Chao Zhang

Orcid: 0000-0003-3009-598X

Affiliations:

Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (PhD 2016)

According to our database¹, Chao Zhang authored at least 130 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Demo: On-Device Video Analysis with LLMs.

[BibT_eX]

[DOI]

Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

2023

DF2: Distribution-Free Decision-Focused Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

[BibT_eX]

[DOI]

CoRR, 2023

ToolQA: A Dataset for LLM Question Answering with External Tools.

[BibT_eX]

[DOI]

CoRR, 2023

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

AdaPlanner: Adaptive Planning from Feedback with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Unsupervised Event Chain Mining from Multiple Documents.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Implicit Query Parsing at Amazon Product Search.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.

[BibT_eX]

[DOI]

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

Local Boosting for Weakly-Supervised Learning.

[BibT_eX]

[DOI]

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

Uncertainty Quantification in Deep Learning.

[BibT_eX]

[DOI]

Lingkai Kong

Harshavardhan Kamarthi

Peng Chen

B. Aditya Prakash

Chao Zhang

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

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting.

[BibT_eX]

[DOI]

Harshavardhan Kamarthi

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

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Autoregressive Diffusion Model for Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract.

[BibT_eX]

[DOI]

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

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites.

[BibT_eX]

[DOI]

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Extracting Shopping Interest-Related Product Types from the Web.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neighborhood-Regularized Self-Training for Learning with Few Labels.

[BibT_eX]

[DOI]

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

2022

A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning.

[BibT_eX]

[DOI]

CoRR, 2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

[BibT_eX]

[DOI]

CoRR, 2022

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.

[BibT_eX]

[DOI]

CoRR, 2022

SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling.

[BibT_eX]

[DOI]

CoRR, 2022

PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series.

[BibT_eX]

[DOI]

Harshavardhan Kamarthi

CoRR, 2022

Shift-Robust Node Classification via Graph Adversarial Clustering.

[BibT_eX]

[DOI]

CoRR, 2022

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Programmatic Weak Supervision.

[BibT_eX]

[DOI]

CoRR, 2022

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting.

[BibT_eX]

[DOI]

Harshavardhan Kamarthi

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

End-to-end Stochastic Optimization with Energy-based Model.

[BibT_eX]

[DOI]

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

Self-Training with Differentiable Teacher.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2022

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction.

[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

Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition.

[BibT_eX]

[DOI]

Yinghao Li

Le Song

Chao Zhang

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

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Semantics-Aware Hidden Markov Model for Human Mobility.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification.

[BibT_eX]

[DOI]

CoRR, 2021

PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.

[BibT_eX]

[DOI]

CoRR, 2021

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.

[BibT_eX]

[DOI]

Bioinform., 2021

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting.

[BibT_eX]

[DOI]

Harshavardhan Kamarthi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts.

[BibT_eX]

[DOI]

Frontiers Big Data, 2020

Transformer-Based Neural Text Generation with Syntactic Guidance.

[BibT_eX]

[DOI]

CoRR, 2020

Partially-Typed NER Datasets Integration: Connecting Practice to Theory.

[BibT_eX]

[DOI]

CoRR, 2020

paper2repo: GitHub Repository Recommendation for Academic Papers.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Discriminative Topic Mining via Category-Name Guided Text Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Joint Aspect-Sentiment Analysis with Minimal User Guidance.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.

[BibT_eX]

[DOI]

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

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.

[BibT_eX]

[DOI]

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

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.

[BibT_eX]

[DOI]

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

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision.

[BibT_eX]

[DOI]

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

SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates.

[BibT_eX]

[DOI]

Lingkai Kong

Jimeng Sun

Chao Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup.

[BibT_eX]

[DOI]

Rongzhi Zhang

Yue Yu

Chao Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Denoising Multi-Source Weak Supervision for Neural Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Text Classification Using Label Names Only: A Language Model Self-Training Approach.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Graph Clustering with Embedding Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Multidimensional Mining of Massive Text Data

[BibT_eX]

[DOI]

Chao Zhang

Jiawei Han

Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01914-2, 2019

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.

[BibT_eX]

[DOI]

CoRR, 2019

CatE: Category-Name GuidedWord Embedding.

[BibT_eX]

[DOI]

CoRR, 2019

DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Semantics-Aware Hidden Markov Model for Human Mobility.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

GeoAttn: Localization of Social Media Messages via Attentional Memory Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spherical Text Embedding.

[BibT_eX]

[DOI]

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

State-Sharing Sparse Hidden Markov Models for Personalized Sequences.

[BibT_eX]

[DOI]

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

A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Weakly-Supervised Hierarchical Text Classification.

[BibT_eX]

[DOI]

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

2018

Multi-dimensional mining of unstructured data with limited supervision

[BibT_eX]

[DOI]

Chao Zhang

PhD thesis, 2018

Toward Personalized Activity Level Prediction in Community Question Answering Websites.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2018

Online Modeling of Esthetic Communities Using Deep Perception Graph Analytics.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Perceptually Aware Image Retargeting for Mobile Devices.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Engineering Deep Representations for Modeling Aesthetic Perception.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2018

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Learning deep representation for trajectory clustering.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2018

Low-Norm Graph Embedding.

[BibT_eX]

[DOI]

Yihan Gao

Chao Zhang

Jian Peng

Aditya G. Parameswaran

CoRR, 2018

Deep Learning for the Internet of Things.

[BibT_eX]

[DOI]

Computer, 2018

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.

[BibT_eX]

[DOI]

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

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks.

[BibT_eX]

[DOI]

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

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion.

[BibT_eX]

[DOI]

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

A Constrained Maximum Likelihood Estimator for Unguided Social Sensing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Doc2Cube: Allocating Documents to Text Cube Without Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Weakly-Supervised Neural Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Open-Schema Event Profiling for Massive News Corpora.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Leveraging the Power of Informative Users for Local Event Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling.

[BibT_eX]

[DOI]

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

Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach.

[BibT_eX]

[DOI]

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

2017

SnapVideo: Personalized Video Generation for a Sightseeing Trip.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

PRED: Periodic Region Detection for Mobility Modeling of Social Media Users.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Trajectory clustering via deep representation learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications.

[BibT_eX]

[DOI]

Chao Zhang

Quan Yuan

Jiawei Han

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Detecting Multiple Periods and Periodic Patterns in Event Time Sequences.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Flickr Circles: Aesthetic Tendency Discovery by Multi-View Regularized Topic Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2016

Mining Contiguous Sequential Generators in Biological Sequences.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

p-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data.

[BibT_eX]

[DOI]

CoRR, 2016

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams.

[BibT_eX]

[DOI]

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Fast Inbound Top-K Query for Random Walk with Restart.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Trendspedia: An Internet observatory for analyzing and visualizing the evolving web.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Chao Zhang

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