Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application. - Bitan Hou; Yujing Wang; Ming Zeng 009; Shan Jiang; Ole J. Mengshoel; Yunhai Tong; Jing Bai 010 (CoRR, 2019)

TextNAS: A Neural Architecture Search Space Tailored for Text Representation. - Yujing Wang; Yaming Yang 001; Yiren Chen; Jing Bai 010; Ce Zhang 001; Guinan Su; Xiaoyu Kou; Yunhai Tong; Mao Yang 004; Lidong Zhou (AAAI, 2020)

AutoADR: Automatic Model Design for Ad Relevance. - Yiren Chen; Yaming Yang 001; Hong Sun; Yujing Wang; Yu Xu; Wei Shen; Rong Zhou; Yunhai Tong; Jing Bai 010; Ruofei Zhang (CIKM, 2020)

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. - Yihuan Mao; Yujing Wang; Chufan Wu; Chen Zhang 001; Yang Wang 053; Quanlu Zhang; Yaming Yang 001; Yunhai Tong; Jing Bai 010 (COLING, 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 010; Jie Tong; Qi Zhang 066 (ICDM, 2020)

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. - Defu Cao; Yujing Wang; Juanyong Duan; Ce Zhang 001; Xia Zhu; Congrui Huang; Yunhai Tong; Bixiong Xu; Jing Bai 010; Jie Tong; Qi Zhang 066 (NeurIPS, 2020)

Improving BERT with Self-Supervised Attention. - Xiaoyu Kou; Yaming Yang 001; Yujing Wang; Ce Zhang 001; Yiren Chen; Yunhai Tong; Yan Zhang 004; Jing Bai 010 (CoRR, 2020)

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. - Jiangang Bai; Yujing Wang; Yiren Chen; Yaming Yang 001; Jing Bai 010; Jing Yu 007; Yunhai Tong (EACL, 2021)

Evolving Attention with Residual Convolutions. - Yujing Wang; Yaming Yang 001; Jiangang Bai; Mingliang Zhang 004; Jing Bai 010; Jing Yu 007; Ce Zhang 001; Gao Huang 001; Yunhai Tong (ICML, 2021)

Adaptive Transfer Learning on Graph Neural Networks. - Xueting Han; Zhenhuan Huang; Bang An; Jing Bai 010 (KDD, 2021)

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. - Yankai Chen 001; Yaming Yang 001; Yujing Wang; Jing Bai 010; Xiangchen Song; Irwin King (CoRR, 2021)

Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. - Jiayan Guo; Yaming Yang 001; Xiangchen Song; Yuan Zhang 024; Yujing Wang; Jing Bai 010; Yan Zhang 004 (CoRR, 2021)

Graph Pointer Neural Networks. - Tianmeng Yang; Yujing Wang; Zhihan Yue; Yaming Yang 001; Yunhai Tong; Jing Bai 010 (AAAI, 2022)

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. - Yankai Chen 001; Yaming Yang 001; Yujing Wang; Jing Bai 010; Xiangchen Song; Irwin King (ICDE, 2022)

Creating Training Sets via Weak Indirect Supervision. - Jieyu Zhang 001; Bohan Wang; Xiangchen Song; Yujing Wang; Yaming Yang 001; Jing Bai 010; Alexander Ratner (ICLR, 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 004; Yunhai Tong; Yaming Yang 001; Jing Bai 010; Ruofei Zhang; et al. (NAACL-HLT, 2022)

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. - Jiayan Guo; Yaming Yang 001; Xiangchen Song; Yuan Zhang 024; Yujing Wang; Jing Bai 010; Yan Zhang 004 (WSDM, 2022)

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. - Haozhen Zhang; Xueting Han; Xi Xiao; Jing Bai 010 (CIKM, 2023)

AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks. - Shengrui Li; Xueting Han; Jing Bai 010 (CoRR, 2023)

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs. - Shengrui Li; Xueting Han; Jing Bai 010 (AAAI, 2024)

Parameter-efficient is not Sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions. - Dongshuo Yin; Xueting Han; Bin Li 038; Hao Feng; Jing Bai 010 (ACM Multimedia, 2024)

NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models. - Shengrui Li; Xueting Han; Jing Bai 010 (CoRR, 2024)