Gao, Jing

30 publications

CVPR 2025 DiSRT-in-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery Jing Gao, Ce Zheng, Laszlo A. Jeni, Zackory Erickson

ICML 2025 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

ICML 2025 On the Alignment Between Fairness and Accuracy: From the Perspective of Adversarial Robustness Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang

ICLR 2025 Towards Federated RLHF with Aggregated Client Preference for LLMs Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao

ICLR 2025 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

NeurIPS 2024 Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye

NeurIPS 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao

ICML 2024 LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao

NeurIPS 2024 Model LEGO: Creating Models like Disassembling and Assembling Building Blocks Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song

ICLR 2024 Towards Poisoning Fair Representations Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

ICML 2023 Anchor Sampling for Federated Learning with Partial Client Participation Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao

AAAI 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

AAAI 2023 Towards Reliable Item Sampling for Recommendation Evaluation Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu

ECCV 2022 An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao

NeurIPSW 2022 Variational Graph Auto-Encoders for Heterogeneous Information Network Abhishek Dalvi, Ayan Acharya, Jing Gao, Vasant G Honavar

AAAI 2021 On Estimating Recommendation Evaluation Metrics Under Sampling Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu

AAAI 2020 Weak Supervision for Fake News Detection via Reinforcement Learning Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao

IJCAI 2019 Data Poisoning Attack Against Knowledge Graph Embedding Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

IJCAI 2019 Metric Learning on Healthcare Data with Incomplete Modalities Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang

IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang

NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

IJCAI 2017 A Correlated Topic Model Using Word Embeddings Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang

AAAI 2014 Crowdsourcing for Multiple-Choice Question Answering Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas

ECML-PKDD 2013 Community Distribution Outlier Detection in Heterogeneous Information Networks Manish Gupta, Jing Gao, Jiawei Han

ECML-PKDD 2013 Detecting Marionette Microblog Users for Improved Information Credibility Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu

ECML-PKDD 2012 Community Trend Outlier Detection Using Soft Temporal Pattern Mining Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han

ECML-PKDD 2010 Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham

ECML-PKDD 2010 Graph Regularized Transductive Classification on Heterogeneous Information Networks Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao

NeurIPS 2009 Graph-Based Consensus Maximization Among Multiple Supervised and Unsupervised Models Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han

ECML-PKDD 2009 Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham