Performance evaluation of WiFi Direct for data dissemination in mobile social networks. - Zhifei Mao; Jing Ma 002; Yuming Jiang 001; Bin Yao 002 (ISCC, 2017)

Top-kCritical Vertices Query on Shortest Path. - Jing Ma 002; Bin Yao 002; Xiaofeng Gao 001; Yanyan Shen; Minyi Guo (IEEE Trans. Knowl. Data Eng., 2018)

Selective Sampling for Sensor Type Classification in Buildings. - Jing Ma 002; Dezhi Hong; Hongning Wang (IPSN, 2020)

Learning from Crowds by Modeling Common Confusions. - Zhendong Chu; Jing Ma 002; Hongning Wang (AAAI, 2021)

Multi-Cause Effect Estimation with Disentangled Confounder Representation. - Jing Ma 002; Ruocheng Guo; Aidong Zhang; Jundong Li (IJCAI, 2021)

Deconfounding with Networked Observational Data in a Dynamic Environment. - Jing Ma 002; Ruocheng Guo; Chen Chen 022; Aidong Zhang; Jundong Li (WSDM, 2021)

Learning Causal Effects on Hypergraphs. - Jing Ma 002; Mengting Wan; Longqi Yang; Jundong Li; Brent J. Hecht; Jaime Teevan (KDD, 2022)

CLEAR: Generative Counterfactual Explanations on Graphs. - Jing Ma 002; Ruocheng Guo; Saumitra Mishra; Aidong Zhang; Jundong Li (NeurIPS, 2022)

SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. - Qiang Huang; Jing Ma 002; Jundong Li; Huiyan Sun; Yi Chang 001 (ECML/PKDD (4), 2022)

Empowering Next POI Recommendation with Multi-Relational Modeling. - Zheng Huang; Jing Ma 002; Yushun Dong; Natasha Zhang Foutz; Jundong Li (SIGIR, 2022)

Learning Fair Node Representations with Graph Counterfactual Fairness. - Jing Ma 002; Ruocheng Guo; Mengting Wan; Longqi Yang; Aidong Zhang; Jundong Li (WSDM, 2022)

Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. - Jing Ma 002; Yushun Dong; Zheng Huang; Daniel Mietchen; Jundong Li (WWW, 2022)

Learning Causality with Graphs. - Jing Ma 002; Jundong Li (AI Mag., 2022)

Fairness in Graph Mining: A Survey. - Yushun Dong; Jing Ma 002; Chen Chen 022; Jundong Li (CoRR, 2022)

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. - Yushun Dong; Song Wang 013; Jing Ma 002; Ninghao Liu; Jundong Li (AAAI, 2023)

Fair Few-Shot Learning with Auxiliary Sets. - Song Wang 013; Jing Ma 002; Lu Cheng 001; Jundong Li (ECAI, 2023)

Learning Causal Effects on Hypergraphs (Extended Abstract). - Jing Ma 002; Mengting Wan; Longqi Yang; Jundong Li; Brent J. Hecht; Jaime Teevan (IJCAI, 2023)

Learning for Counterfactual Fairness from Observational Data. - Jing Ma 002; Ruocheng Guo; Aidong Zhang; Jundong Li (KDD, 2023)

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. - Jing Ma 002; Chen Chen 022; Anil Vullikanti; Ritwick Mishra; Gregory Madden; Daniel Borrajo; Jundong Li (KDD, 2023)

Path-Specific Counterfactual Fairness for Recommender Systems. - Yaochen Zhu; Jing Ma 002; Liang Wu 006; Qi Guo; Liangjie Hong; Jundong Li (KDD, 2023)

Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization. - Yaochen Zhu; Jing Ma 002; Jundong Li (CoRR, 2023)

Causal Effect Estimation under Interference on Hypergraphs. - Jing Ma 002; Mengting Wan; Longqi Yang; Jundong Li; Brent J. Hecht; Jaime Teevan (AI Matters, 2023)

Fairness in Graph Mining: A Survey. - Yushun Dong; Jing Ma 002; Song Wang 013; Chen Chen 022; Jundong Li (IEEE Trans. Knowl. Data Eng., 2023)

Causal Inference with Latent Variables: Recent Advances and Future Prospectives. - Yaochen Zhu; Yinhan He; Jing Ma 002; Mengxuan Hu; Sheng Li 001; Jundong Li (KDD, 2024)

View-consistent Object Removal in Radiance Fields. - Yiren Lu 002; Jing Ma 002; Yu Yin 001 (ACM Multimedia, 2024)

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions. - Zhe Hu; Tuo Liang; Jing Li 049; Yiren Lu 002; Yunlai Zhou; Yiran Qiao 001; Jing Ma 002; Yu Yin 001 (NeurIPS, 2024)

SD-Attack: Targeted Spectral Attacks on Graphs. - Xianren Zhang; Jing Ma 002; Yushun Dong; Chen Chen 022; Min Gao 001; Jundong Li (PAKDD (2), 2024)

PyGDebias: A Python Library for Debiasing in Graph Learning. - Yushun Dong; Zhenyu Lei 004; Zaiyi Zheng; Song Wang 013; Jing Ma 002; Alex Jing Huang; Chen Chen 022; Jundong Li (WWW (Companion Volume), 2024)

A survey of out-of-distribution generalization for graph machine learning from a causal view. - Jing Ma 002 (AI Mag., 2024)

A Benchmark for Fairness-Aware Graph Learning. - Yushun Dong; Song Wang 013; Zhenyu Lei 004; Zaiyi Zheng; Jing Ma 002; Chen Chen 022; Jundong Li (CoRR, 2024)

Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. - Qiang Huang; Jing Ma 002; Jundong Li; Ruocheng Guo; Huiyan Sun; Yi Chang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Certified Causal Defense with Generalizable Robustness. - Yiran Qiao 001; Yu Yin 001; Chen Chen 022; Jing Ma 002 (AAAI, 2025)

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables. - Yaochen Zhu; Jing Ma 002; Liang Wu 006; Qi Guo; Liangjie Hong; Jundong Li (ICLR, 2025)

Causal Inference with Large Language Model: A Survey. - Jing Ma 002 (NAACL (Findings), 2025)

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design. - Yuanfu Sun; Zhengnan Ma; Yi Fang; Jing Ma 002; Qiaoyu Tan (NAACL (Findings), 2025)

Invariant Shape Representation Learning for Image Classification. - Tonmoy Hossain; Jing Ma 002; Jundong Li; Miaomiao Zhang 002 (WACV, 2025)

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. - Yinhan He; Wendy Zheng; Yaochen Zhu; Jing Ma 002; Saumitra Mishra; Natraj Raman; Ninghao Liu; Jundong Li (Trans. Mach. Learn. Res., 2025)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models. - Zirui He; Haiyan Zhao 003; Yiran Qiao 001; Fan Yang 023; Ali Payani; Jing Ma 002; Mengnan Du (CoRR, 2025)

CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data. - Disheng Liu; Yiran Qiao 001; Wuche Liu; Yiren Lu 002; Yunlai Zhou; Tuo Liang; Yu Yin 001; Jing Ma 002 (CoRR, 2025)

Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting. - Yiren Lu 002; Yunlai Zhou; Yiran Qiao 001; Chaoda Song; Tuo Liang; Jing Ma 002; Yu Yin 001 (CoRR, 2025)

When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning? - Tuo Liang; Zhe Hu; Jing Li 049; Hao Zhang; Yiren Lu 002; Yunlai Zhou; Yiran Qiao 001; Disheng Liu; Jeirui Peng; Jing Ma 002; Yu Yin 001 (CoRR, 2025)

Counterfactual Visual Explanation via Causally-Guided Adversarial Steering. - Yiran Qiao 001; Disheng Liu; Yiren Lu 002; Yu Yin 001; Mengnan Du; Jing Ma 002 (CoRR, 2025)