Jing Gao

252 papers A* 86A 34B 7Misc 5Journal 72Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition.
CoRR
Xiaoze Liu, Weichen Yu, Matt Fredrikson, Xiaoqian Wang, Jing Gao
2026 J jnl
The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems.
CoRR
Xiaoze Liu, Ruowang Zhang, Weichen Yu, Siheng Xiong, Liu He, Feijie Wu, Hoin Jung, Matt Fredrikson, Xiaoqian Wang, Jing Gao
2026 — conf
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking.
KDD (1)
Xingchen Wang, Feijie Wu, Chenglin Miao, Tianchun Li, Haoyu Hu, Qiming Cao, Jing Gao, Lu Su
2025 A* conf
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing.
ICML
Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao
2025 J jnl
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing.
CoRR
Tianci Liu, Zihan Dong, Linjun Zhang, Haoyu Wang, Jing Gao
2025 A* conf
On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness.
ICML
Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang
2025 J jnl
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning.
CoRR
Tianyang Xu, Xiaoze Liu, Feijie Wu, Xiaoqian Wang, Jing Gao
2025 J jnl
Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering.
CoRR
Feijie Wu, Zitao Li, Fei Wei, Yaliang Li, Bolin Ding, Jing Gao
2025 — conf
Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models.
ICDM (Workshops)
Haoyu Wang, Tianci Liu, Fenglong Ma, Jing Gao
2025 A* conf
Towards Federated RLHF with Aggregated Client Preference for LLMs.
ICLR
Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao
2025 J jnl
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking.
CoRR
Xingchen Wang, Feijie Wu, Chenglin Miao, Tianchun Li, Haoyu Hu, Qiming Cao, Jing Gao, Lu Su
2025 — conf
Towards Universal Debiasing for Language Models-based Tabular Data Generation.
EMNLP (Findings)
Tianchun Li, Tianci Liu, Xingchen Wang, Rongzhe Wei, Pan Li, Lu Su, Jing Gao
2025 J jnl
Towards Universal Debiasing for Language Models-based Tabular Data Generation.
CoRR
Tianchun Li, Tianci Liu, Xingchen Wang, Rongzhe Wei, Pan Li, Lu Su, Jing Gao
2025 A* conf
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
ICLR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025 J jnl
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
CoRR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2024 A* conf
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.
EMNLP
Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024 A* conf
Counterfactual Fairness by Combining Factual and Counterfactual Predictions.
NeurIPS
Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye
2024 J jnl
Counterfactual Fairness by Combining Factual and Counterfactual Predictions.
CoRR
Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye
2024 J jnl
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
CoRR
Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao
2024 J jnl
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
IEEE Data Eng. Bull.
Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao
2024 A* conf
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
NeurIPS
Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
2024 J jnl
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
CoRR
Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
2024 A* conf
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model.
KDD
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024 J jnl
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model.
CoRR
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024 A* conf
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.
ICML
Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao
2024 J jnl
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.
CoRR
Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao
2024 A* conf
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
ICDE
Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024 J jnl
On the Client Preference of LLM Fine-tuning in Federated Learning.
CoRR
Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao
2024 A ed.
Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024
SDM
Shashi Shekhar, Vagelis Papalexakis, Jing Gao, Zhe Jiang, Matteo Riondato
2024 A* conf
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
EMNLP
Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024 J jnl
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
CoRR
Haoyu Wang, Tianci Liu, Tuo Zhao, Jing Gao
2024 A* conf
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation.
EMNLP
Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
2024 J jnl
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation.
CoRR
Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
2024 A* conf
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales.
EMNLP
Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao
2024 J jnl
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales.
CoRR
Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao
2024 A* conf
Towards Poisoning Fair Representations.
ICLR
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
2023 A* conf
Anchor Sampling for Federated Learning with Partial Client Participation.
ICML
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
2023 J jnl
Concept-Level Model Interpretation From the Causal Aspect.
IEEE Trans. Knowl. Data Eng.
Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
2023 — conf
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.
EMNLP (Findings)
Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao
2023 J jnl
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations.
IEEE Trans. Knowl. Data Eng.
Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2023 A* conf
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
KDD
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023 — conf
MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks.
BCB
Rui Li, Andrew Wen, Jing Gao, Hongfang Liu
2023 — conf
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding.
EMNLP (Findings)
Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao
2023 A* conf
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.
KDD
Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao
2023 A* conf
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.
WWW
Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
2023 A* conf
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.
AAAI
Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao
2023 J jnl
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.
CoRR
Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao
2023 J jnl
Towards Poisoning Fair Representations.
CoRR
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
2022 A* conf
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning.
EMNLP
Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
2022 J jnl
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models.
CoRR
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
2022 J jnl
Constrained Truth Discovery.
IEEE Trans. Knowl. Data Eng.
Chen Ye, Hongzhi Wang, Kangjie Zheng, Youkang Kong, Rong Zhu, Jing Gao, Jianzhong Li
2022 A* conf
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
WWW
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao
2022 A* conf
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses.
ICDM
Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao
2022 A* conf
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).
KDD
Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng
2022 — conf
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners.
NAACL-HLT (Findings)
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao
2022 — conf
Multi-modal Contrastive Learning for Healthcare Data Analytics.
ICHI
Rui Li, Jing Gao
2022 A conf
Textbook Enhanced Student Learning Outcome Prediction.
SDM
Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao
2022 J jnl
Towards the Inference of Travel Purpose with Heterogeneous Urban Data.
IEEE Trans. Big Data
Chuishi Meng, Yu Cui, Qing He, Lu Su, Jing Gao
2021 A conf
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
CIKM
Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao
2021 J jnl
A Survey on Causal Inference.
ACM Trans. Knowl. Discov. Data
Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2021 A* conf
Constrained Truth Discovery (Extended Abstract).
ICDE
Chen Ye, Hongzhi Wang, Kangjie Zheng, Youkang Kong, Rong Zhu, Jing Gao, Jianzhong Li
2021 A* conf
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data.
KDD
Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao
2021 A* conf
Data Poisoning Attacks Against Outcome Interpretations of Predictive Models.
KDD
Hengtong Zhang, Jing Gao, Lu Su
2021 — conf
Deep Staging: An Interpretable Deep Learning Framework for Disease Staging.
ICHI
Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun
2021 J jnl
Deep truth discovery for pattern-based fact extraction.
Inf. Sci.
Chen Ye, Hongzhi Wang, Wenbo Lu, Jing Gao, Guojun Dai
2021 — conf
Explainable Multi-task Flight Arrival Delay Prediction.
ITSC
Tianqi Wang, Lei Lin, Jing Gao
2021 A conf
Fair Classification Under Strict Unawareness.
SDM
Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao
2021 J jnl
Fairness-aware Outlier Ensemble.
CoRR
Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao
2021 Misc conf
Integrating Multimodal Electronic Health Records for Diagnosis Prediction.
AMIA
Rui Li, Fenglong Ma, Jing Gao
2021 — conf
InterHG: an Interpretable and Accurate Model for Hypothesis Generation.
BIBM
Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao
2021 — conf
Knowledge-Guided Paraphrase Identification.
EMNLP (Findings)
Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao
2021 — conf
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework.
EMNLP (Findings)
Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao
2021 J jnl
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework.
CoRR
Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao
2021 J jnl
LiST: Lite Self-training Makes Efficient Few-shot Learners.
CoRR
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
2021 A* conf
Meta Self-training for Few-shot Neural Sequence Labeling.
KDD
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah
2021 A* conf
Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
KDD
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021 J jnl
Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
CoRR
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021 — conf
Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness.
EMNLP (1)
Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li
2021 — conf
RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.
NLPCC (1)
Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen
2021 A conf
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.
CIKM
Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
2021 A* conf
The Third International TrueFact Workshop: Making a Credible Web for Tomorrow.
KDD
Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao
2021 A conf
Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses.
SDM
Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao
2020 J jnl
A Survey on Causal Inference.
CoRR
Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2020 J jnl
Adaptive Self-training for Few-shot Neural Sequence Labeling.
CoRR
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah
2020 A* conf
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data.
KDD
Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao
2020 J jnl
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data.
CoRR
Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao
2020 A* conf
Causal Inference Meets Machine Learning.
KDD
Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020 J jnl
Decomposed Adversarial Learned Inference.
CoRR
Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao
2020 A conf
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning.
CIKM
Yaqing Wang, Fenglong Ma, Jing Gao
2020 J jnl
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning.
CoRR
Yaqing Wang, Fenglong Ma, Jing Gao
2020 J jnl
Extracting Medical Knowledge from Crowdsourced Question Answering Website.
IEEE Trans. Big Data
Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu
2020 A* conf
LP-Explain: Local Pictorial Explanation for Outliers.
ICDM
Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao
2020 J jnl
Multi-source data repairing powered by integrity constraints and source reliability.
Inf. Sci.
Chen Ye, Hongzhi Wang, Kangjie Zheng, Jing Gao, Jianzhong Li
2020 A* conf
Practical Data Poisoning Attack against Next-Item Recommendation.
WWW
Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2020 J jnl
Practical Data Poisoning Attack against Next-Item Recommendation.
CoRR
Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2020 A conf
Rare Disease Prediction by Generating Quality-Assured Electronic Health Records.
SDM
Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou
2020 A conf
Towards Differentially Private Truth Discovery for Crowd Sensing Systems.
ICDCS
Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding
2020 A* conf
Weak Supervision for Fake News Detection via Reinforcement Learning.
AAAI
Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao
2019 A* conf
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.
ICDM
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2019 J jnl
AutoRepair: an automatic repairing approach over multi-source data.
Knowl. Inf. Syst.
Chen Ye, Qi Li, Hengtong Zhang, Hongzhi Wang, Jing Gao, Jianzhong Li
2019 A conf
DTEC: Distance Transformation Based Early Time Series Classification.
SDM
Liuyi Yao, Yaliang Li, YeZheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang
2019 A* conf
Data Poisoning Attack against Knowledge Graph Embedding.
IJCAI
Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
2019 B conf
Deep Hierarchical Knowledge Tracing.
EDM
Tianqi Wang, Fenglong Ma, Jing Gao
2019 — conf
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation.
IEEE BigData
Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao
2019 B conf
Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades.
EDM
Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang
2019 J jnl
Incorporating medical code descriptions for diagnosis prediction in healthcare.
BMC Medical Informatics Decis. Mak.
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2019 — conf
Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors.
BCB
Fenglong Ma, Shiran Zhong, Jing Gao, Ling Bian
2019 A* conf
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.
WWW
Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan
2019 A* conf
Metric Learning on Healthcare Data with Incomplete Modalities.
IJCAI
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang
2019 A* conf
On the Estimation of Treatment Effect with Text Covariates.
IJCAI
Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang
2019 — conf
Online Federated Multitask Learning.
IEEE BigData
Rui Li, Fenglong Ma, Wenjun Jiang, Jing Gao
2019 A* conf
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.
KDD
Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He
2019 J jnl
PatternFinder: Pattern discovery for truth discovery.
Knowl. Based Syst.
Chen Ye, Hongzhi Wang, Tingting Ma, Jing Gao, Hengtong Zhang, Jianzhong Li
2019 J jnl
Privacy-Preserving Truth Discovery in Crowd Sensing Systems.
ACM Trans. Sens. Networks
Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren
2019 J jnl
Towards Confidence Interval Estimation in Truth Discovery.
IEEE Trans. Knowl. Data Eng.
Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
2019 J jnl
Towards Data Poisoning Attack against Knowledge Graph Embedding.
CoRR
Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
2019 J jnl
Weak Supervision for Fake News Detection via Reinforcement Learning.
CoRR
Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao
2018 — conf
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.
BIBM
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2018 J jnl
A deep learning approach for detecting traffic accidents from social media data.
CoRR
Zhenhua Zhang, Qing He, Jing Gao, Ming Ni
2018 — conf
An Attention-based Recurrent Neural Networks Framework for Health Data Analysis.
SEBD
Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri
2018 A* conf
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery.
KDD
Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren
2018 A* conf
Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.
WWW
Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao
2018 A* conf
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.
KDD
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao
2018 J jnl
Finding Similar Medical Questions from Question Answering Websites.
CoRR
Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan
2018 A conf
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.
CIKM
Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao
2018 B conf
Leveraging the Power of Informative Users for Local Event Detection.
ASONAM
Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su
2018 A conf
Online Truth Discovery on Time Series Data.
SDM
Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang
2018 A* conf
Representation Learning for Treatment Effect Estimation from Observational Data.
NeurIPS
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2018 A* conf
Risk Prediction on Electronic Health Records with Prior Medical Knowledge.
KDD
Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang
2018 A* conf
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data.
KDD
Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su
2018 J jnl
Towards Differentially Private Truth Discovery for Crowd Sensing Systems.
CoRR
Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding
2018 J jnl
Towards Quality Aware Information Integration in Distributed Sensing Systems.
IEEE Trans. Parallel Distributed Syst.
Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue (Steve) Liu, Yan Gao, Lance M. Kaplan
2018 A* conf
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction.
KDD
Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han
2018 A conf
Uncorrelated Patient Similarity Learning.
SDM
Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang
2018 A* conf
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors.
ICDM
Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao
2017 A* conf
A Correlated Topic Model Using Word Embeddings.
IJCAI
Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang
2017 Misc conf
A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.
AMIA
Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso
2017 J jnl
A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks.
IEEE Trans. Mob. Comput.
Yaliang Li, Jing Gao, Patrick P. C. Lee, Lu Su, Caifeng He, Cheng He, Fan Yang, Wei Fan
2017 — conf
City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories.
SIGSPATIAL/GIS
Chuishi Meng, Xiuwen Yi, Lu Su, Jing Gao, Yu Zheng
2017 A* conf
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts.
KDD
Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang
2017 A conf
Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification.
SDM
Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga
2017 A* conf
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.
KDD
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
2017 J jnl
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.
CoRR
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
2017 A* conf
Discovering Truths from Distributed Data.
ICDM
Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao
2017 J jnl
Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media.
IEEE Trans. Intell. Transp. Syst.
Ming Ni, Qing He, Jing Gao
2017 A* conf
Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data.
KDD
Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga
2017 — conf
Long-Term Memory Networks for Question Answering.
SML@IJCAI
Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
2017 J jnl
Long-Term Memory Networks for Question Answering.
CoRR
Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
2017 — conf
Personalized disease prediction using a CNN-based similarity learning method.
BIBM
Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao
2017 A conf
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
WSDM
Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun
2017 — conf
Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data.
IEEE BigData
Chuishi Meng, Yu Cui, Qing He, Lu Su, Jing Gao
2017 A* conf
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources.
KDD
Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang
2016 A* conf
A Truth Discovery Approach with Theoretical Guarantee.
KDD
Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu
2016 J jnl
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.
IEEE Trans. Knowl. Data Eng.
Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2016 A conf
Crowdsourcing High Quality Labels with a Tight Budget.
WSDM
Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn
2016 A conf
Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction.
SDM
Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
2016 A* conf
Finding Global Optimum for Truth Discovery: Entropy Based Geometric Variance.
SoCG
Hu Ding, Jing Gao, Jinhui Xu
2016 A* conf
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach.
KDD
Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao
2016 A conf
Influence-Aware Truth Discovery.
CIKM
Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su
2016 A* conf
Mining Reliable Information from Passively and Actively Crowdsourced Data.
KDD
Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han
2016 A conf
Multi-source Hierarchical Prediction Consolidation.
CIKM
Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016 J jnl
Multi-source Hierarchical Prediction Consolidation.
CoRR
Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016 — conf
Risk Factor Analysis Based on Deep Learning Models.
BCB
Qiuling Suo, Hongfei Xue, Jing Gao, Aidong Zhang
2016 B conf
Sparse approximations of directed information graphs.
ISIT
Christopher J. Quinn, Ali Pinar, Jing Gao, Lu Su
2016 A* conf
Topic Discovery for Short Texts Using Word Embeddings.
ICDM
Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang
2016 A* conf
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.
KDD
Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
2015 J jnl
A Similarity-Based Concepts Mapping Method between Ontologies.
IEICE Trans. Inf. Syst.
Jie Liu, Linlin Qin, Jing Gao, Aidong Zhang
2015 J jnl
A Survey on Truth Discovery.
CoRR
Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2015 J jnl
A Survey on Truth Discovery.
SIGKDD Explor.
Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2015 A conf
Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data.
SDM
Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga
2015 Misc conf
Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems.
SenSys
Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren
2015 A* conf
DRN: Bringing Greedy Layer-Wise Training into Time Dimension.
ICDM
Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang
2015 J jnl
Detecting Marionette Microblog Users for Improved Information Credibility.
J. Comput. Sci. Technol.
Xian Wu, Wei Fan, Jing Gao, Ziming Feng, Yong Yu
2015 A* conf
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.
KDD
Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han
2015 A conf
Functional Node Detection on Linked Data.
SDM
Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang
2015 A conf
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data.
SDM
Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han
2015 A* conf
Modeling Truth Existence in Truth Discovery.
KDD
Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han
2015 — conf
Multi-source Information Trustworthiness Analysis.
ICDM Workshops
Houping Xiao, Jing Gao
2015 A* conf
On the Discovery of Evolving Truth.
KDD
Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2015 A conf
OnlineCM: Real-time Consensus Classification with Missing Values.
SDM
Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu
2015 — conf
Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data.
ICDM Workshops
Fenglong Ma, Jing Gao
2015 — conf
Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources.
IEEE BigData
Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
2015 B conf
Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks.
ASONAM
Nan Du, Jing Gao, Liang Ge, Vishrawas Gopalakrishnan, Xiaowei Jia, Kang Li, Aidong Zhang
2015 — conf
Temporal Multi-View Inconsistency Detection for Network Traffic Analysis.
WWW (Companion Volume)
Houping Xiao, Jing Gao, Deepak S. Turaga, Long H. Vu, Alain Biem
2015 J jnl
Tracking Temporal Community Strength in Dynamic Networks.
IEEE Trans. Knowl. Data Eng.
Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang
2015 J jnl
Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.
Proc. VLDB Endow.
Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han
2015 Misc conf
Truth Discovery on Crowd Sensing of Correlated Entities.
SenSys
Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng
2014 J jnl
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.
Proc. VLDB Endow.
Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, Jiawei Han
2014 A conf
A Deep Learning Approach to Link Prediction in Dynamic Networks.
SDM
Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang
2014 A conf
Analysis on Community Variational Trend in Dynamic Networks.
CIKM
Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang
2014 A* conf
Class-distribution regularized consensus maximization for alleviating overfitting in model combination.
KDD
Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu
2014 A conf
Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling.
SDM
Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang
2014 A* conf
Crowdsourcing for Multiple-Choice Question Answering.
AAAI
Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas
2014 — ch.
Ensemble Learning.
Data Classification: Algorithms and Applications
Yaliang Li, Jing Gao, Qi Li, Wei Fan
2014 A conf
Generalized Decision Aggregation in Distributed Sensing Systems.
RTSS
Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance M. Kaplan
2014 A* conf
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data.
ICDM
Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang
2014 J jnl
On handling negative transfer and imbalanced distributions in multiple source transfer learning.
Stat. Anal. Data Min.
Liang Ge, Jing Gao, Hung Q. Ngo, Kang Li, Aidong Zhang
2014 — book
Outlier Detection for Temporal Data
Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han
2014 J jnl
Outlier Detection for Temporal Data: A Survey.
IEEE Trans. Knowl. Data Eng.
Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han
2014 — conf
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.
SIGMOD Conference
Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han
2014 A* conf
Top-K interesting subgraph discovery in information networks.
ICDE
Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han
2013 J jnl
A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models.
IEEE Trans. Knowl. Data Eng.
Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han
2013 A conf
A multimodal framework for unsupervised feature fusion.
CIKM
Xiaoyi Li, Jing Gao, Hui Li, Le Yang, Rohini K. Srihari
2013 — conf
An Ensemble Model for Mobile Device based Arrhythmia Detection.
BCB
Kang Li, Suxin Guo, Jing Gao, Aidong Zhang
2013 J jnl
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams.
IEEE Trans. Knowl. Data Eng.
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza
2013 — conf
Community Distribution Outlier Detection in Heterogeneous Information Networks.
ECML/PKDD (1)
Manish Gupta, Jing Gao, Jiawei Han
2013 — conf
Detecting Marionette Microblog Users for Improved Information Credibility.
ECML/PKDD (3)
Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu
2013 A* conf
Learning, Analyzing and Predicting Object Roles on Dynamic Networks.
ICDM
Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang
2013 A conf
Multi-View Clustering via Joint Nonnegative Matrix Factorization.
SDM
Jing Gao, Jiawei Han, Jialu Liu, Chi Wang
2013 A* conf
Multi-source deep learning for information trustworthiness estimation.
KDD
Liang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang
2013 A* conf
Multilabel Consensus Classification.
ICDM
Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
2013 J jnl
Multilabel Consensus Classification.
CoRR
Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
2013 A conf
OMS-TL: a framework of online multiple source transfer learning.
CIKM
Liang Ge, Jing Gao, Aidong Zhang
2013 A conf
On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning.
SDM
Jing Gao, Liang Ge, Kang Li, Hung Q. Ngo, Aidong Zhang
2013 B conf
On detecting association-based clique outliers in heterogeneous information networks.
ASONAM
Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han
2013 A* conf
Progression Analysis of Community Strengths in Dynamic Networks.
ICDM
Nan Du, Jing Gao, Aidong Zhang
2012 — conf
Community Trend Outlier Detection Using Soft Temporal Pattern Mining.
ECML/PKDD (2)
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
2012 — conf
De-noise biological network from heterogeneous sources via link propagation.
BIBM
Nan Du, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang
2012 A* conf
Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization.
ICDM
Liang Ge, Jing Gao, Xiao Yu, Wei Fan, Aidong Zhang
2012 — conf
Evolutionary analysis of functional modules in dynamic PPI networks.
BCB
Nan Du, Yuan Zhang, Kang Li, Jing Gao, Supriya D. Mahajan, Bindukumar B. Nair, Stanley A. Schwartz, Aidong Zhang
2012 — conf
Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources.
BCB
Liang Ge, Jing Gao, Nan Du, Aidong Zhang
2012 A* conf
Integrating community matching and outlier detection for mining evolutionary community outliers.
KDD
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
2012 — conf
Predicting future popularity trend of events in microblogging platforms.
ASIST
Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han
2012 A conf
Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks.
RTSS
Lu Su, Shaohan Hu, Shen Li, Feng Liang, Jing Gao, Tarek F. Abdelzaher, Jiawei Han
2011 A* conf
A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships.
ICDM
Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han
2011 J jnl
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints.
IEEE Trans. Knowl. Data Eng.
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
2011 J jnl
Cloud-based malware detection for evolving data streams.
ACM Trans. Manag. Inf. Syst.
Mohammad M. Masud, Tahseen Al-Khateeb, Kevin W. Hamlen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
2011 A* conf
Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection.
INFOCOM
Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han
2011 A* conf
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams.
ICDM
Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham
2011 — —
Exploring the power of heterogeneous information sources
Jing Gao
2011 J jnl
Facing the reality of data stream classification: coping with scarcity of labeled data.
Knowl. Inf. Syst.
Mohammad M. Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza
2011 Misc conf
Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks.
SenSys
Lu Su, Jing Gao, Yong Yang, Tarek F. Abdelzaher, Bolin Ding, Jiawei Han
2010 A* conf
Addressing Concept-Evolution in Concept-Drifting Data Streams.
ICDM
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham
2010 — conf
Classification and Novel Class Detection in Data Streams with Active Mining.
PAKDD (2)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
2010 — conf
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space.
ECML/PKDD (2)
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
2010 — conf
Graph Regularized Transductive Classification on Heterogeneous Information Networks.
ECML/PKDD (1)
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao
2010 A* conf
On community outliers and their efficient detection in information networks.
KDD
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han
2009 B conf
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams.
PAKDD
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
2009 — conf
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models.
NIPS
Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han
2009 A* conf
Heterogeneous source consensus learning via decision propagation and negotiation.
KDD
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
2009 — conf
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams.
ECML/PKDD (2)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
2009 A conf
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems.
ICDCS
Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han
2009 A* conf
VideoMule: a consensus learning approach to multi-label classification from noisy user-generated videos.
ACM Multimedia
Chandrasekar Ramachandran, Rahul Malik, Xin Jin, Jing Gao, Klara Nahrstedt, Jiawei Han
2009 A* conf
iTopicModel: Information Network-Integrated Topic Modeling.
ICDM
Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu
2008 A* conf
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data.
ICDM
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
2008 J jnl
Classifying Data Streams with Skewed Class Distributions and Concept Drifts.
IEEE Internet Comput.
Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu
2008 A* conf
Direct mining of discriminative and essential frequent patterns via model-based search tree.
KDD
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure
2008 A* conf
Knowledge transfer via multiple model local structure mapping.
KDD
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
2008 — conf
Peer to peer botnet detection for cyber-security: a data mining approach.
CSIIRW
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
2008 — ch.
Research Challenges for Data Mining in Science and Engineering.
Next Generation of Data Mining
Jiawei Han, Jing Gao
2007 A conf
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions.
SDM
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
2007 A* conf
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice.
ICDM
Jing Gao, Wei Fan, Jiawei Han