| 2026 | ACL | LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models. | Tianchun Li, Haochen Liu, Vishwa Pardeshi, Xingchen Wang, Tianci Liu, Huijun Zhao, Wei Fan, Jing Gao |
| 2026 | INFOCOM | KAT: Knowledge-Context Augmentation for Evolving LLM-Based Telecom Troubleshooting. | Kai Qian, Feng Lyu, Hao Wu, Jing Gao, Shucheng Li, Fan Wu, Qiong Luo, Bowen Chen, Fengyuan Xu |
| 2026 | KDD | Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking. | Xingchen Wang, Feijie Wu, Chenglin Miao, Tianchun Li, Haoyu Hu, Qiming Cao, Jing Gao, Lu Su |
| 2025 | ACNS | One Time is Enough: Chosen-Ciphertext Side-Channel Attack on ML-KEM Cryptosystems. | Yuhan Qian, Jing Gao, Yuchen Zhong, Yaoling Ding, Jingjie Wu, Weiping Gong, Zihe Lin, An Wang |
| 2025 | CogSci | GIBRNet: A Multimodal Spatiotemporal Reasoning Network Integrating Emotion, Gaze, and Position for Gaze Interaction Behavior Recognition. | Junhao Xiao, Jing Gao, Jingxing Zhong, Zhiyu Wu, Yi Chen |
| 2025 | CVPR | DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery. | Jing Gao, Ce Zheng, Lszl A. Jeni, Zackory Erickson |
| 2025 | EMNLP | Towards Universal Debiasing for Language Models-based Tabular Data Generation. | Tianchun Li, Tianci Liu, Xingchen Wang, Rongzhe Wei, Pan Li, Lu Su, Jing Gao |
| 2025 | ICANN | ChiMDQA: Towards Comprehensive Chinese Document QA with Fine-Grained Evaluation. | Jing Gao, Shutiao Luo, Yumeng Liu, Yuanming Li, Hongji Zeng |
| 2025 | ICASSP | Dynamic-static Feature Fusion with Multi-scale Attention for Continuous Blood Glucose Prediction. | Jing Gao, Chenhua Guo, Yingshu Liu, Peng Li, Jianing Zhang, Meng Liu |
| 2025 | ICASSP | Hard Sample Aware Robust Contrastive Learning for Multi-View Clustering. | Yuanzhe Cai, Zhikui Chen, Jing Gao, Peng Li, Jianing Zhang |
| 2025 | ICDM | Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models. | Haoyu Wang, Tianci Liu, Fenglong Ma, Jing Gao |
| 2025 | ICLR | Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. | Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao |
| 2025 | ICLR | Towards Federated RLHF with Aggregated Client Preference for LLMs. | Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao |
| 2025 | ICML | Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. | Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao |
| 2025 | ICML | On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness. | Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang |
| 2025 | INFOCOM | SANE: Safe Charging with Wave Interference. | Yuan Yin, Di Wu, Jing Gao, Jin Yang, Jilin Yang, Tang Liu |
| 2025 | MVA | Unsupervised 3D Braided Hair Reconstruction from a Single-View Image. | Jing Gao |
| 2024 | EMNLP | RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. | Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao |
| 2024 | EMNLP | SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. | Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao |
| 2024 | EMNLP | BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. | Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao |
| 2024 | EMNLP | SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. | Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao |
| 2024 | ICDE | LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. | Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao |
| 2024 | ICLR | Towards Poisoning Fair Representations. | Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao |
| 2024 | ICML | LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. | Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao |
| 2024 | INFOCOM | Dynamic Power Distribution Controlling for Directional Chargers. | Yuzhuo Ma, Di Wu, Jing Gao, Wen Sun, Jilin Yang, Tang Liu |
| 2024 | KDD | FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. | Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao |
| 2024 | NPC | Intelligent Telemetry: P4-Driven Network Telemetry and Service Flow Intelligent Aviation Platform. | Jing Gao, Fanqin Zhou, Mianxiong Dong, Lei Feng, Kaoru Ota, Zijian Li, Jiawei Fan |
| 2023 | AAAI | Towards Reliable Item Sampling for Recommendation Evaluation. | Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu |
| 2023 | AAAI | SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. | Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao |
| 2023 | ACL | Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification. | Tianqi Wang, Lei Chen, Xiaodan Zhu, Younghun Lee, Jing Gao |
| 2023 | EMNLP | HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. | Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao |
| 2023 | EMNLP | Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. | Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao |
| 2023 | ICML | Anchor Sampling for Federated Learning with Partial Client Participation. | Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao |
| 2023 | IJCNN | Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting. | Liwang Zhou, Jing Gao |
| 2023 | ICSE | Automated Feature Document Review via Interpretable Deep Learning. | Ming Ye, Yuanfan Chen, Xin Zhang, Jinning He, Jicheng Cao, Dong Liu, Jing Gao, Hailiang Dai, Shengyu Cheng |
| 2023 | KDD | LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. | Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao |
| 2023 | KDD | Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. | Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao |
| 2023 | KSEM | Explainable Multi-type Item Recommendation System Based on Knowledge Graph. | Chao Chang, Junming Zhou, Weisheng Li, Zhengyang Wu, Jing Gao, Yong Tang |
| 2023 | WWW | Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. | Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao |
| 2022 | ECCV | An Efficient Person Clustering Algorithm for Open Checkout-free Groceries. | Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao |
| 2022 | EMNLP | AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. | Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao |
| 2022 | HPCC | Self-Paced Pseudo Label Refinement for Multi-view Subspace Clustering. | Xin Song, Zhikui Chen, Jing Gao, Jianning Zhang, Peng Li |
| 2022 | HPCC | Multivariate Time Series Imputation Based on Masked Autoencoding with Transformer. | Yongsheng Wang, Hao Xu, Zhiwei Xu, Jing Gao, Yuhao Wu, Zhe Zhang |
| 2022 | ICDM | Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. | Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao |
| 2022 | ICIAP | Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification. | Jing Gao, Tilo Burghardt, Neill W. Campbell |
| 2022 | ICICS | New Results of Breaking the CLS Scheme from ACM-CCS 2014. | Jing Gao, Jun Xu, Tianyu Wang, Lei Hu |
| 2022 | KDD | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). | Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
| 2022 | MICCAI | SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer. | Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu |
| 2022 | NAACL | LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. | Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao |
| 2022 | WWW | FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. | Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao |
| 2022 | SDM | Textbook Enhanced Student Learning Outcome Prediction. | Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao |
| 2021 | AAAI | On Estimating Recommendation Evaluation Metrics under Sampling. | Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu |
| 2021 | AMIA | Integrating Multimodal Electronic Health Records for Diagnosis Prediction. | Rui Li, Fenglong Ma, Jing Gao |
| 2021 | CIKM | A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. | Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao |
| 2021 | CIKM | SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. | Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2021 | EMNLP | Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. | Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao |
| 2021 | EMNLP | Knowledge-Guided Paraphrase Identification. | Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao |
| 2021 | EMNLP | Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. | Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li |
| 2021 | ICDE | Constrained Truth Discovery (Extended Abstract). | Chen Ye, Hongzhi Wang, Kangjie Zheng, Youkang Kong, Rong Zhu, Jing Gao, Jianzhong Li |
| 2021 | ICONIP | Retinal Vessel Segmentation Based on Gated Skip-Connection Network. | Huixia Yao, Yun Jiang, Tongtong Cheng, Jing Gao |
| 2021 | IWCMC | Service Function Chain Deployment for 5G Delay-Sensitive Network Slicing. | Yujing Zhao, Jing Shen, Qi Wang, Sheng Zheng, Kunyi Xie, Jing Gao, Lei Feng |
| 2021 | KDD | Towards a Better Understanding of Linear Models for Recommendation. | Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou |
| 2021 | KDD | The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. | Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao |
| 2021 | KDD | Meta Self-training for Few-shot Neural Sequence Labeling. | Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah |
| 2021 | KDD | Multimodal Emergent Fake News Detection via Meta Neural Process Networks. | Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao |
| 2021 | KDD | Data Poisoning Attacks Against Outcome Interpretations of Predictive Models. | Hengtong Zhang, Jing Gao, Lu Su |
| 2021 | KDD | Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. | Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao |
| 2021 | SDM | Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. | Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao |
| 2021 | SDM | Fair Classification Under Strict Unawareness. | Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao |
| 2021 | SERVICES | A Decentralized Runtime Environment for Service Collaboration: the Architecture and a Case Study. | Jing Gao, Guiling Wang, Zhongguo Yang, Zhuofeng Zhao |
| 2020 | AAAI | Weak Supervision for Fake News Detection via Reinforcement Learning. | Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao |
| 2020 | CIKM | Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. | Yaqing Wang, Fenglong Ma, Jing Gao |
| 2020 | DASC | Image Annotation based on Semantic Structure and Graph Learning. | Zhikui Chen, Meng Wang, Jing Gao, Peng Li |
| 2020 | ICASSP | HDMFH: Hypergraph Based Discrete Matrix Factorization Hashing for Multimodal Retrieval. | Jing Gao, Wenjun Zhang, Zhikui Chen, Fangming Zhong |
| 2020 | ICDCS | Towards Differentially Private Truth Discovery for Crowd Sensing Systems. | Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding |
| 2020 | ICDM | LP-Explain: Local Pictorial Explanation for Outliers. | Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao |
| 2020 | ICONIP | Joint Optic Disc and Optic Cup Segmentation Based on New Skip-Link Attention Guidance Network and Polar Transformation. | Yun Jiang, Jing Gao, Falin Wang |
| 2020 | KDD | Causal Inference Meets Machine Learning. | Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao |
| 2020 | KDD | On Sampling Top-K Recommendation Evaluation. | Dong Li, Ruoming Jin, Jing Gao, Zhi Liu |
| 2020 | KDD | Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. | Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao |
| 2020 | WWW | Practical Data Poisoning Attack against Next-Item Recommendation. | Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao |
| 2020 | SDM | Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. | Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou |
| 2019 | CHI | What Can Gestures Tell?: Detecting Motor Impairment in Early Parkinson's from Common Touch Gestural Interactions. | Feng Tian, Xiangmin Fan, Junjun Fan, Yicheng Zhu, Jing Gao, Dakuo Wang, Xiaojun Bi, Hongan Wang |
| 2019 | COMPSAC | Classification of Pulmonary Nodules by using Improved Convolutional Neural Networks. | Jing Gao, Huanqing Zhang, Ruifang Shen |
| 2019 | DASC | Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning. | Xu Yuan, Jianing Zhang, Zhikui Chen, Jing Gao, Peng Li |
| 2019 | EDM | Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. | Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang |
| 2019 | EDM | Deep Hierarchical Knowledge Tracing. | Tianqi Wang, Fenglong Ma, Jing Gao |
| 2019 | HPCC | Attitude Estimation Algorithm of Abnormal Gait Recognition with Dynamic Step Conjugate Gradient. | Jing Gao, Pei Shang Gu, Qing Ren, Xin Song |
| 2019 | HPCC | Multi-Objective Power Optimization for Full Duplex System Based on Chebyshev Weighting. | Peng Xu, Guangli Liu, Jing Gao, Peishang Gu |
| 2019 | ICDM | ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. | Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2019 | ICONIP | GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis. | Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai, Yi Jing |
| 2019 | IJCAI | Metric Learning on Healthcare Data with Incomplete Modalities. | Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang |
| 2019 | IJCAI | On the Estimation of Treatment Effect with Text Covariates. | Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang |
| 2019 | IJCAI | Data Poisoning Attack against Knowledge Graph Embedding. | Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren |
| 2019 | IJCNN | Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis. | Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao |
| 2019 | ICTAI | Graph-Based Attention Networks for Aspect Level Sentiment Analysis. | Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang Bai |
| 2019 | KDD | Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching. | Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He |
| 2019 | KSEM | RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis. | Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai |
| 2019 | WWW | MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. | Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan |
| 2019 | SDM | DTEC: Distance Transformation Based Early Time Series Classification. | Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2018 | CHI | Implicit Detection of Motor Impairment in Parkinson's Disease from Everyday Smartphone Interactions. | Jing Gao, Feng Tian, Junjun Fan, Dakuo Wang, Xiangmin Fan, Yicheng Zhu, Shuai Ma, Jin Huang, Hongan Wang |
| 2018 | CIKM | KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. | Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao |
| 2018 | ICASSP | A Captcha Design Based on Visual Reasoning. | Haipeng Wang, Feng Zheng, Zhuoming Chen, Yi Lu, Jing Gao, Renjia Wei |
| 2018 | ICDM | eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. | Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao |
| 2018 | ISCAS | Electronic-Photonic Integrated Circuit Design and Crosstalk Modeling for a High Density Multi-Lane MZM Array. | Pengfei Ji, Jing Gao, Wenyi Xu, Yanan Sun, Weifeng He, Hui Wu |
| 2018 | ICTAI | Historical Best Q-Networks for Deep Reinforcement Learning. | Wenwu Yu, Rui Wang, Ruiying Li, Jing Gao, Xiaohui Hu |
| 2018 | KDD | TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. | Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han |
| 2018 | KDD | An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. | Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren |
| 2018 | KDD | Risk Prediction on Electronic Health Records with Prior Medical Knowledge. | Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang |
| 2018 | KDD | EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. | Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao |
| 2018 | KDD | TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. | Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su |
| 2018 | PRICAI | Aircraft Detection in Remote Sensing Images Based on Background Filtering and Scale Prediction. | Jing Gao, Haichang Li, Zhongxing Han, Siyu Wang, Xiaohui Hu |
| 2018 | WWW | Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing. | Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao |
| 2018 | SDM | Uncorrelated Patient Similarity Learning. | Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang |
| 2018 | SDM | Online Truth Discovery on Time Series Data. | Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang |
| 2017 | AMIA | A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. | Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso |
| 2017 | CIS | Image Matching Method Based on Multi-scale Corner Detection. | Jing Gao, Xing-fu Cai |
| 2017 | HCI | Design for Learning Through Play. An Exploratory Study on Chinese Perspective. | Maria Luce Lupetti, Yuan Yao, Jing Gao, Haipeng Mi, Claudio Germak |
| 2017 | ICDM | Discovering Truths from Distributed Data. | Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao |
| 2017 | ICONIP | Robust Adaptive Beamforming in Uniform Circular Array. | Xin Song, Ying Guan, Jinkuan Wang, Jing Gao |
| 2017 | IJCAI | Long-Term Memory Networks for Question Answering. | Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao |
| 2017 | IJCAI | A Correlated Topic Model Using Word Embeddings. | Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang |
| 2017 | KDD | Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. | Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao |
| 2017 | KDD | Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. | Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang |
| 2017 | KDD | Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data. | Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga |
| 2017 | KDD | Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. | Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang |
| 2017 | LAK | Connecting data with student support actions in a course: a hands-on tutorial. | Abelardo Pardo, Roberto Martnez Maldonado, Simon Buckingham Shum, Jurgen Schulte, Simon McIntyre, Dragan Gasevic, Jing Gao, George Siemens |
| 2017 | WSDM | Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. | Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun |
| 2017 | SDM | Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. | Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga |
| 2016 | CIKM | Influence-Aware Truth Discovery. | Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su |
| 2016 | CIKM | Multi-source Hierarchical Prediction Consolidation. | Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu |
| 2016 | CIS | Perturbation Correction Calculation Method for Remote Rendezvous between Non-Coplanar Elliptic Orbits. | Yan Chang, Yong Xian, Jie Li, Daqiao Zhang, Jing Gao |
| 2016 | DASC | ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm. | Jing Gao, Liang Zhao, Zhikui Chen, Peng Li, Han Xu, Yueming Hu |
| 2016 | ICDM | Topic Discovery for Short Texts Using Word Embeddings. | Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang |
| 2016 | ICONIP | A Spectrum Allocation Algorithm Based on Optimization and Protection in Cognitive Radio Networks. | Jing Gao, Jianyu Lv, Xin Song |
| 2016 | ISIT | Sparse approximations of directed information graphs. | Christopher J. Quinn, Ali Pinar, Jing Gao, Lu Su |
| 2016 | KDD | Mining Reliable Information from Passively and Actively Crowdsourced Data. | Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han |
| 2016 | KDD | From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. | Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao |
| 2016 | KDD | Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. | Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang |
| 2016 | KDD | A Truth Discovery Approach with Theoretical Guarantee. | Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu |
| 2016 | WSDM | Crowdsourcing High Quality Labels with a Tight Budget. | Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn |
| 2016 | SDM | Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. | Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu |
| 2015 | FAW | A Data Streams Analysis Strategy Based on Hadoop Scheduling Optimization for Smart Grid Application. | Fengquan Zhou, Xin Song, Yinghua Han, Jing Gao |
| 2015 | ICDM | DRN: Bringing Greedy Layer-Wise Training into Time Dimension. | Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang |
| 2015 | ICDM | Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data. | Fenglong Ma, Jing Gao |
| 2015 | ICDM | Multi-source Information Trustworthiness Analysis. | Houping Xiao, Jing Gao |
| 2015 | ICONIP | Using Genetic Algorithm in Profile-Based Assignment of Applications to Virtual Machines for Greener Data Centers. | Meera Vasudevan, Yu-Chu Tian, Maolin Tang, Erhan Kozan, Jing Gao |
| 2015 | ICONIP | Application of Simulated Annealing to Data Distribution for All-to-All Comparison Problems in Homogeneous Systems. | Yi-Fan Zhang, Yu-Chu Tian, Wayne Kelly, Colin J. Fidge, Jing Gao |
| 2015 | INFOCOM | Composite event coverage in wireless sensor networks with heterogeneous sensors. | Jing Gao, Jianzhong Li, Zhipeng Cai, Hong Gao |
| 2015 | ISNN | Power Control Optimization Method for Transmitted Signals in OFDM Communication Systems. | Jing Gao, Xiaochen Ding, Xin Song |
| 2015 | ISNN | Load Balancing Algorithm Based on Neural Network in Heterogeneous Wireless Networks. | Xin Song, Liangming Wu, Xin Ren, Jing Gao |
| 2015 | KDD | On the Discovery of Evolving Truth. | Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han |
| 2015 | KDD | FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. | Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han |
| 2015 | KDD | Modeling Truth Existence in Truth Discovery. | Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han |
| 2015 | WWW | Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. | Houping Xiao, Jing Gao, Deepak S. Turaga, Long H. Vu, Alain Biem |
| 2015 | SENSYS | Truth Discovery on Crowd Sensing of Correlated Entities. | Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng |
| 2015 | SENSYS | Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. | Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren |
| 2015 | SDM | OnlineCM: Real-time Consensus Classification with Missing Values. | Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu |
| 2015 | SDM | Functional Node Detection on Linked Data. | Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang |
| 2015 | SDM | GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. | Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han |
| 2015 | SDM | Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. | Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga |
| 2014 | AAAI | Crowdsourcing for Multiple-Choice Question Answering. | Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas |
| 2014 | CIKM | Analysis on Community Variational Trend in Dynamic Networks. | Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang |
| 2014 | ICDE | Top-K interesting subgraph discovery in information networks. | Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han |
| 2014 | ICDM | LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data. | Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang |
| 2014 | ISNN | A Massive Sensor Data Streams Multi-dimensional Analysis Strategy Using Progressive Logarithmic Tilted Time Frame for Cloud-Based Monitoring Application. | Xin Song, Cuirong Wang, Yanjun Chen, Jing Gao |
| 2014 | KDD | Class-distribution regularized consensus maximization for alleviating overfitting in model combination. | Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu |
| 2014 | SIGMOD | Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. | Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han |
| 2014 | SDM | A Deep Learning Approach to Link Prediction in Dynamic Networks. | Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang |
| 2014 | SDM | Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. | Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang |
| 2014 | RTSS | Generalized Decision Aggregation in Distributed Sensing Systems. | Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance M. Kaplan |
| 2013 | AAAI | Comprehensive Cross-Hierarchy Cluster Agreement Evaluation. | David M. Johnson, Caiming Xiong, Jing Gao, Jason J. Corso |
| 2013 | CIKM | OMS-TL: a framework of online multiple source transfer learning. | Liang Ge, Jing Gao, Aidong Zhang |
| 2013 | CIKM | A multimodal framework for unsupervised feature fusion. | Xiaoyi Li, Jing Gao, Hui Li, Le Yang, Rohini K. Srihari |
| 2013 | CSCWD | Mobile collaboration technology in engineering asset maintenance: A Delphi study. | Faisal Syafar, Jing Gao |
| 2013 | ICDM | Progression Analysis of Community Strengths in Dynamic Networks. | Nan Du, Jing Gao, Aidong Zhang |
| 2013 | ICDM | Learning, Analyzing and Predicting Object Roles on Dynamic Networks. | Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang |
| 2013 | ICDM | Multilabel Consensus Classification. | Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu |
| 2013 | ISADS | Electric vehicle-based ad-hoc networking for large-scale disasters design principles and prototype development. | Kenichi Mase, Jing Gao |
| 2013 | ISNN | An Intelligent Optimization Algorithm for Power Control in Wireless Communication Systems. | Jing Gao, Jinkuan Wang, Bin Wang, Xin Song |
| 2013 | KDD | Multi-source deep learning for information trustworthiness estimation. | Liang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang |
| 2013 | SDM | On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning. | Jing Gao, Liang Ge, Kang Li, Hung Q. Ngo, Aidong Zhang |
| 2013 | SDM | Multi-View Clustering via Joint Nonnegative Matrix Factorization. | Jing Gao, Jiawei Han, Jialu Liu, Chi Wang |
| 2012 | GLOBECOM | Secrecy broadcast transmission capacity for heterogeneous correlated wireless ad hoc networks. | Xiaohui Sun, Changchuan Yin, Yang Liu, Jing Gao |
| 2012 | ICDM | Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization. | Liang Ge, Jing Gao, Xiao Yu, Wei Fan, Aidong Zhang |
| 2012 | IGARSS | A scanning order design method of jumping spotlight SAR to simplify imaging processing. | Huaping Xu, Zhongyuan Xiao, Jing Gao, Chunsheng Li, Ze Yu |
| 2012 | KDD | Integrating community matching and outlier detection for mining evolutionary community outliers. | Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han |
| 2012 | RTSS | Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks. | Lu Su, Shaohan Hu, Shen Li, Feng Liang, Jing Gao, Tarek F. Abdelzaher, Jiawei Han |
| 2011 | ICDM | A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships. | Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han |
| 2011 | ICDM | Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. | Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham |
| 2011 | INFOCOM | Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection. | Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han |
| 2011 | SENSYS | Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks. | Lu Su, Jing Gao, Yong Yang, Tarek F. Abdelzaher, Bolin Ding, Jiawei Han |
| 2010 | ADMA | Formal Concept Analysis Based Clustering for Blog Network Visualization. | Jing Gao, Wei Lai |
| 2010 | ICDM | Addressing Concept-Evolution in Concept-Drifting Data Streams. | Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham |
| 2010 | KDD | On community outliers and their efficient detection in information networks. | Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han |
| 2010 | PAKDD | Classification and Novel Class Detection in Data Streams with Active Mining. | Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham |
| 2010 | VTC | Directional Relay with Spatial Time Slot Scheduling for mmWave WPAN Systems. | Zhou Lan, Junyi Wang, Jing Gao, Chin-Sean Sum, Fumihide Kojima, Tuncer Baykas, Hiroshi Harada, Shuzo Kato |
| 2010 | WCNC | A Pro-Active Beamforming Protocol for Multi-Gbps Millimeter-Wave WPAN Systems. | Junyi Wang, Zhou Lan, Chang Woo Pyo, Tuncer Baykas, Chin-Sean Sum, Mohammad Azizur Rahman, Jing Gao, Ryuhei Funada, Fumihide Kojima, Hiroshi Harada, Shuzo Kato |
| 2009 | ICDCS | Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems. | Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han |
| 2009 | ICDM | iTopicModel: Information Network-Integrated Topic Modeling. | Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu |
| 2009 | ICIG | Visualization of Blog Network by a Keyword Based Graph with Interactive Filtering. | Jing Gao, Wei Lai |
| 2009 | KDD | Heterogeneous source consensus learning via decision propagation and negotiation. | Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han |
| 2009 | PAKDD | A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. | Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham |
| 2009 | PIMRC | Antenna space diversity and polarization mismatch in wideband 60GHz-Millimeter-wave wireless system. | Yi Jiang, Keren Li, Jing Gao, Hiroshi Harada |
| 2009 | VTC | Beamforming Codebook Design and Performance Evaluation for 60GHz Wideband WPANs. | Junyi Wang, Zhou Lan, Chin-Sean Sum, Chang Woo Pyo, Jing Gao, Tuncer Baykas, Mohammad Azizur Rahman, Ryuhei Funada, Fumihide Kojima, Ismail Lakkis, Hiroshi Harada, Shuzo Kato |
| 2009 | WCNC | Deflect routing for throughput improvement in muti-hop millimeter-wave WPAN system. | Zhou Lan, Chin-Sean Sum, Junyi Wang, Tuncer Baykas, Jing Gao, Hiroyuki Nakase, Hiroshi Harada, Shuzo Kato |
| 2008 | ICDM | A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. | Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham |
| 2008 | KDD | Direct mining of discriminative and essential frequent patterns via model-based search tree. | Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure |
| 2008 | KDD | Knowledge transfer via multiple model local structure mapping. | Jing Gao, Wei Fan, Jing Jiang, Jiawei Han |
| 2007 | ICDM | On Appropriate Assumptions to Mine Data Streams: Analysis and Practice. | Jing Gao, Wei Fan, Jiawei Han |
| 2007 | SDM | A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. | Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu |
| 2006 | ICDM | Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. | Jing Gao, Pang-Ning Tan |
| 2006 | PAKDD | Multistep-Ahead Time Series Prediction. | Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps |
| 2006 | SAC | Semi-supervised outlier detection. | Jing Gao, Haibin Cheng, Pang-Ning Tan |
| 2006 | SDM | A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. | Jing Gao, Haibin Cheng, Pang-Ning Tan |
| 2006 | SDM | Semi-Supervised Clustering with Partial Background Information. | Jing Gao, Pang-Ning Tan, Haibin Cheng |
| 2005 | PAKDD | An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. | Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan |
| 2004 | CIS | Text Retrieval Using Sparsified Concept Decomposition Matrix. | Jing Gao, Jun Zhang |