Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding. - Ziyue Qiao; Yi Du; Yanjie Fu; Pengfei Wang 008; Yuanchun Zhou (IEEE BigData, 2019)

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. - Ziyue Qiao; Pengyang Wang; Yanjie Fu; Yi Du; Pengfei Wang 008; Yuanchun Zhou (ICDM, 2020)

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion. - Ziyue Qiao; Zhiyuan Ning; Yi Du; Yuanchun Zhou (CoRR, 2020)

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract). - Ziyue Qiao; Zhiyuan Ning; Yi Du; Yuanchun Zhou (AAAI, 2021)

Data Augmentation for Graph Convolutional Network on Semi-supervised Classification. - Zhengzheng Tang; Ziyue Qiao; Xuehai Hong; Yang Wang; Fayaz Ali Dharejo; Yuanchun Zhou; Yi Du (APWeb/WAIM (2), 2021)

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Yi Du; Pengyang Wang; Yuanchun Zhou (ICDM, 2021)

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. - Zhiyuan Ning; Ziyue Qiao; Hao Dong 010; Yi Du; Yuanchun Zhou (PAKDD (3), 2021)

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Yi Du; Pengyang Wang (CoRR, 2021)

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. - Ziyue Qiao; Yanjie Fu; Pengyang Wang; Meng Xiao 001; Zhiyuan Ning; Yi Du; Yuanchun Zhou (CoRR, 2021)

Kernel-based Substructure Exploration for Next POI Recommendation. - Wei Ju 001; Yifang Qin; Ziyue Qiao; Xiao Luo 001; Yifan Wang 014; Yanjie Fu; Ming Zhang 004 (ICDM, 2022)

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering. - Daqing Wu; Xiangyang Guo; Xiao Luo 001; Ziyue Qiao; Jinwen Ma (IJCNN, 2022)

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Hao Dong 010; Yi Du; Pengyang Wang; Dong Li 002; Yuanchun Zhou (CoRR, 2022)

Graph Soft-Contrastive Learning via Neighborhood Ranking. - Zhiyuan Ning; Pengfei Wang 008; Pengyang Wang; Ziyue Qiao; Wei Fan 010; Denghui Zhang; Yi Du; Yuanchun Zhou (CoRR, 2022)

A new Asymmetric Link Quality Routing protocol (ALQR) for heterogeneous WSNs. - Fahad Razaque Mughal; Jingsha He; Nafei Zhu; Ghulam Ali Mallah; Ziyue Qiao; Amir Haider; Saqib Hussain; Muhammad Iftikhar Hussain; Zulfiqar Ali Zardari (Microprocess. Microsystems, 2022)

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. - Hao Dong 010; Zhiyuan Ning; Pengyang Wang; Ziyue Qiao; Pengfei Wang 008; Yuanchun Zhou; Yanjie Fu (IJCAI, 2023)

Semi-supervised Domain Adaptation in Graph Transfer Learning. - Ziyue Qiao; Xiao Luo 001; Meng Xiao 001; Hao Dong 010; Yuanchun Zhou; Hui Xiong 001 (IJCAI, 2023)

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. - Meng Xiao 001; Dongjie Wang; Min Wu 008; Ziyue Qiao; Pengfei Wang 008; Kunpeng Liu 001; Yuanchun Zhou; Yanjie Fu (SDM, 2023)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. - Ziyue Qiao; Yanjie Fu; Pengyang Wang; Meng Xiao 001; Zhiyuan Ning; Denghui Zhang; Yi Du; Yuanchun Zhou (IEEE Trans. Big Data, 2023)

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Hao Dong 010; Yi Du; Pengyang Wang; Hui Xiong 001; Yuanchun Zhou (IEEE Trans. Knowl. Data Eng., 2023)

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network. - Weiyu Guo; Ying Sun 006; Yijie Xu; Ziyue Qiao; Yongkui Yang; Hui Xiong 001 (NeurIPS, 2024)

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis. - Weiyu Guo; Ziyue Qiao; Ying Sun 006; Hui Xiong 001 (CoRR, 2024)

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2024)

Holistic Memory Diversification for Incremental Learning in Growing Graphs. - Ziyue Qiao; Junren Xiao; Qingqiang Sun; Meng Xiao 001; Hui Xiong 001 (CoRR, 2024)

SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations. - Xiaomin Yu; Feiyang Wang; Ziyue Qiao (CoRR, 2024)

KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model. - Rui Zhang 106; Ziyue Qiao; Chenghao Zhang; Jianjun Yu (Expert Syst. Appl., 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

Focus on informative graphs! Semi-supervised active learning for graph-level classification. - Wei Ju 001; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Siyu Yi; Zhiping Xiao 001; Xiao Luo 001; Yanjie Fu; Ming Zhang 004 (Pattern Recognit., 2024)

Information filtering and interpolating for semi-supervised graph domain adaptation. - Ziyue Qiao; Meng Xiao 001; Weiyu Guo; Xiao Luo 001; Hui Xiong 001 (Pattern Recognit., 2024)

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. - Ziyue Qiao; Pengyang Wang; Pengfei Wang 008; Zhiyuan Ning; Yanjie Fu; Yi Du; Yuanchun Zhou; Jianqiang Huang; Xian-Sheng Hua 001; Hui Xiong 001 (ACM Trans. Web, 2024)

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis. - Xinlei Huang; Zhiqi Ma; Dian Meng; Yanran Liu; Shiwei Ruan; Qingqiang Sun; Xubin Zheng; Ziyue Qiao (AAAI, 2025)

Cluster-guided Contrastive Class-imbalanced Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Jianhao Shen; Ziyue Qiao; Ming Zhang 004 (AAAI, 2025)

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness. - Qingqiang Sun; Chaoqi Chen; Ziyue Qiao; Xubin Zheng; Kai Wang (AAAI, 2025)

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning. - Hao Dong 010; Ziyue Qiao; Zhiyuan Ning; Qi Hao 001; Yi Du; Pengyang Wang; Yuanchun Zhou (ACL (Findings), 2025)

A Survey on Foundation Language Models for Single-cell Biology. - Fan Zhang; Hao Chen 011; Zhihong Zhu; Ziheng Zhang; Zhenxi Lin; Ziyue Qiao; Yefeng Zheng 001; Xian Wu 001 (ACL (1), 2025)

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. - Tianqi He; Xiaohan Huang 003; Yi Du; Qingqing Long; Ziyue Qiao; Min Wu 008; Yanjie Fu; Yuanchun Zhou; Meng Xiao 001 (ICDE, 2025)

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification. - Ziyue Qiao; Junren Xiao; Qingqiang Sun; Meng Xiao 001; Xiao Luo 001; Hui Xiong 001 (ICLR, 2025)

MATE: Masked optimal transport with dynamic selection for partial label graph learning. - Yiyang Gu; Binqi Chen; Zihao Chen; Ziyue Qiao; Xiao Luo 001; Junyu Luo 002; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (Artif. Intell., 2025)

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. - Wei Ju 001; Yiyang Gu; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Xiao Luo 001; Hui Xiong 001; Ming Zhang 004 (Sci. China Inf. Sci., 2025)

On the Homophily of Heterogeneous Graphs: Understanding and Unleashing. - Zhen Tao; Ziyue Qiao; Chaoqi Chen; Zhengyi Yang 001; Lun Du; Qingqiang Sun (CoRR, 2025)

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. - Meng Xiao 001; Min Wu 008; Ziyue Qiao; Yanjie Fu; Zhiyuan Ning; Yi Du; Yuanchun Zhou (ACM Trans. Knowl. Discov. Data, 2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges. - Junyu Luo 002; Weizhi Zhang; Ye Yuan; Yusheng Zhao; Junwei Yang; Yiyang Gu; Bohan Wu; Binqi Chen; Ziyue Qiao; Qingqing Long; Rongcheng Tu; Xiao Luo 001; et al. (CoRR, 2025)

Unicorn: Text-Only Data Synthesis for Vision Language Model Training. - Xiaomin Yu; Pengxiang Ding; Wenjie Zhang; Siteng Huang; Songyang Gao; Chengwei Qin; Kejian Wu; Zhaoxin Fan; Ziyue Qiao; Donglin Wang (CoRR, 2025)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Yi Du; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning. - Weiliang Zhang; Xiaohan Huang 003; Yi Du; Ziyue Qiao; Qingqing Long; Zhen Meng; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

Rethinking Graph Contrastive Learning through Relative Similarity Preservation. - Zhiyuan Ning; Pengfei Wang 008; Ziyue Qiao; Pengyang Wang; Yuanchun Zhou (CoRR, 2025)

SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps. - Jiawei Gu; Ziyue Qiao; Zechao Li (CoRR, 2025)

NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration. - Jiawei Gu; Ziyue Qiao; Xiao Luo 001 (CoRR, 2025)

GCAL: Adapting Graph Models to Evolving Domain Shifts. - Ziyue Qiao; Qianyi Cai; Hao Dong 010; Jiawei Gu; Pengyang Wang; Meng Xiao 001; Xiao Luo 001; Hui Xiong 001 (CoRR, 2025)

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting. - Haomiao Qiu; Miao Zhang; Ziyue Qiao; Weili Guan; Min Zhang 005; Liqiang Nie (CoRR, 2025)

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning. - Haomiao Qiu; Miao Zhang; Ziyue Qiao; Liqiang Nie (CoRR, 2025)

Out-of-Distribution Graph Models Merging. - Yidi Wang; Jiawei Gu; Xiaobing Pei; Xubin Zheng; Xiao Luo 001; Pengyang Wang; Ziyue Qiao (CoRR, 2025)

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention. - Jiawei Gu; Ziyue Qiao; Zechao Li (CoRR, 2025)

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering. - Yifang Qin; Wei Ju 001; Yiyang Gu; Ziyue Qiao; Zhiping Xiao 001; Ming Zhang 004 (ACM Trans. Inf. Syst., 2025)