Game Development for Computer Science Education. - Chris Johnson 001; Monica McGill; Durell Bouchard; Michael K. Bradshaw; Víctor A. Bucheli; Laurence D. Merkle; Michael James Scott; Elizabeth Sweedyk; Jesus Ángel Velázquez-Iturbide; Zhiping Xiao 001; Ming Zhang 004 (ITiCSE-WGR, 2016)

Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks. - Lin Chen 003; Zhiping Xiao 001; Kaigui Bian; Shuyu Shi; Rui Li; Yusheng Ji (VTC Spring, 2016)

AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only). - Zhiping Xiao 001; Siqi Li; Zachary A. Pardos (SIGCSE, 2018)

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. - Weiping Song; Chence Shi; Zhiping Xiao 001; Zhijian Duan 001; Yewen Xu; Ming Zhang 004; Jian Tang 005 (CIKM, 2019)

Session-Based Social Recommendation via Dynamic Graph Attention Networks. - Weiping Song; Zhiping Xiao 001; Yifan Wang 014; Laurent Charlin; Ming Zhang 004; Jian Tang 005 (WSDM, 2019)

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. - Zhiping Xiao 001; Weiping Song; Haoyan Xu; Zhicheng Ren; Yizhou Sun (KDD, 2020)

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)

Detecting political biases of named entities and hashtags on Twitter. - Zhiping Xiao 001; Jeffrey Zhu; Yining Wang; Pei Zhou; Wen Hong Lam; Mason A. Porter; Yizhou Sun (EPJ Data Sci., 2023)

PGODE: Towards High-quality System Dynamics Modeling. - Xiao Luo 001; Yiyang Gu; Huiyu Jiang; Hang Zhou 008; Jinsheng Huang; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (ICML, 2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Ming Zhang 004 (ICML, 2024)

Rank and Align: Towards Effective Source-free Graph Domain Adaptation. - Junyu Luo 002; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Jingyang Yuan; Wei Ju 001; Langechuan Liu; Ming Zhang 004 (IJCAI, 2024)

A Survey of Data-Efficient Graph Learning. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Qingqing Long; Junyu Luo 002; Zhiping Xiao 001; Ming Zhang 004 (IJCAI, 2024)

Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations. - Zhicheng Ren; Zhiping Xiao 001; Yizhou Sun (MMSR@CIKM, 2024)

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics. - Jingyang Yuan; Gongbo Sun; Zhiping Xiao 001; Hang Zhou 008; Xiao Luo 001; Junyu Luo 002; Yusheng Zhao; Wei Ju 001; Ming Zhang 004 (NeurIPS, 2024)

Fast Inference of Removal-Based Node Influence. - Weikai Li 002; Zhiping Xiao 001; Xiao Luo 001; Yizhou Sun (WWW, 2024)

A Survey on Graph Neural Networks in Intelligent Transportation Systems. - Hourun Li; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Zhiping Xiao 001; Jiaqi Feng; Yiyang Gu; Wei Ju 001; Xiao Luo 001; Ming Zhang 004 (CoRR, 2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. - Yifang Qin; Wei Ju 001; Xiao Luo 001; Yiyang Gu; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Zhengyang Mao; Hourun Li; Yiyang Gu; Yifang Qin; Nan Yin; Senzhang Wang; Xinwang Liu 002; Xiao Luo 001; et al. (CoRR, 2024)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation. - Junyu Luo 002; Xiao Luo 001; Xiusi Chen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (CoRR, 2024)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response. - Junyu Luo 002; Xiao Luo 001; Kaize Ding; Jingyang Yuan; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2024)

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. - Hourun Li; Yifan Wang; Zhiping Xiao 001; Jia Yang; Changling Zhou; Ming Zhang 004; Wei Ju 001 (CoRR, 2024)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. - Wei Ju 001; Yusheng Zhao; Yifang Qin; Siyu Yi; Jingyang Yuan; Zhiping Xiao 001; Xiao Luo 001; Xiting Yan; Ming Zhang 004 (Inf. Fusion, 2024)

A bioactivity foundation model using pairwise meta-learning. - Bin Feng; Zequn Liu; Nan-Lan Huang; Zhiping Xiao 001; Haomiao Zhang; Srbuhi Mirzoyan; Hanwen Xu; Jiaran Hao; Yinghui Xu; Ming Zhang 004; Sheng Wang 012 (Nat. Mac. Intell., 2024)

Poisoning medical knowledge using large language models. - Junwei Yang; Hanwen Xu; Srbuhi Mirzoyan; Tong Chen; Zixuan Liu 001; Zequn Liu; Wei Ju 001; Luchen Liu; Zhiping Xiao 001; Ming Zhang 004; Sheng Wang 012 (Nat. Mac. Intell., 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)

Ideology Analysis for Social-Media Users via Multi-Modal Data Mining - Zhiping Xiao 001 (2024)

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation. - Junyu Luo 002; Yiyang Gu; Xiao Luo 001; Wei Ju 001; Zhiping Xiao 001; Yusheng Zhao; Jingyang Yuan; Ming Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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)

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. - Hourun Li; Yifan Wang 014; Zhiping Xiao 001; Jia Yang; Changling Zhou; Ming Zhang 004; Wei Ju 001 (AAAI, 2025)

GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model. - Yifang Qin; Jiaxuan Xie; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

Attention Bootstrapping for Multi-Modal Test-Time Adaptation. - Yusheng Zhao; Junyu Luo 002; Xiao Luo 001; Jinsheng Huang; Jingyang Yuan; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. - Yusheng Zhao; Changhu Wang; Xiao Luo 001; Junyu Luo 002; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. - Junyu Luo 002; Zhizhuo Kou; Liming Yang; Xiao Luo 001; Jinsheng Huang; Zhiping Xiao 001; Jingshu Peng; Chengzhong Liu; Jiaming Ji; Xuanzhe Liu; Sirui Han; Ming Zhang 004; et al. (ACL (1), 2025)

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. - Junyu Luo 002; Bohan Wu; Xiao Luo 001; Zhiping Xiao 001; Yiqiao Jin; Rong-Cheng Tu; Nan Yin; Yifan Wang 014; Jingyang Yuan; Wei Ju 001; Ming Zhang 004 (ACL (1), 2025)

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. - Jingyang Yuan; Huazuo Gao; Damai Dai; Junyu Luo 002; Liang Zhao; Zhengyan Zhang; Zhenda Xie; Yuxing Wei; Lean Wang; Zhiping Xiao 001; Yuqing Wang; Chong Ruan; et al. (ACL (1), 2025)

Embracing Large Language Models in Traffic Flow Forecasting. - Yusheng Zhao; Xiao Luo 001; Haomin Wen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (ACL (Findings), 2025)

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision. - Kangjie Zheng; Siyue Liang; Junwei Yang; Bin Feng; Zequn Liu; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004 (ICLR, 2025)

Future Matters for Present: Towards Effective Physical Simulation over Meshes. - Xiao Luo 001; Junyu Luo 002; Huiyu Jiang; Hang Zhou 008; Zhiping Xiao 001; Wei Ju 001; Carl Ji Yang; Ming Zhang 004; Yizhou Sun (KDD (1), 2025)

How Do Large Language Models Perform in Dynamical System Modeling. - Xiao Luo 001; Binqi Chen; Haixin Wang 003; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (NAACL (Findings), 2025)

Semi-supervised Fine-tuning for Large Language Models. - Junyu Luo 002; Xiao Luo 001; Xiusi Chen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (NAACL (Findings), 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)

GMR-Rec: Graph mutual regularization learning for multi-domain recommendation. - Yifan Wang 014; Yangzi Yang; Shuai Li; Yutao Xie; Zhiping Xiao 001; Ming Zhang 004; Wei Ju 001 (Inf. Sci., 2025)

Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval. - Junyu Luo 002; Yusheng Zhao; Xiao Luo 001; Zhiping Xiao 001; Wei Ju 001; Li Shen 008; Dacheng Tao; Ming Zhang 004 (IEEE Trans. Image Process., 2025)

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models. - Kangjie Zheng; Junwei Yang; Siyue Liang; Bin Feng; Zequn Liu; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2025)

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. - Jingyang Yuan; Huazuo Gao; Damai Dai; Junyu Luo 002; Liang Zhao; Zhengyan Zhang; Zhenda Xie; Y. X. Wei; Lean Wang; Zhiping Xiao 001; Yuqing Wang; Chong Ruan; et al. (CoRR, 2025)

Learning Knowledge-diverse Experts for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Qingqing Long; Nan Yin; Xinwang Liu 002; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2025)

A Social Dynamical System for Twitter Analysis. - Zhiping Xiao 001; Xinyu Wang; Yifang Qin; Zijie Huang 002; Mason A. Porter; Yizhou Sun (CoRR, 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)

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. - Yusheng Zhao; Junyu Luo 002; Xiao Luo 001; Weizhi Zhang 001; Zhiping Xiao 001; Wei Ju 001; Philip S. Yu; Ming Zhang 004 (CoRR, 2025)

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning. - Yusheng Zhao; Xiao Luo 001; Weizhi Zhang 001; Wei Ju 001; Zhiping Xiao 001; Philip S. Yu; Ming Zhang 004 (CoRR, 2025)

Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs. - Yusheng Zhao; Qixin Zhang; Xiao Luo 001; Weizhi Zhang 001; Zhiping Xiao 001; Wei Ju 001; Philip S. Yu; Ming Zhang 004 (CoRR, 2025)

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. - Junyu Luo 002; Yuhao Tang; Yiwei Fu; Xiao Luo 001; Zhizhuo Kou; Zhiping Xiao 001; Wei Ju 001; Wentao Zhang 001; Ming Zhang 004 (CoRR, 2025)

FMC: Formalization of Natural Language Mathematical Competition Problems. - Jiaxuan Xie; Chengwu Liu 001; Ye Yuan 016; Siqi Li; Zhiping Xiao 001; Ming Zhang 004 (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)