Gene Regulatory Network Reconstruction with Multiple Dataset Fusion and Differential Equation. - Ming Zheng; Guixia Liu; Deping Wang; Yan Wang 028; Chunguang Zhou; Yuan Tian 016 (FCST, 2010)

Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data. - Wei Du 002; Zhongbo Cao; Yan Wang 028; Fengfeng Zhou; Wei Pang 001; Xin Chen; Yuan Tian 016; Yanchun Liang 001 (Cogn. Comput., 2015)

Partitioning Clustering Based on Support Vector Ranking. - Qing Peng; Yan Wang 028; Ge Ou; Yuan Tian 016; Lan Huang 002; Wei Pang 001 (ADMA, 2016)

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning. - Tianci Song; Yan Wang 028; Wei Du 002; Sha Cao; Yuan Tian 016; Yanchun Liang 001 (J. Bioinform. Comput. Biol., 2017)

Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. - Zhepei Wei; Yantao Jia; Yuan Tian 016; Mohammad Javad Hosseini; Mark Steedman; Yi Chang 001 (CoRR, 2019)

A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. - Zhepei Wei; Jianlin Su; Yue Wang 035; Yuan Tian 016; Yi Chang 001 (CoRR, 2019)

Learning Signed Network Embedding via Graph Attention. - Yu Li 022; Yuan Tian 016; Jiawei Zhang 001; Yi Chang 001 (AAAI, 2020)

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. - Zhepei Wei; Jianlin Su; Yue Wang 035; Yuan Tian 016; Yi Chang 001 (ACL, 2020)

ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction. - Erxin Yu; Wenjuan Han; Yuan Tian 016; Yi Chang 001 (COLING, 2020)

A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning. - Erxin Yu; Yantao Jia; Yuan Tian 016; Yi Chang 001 (ICKG, 2020)

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. - Qiang Huang; Makoto Yamada; Yuan Tian 016; Dinesh Singh 001; Dawei Yin; Yi Chang 001 (CoRR, 2020)

Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. - Tingyu Xia; Yue Wang 035; Yuan Tian 016; Yi Chang 001 (WWW, 2021)

Exploring Entity-level User Preference on the Knowledge Graph for Recommender System. - Pengfei Chen; Qi Wang; Yuan Tian 016 (ACAI, 2022)

RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker. - Yuting Lu; Yan Wang 028; Nan Sheng; Hao Wang; Yuan Fu; Yuan Tian 016 (BIBM, 2022)

FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. - Tingyu Xia; Yue Wang 035; Yuan Tian 016; Yi Chang 001 (EMNLP, 2022)

Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. - Zhepei Wei; Yue Wang 035; Jinnan Li; Zhining Liu 002; Erxin Yu; Yuan Tian 016; Xin Wang 035; Yi Chang 001 (AACL/IJCNLP (1), 2022)

Few-shot relation classification using clustering-based prototype modification. - Mingtong Wen; Tingyu Xia; Bowen Liao; Yuan Tian 016 (Knowl. Based Syst., 2023)

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. - Qiang Huang; Makoto Yamada; Yuan Tian 016; Dinesh Singh 001; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. - Bo Wang 069; Jing Ma 004; Hongzhan Lin 001; Zhiwei Yang 005; Ruichao Yang; Yuan Tian 016; Yi Chang 001 (WWW, 2024)

Rethinking Data Selection at Scale: Random Selection is Almost All You Need. - Tingyu Xia; Bowen Yu 002; Kai Dang; An Yang; Yuan Wu 002; Yuan Tian 016; Yi Chang 001; Junyang Lin (CoRR, 2024)

Enhancing inter-sentence attention for Semantic Textual Similarity. - Ying Zhao; Tingyu Xia; Yunqi Jiang; Yuan Tian 016 (Inf. Process. Manag., 2024)

CGMatch: A Different Perspective of Semi-supervised Learning. - Bo Cheng; Jueqing Lu; Yuan Tian 016; Haifeng Zhao; Yi Chang 001; Lan Du 002 (CVPR, 2025)

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency. - Qifan Liang; Yixiang Shan; Haipeng Liu; Zhengbang Zhu; Ting Long; Weinan Zhang 001; Yuan Tian 016 (ICLR, 2025)