Publications (selected)
2024
·
Learning a
Fourier Transform for Linear Relative Positional Encodings in Transformers.
Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar
Avinava Dubey, Shengjie
Luo, Di He, Yiming
Yang, Tamás Sarlós, Thomas
Weingarten, Adrian Weller. AISTATS 2024: 2278-2286
·
Learning
Performance-Improving Code Edits. Alexander Shypula, Aman
Madaan, Yimeng Zeng, Uri Alon, Jacob
R. Gardner, Yiming
Yang, Milad Hashemi, Graham
Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh. ICLR 2024
·
SALMON:
Self-Alignment with Instructable Reward Models. Zhiqing
Sun, Yikang Shen, Hongxin
Zhang, Qinhong Zhou, Zhenfang
Chen, David Daniel Cox, Yiming Yang, Chuang Gan. ICLR 2024
·
HaluEval-Wild: Evaluating
Hallucinations of Language Models in the Wild. Zhiying
Zhu, Zhiqing Sun, Yiming
Yang. CoRR abs/2403.04307 (2024)
·
Direct Preference Optimization of Video Large Multimodal
Models from Language Model Reward. Ruohong Zhang, Liangke
Gui, Zhiqing Sun, Yihao Feng, Keyang
Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan
Bisk, Yiming
Yang. CoRR abs/2404.01258 (2024)
·
Self-Play Preference Optimization for Language Model
Alignment. Yue Wu, Zhiqing Sun, Huizhuo
Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu: CoRR abs/2405.00675 (2024)
·
Few-shot Personalization of LLMs with Mis-aligned
Responses. Jaehyung Kim, Yiming Yang. CoRR abs/2406.18678 (2024)
·
Learning to Correct for QA Reasoning with Black-box
LLMs. Jaehyung Kim, Dongyoung
Kim, Yiming
Yang. CoRR abs/2406.18695 (2024)
·
Lean-STaR: Learning to Interleave
Thinking and Proving. Haohan Lin, Zhiqing
Sun, Yiming
Yang, Sean Welleck: CoRR abs/2407.10040 (2024)
2023
§ PESCO: Prompt-enhanced Self Contrastive
Learning for Zero-shot Text Classification. Yau-Shian Wang, Ta-Chung
Chi, Ruohong
Zhang, Yiming Yang. ACL 2023: 14897-14911
§ PAL: Program-aided Language Models. Luyu Gao, Aman Madaan, Shuyan
Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig.
ICML 2023: 10764-10799
§ A Neural PDE Solver with Temporal
Stencil Modeling. Zhiqing Sun, Yiming Yang, Shinjae Yoo. ICML 2023: 33135-33155
§ Retrieval-Enhanced Generative
Model for Large-Scale Knowledge Graph Completion. Donghan Yu, Yiming Yang. SIGIR 2023: 2334-2338
§ Learning Performance-Improving Code
Edits. Aman Madaan, Alexander Shypula, Uri Alon, Milad
Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh. Deep Learning
for Code Workshop at ICLR 2023.
§
Learning a Fourier
Transform for Linear Relative Positional Encodings in Transformers. Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar
Avinava Dubey, Shengjie
Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas
Weingarten, Adrian Weller. (Under
Review)
§
DIFUSCO:
Graph-based Diffusion Solvers for Combinatorial Optimization. Zhiqing Sun, Yiming Yang. NeurIPS 2023 (spotlight)
§
Principle-Driven
Self-Alignment of Language Models from Scratch with Minimal Human
Supervision. Zhiqing
Sun, Yikang Shen, Qinhong Zhou, Hongxin
Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan. NeurIPS 2023
(spotlight)
§ Self-Refine: Iterative Refinement with
Self-Feedback. Aman
Madaan, Niket Tandon, Prakhar Gupta, Skyler
Hallinan, Luyu Gao, Sarah Wiegreffe, Uri
Alon, Nouha Dziri, Shrimai
Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa
Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter
Clark. NeurIPS 2023
§ Generation-driven Contrastive
Self-training for Zero-shot Text Classification with Instruction-tuned
GPT. Ruohong Zhang, Yau-Shian Wang, Yiming Yang. CoRR abs/2304.11872 (2023)
§ Let's Sample Step by Step:
Adaptive-Consistency for Efficient Reasoning with LLMs. Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam. EMNLP 2023.
§ Active Retrieval Augmented
Generation. Zhengbao Jiang, Frank
F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig. EMNLP
2023.
§ CompleQA: Benchmarking the Impacts of Knowledge Graph
Completion Methods on Question Answering. Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang. Findings of EMNLP 2023
§ Accelerating Diffusion-based
Combinatorial Optimization Solvers by Progressive Distillation. Junwei Huang, Zhiqing
Sun, Yiming Yang. ICML’2023
workshop.
§ 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