Jingang Wang

According to our database, Jingang Wang authored at least 132 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction.

Wei Bai, Lan Xiong, Yubei Liao, Zhengyang Tan, Jingang Wang, Zhanlong Zhang

Sensors, September, 2024

Stiffness-Tunable Substrate Fabrication by DMD-Based Optical Projection Lithography for Cancer Cell Invasion Studies.

Quan Gan, Zhixing Ge, Xiaoduo Wang, Songchen Dai, Na Li, Jingang Wang, Lianqing Liu, Haibo Yu

IEEE Trans. Biomed. Eng., July, 2024

Regional Pulmonary Ventilation Assessment Method and System Based on Impedance Sensing Information from the Pentapulmonary Lobes.

Yapeng Zhang, Chengxin Song, Wei He, Qian Zhang, Pengcheng Zhao, Jingang Wang

Sensors, May, 2024

Research on Residual-Current Measurement System of Substation Considering Magnetic Shielding Effect.

Jinhu Tian, Yu Xu, Yang Yang, Yingchun Zhao, Wei Man, Jingang Wang

Sensors, January, 2024

Maritime Radar Target Detection Model Self-Evolution Based on Semisupervised Learning.

Jingang Wang, Songbin Li

IEEE Trans. Geosci. Remote. Sens., 2024

Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition.

Ying Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu, Zhoujun Li

IEEE ACM Trans. Audio Speech Lang. Process., 2024

SANet: A Compressed Speech Encoder and Steganography Algorithm Independent Steganalysis Deep Neural Network.

Songbin Li, Jingang Wang, Peng Liu, Ke Shi

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Two-Stage Collaborative Sea Clutter Suppression Based on Subregion Gazing and Reconstruction.

Jingang Wang, Ke Shi, Songbin Li

IEEE Geosci. Remote. Sens. Lett., 2024

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models.

Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang

CoRR, 2024

Length Desensitization in Directed Preference Optimization.

Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun Xu, Xuezhi Cao, Jingang Wang, Xunliang Cai

CoRR, 2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.

Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu

CoRR, 2024

ReMamba: Equip Mamba with Effective Long-Sequence Modeling.

Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao

CoRR, 2024

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models.

Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu

CoRR, 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.

Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang

CoRR, 2024

Rethinking LLM-based Preference Evaluation.

Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong

CoRR, 2024

Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration.

Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao

CoRR, 2024

What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation.

Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

CoRR, 2024

C-ICL: Contrastive In-context Learning for Information Extraction.

Ying Mo, Jian Yang, Jiahao Liu, Shun Zhang, Jingang Wang, Zhoujun Li

CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

CoRR, 2024

Combination of feature selection and geographical stratification increases the soil total nitrogen estimation accuracy based on vis-NIR and pXRF spectral fusion.

Jianghui Song, Xiaoyan Shi, Haijiang Wang, Xin Lv, Wenxu Zhang, Jingang Wang, Tiansheng Li, Weidi Li

Comput. Electron. Agric., 2024

Leakage Current De-Disturbance Method for Distribution Network Type Surge Arrester Based on EEMD-SVD and Low-Rank RBF Neural Network.

Hu Zhou, Xuan Jian, Shuang Chen, Xin Li, Wei He, Pei Huang, Wei Chen, Jiawei Luo, Xin Zhang, Bingquan Li, Jingang Wang, Xuetao Duan

IEEE Access, 2024

FIRP: Faster LLM Inference via Future Intermediate Representation Prediction.

Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.

Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models.

Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.

Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

C-ICL: Contrastive In-context Learning for Information Extraction.

Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang, Jingang Wang, Zhoujun Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models.

Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning.

Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Minimal Distillation Schedule for Extreme Language Model Compression.

Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Task-agnostic Distillation of Encoder-Decoder Language Models.

Chen Zhang, Yang Yang, Qiuchi Li, Jingang Wang, Dawei Song

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.

Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism.

Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Graph-Structured Speculative Decoding.

Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning.

Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding.

Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation.

Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Frame-level steganalysis of QIM steganography in compressed speech based on multi-dimensional perspective of codeword correlations.

Miao Wei, Songbin Li, Peng Liu, Yongfeng Huang, Qiandong Yan, Jingang Wang, Cheng Zhang

J. Ambient Intell. Humaniz. Comput., July, 2023

Detection of Generative Linguistic Steganography Based on Explicit and Latent Text Word Relation Mining Using Deep Learning.

Songbin Li, Jingang Wang, Peng Liu

IEEE Trans. Dependable Secur. Comput., 2023

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration.

Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu

IEEE Trans. Circuits Syst. Video Technol., 2023

Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection.

Xiaoxu Hu, Xuetao Duan, Wei Zhang, Yameng Fu, Yongfu Li, Pengcheng Zhao, Xudong Deng, Chuanxiang Yu, Jingang Wang

Sensors, 2023

Research on Field Source Characteristics of Leakage Current of Arrester Based on TMR Sensor.

Yameng Fu, Tanxiao Li, Yongfu Li, Xiaoxu Hu, Xiping Jiang, Yiran Dong, Pengcheng Zhao, Chuanxiang Yu, Jingang Wang

Sensors, 2023

Maritime Radar Target Detection in Sea Clutter Based on CNN With Dual-Perspective Attention.

Jingang Wang, Songbin Li

IEEE Geosci. Remote. Sens. Lett., 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan

CoRR, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.

Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang

CoRR, 2023

Task-agnostic Distillation of Encoder-Decoder Language Models.

Chen Zhang, Yang Yang, Jingang Wang, Dawei Song

CoRR, 2023

Research and Experiment on Self-Decoupling Method for Non-Intrusive Measurement of Transmission Line Voltage.

Jiaquan Yang, Yang Yang, Xudong Zhang, Xiao Du, Qingyang Xie, Jingang Wang, Wei Zhang

IEEE Access, 2023

LUNA: Language as Continuing Anchors for Referring Expression Comprehension.

Yaoyuan Liang, Zhao Yang, Yansong Tang, Jiashuo Fan, Ziran Li, Jingang Wang, Philip H. S. Torr, Shao-Lun Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Sea Surface Object Detection Based on Background Dynamic Perception and Cross-Layer Semantic Interaction.

Songbin Li, Xiangzhi Yang, Jingang Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Improving the Accuracy of Jiles-Atherton Hysteresis Loop Cluster Simulations in Low Saturation Regions with Neural Networks.

Zeliang Shen, Jie Li, Jingang Wang

Proceedings of the 15th International Conference on Computer Modeling and Simulation, 2023

Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.

Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Speech Emotion Recognition Method Based on Cross-Layer Intersectant Fusion.

Kaiqiao Wang, Peng Liu, Songbin Li, Jingang Wang, Cheng Zhang

IAIC (2), 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.

Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.

Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.

Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cooperative Detection of Camouflaged Malicious TLS Traffic.

Jingang Wang, Tianyi He, Gaofeng He, Haiting Zhu, Bingfeng Xu, Lu Zhang

Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

Lifting the Curse of Capacity Gap in Distilling Language Models.

Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation.

Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue.

Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training.

Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.

Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.

Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Method of Calculating FVC and FEV1 Based on Integrated Transfer Impedance With Higher-Order Modified Parameter Matrix.

Yiming Zhang, Jingang Wang, Pengcheng Zhao, Yangtian Yan, Ruiqiang Zhang, Xiaojun Yan

IEEE Trans. Instrum. Meas., 2022

A Self-Decoupling Contactless Overvoltage Measurement Method Based on Optimization of Measuring Point.

Xiaojun Yan, Jingang Wang, Zeliang Shen, Pengcheng Zhao, Xiang Li, Qian Wang

IEEE Trans. Instrum. Meas., 2022

General Frame-Wise Steganalysis of Compressed Speech Based on Dual-Domain Representation and Intra-Frame Correlation Leaching.

Songbin Li, Jingang Wang, Peng Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Structure Design of Quadrilateral Overlapped Wireless Power Transmission Coupling Coil.

Xiaotian Wang, Changli Yu, Yuteng Wu, Jingang Wang

Sensors, 2022

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems.

Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu

CoRR, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.

Borun Chen, Hongyin Tang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu

CoRR, 2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression.

Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song

CoRR, 2022

Making Pre-trained Language Models Good Long-tailed Learners.

Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song

CoRR, 2022

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Passage Retrieval.

Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan

CoRR, 2022

Construction of spectral index based on multi-angle spectral data for estimating cotton leaf nitrogen concentration.

Jingang Wang, Haijiang Wang, Tian Tian, Jing Cui, Xiaoyan Shi, Jianghui Song, Tiansheng Li, Weidi Li, Mingtao Zhong, Wenxu Zhang

Comput. Electron. Agric., 2022

Deep Partial Multiplex Network Embedding.

Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Personalized Abstractive Opinion Tagging.

Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models.

Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Making Pretrained Language Models Good Long-tailed Learners.

Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.

Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning.

Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery.

Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XPrompt: Exploring the Extreme of Prompt Tuning.

Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval.

Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

VIRT: Improving Representation-based Text Matching via Virtual Interaction.

Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

One-Shot Detection of Malicious TLS Traffic.

Gaofeng He, Qianfeng Wei, Jingang Wang, Haiting Zhu, Bingfeng Xu

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Structural Bias for Aspect Sentiment Triplet Extraction.

Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generalized Intent Discovery: Learning from Open World Dialogue System.

Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.

Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Unified Knowledge Prompt Pre-training for Customer Service Dialogues.

Keqing He, Jingang Wang, Chaobo Sun, Wei Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification.

Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Analysis, Design, and Experiment of FVC Detection Device Using the Cross Four-Electrode Method.

Pengcheng Zhao, Jingang Wang, Zeliang Shen, Xiaojun Yan, Yiming Zhang, Yangtian Yan

IEEE Trans. Instrum. Meas., 2021

Design and Test of Contactless Overvoltage Sensor With Spherical Six-Electrode.

Xiaojun Yan, Jingang Wang, Pengcheng Zhao, Zeliang Shen, Xiang Li, Ruiqiang Zhang

IEEE Trans. Instrum. Meas., 2021

Detection of Multiple Steganography Methods in Compressed Speech Based on Code Element Embedding, Bi-LSTM and CNN With Attention Mechanisms.

Songbin Li, Jingang Wang, Peng Liu, Miao Wei, Qiandong Yan

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Evaluation of Electric Field Integral Voltage Measurement Method of Transmission Line Based on Error Transmission and Uncertainty Analysis.

Jiarui Fan, Cheng Ai, Aofei Guo, Xiaojun Yan, Jingang Wang

Sensors, 2021

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction.

Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen

CoRR, 2021

Estimating cotton leaf nitrogen by combining the bands sensitive to nitrogen concentration and oxidase activities using hyperspectral imaging.

Jingang Wang, Tian Tian, Haijiang Wang, Jing Cui, Yongqi Zhu, Wenxu Zhang, Xuanmeng Tong, Tianhang Zhou, Zhenkang Yang, Jiaqi Sun

Comput. Electron. Agric., 2021

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction.

Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.

Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Hybrid Discriminative Mixture Model for Cumulative Citation Recommendation.

Lerong Ma, Dandan Song, Lejian Liao, Jingang Wang

IEEE Trans. Knowl. Data Eng., 2020

Method and Experimental Study of Voltage Measurement Based on Electric Field Integral With Gauss-Legendre Algorithm.

Diancheng Si, Jingang Wang, Gang Wei, Xiaojun Yan

IEEE Trans. Instrum. Meas., 2020

Simulation and Test of a Contactless Voltage Measurement Method for Overhead Lines Based on Reconstruction of Integral Node Parameters.

Jingang Wang, Xiaojun Yan, Lu Zhong, Xiaobao Zhu

Sensors, 2020

An Improved Partial Discharge Detection System Based on UV Pulses Detection.

Zeliang Shen, Jingang Wang, Gang Wei

Sensors, 2020

Query-aware Tip Generation for Vertical Search.

Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Simulation, Design, and Test of a Dual-Differential D-Dot Overvoltage Sensor Based on the Field-Circuit Coupling Method.

Pengcheng Zhao, Jingang Wang, Qian Wang, Qianbo Xiao, Ruiqiang Zhang, Shucheng Ou, Yaqin Tao

Sensors, 2019

Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis.

Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang

CoRR, 2019

Research on Transmission Line Voltage Measurement Method Based on Improved Gaussian Integral.

Jingang Wang, Xiang Li, Shucheng Ou, Ruiqiang Zhang

IEEE Access, 2019

Evaluation on Partial Discharge Intensity of Electrical Equipment Based on Improved ANFIS and Ultraviolet Pulse Detection Technology.

Jingang Wang, Peiyuan Li, Xudong Deng, Na Li, Xi Xie, Hang Liu, Juan Tang

IEEE Access, 2019

Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis.

Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Research on Transmission Line Voltage Measurement Method of D-Dot Sensor Based on Gaussian Integral.

Jingang Wang, Yanhang Zhao, Wenjiang Li, Xianglong Zeng, Juan Tang, Yao Wang, Xudong Deng

Sensors, 2018

Research on the Algorithm and Test of Transmission Line Voltage Measurement Based on Electric Field Integral Method.

Jingang Wang, Lu Gao

IEEE Access, 2018

Alibaba's Neural Machine Translation Systems for WMT18.

Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang, Shenglan Wu, Liang Yao, Guchun Zhang, Haibo Zhang, Pei Zhang, Changfeng Zhu, Boxing Chen

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity.

Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang, Luo Si

Proceedings of the Advances in Information Retrieval, 2018

A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data.

Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Design and Experimental Study of a Current Transformer with a Stacked PCB Based on B-Dot.

Jingang Wang, Diancheng Si, Tian Tian, Ran Ren

Sensors, 2017

PSVM: a preference-enhanced SVM model using preference data for classification.

Lerong Ma, Dandan Song, Lejian Liao, Jingang Wang

Sci. China Inf. Sci., 2017

iNLP at the NTCIR-13 STC-2 Task.

Long Qiu, Jingang Wang, Sheng Li, Junfeng Tian, Jun Lang

Proceedings of the 13th NTCIR Conference, 2017

2016

Decomposition of Composite Electric Field in a Three-Phase D-Dot Voltage Transducer Measuring System.

Xueqi Hu, Jingang Wang, Gang Wei, Xudong Deng

Sensors, 2016

Supervised Local Contexts Aggregation for Effective Session Search.

Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si

Proceedings of the Advances in Information Retrieval, 2016

Cold Start Cumulative Citation Recommendation for Knowledge Base Acceleration.

Jingang Wang, Jingtian Jiang, Lejian Liao, Dandan Song, Zhiwei Zhang, Chin-Yew Lin

Proceedings of the Advances in Information Retrieval, 2016

2015

Design and Simulation Test of an Open D-Dot Voltage Sensor.

Yunjie Bai, Jingang Wang, Gang Wei, Yongming Yang

Sensors, 2015

Resorting Relevance Evidences to Cumulative Citation Recommendation for Knowledge Base Acceleration.

Jingang Wang, Lejian Liao, Dandan Song, Lerong Ma, Chin-Yew Lin, Yong Rui

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.

Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

LDTM: A Latent Document Type Model for Cumulative Citation Recommendation.

Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si, Chin-Yew Lin

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Design, Experiments and Simulation of Voltage Transformers on the Basis of a Differential Input D-dot Sensor.

Jingang Wang, Can Gao, Jie Yang

Sensors, 2014

BIT and Purdue at TREC-KBA-CCR Track 2014.

Jingang Wang, Ning Zhang, Zhiwei Zhang, Dandan Song, Luo Si, Lejian Liao

Proceedings of The Twenty-Third Text REtrieval Conference, 2014

2013

BIT and MSRA at TREC KBA CCR Track 2013.

Jingang Wang, Dandan Song, Lejian Liao, Chin-Yew Lin

Proceedings of The Twenty-Second Text REtrieval Conference, 2013

A Self-healing Framework for QoS-Aware Web Service Composition via Case-Based Reasoning.

Guoqiang Li, Lejian Liao, Dandan Song, Jingang Wang, Fuzhen Sun, Guangcheng Liang

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

The Chinese Bag-of-Opinions Method for Hot-Topic-Oriented Sentiment Analysis on Weibo.

Jingang Wang, Dandan Song, Lejian Liao, Wei Zou, Xiaoqing Yan, Yi Su

Proceedings of the Semantic Web and Web Science, 2012

2009

An Object-Based Path Planning Using Grids-Potential Fields for Intelligent Robot.

Yuehai Wang, Jingang Wang, Shuting Yin

Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009