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ORCIDJing Bai 0010
Person information
- affiliation: Microsoft Research Asia, Beijing, China
Other persons with the same name
- Jing Bai (aka: Bai Jing) — disambiguation page
- Jing Bai 0001 — Tsinghua University, Department of Biomedical Engineering, China (and 1 more)
- Jing Bai 0002
![[0000-0002-8649-6064]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8649-6064")
— University of Science and Technology, School of Mathematics and Physics, Beijing, China (and 1 more) - Jing Bai 0003 — Xidian University, School of Artificial Intelligence, Joint International Research Laboratory of Intelligent Perception and Computation, Xi'an, China (and 1 more)
- Jing Bai 0004 — Beifang University of Nationalities, Yinchuan, China (and 1 more)
- Jing Bai 0005 — University of Montreal, DIRO, QC, Canada
- Jing Bai 0006 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Jing Bai 0007 — Beihua University, College of Electrical and Information Engineering, Jilin, China
- Jing Bai 0008 — Xidian University, School of Telecommunication Engineering, Collaborative Innovation Center of Information Sensing and Understanding, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Jing Bai 0009 — Beijing Jiaotong University, Key Laboratory of Security and Privacy in Intelligent Transportation, China
- Jing Bai 0011 — Donghua University, School of Computer Science and Technology, Shanghai, China (and 1 more)
- Jing Bai 0012 — Ibaraki University, Department of Computer and Information Sciences, Hitachi, Japan
- Jing Bai 0013 — Northwestern Polytechnical University, School of Mechanical Engineering, China
- Jing Bai 0014 — Harbin Medical University, College of Bioinformatics Science and Technology, China
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2020 – today
- 2024
[c16]Shengrui Li, Xueting Han, Jing Bai:
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs. AAAI 2024: 13600-13608- [c15]Dongshuo Yin, Xueting Han, Bin Li, Hao Feng, Jing Bai:
Parameter-efficient is not Sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions. ACM Multimedia 2024: 1398-1406 - [i18]Shengrui Li, Xueting Han, Jing Bai:
NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models. CoRR abs/2402.09773 (2024) - 2023
- [c14]Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai:
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. CIKM 2023: 3288-3297 - [i17]Shengrui Li, Xueting Han, Jing Bai:
AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks. CoRR abs/2304.09595 (2023) - [i16]Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai:
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. CoRR abs/2306.07699 (2023) - [i15]Dongshuo Yin, Xueting Han, Bin Li, Hao Feng, Jing Bai:
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions. CoRR abs/2306.09729 (2023) - 2022
- [c13]Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai:
Graph Pointer Neural Networks. AAAI 2022: 8832-8839 - [c12]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE 2022: 299-311 - [c11]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. ICLR 2022 - [c10]Jiangang Bai, Yujing Wang, Hong Sun, Ruonan Wu, Tianmeng Yang, Pengfei Tang, Defu Cao, Mingliang Zhang, Yunhai Tong, Yaming Yang, Jing Bai, Ruofei Zhang, Hao Sun, Wei Shen:
Enhancing Self-Attention with Knowledge-Assisted Attention Maps. NAACL-HLT 2022: 107-115 - [c9]Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang:
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. WSDM 2022: 343-352 - 2021
- [c8]Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong:
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. EACL 2021: 3011-3020 - [c7]Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Evolving Attention with Residual Convolutions. ICML 2021: 10971-10980 - [c6]Xueting Han, Zhenhuan Huang, Bang An, Jing Bai:
Adaptive Transfer Learning on Graph Neural Networks. KDD 2021: 565-574 - [i14]Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Evolving Attention with Residual Convolutions. CoRR abs/2102.12895 (2021) - [i13]Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong:
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. CoRR abs/2103.04350 (2021) - [i12]Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang:
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. CoRR abs/2103.07719 (2021) - [i11]Xueting Han, Zhenhuan Huang, Bang An, Jing Bai:
Adaptive Transfer Learning on Graph Neural Networks. CoRR abs/2107.08765 (2021) - [i10]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR abs/2109.02046 (2021) - [i9]Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai:
Graph Pointer Neural Networks. CoRR abs/2110.00973 (2021) - [i8]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. CoRR abs/2110.03484 (2021) - [i7]Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang:
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. CoRR abs/2112.13197 (2021) - 2020
- [c5]Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou:
TextNAS: A Neural Architecture Search Space Tailored for Text Representation. AAAI 2020: 9242-9249 - [c4]Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang:
AutoADR: Automatic Model Design for Ad Relevance. CIKM 2020: 2365-2372 - [c3]Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai:
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. COLING 2020: 3225-3234 - [c2]Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang:
Multivariate Time-series Anomaly Detection via Graph Attention Network. ICDM 2020: 841-850 - [c1]Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang:
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. NeurIPS 2020 - [i6]Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai:
Improving BERT with Self-Supervised Attention. CoRR abs/2004.03808 (2020) - [i5]Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai:
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. CoRR abs/2004.04124 (2020) - [i4]Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang:
Multivariate Time-series Anomaly Detection via Graph Attention Network. CoRR abs/2009.02040 (2020) - [i3]Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang:
AutoADR: Automatic Model Design for Ad Relevance. CoRR abs/2010.07075 (2020)
2010 – 2019
- 2019
- [i2]Bitan Hou, Yujing Wang, Ming Zeng, Shan Jiang, Ole J. Mengshoel, Yunhai Tong, Jing Bai:
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application. CoRR abs/1911.09454 (2019) - [i1]Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou:
TextNAS: A Neural Architecture Search Space tailored for Text Representation. CoRR abs/1912.10729 (2019)
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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