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ORCIDMing Gong
Min Gong
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2020 – today
- 2024
[j43]Xiao Hu, Tianshu Wang, Min Gong
, Shaoshi Yang:
Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning. IEEE Access 12: 48210-48222 (2024)- [j42]Huan Zhang, Ming Gong, Jingsong He, Boris A. Malomed:
Two-dimensional vector solitons in Bose-Einstein-condensate mixtures. Appl. Math. Comput. 469: 128536 (2024) - [j41]Zhibin Lin, Min Gong:
Separated Wideband CIC Compensator with High-Flatness and Low-Complexity Implementation. Circuits Syst. Signal Process. 43(3): 1889-1904 (2024) - [j40]Linhai Wang, Shenghua Zhou, Min Gong, Pengfei Zhao, Jian Yang, Xin Sui:
Three-Dimensional Signal Source Localization with Angle-Only Measurements in Passive Sensor Networks. Remote. Sens. 16(8): 1319 (2024) - [j39]Li Liu, Wenjie Li, Ming Gong, Lei Zhong, Honggang Gu, Shiyuan Liu:
Resolution-Enhanced Lensless Ptychographic Microscope Based on Maximum-Likelihood High-Dynamic-Range Image Fusion. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j38]Li Liu, Lei Zhong, Ming Gong, Jinxiang Du, Honggang Gu, Shiyuan Liu:
An Efficient and Robust Self-Calibration Algorithm for Translation Position Errors in Ptychography. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c87]Yusheng Bian, Won Suk Lee, Sujith Chandran, Abdelsalam Aboketaf, Takako Hirokawa, Kevin Dezfulian, Massimo Sorbara, Seyedeh Fahimeh Banihashemian, Salman Mosleh, Arman Najafi, Qidi Liu, Ming Gong, Michal Rakowski, Chris Ritchie, Ryan Sporer, Michelle Zhang, Shenghua Song, Helen Wong, Arpan Dasgupta, Zahidur Chowdhury, Ryan Gallagher, Jae Gon Lee, Janet Tinkler, George Gifford, Vikas Gupta, Anthony Yu, Ken Giewont, Ted Letavic:
Mitigating substrate leakage loss on a monolithic SiPh platform: experimental demonstration of hybrid Si-SiN waveguides for O-band datacom. OFC 2024: 1-3 - [c86]Yusheng Bian, Won Suk Lee, Sujith Chandran, Takako Hirokawa, Massimo Sorbara, Abdelsalam Aboketaf, Kevin K. Dezfulian, Arman Najafi, Salman Mosleh, Seyedeh Fahimeh Banihashemian, Ryan Sporer, Michelle Zhang, Shenghua Song, Helen Wong, Chris Ritchie, Yarong Lin, Thomas Houghton, Hanyi Ding, Qidi Liu, Ming Gong, Jae Kyu Cho, Arpan Dasgupta, Zahidur Chowdhury, Farid Barakat, Jason Kim, Janet Tinkler, Jae Gon Lee, Norman Robson, Teck Jung Tang, Frederick G. Anderson, Ian Melville, George Gifford, Vikas Gupta, Anthony Yu, Ken Giewont, Ted Letavic:
Towards polarization insensitive photonic integrated circuits: polarization dependent loss reduction of CMOSintegrated monolithic SiPh components. OFC 2024: 1-3 - [c85]Qidi Liu, Abdelsalam Aboketaf, Shantanu Pal, Salman Mosleh, Seyedeh Fahimeh Banihashemian, Sakthivel Pavadai, Jui-Chu Lee, Yusheng Bian, Ming Gong, Bradley Orner, Colleen Wemple, Petar Ivanov Todorov, Kevin K. Dezfulian, Michal Rakowski, Won Suk Lee, Takako Hirokawa, Sujith Chandran, Crystal Hedges, Frank Pavlik, Pike Charles, Avijit Chatterjee, Riddhi Nandi, Ken Giewont, Massimo Sorbara, Karen Nummy, Jignesh Patel, Clifford Morgan, Gregory O'Malley, Frederick G. Anderson:
High-Power Micro-Ring Modulator and Multi-Channel Coupled Ring Resonator for WDM Design on a 300-mm Monolithic Foundry Platform. OFC 2024: 1-3 - [i70]Xiaoquan Li, Stephan Weiss, Yijun Yan, Yinhe Li, Jinchang Ren, John J. Soraghan, Ming Gong:
Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment. CoRR abs/2401.02566 (2024) - [i69]Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez:
Grounding Language Models for Visual Entity Recognition. CoRR abs/2402.18695 (2024) - [i68]Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang:
Ploutos: Towards interpretable stock movement prediction with financial large language model. CoRR abs/2403.00782 (2024) - [i67]Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang:
Hypertext Entity Extraction in Webpage. CoRR abs/2403.01698 (2024) - [i66]Liping Yang, Joshua Driscol, Ming Gong, Shujie Wang, Catherine G. Potts:
TGGLinesPlus: A robust topological graph-guided computer vision algorithm for line detection from images. CoRR abs/2403.18038 (2024) - [i65]Xiao Hu, Tianshu Wang, Min Gong, Shaoshi Yang:
Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning. CoRR abs/2405.03711 (2024) - [i64]Xiangru Tang, Xingyao Zhang, Yanjun Shao, Jie Wu, Yilun Zhao, Arman Cohan, Ming Gong, Dongmei Zhang, Mark Gerstein:
Step-Back Profiling: Distilling User History for Personalized Scientific Writing. CoRR abs/2406.14275 (2024) - [i63]Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang:
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies. CoRR abs/2406.14434 (2024) - [i62]Minheng Ni, Chenfei Wu, Huaying Yuan, Zhengyuan Yang, Ming Gong, Lijuan Wang, Zicheng Liu, Wangmeng Zuo, Nan Duan:
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition. CoRR abs/2408.11564 (2024) - 2023
- [j37]Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Readability for Automatic Speech Recognition Transcription. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 142:1-142:23 (2023) - [j36]Jianye Pan, Guofeng Zhou, Min Gong, Baoyu Li, Feng Gao, Guansuo Tian:
Estimation and Correction of Azimuth and Attitude Errors of Attitude Tracking for Vehicular Spacecraft. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c84]Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang:
WIERT: Web Information Extraction via Render Tree. AAAI 2023: 13166-13173 - [c83]Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang:
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. AAAI 2023: 13861-13868 - [c82]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:
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation. ACL (1) 2023: 1309-1320 - [c81]Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li:
Structural Contrastive Pretraining for Cross-Lingual Comprehension. ACL (Findings) 2023: 2042-2057 - [c80]Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang:
Alleviating Over-smoothing for Unsupervised Sentence Representation. ACL (1) 2023: 3552-3566 - [c79]Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Thought Bubbles: A Proxy into Players' Mental Model Development. CHI 2023: 729:1-729:21 - [c78]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CIKM 2023: 4871-4878 - [c77]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. EMNLP 2023: 2267-2282 - [c76]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. EMNLP (Findings) 2023: 7480-7492 - [c75]Xiaoquan Li, Stephan Weiss, Yijun Yan, Yinhe Li, Jinchang Ren, John J. Soraghan, Ming Gong:
Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment. EUSIPCO 2023: 1-5 - [c74]Ming Gong, John J. Soraghan, Gaetano Di Caterina, Xiaoquan Li, Derek Grose:
A Boundary Optimization Scheme for Liver Tumors from CT Images. EUSIPCO 2023: 1135-1139 - [c73]Junlin Chen, Chaojing Liu, Zhongzhi Luan, Ming Gong, Qingfeng Li, Depei Qian:
Large-Scale Parallelization and Optimization of Lattice QCD on Tianhe New Generation Supercomputer. HPCC/DSS/SmartCity/DependSys 2023: 499-506 - [c72]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. ICLR 2023 - [c71]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. NLPCC (1) 2023: 695-707 - [c70]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP 2023: 212-222 - [i61]Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Thought Bubbles: A Proxy into Players' Mental Model Development. CoRR abs/2301.13101 (2023) - [i60]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. CoRR abs/2302.01626 (2023) - [i59]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li:
Bridge the Gap between Language models and Tabular Understanding. CoRR abs/2302.09302 (2023) - [i58]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR abs/2303.14979 (2023) - [i57]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. CoRR abs/2303.14991 (2023) - [i56]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. CoRR abs/2303.15078 (2023) - [i55]Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan:
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs. CoRR abs/2303.16434 (2023) - [i54]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR abs/2304.08138 (2023) - [i53]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li:
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR abs/2305.06154 (2023) - [i52]Die Hu, Shaoshi Yang, Min Gong, Zhiyong Feng, Xuejun Zhu:
A Cyber-Physical Routing Protocol Exploiting Trajectory Dynamics for Mission-Oriented Flying Ad Hoc Networks. CoRR abs/2308.00410 (2023) - [i51]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CoRR abs/2309.10469 (2023) - [i50]Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. CoRR abs/2310.20246 (2023) - [i49]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. CoRR abs/2311.03250 (2023) - [i48]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. CoRR abs/2311.03253 (2023) - [i47]Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li:
Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers. CoRR abs/2312.04333 (2023) - 2022
- [j35]Cheng Gong, Jing Liu, Ming Gong, Jingbing Li, Uzair Aslam Bhatti, Jixin Ma:
Robust medical zero-watermarking algorithm based on Residual-DenseNet. IET Biom. 11(6): 547-556 (2022) - [j34]Changsheng Zhu, Min Gong:
Target Recognition, Localization, and Motion Control of Soccer Robot. J. Sensors 2022: 1-7 (2022) - [j33]Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang:
Graph Fusion Network for Text Classification. Knowl. Based Syst. 236: 107659 (2022) - [j32]Tiangang Li, Bo Gao, Xin Zhao, Min Gong:
A curvature-compensated bandgap voltage reference with a temperature coefficient trimming circuit. Microelectron. J. 119: 105308 (2022) - [j31]Songlin Bi, Menghao Wang, Jiaqi Zou, Yonggang Gu, Chao Zhai, Ming Gong:
Dental Implant Navigation System Based on Trinocular Stereo Vision. Sensors 22(7): 2571 (2022) - [c69]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei:
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. AAAI 2022: 10501-10508 - [c68]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. ACL (1) 2022: 5990-6000 - [c67]Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue:
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM 2022: 2806-2816 - [c66]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. EMNLP (Findings) 2022: 444-459 - [c65]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. EMNLP 2022: 3107-3121 - [c64]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. EMNLP (Findings) 2022: 4117-4129 - [c63]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. EMNLP 2022: 9903-9918 - [c62]Ming Gong, Baixiang Zhao, John J. Soraghan, Gaetano Di Caterina, Derek Grose:
Hybrid attention mechanism for liver tumor segmentation in CT images. EUVIP 2022: 1-6 - [c61]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. IJCAI 2022: 4411-4417 - [c60]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. NAACL-HLT 2022: 1909-1923 - [c59]Ming Gong, Wei Zhong, Jiayu Hu, Long Ye, Qin Zhang:
Multi-source Information-Shared Domain Adaptation for EEG Emotion Recognition. PRCV (2) 2022: 441-453 - [c58]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c57]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [i46]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. CoRR abs/2203.08372 (2022) - [i45]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i44]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. CoRR abs/2204.05210 (2022) - [i43]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. CoRR abs/2205.03656 (2022) - [i42]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i41]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. CoRR abs/2206.03281 (2022) - [i40]Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang:
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR abs/2206.10128 (2022) - [i39]Die Hu, Xuejun Zhu, Min Gong, Shaoshi Yang:
Linear Network Coding Based Fast Data Synchronization for Wireless Ad Hoc Networks with Controlled Topology. CoRR abs/2209.08255 (2022) - [i38]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. CoRR abs/2210.05197 (2022) - 2021
- [j30]Songlin Bi, YongGang Gu, Jiaqi Zou, Lianpo Wang, Chao Zhai, Ming Gong:
High Precision Optical Tracking System Based on near Infrared Trinocular Stereo Vision. Sensors 21(7): 2528 (2021) - [j29]Philip D. Waggoner, Robert Y. Shapiro, Samuel Frederick, Ming Gong:
Uncovering the Online Social Structure Surrounding COVID-19. J. Soc. Comput. 2(2): 157-165 (2021) - [c56]Ming Gong, Xin Wei, Diane Oyen, Jian Wu, Martin Gryder, Liping Yang:
Recognizing Figure Labels in Patents. SDU@AAAI 2021 - [c55]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. AAAI 2021: 14284-14291 - [c54]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:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c53]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. ACL/IJCNLP (Findings) 2021: 3056-3062 - [c52]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan:
Syntax-Enhanced Pre-trained Model. ACL/IJCNLP (1) 2021: 5412-5422 - [c51]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c50]Min Hu, Weidan Li, Mingmin Huang, Chang Chen, Min Gong:
Semi-superjunction IGBT with floating p-pillar and p-ring for low losses and high breakdown voltage. ASICON 2021: 1-4 - [c49]Weidan Li, Mingmin Huang, Yun Li, Zhimei Yang, Min Gong:
A Novel Power PiN Diode with p-type Schottky Anode and Trench Oxide for Improving Reverse Recovery. ASICON 2021: 1-4 - [c48]Rui Li, Mingmin Huang, Xi Zhang, Min Hu, Zhimei Yang, Yao Ma, Min Gong:
Superjunction MOSFET with Trench Schottky Contact and Embedded High-k Insulator for Excellent Reverse Recovery. ASICON 2021: 1-4 - [c47]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. EMNLP (Findings) 2021: 238-244 - [c46]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. EMNLP (1) 2021: 3226-3237 - [c45]Songlin Bi, YongGang Gu, Zhihong Zhang, Jiaqi Zou, Chao Zhai, Ming Gong:
A fast feature point extraction method for optical tracking system. I2MTC 2021: 1-5 - [c44]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng:
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model. ICASSP 2021: 7578-7582 - [c43]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. IJCNN 2021: 1-8 - [c42]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. KDD 2021: 3231-3239 - [c41]Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang:
Language Scaling: Applications, Challenges and Approaches. KDD 2021: 4068-4069 - [c40]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c39]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. WSDM 2021: 842-850 - [i37]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i36]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders. CoRR abs/2102.06578 (2021) - [i35]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng:
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model. CoRR abs/2102.11114 (2021) - [i34]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. CoRR abs/2104.01767 (2021) - [i33]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. CoRR abs/2105.11174 (2021) - [i32]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - [i31]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. CoRR abs/2106.00241 (2021) - [i30]Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng:
A Joint and Domain-Adaptive Approach to Spoken Language Understanding. CoRR abs/2107.11768 (2021) - [i29]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. CoRR abs/2109.01583 (2021) - [i28]Nuo Chen, Linjun Shou, Min Gong, Jian Pei, Daxin Jiang:
From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. CoRR abs/2112.04735 (2021) - 2020
- [j28]Weijia Lu, Liang Ma, Hao Chen, Xiaojuan Jiang, Ming Gong:
A Clinical Prediction Model in Health Time Series Data Based on Long Short-Term Memory Network Optimized by Fruit Fly Optimization Algorithm. IEEE Access 8: 136014-136023 (2020) - [j27]Dan Wang, Li Tian, Chang Shi, Yu-Xi Wei, Han Wang, Tian-Tian Liu, Ming Gong, Yan-Wen Zhang, Rong-Guo Yu, Xiao-hui Wu:
Network pharmacology-based prediction of the active ingredients and mechanism of Shen Gui capsule for application to coronary heart disease. Comput. Biol. Medicine 122: 103825 (2020) - [j26]Gang Chen, Min Gong, Chun Deng:
A 12.5 Gbps clock and data recovery circuit with phase interpolation based digital locked loop. IEICE Electron. Express 17(20): 20200302 (2020) - [j25]Di Wu, Min Gong, Rui Peng, Xiangbin Yan, Shaomin Wu:
Optimal Product Substitution and Dual Sourcing Strategy considering Reliability of Production Lines. Reliab. Eng. Syst. Saf. 202: 107037 (2020) - [j24]Shaoyan Xia, Haogang Zhu, Xiaoli Liu, Ming Gong, Xiaoyong Huang, Lei Xu, Hongjia Zhang, Jialong Guo:
Vessel Segmentation of X-Ray Coronary Angiographic Image Sequence. IEEE Trans. Biomed. Eng. 67(5): 1338-1348 (2020) - [c38]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020: 8449-8456 - [c37]Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. AAAI 2020: 11336-11344 - [c36]Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. ACL 2020: 925-934 - [c35]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c34]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. COLING 2020: 51-61 - [c33]Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang:
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. COLING 2020: 2710-2721 - [c32]Liping Yang, Ming Gong, Vijayan K. Asari:
Diagram Image Retrieval and Analysis: Challenges and Opportunities. CVPR Workshops 2020: 685-698 - [c31]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c30]Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. EMNLP (Findings) 2020: 4141-4150 - [c29]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:
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) 2020: 6008-6018 - [c28]Songlin Bi, YongGang Gu, Zhihong Zhang, Honghong Liu, Chao Zhai, Ming Gong:
Multi-camera stereo vision based on weights. I2MTC 2020: 1-6 - [c27]Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li:
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. AACL/IJCNLP 2020: 687-695 - [c26]Songlin Bi, Yonggang Gu, Zhihong Zhang, Chao Zhai, Ming Gong:
Circular Template Matching Based on Improved Ring Projection Method. IVSP 2020: 70-74 - [c25]Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang:
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. KDD 2020: 2931-2941 - [c24]Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. WSDM 2020: 690-698 - [i27]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i26]Ming Gong, Liping Yang, Catherine Potts, Vijayan K. Asari, Diane Oyen, Brendt Wohlberg:
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images. CoRR abs/2002.12428 (2020) - [i25]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. CoRR abs/2004.01401 (2020) - [i24]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i23]Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Readability for Automatic Speech Recognition Transcription. CoRR abs/2004.04438 (2020) - [i22]Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu:
Pre-training Text Representations as Meta Learning. CoRR abs/2004.05568 (2020) - [i21]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i20]Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. CoRR abs/2004.14069 (2020) - [i19]Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang:
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. CoRR abs/2006.07581 (2020) - [i18]Martin Kuo, Yaobo Liang, Lei Ji, Nan Duan, Linjun Shou, Ming Gong, Peng Chen:
Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding. CoRR abs/2009.07406 (2020) - [i17]Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. CoRR abs/2009.12056 (2020) - [i16]Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li:
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. CoRR abs/2009.14348 (2020) - [i15]Heliang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, Jian-Wei Pan:
Experimental Quantum Generative Adversarial Networks for Image Generation. CoRR abs/2010.06201 (2020) - [i14]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. CoRR abs/2010.06801 (2020) - [i13]Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang:
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. CoRR abs/2010.14271 (2020) - [i12]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. CoRR abs/2011.05723 (2020) - [i11]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:
GLGE: A New General Language Generation Evaluation Benchmark. CoRR abs/2011.11928 (2020) - [i10]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. CoRR abs/2012.06048 (2020) - [i9]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang:
Syntax-Enhanced Pre-trained Model. CoRR abs/2012.14116 (2020)
2010 – 2019
- 2019
- [j23]Min Gong, Amitava Mukherjee:
Design and comparison of some Shewhart-type schemes for simultaneous monitoring of Weibull parameters. Qual. Reliab. Eng. Int. 35(4): 889-901 (2019) - [c23]Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan:
Joint Type Inference on Entities and Relations via Graph Convolutional Networks. ACL (1) 2019: 1361-1370 - [c22]Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang:
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego. EMNLP/IJCNLP (3) 2019: 163-168 - [c21]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. EMNLP/IJCNLP (1) 2019: 2485-2494 - [i8]Haoyu Zhang, Yeyun Gong, Yu Yan, Nan Duan, Jianjun Xu, Ji Wang, Ming Gong, Ming Zhou:
Pretraining-Based Natural Language Generation for Text Summarization. CoRR abs/1902.09243 (2019) - [i7]Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Daxin Jiang:
NeuronBlocks - Building Your NLP DNN Models Like Playing Lego. CoRR abs/1904.09535 (2019) - [i6]Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System. CoRR abs/1904.09636 (2019) - [i5]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. CoRR abs/1909.00964 (2019) - [i4]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. CoRR abs/1909.05311 (2019) - [i3]Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. CoRR abs/1910.08381 (2019) - 2018
- [j22]Gang Chen, Min Gong, Dongbing Fu, Junan Zhang:
A high efficient CTLE for 12.5 Gbps receiver of JESD204B standard. IEICE Electron. Express 15(15): 20180617 (2018) - [j21]Chun Deng, Hong-Qiang Yang, Min Gong:
30-43 GHz cascode sub-harmonic mixer in 0.13-µm CMOS technology. IEICE Electron. Express 15(21): 20180793 (2018) - [j20]Ming Gong, Min Xie, Yaning Yang:
Reliability assessment of system under a generalized run shock model. J. Appl. Probab. 55(4): 1249-1260 (2018) - [j19]Chun Deng, Hong-Qiang Yang, Min Gong:
A compact low loss high isolation DC-45GHz SPST switch in 0.13-μm CMOS process. Microelectron. J. 80: 1-6 (2018) - [c20]Zengxiao Zhang, Zhongzhi Luan, Chongyang Xu, Ming Gong, Shun Xu:
Accelerating Lattice QCD on Sunway Many-Core Processor. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 605-612 - 2017
- [j18]Ming Gong, You Hao, Hanlin Mo, Hua Li:
Naturally combined shape-color moment invariants under affine transformations. Comput. Vis. Image Underst. 162: 46-56 (2017) - [j17]Min Gong, Robert Lempert, Andrew R. Parker, Lauren A. Mayer, Jordan Fischbach, Matthew Sisco, Zhimin Mao, David H. Krantz, Howard Kunreuther:
Testing the scenario hypothesis: An experimental comparison of scenarios and forecasts for decision support in a complex decision environment. Environ. Model. Softw. 91: 135-155 (2017) - [j16]Yunyu Shi, Haisheng Yang, Ming Gong, Xiang Liu, Yongxiang Xia:
A Fast and Robust Key Frame Extraction Method for Video Copyright Protection. J. Electr. Comput. Eng. 2017: 1231794:1-1231794:7 (2017) - [j15]Yao Ma, Pengfei Xu, Mingyue Guan, Filippo Boi, Gao Bo, Min Gong, Xue Wu, Yuxin Wang, Hua Wang, ZengQiang Niao:
Analysis of deep level defects in bipolar junction transistors irradiated by 2 MeV electrons. Microelectron. Reliab. 79: 149-152 (2017) - [j14]Ivan Sudakov, Almabrok E. Essa, Luke Mander, Ming Gong, Tharanga Kariyawasam:
The Geometry of Large Tundra Lakes Observed in Historical Maps and Satellite Images. Remote. Sens. 9(10): 1072 (2017) - [i2]Ming Gong, You Hao, Hanlin Mo, Hua Li:
Naturally Combined Shape-Color Moment Invariants under Affine Transformations. CoRR abs/1705.10928 (2017) - 2016
- [j13]Ying Wang, Yingnv Gao, Yan Li, Jia-Ning Wan, Rui-Heng Yang, Wen-Jun Mao, Chen-Li Zhou, Li-Hua Tang, Ming Gong, Ying-Ying Wu, Da-Peng Bao:
Discovery and Characterization of the Highly Active Fungal Immunomodulatory Protein Fip-vvo82. J. Chem. Inf. Model. 56(10): 2103-2114 (2016) - [j12]Ming Gong, Pin-Han Ho, Chih-Hao Lin:
A coordinated multi-point-based quality of service provision resource allocation scheme with inter-cell interference mitigation. Wirel. Commun. Mob. Comput. 16(6): 656-668 (2016) - 2015
- [j11]Zhaohui Ren, Shihua Zhou, Chunhui E, Ming Gong, Bin Li, Bangchun Wen:
Crack fault diagnosis of rotor systems using wavelet transforms. Comput. Electr. Eng. 45: 33-41 (2015) - [c19]Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang:
On Machine Learning towards Predictive Sales Pipeline Analytics. AAAI 2015: 1945-1951 - [c18]Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu:
Sales pipeline win propensity prediction: A regression approach. IM 2015: 854-857 - [i1]Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu:
Sales pipeline win propensity prediction: a regression approach. CoRR abs/1502.06229 (2015) - 2014
- [j10]Xingbao Zhou, Fan Yang, Hai Zhou, Min Gong, Hengliang Zhu, Ye Zhang, Xuan Zeng:
Efficient Statistical Timing Analysis for Circuits with Post-Silicon Tunable Buffers. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(11): 2227-2235 (2014) - [j9]Linqing Wang, Jiafu Tang, Xiang Fei, Min Gong:
A mixed integer programming formulation and solution for traffic analysis zone delineation considering zone amount decision. Inf. Sci. 280: 322-337 (2014) - [j8]Ming Gong, Bin Lin, Pin-Han Ho, Hsiang-Fu Yu, Patrick Hung:
Optimized BS assignment and resource allocation in cooperative OFDM networks. Wirel. Networks 20(5): 847-860 (2014) - 2013
- [j7]Weiguo Cao, Ping Hu, Yujie Liu, Ming Gong, Hua Li:
Gaussian-curvature-derived invariants for isometry. Sci. China Inf. Sci. 56(9): 1-12 (2013) - [j6]Ming Gong, Hua Li, Weiguo Cao:
Moment invariants to affine transformation of colours. Pattern Recognit. Lett. 34(11): 1240-1251 (2013) - [c17]Min Gong, Zhaogui Xu, Lei Xu, Yanhui Li, Lin Chen:
Recommending Web Service Based on User Relationships and Preferences. ICWS 2013: 380-386 - 2012
- [j5]Ming Gong, Bin Lin, Pin-Han Ho, Patrick Hung:
Adaptive BU association and resource allocation in integrated PON-WiMAX networks. Wirel. Commun. Mob. Comput. 12(14): 1284-1301 (2012) - 2011
- [j4]Zhonghua Wei, Xuemei Chen, Ming Gong:
A Study on Guide Sign Validity in Driving Simulator. Int. J. Comput. Intell. Syst. 4(6): 1290-1297 (2011) - [j3]Min Gong, Hai Zhou, Li Li, Jun Tao, Xuan Zeng:
Binning Optimization for Transparently-Latched Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(2): 270-283 (2011) - [c16]Ming Gong, Ping Hu, Weiguo Cao, Hua Li:
A Kind of Shape-Color Moment Invariants. CAD/Graphics 2011: 425-432 - 2010
- [c15]Min Gong, Yusheng Ji, Han Han, Xiaokang Lin:
Two-Dimensional Differential Demodulation for 64-DAPSK Modulated OFDM Signals. CCNC 2010: 1-5 - [c14]Lei Zhong, Yusheng Ji, Min Gong, Fuqiang Liu:
Interference mitigation for distributed MIMO cellular systems using cooperative beamforming. IWCMC 2010: 1060-1064
2000 – 2009
- 2009
- [c13]Ming Gong, Bin Lin, Pin-Han Ho, Patrick Hung:
Adaptive BU Association and Resource Allocation in Integrated PON-WiMAX Networks. AccessNets 2009: 103-120 - [c12]Min Gong, Hai Zhou, Jun Tao, Xuan Zeng:
Binning optimization based on SSTA for transparently-latched circuits. ICCAD 2009: 328-335 - [c11]Anan Fang, Ming Gong, Rong Yu, Xiaoping Qi:
The Realization of Distance-data Acquisition by SCM and Communication Design. PACCS 2009: 350-352 - 2008
- [c10]Min Gong, Chao Zhang, Jianhua Lu, Xiaokang Lin:
Dynamic Resource Allocation in High Speed Mobile OFDMA System. ICC 2008: 3335-3339 - [c9]Hassan Naser, Ming Gong:
Design of Shared Mesh Restoration Schemes with Traffic Load Balancing Constraint. ICC 2008: 5305-5309 - [c8]Chao Zhang, Dong Cheng, Min Gong, Jianhua Lu:
Trellis design of APSK in satellite broadcasting. ICT 2008: 1-7 - [c7]Kwok Yue Chan, Min Gong, Yan Xu, James Y. L. Thong:
Examining user acceptance of SMS: An empirical study in China and Hong Kong. PACIS 2008: 294 - 2007
- [c6]Hassan Naser, Ming Gong:
A Delay-Constrained Shared Mesh Restoration Scheme. ICC 2007: 2230-2235 - [c5]Hassan Naser, Ming Gong:
Link-Disjoint Shortest-Delay Path-Pair Computation Algorithms for Shared Mesh Restoration Networks. ISCC 2007: 269-274 - 2004
- [j2]Min Gong, Yan Xu, Yuecheng Yu:
An Enhanced Technology Acceptance Model for Web-Based Learning. J. Inf. Syst. Educ. 15(4): 365-374 (2004) - [j1]Ruiying Shi, Min Gong, Xunchun Liu, Haifen Sun, Zhipeng Yuan:
Self-aligned In0.49Ga0.51P/GaAs HBT DC and RF characteristics related with orientations. Microelectron. J. 35(11): 923-925 (2004) - [c4]Min Gong, Chuanwu Zhang, Xiaoling Zhang, Shunji Huang:
Analysis of the virtual baseline of cluster SAR satellites. IGARSS 2004: 500-502 - [c3]Min Gong, Ku Yan:
Applying Technology Acceptance Model, Theory of Planned Behavior and Social Cognitive Theory to Mobile Data Communications Service Acceptance. PACIS 2004: 35
1990 – 1999
- 1993
- [b1]Ming Gong:
Towards a declaratively-complete basis for functional programming / by Ming Gong. University of Queensland, Australia, 1993 - [c2]Paul A. Bailes, Ming Gong, Andrew Moran:
Why Functional Languages Really Need Parallelism. ICCI 1993: 423-427 - [c1]Paul A. Bailes, Murray Chapman, Ming Gong, Ian Peake:
GRIT-an extended REFINE for more executable specifications. KBSE 1993: 123-132
Coauthor Index
[i67] [c84] [c83] [c81] [c80] [c78] [c77] [c76] [c72] [c71] [c70] [i60] [i59] [i58] [i57] [i56] [i54] [i53] [i51] [i49] [i48] [j33] [c68] [c67] [c66] [c65] [c64] [c63] [c61] [c60] [c58] [c57] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i38] [c55] [c54] [c52] [c51] [c47] [c46] [c42] [c41] [c40] [c39] [i37] [i34] [i32] [i31] [i29] [i28] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c25] [c24] [i27] [i25] [i24] [i22] [i21] [i20] [i19] [i17] [i14] [i13] [i12] [i11] [i10] [i9] [c23] [c22] [c21] [i7] [i6] [i5] [i4] [i3]
[i67] [j37] [c84] [c83] [c81] [c80] [c78] [c77] [c76] [c71] [c70] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i51] [i50] [i49] [i48] [i47] [j33] [c69] [c67] [c66] [c65] [c63] [c61] [c60] [c58] [c57] [i45] [i44] [i43] [i42] [i41] [i40] [c55] [c54] [c53] [c52] [c51] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [c38] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c27] [c25] [c24] [i27] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i14] [i13] [i12] [i11] [i10] [i9] [c22] [c21] [i7] [i6] [i5] [i4] [i3]
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