| 2026 | AAAI | CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models. | Yuefei Chen, Vivek K. Singh, Jing Ma, Ruixiang Tang |
| 2026 | AAAI | Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification. | Chenhao Dang, Jing Ma |
| 2026 | AAAI | Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification. | Meiting Xue, Miaoqi Li, Yukun Shi, Yan Zeng, Jilin Zhang, Jing Ma |
| 2026 | ACL | DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs. | Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma |
| 2026 | ACL | Ranking Reasoning LLMs under Test-Time Scaling. | Mohsen Hariri, Michael Hinczewski, Jing Ma, Vipin Chaudhary |
| 2026 | ACL | REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control. | Chuyi Kong, Wei Gao, Jing Ma, Hongzhan Lin, Yuxi Sun |
| 2026 | ACL | From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms. | Jinghao Luo, Yuchen Tian, Chuxue Cao, Ziyang Luo, Hongzhan Lin, Kaixin Li, Chuyi Kong, Ruichao Yang, Jing Ma |
| 2026 | ACL | FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning. | Yuxi Sun, Aoqi Zuo, Haotian Xie, Wei Gao, Mingming Gong, Jing Ma |
| 2026 | ACL | Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection. | Ruichao Yang, Yufan Bian, Wei Gao, Bowen Zhang, Jing Ma, Hongzhan Lin, Ziyang Luo, Xiaobin Zhu, Xucheng Yin |
| 2026 | ACL | Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework. | Ziqiang Zhang, Jing Ma, Zilong Wang, Jiayuan Chen, Yi Qiao, Yu He, Wei Zhang, Dai Cheng, Xiaoyu Shen |
| 2026 | COMPSAC | Location-Based Wi-Fi AP Discovery Optimization for Vehicle-to-Infrastructure Communication. | Hitoshi Morioka, Jing Ma, Yasuo Okabe |
| 2026 | KDD | Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning. | Chenhao Dang, Jing Ma, Mingjie Liao |
| 2026 | KDD | LLM-based Few-Shot Early Rumor Detection with Imitation Agent. | Fengzhu Zeng, Qian Shao, Ling Cheng, Wei Gao, Shih-Fen Cheng, Jing Ma, Cheng Niu |
| 2026 | WSDM | Explaining the 'Unexplainable' Large Language Models. | Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu |
| 2025 | AAAI | Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models. | Peihai Jiang, Xixiang Lyu, Yige Li, Jing Ma |
| 2025 | AAAI | Certified Causal Defense with Generalizable Robustness. | Yiran Qiao, Yu Yin, Chen Chen, Jing Ma |
| 2025 | AAAI | 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 |
| 2025 | ACL | FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. | Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ACL | AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma |
| 2025 | ACL | SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs. | Chuyi Kong, Ziyang Luo, Hongzhan Lin, Zhiyuan Fan, Yaxin Fan, Yuxi Sun, Jing Ma |
| 2025 | ACL | Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models. | Ziyang Luo, Kaixin Li, Hongzhan Lin, Yuchen Tian, Mohan S. Kankanhalli, Jing Ma |
| 2025 | ACL | ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. | Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang |
| 2025 | ACL | Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. | Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang |
| 2025 | ACL | CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention. | Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma |
| 2025 | ACL | CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation. | Nengbo Wang, Xiaotian Han, Jagdip Singh, Jing Ma, Vipin Chaudhary |
| 2025 | COLING | CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? | Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma |
| 2025 | CVPR | VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation. | Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan S. Kankanhalli, Junnan Li |
| 2025 | EMNLP | MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Yayue Deng, Jing Ma |
| 2025 | EMNLP | MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique. | Gailun Zeng, Ziyang Luo, Hongzhan Lin, Yuchen Tian, Kaixin Li, Ziyang Gong, Jianxiong Guo, Jing Ma |
| 2025 | HCI | Building Beyond Blocks: User-Centered Innovations in LEGO Design for Unleashing Creativity and Play. | Mengyuan Chen, Xipan Li, Yuqi Wang, Yuxin Jiang, Huiwen Li, Wei Liu, Mingze Sun, Liwei Wang, Xinpeng Wang, Jialin Wei, Xinyu Yang, Yinan Yang, Ziwei Yang, Xiangyi Zhu, Jing Ma, Mengzhen Xiao, Taiyu Huang, Jingpeng Jia, Ruonan Huang, Wei Liu |
| 2025 | ICLR | Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables. | Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |
| 2025 | ICML | PTTA: Purifying Malicious Samples for Test-Time Model Adaptation. | Jing Ma, Hanlin Li, Xiang Xiang |
| 2025 | IJCNLP | Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms. | Yuxi Sun, Wei Gao, Hongzhan Lin, Jing Ma, Wenxuan Zhang |
| 2025 | KDD | Fairness-Aware Graph Learning: A Benchmark. | Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li |
| 2025 | NAACL | ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges. | Rao Fu, Ziyang Luo, Hongzhan Lin, Zhen Ye, Jing Ma |
| 2025 | NAACL | Causal Inference with Large Language Model: A Survey. | Jing Ma |
| 2025 | NAACL | GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design. | Yuanfu Sun, Zhengnan Ma, Yi Fang, Jing Ma, Qiaoyu Tan |
| 2025 | WACV | Invariant Shape Representation Learning for Image Classification. | Tonmoy Hossain, Jing Ma, Jundong Li, Miaomiao Zhang |
| 2024 | AAAI | When Causal Inference Meets Graph Machine Learning. | Jing Ma |
| 2024 | ACCV | Masking Cascaded Self-attentions for Few-Shot Font-Generation Transformer. | Jing Ma, Xiang Xiang, Yan He |
| 2024 | ACL | CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. | Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen |
| 2024 | ACL | Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. | Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang |
| 2024 | CVPR | Aligning Logits Generatively for Principled Black-Box Knowledge Distillation. | Jing Ma, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li |
| 2024 | CVPR | Improved Self-Training for Test-Time Adaptation. | Jing Ma |
| 2024 | EMNLP | Towards Low-Resource Harmful Meme Detection with LMM Agents. | Jianzhao Huang, Hongzhan Lin, Ziyan Liu, Ziyang Luo, Guang Chen, Jing Ma |
| 2024 | EMNLP | MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems. | Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, Jing Ma |
| 2024 | EMNLP | AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. | Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing |
| 2024 | ICASSP | Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. | Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma |
| 2024 | ICASSP | Beyond the Snowfall: Enhancing Snowy Day Object Detection Through Progressive Restoration and Multi-Feature Fusion. | Zhong Wang, Gang Zhou, Jing Ma, Tianhao Xue, Zhenhong Jia |
| 2024 | ICASSP | A Speaker Recognition Method Based on Stable Learning. | Jian Zhang, Jing Ma, Xiaochen Guo, Lin Li, Liang He |
| 2024 | ICIP | Joint Image Restoration For Domain Adaptive Object Detection In Foggy Weather Condition. | Jing Ma, Meng Lin, Gang Zhou, Zhenhong Jia |
| 2024 | ICLR | 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 |
| 2024 | ICML | GNNs Also Deserve Editing, and They Need It More Than Once. | Shaochen (Henry) 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 |
| 2024 | ICPR | TBIA-DBNet: A Two-Branch Image-Adaptive DBNet for Scene Text Detection in Real-World Foggy Scenes. | Zhaoxi Liu, Gang Zhou, Runlin He, Mengnan Zhang, Zhenhong Jia, Jing Ma |
| 2024 | IJCNN | Enhancing Abstractive Dialogue Summarization with Internal Knowledge. | Shaolei Wang, Hanhan Ma, Yunxiang Zhang, Jing Ma, Liang He |
| 2024 | KDD | Causal Inference with Latent Variables: Recent Advances and Future Prospectives. | Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li |
| 2024 | PAKDD | SD-Attack: Targeted Spectral Attacks on Graphs. | Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li |
| 2024 | WCNC | Implementation and Evaluation of Semantic Communication on SDR Based LoRa Platform. | Jing Ma, Dongyang Xu, Tiantian Zhang, Keping Yu |
| 2024 | WWW | PyGDebias: A Python Library for Debiasing in Graph Learning. | Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li |
| 2024 | WWW | Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. | Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang |
| 2024 | WWW | Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. | Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang |
| 2024 | WWW | DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. | Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong |
| 2023 | AAAI | Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. | Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li |
| 2023 | AAAI | Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. | Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu |
| 2023 | CIKM | Graph-based Alignment and Uniformity for Recommendation. | Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu |
| 2023 | ECAI | Fair Few-Shot Learning with Auxiliary Sets. | Song Wang, Jing Ma, Lu Cheng, Jundong Li |
| 2023 | EMNLP | Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. | Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen |
| 2023 | EMNLP | KAPALM: Knowledge grAPh enhAnced Language Models for Fake News Detection. | Jing Ma, Chen Chen, Chunyan Hou, Xiaojie Yuan |
| 2023 | EMNLP | WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. | Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang |
| 2023 | GLOBECOM | LEO Satellite Communication Simulation Framework for Connected Vehicles. | Jing Ma, Lei Zhong, Ryokichi Onishi |
| 2023 | ICASSP | I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning. | Ziyang Luo, Zhipeng Hu, Yadong Xi, Rongsheng Zhang, Jing Ma |
| 2023 | ICCV | 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 |
| 2023 | IJCAI | Learning Causal Effects on Hypergraphs (Extended Abstract). | Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan |
| 2023 | Interspeech | A Study on Visualization of Voiceprint Feature. | Jian Zhang, Liang He, Xiaochen Guo, Jing Ma |
| 2023 | KDD | Learning for Counterfactual Fairness from Observational Data. | Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li |
| 2023 | KDD | A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. | Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li |
| 2023 | KDD | Path-Specific Counterfactual Fairness for Recommender Systems. | Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |
| 2023 | WCNC | Deep Radio Frequency Fingerprinting Based on Wavelet Scattering Network. | Jing Ma, Pinyi Ren, Tiantian Zhang, Zhanyi Ren, Dongyang Xu |
| 2023 | WWW | Graph-based Village Level Poverty Identification. | Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu |
| 2022 | COLING | A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. | Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang |
| 2022 | ECCV | Coarse-To-Fine Incremental Few-Shot Learning. | Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan L. Yuille, Gregory D. Hager |
| 2022 | EMNLP | Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval. | Ziyang Luo, Yadong Xi, Rongsheng Zhang, GongZheng Li, Zeng Zhao, Jing Ma |
| 2022 | IJCNN | AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. | Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen |
| 2022 | KDD | Learning Causal Effects on Hypergraphs. | Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan |
| 2022 | NAACL | Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. | Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen |
| 2022 | NAACL | DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks. | Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang |
| 2022 | WWW | Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. | Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li |
| 2022 | SIGIR | Empowering Next POI Recommendation with Multi-Relational Modeling. | Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li |
| 2022 | SIGIR | A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. | Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao |
| 2022 | WSDM | Learning Fair Node Representations with Graph Counterfactual Fairness. | Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li |
| 2021 | AAAI | Learning from Crowds by Modeling Common Confusions. | Zhendong Chu, Jing Ma, Hongning Wang |
| 2021 | CIKM | Temporal Network Embedding via Tensor Factorization. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2021 | EMNLP | HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. | Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang |
| 2021 | EMNLP | Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. | Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen |
| 2021 | ICDM | Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho |
| 2021 | IJCAI | Multi-Cause Effect Estimation with Disentangled Confounder Representation. | Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li |
| 2021 | IJCAI | Private Stochastic Non-convex Optimization with Improved Utility Rates. | Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong |
| 2021 | PERCOM | Camouflage Learning. | Stephan Sigg, Le Ngu Nguyen, Jing Ma |
| 2021 | WWW | Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2021 | SIGIR | ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. | Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu |
| 2021 | WSDM | Deconfounding with Networked Observational Data in a Dynamic Environment. | Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li |
| 2020 | COLING | Debunking Rumors on Twitter with Tree Transformer. | Jing Ma, Wei Gao |
| 2020 | EMNLP | AnswerFact: Fact Checking in Product Question Answering. | Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam |
| 2020 | ICCE | An Exploration of the Significance, Challenges, and Solutions of the E-learning Platform for Middle School Teachers' Professional Development. | Jing Ma, Xibei Xiong |
| 2020 | IJCAI | Attention-based Multi-level Feature Fusion for Named Entity Recognition. | Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang |
| 2020 | WWW | Review-guided Helpful Answer Identification in E-commerce. | Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma |
| 2019 | ACL | Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks. | Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong |
| 2019 | CIKM | Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. | Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang |
| 2019 | GLOBECOM | Online Incentive Mechanism Design for Collaborative Offloading in Mobile Edge Computing. | Gang Li, Jun Cai, Jing Ma |
| 2019 | PRICAI | Machine Learning Based Cross-border E-Commerce Commodity Customs Product Name Recognition Algorithm. | Jing Ma, Xiaofeng Li, Chi Li, Bo He, Xiaoyu Guo |
| 2019 | WWW | Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning. | Jing Ma, Wei Gao, Kam-Fai Wong |
| 2018 | ACL | Rumor Detection on Twitter with Tree-structured Recursive Neural Networks. | Jing Ma, Wei Gao, Kam-Fai Wong |
| 2018 | AMIA | RegionAl: an Optimized Regional Classifier to Predict Mortality in Chronic Obstructive Pulmonary Disease Patients. | Haohan Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Jing Ma, Li Zhou, David W. Bates |
| 2018 | HCI | From Interpretation to Deduction: A Study on the Experience Design Method of Digitized Communication of Cultural Heritage. | Zhigang Chen, Jing Ma |
| 2018 | ICARCV | On the Timing of Operator Commands for the Navigation of a Robot Swarm. | Jing Ma, Edmund M.-K. Lai, Jun Ren |
| 2018 | ICARCV | Robust Skeleton-based Action Recognition through Hierarchical Aggregation of Local and Global Spatio-temporal Features. | Jun Ren, Napoleon H. Reyes, Andre L. C. Barczak, Chris Scogings, Mingzhe Liu, Jing Ma |
| 2018 | IJCNN | CS-CL: A Flocking Model That Incorporates The Bio-inspired Chorus-Line Effect. | Jing Ma, Edmund M.-K. Lai, WenWang Pang |
| 2018 | WWW | Detect Rumor and Stance Jointly by Neural Multi-task Learning. | Jing Ma, Wei Gao, Kam-Fai Wong |
| 2017 | ACL | Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. | Jing Ma, Wei Gao, Kam-Fai Wong |
| 2017 | HCI | Research on the Experiential Communication of Digital Humanities and Information Visualization: A Case Study of Iconography Measurement. | Zhigang Chen, Jing Ma |
| 2017 | ISCC | Performance evaluation of WiFi Direct for data dissemination in mobile social networks. | Zhifei Mao, Jing Ma, Yuming Jiang, Bin Yao |
| 2017 | VTC | Energy Efficient Radio Resource Allocation Scheme Using Receiver Puncturing Technique for 5G Networks. | Haesik Kim, Gabriel Porto Villardi, Jing Ma |
| 2016 | IJCAI | Detecting Rumors from Microblogs with Recurrent Neural Networks. | Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha |
| 2015 | CIKM | Detect Rumors Using Time Series of Social Context Information on Microblogging Websites. | Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, Kam-Fai Wong |
| 2015 | PIMRC | Proposal and performance evaluation of TVWS-Wi-SUN system. | Jing Ma, Hiroshi Harada, Fumihide Kojima |
| 2015 | UIC | Underground Magnetic Localization Method and Optimization Based on Simulated Annealing Algorithm. | Qiwei Huang, Xiaotong Zhang, Jing Ma |
| 2015 | UIC | BER Analysis of BPSK Based Magneto-Inductive Communication System in Clay Channel. | Qiwei Huang, Xiaotong Zhang, Jing Ma |
| 2015 | UIC | Sparse Multi-target Localization and Tracking in Wireless Sensor Network. | Zuoxin Xiahou, Xiaotong Zhang, Jing Ma |
| 2013 | ICNC | Network backbone anomaly detection using double random forests based on non-extensive entropy feature extraction. | Meijuan Yin, Dong Yao, Junyong Luo, Xiaonan Liu, Jing Ma |
| 2012 | FUSION | Distributed fusion filter for asynchronous multi-rate multi-sensor non-uniform sampling systems. | Jing Ma, Honglei Lin, Shuli Sun |
| 2012 | FUSION | Distributed fusion filter for multi-sensor systems with random sensor delays, multiple packet dropouts and uncertain observations. | Jing Ma, Shuli Sun |
| 2012 | PIMRC | A directional MAC protocol with the DATA-frame fragmentation and short busy advertisement signal for mitigating the directional hidden node problem. | Sho Motegi, Hiroo Sekiya, Jing Ma, Kosuke Sanada, Shiro Sakata |
| 2009 | DCC | Dual-Direction Prediction Vector Quantization for Lossless Compression of LASIS Data. | Jing Ma, Chengke Wu, Yunsong Li, Keyan Wang |
| 2009 | HIS | General Controller for a Class of Singular System Simultaneous Stabilization. | Jing Ma, Zhiwei Gao |
| 2009 | HIS | Strong Simultaneous Stabilization for a Class of Generalized Linear System. | Jing Ma, Kun Ma |
| 2008 | PIMRC | Spectrum sensing based on linear self-signal elimination for opportunistic spectrum access. | Dong Chen, Jiandong Li, Jing Ma |
| 2008 | WCNC | In-Band Sensing without Quiet Period in Cognitive Radio. | Dong Chen, Jiandong Li, Jing Ma |
| 2007 | DCC | Interference Multispectral Image Compression with Adaptive Distortion Control in Fourier Domain. | Jing Ma, Chengke Wu, Dong Chen, Jie Guo |
| 2007 | ICPP | Multiuser Power and Channel Allocation Algorithm in Cognitive Radio. | Jiandong Li, Dong Chen, Weiying Li, Jing Ma |
| 2006 | AINA | Multiple access protocol for WLAN based on adaptive token passing with fairness guarantee. | Chen Dong, Jiandong Li, Jing Ma |
| 2006 | FCCM | Hardware/Software Co-Design Architecture for Lattice Decoding Algorithms. | Cao Liang, Jing Ma, Xinming Huang |
| 2006 | ICARCV | Optimal Fusion Reduced-Order Kalman Filters Weighted by Scalars for Stochastic Singular Systems. | Shuli Sun, Jing Ma, Wendong Xiao |
| 2005 | FCCM | A System-on-Programmable Chip Approach for MIMO Sphere Decoder. | Jing Ma, Xinming Huang |