Ma, Jing

36 publications

AAAI 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models Peihai Jiang, Xixiang Lyu, Yige Li, Jing Ma

ICLR 2025 Causal Effect Estimation with Mixed Latent Confounders and Post-Treatment Variables Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

AAAI 2025 Certified Causal Defense with Generalizable Robustness Yiran Qiao, Yu Yin, Chen Chen, Jing Ma

NeurIPS 2025 Decoupled Entropy Minimization Jing Ma, Hanlin Li, Xiang Xiang

TMLR 2025 Global Graph Counterfactual Explanation: A Subgraph Mapping Approach Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li

WACV 2025 Invariant Shape Representation Learning for Image Classification Tonmoy Hossain, Jing Ma, Jundong Li, Miaomiao Zhang

ICLRW 2025 MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models Shengkang Wang, Hongzhan Lin, Ziyang Luo, Zhen Ye, Guang Chen, Jing Ma

ICLRW 2025 MMCode: Benchmarking Multimodal Large Language Models in Code Generation with Visually Rich Programming Problems Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, Jing Ma

AAAI 2025 Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers Ruofei Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan

ICML 2025 PTTA: Purifying Malicious Samples for Test-Time Model Adaptation Jing Ma, Hanlin Li, Xiang Xiang

ICLRW 2025 ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use Kaixin Li, Meng Ziyang, Hongzhan Lin, Ziyang Luo, Yuchen Tian, Jing Ma, Zhiyong Huang, Tat-Seng Chua

NeurIPS 2025 Segment Then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting Yiren Lu, Yunlai Zhou, Yiran Qiao, Chaoda Song, Tuo Liang, Jing Ma, Huan Wang, Yu Yin

CVPR 2025 VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis Through User Simulation Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan Kankanhalli, Junnan Li

TMLR 2024 A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law Zhiyu Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian McAuley, Linda Ruth Petzold, William Yang Wang

CVPR 2024 Aligning Logits Generatively for Principled Black-Box Knowledge Distillation Jing Ma, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li

NeurIPSW 2024 Beyond Directed Acyclic Computation Graph with Cyclic Neural Network Liangwei Yang, Hengrui Zhang, Weizhi Zhang, Zihe Song, Jing Ma, Jiawei Zhang, Philip S. Yu

NeurIPS 2024 Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma, Yu Yin

ICML 2024 GNNs Also Deserve Editing, and They Need It More than Once Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu

CVPR 2024 Improved Self-Training for Test-Time Adaptation Jing Ma

AAAI 2024 When Causal Inference Meets Graph Machine Learning Jing Ma

ICLR 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

AAAI 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

IJCAI 2023 Learning Causal Effects on Hypergraphs (Extended Abstract) Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan

ICCV 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

AAAI 2023 Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu

NeurIPS 2022 CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li

ECCV 2022 Coarse-to-Fine Incremental Few-Shot Learning Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan Yuille, Gregory D. Hager

ECML-PKDD 2022 SemiITE: Semi-Supervised Individual Treatment Effect Estimation via Disagreement-Based Co-Training Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang

NeurIPS 2021 Federated Graph Classification over Non-IID Graphs Han Xie, Jing Ma, Li Xiong, Carl Yang

AAAI 2021 Learning from Crowds by Modeling Common Confusions Zhendong Chu, Jing Ma, Hongning Wang

IJCAI 2021 Multi-Cause Effect Estimation with Disentangled Confounder Representation Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li

IJCAI 2021 Private Stochastic Non-Convex Optimization with Improved Utility Rates Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong

IJCAI 2020 Attention-Based Multi-Level Feature Fusion for Named Entity Recognition Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang

ECML-PKDD 2020 Spatio-Temporal Tensor Sketching via Adaptive Sampling Jing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong

IJCAI 2016 Detecting Rumors from Microblogs with Recurrent Neural Networks Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha

JMLR 2016 Joint Structural Estimation of Multiple Graphical Models Jing Ma, George Michailidis