| 2026 | AAAI | Potential Outcome Rankings for Counterfactual Decision Making. | Yuta Kawakami, Jin Tian |
| 2025 | AAAI | Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies. | Hyunchai Jeong, Adiba Ejaz, Jin Tian, Elias Bareinboim |
| 2025 | AAAI | Mediation Analysis for Probabilities of Causation. | Yuta Kawakami, Jin Tian |
| 2025 | AISTATS | Graph-based Complexity for Causal Effect by Empirical Plug-in. | Rina Dechter, Anna Raichev, Jin Tian, Alexander Ihler |
| 2025 | CSCWD | Carchain: A Blockchain-Based Federated Learning Optimization Scheme in Autonomous-Driving Scenario. | Ruizhong Du, Mengze Zhang, Jin Tian |
| 2025 | ICDM | Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. | Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy |
| 2025 | ICML | Causal Logistic Bandits with Counterfactual Fairness Constraints. | Jiajun Chen, Jin Tian, Christopher John Quinn |
| 2025 | PAKDD | Adaptive Weight Assignment for Adversarial Training Based on Predicted Class Probabilities Across Different Attacks and Perturbation Sizes. | Modeste Atsague, Jin Tian, Olukorede Fakorede |
| 2025 | UAI | Moments of Causal Effects. | Yuta Kawakami, Jin Tian |
| 2025 | UAI | Decomposition of Probabilities of Causation with Two Mediators. | Yuta Kawakami, Jin Tian |
| 2025 | SSDBM | Scalable Tabular Dataset Labeling with Language Models. | Yaojie Hu, Ilias Fountalis, Jin Tian, Nikolaos Vasiloglou |
| 2024 | ECAI | Estimating Causal Effects from Learned Causal Networks. | Anna Raichev, Jin Tian, Alexander Ihler, Rina Dechter |
| 2024 | IGARSS | Weak and Small Group Target Tracking Method Based on Multi-Dimensional Screening of Point Traces. | Jin Tian, Yun Zhang, Dai Gao, Haoxuan Yuan, Weimin Kong, Long Li |
| 2024 | IGARSS | A Novel Moving Ship Target Refocusing Algorithm by HFSWR Information Assisted SAR-GMTI System. | Yun Zhang, Niezipeng Kang, Bin Zhao, Hang Ren, Qinglong Hua, Jin Tian |
| 2024 | ISPA | MoonCross: Efficient and Secure Blockchain Sharding Scheme for Satellite-based IoT. | Ruizhong Du, Tianyang Chen, Jin Tian, Yan Gao |
| 2024 | TrustCom | Trusted Networking for Drones: Reputation-Based Security Mechanisms for Node Access and Information Synchronization. | Ruizhong Du, Jiajia Kang, Jin Tian |
| 2024 | UAI | Probabilities of Causation for Continuous and Vector Variables. | Yuta Kawakami, Manabu Kuroki, Jin Tian |
| 2024 | UAI | Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable. | Yuta Kawakami, Manabu Kuroki, Jin Tian |
| 2023 | AAAI | Causal Effect Identification in Cluster DAGs. | Tara V. Anand, Adle H. Ribeiro, Jin Tian, Elias Bareinboim |
| 2023 | ICASSP | Improving Adversarial Robustness with Hypersphere Embedding and Angular-Based Regularizations. | Olukorede Fakorede, Ashutosh Nirala, Modeste Atsague, Jin Tian |
| 2023 | ICDM | Expert Recommendation Method for Fault Maintenance Based On Industrial Manufacturing Knowledge. | Jiacheng Fu, Jin Tian, Jiacheng Xu, Zhijun Fang |
| 2023 | ICIP | A Penalized Modified Huber Regularization to Improve Adversarial Robustness. | Modeste Atsague, Ashutosh Nirala, Olukorede Fakorede, Jin Tian |
| 2023 | ICML | Estimating Joint Treatment Effects by Combining Multiple Experiments. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2023 | ICML | Instrumental Variable Estimation of Average Partial Causal Effects. | Yuta Kawakami, Manabu Kuroki, Jin Tian |
| 2023 | ISCC | CuckChain: A Cuckoo Rule Based Secure, High Incentive and Low Latency Blockchain System via Sharding. | Junfeng Tian, Caishi Jing, Jin Tian |
| 2023 | WCNC | Deep Reinforcement Learning Based Resource Allocation with Heterogeneous QoS for Cellular V2X. | Jin Tian, Yan Shi, Xiaolu Tong, Shanzhi Chen, Rui Zhao |
| 2022 | ICASSP | Group-Wise Feature Selection for Supervised Learning. | Qi Xiao, Hebi Li, Jin Tian, Zhengdao Wang |
| 2022 | ICML | Neuron Dependency Graphs: A Causal Abstraction of Neural Networks. | Yaojie Hu, Jin Tian |
| 2022 | ICML | On Measuring Causal Contributions via do-interventions. | Yonghan Jung, Shiva Prasad Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Blbaum, Elias Bareinboim |
| 2022 | ICML | Partial Counterfactual Identification from Observational and Experimental Data. | Junzhe Zhang, Jin Tian, Elias Bareinboim |
| 2021 | AAAI | Estimating Identifiable Causal Effects through Double Machine Learning. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2021 | ACML | A Mutual Information Regularization for Adversarial Training. | Modeste Atsague, Olukorede Fakorede, Jin Tian |
| 2021 | DAC | BHDL: A Lucid, Expressive, and Embedded Programming Language and System for PCB Designs. | Hebi Li, Youbiao He, Qi Xiao, Jin Tian, Forrest Sheng Bao |
| 2021 | ICANN | An Improved (Adversarial) Reprogramming Technique for Neural Networks. | Eliska Kloberdanz, Jin Tian, Wei Le |
| 2021 | ICML | Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2021 | WWW | Data Poisoning Attacks and Defenses to Crowdsourcing Systems. | Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu |
| 2020 | AAAI | Estimating Causal Effects Using Weighting-Based Estimators. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2019 | AAAI | Identification of Causal Effects in the Presence of Selection Bias. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2019 | ICML | Adjustment Criteria for Generalizing Experimental Findings. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2019 | IGARSS | Local Sparse Representation Based Spatial Preprocessing For Endmember Extraction. | Ge Zhang, Shaohui Mei, Jin Tian, Yan Feng, Qian Du |
| 2019 | IGARSS | Spatial Constrained Hyperspectral Reconstruction from RGB Inputs Using Dictionary Representation. | Yunhao Geng, Shaohui Mei, Jin Tian, Yifan Zhang, Qian Du |
| 2018 | AAAI | Generalized Adjustment Under Confounding and Selection Biases. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2018 | IGARSS | Hyperspectral and Multispectral Image Fusion with Dual-Source Spatial-Spectral Dictionary. | Jin Tian, Yifan Zhang, Yang Lu, Shaohui Mei |
| 2017 | ACML | Recovering Probability Distributions from Missing Data. | Jin Tian |
| 2016 | EDM | Joint Discovery of Skill Prerequisite Graphs and Student Models. | Yetian Chen, Jos P. Gonzlez-Brenes, Jin Tian |
| 2016 | ICNC | Nearest neighbor-based instance selection for classification. | Guanghua Yu, Jin Tian, Minqiang Li |
| 2015 | AAAI | Recovering Causal Effects from Selection Bias. | Elias Bareinboim, Jin Tian |
| 2015 | ACML | Curriculum Learning of Bayesian Network Structures. | Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian |
| 2015 | AISTATS | Exact Bayesian Learning of Ancestor Relations in Bayesian Networks. | Yetian Chen, Lingjian Meng, Jin Tian |
| 2015 | AISTATS | Missing at Random in Graphical Models. | Jin Tian |
| 2014 | AAAI | Recovering from Selection Bias in Causal and Statistical Inference. | Elias Bareinboim, Jin Tian, Judea Pearl |
| 2014 | AAAI | Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging. | Yetian Chen, Jin Tian |
| 2014 | AAAI | Testable Implications of Linear Structural Equation Models. | Bryant Chen, Jin Tian, Judea Pearl |
| 2013 | ISCAS | Modeling and analysis of signal transmission with Through Silicon Via (TSV) noise coupling. | Zhenyang Chen, Qin Wang, Jing Xie, Jin Tian, Jianfei Jiang, Yufei Li, Wen Yin |
| 2010 | UAI | Bayesian Model Averaging Using the k-best Bayesian Network Structures. | Jin Tian, Ru He, Lavanya Ram |
| 2009 | IJCAI | Parameter Identification in a Class of Linear Structural Equation Models. | Jin Tian |
| 2009 | SMC | Non Spectrum Handover Link Maintenance Performance in Cognitive Radio. | Jin Tian, Huaglory Tianfield, Guangguo Bi |
| 2009 | UAI | Computing Posterior Probabilities of Structural Features in Bayesian Networks. | Jin Tian, Ru He |
| 2008 | ICNC | Coevolutionary Feature Selection Strategy for RBFNN Classifier. | Jin Tian, Minqiang Li, Fuzan Chen |
| 2008 | VTC | A QoS MAC Protocol for Cognitive PMP Networks with Rapid Changes of Spectrum Opportunities. | Jie Chen, Minjian Zhao, Jin Tian, Shiju Li |
| 2008 | UAI | Identifying Dynamic Sequential Plans. | Jin Tian |
| 2007 | AAAI | On the Identification of a Class of Linear Models. | Jin Tian |
| 2007 | ISNN | An Evolutionary RBFNN Learning Algorithm for Complex Classzification Problems. | Jin Tian, Minqiang Li, Fuzan Chen |
| 2007 | PAKDD | A Cooperative Coevolution Algorithm of RBFNN for Classification. | Jin Tian, Minqiang Li, Fuzan Chen |
| 2007 | UAI | Polynomial Constraints in Causal Bayesian Networks. | Changsung Kang, Jin Tian |
| 2007 | UAI | A Criterion for Parameter Identification in Structural Equation Models. | Jin Tian |
| 2006 | AAAI | A Characterization of Interventional Distributions in Semi-Markovian Causal Models. | Jin Tian, Changsung Kang, Judea Pearl |
| 2006 | FlAIRS | A Hybrid Generative/Discriminative Bayesian Classifier. | Changsung Kang, Jin Tian |
| 2006 | UAI | Inequality Constraints in Causal Models with Hidden Variables. | Changsung Kang, Jin Tian |
| 2005 | AAAI | Identifying Direct Causal Effects in Linear Models. | Jin Tian |
| 2005 | UAI | Local Markov Property for Models Satisfying Composition Axiom. | Changsung Kang, Jin Tian |
| 2005 | UAI | Generating Markov Equivalent Maximal Ancestral Graphs by Single Edge Replacement. | Jin Tian |
| 2004 | AAAI | Identifying Linear Causal Effects. | Jin Tian |
| 2004 | UAI | Identifying Conditional Causal Effects. | Jin Tian |
| 2002 | AAAI | A General Identification Condition for Causal Effects. | Jin Tian, Judea Pearl |
| 2002 | AAAI | A New Characterization of the Experimental Implications of Causal Bayesian Networks. | Jin Tian, Judea Pearl |
| 2002 | UAI | On the Testable Implications of Causal Models with Hidden Variables. | Jin Tian, Judea Pearl |
| 2001 | UAI | Causal Discovery from Changes. | Jin Tian, Judea Pearl |
| 2000 | UAI | A Branch-and-Bound Algorithm for MDL Learning Bayesian Networks. | Jin Tian |
| 2000 | UAI | Probabilities of Causation: Bounds and Identification. | Jin Tian, Judea Pearl |