Chao Zhang
Orcid: 0000-0003-3009-598XAffiliations:
- 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 168 papers
between 2006 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling.
CoRR, 2024
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.
CoRR, 2024
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024
Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction.
CoRR, 2023
CoRR, 2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the International Conference on Machine Learning, 2023
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.
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.
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.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
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.
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.
CoRR, 2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning.
CoRR, 2022
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.
CoRR, 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.
CoRR, 2022
CoRR, 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data.
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.
Proceedings of the Machine Learning for Health, 2022
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction.
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.
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.
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.
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).
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification.
CoRR, 2021
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.
CoRR, 2021
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
Bioinform., 2021
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.
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.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Frontiers Big Data, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
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.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
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.
CoRR, 2019
DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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.
Proceedings of the 36th International Conference on Machine Learning, 2019
Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
PhD thesis, 2018
Toward Personalized Activity Level Prediction in Community Question Answering Websites.
ACM Trans. Multim. Comput. Commun. Appl., 2018
IEEE Trans. Multim., 2018
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
ACM Trans. Intell. Syst. Technol., 2018
IEEE Trans. Image Process., 2018
IEEE Trans. Cybern., 2018
pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data.
IEEE Trans. Big Data, 2018
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Expert Syst. J. Knowl. Eng., 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Cybern., 2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning.
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling.
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.
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.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
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.
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.
IEEE Trans. Multim., 2016
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
p-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data.
CoRR, 2016
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data.
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.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
2014
Proc. VLDB Endow., 2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
2012
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
2006