Ming Gong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
59
Venues
21
Active years
1993–2026
Best venue rank
A*
Where they publish
Papers
59 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Quantifying and Improving 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, Hongzhi Li, Hengyuan Zhang, Angel X. Chang, Dongmei Zhang |
| 2025 | COLING | Selected Languages are All You Need for Cross-lingual Truthfulness Transfer. | Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang |
| 2025 | EMNLP | ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues? | Haoxin Wang, Xianhan Peng, Huang Cheng, Yizhe Huang, Ming Gong, Chenghan Yang, Yang Liu, Jiang Lin |
| 2025 | WWW | Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model. | Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang |
| 2024 | ECCV | Grounding Language Models for Visual Entity Recognition. | Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez |
| 2024 | EMNLP | Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. | Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li |
| 2023 | AAAI | WIERT: Web Information Extraction via Render Tree. | Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang |
| 2023 | AAAI | A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. | Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang |
| 2023 | ACL | Alleviating Over-smoothing for Unsupervised Sentence Representation. | Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang |
| 2023 | ACL | Structural Contrastive Pretraining for Cross-Lingual Comprehension. | Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li |
| 2023 | ACL | NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation. | Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Ming Gong, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan |
| 2023 | CIKM | RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. | Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang |
| 2023 | EMNLP | Instructed Language Models with Retrievers Are Powerful Entity Linkers. | Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang |
| 2023 | EMNLP | Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. | Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang |
| 2023 | HPCC | Large-Scale Parallelization and Optimization of Lattice QCD on Tianhe New Generation Supercomputer. | Junlin Chen, Chaojing Liu, Zhongzhi Luan, Ming Gong, Qingfeng Li, Depei Qian |
| 2023 | ICLR | Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. | Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan |
| 2022 | AAAI | From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. | Nuo Chen, Linjun Shou, Ming Gong, Jian Pei |
| 2022 | ACL | Multi-View Document Representation Learning for Open-Domain Dense Retrieval. | Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan |
| 2022 | CIKM | Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. | Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue |
| 2022 | EMNLP | Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. | Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan |
| 2022 | EMNLP | Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. | Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
| 2022 | EMNLP | Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. | Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang |
| 2022 | EMNLP | Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. | Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang |
| 2022 | IJCAI | Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. | Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang |
| 2022 | NAACL | Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. | Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang |
| 2022 | RecSys | Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | RecSys | Transformer-Empowered Content-Aware Collaborative Filtering. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2021 | AAAI | Recognizing Figure Labels in Patents. | Ming Gong, Xin Wei, Diane Oyen, Jian Wu, Martin Gryder, Liping Yang |
| 2021 | AAAI | Reinforced Multi-Teacher Selection for Knowledge Distillation. | Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang |
| 2021 | ACL | CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. | Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan |
| 2021 | ACL | GLGE: A New General Language Generation Evaluation Benchmark. | Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan |
| 2021 | ACL | Retrieval Enhanced Model for Commonsense Generation. | Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng |
| 2021 | ACL | Syntax-Enhanced Pre-trained Model. | Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan |
| 2021 | EMNLP | Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. | Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang |
| 2021 | EMNLP | WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. | Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan |
| 2021 | ICASSP | Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model. | Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng |
| 2021 | IJCNN | Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. | Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng |
| 2021 | KDD | Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. | Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
| 2021 | KDD | Language Scaling: Applications, Challenges and Approaches. | Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang |
| 2021 | WSDM | CalibreNet: Calibration Networks for Multilingual Sequence Labeling. | Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang |
| 2020 | AAAI | Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. | Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang |
| 2020 | AAAI | Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. | Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu |
| 2020 | ACL | Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. | Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang |
| 2020 | ACL | LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. | Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin |
| 2020 | COLING | Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. | Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang |
| 2020 | COLING | A Graph Representation of Semi-structured Data for Web Question Answering. | Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang |
| 2020 | CVPR | Diagram Image Retrieval and Analysis: Challenges and Opportunities. | Liping Yang, Ming Gong, Vijayan K. Asari |
| 2020 | EMNLP | CodeBERT: A Pre-Trained Model for Programming and Natural Languages. | Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | 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, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou |
| 2020 | EMNLP | No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. | Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang |
| 2020 | IJCNLP | MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. | Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li |
| 2020 | KDD | Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. | Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang |
| 2020 | WSDM | Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. | Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang |
| 2019 | ACL | Joint Type Inference on Entities and Relations via Graph Convolutional Networks. | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan |
| 2019 | EMNLP | NeuronBlocks: Building Your NLP DNN Models Like Playing Lego. | Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang |
| 2019 | EMNLP | Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. | Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou |
| 2018 | ISPA | Accelerating Lattice QCD on Sunway Many-Core Processor. | Zengxiao Zhang, Zhongzhi Luan, Chongyang Xu, Ming Gong, Shun Xu |
| 2007 | ISCC | Link-Disjoint Shortest-Delay Path-Pair Computation Algorithms for Shared Mesh Restoration Networks. | Hassan Naser, Ming Gong |
| 1993 | ICCI | Why Functional Languages Really Need Parallelism. | Paul A. Bailes, Ming Gong, Andrew Moran |