Dell Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 53

Top Venues

Publications

Shiping Wang, Sujia Huang, Zhihao Wu, Rui Liu, Yong Chen, Dell Zhang
Heterogeneous graph convolutional network for multi-view semi-supervised classification. Neural Networks 178 (2024)
Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction. CoRR (2024)
Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. CoRR (2024)
Yihan Mei, Xinyu Wang, Dell Zhang, Xiaoling Wang
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy. CoRR (2024)
Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour
Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23). CoRR (2023)
Dell Zhang, Bilyana Taneva-Popova
A Theoretical Analysis of Out-of-Distribution Detection in Multi-Label Classification. ICTIR (2023)
Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li
Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract). ICDE (2023)
Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier
Making a Computational Attorney. SDM (2023)
Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He
Uncertainty Quantification for Text Classification. SIGIR (2023)
Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova
Uncertainty Quantification for Text Classification. ECIR (3) (2023)
Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang
Context-Aware Classification of Legal Document Pages. SIGIR (2023)
Rui Liu, Bin Yin, Ziyi Cao, Qianchen Xia, Yong Chen, Dell Zhang
PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning. CoRR (2023)
Dell Zhang, Alina Petrova, Dietrich Trautmann, Frank Schilder
Unleashing the Power of Large Language Models for Legal Applications. CIKM (2023)
Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang
Context-Aware Classification of Legal Document Pages. CoRR (2023)
Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour
The 3rd International Workshop on Mining and Learning in the Legal Domain. CIKM (2023)
Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier
Making a Computational Attorney. CoRR (2023)
Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, Xiaoling Wang
Micro-Behavior Encoding for Session-based Recommendation. ICDE (2022)
Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, Xiaoling Wang
Micro-Behavior Encoding for Session-based Recommendation. CoRR (2022)
Chaoqi Zhen, Yanlei Shang, Xiangyu Liu, Yifei Li, Yong Chen, Dell Zhang
A Survey on Knowledge-Enhanced Pre-trained Language Models. CoRR (2022)
Wang Qi, Rui Liu, Yuan Zuo, Yong Chen, Dell Zhang
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence. CoRR (2022)
Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li
Forgetting Fast in Recommender Systems. CoRR (2022)
Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information? CoRR (2021)
Dell Zhang, Jun Wang
Recommendation Fairness: From Static to Dynamic. CoRR (2021)
Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin, Dell Zhang
Long-Tail Hashing. SIGIR (2021)
Alexander Kuhnle, Miguel Aroca-Ouellette, Anindya Basu, Murat Sensoy, John Reid, Dell Zhang
Reinforcement Learning for Information Retrieval. SIGIR (2021)
Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas
On the Evaluation of Intelligence Process Automation. CoRR (2020)
Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang
Strongly Constrained Discrete Hashing. IEEE Trans. Image Process. 29 (2020)
Martyn Harris, Mark Levene, Dell Zhang, Dan Levene
Comparing "parallel passages" in digital archives. J. Documentation 76 (1) (2020)
Dell Zhang, André Freitas, Dacheng Tao, Dawn Song
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20). CoRR (2020)
Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Rui Liu, Huilin Peng, Yong Chen, Dell Zhang
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network. IJCAI (2020)
Dell Zhang, Alexander Kuhnle, Julian Richardson, Murat Sensoy
Process Discovery for Structured Program Synthesis. CoRR (2020)
Zhibao Tian, Hui Zhang, Yong Chen, Dell Zhang
Unsupervised hashing based on the recovery of subspace structures. Pattern Recognit. 103 (2020)
Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang
Factorized Q-learning for large-scale multi-agent systems. DAI (2019)
Andrius Mudinas, Dell Zhang, Mark Levene
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward. CoRR (2019)
Dan Andrei Calian, Peter Roelants, Jacques Calì, Ben Carr, Krishna Dubba, John E. Reid, Dell Zhang
SCRAM: Spatially Coherent Randomized Attention Maps. CoRR (2019)
Dell Zhang, Jiahao Yuan, Xiaoling Wang, Adam Foster
Probabilistic Verb Selection for Data-to-Text Generation. Trans. Assoc. Comput. Linguistics 6 (2018)
Suneel Kumar Kingrani, Mark Levene, Dell Zhang
A Meta-Evaluation of Evaluation Methods for Diversified Search. ECIR (2018)
Suneel Kumar Kingrani, Mark Levene, Dell Zhang
Estimating the number of clusters using diversity. Artif. Intell. Res. 7 (1) (2018)
Martyn Harris, Mark Levene, Dell Zhang, Dan Levene
Finding Parallel Passages in Cultural Heritage Archives. ACM Journal on Computing and Cultural Heritage 11 (3) (2018)
Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang
On the Equilibrium of Query Reformulation and Document Retrieval. ICTIR (2018)
Andrius Mudinas, Dell Zhang, Mark Levene
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora. Trans. Assoc. Comput. Linguistics 6 (2018)
Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu
Factorized Q-Learning for Large-Scale Multi-Agent Systems. CoRR (2018)
Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang
On the Equilibrium of Query Reformulation and Document Retrieval. CoRR (2018)
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. CoRR (2017)
Igor Volzhanin, Ulrike Hahn, Dell Zhang, Stephan Hartmann
Rank Aggregation and Belief Revision Dynamics. CogSci (2017)
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR (2017)
Martyn Harris, Mark Levene, Dell Zhang, Dan Levene
The Anatomy of a Search and Mining System for Digital Archives. CoRR (2016)
Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Dell Zhang
A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering. WSDM (2016)
Wendi Ji, Xiaoling Wang, Dell Zhang
A Probabilistic Multi-Touch Attribution Model for Online Advertising. CIKM (2016)
Chaofeng Sha, Keqiang Wang, Dell Zhang, Xiaoling Wang, Aoying Zhou
Optimizing top-k retrieval: submodularity analysis and search strategies. Frontiers Comput. Sci. 10 (3) (2016)
Dell Zhang, Jun Wang, Emine Yilmaz, Xiaoling Wang, Yuxin Zhou
Bayesian Performance Comparison of Text Classifiers. SIGIR (2016)
Dell Zhang, Jun Wang, Xiaoxue Zhao
Estimating the Uncertainty of Average F1 Scores. ICTIR (2015)
Suneel Kumar Kingrani, Mark Levene, Dell Zhang
Diversity Analysis of Web Search Results. WebSci (2015)
Dell Zhang, Jun Wang, Xiaoxue Zhao, Xiaoling Wang
A Bayesian Hierarchical Model for Comparing Average F1 Scores. ICDM (2015)
Martyn Harris, Mark Levene, Dell Zhang, Dan Levene
The anatomy of a search and mining system for digital humanities. JCDL (2014)
Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang
Introduction to the Special Issue on Diversity and Discovery in Recommender Systems. ACM Trans. Intell. Syst. Technol. 5 (4) (2014)
Chaofeng Sha, Keqiang Wang, Dell Zhang, Xiaoling Wang, Aoying Zhou
Optimizing Top-k Retrieval: Submodularity Analysis and Search Strategies. WAIM (2014)
Long Chen, Dell Zhang, Mark Levene
Question retrieval with user intent. SIGIR (2013)
Long Chen, Dell Zhang, Mark Levene
Understanding and Exploiting User's Navigational Intent in Community Question Answering. AIRS (2013)
Natraj Raman, Stephen J. Maybank, Dell Zhang
Action classification using a discriminative non-parametric Hidden Markov Model. ICMV (2013)
Long Chen, Dell Zhang, Mark Levene
Identifying Local Questions in Community Question Answering. AIRS (2012)
Dell Zhang, Karl Prior, Mark Levene, Robert Mao, Diederik van Liere
Leave or Stay: The Departure Dynamics of Wikipedia Editors. ADMA (2012)
Guido Zuccon, Leif Azzopardi, Dell Zhang, Jun Wang
Top-k Retrieval Using Facility Location Analysis. ECIR (2012)
Long Chen, Dell Zhang, Mark Levene
Understanding user intent in community question answering. WWW (Companion Volume) (2012)
Dell Zhang, Karl Prior, Mark Levene
How long do Wikipedia editors keep active? WikiSym (2012)
Dell Zhang, Robert Mao, Haitao Li, Joanne Mao
How to Count Thumb-Ups and Thumb-Downs: User-Rating Based Ranking of Items from an Axiomatic Perspective. ICTIR (2011)
Dell Zhang
Wikipedia Edit Number Prediction based on Temporal Dynamics Only CoRR (2011)
Dell Zhang, Robert Mao, Haitao Li, Joanne Mao
How to count thumb-ups and thumb-downs?: an information retrieval approach to user-rating based ranking of items. SIGIR (2011)
Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang
Workshop on novelty and diversity in recommender systems - DiveRS 2011. RecSys (2011)
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
Laplacian Co-hashing of Terms and Documents. ECIR (2010)
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
Self-Taught Hashing for Fast Similarity Search CoRR (2010)
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
Self-taught hashing for fast similarity search. SIGIR (2010)
Dell Zhang, Robert Mao, Wei Li
The recurrence dynamics of social tagging. WWW (2009)
Dell Zhang, Jinsong Lu
Batch-Mode Computational Advertising Based on Modern Portfolio Theory. ICTIR (2009)
Dell Zhang, Jinsong Lu
What queries are likely to recur in web search? SIGIR (2009)
Jun Wang, Shi Zhou, Dell Zhang
Bridging the gap: complex networks meet information and knowledge management. CIKM (2009)
Dell Zhang, Jinsong Lu, Robert Mao, Jian-Yun Nie
Time-Sensitive Language Modelling for Online Term Recurrence Prediction. ICTIR (2009)
Dell Zhang, Wee Sun Lee
Query-By-Multiple-Examples using Support Vector Machines. J. Digit. Inf. Manag. 7 (4) (2009)
Dell Zhang, Wee Sun Lee
Learning with support vector machines for query-by-multiple-examples. SIGIR (2008)
Dell Zhang, Robert Mao
Extracting community structure features for hypertext classification. ICDIM (2008)
Dell Zhang, Wee Sun Lee
Learning classifiers without negative examples: A reduction approach. ICDIM (2008)
Dell Zhang, Robert Mao
Classifying networked entities with modularity kernels. CIKM (2008)
Dell Zhang, Zheng Zhu
A fast approximate algorithm for large-scale Latent Semantic Indexing. ICDIM (2008)
Dell Zhang, Wee Sun Lee
Extracting key-substring-group features for text classification. KDD (2006)
Dell Zhang, Wee Sun Lee
Learning to Separate Text Content and Style for Classification. AIRS (2006)
Dell Zhang, Xi Chen, Wee Sun Lee
Text classification with kernels on the multinomial manifold. SIGIR (2005)
Dell Zhang, Xiaoling Wang, Yisheng Dong
Web Taxonomy Integration Using Spectral Graph Transducer. ER (2004)
Dell Zhang
Web Based Question Answering with Aggregation Strategy. APWeb (2004)
Dell Zhang, Wee Sun Lee
Web taxonomy integration through co-bootstrapping. SIGIR (2004)
Dell Zhang, Wee Sun Lee
Web taxonomy integration using support vector machines. WWW (2004)
Dell Zhang, Wee Sun Lee
Learning to integrate web taxonomies. J. Web Semant. 2 (2) (2004)
Dell Zhang, Yisheng Dong
Semantic, Hierarchical, Online Clustering of Web Search Results. APWeb (2004)
Dell Zhang, Wee Sun Lee
Experience of Using SVM for the Triage Task in TREC 2004 Genomics Track. TREC (2004)
Dell Zhang, Wee Sun Lee
Question classification using support vector machines. SIGIR (2003)
Dell Zhang, Wee Sun Lee
A Language Modeling Approach to Passage Question Answering. TREC (2003)
Dell Zhang, Wee Sun Lee
Web Based Pattern Mining and Matching Approach to Question Answering. TREC (2002)
Dell Zhang, Yisheng Dong
A novel Web usage mining approach for search engines. Comput. Networks 39 (3) (2002)
Dell Zhang, Yisheng Dong
An efficient algorithm to rank Web resources. Comput. Networks 33 (1-6) (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dell Zhang