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ORCIDTiancheng Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j10]Tiancheng Zhao
, Gabriel A. Rincón-Mora:
Unraveling Negative Feedback Translations: Gains, Peaking, Stability, and Loop Variations. IEEE Trans. Circuits Syst. II Express Briefs 72(3): 454-458 (2025)- [j9]Yulong Guo, Zilun Zhang, Yongheng Shang, Tiancheng Zhao, Shuiguang Deng, Yingchun Yang, Jianwei Yin:
SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025) - [c35]Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Ruochen Xu, Zilun Zhang, Jianwei Yin:
The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding? ACL (Findings) 2025: 6501-6512 - [c34]Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li, Jintao Chen, Zhongyi Wang, Liqiang Lu, Xinkui Zhao, Shuiguang Deng, Jianwei Yin:
Horae: A Domain-Agnostic Language for Automated Service Regulation. IJCAI 2025: 9349-9356 - [c33]Ge Su, Kaiping Zheng, Tiancheng Zhao, Jianwei Yin:
CLEAR: Addressing Representation Contamination in Multimodal Healthcare Analytics. KDD (1) 2025: 1289-1300 - [i49]Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Ruochen Xu, Zilun Zhang, Jianwei Yin:
The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding? CoRR abs/2502.13441 (2025) - [i48]Zilun Zhang, Haozhan Shen, Tiancheng Zhao, Bin Chen, Zian Guan, Yuhao Wang, Xu Jia, Yuxiang Cai, Yongheng Shang, Jianwei Yin:
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing. CoRR abs/2503.12490 (2025) - [i47]Haozhan Shen, Peng Liu, Jingcheng Li, Chunxin Fang, Yibo Ma, Jiajia Liao, Qiaoli Shen, Zilun Zhang, Kangjia Zhao, Qianqian Zhang, Ruochen Xu, Tiancheng Zhao:
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model. CoRR abs/2504.07615 (2025) - [i46]Yulong Guo, Zilun Zhang, Yongheng Shang, Tiancheng Zhao, Shuiguang Deng, Yingchun Yang, Jianwei Yin:
SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation. CoRR abs/2504.19839 (2025) - [i45]Shangyu Li, Juyong Jiang, Tiancheng Zhao, Jiasi Shen:
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification. CoRR abs/2504.20964 (2025) - [i44]Qianqian Zhang, Jiajia Liao, Heting Ying, Yibo Ma, Haozhan Shen, Jingcheng Li, Peng Liu, Lu Zhang, Chunxin Fang, Kyusong Lee, Ruochen Xu, Tiancheng Zhao:
Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research. CoRR abs/2505.24354 (2025) - [i43]Wenpeng Xing, Jie Chen, Zaifeng Yang, Tiancheng Zhao, Gaolei Li, Changting Lin, Yike Guo, Meng Han:
CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition. CoRR abs/2508.06632 (2025) - [i42]Tiancheng Zhao, Zekun Yin, Huihai An, Xiaoyu Yang, Zhou Jin, Jiasi Shen, Helen Xu:
pdGRASS: A Fast Parallel Density-Aware Algorithm for Graph Spectral Sparsification. CoRR abs/2508.20403 (2025) - 2024
- [j8]Qingxiong Tan, Jin Xiao, Jiayang Chen, Yixuan Wang, Zeliang Zhang, Tiancheng Zhao, Yu Li:
ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers. Briefings Bioinform. 25(4) (2024) - [j7]Tiancheng Zhao, Peng Liu, Kyusong Lee:
OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network. IET Comput. Vis. 18(5): 626-639 (2024) - [j6]Lisha Gao, Zhoujun Ma, Shuo Han, Tiancheng Zhao, Qingcheng Liu, Zhangjie Fu:
Robust Mixed-Rate Region-of-Interest-Aware Video Compressive Sensing for Transmission Line Surveillance Video. Inf. 15(9): 555 (2024) - [j5]Zilun Zhang, Tiancheng Zhao, Yulong Guo, Jianwei Yin:
RS5M and GeoRSCLIP: A Large-Scale Vision- Language Dataset and a Large Vision-Language Model for Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-23 (2024) - [j4]Jintao Chen, Shengye Pang, Meng Xi, Tiancheng Zhao, Shuiguang Deng, Jianwei Yin:
Service Regulation Analysis Framework for Service Design Time: A Case Study of Internet Healthcare Service. IEEE Trans. Serv. Comput. 17(5): 2876-2889 (2024) - [c32]Haozhan Shen, Tiancheng Zhao, Mingwei Zhu, Jianwei Yin:
GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection. AAAI 2024: 4766-4775 - [c31]Yiyang Yao, Peng Liu, Tiancheng Zhao, Qianqian Zhang, Jiajia Liao, Chunxin Fang, Kyusong Lee, Qing Wang:
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection. AAAI 2024: 6630-6638 - [c30]Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, Kyusong Lee:
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer. EMNLP 2024: 10031-10045 - [c29]Libing Zou, Weikai Kong, Dapeng Jin, Pengbo Zhang, Tiancheng Zhao, Shikuan Liang, Bin Li, Chengyue Liu:
Research on game decision-making method for semi-trailer trucks without signalized intersection scenarios. ICAICE 2024: 346-350 - [c28]Jianwei Yin, Tiancheng Zhao, Li Kuang:
Towards Cross-Domain Multimodal Automated Service Regulation Systems. ICWS 2024: 426-436 - [c27]Jintao Chen, Fan Wang, Shengye Pang, Siwei Tan, Mingshuai Chen, Tiancheng Zhao, Meng Xi, Jianwei Yin:
UniGM: Unifying Multiple Pre-trained Graph Models via Adaptive Knowledge Aggregation. ACM Multimedia 2024: 8556-8565 - [i41]Tiancheng Zhao, Peng Liu, Xuan He, Lu Zhang, Kyusong Lee:
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head. CoRR abs/2403.06892 (2024) - [i40]Yutao Sun, Mingshuai Chen, Kangjia Zhao, He Li, Jintao Chen, Linyu Yang, Zhongyi Wang, Tiancheng Zhao, Jianwei Yin:
HORAE: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation. CoRR abs/2406.06600 (2024) - [i39]Yinggang Sun, Ziming Guo, Haining Yu, Chuanyi Liu, Xiang Li, Bingxuan Wang, Xiangzhan Yu, Tiancheng Zhao:
QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL. CoRR abs/2406.10593 (2024) - [i38]Zilun Zhang, Yutao Sun, Tiancheng Zhao, Leigang Sha, Ruochen Xu, Kyusong Lee, Jianwei Yin:
Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression. CoRR abs/2406.11354 (2024) - [i37]Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, Kyusong Lee:
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer. CoRR abs/2406.16620 (2024) - [i36]Tiancheng Zhao, Qianqian Zhang, Kyusong Lee, Peng Liu, Lu Zhang, Chunxin Fang, Jiajia Liao, Kelei Jiang, Yibo Ma, Ruochen Xu:
OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding. CoRR abs/2407.04923 (2024) - [i35]Zilun Zhang, Haozhan Shen, Tiancheng Zhao, Yuhao Wang, Bin Chen, Yuxiang Cai, Yongheng Shang, Jianwei Yin:
Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG. CoRR abs/2411.07688 (2024) - [i34]Haozhan Shen, Kangjia Zhao, Tiancheng Zhao, Ruochen Xu, Zilun Zhang, Mingwei Zhu, Jianwei Yin:
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration. CoRR abs/2411.16044 (2024) - [i33]Ziming Guo, Chao Ma, Yinggang Sun, Tiancheng Zhao, Guangyao Wang, Hai Huang:
Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types. CoRR abs/2412.17867 (2024) - [i32]Kangjia Zhao, Jiahui Song, Leigang Sha, Haozhan Shen, Zhi Chen, Tiancheng Zhao, Xiubo Liang, Jianwei Yin:
GUI Testing Arena: A Unified Benchmark for Advancing Autonomous GUI Testing Agent. CoRR abs/2412.18426 (2024) - 2023
- [b1]Tiancheng Zhao:
Learning to Converse With Latent Actions. Carnegie Mellon University, USA, 2023 - [j3]Jaemin Yoo, Tiancheng Zhao, Leman Akoglu:
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success. Trans. Mach. Learn. Res. 2023 (2023) - [c26]Kai Sun, Tiancheng Zhao, Yangling Chen, Shuo Han, Yue Wu, Nan Xiang:
A Chinese Information Operation and Maintenance Knowledge Retrieval Corpus. IoTAAI 2023: 214-218 - [i31]Zilun Zhang, Tiancheng Zhao, Yulong Guo, Jianwei Yin:
RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model. CoRR abs/2306.11300 (2023) - [i30]Yiyang Yao, Peng Liu, Tiancheng Zhao, Qianqian Zhang, Jiajia Liao, Chunxin Fang, Kyusong Lee, Qing Wang:
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection. CoRR abs/2308.13177 (2023) - [i29]Mingwei Zhu, Leigang Sha, Yu Shu, Kangjia Zhao, Tiancheng Zhao, Jianwei Yin:
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models. CoRR abs/2310.13473 (2023) - [i28]Haozhan Shen, Tiancheng Zhao, Mingwei Zhu, Jianwei Yin:
GroundVLP: Harnessing Zero-shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection. CoRR abs/2312.15043 (2023) - 2022
- [c25]Tiancheng Zhao, Tianqi Zhang, Mingwei Zhu, Haozhan Shen, Kyusong Lee, Xiaopeng Lu, Jianwei Yin:
An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models. EMNLP (Demos) 2022: 30-37 - [c24]Jintao Chen, Jianwei Yin, Shuiguang Deng, Tiancheng Zhao, Meng Xi:
Service Regulation: Modeling and Recognition. ICSOC 2022: 89-104 - [i27]Tiancheng Zhao, Tianqi Zhang, Mingwei Zhu, Haozhan Shen, Kyusong Lee, Xiaopeng Lu, Jianwei Yin:
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations. CoRR abs/2207.00221 (2022) - [i26]Jaemin Yoo, Tiancheng Zhao, Leman Akoglu:
Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection. CoRR abs/2208.07734 (2022) - [i25]Tiancheng Zhao, Peng Liu, Xiaopeng Lu, Kyusong Lee:
OmDet: Language-Aware Object Detection with Large-scale Vision-Language Multi-dataset Pre-training. CoRR abs/2209.05946 (2022) - [i24]Xin Chen, Jiachun Li, Menglong Li, Tiancheng Zhao, Yuan Zhou:
Assortment Optimization Under the Multivariate MNL Model. CoRR abs/2209.15220 (2022) - 2021
- [c23]Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee:
VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words. ACL/IJCNLP (1) 2021: 5020-5029 - [c22]Xiaopeng Lu, Kyusong Lee, Tiancheng Zhao:
SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering. EACL (System Demonstrations) 2021: 7-13 - [c21]Tiancheng Zhao, Xiaopeng Lu, Kyusong Lee:
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. NAACL-HLT 2021: 565-575 - [i23]Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee:
VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search. CoRR abs/2101.00265 (2021) - [i22]Xiaopeng Lu, Kyusong Lee, Tiancheng Zhao:
SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering. CoRR abs/2101.01910 (2021) - 2020
- [c20]Tiancheng Zhao, Kyusong Lee:
Talk to Papers: Bringing Neural Question Answering to Academic Search. ACL (demo) 2020: 30-36 - [c19]Yulan Feng, Shikib Mehri, Maxine Eskénazi, Tiancheng Zhao:
"None of the Above": Measure Uncertainty in Dialog Response Retrieval. ACL 2020: 2013-2020 - [i21]Yulan Feng, Shikib Mehri, Maxine Eskénazi, Tiancheng Zhao:
"None of the Above": Measure Uncertainty in Dialog Response Retrieval. CoRR abs/2004.01926 (2020) - [i20]Tiancheng Zhao, Kyusong Lee:
Talk to Papers: Bringing Neural Question Answering to Academic Search. CoRR abs/2004.02002 (2020) - [i19]Maxine Eskénazi, Tiancheng Zhao:
Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges. CoRR abs/2006.06026 (2020) - [i18]Tiancheng Zhao, Xiaopeng Lu, Kyusong Lee:
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. CoRR abs/2009.13013 (2020)
2010 – 2019
- 2019
- [c18]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [c17]Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskénazi:
Pretraining Methods for Dialog Context Representation Learning. ACL (1) 2019: 3836-3845 - [c16]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. ACL (1) 2019: 5624-5634 - [c15]Tiancheng Zhao, Kaige Xie, Maxine Eskénazi:
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models. NAACL-HLT (1) 2019: 1208-1218 - [c14]Weiyan Shi, Tiancheng Zhao, Zhou Yu:
Unsupervised Dialog Structure Learning. NAACL-HLT (1) 2019: 1797-1807 - [c13]Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskénazi, Jeffrey P. Bigham:
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References. SIGdial 2019: 379-391 - [i17]Maxine Eskénazi, Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao:
Beyond Turing: Intelligent Agents Centered on the User. CoRR abs/1901.06613 (2019) - [i16]Tiancheng Zhao, Kaige Xie, Maxine Eskénazi:
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models. CoRR abs/1902.08858 (2019) - [i15]Weiyan Shi, Tiancheng Zhao, Zhou Yu:
Unsupervised Dialog Structure Learning. CoRR abs/1904.03736 (2019) - [i14]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. CoRR abs/1905.11553 (2019) - [i13]Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskénazi:
Pretraining Methods for Dialog Context Representation Learning. CoRR abs/1906.00414 (2019) - [i12]Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskénazi, Jeffrey P. Bigham:
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References. CoRR abs/1907.10568 (2019) - 2018
- [c12]Tiancheng Zhao, Kyusong Lee, Maxine Eskénazi:
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation. ACL (1) 2018: 1098-1107 - [c11]Tiancheng Zhao, Maxine Eskénazi:
Zero-Shot Dialog Generation with Cross-Domain Latent Actions. SIGDIAL Conference 2018: 1-10 - [c10]Jiaping Zhang, Tiancheng Zhao, Zhou Yu:
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog. SIGDIAL Conference 2018: 140-150 - [c9]Kyusong Lee, Tiancheng Zhao, Alan W. Black, Maxine Eskénazi:
DialCrowd: A toolkit for easy dialog system assessment. SIGDIAL Conference 2018: 245-248 - [i11]Tiancheng Zhao, Kyusong Lee, Maxine Eskénazi:
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation. CoRR abs/1804.08069 (2018) - [i10]Jiaping Zhang, Tiancheng Zhao, Zhou Yu:
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog. CoRR abs/1805.03257 (2018) - [i9]Tiancheng Zhao, Maxine Eskénazi:
Zero-Shot Dialog Generation with Cross-Domain Latent Actions. CoRR abs/1805.04803 (2018) - [i8]Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR abs/1809.00794 (2018) - [i7]Yijun Xiao, Tiancheng Zhao, William Yang Wang:
Dirichlet Variational Autoencoder for Text Modeling. CoRR abs/1811.00135 (2018) - 2017
- [j2]Fengming Hui, Tiancheng Zhao, Xinqing Li, Mohammed Shokr, Petra Heil, Jiechen Zhao, Lin Zhang, Xiao Cheng:
Satellite-Based Sea Ice Navigation for Prydz Bay, East Antarctica. Remote. Sens. 9(6): 518 (2017) - [c8]Tiancheng Zhao, Ran Zhao, Maxine Eskénazi:
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders. ACL (1) 2017: 654-664 - [c7]Kyusong Lee, Tiancheng Zhao, Stefan Ultes, Lina Maria Rojas-Barahona, Eli Pincus, David R. Traum, Maxine Eskénazi:
An Assessment Framework for DialPort. IWSDS 2017: 79-85 - [c6]Tiancheng Zhao, Allen Lu, Kyusong Lee, Maxine Eskénazi:
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability. SIGDIAL Conference 2017: 27-36 - [c5]Kyusong Lee, Tiancheng Zhao, Yulun Du, Edward Cai, Allen Lu, Eli Pincus, David R. Traum, Stefan Ultes, Lina Maria Rojas-Barahona, Milica Gasic, Steve J. Young, Maxine Eskénazi:
DialPort, Gone Live: An Update After A Year of Development. SIGDIAL Conference 2017: 170-173 - [i6]Tiancheng Zhao, Ran Zhao, Maxine Eskénazi:
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders. CoRR abs/1703.10960 (2017) - [i5]Tiancheng Zhao, Allen Lu, Kyusong Lee, Maxine Eskénazi:
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability. CoRR abs/1706.08476 (2017) - 2016
- [j1]Fengming Hui, Xinqing Li, Tiancheng Zhao, Mohammed Shokr, Petra Heil, Jiechen Zhao, Yan Liu, Shunlin Liang, Xiao Cheng:
Semi-Automatic Mapping of Tidal Cracks in the Fast Ice Region near Zhongshan Station in East Antarctica Using Landsat-8 OLI Imagery. Remote. Sens. 8(3): 242 (2016) - [c4]Andrew Wilkinson, Tiancheng Zhao, Alan W. Black:
Deriving Phonetic Transcriptions and Discovering Word Segmentations for Speech-to-Speech Translation in Low-Resource Settings. INTERSPEECH 2016: 3086-3090 - [c3]Tiancheng Zhao, Maxine Eskénazi:
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning. SIGDIAL Conference 2016: 1-10 - [c2]Tiancheng Zhao, Kyusong Lee, Maxine Eskénazi:
DialPort: Connecting the spoken dialog research community to real user data. SLT 2016: 83-90 - [i4]Tiancheng Zhao, Mohammad Gowayyed:
Algorithms for Batch Hierarchical Reinforcement Learning. CoRR abs/1603.08869 (2016) - [i3]Tiancheng Zhao, Maxine Eskénazi:
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning. CoRR abs/1606.02560 (2016) - [i2]Tiancheng Zhao, Kyusong Lee, Maxine Eskénazi:
DialPort: Connecting the Spoken Dialog Research Community to Real User Data. CoRR abs/1606.02562 (2016) - [i1]Tiancheng Zhao, Ran Zhao, Zhao Meng, Justine Cassell:
Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog. CoRR abs/1610.03112 (2016) - 2015
- [c1]Tiancheng Zhao, Alan W. Black, Maxine Eskénazi:
An Incremental Turn-Taking Model with Active System Barge-in for Spoken Dialog Systems. SIGDIAL Conference 2015: 42-50
Coauthor Index
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