Jin, Di

69 publications

NeurIPS 2025 A Closer Look at Graph Transformers: Cross-Aggregation and Beyond Jiaming Zhuo, Ziyi Ma, Yintong Lu, Yuwei Liu, Kun Fu, Di Jin, Chuan Wang, Wenning Wu, Zhen Wang, Xiaochun Cao, Liang Yang

IJCAI 2025 A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He

IJCAI 2025 A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin

IJCAI 2025 Attribute Association Driven Multi-Task Learning for Session-Based Recommendation Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin

AAAI 2025 Backdoor Attack on Propagation-Based Rumor Detectors Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang

ICML 2025 Disentangled Graph Spectral Domain Adaptation Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo

ICML 2025 Do We Really Need Message Passing in Brain Network Modeling? Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao

AAAI 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang

AAAI 2025 Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei

IJCAI 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense Against Unsupervised Adversarial Attacks Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang

AAAI 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-Start Recommendation Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin

IJCAI 2025 HGMP: Heterogeneous Graph Multi-Task Prompt Learning Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi

AAAI 2025 HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin

IJCAI 2025 Heterogeneous Temporal Hypergraph Neural Network Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin

AAAI 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang

NeurIPS 2025 LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks Di Jin, Yuxiang Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang

NeurIPS 2025 One Prompt Fits All: Universal Graph Adaptation for Pretrained Models Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng

IJCAI 2025 Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang

IJCAI 2025 Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang

NeurIPS 2025 Stealthy yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin

ICML 2025 Think Smarter Not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang

ICLRW 2025 Think Smarter Not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang

AAAI 2025 Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He

IJCAI 2025 Universal Graph Self-Contrastive Learning Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang

NeurIPS 2024 Deep Graph Neural Networks via Posteriori-Sampling-Based Node-Adaptative Residual Module Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li

NeurIPS 2024 FUG: Feature-Universal Graph Contrastive Pre-Training for Graphs with Diverse Node Features Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng

AAAI 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

IJCAI 2024 Generalized Taxonomy-Guided Graph Neural Networks Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang

IJCAI 2024 Joint Domain Adaptive Graph Convolutional Network Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin

IJCAI 2024 Multi-Modal Sarcasm Detection Based on Dual Generative Processes Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang

AAAI 2024 Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin

IJCAI 2023 A Generalized Deep Markov Random Fields Framework for Fake News Detection Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin

AAAI 2023 Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang

TMLR 2023 Calibrate and Debias Layer-Wise Sampling for Graph Convolutional Networks Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu

IJCAI 2023 Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang

ICML 2023 Contrastive Learning Meets Homophily: Two Birds with One Stone Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang

NeurIPSW 2023 Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar

AAAI 2023 Local-Global Defense Against Unsupervised Adversarial Attacks on Graphs Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang

AAAI 2023 T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu

AAAI 2023 Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur

AAAI 2023 Trafformer: Unify Time and Space in Traffic Prediction Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang

IJCAI 2022 CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

AAAI 2022 Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang

IJCAI 2022 RAW-GNN: RAndom Walk Aggregation Based Graph Neural Network Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

IJCAI 2021 Self-Guided Community Detection on Networks with Missing Edges Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang

NeurIPS 2021 Universal Graph Convolutional Networks Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

IJCAI 2020 Adversarial Mutual Information Learning for Network Embedding Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu

IJCAI 2020 Community-Centric Graph Convolutional Network for Unsupervised Community Detection Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang

ECCV 2020 Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang

AAAI 2020 Is BERT Really Robust? a Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

AAAI 2020 MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür

AAAI 2020 Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang

IJCAI 2019 An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang

AAAI 2019 Community Detection in Social Networks Considering Topic Correlations Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang

AAAI 2019 Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang

AAAI 2019 Incorporating Network Embedding into Markov Random Field for Better Community Detection Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty

IJCAI 2019 Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang

ECML-PKDD 2019 Node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra

IJCAI 2019 Topology Optimization Based Graph Convolutional Network Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo

IJCAI 2018 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao

AAAI 2018 A Network-Specific Markov Random Field Approach to Community Detection Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang

IJCAI 2018 Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized Topics Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang

IJCAI 2018 Integrative Network Embedding via Deep Joint Reconstruction Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang

AAAI 2018 Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang

AAAI 2017 Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang

AAAI 2016 Detect Overlapping Communities via Ranking Node Popularities Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang

AAAI 2016 Semantic Community Identification in Large Attribute Networks Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang

AAAI 2015 A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang

AAAI 2015 Modeling with Node Degree Preservation Can Accurately Find Communities Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang