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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Liang Ding 0001
![[0000-0002-8351-5178]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8351-5178")
— Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China - Liang Ding 0002 — Jiangxi University of Finance and Economics, Nanchang, China
- Liang Ding 0003 — The Hong Kong University of Science and Technology, Hong Kong, China
- Liang Ding 0004 — Northeast Forestry University, Department of Mathematics, Harbin, China
- Liang Ding 0005 — Luliang University, Luliang, China
- Liang Ding 0006 — The University of Sydney, Sydney, Australia
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2020 – today
- 2023
[j17]Jiqing Jiang, Liang Ding, Yuhui Zhou, He Zhang:
Differential Settlement of Track Foundations Identification Based on GRU Neural Network. Remote. Sens. 15(9): 2378 (2023)- [c38]Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. AAAI 2023: 12728-12736 - [c37]Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo:
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) 2023: 2048-2061 - [c36]Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang:
TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) 2023: 3614-3633 - [c35]Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao:
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. ACL (1) 2023: 5892-5907 - [c34]Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao:
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) 2023: 10932-10940 - [c33]Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao:
PAD-Net: An Efficient Framework for Dynamic Networks. ACL (1) 2023: 14354-14366 - [c32]Aibin Yan, Zhen Zhou, Liang Ding, Jie Cui, Zhengfeng Huang, Xiaoqing Wen, Patrick Girard:
High Performance and DNU-Recovery Spintronic Retention Latch for Hybrid MTJ/CMOS Technology. DATE 2023: 1-2 - [c31]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu:
Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI 2023: 2196-2205 - [i13]Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao:
Random Smoothing Regularization in Kernel Gradient Descent Learning. CoRR abs/2305.03531 (2023) - [i12]Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling:
Free-Form Composition Networks for Egocentric Action Recognition. CoRR abs/2307.06527 (2023) - [i11]Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao:
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup. CoRR abs/2308.00522 (2023) - [i10]Qingyue Wang, Liang Ding, Yanan Cao, Zhiliang Tian, Shi Wang, Dacheng Tao, Li Guo:
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models. CoRR abs/2308.15022 (2023) - [i9]Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao:
MerA: Merging Pretrained Adapters For Few-Shot Learning. CoRR abs/2308.15982 (2023) - 2022
- [j16]Liang Ding, Yuelong Zhu, Pengcheng Zhang, Hai Dong, Hao Chen:
Multi-Class Prediction of Mineral Resources Based on Deep Learning. IEEE Access 10: 111463-111476 (2022) - [j15]Ting Peng, Leping Liu, Feiyang Liu, Liang Ding, Jing Liu, Han Zhou, Chong Liu:
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients. Frontiers Neuroinformatics 16 (2022) - [j14]Bichuan Xu, Lei Guo, Zhuohong Pan, Yuting Liu, Tao Tong, Tangbing Li, Liang Ding, Hua Wan, Jing Zhang:
Assessment and mitigation of DC bias risk in power grids at provincial boundaries. J. Comput. Methods Sci. Eng. 22(3): 857-869 (2022) - [j13]Aibin Yan, Zhengzheng Fan, Liang Ding, Jie Cui, Zhengfeng Huang, Qijun Wang, Hao Zheng, Patrick Girard, Xiaoqing Wen:
Cost-Effective and Highly Reliable Circuit-Components Design for Safety-Critical Applications. IEEE Trans. Aerosp. Electron. Syst. 58(1): 517-529 (2022) - [c30]Aibin Yan, Liang Ding, Zhen Zhou, Zhengfeng Huang, Jie Cui, Patrick Girard, Xiaoqing Wen:
A Radiation-Hardened Non-Volatile Magnetic Latch with High Reliability and Persistent Storage. ATS 2022: 1-6 - [c29]Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu:
Interpretable Proof Generation via Iterative Backward Reasoning. NAACL-HLT 2022: 2968-2981 - [i8]Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu:
Interpretable Proof Generation via Iterative Backward Reasoning. CoRR abs/2205.10714 (2022) - 2021
- [j12]Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Liming Cai:
Human MicroRNA Target Prediction via Multi-Hypotheses Learning. J. Comput. Biol. 28(2): 117-132 (2021) - [c28]Aibin Yan, Aoran Cao, Kuikui Qian, Liang Ding, Zhihui He, Zhengzheng Fan, Xiaoqing Wen:
A Reliable and Low-Cost Flip-Flop Hardened against Double-Node-Upsets. DSA 2021: 734-736 - [c27]Aibin Yan, Liang Ding, Chuanbo Shan, Haoran Cai, Xiaofeng Chen, Zhanjun Wei, Zhengfeng Huang, Xiaoqing Wen:
TPDICE and Sim Based 4-Node-Upset Completely Hardened Latch Design for Highly Robust Computing in Harsh Radiation. ISCAS 2021: 1-5 - [c26]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. IWSLT 2021: 206-214 - [i7]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. CoRR abs/2105.04475 (2021) - 2020
- [j11]Kohei Hagiwara, Liang Ding, Michael N. Edmonson, Stephen V. Rice, Scott Newman, John Easton, Juncheng Dai, Soheil Meshinchi, Rhonda E. Ries, Michael Rusch, Jinghui Zhang:
RNAIndel: discovering somatic coding indels from tumor RNA-Seq data. Bioinform. 36(5): 1382-1390 (2020) - [j10]Kohei Hagiwara, Liang Ding, Michael N. Edmonson, Stephen V. Rice, Scott Newman, John Easton, Juncheng Dai, Soheil Meshinchi, Rhonda E. Ries, Michael Rusch, Jinghui Zhang:
RNAIndel: discovering somatic coding indels from tumor RNA-Seq data. Bioinform. 36(14): 4231 (2020) - [c25]Di Wu, Liang Ding, Fan Lu, Jian Xie:
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling. EMNLP (1) 2020: 1932-1937 - [c24]Lei Zhou, Liang Ding, Koichi Takeda:
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns. WMT@EMNLP 2020: 1068-1074 - [i6]Liang Ding, Weimin Han:
α𝓁1-β𝓁2 sparsity regularization for nonlinear ill-posed problems. CoRR abs/2007.11377 (2020) - [i5]Liang Ding, Weimin Han:
A projected gradient method for α𝓁1-β𝓁2 sparsity regularization. CoRR abs/2007.15263 (2020) - [i4]Di Wu, Liang Ding, Fan Lu, Jian Xie:
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling. CoRR abs/2010.02693 (2020) - [i3]Lei Zhou, Liang Ding, Koichi Takeda:
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns. CoRR abs/2010.04989 (2020)
2010 – 2019
- 2019
- [j9]Jinlong Wei, Bin Liu, Rongrong Tian, Liang Ding:
Stochastic Entropy Solutions for Stochastic Scalar Balance Laws. Entropy 21(12): 1142 (2019) - [j8]Xuebing Zhang, Xuan Feng, Zhijia Zhang, Zhiliang Kang, Yuan Chai, Qin You, Liang Ding:
Dip Filter and Random Noise Suppression for GPR B-Scan Data Based on a Hybrid Method in f - x Domain. Remote. Sens. 11(18): 2180 (2019) - [c23]Liang Zhang, Liang Ding:
A Calibration Method of the Probe for the Dielectric Measurements in Vivo of Anisotropic Tissues. CISP-BMEI 2019: 1-5 - [c22]Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Liming Cai:
A Multi-hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction. ICCABS 2019: 102-120 - 2018
- [j7]Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Cory Momany, Khaled Rasheed, Liming Cai:
Accurate prediction of human miRNA targets via graph modeling of the miRNA-target duplex. J. Bioinform. Comput. Biol. 16(4): 1850013:1-1850013:18 (2018) - [j6]Liang Ding, Guan Wang:
A Stable Multi-parameter Thresholding Method for Ill-conditioned Sparse Signal Restoration and Optimal Parameter Choices. J. Inf. Hiding Multim. Signal Process. 9(6): 1350-1364 (2018) - [c21]Liang Ding, Quanbo Ge:
Electricity Market Clearing Price Forecast Based on Adaptive Kalman Filter. ICCAIS 2018: 417-421 - [i2]Liang Ding, Di Chang, Russell L. Malmberg, Aaron Martínez, David Robinson, Matthew Wicker, Hongfei Yan, Liming Cai:
Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling. CoRR abs/1801.06900 (2018) - 2017
- [j5]Liang Ding, Lei Xu:
Dual Splitting Method For Sparsity Signal Restoration With Impulsive Noise. J. Inf. Hiding Multim. Signal Process. 8(4): 945-956 (2017) - [c20]Liang Zhang, Yan Pang, Liang Ding, Gaosheng Li:
The cole-cole model of porcine activity tissues in radio frequency. CISP-BMEI 2017: 1-5 - [c19]Liang Ding, Yanqing He, Lei Zhou, Qingmin Liu:
Combining Domain Knowledge and Deep Learning Makes NMT More Adaptive. CWMT 2017: 90-101 - 2016
- [b1]Liang Ding:
Maximum spanning k-trees. University of Georgia, Athens, GA, USA, 2016 - [c18]Yanqing He, Liang Ding, Ying Li:
Research on Domain Adaptation for SMT Based on Specific Domain Knowledge. CWMT 2016: 43-60 - [c17]Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Cory Momany, Khaled Rasheed, Liming Cai:
Accurate prediction of human miRNA targets via graph modeling of miRNA-target duplex. ICCABS 2016: 1 - 2015
- [j4]Liang Ding, Xingran Xue, Sal LaMarca, Mohammad Mohebbi, Abdul Samad, Russell L. Malmberg, Liming Cai:
Accurate prediction of RNA nucleotide interactions with backbone k-tree model. Bioinform. 31(16): 2660-2667 (2015) - 2014
- [c16]Liang Ding, Xingran Xue, Sal LaMarca, Mohammad Mohebbi, Abdul Samad, Russell L. Malmberg, Liming Cai:
Ab initio Prediction of RNA Nucleotide Interactions with Backbone k-Tree Model. CMSR@ECCB 2014: 25-42 - [c15]Liang Ding, Abdul Samad, Xingran Xue, Xiuzhen Huang, Russell L. Malmberg, Liming Cai:
Stochastic k-Tree Grammar and Its Application in Biomolecular Structure Modeling. LATA 2014: 308-322 - 2013
- [j3]Liejun Wang, Taiyi Zhang, Zhenhong Jia, Liang Ding:
Face detection algorithm based on hybrid Monte Carlo method and Bayesian support vector machine. Concurr. Comput. Pract. Exp. 25(9): 1064-1072 (2013) - [c14]Chao Jin, Liang Ding, David Abramson:
Extending the Eclipse Parallel Tools Platform Debugger with Scalable Parallel Debugging Library. ICCS 2013: 1774-1783 - [c13]Liang Ding, Joseph Robertson, Russell L. Malmberg, Liming Cai:
Protein Closed Loop Prediction from Contact Probabilities. ISBRA 2013: 199-210 - [c12]Ning Duan, Tsung-Yang Liow, Andy Eu-Jin Lim, Liang Ding, Guo-Qiang Lo:
High speed waveguide-integrated Ge/Si avalanche photodetector. OFC/NFOEC 2013: 1-3 - [i1]Liang Ding, Abdul Samad, Xingran Xue, Xiuzhen Huang, Liming Cai:
Polynomial kernels collapse the W-hierarchy. CoRR abs/1308.3613 (2013) - 2012
- [c11]Ziyi Zhang, Peiguo Liu, Liang Ding, Liang Zhang:
A new type of excitation coil for measurement of liver iron overload by magnetic induction method. BMEI 2012: 679-683 - 2011
- [j2]Xue Wang, Liang Ding, Sheng Wang:
Trust Evaluation Sensing for Wireless Sensor Networks. IEEE Trans. Instrum. Meas. 60(6): 2088-2095 (2011) - [c10]Liang Ding, Bin Fu, Binhai Zhu:
Minimum Interval Cover and Its Application to Genome Sequencing. COCOA 2011: 287-298 - [c9]Wenming Wang, Weiwei Song, Xiuhua Su, Shukun Cao, Liang Ding, Xinhua Wang:
Study on vibration and durability testing for motorcycle frame. EMEIT 2011: 3075-3078 - 2010
- [j1]Xue Wang, Liang Ding, Daowei Bi:
Reputation-Enabled Self-Modification for Target Sensing in Wireless Sensor Networks. IEEE Trans. Instrum. Meas. 59(1): 171-179 (2010) - [c8]Liang Ding, Bin Fu, Yunhui Fu:
Improved Sublinear Time Algorithm for Width-Bounded Separators. FAW 2010: 101-112 - [c7]Liang Ding, Bin Fu, Yunhui Fu, Zaixin Lu, Zhiyu Zhao:
O((logn)2) Time Online Approximation Schemes for Bin Packing and Subset Sum Problems. FAW 2010: 250-261
2000 – 2009
- 2009
- [c6]Liang Ding, Bo Han:
A Multiresolution Method for Distributed Conductivity Estimation of Maxwell Equation. CSO (1) 2009: 208-211 - [c5]Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr.:
Migration motif: a spatial - temporal pattern mining approach for financial markets. KDD 2009: 1135-1144 - 2008
- [c4]Xue Wang, Daowei Bi, Liang Ding, Sheng Wang:
Bootstrap Gaussian Process classifiers for rotating machinery anomaly detection. IJCNN 2008: 1129-1134 - [c3]Sheng Wang, Xue Wang, Daowei Bi, Liang Ding, Zheng You:
Collaborative statistical learning with rough feature reduction for visual target classification. IJCNN 2008: 1151-1156 - 2007
- [c2]Changjun Hu, Jilin Zhang, Jue Wang, Jianjiang Li, Liang Ding:
A New Parallel Gauss-Seidel Method by Iteration Space Alternate Tiling. PACT 2007: 410 - [c1]Xue Wang, Sheng Wang, Daowei Bi, Liang Ding, Junjie Ma:
Collaborative Peer-to-Peer Training and Target Classification in Wireless Sensor Networks. FGCN (1) 2007: 208-213
Coauthor Index
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last updated on 2023-09-27 22:47 CEST by the dblp team
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