Tiancheng Zhao

According to our database1, Tiancheng Zhao authored at least 44 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head.
CoRR, 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
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

A Chinese Information Operation and Maintenance Knowledge Retrieval Corpus.
Proceedings of the 5th International Conference on Internet of Things, 2023

2022
Assortment Optimization Under the Multivariate MNL Model.
CoRR, 2022

OmDet: Language-Aware Object Detection with Large-scale Vision-Language Multi-dataset Pre-training.
CoRR, 2022

Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection.
CoRR, 2022

VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations.
CoRR, 2022

Service Regulation: Modeling and Recognition.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models.
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

SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering.
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

Talk to Papers: Bringing Neural Question Answering to Academic Search.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

"None of the Above": Measure Uncertainty in Dialog Response Retrieval.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Beyond Turing: Intelligent Agents Centered on the User.
CoRR, 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

Unsupervised Dialog Structure Learning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Target-Guided Open-Domain Conversation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Pretraining Methods for Dialog Context Representation Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Dirichlet Variational Autoencoder for Text Modeling.
CoRR, 2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
CoRR, 2018

Zero-Shot Dialog Generation with Cross-Domain Latent Actions.
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

DialCrowd: A toolkit for easy dialog system assessment.
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
Satellite-Based Sea Ice Navigation for Prydz Bay, East Antarctica.
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

DialPort, Gone Live: An Update After A Year of Development.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

An Assessment Framework for DialPort.
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

Algorithms for Batch Hierarchical Reinforcement Learning.
CoRR, 2016

DialPort: Connecting the spoken dialog research community to real user data.
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 Interspeech 2016, 2016

2015
An Incremental Turn-Taking Model with Active System Barge-in for Spoken Dialog Systems.
Proceedings of the SIGDIAL 2015 Conference, 2015


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