Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Diversification of Adaptive Policy for Effective Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Yunseon Choi

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

UniAudio: Towards Universal Audio Generation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Whittle Index with Multiple Actions and State Constraint for Inventory Management.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BatteryML: An Open-source Platform for Machine Learning on Battery Degradation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PromptTTS 2: Describing and Generating Voices with Text Prompt.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GAIA: Zero-shot Talking Avatar Generation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

End-to-End Rate-Distortion Optimized 3D Gaussian Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2024

Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Regeneration Learning: A Learning Paradigm for Data Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle.

[BibT_eX]

[DOI]

CoRR, 2023

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Foundation Models for Learning on Tabular Data.

[BibT_eX]

[DOI]

CoRR, 2023

UniAudio: An Audio Foundation Model Toward Universal Audio Generation.

[BibT_eX]

[DOI]

CoRR, 2023

PromptTTS 2: Describing and Generating Voices with Text Prompt.

[BibT_eX]

[DOI]

CoRR, 2023

Microstructure-Empowered Stock Factor Extraction and Utilization.

[BibT_eX]

[DOI]

CoRR, 2023

Pre-Trained Large Language Models for Industrial Control.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Behavior-consistent Calibration for Multi-agent Market Simulation.

[BibT_eX]

[DOI]

CoRR, 2023

EmoGen: Eliminating Subjective Bias in Emotional Music Generation.

[BibT_eX]

[DOI]

CoRR, 2023

A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management.

[BibT_eX]

[DOI]

CoRR, 2023

MuseCoco: Generating Symbolic Music from Text.

[BibT_eX]

[DOI]

CoRR, 2023

Deliberate then Generate: Enhanced Prompting Framework for Text Generation.

[BibT_eX]

[DOI]

CoRR, 2023

GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework.

[BibT_eX]

[DOI]

CoRR, 2023

ResiDual: Transformer with Dual Residual Connections.

[BibT_eX]

[DOI]

CoRR, 2023

H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem.

[BibT_eX]

[DOI]

CoRR, 2023

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.

[BibT_eX]

[DOI]

CoRR, 2023

A Study on ReLU and Softmax in Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Generalization Properties of Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributional Pareto-Optimal Multi-Objective Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Web-based Long-term Spine Treatment Outcome Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Robust Situational Reinforcement Learning in Face of Context Disturbances.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

UADB: Unsupervised Anomaly Detection Booster.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Curriculum Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning Physics-Informed Neural Networks without Stacked Back-propagation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech.

[BibT_eX]

[DOI]

CoRR, 2022

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Objective Personalized Product Retrieval in Taobao Search.

[BibT_eX]

[DOI]

CoRR, 2022

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

[BibT_eX]

[DOI]

CoRR, 2022

LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data.

[BibT_eX]

[DOI]

CoRR, 2022

Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

AF<sub>2</sub>: Adaptive Focus Framework for Aerial Imagery Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction.

[BibT_eX]

[DOI]

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

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Differential Operators for Interpretable Time Series Modeling.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Graph-based Spatiotemporal Model for Energy Markets.

[BibT_eX]

[DOI]

Shivkumar Kalyanaraman

John Lemmon

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Subdomain Adaptation Network for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Model complexity of deep learning: a survey.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Demonstration actor critic.

[BibT_eX]

[DOI]

Neurocomputing, 2021

SHGNN: Structure-Aware Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

KGE-CL: Contrastive Learning of Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

[BibT_eX]

[DOI]

CoRR, 2021

HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information.

[BibT_eX]

[DOI]

CoRR, 2021

Instance-wise Graph-based Framework for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

REST: Relational Event-driven Stock Trend Forecasting.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Independence-aware Advantage Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep risk model: a deep learning solution for mining latent risk factors to improve covariance matrix estimation.

[BibT_eX]

[DOI]

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Revisiting the Evaluation of End-to-end Event Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Universal Trading for Order Execution with Oracle Policy Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Reweight with Deep Interactions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

COSEA: Convolutional Code Search with Layer-wise Attention.

[BibT_eX]

[DOI]

CoRR, 2020

Qlib: An AI-oriented Quantitative Investment Platform.

[BibT_eX]

[DOI]

CoRR, 2020

Learn to Use Future Information in Simultaneous Translation.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Teach with Deep Interactions.

[BibT_eX]

[DOI]

CoRR, 2020

MC-BERT: Efficient Language Pre-Training via a Meta Controller.

[BibT_eX]

[DOI]

CoRR, 2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Measuring Model Complexity of Neural Networks with Curve Activation Functions.

[BibT_eX]

[DOI]

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

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Invertible Image Rescaling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Light Multi-Segment Activation for Model Compression.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2019

LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm.

[BibT_eX]

[DOI]

CoRR, 2019

Fully Parameterized Quantile Function for Distributional Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Unified Policy Optimization for Robust Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Trust Region Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Investor-Imitator: A Framework for Trading Knowledge Extraction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Slim-DP: A Light Communication Data Parallelism for DNN.

[BibT_eX]

[DOI]

CoRR, 2017

Learning What Data to Learn.

[BibT_eX]

[DOI]

CoRR, 2017

Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Dual Inference for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dual Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2015

Indexing Earth Mover's Distance over Network Metrics.

[BibT_eX]

[DOI]

Ting Wang

Shicong Meng

Jiang Bian

IEEE Trans. Knowl. Data Eng., 2015

Active Learning for Ranking through Expected Loss Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding.

[BibT_eX]

[DOI]

CoRR, 2015

DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining.

[BibT_eX]

[DOI]

Bin Gao

Jiang Bian

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

2014

Exploiting User Preference for Online Learning in Web Content Optimization Systems.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2014

WordRep: A Benchmark for Research on Learning Word Representations.

[BibT_eX]

[DOI]

Bin Gao

Jiang Bian

Tie-Yan Liu

CoRR, 2014

Learning Effective Word Embedding using Morphological Word Similarity.

[BibT_eX]

[DOI]

CoRR, 2014

Sampling dilemma: towards effective data sampling for click prediction in sponsored search.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Knowledge-Powered Deep Learning for Word Embedding.

[BibT_eX]

[DOI]

Jiang Bian

Bin Gao

Tie-Yan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A Probabilistic Model for Learning Multi-Prototype Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the COLING 2014, 2014

Co-learning of Word Representations and Morpheme Representations.

[BibT_eX]

[DOI]

Proceedings of the COLING 2014, 2014

RC-NET: A General Framework for Incorporating Knowledge into Word Representations.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

User Action Interpretation for Online Content Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

An effective general framework for localized content optimization.

[BibT_eX]

[DOI]

Yoshiyuki Inagaki

Jiang Bian

Yi Chang

Proceedings of the 22nd International World Wide Web Conference, 2013

Psychological advertising: exploring user psychology for click prediction in sponsored search.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Learning to blend vitality rankings from heterogeneous social networks.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Model news relatedness through user comments.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

Optimizing user exploring experience in emerging e-commerce products.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

Enhancing product search by best-selling prediction in e-commerce.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Enhancing mobile search using web search log data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jiang Bian

Yi Chang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on World Wide Web, 2010

Ranking with query-dependent loss for web search.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Hybrid Generative/Discriminative Learning for Automatic Image Annotation.

[BibT_eX]

[DOI]

Shuang-Hong Yang

Jiang Bian

Hongyuan Zha

Proceedings of the UAI 2010, 2010

Optimizing unified loss for web ranking specialization.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Modeling information-seeker satisfaction in community question answering.

[BibT_eX]

[DOI]

Eugene Agichtein

Yandong Liu

Jiang Bian

ACM Trans. Knowl. Discov. Data, 2009

Learning to recognize reliable users and content in social media with coupled mutual reinforcement.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on World Wide Web, 2009

2008

Exploring social annotations for information retrieval.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on World Wide Web, 2008

Finding the right facts in the crowd: factoid question answering over social media.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on World Wide Web, 2008

Predicting information seeker satisfaction in community question answering.

[BibT_eX]

[DOI]

Yandong Liu

Jiang Bian

Eugene Agichtein

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

A few bad votes too many?: towards robust ranking in social media.

[BibT_eX]

[DOI]

Proceedings of the AIRWeb 2008, 2008

Jiang Bian

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