| 2026 | AAAI | Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model. | Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng, Leszek Rutkowski, Qi Zhang, Liang Ding, Dacheng Tao |
| 2026 | ACL | Learning to Control Summaries with Score Ranking. | Hongye Liu, Liang Ding, Ricardo Henao |
| 2026 | ACL | The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check. | Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2026 | ACL | REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation. | Fulin Shi, Wenyi Xiao, Bin Chen, Liang Ding, Leilei Gan |
| 2026 | ACL | Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling. | Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding |
| 2026 | ACL | Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2026 | WWW | Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs. | Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding, Dongsheng Li |
| 2025 | AAAI | Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. | Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao |
| 2025 | AAAI | Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. | Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao |
| 2025 | ACL | CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models. | Xintong Wang, Jingheng Pan, Liang Ding, Longyue Wang, Longqin Jiang, Xingshan Li, Chris Biemann |
| 2025 | ACL | Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. | Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao |
| 2025 | ACL | AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. | Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang |
| 2025 | ACL | VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search. | Yikun Wang, Siyin Wang, Qinyuan Cheng, Zhaoye Fei, Liang Ding, Qipeng Guo, Dacheng Tao, Xipeng Qiu |
| 2025 | ACL | Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2025 | ACL | KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. | Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du, Dacheng Tao |
| 2025 | COLING | MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. | Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2025 | COLING | Self-Evolution Knowledge Distillation for LLM-based Machine Translation. | Yuncheng Song, Liang Ding, Changtong Zan, Shujian Huang |
| 2025 | COLING | Intention Analysis Makes LLMs A Good Jailbreak Defender. | Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao |
| 2025 | EMNLP | Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. | Qingyu Lu, Liang Ding, Siyi Cao, Xuebo Liu, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2025 | EMNLP | AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration. | Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding, Miao Zhang, Min Zhang |
| 2025 | EMNLP | Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites. | Xintong Wang, Yixiao Liu, Jingheng Pan, Liang Ding, Longyue Wang, Chris Biemann |
| 2025 | EMNLP | Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2025 | EMNLP | AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders. | Yuqi Zhang, Yuchun Miao, Zuchao Li, Liang Ding |
| 2025 | EMNLP | DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. | Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding |
| 2025 | ICML | The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking. | Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao |
| 2025 | ICML | Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG. | Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao |
| 2025 | IROS | VLM-Empowered Multi-Mode System for Efficient and Safe Planetary Navigation. | Sinuo Cheng, Ruyi Zhou, Wenhao Feng, Huaiguang Yang, Haibo Gao, Zongquan Deng, Liang Ding |
| 2024 | AAAI | Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. | Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao |
| 2024 | ACL | DB-LLM: Accurate Dual-Binarization for Efficient LLMs. | Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao |
| 2024 | ACL | Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. | Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao |
| 2024 | ACL | POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. | Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li |
| 2024 | ACL | Revisiting Demonstration Selection Strategies in In-Context Learning. | Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2024 | ACL | OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. | Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao |
| 2024 | ACL | Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. | Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann |
| 2024 | ACL | Uncertainty Aware Learning for Language Model Alignment. | Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao |
| 2024 | ACL | Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. | Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang |
| 2024 | ACL | Revisiting Knowledge Distillation for Autoregressive Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | ACL | ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. | Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | COLING | 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. | Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang |
| 2024 | COLING | Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. | Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu |
| 2024 | CVPR | Sheared Backpropagation for Fine-Tuning Foundation Models. | Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao |
| 2024 | ECAI | Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. | Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao |
| 2024 | EMNLP | Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. | Yuxuan Guo, Zhiliang Tian, Yiping Song, Tianlun Liu, Liang Ding, Dongsheng Li |
| 2024 | EMNLP | Revisiting Catastrophic Forgetting in Large Language Model Tuning. | Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao |
| 2024 | EMNLP | Self-Powered LLM Modality Expansion for Large Speech-Text Models. | Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang |
| 2024 | EMNLP | Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. | Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | SDM | Graph-based Student Knowledge Profile for Online Intelligent Education. | Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang |
| 2023 | AAAI | Improving Simultaneous Machine Translation with Monolingual Data. | Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | ACL | CASN: Class-Aware Score Network for Textual Adversarial Detection. | Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao |
| 2023 | ACL | TransGEC: Improving Grammatical Error Correction with Translationese. | Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang |
| 2023 | ACL | PAD-Net: An Efficient Framework for Dynamic Networks. | Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao |
| 2023 | ACL | Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. | Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao |
| 2023 | ACL | Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. | Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao |
| 2023 | ACL | Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. | Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao |
| 2023 | ACL | Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. | Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo |
| 2023 | ACL | Self-Evolution Learning for Discriminative Language Model Pretraining. | Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | ACL | Revisiting Token Dropping Strategy in Efficient BERT Pretraining. | Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao |
| 2023 | DATE | High Performance and DNU-Recovery Spintronic Retention Latch for Hybrid MTJ/CMOS Technology. | Aibin Yan, Zhen Zhou, Liang Ding, Jie Cui, Zhengfeng Huang, Xiaoqing Wen, Patrick Girard |
| 2023 | ECAI | Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. | Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann |
| 2023 | EMNLP | Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. | Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao |
| 2023 | EMNLP | Towards Making the Most of ChatGPT for Machine Translation. | Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2023 | EMNLP | PromptST: Abstract Prompt Learning for End-to-End Speech Translation. | Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | EMNLP | Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. | Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao |
| 2023 | EMNLP | Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. | Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | ICLR | FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. | Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao |
| 2023 | ICML | Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. | Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao |
| 2023 | IJCAI | Gapformer: Graph Transformer with Graph Pooling for Node Classification. | Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2023 | IJCNN | Prompt-Learning for Cross-Lingual Relation Extraction. | Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu |
| 2023 | WACV | SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution. | Shwai He, Chenbo Jiang, Daize Dong, Liang Ding |
| 2022 | ACL | Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu |
| 2022 | COLING | A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. | Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao |
| 2022 | COLING | On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. | Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao |
| 2022 | CVPR | Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. | Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan |
| 2022 | EMNLP | SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. | Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao |
| 2022 | EMNLP | Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao |
| 2022 | NAACL | Interpretable Proof Generation via Iterative Backward Reasoning. | Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu |
| 2022 | SIGIR | Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. | Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao |
| 2021 | ACL | Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ACL | Progressive Multi-Granularity Training for Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ACL | On the Copying Behaviors of Pre-Training for Neural Machine Translation. | Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu |
| 2021 | EMNLP | On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. | Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu |
| 2021 | EMNLP | Improving Neural Machine Translation by Bidirectional Training. | Liang Ding, Di Wu, Dacheng Tao |
| 2021 | ICASSP | Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. | Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang |
| 2021 | ICLR | Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. | Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu |
| 2021 | ICLR | Understanding and Improving Lexical Choice in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | IROS | Human-Robot Collaboration for Heavy Object Manipulation: Kinesthetic Teaching of the Role of Wheeled Mobile Manipulator. | Hongjun Xing, Ali Torabi, Liang Ding, Haibo Gao, Weihua Li, Vivian K. Mushahwar, Mahdi Tavakoli |
| 2021 | ISCAS | TPDICE and Sim Based 4-Node-Upset Completely Hardened Latch Design for Highly Robust Computing in Harsh Radiation. | Aibin Yan, Liang Ding, Chuanbo Shan, Haoran Cai, Xiaofeng Chen, Zhanjun Wei, Zhengfeng Huang, Xiaoqing Wen |
| 2020 | ACL | Self-Attention with Cross-Lingual Position Representation. | Liang Ding, Longyue Wang, Dacheng Tao |
| 2020 | COLING | Context-Aware Cross-Attention for Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu |
| 2020 | EMNLP | SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling. | Di Wu, Liang Ding, Fan Lu, Jian Xie |
| 2020 | ICML | Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. | Liang Ding, Rui Tuo, Shahin Shahrampour |
| 2019 | IROS | Closed-Form Equations and Experimental Verification for Soft Robot Arm Based on Cosserat Theory | Lizhou Niu, Liang Ding, Haibo Gao, Yang Su, Zongquan Deng, Zhen Liu |
| 2019 | IROS | Mapping for Planetary Rovers from Terramechanics Perspective | Ruyi Zhou, Liang Ding, Haibo Gao, Wenhao Feng, Zongquan Deng, Nan Li |
| 2018 | ICRA | Dynamic Simulation of Planetary Rovers with Terrain Property Mapping. | Huaiguang Yang, Liang Ding, Haibo Gao, Lan Huang, Junlong Guo, Chao Chen, Zongquan Deng |
| 2016 | HSI | Interact with robot: An efficient approach based on finite state machine and mouse gesture recognition. | Jiajun Li, Xu Xu, Jianguo Tao, Liang Ding, Haibo Gao, Zongquan Deng |
| 2016 | WSC | Sequential sampling for Bayesian robust ranking and selection. | Xiaowei Zhang, Liang Ding |
| 2014 | ECCB | Ab initio Prediction of RNA Nucleotide Interactions with Backbone | Liang Ding, Xingran Xue, Sal LaMarca, Mohammad Mohebbi, Abdul Samad, Russell L. Malmberg, Liming Cai |
| 2014 | LATA | Stochastic k-Tree Grammar and Its Application in Biomolecular Structure Modeling. | Liang Ding, Abdul Samad, Xingran Xue, Xiuzhen Huang, Russell L. Malmberg, Liming Cai |
| 2013 | ICCS | Extending the Eclipse Parallel Tools Platform Debugger with Scalable Parallel Debugging Library. | Chao Jin, Liang Ding, David Abramson |
| 2013 | IROS | Longitudinal slip versus skid of planetary rovers' wheels traversing on deformable slopes. | Liang Ding, Haibo Gao, Zongquan Deng, Junlong Guo, Guangjun Liu |
| 2011 | COCOA | Minimum Interval Cover and Its Application to Genome Sequencing. | Liang Ding, Bin Fu, Binhai Zhu |
| 2010 | FAW | Improved Sublinear Time Algorithm for Width-Bounded Separators. | Liang Ding, Bin Fu, Yunhui Fu |
| 2010 | FAW | Untitled record | Liang Ding, Bin Fu, Yunhui Fu, Zaixin Lu, Zhiyu Zhao |
| 2010 | ICRA | Terramechanics-based high-fidelity dynamics simulation for wheeled mobile robot on deformable rough terrain. | Liang Ding, Keiji Nagatani, Keisuke Sato, Andres E. Mora Vargas, Kazuya Yoshida, Haibo Gao, Zongquan Deng |
| 2010 | IROS | Slip-ratio-coordinated control of planetary exploration robots traversing over deformable rough terrain. | Liang Ding, Haibo Gao, Zongquan Deng, Zhen Liu |
| 2009 | IROS | Slip ratio for lugged wheel of planetary rover in deformable soil: definition and estimation. | Liang Ding, Haibo Gao, Zongquan Deng, Kazuya Yoshida, Keiji Nagatani |
| 2009 | IROS | Parameter identification for planetary soil based on a decoupled analytical wheel-soil interaction terramechanics model. | Liang Ding, Kazuya Yoshida, Keiji Nagatani, Haibo Gao, Zongquan Deng |
| 2009 | KDD | Migration motif: a spatial - temporal pattern mining approach for financial markets. | Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr. |
| 2008 | IJCNN | Bootstrap Gaussian Process classifiers for rotating machinery anomaly detection. | Xue Wang, Daowei Bi, Liang Ding, Sheng Wang |
| 2008 | IJCNN | Collaborative statistical learning with rough feature reduction for visual target classification. | Sheng Wang, Xue Wang, Daowei Bi, Liang Ding, Zheng You |