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Di Jin

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

169

Venues

41

Active years

2009–2026

Best venue rank

A*

Where they publish

Papers

169 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion.Ling Ding, Zhizhi Yu, Di Jin, Lei Huang
2026AAAIDuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks.Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu, Di Jin
2026AAAIMitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment.Di Jin, Haotian Zhao, Xiaobao Wang, Fengyu Yan, Dongxiao He
2026AAAIAccommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild.Jiatai Wang, Zhiwei Xu, Di Jin, Xuewen Yang, Tao Li
2026AAAIStructure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning.Fengyu Yan, Di Jin, Xiaobao Wang, Qianhua Tang, Dongxiao He
2026EACLWorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning.Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang
2026NSDISlowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications.Yizheng Xie, Di Jin, Oguzhan lkesen, Vasiliki Kalavri, John Liagouris, Nikos Vasilakis
2026WWWIVQ-GNN: Mitigating Performance Gap from Graph Connection Pattern Inconsistency via Vector Quantization.Di Jin, Yixuan Du, Cuiying Huo, Xiaotong Huang, Ruqiong Zhang, Xiaobao Wang, Yawen Li
2026WWWUnveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms.Di Jin, Bingdao Feng, Xiaobao Wang, Yuxiang Zhang, Zechuan Zhang, Liang Yang, Dongxiao He, Zhen Wang
2026WWWCross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs.Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang, Hongxiang Liang
2026WWWIntegrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection.Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei
2026WWWTowards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs.Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang
2025AAAIBackdoor Attack on Propagation-based Rumor Detectors.Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang
2025AAAITowards Global-Topology Relation Graph for Inductive Knowledge Graph Completion.Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He
2025AAAIDoes 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
2025AAAIFeature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin
2025AAAIIntegrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily.Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang
2025AAAIHeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting.Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin
2025AAAIDynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection.Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei
2025ACLImproving Model Factuality with Fine-grained Critique-based Evaluator.Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Ros, Daniel Fried, Hejia Zhang
2025CSCWDFitCLM: LLM-Augmented Candidate-aware Cross-view Contrastive Learning for Person-Job Fit.Gaozhi Tang, Jianrong Wang, Xinglong Chang, Di Jin, Xiudong Han
2025ICASSPInjectTST: Injecting Global Information into Independent Channels for Long Time Series Forecasting.Ce Chi, Xing Wang, Kexin Yang, Zhiyan Song, Di Jin, Lin Zhu, Chao Deng, Junlan Feng
2025ICMLDisentangled Graph Spectral Domain Adaptation.Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo
2025ICMLDo We Really Need Message Passing in Brain Network Modeling?Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao
2025ICMLThink 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
2025IJCAIRethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective.Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang
2025IJCAIA 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
2025IJCAIUniversal Graph Self-Contrastive Learning.Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang
2025IJCAIExploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks.Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang
2025IJCAIA Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025IJCAIHGMP: Heterogeneous Graph Multi-Task Prompt Learning.Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025IJCAISingle-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems.Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang
2025IJCAIHeterogeneous Temporal Hypergraph Neural Network.Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025IJCAIAttribute Association Driven Multi-Task Learning for Session-based Recommendation.Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin
2025PLOSKLean: Extending Operating System Kernels with Lean.Di Jin, Ethan Lavi, Jinghao Jia, Robert Y. Lewis, Nikos Vasilakis
2025PLOSTowards Hybrid Cooperative-Preemptive Scheduling.Yizheng Xie, Di Jin, Nikos Vasilakis
2025WWWLLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2024AAAIUnveiling 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
2024AAAIGOODAT: 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
2024ACLVision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
2024EMNLPFrom Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues.Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu
2024ICASSPSelf-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion Recognition.Ruiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Wenhuan Lu, Di Jin, Junhai Xu
2024IJCAIMulti-Modal Sarcasm Detection Based on Dual Generative Processes.Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang
2024IJCAIJoint Domain Adaptive Graph Convolutional Network.Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin
2024IJCAIGeneralized Taxonomy-Guided Graph Neural Networks.Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang
2023AAAILocal-Global Defense against Unsupervised Adversarial Attacks on Graphs.Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang
2023AAAIT2-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
2023AAAITrafformer: Unify Time and Space in Traffic Prediction.Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang
2023AAAITowards 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
2023AAAIAugmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection.Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang
2023EACLSelective In-Context Data Augmentation for Intent Detection using Pointwise V-Information.Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
2023EMNLPDialGuide: Aligning Dialogue Model Behavior with Developer Guidelines.Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur
2023EMNLPUsing In-Context Learning to Improve Dialogue Safety.Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur
2023EMNLPThe Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models.Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang
2023ICASSPOptimal Transport with a Diversified Memory Bank for Cross-Domain Speaker Verification.Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu
2023ICDCNInvited Paper: Fault-tolerant and Expressive Cross-Chain Swaps.Yingjie Xue, Di Jin, Maurice Herlihy
2023ICMLContrastive Learning Meets Homophily: Two Birds with One Stone.Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang
2023IJCAIA Generalized Deep Markov Random Fields Framework for Fake News Detection.Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin
2023IJCAICommonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection.Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang
2023InterspeechParameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning.Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng
2023InterspeechSOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion Recognition.Ruiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Junhai Xu, Di Jin, Jianhua Tao
2023ICTAIMulti-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations.Lingshan Li, Di Jin, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang
2023KSEMLocal-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
2023WWWDual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023WWWKGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023WSDMMulti-Intention Oriented Contrastive Learning for Sequential Recommendation.Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu
2023USENIXEPF: Evil Packet Filter.Di Jin, Vaggelis Atlidakis, Vasileios P. Kemerlis
2023SIGdialMERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems.Sarik Ghazarian, Behnam Hedayatnia, Di Jin, Sijia Liu, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur
2023SIGdialInvestigating the Representation of Open Domain Dialogue Context for Transformer Models.Vishakh Padmakumar, Behnam Hedayatnia, Di Jin, Patrick Lange, Seokhwan Kim, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur
2023SIGdial"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge.Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur
2022AAAIPowerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang
2022ACLDMix: Adaptive Distance-aware Interpolative Mixup.Ramit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di Jin, Diyi Yang, Lucie Flek
2022CIKMLeveraging the Graph Structure of Neural Network Training Dynamics.Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra
2022EMNLPInducer-tuning: Connecting Prefix-tuning and Adapter-tuning.Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022IJCAIRAW-GNN: RAndom Walk Aggregation based Graph Neural Network.Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022IJCAICGMN: 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
2022InterspeechImprove emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training.Jiaxu He, Cheng Gong, Longbiao Wang, Di Jin, Xiaobao Wang, Junhai Xu, Jianwu Dang
2022NAACLEmpowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention.Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022NAACLSketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences.Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang
2022NAACLEnhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs.Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur
2022WWWInflation Improves Graph Neural Networks.Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
2022WWWGraph Neural Network for Higher-Order Dependency Networks.Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
2022WSDMOn Generalizing Static Node Embedding to Dynamic Settings.Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
2022SIGdialA Systematic Evaluation of Response Selection for Open Domain Dialogue.Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur
2022SIGdialImproving Bot Response Contradiction Detection via Utterance Rewriting.Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur
2021ASRU"How Robust R U?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations.Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tr
2021CIKMBudget-constrained Truss Maximization over Large Graphs: A Component-based Approach.Xin Sun, Xin Huang, Zitan Sun, Di Jin
2021EMNLPHypMix: Hyperbolic Interpolative Data Augmentation.Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek
2021ICASSPGraph Neural Network for Large-Scale Network Localization.Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
2021ICDMAn Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding.Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu
2021ICDMAS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2021ICONIPContinuous-Time Stochastic Differential Networks for Irregular Time Series Modeling.Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu
2021IJCAISelf-Guided Community Detection on Networks with Missing Edges.Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
2021WWWHeterogeneous Graph Neural Network via Attribute Completion.Di Jin, Cuiying Huo, Chundong Liang, Liang Yang
2021WSDMBiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2020AAAIMMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension.Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tr
2020AAAIIs BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment.Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
2020AAAITopic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest.Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang
2020ACLHooks in the Headline: Learning to Generate Headlines with Controlled Styles.Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
2020ACLMulti-source Meta Transfer for Low Resource Multiple-Choice Question Answering.Ming Yan, Hao Zhang, Di Jin, Joey Tianyi Zhou
2020COLINGAugmenting NLP models using Latent Feature Interpolations.Amit Jindal, Arijit Ghosh Chowdhury, Aniket Didolkar, Di Jin, Ramit Sawhney, Rajiv Ratn Shah
2020ECCVFashion 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
2020EMNLPTextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP.John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi
2020EMNLPTasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang
2020ICASSPExploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments.Di Jin, Feng Yin, Michael Fau, Michael Muma, Abdelhak M. Zoubir
2020ICDMToward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport.Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo
2020ICDMBERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
2020ICDMNF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang
2020ICDMIntegrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang
2020IJCAICommunity-Centric Graph Convolutional Network for Unsupervised Community Detection.Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang
2020IJCAIAdversarial Mutual Information Learning for Network Embedding.Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
2020INFOCOMA Data Forwarding Mechanism based on Deep Reinforcement Learning for Deterministic Networks.Yuhong Li, Peng Zhang, Yingchao Zhou, Di Jin
2020InterspeechSpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations.Amit Jindal, Narayanan Elavathur Ranganatha, Aniket Didolkar, Arijit Ghosh Chowdhury, Di Jin, Ramit Sawhney, Rajiv Ratn Shah
2020NOMSPredicting Internet of Things Data Traffic Through LSTM and Autoregressive Spectrum Analysis.Yuhong Li, Di Jin, Bailin Wang, Xiang Su, Jukka Riekki, Chao Sun, Hanyu Wei, Hao Wang, Lei Han
2020RAIDsysfilter: Automated System Call Filtering for Commodity Software.Nicholas DeMarinis, Kent Williams-King, Di Jin, Rodrigo Fonseca, Vasileios P. Kemerlis
2020WWWGraph Attention Topic Modeling Network.Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo
2019AAAIGraph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
2019AAAIIncorporating Network Embedding into Markov Random Field for Better Community Detection.Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Franoise Fogelman-Souli, Tanmoy Chakraborty
2019AAAICommunity Detection in Social Networks Considering Topic Correlations.Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang
2019ACLDual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok
2019ACSACNibbler: debloating binary shared libraries.Ioannis Agadakos, Di Jin, David Williams-King, Vasileios P. Kemerlis, Georgios Portokalidis
2019CIKMEmotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities.Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang
2019EMNLPIMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation.Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus
2019ICANNCommunity Detection via Joint Graph Convolutional Network Embedding in Attribute Network.Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan
2019IJCAITopology Optimization based Graph Convolutional Network.Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo
2019IJCAIAn 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
2019IJCAINetwork-Specific Variational Auto-Encoder for Embedding in Attribute Networks.Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
2019ICTAIAdversarial Capsule Learning for Network Embedding.Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
2019KDDSmart Roles: Inferring Professional Roles in Email Networks.Di Jin, Mark Heimann, Tara Safavi, Mengdi Wang, Wei Lee, Lindsay Snider, Danai Koutra
2019KDDLatent Network Summarization: Bridging Network Embedding and Summarization.Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra
2019KSEMA Simple and Effective Community Detection Method Combining Network Topology with Node Attributes.Dongxiao He, Yue Song, Di Jin
2019WWWA Novel Generative Topic Embedding Model by Introducing Network Communities.Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Franoise Fogelman-Souli, Yuxiao Huang
2018AAAIA Network-Specific Markov Random Field Approach to Community Detection.Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang
2018AAAIRobust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics.Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang
2018AMIAPrecision Medicine: matching cancer patients with clinical trials.Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, zlem Uzuner
2018AMIAPrecision Medicine: matching cancer patients with relevant treatments.Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, zlem Uzuner
2018COLINGImplicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning.Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, Longbiao Wang, Xiangang Li
2018COLINGInteraction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention.Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li
2018DASFAADistributed Efficient Provenance-Aware Regular Path Queries on Large RDF Graphs.Yueqi Xin, Xin Wang, Di Jin, Simiao Wang
2018EMNLPHierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts.Di Jin, Peter Szolovits
2018IJCAI3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces.Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao
2018IJCAIIntegrative Network Embedding via Deep Joint Reconstruction.Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
2018IJCAIFinding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Franoise Fogelman-Souli, Xin Huang
2018ICTAIEdge Content Enhanced Network Embedding.Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
2018KSEMAutoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents.Jinxin Cao, Di Jin, Jianwu Dang
2018KSEMRobust Detection of Communities with Multi-semantics in Large Attributed Networks.Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2018PAKDDA Unified Weakly Supervised Framework for Community Detection and Semantic Matching.Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin
2018SDMFast Flow-based Random Walk with Restart in a Multi-query Setting.Yujun Yan, Mark Heimann, Di Jin, Danai Koutra
2017AAAIJoint 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
2017ACLLeveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter.Kristen Johnson, Di Jin, Dan Goldwasser
2017ICDMExploratory Analysis of Graph Data by Leveraging Domain Knowledge.Di Jin, Danai Koutra
2017ICTAIUsing Deep Learning for Community Discovery in Social Networks.Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Franoise Fogelman-Souli
2017ICTAIIdentification of Generalized Communities with Semantics in Networks with Content.Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Franoise Fogelman-Souli, Jianwu Dang
2017ICTAITracking and Detecting Dynamic Communities with Node Popularity Preservation.Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei
2017ICWSMModeling of Political Discourse Framing on Twitter.Kristen Johnson, Di Jin, Dan Goldwasser
2016AAAIDetect Overlapping Communities via Ranking Node Popularities.Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang
2016AAAISemantic Community Identification in Large Attribute Networks.Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang
2016CoNLLAdapting Event Embedding for Implicit Discourse Relation Recognition.Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser
2016ICASSPCooperative localization based on severely quantized RSS measurements in wireless sensor network.Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir, Fredrik Gustafsson
2015AAAIA Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks.Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang
2015AAAIModeling with Node Degree Preservation Can Accurately Find Communities.Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang
2015InterspeechCommunity detection with manifold learning on speaker i-vector space for Chinese.Hongcui Wang, Di Jin, Lantian Li, Jianwu Dang
2014WWWThe (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF.Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He
2013CCSPerformance signatures of mobile phone browsers.Bilal Shebaro, Di Jin, Elisa Bertino
2013ICMLCDialog Act classification in Chinese spoken language.Peng Liu, Qingbua Hu, Jianwu Dang, Di Jin, Jinxin Cao
2011ICNCAnt colony optimization for community detection in large-scale complex networks.Dongxiao He, Jie Liu, Dayou Liu, Di Jin, Zhengxue Jia
2011PAKDDAnt Colony Optimization with Markov Random Walk for Community Detection in Graphs.Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He
2010ICTAIGenetic Algorithm with Local Search for Community Mining in Complex Networks.Di Jin, Dongxiao He, Dayou Liu, Carlos Baquero
2009DASCFast Complex Network Clustering Algorithm Using Agents.Di Jin, Dayou Liu, Bo Yang, Jie Liu