Jing Bai

According to our database, Jing Bai authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models.

Shengrui Li, Xueting Han, Jing Bai

CoRR, 2024

Parameter-efficient is not Sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions.

Dongshuo Yin, Xueting Han, Bin Li, Hao Feng, Jing Bai

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs.

Shengrui Li, Xueting Han, Jing Bai

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

2023

AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks.

Shengrui Li, Xueting Han, Jing Bai

CoRR, 2023

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs.

Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.

Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps.

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Creating Training Sets via Weak Indirect Supervision.

Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner

Proceedings of the Tenth International Conference on Learning Representations, 2022

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation.

Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Graph Pointer Neural Networks.

Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation.

Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

CoRR, 2021

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation.

Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King

CoRR, 2021

Adaptive Transfer Learning on Graph Neural Networks.

Xueting Han, Zhenhuan Huang, Bang An, Jing Bai

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Evolving Attention with Residual Convolutions.

Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

Proceedings of the 38th International Conference on Machine Learning, 2021

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees.

Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Improving BERT with Self-Supervised Attention.

Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai

CoRR, 2020

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting.

Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multivariate Time-series Anomaly Detection via Graph Attention Network.

Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.

Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the 28th International Conference on Computational Linguistics, 2020

AutoADR: Automatic Model Design for Ad Relevance.

Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang

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

TextNAS: A Neural Architecture Search Space Tailored for Text Representation.

Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application.

Bitan Hou, Yujing Wang, Ming Zeng, Shan Jiang, Ole J. Mengshoel, Yunhai Tong, Jing Bai

CoRR, 2019