柏静｜山东师范大学｜学者主页

2026

PVSTrans: Patch-view-shape progressive interaction transformer for 3D shape recognition

Xiangyu Ma, Jing Bai, Zenghui Su, Yubin Wang

Information Processing & Management，Vol. 63, No. 1

DOI

2026

LatentRevise: Learning from Zero-Hit Reasoning

Yi-Qiu Guo, Xueting Han, Qi Jia, Guang-Tao Zhai, Jing Bai

arXiv.org

DOI

2025

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification

Yiyang Jin, Kunzhao Xu, Han Li, Xueting Han, Yan-Min Zhou, Cheng Li, Jing Bai

2025

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget

Liang Chen, Xueting Han, Qi-Zhou Wang, Bo Han, Jing Bai, Hinrich Schütze, Kam-Fai Wong

arXiv.org

DOI

2025

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning

Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong

International Conference on Machine Learning

DOI

2025

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning

Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong

arXiv.org

DOI

2025

Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks

Tianlong Wang, Jun-Zhe Chen, Weibin Liao, Xueting Han, Jing Bai

Conference on Empirical Methods in Natural Language Processing

DOI

2024

CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks

Tianlong Wang, Jun-Zhe Chen, Xueting Han, Jing Bai

arXiv.org

DOI

2024

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

Sheng-Rui Li, Jun-Zhe Chen, Xueting Han, Jing Bai

arXiv.org

DOI

2023

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

Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai

International Conference on Information and Knowledge Management

DOI

2023

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

Sheng-Rui Li, Xueting Han, Jing Bai

AAAI Conference on Artificial Intelligence

DOI

2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps

Jian-Gang Bai, Yu-Jing Wang, Hong Sun, Ruonan Wu, Tianmeng Yang, Pengfei Tang, De-Fu Cao, Ming-Liang Zhang, Yu Tong, Ya-Ming Yang, Jing Bai, Ruo-Fei Zhang, Hao Sun, Wei Shen

North American Chapter of the Association for Computational Linguistics

DOI

2021

Evolving Attention with Residual Convolutions

Yu-Jing Wang, Ya-Ming Yang, Jian-Gang Bai, Ming-Liang Zhang, Jing Bai, J. Yu, Ce Zhang, Gao Huang, Yun-Hai Tong

International Conference on Machine Learning

2021

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

Jiayan Guo, Ya-Ming Yang, Xiangchen Song, Yuan Zhang, Yu-Jing Wang, Jing Bai, Yan Zhang

Web Search and Data Mining

DOI

2021

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

Yankai Chen, Ya-Ming Yang, Yu-Jing Wang, Jing Bai, Xiangchen Song, Irwin King

IEEE International Conference on Data Engineering

DOI

2021

Adaptive Transfer Learning on Graph Neural Networks

Xueting Han, Zhen-Huan Huang, Bang An, Jing Bai

Knowledge Discovery and Data Mining

DOI

2021

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

Jiayan Guo, Ya-Ming Yang, Xiangchen Song, Yuan Zhang, Yu-Jing Wang, Jing Bai, Yan Zhang

arXiv.org

2021

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

Jian-Gang Bai, Yu-Jing Wang, Yi-Ren Chen, Ya-Ming Yang, Jing Bai, J. Yu, Yun-Hai Tong

Conference of the European Chapter of the Association for Computational Linguistics

DOI

2021

Graph Pointer Neural Networks

Tian-bao Yang, Yu-Jing Wang, Z. Yue, Ya-Ming Yang, Yun-Hai Tong, Jing Bai

AAAI Conference on Artificial Intelligence

DOI

2021

Creating Training Sets via Weak Indirect Supervision

Jieyu Zhang, Bo-Han Wang, Xiangchen Song, Yu-Jing Wang, Ya-Ming Yang, Jing Bai, Alexander J. Ratner

International Conference on Learning Representations

2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

Yihuan Mao, Yujing Wang, Chu-Fan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Ya-Ming Yang, Yun-Hai Tong, Jing Bai

International Conference on Computational Linguistics

DOI

2020

AutoADR: Automatic Model Design for Ad Relevance

Yi-Ren Chen, Ya-Ming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yun-Hai Tong, Jing Bai, Ruo-Fei Zhang

International Conference on Information and Knowledge Management

DOI

2020

Improving BERT With Self-Supervised Attention

Xiaoyu Kou, Ya-Ming Yang, Yu-Jing Wang, Ce Zhang, Yi-Ren Chen, Yun-Hai Tong, Yan Zhang, Jing Bai

IEEE Access

DOI

2020

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

De-Fu Cao, Yu-Jing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yun-Hai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

Neural Information Processing Systems

2020

Multivariate Time-series Anomaly Detection via Graph Attention Network

Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, De-Fu Cao, Yun-Hai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

Industrial Conference on Data Mining

DOI

2019

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

Bitan Hou, Yu-Jing Wang, Ming Zeng, Shan Jiang, O. J. Mengshoel, Yun-Hai Tong, Jing Bai

arXiv.org

2019

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Yujing Wang, Ya-Ming Yang, Yi-Ren Chen, Jing Bai, Ce Zhang, Gui-Nan Su, Xiaoyu Kou, Yun-Hai Tong, Mao Yang, Li-Dong Zhou

AAAI Conference on Artificial Intelligence

DOI

2010

Image retrieval based on color features integrated with anisotropic directionality

Jing Bai, Xiaohua Wang, Licheng Jiao

Journal Of Systems Engineering And Electronics，Vol. 210, No. 10

DOI

2008

Adapting information retrieval to query contexts

Jing Bai, Jian-Yun Nie

Information Processing & Management，Vol. 44, No. 6

DOI

柏静

精选作品

期刊论文

PVSTrans: Patch-view-shape progressive interaction transformer for 3D shape recognition

LatentRevise: Learning from Zero-Hit Reasoning

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning

Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks

CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks

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

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

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

Enhancing Self-Attention with Knowledge-Assisted Attention Maps

Evolving Attention with Residual Convolutions

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

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

Adaptive Transfer Learning on Graph Neural Networks

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

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

Graph Pointer Neural Networks

Creating Training Sets via Weak Indirect Supervision

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

AutoADR: Automatic Model Design for Ad Relevance

Improving BERT With Self-Supervised Attention

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Multivariate Time-series Anomaly Detection via Graph Attention Network

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

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Image retrieval based on color features integrated with anisotropic directionality

Adapting information retrieval to query contexts