A Kind of Shape-Color Moment Invariants. - Ming Gong 001; Ping Hu; Weiguo Cao; Hua Li 009 (CAD/Graphics, 2011)

Gaussian-curvature-derived invariants for isometry. - Weiguo Cao; Ping Hu; Yujie Liu; Ming Gong 001; Hua Li 009 (Sci. China Inf. Sci., 2013)

Moment invariants to affine transformation of colours. - Ming Gong 001; Hua Li 009; Weiguo Cao (Pattern Recognit. Lett., 2013)

Naturally combined shape-color moment invariants under affine transformations. - Ming Gong 001; You Hao; Hanlin Mo; Hua Li 009 (Comput. Vis. Image Underst., 2017)

Joint Type Inference on Entities and Relations via Graph Convolutional Networks. - Changzhi Sun; Yeyun Gong; Yuanbin Wu; Ming Gong 001; Daxin Jiang; Man Lan; Shiliang Sun; Nan Duan (ACL (1), 2019)

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego. - Ming Gong 001; Linjun Shou; Wutao Lin; Zhijie Sang; Quanjia Yan; Ze Yang 005; Feixiang Cheng; Daxin Jiang (EMNLP/IJCNLP (3), 2019)

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. - Haoyang Huang; Yaobo Liang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Ming Zhou 001 (EMNLP/IJCNLP (1), 2019)

Pretraining-Based Natural Language Generation for Text Summarization. - Haoyu Zhang; Yeyun Gong; Yu Yan; Nan Duan; Jianjun Xu; Ji Wang 001; Ming Gong 001; Ming Zhou 001 (CoRR, 2019)

NeuronBlocks - Building Your NLP DNN Models Like Playing Lego. - Ming Gong 001; Linjun Shou; Wutao Lin; Zhijie Sang; Quanjia Yan; Ze Yang 005; Daxin Jiang (CoRR, 2019)

Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System. - Ze Yang 005; Linjun Shou; Ming Gong 001; Wutao Lin; Daxin Jiang (CoRR, 2019)

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. - Gen Li; Nan Duan; Yuejian Fang; Ming Gong 001; Daxin Jiang (AAAI, 2020)

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. - Shangwen Lv; Daya Guo; Jingjing Xu; Duyu Tang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Songlin Hu 001 (AAAI, 2020)

Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. - Fei Yuan 010; Linjun Shou; Xuanyu Bai; Ming Gong 001; Yaobo Liang; Nan Duan; Yan Fu; Daxin Jiang (ACL, 2020)

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. - Wanjun Zhong; Duyu Tang; Zhangyin Feng; Nan Duan; Ming Zhou 001; Ming Gong 001; Linjun Shou; Daxin Jiang; Jiahai Wang; Jian Yin 001 (ACL, 2020)

Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. - Junhao Liu 001; Linjun Shou; Jian Pei 001; Ming Gong 001; Min Yang 007; Daxin Jiang (COLING, 2020)

A Graph Representation of Semi-structured Data for Web Question Answering. - Xingyao Zhang; Linjun Shou; Jian Pei 001; Ming Gong 001; Lijie Wen 001; Daxin Jiang (COLING, 2020)

CodeBERT: A Pre-Trained Model for Programming and Natural Languages. - Zhangyin Feng; Daya Guo; Duyu Tang; Nan Duan; Xiaocheng Feng; Ming Gong 001; Linjun Shou; Bing Qin 001; Ting Liu 001; Daxin Jiang; Ming Zhou 001 (EMNLP (Findings), 2020)

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Ruofei Zhang; et al. (EMNLP (1), 2020)

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. - Xuguang Wang; Linjun Shou; Ming Gong 001; Nan Duan; Daxin Jiang (EMNLP (Findings), 2020)

MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. - Huaishao Luo; Yu Shi 001; Ming Gong 001; Linjun Shou; Tianrui Li 001 (AACL/IJCNLP, 2020)

Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. - Linjun Shou; Shining Bo; Feixiang Cheng; Ming Gong 001; Jian Pei 001; Daxin Jiang (KDD, 2020)

Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. - Ze Yang 005; Linjun Shou; Ming Gong 001; Wutao Lin; Daxin Jiang (WSDM, 2020)

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Bruce Zhang; et al. (CoRR, 2020)

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. - Daya Guo; Akari Asai; Duyu Tang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Jian Yin 001; Ming Zhou 001 (CoRR, 2020)

Pre-training Text Representations as Meta Learning. - Shangwen Lv; Yuechen Wang; Daya Guo; Duyu Tang; Nan Duan; Fuqing Zhu; Ming Gong 001; Linjun Shou; Ryan Ma; Daxin Jiang; Guihong Cao; Ming Zhou 001; et al. (CoRR, 2020)

Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding. - Martin Kuo; Yaobo Liang; Lei Ji 001; Nan Duan; Linjun Shou; Ming Gong 001; Peng Chen 029 (CoRR, 2020)

Reinforced Multi-Teacher Selection for Knowledge Distillation. - Fei Yuan 010; Linjun Shou; Jian Pei 001; Wutao Lin; Ming Gong 001; Yan Fu; Daxin Jiang (AAAI, 2021)

CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. - Junjie Huang 008; Duyu Tang; Linjun Shou; Ming Gong 001; Ke Xu 001; Daxin Jiang; Ming Zhou 001; Nan Duan (ACL/IJCNLP (1), 2021)

GLGE: A New General Language Generation Evaluation Benchmark. - Dayiheng Liu; Yu Yan; Yeyun Gong; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Weizhu Chen; Jie Fu 001; Linjun Shou; Ming Gong 001; Pengcheng Wang; Jiusheng Chen; et al. (ACL/IJCNLP (Findings), 2021)

Retrieval Enhanced Model for Commonsense Generation. - Han Wang; Yang Liu 124; Chenguang Zhu 001; Linjun Shou; Ming Gong 001; Yichong Xu; Michael Zeng 001 (ACL/IJCNLP (Findings), 2021)

Syntax-Enhanced Pre-trained Model. - Zenan Xu; Daya Guo; Duyu Tang; Qinliang Su; Linjun Shou; Ming Gong 001; Wanjun Zhong; Xiaojun Quan; Daxin Jiang; Nan Duan (ACL/IJCNLP (1), 2021)

Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. - Yingmei Guo; Linjun Shou; Jian Pei 001; Ming Gong 001; Mingxing Xu; Zhiyong Wu 001; Daxin Jiang (EMNLP (1), 2021)

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. - Junjie Huang 008; Duyu Tang; Wanjun Zhong; Shuai Lu; Linjun Shou; Ming Gong 001; Daxin Jiang; Nan Duan (EMNLP (Findings), 2021)

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model. - Junwei Liao; Yu Shi 001; Ming Gong 001; Linjun Shou; Sefik Emre Eskimez; Liyang Lu; Hong Qu; Michael Zeng 001 (ICASSP, 2021)

Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. - Junwei Liao; Yu Shi 001; Ming Gong 001; Linjun Shou; Hong Qu; Michael Zeng 001 (IJCNN, 2021)

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. - Shining Liang; Ming Gong 001; Jian Pei 001; Linjun Shou; Wanli Zuo; Xianglin Zuo; Daxin Jiang (KDD, 2021)

Language Scaling: Applications, Challenges and Approaches. - Linjun Shou; Ming Gong 001; Jian Pei 001; Xiubo Geng; Xingjie Zhou; Daxin Jiang (KDD, 2021)

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. - Shuai Lu; Daya Guo; Shuo Ren; Junjie Huang 008; Alexey Svyatkovskiy; Ambrosio Blanco; Colin B. Clement; Dawn Drain; Daxin Jiang; Duyu Tang; Ge Li 001; Lidong Zhou; et al. (NeurIPS Datasets and Benchmarks, 2021)

CalibreNet: Calibration Networks for Multilingual Sequence Labeling. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Daxin Jiang (WSDM, 2021)

A Joint and Domain-Adaptive Approach to Spoken Language Understanding. - Linhao Zhang; Yu Shi 001; Linjun Shou; Ming Gong 001; Houfeng Wang; Michael Zeng 001 (CoRR, 2021)

From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. - Nuo Chen 001; Linjun Shou; Ming Gong 001; Jian Pei 001; Daxin Jiang (CoRR, 2021)

From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. - Nuo Chen 001; Linjun Shou; Ming Gong 001; Jian Pei 001 (AAAI, 2022)

Multi-View Document Representation Learning for Open-Domain Dense Retrieval. - Shunyu Zhang; Yaobo Liang; Ming Gong 001; Daxin Jiang; Nan Duan (ACL (1), 2022)

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. - Jianhuan Zhuo; Jianxun Lian; Lanling Xu; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Yinliang Yue (CIKM, 2022)

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. - Junjie Huang 008; Wanjun Zhong; Qian Liu 012; Ming Gong 001; Daxin Jiang; Nan Duan (EMNLP (Findings), 2022)

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Xianglin Zuo; Daxin Jiang (EMNLP, 2022)

Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. - Houxing Ren; Linjun Shou; Jian Pei 001; Ning Wu; Ming Gong 001; Daxin Jiang (EMNLP (Findings), 2022)

Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. - Houxing Ren; Linjun Shou; Ning Wu; Ming Gong 001; Daxin Jiang (EMNLP, 2022)

Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. - Ning Wu; Yaobo Liang; Houxing Ren; Linjun Shou; Nan Duan; Ming Gong 001; Daxin Jiang (IJCAI, 2022)

Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. - Nuo Chen 001; Linjun Shou; Ming Gong 001; Jian Pei 001; Daxin Jiang (NAACL-HLT, 2022)

Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

Transformer-Empowered Content-Aware Collaborative Filtering. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Xianglin Zuo; Daxin Jiang (CoRR, 2022)

Negative Sampling for Contrastive Representation Learning: A Review. - Lanling Xu; Jianxun Lian; Wayne Xin Zhao; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Ji-Rong Wen (CoRR, 2022)

Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. - Shengyao Zhuang; Houxing Ren; Linjun Shou; Jian Pei 001; Ming Gong 001; Guido Zuccon; Daxin Jiang (CoRR, 2022)

Graph Fusion Network for Text Classification. - Yong Dai 001; Linjun Shou; Ming Gong 001; Xiaolin Xia; Zhao Kang 001; Zenglin Xu; Daxin Jiang (Knowl. Based Syst., 2022)

WIERT: Web Information Extraction via Render Tree. - Zimeng Li; Bo Shao; Linjun Shou; Ming Gong 001; Gen Li; Daxin Jiang (AAAI, 2023)

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. - Zenan Xu; Linjun Shou; Jian Pei 001; Ming Gong 001; Qinliang Su; Xiaojun Quan; Daxin Jiang (AAAI, 2023)

Alleviating Over-smoothing for Unsupervised Sentence Representation. - Nuo Chen 001; Linjun Shou; Jian Pei 001; Ming Gong 001; Bowen Cao; Jianhui Chang; Jia Li 009; Daxin Jiang (ACL (1), 2023)

Structural Contrastive Pretraining for Cross-Lingual Comprehension. - Nuo Chen 001; Linjun Shou; Tengtao Song; Ming Gong 001; Jian Pei 001; Jianhui Chang; Daxin Jiang; Jia Li 009 (ACL (Findings), 2023)

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation. - Shengming Yin; Chenfei Wu; Huan Yang 005; Jianfeng Wang; Xiaodong Wang 023; Minheng Ni; Zhengyuan Yang; Linjie Li; Shuguang Liu; Fan Yang 024; Jianlong Fu; Ming Gong 001; et al. (ACL (1), 2023)

RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. - Ning Wu; Ming Gong 001; Linjun Shou; Jian Pei 001; Daxin Jiang (CIKM, 2023)

Instructed Language Models with Retrievers Are Powerful Entity Linkers. - Zilin Xiao; Ming Gong 001; Jie Wu; Xingyao Zhang; Linjun Shou; Daxin Jiang (EMNLP, 2023)

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. - Zilin Xiao; Linjun Shou; Xingyao Zhang; Jie Wu; Ming Gong 001; Daxin Jiang (EMNLP (Findings), 2023)

Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. - Shunyu Zhang; Yaobo Liang; Ming Gong 001; Daxin Jiang; Nan Duan (ICLR, 2023)

Large Language Models are Diverse Role-Players for Summarization Evaluation. - Ning Wu; Ming Gong 001; Linjun Shou; Shining Liang; Daxin Jiang (NLPCC (1), 2023)

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. - Shengyao Zhuang; Linjun Shou; Jian Pei 001; Ming Gong 001; Houxing Ren; Guido Zuccon; Daxin Jiang (SIGIR-AP, 2023)

Bridge the Gap between Language models and Tabular Understanding. - Nuo Chen 001; Linjun Shou; Ming Gong 001; Jian Pei 001; Chenyu You; Jianhui Chang; Daxin Jiang; Jia Li 009 (CoRR, 2023)

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs. - Yaobo Liang; Chenfei Wu; Ting Song; Wenshan Wu; Yan Xia 005; Yu Liu; Yang Ou; Shuai Lu; Lei Ji 001; Shaoguang Mao; Yun Wang; Linjun Shou; et al. (CoRR, 2023)

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. - Nuo Chen 001; Zinan Zheng; Ning Wu; Linjun Shou; Ming Gong 001; Yangqiu Song; Dongmei Zhang 001; Jia Li 009 (CoRR, 2023)

Instructed Language Models with Retrievers Are Powerful Entity Linkers. - Zilin Xiao; Ming Gong 001; Jie Wu; Xingyao Zhang; Linjun Shou; Jian Pei 001; Daxin Jiang (CoRR, 2023)

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. - Zilin Xiao; Linjun Shou; Xingyao Zhang; Jie Wu; Ming Gong 001; Jian Pei 001; Daxin Jiang (CoRR, 2023)

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers. - Nuo Chen 001; Ning Wu; Shining Liang; Ming Gong 001; Linjun Shou; Dongmei Zhang 001; Jia Li 009 (CoRR, 2023)

Improving Readability for Automatic Speech Recognition Transcription. - Junwei Liao; Sefik Emre Eskimez; Liyang Lu; Yu Shi 001; Ming Gong 001; Linjun Shou; Hong Qu; Michael Zeng 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Grounding Language Models for Visual Entity Recognition. - Zilin Xiao; Ming Gong 001; Paola Cascante-Bonilla; Xingyao Zhang; Jie Wu; Vicente Ordonez (ECCV (11), 2024)

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. - Nuo Chen 001; Zinan Zheng; Ning Wu; Ming Gong 001; Dongmei Zhang 001; Jia Li 009 (EMNLP (Findings), 2024)

Ploutos: Towards interpretable stock movement prediction with financial large language model. - Hanshuang Tong; Jun Li; Ning Wu; Ming Gong 001; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Hypertext Entity Extraction in Webpage. - Yifei Yang; Tianqiao Liu; Bo Shao; Hai Zhao 001; Linjun Shou; Ming Gong 001; Daxin Jiang (CoRR, 2024)

Step-Back Profiling: Distilling User History for Personalized Scientific Writing. - Xiangru Tang; Xingyao Zhang; Yanjun Shao; Jie Wu; Yilun Zhao 001; Arman Cohan; Ming Gong 001; Dongmei Zhang 001; Mark Gerstein (CoRR, 2024)

Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies. - Weihao Liu; Ning Wu; Wenbiao Ding; Shining Liang; Ming Gong 001; Dongmei Zhang 001 (CoRR, 2024)

AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition. - Minheng Ni; Chenfei Wu; Huaying Yuan; Zhengyuan Yang; Ming Gong 001; Lijuan Wang; Zicheng Liu 001; Wangmeng Zuo; Nan Duan (CoRR, 2024)

Selected Languages are All You Need for Cross-lingual Truthfulness Transfer. - Weihao Liu; Ning Wu; Wenbiao Ding; Shining Liang; Ming Gong 001; Dongmei Zhang 001 (COLING, 2025)

Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model. - Hanshuang Tong; Jun Li; Ning Wu; Ming Gong 001; Dongmei Zhang 001; Qi Zhang 066 (WWW (Companion Volume), 2025)

MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads. - Weihao Liu; Ning Wu; Shiping Yang; Wenbiao Ding; Shining Liang; Ming Gong 001; Dongmei Zhang 001 (CoRR, 2025)

Quantifying the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data. - Shiping Yang; Jie Wu; Wenbiao Ding; Ning Wu; Shining Liang; Ming Gong 001; Hengyuan Zhang; Dongmei Zhang 001 (CoRR, 2025)