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Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review


Jul 06, 2021
Junfeng Jing, Tian Gao, Weichuan Zhang, Yongsheng Gao, Changming Sun


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DAGs with No Curl: An Efficient DAG Structure Learning Approach


Jun 14, 2021
Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji

* ICML2021, Code is available at https://github.com/fishmoon1234/DAG-NoCurl 

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iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform


Apr 11, 2021
Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury

* Equal contributions from first two authors. Accepted by IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), June 6-9, 2021 

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USTC-NELSLIP System Description for DIHARD-III Challenge


Mar 19, 2021
Yuxuan Wang, Maokui He, Shutong Niu, Lei Sun, Tian Gao, Xin Fang, Jia Pan, Jun Du, Chin-Hui Lee


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Integer Programming for Causal Structure Learning in the Presence of Latent Variables


Feb 05, 2021
Rui Chen, Sanjeeb Dash, Tian Gao


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Non-line-of-Sight Imaging via Neural Transient Fields


Jan 05, 2021
Siyuan Shen, Zi Wang, Ping Liu, Zhengqing Pan, Ruiqian Li, Tian Gao, Shiying Li, Jingyi Yu


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DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks


Oct 18, 2020
Dennis Wei, Tian Gao, Yue Yu

* 40 pages, 8 figures, to appear at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning


Oct 05, 2020
Lu Zhang, Mo Yu, Tian Gao, Yue Yu

* Accepted Findings of EMNLP2020 

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Type-augmented Relation Prediction in Knowledge Graphs


Sep 16, 2020
Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji


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"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation


Sep 05, 2020
Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao


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A Multi-Channel Neural Graphical Event Model with Negative Evidence


Feb 21, 2020
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

* AAAI 2020 

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Do Multi-hop Readers Dream of Reasoning Chains?


Oct 31, 2019
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao

* Accepted by MRQA Workshop 2019 

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Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering


Sep 17, 2019
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum


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Characterization of Overlap in Observational Studies


Jul 09, 2019
Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel Brat, David Sontag, Kush R. Varshney


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Generalized Linear Rule Models


Jun 05, 2019
Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Günlük

* Published in the Proceedings of the 36th International Conference on Machine Learning (ICML), PMLR 97:6687-6696, 2019. 17 pages, 7 figures 

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Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation


Jun 02, 2019
Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao

* This paper has been accepted by ACL2019 

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DAG-GNN: DAG Structure Learning with Graph Neural Networks


Apr 22, 2019
Yue Yu, Jie Chen, Tian Gao, Mo Yu

* ICML2019. Code is available at https://github.com/fishmoon1234/DAG-GNN 

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A Sequential Set Generation Method for Predicting Set-Valued Outputs


Mar 12, 2019
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock

* Published at AAAI 2019 

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e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations


Aug 05, 2017
Clemens Rosenbaum, Tian Gao, Tim Klinger

* 7 pages, 3 figures, presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia 

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