FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. - Menglin Yang 001; Ziqiao Meng; Irwin King (ICDM, 2020)

MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. - Xinyu Fu 004; Jiani Zhang 001; Ziqiao Meng; Irwin King (WWW, 2020)

Semi-supervised Multi-label Learning for Graph-structured Data. - Zixing Song; Ziqiao Meng; Yifei Zhang; Irwin King (CIKM, 2021)

Modeling Scale-free Graphs for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jian Hao; Irwin King (CoRR, 2021)

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jianye Hao; Irwin King (WSDM, 2022)

Graph-adaptive Rectified Linear Unit for Graph Neural Networks. - Yifei Zhang; Hao Zhu 010; Ziqiao Meng; Piotr Koniusz; Irwin King (WWW, 2022)

Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. - Ziqiao Meng; Peilin Zhao; Yang Yu 010; Irwin King (IJCAI, 2023)

A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. - Ziqiao Meng; Peilin Zhao; Yang Yu 010; Irwin King (IJCAI, 2023)

Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. - Ziqiao Meng; Yaoman Li; Peilin Zhao; Yang Yu 010; Irwin King (SDM, 2023)

A Diffusion-Based Pre-training Framework for Crystal Property Prediction. - Zixing Song; Ziqiao Meng; Irwin King (AAAI, 2024)

Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. - Ziqiao Meng; Liang Zeng 002; Zixing Song; Tingyang Xu; Peilin Zhao; Irwin King (IJCAI, 2024)

Geometric View of Soft Decorrelation in Self-Supervised Learning. - Yifei Zhang; Hao Zhu 010; Zixing Song; Yankai Chen 001; Xinyu Fu 004; Ziqiao Meng; Piotr Koniusz; Irwin King (KDD, 2024)

Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. - Haoyu Wang 003; Guozheng Ma; Ziqiao Meng; Zeyu Qin; Li Shen 008; Zhong Zhang; Bingzhe Wu; Liu Liu 014; Yatao Bian; Tingyang Xu; Xueqian Wang 001; Peilin Zhao (CoRR, 2024)

Recent Advances in Speech Language Models: A Survey. - Wenqian Cui; Dianzhi Yu; Xiaoqi Jiao; Ziqiao Meng; Guangyan Zhang; Qichao Wang; Yiwen Guo; Irwin King (CoRR, 2024)

VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models. - Wenqian Cui; Xiaoqi Jiao; Ziqiao Meng; Irwin King (ACL (1), 2025)

Recent Advances in Speech Language Models: A Survey. - Wenqian Cui; Dianzhi Yu; Xiaoqi Jiao; Ziqiao Meng; Guangyan Zhang; Qichao Wang; Steven Y. Guo; Irwin King (ACL (1), 2025)

Continual Optimization with Symmetry Teleportation for Multi-Task Learning. - Zhipeng Zhou; Ziqiao Meng; Pengcheng Wu; Peilin Zhao; Chunyan Miao (CoRR, 2025)

3D Point Cloud Generation via Autoregressive Up-sampling. - Ziqiao Meng; Qichao Wang; Zhipeng Zhou; Irwin King; Peilin Zhao (CoRR, 2025)

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. - Qichao Wang; Ziqiao Meng; Wenqian Cui; Yifei Zhang; Pengcheng Wu; Bingzhe Wu; Irwin King; Liang Chen 001; Peilin Zhao (CoRR, 2025)