Publications (selected)
2023
§ Recitation-Augmented
Language Models. Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou. ICLR 2023.
§
Long-tailed Extreme Multi-label
Text Classification with Generated Pseudo Label Descriptions. Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei: EACL 2023.
§
2022
§
DIMES: A Differentiable Meta
Solver for Combinatorial Optimization Problems. Ruizhong Qiu*, Zhiqing Sun*, Yiming Yang: NeurIPS 2022.
§
Sparse Attention
with Learning to Hash. Zhiqing Sun, Yiming Yang, Shinjae Yoo.
ICLR 2022
§ Exploiting Local and Global
Features in Transformer-based Extreme Multi-label Text Classification. Ruohong Zhang, Yau-Shian
Wang, Yiming Yang, Tom Vu, Likun Lei.
CoRR abs/2204.00933 (2022)
§ Memory-assisted prompt editing to
improve GPT-3 after deployment. Aman Madaan*, Niket Tandon*, Peter Clark, and Yiming Yang: EM-NLP 2022.
§ Conditional
set generation using Seq2seq model. Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, and Antoine Bosselu: EM-NLP 2022.
§ Language Models of Code are Few-Shot Commonsense Learners (CoCoGen). Aman Madaan,
Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig: EM-NLP 2022.
§ FLOWGEN:
Fast and slow graph generation. Aman Madaan, Yiming Yang. Dynamic Neural Networks Workshop at ICML 2022.
§ Learning to Repair: Repairing model
output errors after deployment using a dynamic memory of feedback. Niket Tandon*, Aman Madaan*, Peter Clark, and
Yiming Yang: NAACL 2022 (Findings)
§ PAL: Program-aided Language Models. Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig. CoRR abs/2211.10435 (2022)
§
JAKET: Joint Pre-training of Knowledge
Graph and Language Understanding. Donghan Yu, Chenguang
Zhu, Yiming Yang, Michael Zeng. AAAI 2022: 11630-11638
§
KG-FiD:
Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question
Answering. Donghan Yu, Chenguang
Zhu, Yuwei Fang, Wenhao
Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael
Zeng: ACL (1) 2022: 4961-4974
2021
§
Rethinking
Transformer-based Set Prediction for Object Detection. [pdf]
Zhiqing Sun, Shengcao Cao, Yiming
Yang, Kris Kitani. ICCV 2021.
§
Enhancing
Summarization with Text Classification via Topic Consistency [pdf] Jingzhou Liu and Yiming
Yang. ECML 2021.
§ Unsupervised Extractive Text Summarization with
Distance-Augmented Sentence Graphs. [pdf]
Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang. SIGIR 2021: 2313-2317
§
Could
you give me a hint? Generating inference graphs for defeasible reasoning. [pdf] Aman Madaan, Dheeraj Rajagopal, Niket
Tandon, Yiming Yang, Eduard H. Hovy. ACL/IJCNLP (Findings) 2021: 5138-5147.
§
Meta
Back-translation [pdf] Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig. ICLR 2021.
§ Generalized
Multi-Relational Graph Convolution Networks [pdf] Donghan Yu, Yiming
Yang, Ruohong Zhang, Yuexin Wu. WWW 2021.
§ Neural
language modeling for contextualized temporal graph generation [pdf] Aman Madaan
and Yiming Yang. NAACL 2021
2020
- Graph-Revised Convolutional Network
[pdf] Donghan Yu, Ruohong Zhang, Zhengbao
Jiang, Yuexin Wu, Yiming Yang. ECML-PKDD 2020
- Correlation-Aware Change-Point Detection
via Graph Neural Networks [pdf] Ruohong
Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang International Conference on Neural Information
Processing, 555-567 2020 Item Recommendation for Word-of-Mouth Scena
(ICONIP) 2020: 555-567
- Funnel-Transformer: Filtering out
Sequential Redundancy for Efficient Language Processing [pdf] Guokun Lai*, Zihang
Dai*, Yiming
Yang, Quoc Le NeurLPS 2020
- VIOLIN: A Large-Scale Dataset for
Video-and-Language Inference [pdf] Jingzhou Liu, Wenhu Chen, Yu
Cheng, Zhe Gan, Licheng
Yu, Yiming
Yang Conference on
Computer Vision and Pattern Recognition (CVPR), 2020
- Going Beyond Token-level
Pre-training for Embedding-based Large-scale Retrieval [pdf] Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar. ICLR 2020
- Taming Pre-trained Transformers for
eXtreme Multi-label Text Classification [pdf] Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon. KDD 2020
- Cross-lingual Alignment vs Joint
Training: A Comparative Study and A Simple Unified Framework [pdf] Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang,
Graham Neubig, Jaime G. Carbonell. ICLR 2020
- MobileBERT: a Compact Task-Agnostic BERT for
Resource-Limited Devices [pdf] Zhiqing
Sun, Hongkun Yu, Xiaodan
Song, Renjie Liu, Yiming Yang, Denny Zhou. Association
for Computational Linguistics (ACL), 2020.
- An EM Approach to
Non-autoregressive Conditional Sequence Generations [pdf]
Zhiqing Sun Yiming
Yang. International
Conference on Machine Learning (ICML), 2020.
- A Re-evaluation of Knowledge Graph
Completion Methods [pdf] Zhiqing
Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar, Yiming Yang Association for
Computational Linguistics (ACL), 2020 (Short Paper)
- Predicting Performance for Natural
Language Processing [pdf] Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang and Graham Neubig. Association for Computational Linguistics (ACL), 2020
- Politeness Transfer: A Tag and
Generate Approach [pdf] Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos,
Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W Black
and Shrimai Prabhumoye.
Association for Computational Linguistics (ACL),
2020
2019
- Re-examination of the Role of
Latent Variables in Sequence Modeling [pdf] Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo NeurLPS 2019: 7812-7822
- XLNet: Generalized Autoregressive
Pretraining for Language Understanding [pdf] Zhilin
Yang, Zihang Dai, Yiming Yang,
Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov. NeurLPS 2019:
5754-5764
- Transformer-XL: Attentive Language
Models Beyond a Fixed-Length Context. [pdf] Zihang
Dai, Zhilin Yang, Yiming Yang,
Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov. ACL 2019
- Implicit Kernel Learning [pdf]
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos. AISTATS 2019
- Kernel Change-point Detection with
Auxiliary Deep Generative Models
[pdf]
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos. ICLR 2019
- DARTS: Differentiable Architecture
Search [pdf] Hanxiao Liu, Karen Simonyan,
Yiming
Yang. ICLR 2019
- Switch-based Active Deep Dyna-Q:
Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning [pdf] Yuexin Wu, Jingjing
Liu, Jiangfeng Gao, Yiming Yang. AAAI 2019
2018
- Low-resource Cross-lingual Event
Type Detection via Distant Supervision with Minimal Effort. [pdf] Aldrian Obaja Muis, Naoki Otani,
Nidhi Vyas, Ruochen Xu, Yiming Yang, Teruko Mitamura, Eduard
H. Hovy COLING 2018:
70-82
- Unsupervised Cross-lingual Transfer
of Word Embedding Spaces [pdf] Ruochen Xu Yiming Yang,
Naoki Otani, Yuexin Wu. EMNLP 2018: 2465-2474
- Modeling Long-and Short-Term
Temporal Patterns with Deep Neural Networks
[pdf] Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu. SIGIR 2018: 95-104
- Deep Learning for Epidemiological
Predictions [pdf]
Yuexin Wu, Yiming Yang, Hanxiao Liu. SIGIR 2018: 1085-1088
- Graph Convolutional Matrix
Completion for Bipartite Edge Prediction
[pdf] Yuexin Wu, Hanxiao Liu, Yiming Yang. KDIR 2018:49-58
- Learning Graph Convolution Filters
from Data Manifold [pdf] Guokun Lai, Hanxiao Liu, Yiming Yang. ICML 2018 Workshop on Theoretical
Foundations and Applications of Deep Generative Models
- Stochastic WaveNet: A Generative Latent Variable Model for Sequential
Data [pdf] Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang. ICML 2018 Workshop on on Theoretical Foundations and Applications of Deep
Generative Models
- Convolutional Normalizing Flows [pdf] Guoqing Zheng, Yiming Yang, Jaime Carbonell. ICML 2018
Workshop on on Theoretical Foundations and
Applications of Deep Generative Models
- Asymmetric Variational Autoencoders [pdf] Guoqing Zheng, Yiming Yang, Jaime Carbonell. ICML
2018 Workshop on Theoretical Foundations and Applications of Deep
Generative Models
- The ARIEL-CMU situation frame
detection pipeline for LoReHLT16: a model translation approach [URL]
Patrick Littell, Tian Tian,
Ruochen Xu, Zaid Sheikh, David R. Mortensen,
Lori S. Levin, Francis Tyers, Hiroaki Hayashi, Graham Horwood, Steve Sloto, Emily Tagtow, Alan W.
Black, Yiming
Yang, Teruko Mitamura,
Eduard H. Hovy
Machine Translation 32(1-2): 105-126 (2018)
2017
- MMD GAN: Towards Deeper
Understanding of Moment Matching Network
[pdf] Chun-Liang
Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang. NIPS 2017
- RACE: Large-scale ReAding Comprehension Dataset From
Examinations [pdf] Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy. EMNLP 2017
- Cross-lingual Distillation for Text
Classification [pdf] Ruochen Xu, Yiming Yang. ACL 2017: 1415-1425
- Analogical Inference for
Multi-relational Embeddings [web]
Hanxiao Liu, Yuexin
Wu, Yiming
Yang. ICML 2017: 2168-2178
- Data-driven Random Fourier Features
using Stein Effect [web] Wei-Cheng
Chang, Chun-Liang Li, Yiming Yang,
Barnabás Póczos. IJCAI 2017: 1497-1503
- Deep Learning for Extreme
Multi-label Text Classification
[web]
Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang. SIGIR 2017: 115-124
- Experiments in Curation: Towards
Machine-Assisted Construction of Software Architecture Knowledge Bases [web] Ian Gorton, Ruochen Xu,
Yiming
Yang, Hanxiao
Liu, Guoqing Zheng. ICSA
2017: 79-88
- Cross-Domain Kernel Induction for
Transfer Learning [web] Wei-Cheng Chang, Yuexin
Wu, Hanxiao Liu, Yiming Yang. AAAI 2017: 1763-1769
2016
- Leveraging Multilingual Training
for Limited Resource Event Extraction
[pdf] Andrew
Hsi, Yiming Yang,
Jaime Carbonell and Ruochen Xu. International Conference on Computational Linguistics
(COLING 2016): 1201-1210
- Adaptive Smoothed Online Multi-Task
Learning [pdf] Hanxiao Liu*, Keerthiram Murugesan*, Jaime G. Carbonell, Yiming Yang. Neural Information Processing
Systems, NIPS 2016, Barcelona, Spain.
- Cross-lingual Text Classification
via Model Translation with Limited Dictionaries [pdf]
Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew His.
ACM Information and Knowledge Management (CIKM)
2016: 95-104.
- Data-driven Automated Induction of
Prerequisite Structure Graphs [pdf]
Devendra Singh Chaplot, Yiming Yang, Jaime Carbonell and
Kenneth R. Koedinger. The 9th Intl. Conf. on
Educational Data Mining (EDM 2016), Raleigh, North Carolina, USA.
- Efficient Shift-Invariant
Dictionary Learning [web]
Guoqing Zheng, Yiming Yang, Jaime Carbonell. The 22nd
ACM SIGKDD Conference (KDD 2016), San Francisco, CA.
- Cross-Graph Learning of
Multi-Relational Associations [pdf] Hanxiao Liu and Yiming Yang. International Conference on Machine
Learning (ICML) 2016, New York City, USA.
- Semi-supervised Learning with
Adaptive Spectral Transform [web]
Hanxiao Liu and Yiming Yang. Artificial Intelligence and
Statistics (AISTATS) 2016, Cádiz, Spain.
- Learning Concept Graphs from Online
Educational Data [pdf] Hanxiao Liu, Wanli Ma, Yiming Yang
and Jaime Carbonell. J. J. Artif.
Intell. Res. (JAIR) 55: 1059-1090 (2016).
2015
- Bipartite Edge Prediction via Transductive Learning over Product Graphs [pdf][supplementary]
Hanxiao Liu and Yiming Yang. ICML 2015
- Concept Graph Learning from
Educational Data [web]
Yiming
Yang, Hanxiao
Liu, Jaime Carbonell and Wanli Ma. The Eighth International Conference on Web Search and
Data Mining (WSDM), 2015
2014
- Transformation-based Probabilistic
Clustering with Supervision [pdf]
[supplementary]. Siddharth Gopal, Yiming Yang. UAI 2014
- Von Mises-Fisher clustering models [pdf][supplementary]
Siddharth Gopal, Yiming Yang. ICML 2014
2013
- Recursive regularization for
large-scale classification with hierarchical and graphical dependencies [pdf]. Siddharth
Gopal, Siddharth Gopal, Yiming Yang. SIGKDD
2013 [Best student paper runner up]
- Distributed training of large-scale
logistic models [pdf]
Siddharth Gopal, Yiming Yang. ICML 2013
2012
- Bayesian models for large-scale
hierarchical classification [pdf][supplementary] Siddharth Gopal, Yiming Yang,
Bing Bai, Alexandru Niculescu-Mizil. NIPS 2012
- A unified optimization framework
for auction and guaranteed delivery in online advertising [pdf] Konstantin Salomatin,
Tie-Yan Liu, Yiming Yang. CIKM 2012
- A Regularization Framework for
Large-scale Hierarchical Classification [pdf] Siddharth Gopal, Yiming Yan, Alexandru Niculescu-Mizil. Large-scale Hierarchical Text Classification Challenge
- ECML 2012
- Multilabel Classification with
meta-level features in a learning-to-rank framework [pdf] Yiming Yang and Siddharth Gopal. Machine Learning, DOI: 10.1007/s10994-011-5270-7.
2011
- Modeling personalized email
prioritization: classification-based and regression-based approaches [pdf] Shinjae Yoo, Yiming Yang, Jaime G. Carbonell
CIKM 2011: 729-738
- Statistical learning for file-type
identification [pdf] Siddharth Gopal, Yiming Yang, Konstantin Salomatin and Jaime Carbonell. International Conference of Machine Learning
Applications (ICMLA), 2011.
2010
- Learning to rank relevant and novel
documents through user feedback [pdf] Abhimanyu Lad and Yiming Yang. CIKM 2010
- CiteData: A new multi-faceted dataset for
evaluating personalized search performance [pdf] Abhay Harpale, Yiming
Yang, Siddharth Gopal, Daqing He and Zhen Yue. CIKM 2010
- Active Learning for Multi-Task
Adaptive Filtering [pdf] Abhay Harpale and Yiming
Yang. ICML 2010
- Personalized email prioritization
based on content and social network analysis. Yiming Yang,
Shinjae Yoo, Frank Lin
and II-Chul Moon. IEEE
Intelligent Systems: Special Issue on Social Learning,Vol. 25(4),
pp12-18, July/August 2010.
- Active Ordering of Interactive
Prediction Tasks [pdf] Abhimanyu Lad, Yiming Yang. SDM 2010: 537-547
- Multi-label classification with
meta-level features [pdf] Siddharth Gopal, Yiming Yang. SIGIR 2010: 315-322
2009
- Protein Identification from Tandem
Mass Spectra with Probabilistic Language Modeling [pdf] Yiming Yang, Abhay Harpale
and Subramaniam Ganapathyand. The European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
2009
- Modeling Expected Utility of
Multi-session Information Distillation
[pdf] Yiming Yang and Abhimanyu Lad. Second
International Conference on the Theory of Information Retrieval (ICTIR09),
2009
- Mining Social Networks for
Personalized Email Prioritization
[pdf] Shinjae Yoo, Yiming Yang, Frank Lin and Il-Chul Moon. The 15th ACM
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD09), 2009
- Toward Optimal Ordering of
Prediction Tasks [pdf] Abhimanyu Lad, Yiming Yang, Rayid Ghani and Bryan Kisiel.
SIAM International Conference on Data Mining
(SDM09), pp 883-893, 2009
- Toward Optimal Ordering of
Prediction Tasks [pdf] Konstantin Salomatin, Yiming
Yang and Abhimanyu Lad. Multi-field
Correlated Topic Modeling (pdf). SIAM International Conference on Data
Mining (SDM09), pp 628-637, 2009
2008
- Personalized Active Learning for
Collaborative Filtering [pdf] Abhay Harpale and Yiming
Yang. ACM SIGIR’08: 91-98
- Scholarpedia: Text Categorization [web] Yiming Yang and Thorsten Joachims (2008) Text categorization. 3(5):4242
- Flexible Latent Variable Models for
Multi-Task Learning Flexible Latent Variable Models for Multi-Task
Learning [pdf] Jian Zhang, Zoubin Ghahramani and Yiming Yang. Machine
Learning, 2008
2007
- Generalizing from Relevance
Feedback using Named Entity Wildcards
[pdf] Abhimanyu Lad, Yiming Yang. CIKM 2007
- Utility-based information
distillation over temporally sequenced documents [pdf] Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel,
Monica Rogati, Jian Zhang, Jaime Carbonell,
Peter Brusilovsky, Daqing He. SIGIR 2007: 31-38
2005
- Robustness of Adaptive Filtering
Methods in a Cross-benchmark Evaluation
[pdf] Yiming Yang, Shinjae
Yoo, Jian Zhang and Bryan Kisiel.
ACM SIGIR 2005.
- Learning Multiple Related Tasks
using Latent Independent Component Analysis
[pdf] Jian Zhang, Zoubin Ghahramani and Yiming Yang. NIPS 2005
- From lasso regression to feature
vector machine [pdf] Fan Li, Yiming Yang, Eric P. Xing. NIPS 2005
- Use modified lasso regressions to
learn large undirected graphs in a probabilistic framework [pdf] Fan Li, Yiming Yang. AAAI 2005.
- Support Vector Machines
Classification with Very Large-Scale Taxonomy
[pdf]. Tie-Yan Liu, Yiming Yang, Hao Wan, et al.
SIGKDD Explorations, Special Issue on Text Mining
and Natural Language Processing, vol.7, issue.1, pp36~43, 2005
- Analysis of recursive gene
selection approaches from micro-array data (MEDLINE indexed) [web] Fan Li, Yiming Yang. Journal Bioinformatics, 2005
- Using recursive classification to
discover predictive features [pdf]. Fan Li, Yiming Yang. ACM SAC 2005
2004
- A Probabilistic Model for Online
Document Clustering with Application to Novelty Detection [pdf] Jian Zhang, Zoubin Ghahramani and Yiming Yang. NIPS 2004, Vancouver, Canada, 2004
- Resource Selection for Domain
Specific CLIR [pdf] Monica Rogati and Yiming
Yang. ACM SIGIR 2004
- Probabilistic Score Estimation with
Piecewise Logistic Regression [pdf] Jian Zhang and Yiming Yang. ICML 2004
- The Enron Corpus: A New Dataset for
Email Classification Research [pdf] B. Klimt and Yiming Yang. ECML 2004
- Learning Table Extraction from
Examples [pdf] Tengli, Yiming Yang
and N. Ma. COLING 2004
- Applying CLIR Techniques to Event
Tracking [pdf] Niangli Ma, Yiming Yang
& Monica Rogati. Lecture Notes
in Computer Science. Revised Selected Papers, Information Retrieval
Technology: Asia Information Retrieval Symposium (AIRS), 2004
- RCV1: A New Benchmark Collection
for Text Categorization Research
[pdf]. David Lewis, Yiming Yang, Tony Rose and Fan Li. Journal of
Machine Learning Research 5 (2004) 361-397
2003
- Margin-based Local Regression of
Adaptive Filtering [pdf] Yiming Yang and Bryan Kisiel.
ACM CIKM 2003
- A scalability analysis of
classifiers in text categorization
[pdf] Yiming Yang, Jian Zhang and Byan Kisiel. ACM SIGIR'03, pp 96-103, 2003
- A loss function analysis for
classification methods in text categorization
[pdf] Fan Li and Yiming Yang, ICML 2003, pp472-479, 2003
- Robustness of regularized linear
classification methods in text categorization
[pdf] Jian Zhang and Yiming Yang. ACM SIGIR'03, pp 190-197, 2003
- Modified logistic regression: an
approximation to SVM and its application in large-scale text categorization [pdf] Jian Zhang, Rong Jing, Yiming Yang and A.
Hauptmann. ICML'03, pp888-897, 2003
- Unsupervised learning of Arabic
stemming using a parallel corpus
[pdf] Monica Rogati, Scott
McCarley and Yiming Yang. ACL'03
pp391-398, 2003
2002
- Topic-conditioned Novelty Detection [pdf] Yiming Yang, Jian Zhang, Jaime
Carbonell and Chun Jin.
ACM SIGKDD Internaltional
Conference on Knowledge
Discovery and Data Mining, pp 688-693, 2002
- Stochastic Link and Group Detection [pdf] Jeremy Kubica, Andrew Moore, Jeff Schneider and Yiming
Yang. AAAI-02, 2002
- A study of approaches to hypertext
categorization [pdf] Yiming Yang, S. Slattery and R. Ghani. Journal of Intelligent Information Systems, Volume 18,
Number 2, March 2002
- High-performing feature selection
for text classification [pdf] M. Rogati and Yiming
Yang. ACM CIKM 2002
2001
- kNN, Rocchio
and Metrics for Information Filtering at TREC-10 [pdf] Thomat Ault and Yiming
Yang. TREC-10 Notes, Nov. 2001
- Hypertext categorization using
hyperlink patterns and meta data
[pdf] Rayid Ghani, Sean
Slattery and Yiming Yang. ICML'01, pp
178-185, 2001
- A study on thresholding strategies
for text categorization [pdf] Yiming Yang. SIGIR'01,
pp 137-145, 2001
- Cross-Lingual Pseudo-Relevance
Feedback Using a Comparable Corpus
[pdf] Monica Rogati and Yiming
Yang. CLEF'01, 2001
2000
- Improving text categorization
methods for event tracking [pdf] Yiming Yang, Thomas Ault, Thomas Pierce
and Charles W Lattimer. SIGIR'00, pp65-72. 2000
- Combining multiple learning
strategies for effective cross validation
[pdf] Yiming Yang, Thomas Ault, Thomas Pierce. ICML'00, pp1167-1182, 2000
1999
- Learning Approaches for Detecting
and Tracking News Events [pdf] Yiming Yang, Jaime Carbonell, Ralf Brown,
Thomas Pierce, Brian T. Archibald, Xin
Liu. IEEE Intelligent Systems: Special Issue on Applications
of Intelligent Information Retrieval,Vol. 14(4), pp32-43, July/August 1999
- A re-examination of text
categorization methods [pdf] Yiming Yang and Xin Liu. SIGIR'99, pp 42--49, 1999
- An evaluation of statistical
approaches to text categorization
[pdf] Yiming Yang. Journal
of Information Retrieval, Vol 1, No. 1/2, pp 67--88, 1999
1998
- CONALD Report on the Workshop on
Learning from Text and the Web
[pdf] Carbonell J., Craven M., Fienberg S., Mitchell T.
and Yang Y. June, 1998
- Topic Detection and Tracking Pilot
Study Final Report [pdf] James Allan, Jaime Carbonell, Doddington, G., Yamron, J. and Yiming Yang.
Proceedings of the Broadcast News Transcription
and Understranding Workshop (Sponsored by
DARPA), Feb. 1998
- Translingual Information Retrieval:
Learning from Bilingual Corpora
[pdf] Yiming Yang., Carbonell, J. G.,
Brown, R. and Frederking, R. E.
Artificial Intelligence Journal special issue:
Best of IJCAI-97, 1998, pp323--345
- A Study on Retrospective and
On-line Event Detection [pdf] Yiming Yang, Pierce, T., Carbonell, J. G. SIGIR'98
1997
- Translingual Information Retrieval:
a comparative evaluation [pdf] Carbonell, J. G., Yiming Yang.,. Frederking, R. E., Brown, R., Geng,
Y., and Lee, D.
Proceedings of the International Joint Conference
on Artificial Intelligence (IJCAI'97 Distinguished Paper Award), 1997
- A Comparative Study on Feature
Selection in Text Categorization
[pdf] Yiming Yang, Pedersen J.P. Proceedings of the Fourteenth International Conference
on Machine Learning (ICML'97), 1997, pp412-420
- An Evaluation of statistical
approach to text categorization
[pdf] Yiming Yang. Technical
Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon
University, 1997
1996
- Sampling strategies and learning
efficiency in text categorization
[pdf] Yiming Yang. AAAI
Spring Symposium on Machine Learning in Information Access. 1996:88-95
- Using corpus statistics to remove
redundant words in text categorization
[pdf] Yiming Yang, John W. Wilbur. J Amer Soc Inf Sci. (JASIS) 1996
- An evaluation of a statistical
approaches to MEDLINE indexing. Yiming
Yang. J Proceedings of the 1996 Annual
Full Symposium of the American Medical Informatics Association (AMIA),
1996:358-362
1995
- Noise Reduction in a Statistical
Approach to Text Categorization
[pdf] Yiming Yang. SIGIR'95, 1995:256-263, 1995.
1994
- An example-based mapping method for
text classification and retrieval
[pdf] Yiming Yang, Chris G. Chute. ACM Transactions on Information Systems (TOIS)
1994;12(3):252-77
- Expert Network: Effective and
efficient learning from human decisions in text categorization and
retrieval [pdf] Yiming Yang. SIGIR'94, pp11-21, 1994.
- An application of Expert Network to
clinical classification and MEDLINE indexing. Yiming Yang,
Chris G. Chute. Proceedings of the 18th Annual
Symposium on Computer Applications in Medical Care (SCAMC'94). JAMIA
1994;18(Symp.Suppl):157-61 (Best Theoretical
Paper Award)
1993
- Words or concepts: The features of
indexing units and their optimal use in information retrieval. Yiming Yang,
Chris G. Chute. Proceedings of 17th Annual
Symposium on Computer Applications in Medical Care (SCAMC'93),
1993;17:685-9 (Best Theoretical Paper Award)
- An application of Least Squares Fit
mapping to text information retrieval
[pdf] Yiming Yang, Chris G. Chute. Proceedings of 16th Ann Int ACM SIGIR Conference on
Research and Development in Information Retrieval (SIGIR'93) 1993;281-90.
1992
- A Linear Least Squares Fit method
for terminology mapping [pdf] Yiming Yang, Chris G. Chute. Proceedings of Fifteenth International Conference on
Computational Linguistics (COLING'92), 1992;II:447-53