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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
- 2023
[j38]Xiaohong Diao, Linru Jiang, Tian Gao
, Liang Zhang, Junyu Zhang, Longfei Wang, Qizhi Wu:
Research on Electric Vehicle Charging Safety Warning Based on A-LSTM Algorithm. IEEE Access 11: 55081-55093 (2023)- [j37]Tian Gao, Meian Li, Lixia Xue, Jingwen Bao, Hao Lian, Tin Li, Yanyu Shi:
Height-Variable Monocular Vision Ranging Technology for Smart Agriculture. IEEE Access 11: 92847-92856 (2023) - [j36]Yan Shen, Luyi Jing, Tian Gao, Zizhao Song, Ji Ma:
A multiple classifiers time-serial ensemble pruning algorithm based on the mechanism of forward supplement. Appl. Intell. 53(5): 5620-5634 (2023) - [j35]Junfeng Jing, Tian Gao, Weichuan Zhang, Yongsheng Gao, Changming Sun:
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4694-4712 (2023) - [j34]Tian Gao, Chaozhen Lan, Longhao Wang, Wenjun Huang, Fushan Yao, Zijun Wei:
Leveraging CNNs for Panoramic Image Matching Based on Improved Cube Projection Model. Remote. Sens. 15(13): 3411 (2023) - [j33]Wei Xue, Jing Sun, Yan Yang, Tian Gao, Sen Yan, Xiaoming Chen:
Effects of User Proximity on Total Radiated Power and Total Isotropic Sensitivity Measurements in Reverberation Chambers. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j32]Mingyue Zhang, Junlong Zhou, Gongxuan Zhang, Lei Cui, Tian Gao, Shui Yu:
APDP: Attribute-Based Personalized Differential Privacy Data Publishing Scheme for Social Networks. IEEE Trans. Netw. Sci. Eng. 10(2): 922-933 (2023) - [j31]Yang Shi, Tian Gao, Xiaohan Jiao, Nan Cao:
Breaking the Fourth Wall of Data Stories through Interaction. IEEE Trans. Vis. Comput. Graph. 29(1): 972-982 (2023) - [c92]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett:
Concurrent Multi-Label Prediction in Event Streams. AAAI 2023: 9820-9828 - [c91]Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou:
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation. AAAI 2023: 12189-12197 - [c90]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett:
Influence-Aware Attention for Multivariate Temporal Point Processes. CLeaR 2023: 499-517 - [c89]Zhao Xie, Tian Gao, Kewei Wu, Jiao Chang:
An Actor-centric Causality Graph for Asynchronous Temporal Inference in Group Activity. CVPR 2023: 6652-6661 - [c88]Zijun Cui, Chenyi Kuang, Tian Gao, Kartik Talamadupula, Qiang Ji:
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling. CVPR 2023: 8694-8703 - [c87]Haonan Liang, Tianshi Gao, Tian Gao, Jiangtao Luo, Jiang Wang, Bin Deng:
Fast and accurate object recognition based on tactile data by using Dendrite Net. I2MTC 2023: 1-6 - [c86]Songtao Lu, Tian Gao:
Meta-Dag: Meta Causal Discovery Via Bilevel Optimization. ICASSP 2023: 1-5 - [c85]Ruoyu Wang, Jun Du, Tian Gao:
Quantum Transfer Learning Using the Large-Scale Unsupervised Pre-Trained Model Wavlm-Large for Synthetic Speech Detection. ICASSP 2023: 1-5 - [c84]Haitao Xu, Liangfa Wei, Jie Zhang, Jianming Yang, Yannan Wang, Tian Gao, Xin Fang, Li-Rong Dai:
A Multi-Scale Feature Aggregation Based Lightweight Network for Audio-Visual Speech Enhancement. ICASSP 2023: 1-5 - [c83]Xueyang Zhang, Shuxian Wang, Jun Du, Genwei Yan, Jigang Tang, Tian Gao, Xin Fang, Jia Pan, Jianqing Gao:
Frame-Level Embedding Learning for Few-shot Bioacoustic Event Detection. ICME 2023: 750-755 - [c82]Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett:
Probabilistic Attention-to-Influence Neural Models for Event Sequences. ICML 2023: 31657-31674 - [c81]Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel:
Approximate Inference in Logical Credal Networks. IJCAI 2023: 5694-5701 - [i30]Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu:
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. CoRR abs/2301.12095 (2023) - [i29]Zhixing Hou, Yuzhang Shang, Tian Gao, Yan Yan:
BPT: Binary Point Cloud Transformer for Place Recognition. CoRR abs/2303.01166 (2023) - [i28]Tian Gao, Cheng-Zhong Xu, Le Zhang, Hui Kong:
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples. CoRR abs/2305.07931 (2023) - [i27]Ruoyu Wang, Maokui He, Jun Du, Hengshun Zhou, Shutong Niu, Hang Chen, Yanyan Yue, Gaobin Yang, Shilong Wu, Lei Sun, Yanhui Tu, Haitao Tang, Shuangqing Qian, Tian Gao, Mengzhi Wang, Genshun Wan, Jia Pan, Jianqing Gao, Chin-Hui Lee:
The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge. CoRR abs/2308.14638 (2023) - 2022
- [j30]Zexin Yang, Xueliang Huang, Tian Gao, Yu Liu, Shan Gao:
Real-Time Energy Management Strategy for Parking Lot Considering Maximum Penetration of Electric Vehicles. IEEE Access 10: 5281-5291 (2022) - [j29]Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - [j28]Huaiqian You, Yue Yu, Marta D'Elia, Tian Gao, Stewart Silling:
Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network. J. Comput. Phys. 469: 111536 (2022) - [j27]Junmin Bao, Junfeng Jing, Weichuan Zhang, Chao Liu, Tian Gao:
A corner detection method based on adaptive multi-directional anisotropic diffusion. Multim. Tools Appl. 81(20): 28729-28754 (2022) - [j26]Qingda Chen, Tian Gao, Jiaojun Zhu, Fayun Wu, Xiufen Li, Deliang Lu, Fengyuan Yu:
Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests. Remote. Sens. 14(12): 2787 (2022) - [j25]Longhao Wang, Chaozhen Lan, Beibei Wu, Tian Gao, Zijun Wei, Fushan Yao:
A Method for Detecting Feature-Sparse Regions and Matching Enhancement. Remote. Sens. 14(24): 6214 (2022) - [j24]Qi Wang, Jiayi Jiang, Tian Gao, Shurui Ren:
State of Charge Estimation of Li-Ion Battery Based on Adaptive Sliding Mode Observer. Sensors 22(19): 7678 (2022) - [j23]Tian Gao, Min Xiao, Pingping Chen, Diyan Gao:
New Unequal Error Protection Strategy for Image Transmission Based on Bilayer-Lengthened PLDPC Code in Half-Duplex Relay System. Symmetry 14(8): 1662 (2022) - [c80]Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins, Doug Downey, Tian Gao, Kexin Huang, Dinghao Shen, Jenny M. Vo-Phamhi, Yitong Wang, Yuning Wang, Anna Zeng:
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. CIDR 2022 - [c79]Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian:
Process Independence Testing in Proximal Graphical Event Models. CLeaR 2022: 144-161 - [c78]Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu:
Learning and Retrieval from Prior Data for Skill-based Imitation Learning. CoRL 2022: 2181-2204 - [c77]Yujing Liu, Tian Gao, Dongxiao Niu, Huanfen Zhang:
Research on Collaborative Governance of Data Security in the Whole Life Cycle of Electric Power Manufacturing Data Space. CSCWD 2022: 119-126 - [c76]Ran Liu, Tian Gao, Mingqiang Guo:
Reconstructing Negative Survey with Least Squares Criterion. ICDIS 2022: 105-110 - [c75]Tian Gao, Zhengsen Ji, Dongxiao Niu, Yulian Xi:
Research on product sales forecasting based on multi-value chain collaborative data management system in manufacturing industry. ICEBE 2022: 86-93 - [c74]Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu:
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data. ICML 2022: 6988-7001 - [c73]Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu:
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. ICML 2022: 12765-12781 - [c72]Tian Gao, Yanmei Li:
The Influence of Disease Avoidance Motive on the Economic Behavior Ethics under the Impact of Pandemic: A Moderated Mediation Model. IMMS 2022: 272-279 - [c71]Jin Li, Xin Fang, Fan Chu, Tian Gao, Yan Song, Rong Li Dai:
Acoustic Feature Shuffling Network for Text-independent Speaker Verification. INTERSPEECH 2022: 4790-4794 - [c70]Kang You, Kele Xu, Boqing Zhu, Ming Feng, Dawei Feng, Bo Liu, Tian Gao, Bo Ding:
Masked Modeling-based Audio Representation for ACM Multimedia 2022 Computational Paralinguistics ChallengE. ACM Multimedia 2022: 7060-7064 - [c69]Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu:
Logical Credal Networks. NeurIPS 2022 - [c68]Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji:
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference. UAI 2022: 464-474 - [c67]Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart:
Linearizing contextual bandits with latent state dynamics. UAI 2022: 1477-1487 - [i26]Huaiqian You, Yue Yu, Marta D'Elia, Tian Gao, Stewart Silling:
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network. CoRR abs/2201.02217 (2022) - [i25]Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu:
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. CoRR abs/2206.12030 (2022) - [i24]Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu:
Learning and Retrieval from Prior Data for Skill-based Imitation Learning. CoRR abs/2210.11435 (2022) - [i23]Zijun Cui, Tian Gao, Kartik Talamadupula, Qiang Ji:
Knowledge-augmented Deep Learning and Its Applications: A Survey. CoRR abs/2212.00017 (2022) - 2021
- [j22]Jing Hou, Yan Yang, Tian Gao:
A Variational Bayes Based State-of-Charge Estimation for Lithium-Ion Batteries Without Sensing Current. IEEE Access 9: 84651-84665 (2021) - [j21]Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu:
Interactive Visualization of Hyperspectral Images Based on Neural Networks. IEEE Computer Graphics and Applications 41(5): 57-66 (2021) - [j20]Tian Gao, Shanliang Zhu, Jing Liu, Jun Shen, Jialie Shen, Shuguo Yang, Pengcheng Xiong:
A new context-aware approach for automatic Chinese poetry generation. Knowl. Based Syst. 232: 107409 (2021) - [j19]Siyuan Shen, Zi Wang, Ping Liu, Zhengqing Pan, Ruiqian Li, Tian Gao, Shiying Li, Jingyi Yu:
Non-line-of-Sight Imaging via Neural Transient Fields. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2257-2268 (2021) - [j18]Tian Gao, Feiyu Zhu, Puneet Paul, Jaspreet Sandhu, Henry Akrofi Doku, Jianxin Sun, Yu Pan, Paul Staswick, Harkamal Walia, Hongfeng Yu:
Novel 3D Imaging Systems for High-Throughput Phenotyping of Plants. Remote. Sens. 13(11): 2113 (2021) - [j17]Tian Gao, Anil Kumar Nalini Chandran, Puneet Paul, Harkamal Walia, Hongfeng Yu:
HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds. Sensors 21(24): 8184 (2021) - [j16]Lixia Xue, Meian Li, Liang Fan, Aixia Sun, Tian Gao:
Monocular Vision Ranging and Camera Focal Length Calibration. Sci. Program. 2021: 9979111:1-9979111:15 (2021) - [j15]Lan Wu, Tian Gao, Chenglin Wen, Kunpeng Zhang, Fanshi Kong:
A High-Dimensional Video Sequence Completion Method with Traffic Data Completion Generative Adversarial Networks. Wirel. Commun. Mob. Comput. 2021: 8898681:1-8898681:9 (2021) - [c66]Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian:
Ordinal Historical Dependence in Graphical Event Models with Tree Representations. AAAI 2021: 6759-6767 - [c65]Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji:
Type-augmented Relation Prediction in Knowledge Graphs. AAAI 2021: 7151-7159 - [c64]Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. AICAS 2021: 1-4 - [c63]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett:
Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation. BCB 2021: 46:1-46:10 - [c62]Tian Gao:
A Learning and Practicing System to Support Effective Poetry Generation Based on Neural Network. BIC 2021: 12-18 - [c61]Yang Zhang, Shaojia Feng, Xiaopin Yang, Wentao Xia, Tian Gao, Xiao Wang, Changxue Li:
Optimal control strategy of three level STATCOM in weak power grid. EITCE 2021: 1466-1473 - [c60]Yang Zhang, Tian Gao, Wentao Xia, Shaojia Feng, Xiao Wang:
Research on dual time scale model of DC/DC chopper converter. EITCE 2021: 1513-1519 - [c59]Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown:
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. EMNLP (1) 2021: 6443-6456 - [c58]Yada Zhu, Wenyu Chen, Yang Zhang, Tian Gao, Jianbo Li:
Probabilistic framework for modeling event shocks to financial time series. ICAIF 2021: 42:1-42:8 - [c57]Xin Fang, Haijia Du, Tian Gao, Liang Zou, Zhenhua Ling:
Voice spoofing detection with raw waveform based on Dual Path Res2net. ICCSE 2021: 160-165 - [c56]Junfeng Jing, Shenjuan Liu, Chao Liu, Tian Gao, Weichuan Zhang, Changming Sun:
A Novel Decision Mechanism for Image Edge Detection. ICIC (1) 2021: 274-287 - [c55]Rui Chen, Sanjeeb Dash, Tian Gao:
Integer Programming for Causal Structure Learning in the Presence of Latent Variables. ICML 2021: 1550-1560 - [c54]Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji:
DAGs with No Curl: An Efficient DAG Structure Learning Approach. ICML 2021: 12156-12166 - [c53]Xinli Zhang, Wentao He, Tian Gao:
Construction Company Competitiveness Research on Informationization Policies. IMMS 2021: 24-30 - [c52]Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett:
Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS 2021: 17311-17324 - [i22]Siyuan Shen, Zi Wang, Ping Liu, Zhengqing Pan, Ruiqian Li, Tian Gao, Shiying Li, Jingyi Yu:
Non-line-of-Sight Imaging via Neural Transient Fields. CoRR abs/2101.00373 (2021) - [i21]Rui Chen, Sanjeeb Dash, Tian Gao:
Integer Programming for Causal Structure Learning in the Presence of Latent Variables. CoRR abs/2102.03129 (2021) - [i20]Yuxuan Wang, Mao-Kui He, Shutong Niu, Lei Sun, Tian Gao, Xin Fang, Jia Pan, Jun Du, Chin-Hui Lee:
USTC-NELSLIP System Description for DIHARD-III Challenge. CoRR abs/2103.10661 (2021) - [i19]Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. CoRR abs/2104.05112 (2021) - [i18]Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji:
DAGs with No Curl: An Efficient DAG Structure Learning Approach. CoRR abs/2106.07197 (2021) - [i17]Junfeng Jing, Tian Gao, Weichuan Zhang, Yongsheng Gao, Changming Sun:
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review. CoRR abs/2106.07929 (2021) - [i16]Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu:
Logical Credal Networks. CoRR abs/2109.12240 (2021) - [i15]Zhengqing Pan, Ruiqian Li, Tian Gao, Zi Wang, Ping Liu, Siyuan Shen, Tao Wu, Jingyi Yu, Shiying Li:
Onsite Non-Line-of-Sight Imaging via Online Calibrations. CoRR abs/2112.14555 (2021) - 2020
- [j14]Tian Gao, Junfeng Jing, Chao Liu, Weichuan Zhang, Yongsheng Gao, Changming Sun:
Fast Corner Detection Using Approximate Form of Second-Order Gaussian Directional Derivative. IEEE Access 8: 194092-194104 (2020) - [j13]Xin Fang, Tian Gao, Liang Zou, Zhen-Hua Ling:
Bidirectional Attention for Text-Dependent Speaker Verification. Sensors 20(23): 6784 (2020) - [j12]Yanhui Tu, Jun Du, Tian Gao, Chin-Hui Lee:
A Multi-Target SNR-Progressive Learning Approach to Regression Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1608-1619 (2020) - [c51]Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian:
Event-Driven Continuous Time Bayesian Networks. AAAI 2020: 3259-3266 - [c50]Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. AAAI 2020: 3946-3953 - [c49]Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney:
Characterization of Overlap in Observational Studies. AISTATS 2020: 788-798 - [c48]Lu Zhang, Mo Yu, Tian Gao, Yue Yu:
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. EMNLP (Findings) 2020: 3948-3954 - [c47]Lei Sun, Jun Du, Xueyang Zhang, Tian Gao, Xin Fang, Chin-Hui Lee:
Progressive Multi-Target Network Based Speech Enhancement with Snr-Preselection for Robust Speaker Diarization. ICASSP 2020: 7099-7103 - [c46]Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian:
Cause-Effect Association between Event Pairs in Event Datasets. IJCAI 2020: 1202-1208 - [c45]Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian:
Order-Dependent Event Models for Agent Interactions. IJCAI 2020: 1977-1983 - [c44]Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao:
State Variable Effects in Graphical Event Models. IJCAI 2020: 4291-4297 - [c43]Dennis Wei, Tian Gao, Yue Yu:
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks. NeurIPS 2020 - [c42]Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue:
Hawkesian Graphical Event Models. PGM 2020: 569-580 - [c41]Tian Gao, Pengcheng Xiong, Jialie Shen:
A New Automatic Chinese Poetry Generation Model Based On Neural Network. SERVICES 2020: 41-44 - [i14]Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. CoRR abs/2002.09575 (2020) - [i13]Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao:
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. CoRR abs/2009.02590 (2020) - [i12]Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji:
Type-augmented Relation Prediction in Knowledge Graphs. CoRR abs/2009.07938 (2020) - [i11]Lu Zhang, Mo Yu, Tian Gao, Yue Yu:
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. CoRR abs/2010.01735 (2020) - [i10]Dennis Wei, Tian Gao, Yue Yu:
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks. CoRR abs/2010.09133 (2020)
2010 – 2019
- 2019
- [j11]Lei Sun, Jun Du, Tian Gao, Yi Fang, Feng Ma, Chin-Hui Lee:
A Speaker-Dependent Approach to Separation of Far-Field Multi-Talker Microphone Array Speech for Front-End Processing in the CHiME-5 Challenge. IEEE J. Sel. Top. Signal Process. 13(4): 827-840 (2019) - [j10]Jing Hou, Yan Yang, Tian Gao:
Variational Bayesian Based Adaptive Shifted Rayleigh Filter for Bearings-Only Tracking in Clutters. Sensors 19(7): 1512 (2019) - [c40]Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. AAAI 2019: 2835-2842 - [c39]Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao:
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. ACL (1) 2019: 4020-4026 - [c38]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP 2019: 91-97 - [c37]Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP 2019: 113-118 - [c36]Nan Zhou, Jun Du, Yanhui Tu, Tian Gao, Chin-Hui Lee:
A Speech Enhancement Neural Network Architecture with SNR-Progressive Multi-Target Learning for Robust Speech Recognition. APSIPA 2019: 873-877 - [c35]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 223-232 - [c34]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 542 - [c33]Yu Pan, Feiyu Zhu, Tian Gao, Hongfeng Yu:
Adaptive Deep Learning based Time-Varying Volume Compression. IEEE BigData 2019: 1187-1194 - [c32]Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu:
Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping. IEEE BigData 2019: 1274-1281 - [c31]