Hongning Wang

Orcid: 0000-0002-6524-9195

According to our database1, Hongning Wang authored at least 180 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Automated Generation of Transformations to Mitigate Sensor Hardware Migration in ADS.
IEEE Robotics Autom. Lett., July, 2024

CodePlan: Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning.
CoRR, 2024

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models.
CoRR, 2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition.
CoRR, 2024

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks.
CoRR, 2024

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack.
CoRR, 2024

Improve Temporal Awareness of LLMs for Sequential Recommendation.
CoRR, 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.
CoRR, 2024

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback.
CoRR, 2024

Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation.
CoRR, 2024

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors.
CoRR, 2024

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback.
CoRR, 2024

Towards Efficient and Exact Optimization of Language Model Alignment.
CoRR, 2024

The Impact of Snippet Reliability on Misinformation in Online Health Search.
CoRR, 2024

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Retention Depolarization in Recommender System.
Proceedings of the ACM on Web Conference 2024, 2024

WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Third Workshop on Personalization and Recommendations in Search (PaRiS).
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

The Second Workshop on Large Language Models for Individuals, Groups, and Society.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Efficient Exact Optimization of Language Model Alignment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Incentivized Truthful Communication for Federated Bandits.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Language Model Decoding as Direct Metrics Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Linear Contextual Bandits with Heterogeneous Clients.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning Task Decomposition to Assist Humans in Competitive Programming.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Meta-Reinforcement Learning via Exploratory Task Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A human-centric machine learning based personalized route choice prediction in navigation systems.
J. Intell. Transp. Syst., July, 2023

AlignBench: Benchmarking Chinese Alignment of Large Language Models.
CoRR, 2023

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation.
CoRR, 2023

Uncertainty-Aware Off-Policy Learning.
CoRR, 2023

Meta-Reinforcement Learning via Exploratory Task Clustering.
CoRR, 2023

Personalization and Recommendations in Search.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Disentangled Representation for Diversified Recommendations.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Meta Policy Learning for Cold-Start Conversational Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An End-to-End Solution for Spatial Inference in Smart Buildings.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Incentivizing Exploration in Linear Contextual Bandits under Information Gap.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Uncertainty-Aware Instance Reweighting for Off-Policy Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Incentivized Communication for Federated Bandits.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Debiasing Recommendation by Learning Identifiable Latent Confounders.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How Bad is Top-K Recommendation under Competing Content Creators?
Proceedings of the International Conference on Machine Learning, 2023

Spectral Augmentation for Self-Supervised Learning on Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Out-of-the-Box Deployment to Support Research on In-Home Care of Alzheimer's Patients.
IEEE Pervasive Comput., 2022

Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime.
J. Glob. Inf. Manag., 2022

Emotion Recognition Robust to Indoor Environmental Distortions and Non-targeted Emotions Using Out-of-distribution Detection.
ACM Trans. Comput. Heal., 2022

Integrating Voice-Based Machine Learning Technology into Complex Home Environments.
CoRR, 2022

MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation.
CoRR, 2022

The Enforced Transfer: A Novel Domain Adaptation Algorithm.
CoRR, 2022

Learning Contextual Bandits Through Perturbed Rewards.
CoRR, 2022

IMO<sup>3</sup>: Interactive Multi-Objective Off-Policy Optimization.
CoRR, 2022

Comparative Explanations of Recommendations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unbiased Graph Embedding with Biased Graph Observations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph-based Extractive Explainer for Recommendations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Neural Ranking Models Online from Implicit User Feedback.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Embedding with Hierarchical Attentive Membership.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dynamic Global Sensitivity for Differentially Private Contextual Bandits.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Communication Efficient Distributed Learning for Kernelized Contextual Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communication Efficient Federated Learning for Generalized Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Structural Attack by Perturbing Spectral Distance.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

IMO^3: Interactive Multi-Objective Off-Policy Optimization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning from a Learning User for Optimal Recommendations.
Proceedings of the International Conference on Machine Learning, 2022

When Are Linear Stochastic Bandits Attackable?
Proceedings of the International Conference on Machine Learning, 2022

Learning Neural Contextual Bandits through Perturbed Rewards.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Rethinking Conversational Recommendations: Is Decision Tree All You Need?
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Learning the Optimal Recommendation from Explorative Users.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank.
CoRR, 2021

Graph Structural Attack by Spectral Distance.
CoRR, 2021

Incentivizing Exploration in Linear Bandits under Information Gap.
CoRR, 2021

Reversible Action Design for Combinatorial Optimization with Reinforcement Learning.
CoRR, 2021

PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Explanation as a Defense of Recommendation.
Proceedings of the WSDM '21, 2021

Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction.
Proceedings of the WSDM '21, 2021

Interactive Information Retrieval with Bandit Feedback.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Understanding and Mitigating Bias in Online Health Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Category-aware Collaborative Sequential Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Towards semantic search in building sensor data.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Improve Learning from Crowds via Generative Augmentation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Unifying Clustered and Non-stationary Bandits.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Learning from Crowds by Modeling Common Confusions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unbiased Learning to Rank via Propensity Ratio Scoring.
CoRR, 2020

Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

JNET: Learning User Representations via Joint Network Embedding and Topic Embedding.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

An Open Problem: Energy Data Super-Resolution.
Proceedings of the NILM '20, 2020

A monitoring, modeling, and interactive recommendation system for in-home caregivers: demo abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Global and Local Differential Privacy for Collaborative Bandits.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Learning by Exploration: New Challenges in Real-World Environments.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Directional Multivariate Ranking.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graph Attention Networks over Edge Content-Based Channels.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Selective Sampling for Sensor Type Classification in Buildings.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

Lessons and Insights from Super-Resolution of Energy Data.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
BPMR: Bayesian Probabilistic Multivariate Ranking.
CoRR, 2019

Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests.
Proceedings of the World Wide Web Conference, 2019

A Tree-Structured Neural Network Model for Household Energy Breakdown.
Proceedings of the World Wide Web Conference, 2019

Learning Personalized Topical Compositions with Item Response Theory.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Variance Reduction in Gradient Exploration for Online Learning to Rank.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Context Attentive Document Ranking and Query Suggestion.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Sequential Learning with Active Partial Labeling for Building Metadata.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Learning from Correlated Events for Equipment Relation Inference in Buildings.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Factorization Bandits for Online Influence Maximization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adversarial Domain Adaptation for Machine Reading Comprehension.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Active Collaborative Sensing for Energy Breakdown.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Accounting for Temporal Dynamics in Document Streams.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning Contextual Bandits in a Non-stationary Environment.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Efficient Exploration of Gradient Space for Online Learning to Rank.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Plaster: an integration, benchmark, and development framework for metadata normalization methods.
Proceedings of the 5th Conference on Systems for Built Environments, 2018

Bandit Learning with Implicit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Task Learning for Document Ranking and Query Suggestion.
Proceedings of the 6th International Conference on Learning Representations, 2018

Modeling Sequential Online Interactive Behaviors with Temporal Point Process.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Preclude2 : Personalized conflict detection in heterogeneous health applications.
Pervasive Mob. Comput., 2017

Clustered Model Adaption for Personalized Sentiment Analysis.
Proceedings of the 26th International Conference on World Wide Web, 2017

ReviewMiner: An Aspect-based Review Analytics System.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Accounting for the Correspondence in Commented Data.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Preclude: Conflict detection in textual health advice.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

Conflict detection in online textual health advice: demo abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Extracting User-Reported Mobile Application Defects from Online Reviews.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Modeling Student Learning Styles in MOOCs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

DAVE: Detecting Agitated Vocal Events.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Factorization Bandits for Interactive Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Matrix Factorisation for Scalable Energy Breakdown.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
DeepMeSH: deep semantic representation for improving large-scale MeSH indexing.
Bioinform., 2016

Hidden Topic Sentiment Model.
Proceedings of the 25th International Conference on World Wide Web, 2016

Contextual Bandits in a Collaborative Environment.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Topic Model based Privacy Protection in Personalized Web Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning Hidden Features for Contextual Bandits.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Modeling Social Norms Evolution for Personalized Sentiment Classification.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Opinions matter: a general approach to user profile modeling for contextual suggestion.
Inf. Retr. J., 2015

Demo: KinVocal: Detecting Agitated Vocal Events.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

The Building Adapter: Towards Quickly Applying Building Analytics at Scale.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

Clustering-based Active Learning on Sensor Type Classification in Buildings.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Model Adaptation for Personalized Opinion Analysis.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Computational user intent modeling
PhD thesis, 2014

Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks.
Stat. Anal. Data Min., 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

Adapting deep RankNet for personalized search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Modeling action-level satisfaction for search task satisfaction prediction.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

2013
Enhancing personalized search by mining and modeling task behavior.
Proceedings of the 22nd International World Wide Web Conference, 2013

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

Learning to extract cross-session search tasks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance.
Proceedings of the 22nd International World Wide Web Conference, 2013

Personalized ranking model adaptation for web search.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

On the Detectability of Node Grouping in Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

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

Unsupervised discovery of opposing opinion networks from forum discussions.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Learning online discussion structures by conditional random fields.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Latent aspect rating analysis without aspect keyword supervision.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Structural Topic Model for Latent Topical Structure Analysis.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Latent aspect rating analysis on review text data: a rating regression approach.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Exploiting Structured Ontology to Organize Scattered Online Opinions.
Proceedings of the COLING 2010, 2010

2009
Extract interaction detection methods from the biological literature.
BMC Bioinform., 2009

2008
Exploiting and integrating rich features for biological literature classification.
BMC Bioinform., 2008

A Generative Probabilistic Model for Multi-label Classification.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008


  Loading...