Yi Chang

Orcid: 0000-0003-2697-8093

Affiliations:
  • Jilin University, School of Artificial Intelligence, China
  • Huawei Research America (former)
  • Yahoo Research (former)


According to our database1, Yi Chang authored at least 213 papers between 2003 and 2024.

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Bibliography

2024
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.
ACM Trans. Knowl. Discov. Data, April, 2024

Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement.
IEEE Trans. Knowl. Data Eng., March, 2024

Generalized multi-agent competitive reinforcement learning with differential augmentation.
Expert Syst. Appl., March, 2024

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Robust multi-agent reinforcement learning via Bayesian distributional value estimation.
Pattern Recognit., January, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
CoRR, 2024

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.
CoRR, 2024

Copyright Protection in Generative AI: A Technical Perspective.
CoRR, 2024

2023
Taming over-smoothing representation on heterophilic graphs.
Inf. Sci., November, 2023

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery.
IEEE Trans. Cybern., May, 2023

GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis.
Inf. Sci., April, 2023

Careful at Estimation and Bold at Exploration.
CoRR, 2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.
CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR, 2023

Policy Dispersion in Non-Markovian Environment.
CoRR, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Web-based Long-term Spine Treatment Outcome Forecasting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UADB: Unsupervised Anomaly Detection Booster.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization.
ACM Trans. Inf. Syst., 2022

A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification.
IEEE Trans. Cybern., 2022

A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement.
IEEE Internet Things J., 2022

Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning.
CoRR, 2022

SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Orthogonal Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Predicting Skipjack Tuna Fishing Grounds in the Western and Central Pacific Ocean Based on High-Spatial-Temporal-Resolution Satellite Data.
Remote. Sens., 2021

Bringing order to episodes: Mining timeline in social media.
Neurocomputing, 2021

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.
CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR, 2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.
CoRR, 2021

Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Unbiased Learning to Rank in Feeds Recommendation.
Proceedings of the WSDM '21, 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions.
Proceedings of the International Joint Conference on Neural Networks, 2021

Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
node2hash: Graph aware deep semantic text hashing.
Inf. Process. Manag., 2020

Semantic Triple Encoder for Fast Open-Set Link Prediction.
CoRR, 2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
CoRR, 2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Attention-based Multi-level Feature Fusion for Named Entity Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Context and Type Enhanced Representation Learning for Relation Extraction.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Signed Network Embedding via Graph Attention.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations.
CoRR, 2019

Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model.
CoRR, 2019

Adversarial Sampling and Training for Semi-Supervised Information Retrieval.
Proceedings of the World Wide Web Conference, 2019

Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning.
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

Learning Network Embedding with Community Structural Information.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Vectors of Pairwise Item Preferences.
Proceedings of the Advances in Information Retrieval, 2019

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Balance in Signed Bipartite Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-Classification of Cancer Samples Based on Co-Expression Analyses.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Optimizing Whole-Page Presentation for Web Search.
ACM Trans. Web, 2018

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng., 2018

Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation.
IEEE Geosci. Remote. Sens. Lett., 2018

Gradient-Coherent Strong Regularization for Deep Neural Networks.
CoRR, 2018

Sequenced-Replacement Sampling for Deep Learning.
CoRR, 2018

Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning.
CoRR, 2018

Contextual and Position-Aware Factorization Machines for Sentiment Classification.
CoRR, 2018

Leveraging Fine-Grained Wikipedia Categories for Entity Search.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Understanding and Predicting Delay in Reciprocal Relations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Abstract Meaning Representation for Paraphrase Detection.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Zero-shot User Intent Detection via Capsule Neural Networks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty.
Proceedings of the 13th Annual International Conference of the Alliance of Digital Humanities Organizations, 2018

JIM: Joint Influence Modeling for Collective Search Behavior.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Exploiting User Actions for App Recommendations.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Document Modeling with External Attention for Sentence Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Target-Sensitive Memory Networks for Aspect Sentiment Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue.
ACM Trans. Inf. Syst., 2017

Learning Online Trends for Interactive Query Auto-Completion.
IEEE Trans. Knowl. Data Eng., 2017

Large-Scale Location Prediction for Web Pages.
IEEE Trans. Knowl. Data Eng., 2017

Constructing click models for search users.
Inf. Retr. J., 2017

Understanding and Discovering Deliberate Self-harm Content in Social Media.
Proceedings of the 26th International Conference on World Wide Web, 2017

Modeling the Influence of Popular Trending Events on User Search Behavior.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion.
Proceedings of the 26th International Conference on World Wide Web, 2017

Streaming Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web, 2017

Link Prediction with Cardinality Constraint.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Preference-driven similarity join.
Proceedings of the International Conference on Web Intelligence, 2017

Signed Network Embedding in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Convex Factorization Machine for Toxicogenomics Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Schemaless Join for Result Set Preferences.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Feasibility study of RFID-Mounted drone application in management of oyster farms.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Modeling the habitat suitability index of skipjack tuna (katsuwonus pelamis) in the western and central pacific ocean.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Connecting emerging relationships from news via tensor factorization.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Scaling Submodular Maximization via Pruned Submodularity Graphs.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets.
Proceedings of the Information Retrieval Technology, 2017

Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Lifecycle Modeling for Buzz Temporal Pattern Discovery.
ACM Trans. Knowl. Discov. Data, 2016

A Survey of Signed Network Mining in Social Media.
ACM Comput. Surv., 2016

Hierarchical Attention Network for Action Recognition in Videos.
CoRR, 2016

Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Abusive Language Detection in Online User Content.
Proceedings of the 25th International Conference on World Wide Web, 2016

Behavior Driven Topic Transition for Search Task Identification.
Proceedings of the 25th International Conference on World Wide Web, 2016

Beyond Ranking: Optimizing Whole-Page Presentation.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Query Understanding for Search on All Devices at WSDM 2016.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Leveraging User Interaction Signals for Web Image Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning Query and Document Relevance from a Web-scale Click Graph.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Ranking Relevance in Yahoo Search.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Positive-Unlabeled Learning in Streaming Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning Hostname Preference to Enhance Search Relevance.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Timeline Summarization from Social Media with Life Cycle Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning to Rewrite Queries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

HEER: Heterogeneous graph embedding for emerging relation detection from news.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Active Learning for Ranking through Expected Loss Optimization.
IEEE Trans. Knowl. Data Eng., 2015

Cross-Domain Matching with Squared-Loss Mutual Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Predicting primary categories of business listings for local search ranking.
Neurocomputing, 2015

Learning to rank related entities in Web search.
Neurocomputing, 2015

Convex Factorization Machine for Regression.
CoRR, 2015

Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

The 2nd workshop on Vertical Search Relevance at WSDM 2015.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Predicting Search Intent Based on Pre-Search Context.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

From Web Search Relevance to Vertical Search Relevance.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Propagation-based Sentiment Analysis for Microblogging Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Learning Entity Types from Query Logs via Graph-Based Modeling.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Consistent Collective Matrix Completion under Joint Low Rank Structure.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Causal Inference via Sparse Additive Models with Application to Online Advertising.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning the Gain Values and Discount Factors of Discounted Cumulative Gains.
IEEE Trans. Knowl. Data Eng., 2014

Exploiting User Preference for Online Learning in Web Content Optimization Systems.
ACM Trans. Intell. Syst. Technol., 2014

What is Tumblr: a statistical overview and comparison.
SIGKDD Explor., 2014

Domain Adaptation for Structured Regression.
Int. J. Comput. Vis., 2014

N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data.
CoRR, 2014

A hierarchical Dirichlet model for taxonomy expansion for search engines.
Proceedings of the 23rd International World Wide Web Conference, 2014

User modeling in search logs via a nonparametric bayesian approach.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

A two-dimensional click model for query auto-completion.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Identifying and labeling search tasks via query-based hawkes processes.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Scalable Heterogeneous Transfer Ranking.
Proceedings of the 3rd International Workshop on Big Data, 2014

Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Predictability of Distrust with Interaction Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Probabilistic Models for Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
User Action Interpretation for Online Content Optimization.
IEEE Trans. Knowl. Data Eng., 2013

Improving recency ranking using twitter data.
ACM Trans. Intell. Syst. Technol., 2013

Mining social media with social theories: a survey.
SIGKDD Explor., 2013

Content-aware click modeling.
Proceedings of the 22nd International World Wide Web Conference, 2013

Framework for evaluation of text captchas.
Proceedings of the 22nd International World Wide Web Conference, 2013

An effective general framework for localized content optimization.
Proceedings of the 22nd International World Wide Web Conference, 2013

Temporal web dynamics and its application to information retrieval.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Towards Twitter context summarization with user influence models.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A unified search federation system based on online user feedback.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Toward Automated Definition Acquisition From Operations Law.
IEEE Trans. Syst. Man Cybern. Part C, 2012

An Online Learning Framework for Refining Recency Search Results with User Click Feedback.
ACM Trans. Inf. Syst., 2012

Multi-task learning to rank for web search.
Pattern Recognit. Lett., 2012

Learning to blend vitality rankings from heterogeneous social networks.
Neurocomputing, 2012

Joint relevance and freshness learning from clickthroughs for news search.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Model news relatedness through user comments.
Proceedings of the 21st World Wide Web Conference, 2012

Pairwise cross-domain factor model for heterogeneous transfer ranking.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Learning to rank with multi-aspect relevance for vertical search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Friend or frenemy?: predicting signed ties in social networks.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Enhancing product search by best-selling prediction in e-commerce.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Predicting primary categories of business listings for local search.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Iterative Viterbi A* Algorithm for K-Best Sequential Decoding.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Future directions in learning to rank.
Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Yahoo! Learning to Rank Challenge Overview.
Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Modeling Perceived Relevance for Tail Queries without Click-Through Data
CoRR, 2011

Refining Recency Search Results with User Click Feedback
CoRR, 2011

Learning to model relatedness for news recommendation.
Proceedings of the 20th International Conference on World Wide Web, 2011

Ranking related entities for web search queries.
Proceedings of the 20th International Conference on World Wide Web, 2011

Scalable clustering of news search results.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Learning to re-rank web search results with multiple pairwise features.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Enhancing mobile search using web search log data.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

User action interpretation for personalized content optimization in recommender systems.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

A taxonomy of local search: semi-supervised query classification driven by information needs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Detecting Multilingual and Multi-Regional Query Intent in Web Search.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Time is of the essence: improving recency ranking using Twitter data.
Proceedings of the 19th International Conference on World Wide Web, 2010

IntervalRank: isotonic regression with listwise and pairwise constraints.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Towards recency ranking in web search.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Active learning for ranking through expected loss optimization.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Learning Recurrent Event Queries for Web Search.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking.
Proceedings of the COLING 2010, 2010

Online learning for recency search ranking using real-time user feedback.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Ranking with auxiliary data.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Temporal query log profiling to improve web search ranking.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Session Based Click Features for Recency Ranking.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
An image-based automatic Arabic translation system.
Pattern Recognit., 2009

Enhancing topical ranking with preferences from click-through data.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Empirical Exploitation of Click Data for Task Specific Ranking.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Incorporating robustness into web ranking evaluation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Multi-task learning for learning to rank in web search.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Protecting Personal Identification in Video.
Proceedings of the Protecting Privacy in Video Surveillance, 2009

2008
Investigation of partial query proximity in web search.
Proceedings of the 17th International Conference on World Wide Web, 2008

2007
Tools for Protecting the Privacy of Specific Individuals in Video.
EURASIP J. Adv. Signal Process., 2007

2006
People Identification with Limited Labels in Privacy-Protected Video.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

2004
A Re-examination of IR Techniques in QA System.
Proceedings of the Natural Language Processing, 2004

2003
TREC 2003 Question Answering Track at CAS-ICT.
Proceedings of The Twelfth Text REtrieval Conference, 2003


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