| 2026 | AAAI | Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization. | Yuhao He, Jinyu Tian, Xianwei Zheng, Li Dong, Yuanman Li, Jiantao Zhou |
| 2026 | AAAI | Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning. | Bowen Zhang, Jun Ma, Fuqiang Niu, Li Dong, Jinzhou Cao, Genan Dai |
| 2026 | ACL | Rectified Sparse Attention for Efficient Long-Sequence Generation. | Yutao Sun, Tianzhu Ye, Li Dong, Yuqing Xia, Jian Chen, Yizhao Gao, Shijie Cao, Jianyong Wang, Furu Wei |
| 2026 | ACL | Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts. | Di Zhang, Xun Wu, Shaohan Huang, Lingjie Jiang, Yaru Hao, Li Dong, Zewen Chi, Zhifang Sui, Furu Wei |
| 2025 | AISTATS | New User Event Prediction Through the Lens of Causal Inference. | Henry Shaowu Yuchi, Shixiang Zhu, Li Dong, Yigit M. Arisoy, Matthew C. Spencer |
| 2025 | ICCV | Learning Robust Image Watermarking with Lossless Cover Recovery. | Jiale Chen, Wei Wang, Chongyang Shi, Li Dong, Xiping Hu |
| 2025 | ICCV | Model as a Game: On Numerical and Spatial Consistency for Generative Games. | Jingye Chen, Yuzhong Zhao, Yupan Huang, Lei Cui, Li Dong, Tengchao Lv, Qifeng Chen, Furu Wei |
| 2025 | ICLR | Semi-Parametric Retrieval via Binary Bag-of-Tokens Index. | Jiawei Zhou, Li Dong, Furu Wei, Lei Chen |
| 2025 | ICLR | Self-Boosting Large Language Models with Synthetic Preference Data. | Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei |
| 2025 | ICLR | Data Selection via Optimal Control for Language Models. | Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang |
| 2025 | ICLR | Differential Transformer. | Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei |
| 2025 | ICML | Imagine While Reasoning in Space: Multimodal Visualization-of-Thought. | Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulic, Furu Wei |
| 2025 | IJCNN | MRAFF: Multi-resolution Attention Feature Fusion Method for Multi-label Fundus Image Ocular Disease Screening. | Chucheng Chen, Zheng Gong, Weihao Gao, Zhuo Deng, Lei Shao, Li Dong, Wenbin Wei, Lan Ma |
| 2025 | IJCNN | UMGen: Multi-scale and Multi-region Joint Prediction Pipeline for Uveal Melanoma Prognosis-related Gene Subtyping. | Zhuo Deng, Zheng Gong, Ruiheng Zhang, Li Dong, Weihao Gao, Lei Shao, Wenbin Wei, Lan Ma |
| 2025 | ISCAS | Diversity-Preserving Robust Watermarking for Diffusion Model Generated Images. | Linghong Wan, Li Dong, Diqun Yan, Rangding Wang |
| 2025 | VTC | Accelerating Federated Digital Twin Services with Fractal Generative Task Scheduling in ITS. | Xiaolong Li, Huimin Lei, Yi Liu, Zhaoxing Zou, Yi Xiong, Huihuang Liu, Bin Wang, Junhao Yang, Yang Liu, Li Dong |
| 2024 | COLING | EDDA: An Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection. | Daijun Ding, Li Dong, Zhichao Huang, Guangning Xu, Xu Huang, Bo Liu, Liwen Jing, Bowen Zhang |
| 2024 | CVPR | BioCLIP: A Vision Foundation Model for the Tree of Life. | Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su |
| 2024 | EACL | Language Models as Inductive Reasoners. | Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei |
| 2024 | ICASSP | Cross-Target Stance Detection by Exploiting Target Analytical Perspectives. | Daijun Ding, Rong Chen, Liwen Jing, Bowen Zhang, Xu Huang, Li Dong, Xiaowen Zhao, Ge Song |
| 2024 | ICASSP | Breaking Speaker Recognition with Paddingback. | Zhe Ye, Diqun Yan, Li Dong, Kailai Shen |
| 2024 | ICLR | MiniLLM: Knowledge Distillation of Large Language Models. | Yuxian Gu, Li Dong, Furu Wei, Minlie Huang |
| 2024 | ICLR | Kosmos-G: Generating Images in Context with Multimodal Large Language Models. | Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei |
| 2024 | ICLR | Grounding Multimodal Large Language Models to the World. | Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Qixiang Ye, Furu Wei |
| 2024 | IROS | KOSMOS-E : Learning to Follow Instruction for Robotic Grasping. | Zhi Wang, Xun Wu, Shaohan Huang, Li Dong, Wenhui Wang, Shuming Ma, Furu Wei |
| 2023 | ACL | Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. | Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei |
| 2023 | ACL | Pre-Training to Learn in Context. | Yuxian Gu, Li Dong, Furu Wei, Minlie Huang |
| 2023 | ACL | Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning. | Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei, Vishrav Chaudhary, Xia Song |
| 2023 | ACL | A Length-Extrapolatable Transformer. | Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, Furu Wei |
| 2023 | ACL | GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. | Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Furu Wei, Zhoujun Li |
| 2023 | ASRU | SQAT-LD: SPeech Quality Assessment Transformer Utilizing Listener Dependent Modeling for Zero-Shot Out-of-Domain MOS Prediction. | Kailai Shen, Diqun Yan, Li Dong, Ying Ren, Xiaoxun Wu, Jing Hu |
| 2023 | CVPR | Generic-to-Specific Distillation of Masked Autoencoders. | Wei Huang, Zhiliang Peng, Li Dong, Furu Wei, Jianbin Jiao, Qixiang Ye |
| 2023 | CVPR | Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks. | Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei |
| 2023 | CVPR | Non-Contrastive Learning Meets Language-Image Pre-Training. | Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei |
| 2023 | ICLR | Corrupted Image Modeling for Self-Supervised Visual Pre-Training. | Yuxin Fang, Li Dong, Hangbo Bao, Xinggang Wang, Furu Wei |
| 2023 | ICLR | Prototypical Calibration for Few-shot Learning of Language Models. | Zhixiong Han, Yaru Hao, Li Dong, Yutao Sun, Furu Wei |
| 2023 | ICLR | Visually-Augmented Language Modeling. | Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei |
| 2023 | ICML | Semi-Offline Reinforcement Learning for Optimized Text Generation. | Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan |
| 2023 | ICML | Magneto: A Foundation Transformer. | Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei |
| 2023 | IJCNN | Gradient Sign Inversion: Making an Adversarial Attack a Good Defense. | Xiaojian Ji, Li Dong, Rangding Wang, Diqun Yan, Yang Yin, Jinyu Tian |
| 2023 | Interspeech | Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion. | Zhe Ye, Terui Mao, Li Dong, Diqun Yan |
| 2023 | SMC | Adaptive-SpEx: Local and Global Perceptual Modeling with Speaker Adaptation for Target Speaker Extraction. | Xianbo Xu, Diqun Yan, Li Dong |
| 2022 | ACCV | Synchronous Bi-directional Pedestrian Trajectory Prediction with Error Compensation. | Ce Xie, Yuanman Li, Rongqin Liang, Li Dong, Xia Li |
| 2022 | ACL | CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. | Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei |
| 2022 | ACL | THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. | Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei |
| 2022 | ACL | XLM-E: Cross-lingual Language Model Pre-training via ELECTRA. | Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei |
| 2022 | ACL | StableMoE: Stable Routing Strategy for Mixture of Experts. | Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei |
| 2022 | ACL | Knowledge Neurons in Pretrained Transformers. | Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei |
| 2022 | ACL | Controllable Natural Language Generation with Contrastive Prefixes. | Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen |
| 2022 | CVPR | Swin Transformer V2: Scaling Up Capacity and Resolution. | Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo |
| 2022 | EMNLP | AdaPrompt: Adaptive Model Training for Prompt-based NLP. | Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang |
| 2022 | EMNLP | CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation. | Jian Yang, Shaohan Huang, Shuming Ma, Yuwei Yin, Li Dong, Dongdong Zhang, Hongcheng Guo, Zhoujun Li, Furu Wei |
| 2022 | ICLR | BEiT: BERT Pre-Training of Image Transformers. | Hangbo Bao, Li Dong, Songhao Piao, Furu Wei |
| 2022 | IPEC | A Method to Improve Attitude Data Integrity for Single Pilot Operation Scene. | Li Dong, Haiyong Dong |
| 2022 | IWDW | Physical Anti-copying Semi-robust Random Watermarking for QR Code. | Jiale Chen, Li Dong, Rangding Wang, Diqun Yan, Weiwei Sun, Hang-Yu Fan |
| 2022 | IWDW | High-Capacity Adaptive Steganography Based on Transform Coefficient for HEVC. | Lin Yang, Rangding Wang, Dawen Xu, Li Dong, Songhan He, Fang Liu |
| 2022 | MICCAI | Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task. | Bilha Githinji, Lei Shao, Lin An, Hao Zhang, Fang Li, Li Dong, Lan Ma, Yuhan Dong, Yongbing Zhang, Wen B. Wei, Peiwu Qin |
| 2022 | SMC | On Attacking Deep Image Quality Evaluator Via Spatial Transform. | Ning Lu, Li Dong, Diqun Yan, Xianliang Jiang |
| 2022 | TrustCom | Robust Document Image Forgery Localization Against Image Blending. | Weipeng Liang, Li Dong, Rangding Wang, Diqun Yan, Yuanman Li |
| 2021 | AAAI | Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. | Yaru Hao, Li Dong, Furu Wei, Ke Xu |
| 2021 | ACL | Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment. | Zewen Chi, Li Dong, Bo Zheng, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei |
| 2021 | ACL | Learning to Sample Replacements for ELECTRA Pre-Training. | Yaru Hao, Li Dong, Hangbo Bao, Ke Xu, Furu Wei |
| 2021 | ACL | MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. | Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei |
| 2021 | ACL | Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. | Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei |
| 2021 | ACL | Memory-Efficient Differentiable Transformer Architecture Search. | Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen |
| 2021 | ACL | Consistency Regularization for Cross-Lingual Fine-Tuning. | Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei |
| 2021 | EMNLP | Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders. | Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei |
| 2021 | EMNLP | mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs. | Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Saksham Singhal, Xian-Ling Mao, Heyan Huang, Xia Song, Furu Wei |
| 2021 | EMNLP | Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training. | Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei |
| 2021 | ISCAS | A 12-Bit 100MS/s SAR ADC with Digital Error Correction and High-Speed LMS-Based Background Calibration. | Zhechong Lan, Li Dong, Xixin Jing, Li Geng |
| 2021 | ISCAS | A 320240 I-ToF CMOS Image Sensor with 2-Tap 5.6m Pixel and Mismatch-Nonlinearity Suppression. | Youze Xin, Bing Zhang, Congzhen Hu, Li Dong, Dan Li, Yunsong Wang, Lijun Zhang, Shuyu Lei, Li Geng |
| 2021 | NAACL | InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. | Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou |
| 2021 | VRST | VRBT: A Non-pharmacological VR approach towards hypertension. | Yui Lo, Qinglan Shan, Jie Xu, Lei Shao, Li Dong, Peiwu Qin, Yuhan Dong |
| 2020 | AAAI | Cross-Lingual Natural Language Generation via Pre-Training. | Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang |
| 2020 | ACL | Harvesting and Refining Question-Answer Pairs for Unsupervised QA. | Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu |
| 2020 | ECCV | Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. | Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao |
| 2020 | ICML | UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. | Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon |
| 2020 | IJCNLP | Can Monolingual Pretrained Models Help Cross-Lingual Classification? | Zewen Chi, Li Dong, Furu Wei, Xianling Mao, Heyan Huang |
| 2020 | IJCNLP | Investigating Learning Dynamics of BERT Fine-Tuning. | Yaru Hao, Li Dong, Furu Wei, Ke Xu |
| 2020 | IECON | An Open-loop Digitally Controlled Supply Modulator for Wideband Envelope Tracking. | Zeqiang Chen, Li Dong, Kefeng Han, Zhuoqi Guo, Zhongming Xue, Xingzhi Liu, Zheng Ke, Li Geng |
| 2020 | IWDW | Efficient Generation of Speech Adversarial Examples with Generative Model. | Donghua Wang, Rangding Wang, Li Dong, Diqun Yan, Yiming Ren |
| 2019 | AAAI | Data-to-Text Generation with Content Selection and Planning. | Ratish Puduppully, Li Dong, Mirella Lapata |
| 2019 | ACL | Data-to-text Generation with Entity Modeling. | Ratish Puduppully, Li Dong, Mirella Lapata |
| 2019 | ACL | Learning to Ask Unanswerable Questions for Machine Reading Comprehension. | Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
| 2019 | CCGRID | An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. | Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong |
| 2019 | CoNLL | Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation. | Xiao Huang, Li Dong, Elizabeth Boschee, Nanyun Peng |
| 2019 | EMNLP | Visualizing and Understanding the Effectiveness of BERT. | Yaru Hao, Li Dong, Furu Wei, Ke Xu |
| 2018 | ACL | Coarse-to-Fine Decoding for Neural Semantic Parsing. | Li Dong, Mirella Lapata |
| 2018 | ACL | Confidence Modeling for Neural Semantic Parsing. | Li Dong, Chris Quirk, Mirella Lapata |
| 2017 | EACL | Learning to Generate Product Reviews from Attributes. | Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, Ke Xu |
| 2017 | EMNLP | Learning to Paraphrase for Question Answering. | Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata |
| 2016 | ACL | Language to Logical Form with Neural Attention. | Li Dong, Mirella Lapata |
| 2016 | EMNLP | Long Short-Term Memory-Networks for Machine Reading. | Jianpeng Cheng, Li Dong, Mirella Lapata |
| 2016 | EMNLP | Solving and Generating Chinese Character Riddles. | Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou |
| 2016 | ICIP | Estimating noise level for natural images based on scale-invariant kurtosis and piecewise stationarity. | Li Dong, Jiantao Zhou |
| 2016 | IJCAI | Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. | Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou |
| 2015 | AAAI | Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization. | Ziqiang Cao, Furu Wei, Li Dong, Sujian Li, Ming Zhou |
| 2015 | ACL | Question Answering over Freebase with Multi-Column Convolutional Neural Networks. | Li Dong, Furu Wei, Ming Zhou, Ke Xu |
| 2015 | ICICS | Suffix Type String Matching Algorithms Based on Multi-windows and Integer Comparison. | Hongbo Fan, Shupeng Shi, Jing Zhang, Li Dong |
| 2015 | IJCAI | A Hybrid Neural Model for Type Classification of Entity Mentions. | Li Dong, Furu Wei, Hong Sun, Ming Zhou, Ke Xu |
| 2014 | AAAI | Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis. | Li Dong, Furu Wei, Ming Zhou, Ke Xu |
| 2014 | ACL | Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. | Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu |
| 2014 | CIKM | AMiner-mini: A People Search Engine for University. | Jingyuan Liu, Debing Liu, Xingyu Yan, Li Dong, Ting Zeng, Yutao Zhang, Jie Tang |
| 2014 | EMNLP | A Joint Segmentation and Classification Framework for Sentiment Analysis. | Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou |
| 2014 | ICWS | Towards Effectively Identifying RESTful Web Services. | Yao Zhao, Li Dong, Rongheng Lin, Danfeng Yan, Jun Li |
| 2013 | AAAI | The Automated Acquisition of Suggestions from Tweets. | Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu |
| 2012 | KDD | MoodLens: an emoticon-based sentiment analysis system for chinese tweets. | Jichang Zhao, Li Dong, Junjie Wu, Ke Xu |
| 2011 | ICONIP | High Order Hopfield Network with Self-feedback to Solve Crossbar Switch Problem. | Yuxin Ding, Li Dong, Bin Zhao, Zhanjun Lu |
| 2011 | IJCNN | Learning to rank relational objects based on the listwise approach. | Yuxin Ding, Di Zhou, Min Xiao, Li Dong |
| 2010 | ICARCV | HOG based multi-stage object detection and pose recognition for service robot. | Li Dong, Xinguo Yu, Liyuan Li, Jerry Kah Eng Hoe |
| 2010 | ICONIP | A High Order Neural Network to Solve Crossbar Switch Problem. | Yuxin Ding, Li Dong, Ling Wang, Guohua Wu |
| 2009 | HCI | An Interactive Robot Butler. | Yeow Kee Tan, Dilip Kumar Limbu, Ridong Jiang, Liyuan Li, Kah Eng Hoe, Xinguo Yu, Li Dong, Chern Yuen Wong, Haizhou Li |
| 2009 | ICIP | Lift-button detection and recognition for service robot in buildings. | Xinguo Yu, Li Dong, Liyuan Li, Kah Eng Hoe |
| 2008 | ISCAS | Recover image coding loss with LMS filtering. | Weisi Lin, Jinghong Zheng, Li Dong |
| 2007 | IROS | An algorithm for extrinsic parameters calibration of a camera and a laser range finder using line features. | Ganhua Li, Yunhui Liu, Li Dong, Xuanping Cai, Dongxiang Zhou |
| 2004 | DC | METS-Based Cataloging Toolkit for Digital Library Management System. | Li Dong, Bei Zhang, Chunxiao Xing, Lizhu Zhou |