Tiancheng Zhao
Orcid: 0009-0001-8748-0953
According to our database1,
Tiancheng Zhao
authored at least 57 papers
between 2015 and 2024.
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Bibliography
2024
Robust Mixed-Rate Region-of-Interest-Aware Video Compressive Sensing for Transmission Line Surveillance Video.
Inf., September, 2024
OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network.
IET Comput. Vis., August, 2024
Service Regulation Analysis Framework for Service Design Time: A Case Study of Internet Healthcare Service.
IEEE Trans. Serv. Comput., 2024
RS5M and GeoRSCLIP: A Large-Scale Vision- Language Dataset and a Large Vision-Language Model for Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2024
OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding.
CoRR, 2024
CoRR, 2024
CoRR, 2024
HORAE: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation.
CoRR, 2024
CoRR, 2024
ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers.
Briefings Bioinform., 2024
UniGM: Unifying Multiple Pre-trained Graph Models via Adaptive Knowledge Aggregation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Conference on Web Services, 2024
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success.
Trans. Mach. Learn. Res., 2023
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models.
CoRR, 2023
RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model.
CoRR, 2023
Proceedings of the 5th International Conference on Internet of Things, 2023
2022
OmDet: Language-Aware Object Detection with Large-scale Vision-Language Multi-dataset Pre-training.
CoRR, 2022
CoRR, 2022
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations.
CoRR, 2022
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search.
CoRR, 2021
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021
VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges.
CoRR, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
CoRR, 2018
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Remote. Sens., 2017
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017
Proceedings of the Advanced Social Interaction with Agents, 2017
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Semi-Automatic Mapping of Tidal Cracks in the Fast Ice Region near Zhongshan Station in East Antarctica Using Landsat-8 OLI Imagery.
Remote. Sens., 2016
Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog.
CoRR, 2016
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning.
Proceedings of the SIGDIAL 2016 Conference, 2016
Deriving Phonetic Transcriptions and Discovering Word Segmentations for Speech-to-Speech Translation in Low-Resource Settings.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
An Incremental Turn-Taking Model with Active System Barge-in for Spoken Dialog Systems.
Proceedings of the SIGDIAL 2015 Conference, 2015