	Towards robust trust establishment in web-based social networks with socialtrust. WWW James Caverlee, Ling Liu, Steve Webb
2007	—	`conf`	Characterizing Web Spam Using Content and HTTP Session Analysis. CEAS Steve Webb, James Caverlee, Calton Pu
2007	A*	`conf`	Countering web spam with credibility-based link analysis. PODC James Caverlee, Ling Liu
2007	A*	`conf`	DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web. ICDE Bhuvan Bamba, Ling Liu, James Caverlee, Vaibhav Padliya, Mudhakar Srivatsa, Tushar Bansal, Mahesh Palekar, Joseph Patrao, Suiyang Li, Aameek Singh
2007	J	`jnl`	Development of Distance Measures for Process Mining, Discovery and Integration. Int. J. Web Serv. Res. Joonsoo Bae, Ling Liu, James Caverlee, Liang-Jie Zhang, Hyerim Bae
2007	J	`jnl`	Service Class Driven Dynamic Data Source Discovery with DynaBot. Int. J. Web Serv. Res. Daniel Rocco, James Caverlee, Ling Liu, Terence Critchlow
2007	A	`conf`	Spam-Resilient Web Rankings via Influence Throttling. IPDPS James Caverlee, Steve Webb, Ling Liu
2007	—	`—`	Tamper-Resilient Methods for Web-Based Open Systems. James Caverlee
2007	J	`jnl`	Workflow management for enterprise transformation. Inf. Knowl. Syst. Manag. James Caverlee, Joonsoo Bae, Qinyi Wu, Ling Liu, Calton Pu, William B. Rouse
2006	J	`jnl`	Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach. World Wide Web James Caverlee, Ling Liu, Daniel Rocco
2006	A*	`conf`	Distributed query sampling: a quality-conscious approach. SIGIR James Caverlee, Ling Liu, Joonsoo Bae
2006	—	`conf`	Introducing the Webb Spam Corpus: Using Email Spam to Identify Web Spam Automatically. CEAS Steve Webb, James Caverlee, Calton Pu
2006	C	`conf`	Link-Based Ranking of the Web with Source-Centric Collaboration. CollaborateCom James Caverlee, Ling Liu, William B. Rouse
2006	—	`conf`	Process Mining by Measuring Process Block Similarity. Business Process Management Workshops Joonsoo Bae, James Caverlee, Ling Liu, Hua Yan
2006	A	`conf`	Process Mining, Discovery, and Integration using Distance Measures. ICWS Joonsoo Bae, Ling Liu, James Caverlee, William B. Rouse
2006	J	`jnl`	XWRAPComposer: A Multi-Page Data Extraction Service. Int. J. Web Serv. Res. Ling Liu, Jianjun Zhang, Wei Han, Calton Pu, James Caverlee, Sungkeun Park, Terence Critchlow, David Buttler, Matthew Coleman
2005	J	`jnl`	A methodical approach to extracting interesting objects from dynamic web pages. Int. J. Web Grid Serv. Ling Liu, David Buttler, James Caverlee, Calton Pu, Jianjun Zhang
2005	A	`conf`	Domain-Specific Web Service Discovery with Service Class Descriptions. ICWS Daniel Rocco, James Caverlee, Ling Liu, Terence Critchlow
2005	—	`conf`	Exploiting the deep web with DynaBot: matching, probing, and ranking. WWW (Special interest tracks and posters) Daniel Rocco, James Caverlee, Ling Liu, Terence Critchlow
2005	J	`jnl`	QA-Pagelet: Data Preparation Techniques for Large-Scale Data Analysis of the Deep Web. IEEE Trans. Knowl. Data Eng. James Caverlee, Ling Liu
2005	C	`conf`	XPACK: A High-Performance WEB Document Encoding. WEBIST Daniel Rocco, James Caverlee, Ling Liu
2005	—	`conf`	XWRAPComposer: A Multi-Page Data Extraction Service for Bio-Computing Applications. IEEE SCC Ling Liu, Jianjun Zhang, Wei Han, Calton Pu, James Caverlee, Sungkeun Park, Terence Critchlow, Matthew Coleman, David Buttler
2004	A	`conf`	Discovering and ranking web services with BASIL: a personalized approach with biased focus. ICSOC James Caverlee, Ling Liu, Daniel Rocco
2004	A*	`conf`	Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web. ICDE James Caverlee, Ling Liu, David Buttler