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ORCIDJingang Wang
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2020 – today
- 2024
[j41]Hu Zhou, Xuan Jian, Shuang Chen, Xin Li, Wei He, Pei Huang, Wei Chen, Jiawei Luo, Xin Zhang, Bingquan Li, Jingang Wang
, Xuetao Duan:
Leakage Current De-Disturbance Method for Distribution Network Type Surge Arrester Based on EEMD-SVD and Low-Rank RBF Neural Network. IEEE Access 12: 52097-52109 (2024)- [j40]Jianghui Song, Xiaoyan Shi, Haijiang Wang, Xin Lv, Wenxu Zhang, Jingang Wang, Tiansheng Li, Weidi Li:
Combination of feature selection and geographical stratification increases the soil total nitrogen estimation accuracy based on vis-NIR and pXRF spectral fusion. Comput. Electron. Agric. 218: 108636 (2024) - [j39]Jingang Wang, Ke Shi, Songbin Li:
Two-Stage Collaborative Sea Clutter Suppression Based on Subregion Gazing and Reconstruction. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j38]Jinhu Tian, Yu Xu, Yang Yang, Yingchun Zhao, Wei Man, Jingang Wang:
Research on Residual-Current Measurement System of Substation Considering Magnetic Shielding Effect. Sensors 24(2): 632 (2024) - [j37]Yapeng Zhang, Chengxin Song, Wei He, Qian Zhang, Pengcheng Zhao, Jingang Wang:
Regional Pulmonary Ventilation Assessment Method and System Based on Impedance Sensing Information from the Pentapulmonary Lobes. Sensors 24(10): 3202 (2024) - [j36]Wei Bai, Lan Xiong, Yubei Liao, Zhengyang Tan, Jingang Wang, Zhanlong Zhang:
Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction. Sensors 24(18): 6057 (2024) - [j35]Songbin Li, Jingang Wang, Peng Liu, Ke Shi:
SANet: A Compressed Speech Encoder and Steganography Algorithm Independent Steganalysis Deep Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. 32: 680-690 (2024) - [j34]Ying Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu, Zhoujun Li:
Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4171-4183 (2024) - [j33]Quan Gan, Zhixing Ge, Xiaoduo Wang, Songchen Dai, Na Li, Jingang Wang, Lianqing Liu, Haibo Yu:
Stiffness-Tunable Substrate Fabrication by DMD-Based Optical Projection Lithography for Cancer Cell Invasion Studies. IEEE Trans. Biomed. Eng. 71(7): 2201-2210 (2024) - [j32]Jingang Wang, Songbin Li:
Maritime Radar Target Detection Model Self-Evolution Based on Semisupervised Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [c70]Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang:
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. AAAI 2024: 3324-3332 - [c69]Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation. AAAI 2024: 18082-18089 - [c68]Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li:
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. AAAI 2024: 18789-18797 - [c67]Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai:
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. ACL (Findings) 2024: 3027-3043 - [c66]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721 - [c65]Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Graph-Structured Speculative Decoding. ACL (Findings) 2024: 11404-11415 - [c64]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING 2024: 2354-2364 - [c63]Chen Zhang, Yang Yang, Qiuchi Li, Jingang Wang, Dawei Song:
Task-agnostic Distillation of Encoder-Decoder Language Models. LREC/COLING 2024: 15629-15639 - [c62]Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song:
Minimal Distillation Schedule for Extreme Language Model Compression. EACL (Findings) 2024: 1378-1394 - [c61]Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding:
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. EMNLP (Findings) 2024: 1396-1409 - [c60]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. EMNLP (Findings) 2024: 1491-1505 - [c59]Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu:
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models. EMNLP 2024: 4667-4682 - [c58]Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. EMNLP 2024: 5583-5595 - [c57]Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang, Jingang Wang, Zhoujun Li:
C-ICL: Contrastive In-context Learning for Information Extraction. EMNLP (Findings) 2024: 10099-10114 - [c56]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:
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 2024: 14027-14043 - [c55]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
FIRP: Faster LLM Inference via Future Intermediate Representation Prediction. NLPCC (3) 2024: 158-169 - [i52]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024) - [i51]Ying Mo, Jian Yang, Jiahao Liu, Shun Zhang, Jingang Wang, Zhoujun Li:
C-ICL: Contrastive In-context Learning for Information Extraction. CoRR abs/2402.11254 (2024) - [i50]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR abs/2402.17256 (2024) - [i49]Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation. CoRR abs/2403.06408 (2024) - [i48]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration. CoRR abs/2404.12022 (2024) - [i47]Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai:
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. CoRR abs/2406.03853 (2024) - [i46]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR abs/2406.06839 (2024) - [i45]Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong:
Rethinking LLM-based Preference Evaluation. CoRR abs/2407.01085 (2024) - [i44]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:
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR abs/2407.06153 (2024) - [i43]Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Graph-Structured Speculative Decoding. CoRR abs/2407.16207 (2024) - [i42]Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu:
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. CoRR abs/2408.02632 (2024) - [i41]Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao:
ReMamba: Equip Mamba with Effective Long-Sequence Modeling. CoRR abs/2408.15496 (2024) - [i40]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:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024) - [i39]Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun Xu, Xuezhi Cao, Jingang Wang, Xunliang Cai:
Length Desensitization in Directed Preference Optimization. CoRR abs/2409.06411 (2024) - [i38]Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, Jingbo Zhu:
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-context Models. CoRR abs/2410.04727 (2024) - [i37]Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. CoRR abs/2410.05661 (2024) - [i36]Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding:
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. CoRR abs/2410.07074 (2024) - [i35]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
FIRP: Faster LLM inference via future intermediate representation prediction. CoRR abs/2410.20488 (2024) - [i34]Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Shaoqing Zhang, Muling Wu, Changze Lv, Limao Xiong, Wenyu Zhan, Lin Zhang, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Rui Zheng, Tao Ji, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Multi-Programming Language Sandbox for LLMs. CoRR abs/2410.23074 (2024) - 2023
- [j31]Jiaquan Yang, Yang Yang, Xudong Zhang, Xiao Du, Qingyang Xie, Jingang Wang, Wei Zhang:
Research and Experiment on Self-Decoupling Method for Non-Intrusive Measurement of Transmission Line Voltage. IEEE Access 11: 66279-66288 (2023) - [j30]Miao Wei, Songbin Li, Peng Liu, Yongfeng Huang, Qiandong Yan, Jingang Wang, Cheng Zhang:
Frame-level steganalysis of QIM steganography in compressed speech based on multi-dimensional perspective of codeword correlations. J. Ambient Intell. Humaniz. Comput. 14(7): 8421-8431 (2023) - [j29]Jingang Wang, Songbin Li:
Maritime Radar Target Detection in Sea Clutter Based on CNN With Dual-Perspective Attention. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j28]Yameng Fu, Tanxiao Li, Yongfu Li, Xiaoxu Hu, Xiping Jiang, Yiran Dong, Pengcheng Zhao, Chuanxiang Yu, Jingang Wang:
Research on Field Source Characteristics of Leakage Current of Arrester Based on TMR Sensor. Sensors 23(8): 3830 (2023) - [j27]Xiaoxu Hu, Xuetao Duan, Wei Zhang, Yameng Fu, Yongfu Li, Pengcheng Zhao, Xudong Deng, Chuanxiang Yu, Jingang Wang:
Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection. Sensors 23(10): 4749 (2023) - [j26]Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu:
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration. IEEE Trans. Circuits Syst. Video Technol. 33(1): 393-406 (2023) - [j25]Songbin Li, Jingang Wang, Peng Liu:
Detection of Generative Linguistic Steganography Based on Explicit and Latent Text Word Relation Mining Using Deep Learning. IEEE Trans. Dependable Secur. Comput. 20(2): 1476-1487 (2023) - [c54]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c53]Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song:
Lifting the Curse of Capacity Gap in Distilling Language Models. ACL (1) 2023: 4535-4553 - [c52]Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian:
Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) 2023: 5105-5119 - [c51]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) 2023: 6532-6546 - [c50]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. ACL (Findings) 2023: 8065-8079 - [c49]Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu:
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) 2023: 9661-9675 - [c48]Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu:
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) 2023: 9978-9991 - [c47]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan:
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. ACL (1) 2023: 13785-13802 - [c46]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) 2023: 14179-14196 - [c45]Jingang Wang, Tianyi He, Gaofeng He, Haiting Zhu, Bingfeng Xu, Lu Zhang:
Cooperative Detection of Camouflaged Malicious TLS Traffic. CBD 2023: 116-121 - [c44]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) 2023: 3926-3939 - [c43]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan:
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. EMNLP (Findings) 2023: 8643-8657 - [c42]Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu:
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP 2023: 9147-9160 - [c41]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP 2023: 10291-10304 - [c40]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Improving Input-label Mapping with Demonstration Replay for In-context Learning. EMNLP (Findings) 2023: 14923-14934 - [c39]Kaiqiao Wang, Peng Liu, Songbin Li, Jingang Wang, Cheng Zhang:
Speech Emotion Recognition Method Based on Cross-Layer Intersectant Fusion. IAIC (2) 2023: 271-285 - [c38]Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li:
Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition. ICASSP 2023: 1-5 - [c37]Zeliang Shen, Jie Li, Jingang Wang:
Improving the Accuracy of Jiles-Atherton Hysteresis Loop Cluster Simulations in Low Saturation Regions with Neural Networks. ICCMS 2023: 252-258 - [c36]Songbin Li, Xiangzhi Yang, Jingang Wang:
Sea Surface Object Detection Based on Background Dynamic Perception and Cross-Layer Semantic Interaction. ICME 2023: 72-77 - [c35]Yaoyuan Liang, Zhao Yang, Yansong Tang, Jiashuo Fan, Ziran Li, Jingang Wang, Philip H. S. Torr, Shao-Lun Huang:
LUNA: Language as Continuing Anchors for Referring Expression Comprehension. ACM Multimedia 2023: 5174-5184 - [i33]Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li:
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition. CoRR abs/2303.10870 (2023) - [i32]Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song:
Lifting the Curse of Capacity Gap in Distilling Language Models. CoRR abs/2305.12129 (2023) - [i31]Chen Zhang, Yang Yang, Jingang Wang, Dawei Song:
Task-agnostic Distillation of Encoder-Decoder Language Models. CoRR abs/2305.12330 (2023) - [i30]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan:
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. CoRR abs/2305.16726 (2023) - [i29]Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu:
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR abs/2305.17699 (2023) - [i28]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. CoRR abs/2306.00014 (2023) - [i27]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:
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. CoRR abs/2306.06629 (2023) - [i26]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR abs/2306.10315 (2023) - [i25]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR abs/2306.10317 (2023) - [i24]Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li:
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning. CoRR abs/2308.09073 (2023) - [i23]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR abs/2310.10176 (2023) - [i22]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR abs/2310.13380 (2023) - [i21]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan:
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. CoRR abs/2310.15594 (2023) - [i20]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Improving Input-label Mapping with Demonstration Replay for In-context Learning. CoRR abs/2310.19572 (2023) - 2022
- [j24]Jingang Wang, Haijiang Wang, Tian Tian, Jing Cui, Xiaoyan Shi, Jianghui Song, Tiansheng Li, Weidi Li, Mingtao Zhong, Wenxu Zhang:
Construction of spectral index based on multi-angle spectral data for estimating cotton leaf nitrogen concentration. Comput. Electron. Agric. 201: 107328 (2022) - [j23]Xiaotian Wang, Changli Yu, Yuteng Wu, Jingang Wang:
Structure Design of Quadrilateral Overlapped Wireless Power Transmission Coupling Coil. Sensors 22(16): 5955 (2022) - [j22]Songbin Li, Jingang Wang, Peng Liu:
General Frame-Wise Steganalysis of Compressed Speech Based on Dual-Domain Representation and Intra-Frame Correlation Leaching. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2025-2035 (2022) - [j21]Xiaojun Yan, Jingang Wang, Zeliang Shen, Pengcheng Zhao, Xiang Li, Qian Wang:
A Self-Decoupling Contactless Overvoltage Measurement Method Based on Optimization of Measuring Point. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j20]Yiming Zhang, Jingang Wang, Pengcheng Zhao, Yangtian Yan, Ruiqiang Zhang, Xiaojun Yan:
Method of Calculating FVC and FEV1 Based on Integrated Transfer Impedance With Higher-Order Modified Parameter Matrix. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [c34]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. ACL (1) 2022: 2225-2240 - [c33]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CIKM 2022: 4009-4013 - [c32]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. COLING 2022: 707-720 - [c31]Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu:
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. COLING 2022: 3098-3108 - [c30]Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song:
Structural Bias for Aspect Sentiment Triplet Extraction. COLING 2022: 6736-6745 - [c29]Gaofeng He, Qianfeng Wei, Jingang Wang, Haiting Zhu, Bingfeng Xu:
One-Shot Detection of Malicious TLS Traffic. CSCWD 2022: 145-150 - [c28]Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma:
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) 2022: 263-276 - [c27]Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan:
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval. EMNLP (Findings) 2022: 564-575 - [c26]Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Text Matching via Virtual Interaction. EMNLP 2022: 914-925 - [c25]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP 2022: 1517-1529 - [c24]Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song:
Making Pretrained Language Models Good Long-tailed Learners. EMNLP 2022: 3298-3312 - [c23]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP 2022: 7317-7325 - [c22]Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song:
XPrompt: Exploring the Extreme of Prompt Tuning. EMNLP 2022: 11033-11047 - [c21]Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu:
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. NeurIPS 2022 - [c20]Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Personalized Abstractive Opinion Tagging. SIGIR 2022: 1066-1076 - [c19]Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu:
Deep Partial Multiplex Network Embedding. WWW (Companion Volume) 2022: 1053-1062 - [i19]Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu:
Deep Partial Multiplex Network Embedding. CoRR abs/2203.02656 (2022) - [i18]Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan:
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Passage Retrieval. CoRR abs/2204.08241 (2022) - [i17]Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song:
Making Pre-trained Language Models Good Long-tailed Learners. CoRR abs/2205.05461 (2022) - [i16]Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song:
AutoDisc: Automatic Distillation Schedule for Large Language Model Compression. CoRR abs/2205.14570 (2022) - [i15]Borun Chen, Hongyin Tang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu:
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. CoRR abs/2208.10844 (2022) - [i14]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CoRR abs/2208.14652 (2022) - [i13]Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song:
Structural Bias for Aspect Sentiment Triplet Extraction. CoRR abs/2209.00820 (2022) - [i12]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR abs/2209.06030 (2022) - [i11]Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song:
XPrompt: Exploring the Extreme of Prompt Tuning. CoRR abs/2210.04457 (2022) - [i10]Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu:
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR abs/2210.08873 (2022) - [i9]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR abs/2210.08909 (2022) - [i8]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR abs/2210.10722 (2022) - [i7]Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu:
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration. CoRR abs/2212.07592 (2022) - 2021
- [j19]Jingang Wang, Tian Tian, Haijiang Wang, Jing Cui, Yongqi Zhu, Wenxu Zhang, Xuanmeng Tong, Tianhang Zhou, Zhenkang Yang, Jiaqi Sun:
Estimating cotton leaf nitrogen by combining the bands sensitive to nitrogen concentration and oxidase activities using hyperspectral imaging. Comput. Electron. Agric. 189: 106390 (2021) - [j18]Jiarui Fan, Cheng Ai, Aofei Guo, Xiaojun Yan, Jingang Wang:
Evaluation of Electric Field Integral Voltage Measurement Method of Transmission Line Based on Error Transmission and Uncertainty Analysis. Sensors 21(13): 4340 (2021) - [j17]Songbin Li, Jingang Wang, Peng Liu, Miao Wei, Qiandong Yan:
Detection of Multiple Steganography Methods in Compressed Speech Based on Code Element Embedding, Bi-LSTM and CNN With Attention Mechanisms. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1556-1569 (2021) - [j16]Xiaojun Yan, Jingang Wang, Pengcheng Zhao, Zeliang Shen, Xiang Li, Ruiqiang Zhang:
Design and Test of Contactless Overvoltage Sensor With Spherical Six-Electrode. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j15]Pengcheng Zhao, Jingang Wang, Zeliang Shen, Xiaojun Yan, Yiming Zhang, Yangtian Yan:
Analysis, Design, and Experiment of FVC Detection Device Using the Cross Four-Electrode Method. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c18]Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu:
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. ACL/IJCNLP (1) 2021: 5054-5064 - [c17]Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu:
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction. NAACL-HLT 2021: 2069-2079 - [i6]Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu:
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction. CoRR abs/2103.06605 (2021) - [i5]Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu:
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. CoRR abs/2105.03599 (2021) - [i4]Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction. CoRR abs/2112.04195 (2021) - 2020
- [j14]Jingang Wang, Xiaojun Yan, Lu Zhong, Xiaobao Zhu:
Simulation and Test of a Contactless Voltage Measurement Method for Overhead Lines Based on Reconstruction of Integral Node Parameters. Sensors 20(1): 246 (2020) - [j13]Zeliang Shen, Jingang Wang, Gang Wei:
An Improved Partial Discharge Detection System Based on UV Pulses Detection. Sensors 20(17): 4767 (2020) - [j12]Diancheng Si, Jingang Wang, Gang Wei, Xiaojun Yan:
Method and Experimental Study of Voltage Measurement Based on Electric Field Integral With Gauss-Legendre Algorithm. IEEE Trans. Instrum. Meas. 69(6): 2771-2778 (2020) - [j11]Lerong Ma, Dandan Song, Lejian Liao, Jingang Wang:
A Hybrid Discriminative Mixture Model for Cumulative Citation Recommendation. IEEE Trans. Knowl. Data Eng. 32(4): 617-630 (2020) - [c16]Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang:
Query-aware Tip Generation for Vertical Search. CIKM 2020: 2893-2900 - [i3]Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang:
Query-aware Tip Generation for Vertical Search. CoRR abs/2010.09254 (2020)
2010 – 2019
- 2019
- [j10]Jingang Wang, Xiang Li, Shucheng Ou, Ruiqiang Zhang:
Research on Transmission Line Voltage Measurement Method Based on Improved Gaussian Integral. IEEE Access 7: 73711-73718 (2019) - [j9]Jingang Wang, Peiyuan Li, Xudong Deng, Na Li, Xi Xie, Hang Liu, Juan Tang:
Evaluation on Partial Discharge Intensity of Electrical Equipment Based on Improved ANFIS and Ultraviolet Pulse Detection Technology. IEEE Access 7: 126561-126570 (2019) - [j8]Pengcheng Zhao, Jingang Wang, Qian Wang, Qianbo Xiao, Ruiqiang Zhang, Shucheng Ou, Yaqin Tao:
Simulation, Design, and Test of a Dual-Differential D-Dot Overvoltage Sensor Based on the Field-Circuit Coupling Method. Sensors 19(15): 3413 (2019) - [c15]Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang:
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis. IJCAI 2019: 5313-5319 - [i2]Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang:
Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis. CoRR abs/1905.07719 (2019) - 2018
- [j7]Jingang Wang, Lu Gao:
Research on the Algorithm and Test of Transmission Line Voltage Measurement Based on Electric Field Integral Method. IEEE Access 6: 72766-72773 (2018) - [j6]Jingang Wang, Yanhang Zhao, Wenjiang Li, Xianglong Zeng, Juan Tang, Yao Wang, Xudong Deng:
Research on Transmission Line Voltage Measurement Method of D-Dot Sensor Based on Gaussian Integral. Sensors 18(8): 2455 (2018) - [c14]Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan:
A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. AAAI 2018: 451-458 - [c13]Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang, Luo Si:
An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity. ECIR 2018: 89-101 - [c12]Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang, Shenglan Wu, Liang Yao, Guchun Zhang, Haibo Zhang, Pei Zhang, Changfeng Zhu, Boxing Chen:
Alibaba's Neural Machine Translation Systems for WMT18. WMT (shared task) 2018: 368-376 - [i1]Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan:
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data. CoRR abs/1801.01725 (2018) - 2017
- [j5]Lerong Ma, Dandan Song, Lejian Liao, Jingang Wang:
PSVM: a preference-enhanced SVM model using preference data for classification. Sci. China Inf. Sci. 60(12): 122103:1-122103:14 (2017) - [j4]Jingang Wang, Diancheng Si, Tian Tian, Ran Ren:
Design and Experimental Study of a Current Transformer with a Stacked PCB Based on B-Dot. Sensors 17(4): 820 (2017) - [c11]Long Qiu, Jingang Wang, Sheng Li, Junfeng Tian, Jun Lang:
iNLP at the NTCIR-13 STC-2 Task. NTCIR 2017 - 2016
- [j3]Xueqi Hu, Jingang Wang, Gang Wei, Xudong Deng:
Decomposition of Composite Electric Field in a Three-Phase D-Dot Voltage Transducer Measuring System. Sensors 16(10): 1683 (2016) - [c10]Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si:
Supervised Local Contexts Aggregation for Effective Session Search. ECIR 2016: 58-71 - [c9]Jingang Wang, Jingtian Jiang, Lejian Liao, Dandan Song, Zhiwei Zhang, Chin-Yew Lin:
Cold Start Cumulative Citation Recommendation for Knowledge Base Acceleration. ECIR 2016: 748-753 - 2015
- [j2]Yunjie Bai, Jingang Wang, Gang Wei, Yongming Yang:
Design and Simulation Test of an Open D-Dot Voltage Sensor. Sensors 15(9): 23640-23652 (2015) - [c8]Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si, Chin-Yew Lin:
LDTM: A Latent Document Type Model for Cumulative Citation Recommendation. EMNLP 2015: 561-566 - [c7]Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin:
An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation. SIGIR 2015: 635-644 - [c6]Jingang Wang, Lejian Liao, Dandan Song, Lerong Ma, Chin-Yew Lin, Yong Rui:
Resorting Relevance Evidences to Cumulative Citation Recommendation for Knowledge Base Acceleration. WAIM 2015: 169-180 - 2014
- [j1]Jingang Wang, Can Gao, Jie Yang:
Design, Experiments and Simulation of Voltage Transformers on the Basis of a Differential Input D-dot Sensor. Sensors 14(7): 12771-12783 (2014) - [c5]Jingang Wang, Ning Zhang, Zhiwei Zhang, Dandan Song, Luo Si, Lejian Liao:
BIT and Purdue at TREC-KBA-CCR Track 2014. TREC 2014 - 2013
- [c4]Guoqiang Li, Lejian Liao, Dandan Song, Jingang Wang, Fuzhen Sun, Guangcheng Liang:
A Self-healing Framework for QoS-Aware Web Service Composition via Case-Based Reasoning. APWeb 2013: 654-661 - [c3]Jingang Wang, Dandan Song, Lejian Liao, Chin-Yew Lin:
BIT and MSRA at TREC KBA CCR Track 2013. TREC 2013 - 2012
- [c2]Jingang Wang, Dandan Song, Lejian Liao, Wei Zou, Xiaoqing Yan, Yi Su:
The Chinese Bag-of-Opinions Method for Hot-Topic-Oriented Sentiment Analysis on Weibo. CSWS 2012: 357-367
2000 – 2009
- 2009
- [c1]Yuehai Wang, Jingang Wang, Shuting Yin:
An Object-Based Path Planning Using Grids-Potential Fields for Intelligent Robot. WGEC 2009: 150-153
Coauthor Index
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