Liang Ding

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 178

Top Venues

CoRR

IEEE Access

ICARM

IEEE Trans. Syst. Man Cybern. Syst.

University of Georgia, Athens, GA, USA (PHD)

Education History

University of Georgia, Athens, GA, USA

PHD

Publications

Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao
Intention Analysis Prompting Makes Large Language Models A Good Jailbreak Defender. CoRR (2024)
Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR (2024)
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. CoRR (2024)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. CoRR (2024)
Liang Ding, Bainian Chen, Yuelong Zhu, Hai Dong, Pengcheng Zhang
Mineral prediction based on prototype learning. Comput. Geosci. 184 (2024)
Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao
Mitigating Reward Hacking via Information-Theoretic Reward Modeling. CoRR (2024)
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)
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)
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)
Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
Free-Form Composition Networks for Egocentric Action Recognition. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
MerA: Merging Pretrained Adapters For Few-Shot Learning. CoRR (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Self-Evolution Learning for Discriminative Language Model Pretraining. CoRR (2023)
Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao
Random Smoothing Regularization in Kernel Gradient Descent Learning. CoRR (2023)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR (2023)
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. CoRR (2023)
Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann
Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. ECAI (2023)
Jiqing Jiang, Liang Ding, Yuhui Zhou, He Zhang
Differential Settlement of Track Foundations Identification Based on GRU Neural Network. Remote. Sens. 15 (9) (2023)
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) (2023)
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 (2023)
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. CoRR (2023)
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) (2023)
Liang Ding, Longyue Wang, Siyou Liu
Recurrent graph encoder for syntax-aware neural machine translation. Int. J. Mach. Learn. Cybern. 14 (4) (2023)
Dong Zhao, Guojia Wan, Yibing Zhan, Zengmao Wang, Liang Ding, Zhigao Zheng, Bo Du
KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. Knowl. Based Syst. 278 (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR (2023)
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup. CoRR (2023)
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR (2023)
Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang
Improving Simultaneous Machine Translation with Monolingual Data. AAAI (2023)
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)
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) (2023)
Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. CoRR (2023)
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)
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
PAD-Net: An Efficient Framework for Dynamic Networks. ACL (1) (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) (2023)
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR (2023)
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)
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)
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) (2022)
Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu
Interpretable Proof Generation via Iterative Backward Reasoning. CoRR (2022)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis. CoRR (2022)
Shu Li, Liang Ding, Haibo Gao, Yan-Jun Liu, Lan Huang, Zongquan Deng
Adaptive Fuzzy Finite-Time Tracking Control for Nonstrict Full States Constrained Nonlinear System With Coupled Dead-Zone Input. IEEE Trans. Cybern. 52 (2) (2022)
Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu
Interpretable Proof Generation via Iterative Backward Reasoning. NAACL-HLT (2022)
Liang Ding, Ruyi Zhou, Ye Yuan, Huaiguang Yang, J. Li, Tianyi Yu, C. Liu, J. Wang, Shu Li, Haibo Gao, Z. Deng, N. Li, Z. Wang, Z. Gong, Guangjun Liu, J. Xie, S. Wang, Z. Rong, D. Deng, XiaoXue Wang, S. Han, W. Wan, Lutz Richter, Lan Huang, S. Gou, Z. Liu, Haitao Yu, Y. Jia, B. Chen, Z. Dang, Kuan Zhang, L. Li, X. He, S. Liu, Kaichang Di
A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover. Sci. Robotics 7 (62) (2022)
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) (2022)
Hailong Li, Liang Ding
Generalized conditional gradient method for elastic-net regularization. J. Comput. Appl. Math. 403 (2022)
Liang Ding, Keqin Peng, Dacheng Tao
Improving Neural Machine Translation by Denoising Training. CoRR (2022)
Liang Ding, Yuelong Zhu, Pengcheng Zhang, Hai Dong, Hao Chen
Multi-Class Prediction of Mineral Resources Based on Deep Learning. IEEE Access 10 (2022)
Liang Ding, Yi Luo, Yan Lin, Yirong Huang
Optimal Setting for Hurst Index Estimation and Its Application in Chinese Stock Market. IEEE Access 9 (2021)
Ye Yuan, Huaiguang Yang, Chaojie Yang, Liang Ding, Haibo Gao, Nan Li
Multi-Slip Conditions Acquisition of Planetary Rovers with Application to Terrain Parameter Identification. M2VIP (2021)
Liang Ding, Guanyu Wang, Haibo Gao, Guangjun Liu, Huaiguang Yang, Zongquan Deng
Footstep Planning for Hexapod Robots Based on 3D Quasi-static Equilibrium Support Region. J. Intell. Robotic Syst. 103 (2) (2021)
Di Wu, Liang Ding, Shuo Yang, Dacheng Tao
SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. CoRR (2021)
Yigao Ning, Ming Yue, Liang Ding, Haibo Gao
Time-Optimal Point Stabilization Control for WIP Vehicles Using Quasi-Convex Optimization and B-Spline Adaptive Interpolation Techniques. IEEE Trans. Syst. Man Cybern. Syst. 51 (5) (2021)
Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang
Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. ICASSP (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. CoRR (2021)
Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis. CoRR (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Progressive Multi-Granularity Training for Non-Autoregressive Translation. ACL/IJCNLP (Findings) (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. ACL/IJCNLP (1) (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Progressive Multi-Granularity Training for Non-Autoregressive Translation. CoRR (2021)
Di Wu, Yiren Chen, Liang Ding, Dacheng Tao
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding. CoRR (2021)
Weihua Li, Junlong Guo, Liang Ding, Jianfeng Wang, Haibo Gao
Slippage-Dependent Teleoperation of Wheeled Mobile Robots on Soft Terrains. IEEE Robotics Autom. Lett. 6 (3) (2021)
Liang Ding, Di Wu, Dacheng Tao
The USYD-JD Speech Translation System for IWSLT 2021. CoRR (2021)
Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda
Self-Guided Curriculum Learning for Neural Machine Translation. IWSLT (2021)
Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda
Self-Guided Curriculum Learning for Neural Machine Translation. CoRR (2021)
Liang Ding, Rui Tuo, Xiaowei Zhang
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids. CoRR (2021)
Liang Ding, Rui Tuo, Shahin Shahrampour
A Sparse Expansion For Deep Gaussian Processes. CoRR (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. CoRR (2021)
Liang Ding, Di Wu, Dacheng Tao
Improving Neural Machine Translation by Bidirectional Training. EMNLP (1) (2021)
Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation. CoRR (2021)
Junlong Guo, Weihua Li, Liang Ding, Haibo Gao, Tianyou Guo, Bo Huang, Zongquan Deng
Linear Expressions of Drawbar Pull and Driving Torque for Grouser-Wheeled Planetary Rovers Without Terrain Mechanical Parameters. IEEE Robotics Autom. Lett. 6 (4) (2021)
Liang Ding, Shu Li, Haibo Gao, Yan-Jun Liu, Lan Huang, Zongquan Deng
Adaptive Neural Network-Based Finite-Time Online Optimal Tracking Control of the Nonlinear System With Dead Zone. IEEE Trans. Cybern. 51 (1) (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Copying Behaviors of Pre-Training for Neural Machine Translation. CoRR (2021)
Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Liming Cai
Human MicroRNA Target Prediction via Multi-Hypotheses Learning. J. Comput. Biol. 28 (2) (2021)
Shu Li, Xin An, Liang Ding, Qingfan Wang, Haibo Gao, Yingxue Hou, Zongquan Deng
Adaptive Neural Network-Based Finite-Time Tracking Control for Nonstrict Nonaffined MIMO Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (8) (2021)
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)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. EMNLP (Findings) (2021)
Hongjun Xing, Ali Torabi, Liang Ding, Haibo Gao, Weihua Li, Vivian K. Mushahwar, Mahdi Tavakoli
Human-Robot Collaboration for Heavy Object Manipulation: Kinesthetic Teaching of the Role of Wheeled Mobile Manipulator. IROS (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. ICLR (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Copying Behaviors of Pre-Training for Neural Machine Translation. ACL/IJCNLP (Findings) (2021)
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)
Liang Ding, Di Wu, Dacheng Tao
Improving Neural Machine Translation by Bidirectional Training. CoRR (2021)
Liang Ding, Dacheng Tao
The USYD-JD Speech Translation System for IWSLT2021. IWSLT (2021)
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) (2020)
Liang Ding, Shu Li, Haibo Gao, Chao Chen, Zongquan Deng
Adaptive Partial Reinforcement Learning Neural Network-Based Tracking Control for Wheeled Mobile Robotic Systems. IEEE Trans. Syst. Man Cybern. Syst. 50 (7) (2020)
Di Wu, Liang Ding, Fan Lu, Jian Xie
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling. CoRR (2020)
Huanan Qi, Bo You, Liang Ding, Wenhao Lian, Ye Yuan, Jiayu Li, Haibo Gao
Control Strategy for the Pseudo-Driven Wheels of Multi-Wheeled Mobile Robots Based on Dissociation by Degrees-of-Freedom. IEEE Access 8 (2020)
Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu
Context-Aware Cross-Attention for Non-Autoregressive Translation. CoRR (2020)
Liang Ding, Lan Huang, Shu Li, Haibo Gao, Huichao Deng, Yuankai Li, Guangjun Liu
Definition and Application of Variable Resistance Coefficient for Wheeled Mobile Robots on Deformable Terrain. IEEE Trans. Robotics 36 (3) (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs. CoRR (2020)
Hongjun Xing, Ali Torabi, Liang Ding, Haibo Gao, Zongquan Deng, Mahdi Tavakoli
Enhancement of Force Exertion Capability of a Mobile Manipulator by Kinematic Reconfiguration. IEEE Robotics Autom. Lett. 5 (4) (2020)
Weihua Li, Liang Ding, Haibo Gao, Mahdi Tavakoli
Haptic Tele-Driving of Wheeled Mobile Robots Under Nonideal Wheel Rolling, Kinematic Control and Communication Time Delay. IEEE Trans. Syst. Man Cybern. Syst. 50 (1) (2020)
Shu Li, Qingfan Wang, Liang Ding, Xin An, Haibo Gao, Yingxue Hou, Zongquan Deng
Adaptive NN-based finite-time tracking control for wheeled mobile robots with time-varying full state constraints. Neurocomputing 403 (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. ICML (2020)
Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu
Context-Aware Cross-Attention for Non-Autoregressive Translation. COLING (2020)
Di Wu, Liang Ding, Fan Lu, Jian Xie
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling. EMNLP (1) (2020)
Guanyu Wang, Liang Ding, Haibo Gao, Zongquan Deng, Zhen Liu, Haitao Yu
Minimizing the Energy Consumption for a Hexapod Robot Based on Optimal Force Distribution. IEEE Access 8 (2020)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. CoRR (2020)
Lei Zhou, Liang Ding, Koichi Takeda
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns. CoRR (2020)
Liang Ding, Weimin Han
sparsity regularization for nonlinear ill-posed problems. CoRR (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. CoRR (2020)
Shu Li, Liang Ding, Haibo Gao, Yan-Jun Liu, Nan Li, Zongquan Deng
Reinforcement Learning Neural Network-Based Adaptive Control for State and Input Time-Delayed Wheeled Mobile Robots. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang Ding