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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://dblp1.uni-trier.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 — JD Explore Academy, JD.com Inc., NLP Group (and 1 more)
- Liang Ding 0007 — St. Jude Children's Research Hospital, Memphis, TN, USA (and 1 more)
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2020 – today
- 2024
[j19]Liang Ding, Bainian Chen, Yuelong Zhu, Hai Dong, Pengcheng Zhang:
Mineral prediction based on prototype learning. Comput. Geosci. 184: 105540 (2024)- [j18]Liang Ding, Bainian Chen, Yuelong Zhu, Hai Dong, Guiyang Chan, Pengcheng Zhang:
Geo-Hgan: Unsupervised anomaly detection in geochemical data via latent space learning. Comput. Geosci. 192: 105703 (2024) - [j17]Bo You, Xiaolei Chen, Jiayu Li, Liang Ding, Zheng Dong:
Human-robot collaborative decision method of hexapod robot based on prior knowledge and negotiation strategy. Knowl. Based Syst. 304: 112551 (2024) - [j16]Chih-Li Sung, Wenjia Wang, Liang Ding, Xingjian Wang:
Mesh-Clustered Gaussian Process Emulator for Partial Differential Equation Boundary Value Problems. Technometrics 66(3): 406-421 (2024) - [c29]Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann:
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. ACL (Findings) 2024: 15840-15853 - [c28]Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang:
Graph-based Student Knowledge Profile for Online Intelligent Education. SDM 2024: 379-387 - [i9]Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann:
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. CoRR abs/2403.18715 (2024) - [i8]Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang, Shijin Wang, Zhenya Huang:
End-to-End Graph Flattening Method for Large Language Models. CoRR abs/2409.14880 (2024) - 2023
- [j15]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) - [j14]Liang Ding, Yi-Jie Sun, Wen-Zhi Zhang, Gang Bi, Hong-Zhong Xu:
Stress Monitoring of Segment Structure during the Construction of the Small-Diameter Shield Tunnel. Sensors 23(19): 8023 (2023) - [c27]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 - [c26]Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann:
Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. ECAI 2023: 2552-2559 - [i7]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) - 2022
- [j13]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) - [j12]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) - [j11]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) - [j10]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) - [c25]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 - [c24]Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu:
Interpretable Proof Generation via Iterative Backward Reasoning. NAACL-HLT 2022: 2968-2981 - [i6]Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu:
Interpretable Proof Generation via Iterative Backward Reasoning. CoRR abs/2205.10714 (2022) - 2021
- [c23]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 - [c22]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 - [c21]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. IWSLT 2021: 206-214 - [i5]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
- [j9]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) - [j8]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) - [c20]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 - [c19]Lei Zhou, Liang Ding, Koichi Takeda:
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns. WMT@EMNLP 2020: 1068-1074 - [i4]Liang Ding, Weimin Han:
α𝓁1-β𝓁2 sparsity regularization for nonlinear ill-posed problems. CoRR abs/2007.11377 (2020) - [i3]Liang Ding, Weimin Han:
A projected gradient method for α𝓁1-β𝓁2 sparsity regularization. CoRR abs/2007.15263 (2020) - [i2]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) - [i1]Lei Zhou, Liang Ding, Koichi Takeda:
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns. CoRR abs/2010.04989 (2020)
2010 – 2019
- 2019
- [j7]Jinlong Wei, Bin Liu, Rongrong Tian, Liang Ding:
Stochastic Entropy Solutions for Stochastic Scalar Balance Laws. Entropy 21(12): 1142 (2019) - [j6]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) - [c18]Liang Zhang, Liang Ding:
A Calibration Method of the Probe for the Dielectric Measurements in Vivo of Anisotropic Tissues. CISP-BMEI 2019: 1-5 - 2018
- [j5]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) - [c17]Liang Ding, Quanbo Ge:
Electricity Market Clearing Price Forecast Based on Adaptive Kalman Filter. ICCAIS 2018: 417-421 - 2017
- [j4]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) - [c16]Liang Zhang, Yan Pang, Liang Ding, Gaosheng Li:
The cole-cole model of porcine activity tissues in radio frequency. CISP-BMEI 2017: 1-5 - [c15]Liang Ding, Yanqing He, Lei Zhou, Qingmin Liu:
Combining Domain Knowledge and Deep Learning Makes NMT More Adaptive. CWMT 2017: 90-101 - 2016
- [c14]Yanqing He, Liang Ding, Ying Li:
Research on Domain Adaptation for SMT Based on Specific Domain Knowledge. CWMT 2016: 43-60 - 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) - [c13]Chao Jin, Liang Ding, David Abramson:
Extending the Eclipse Parallel Tools Platform Debugger with Scalable Parallel Debugging Library. ICCS 2013: 1774-1783 - [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 - 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 2024-11-08 21:30 CET by the dblp team
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