Tian Gao

Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space AAAI 2026 Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge ICLR 2025 Information-Bottleneck Driven Binary Neural Network for Change Detection ICCV 2025 BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving AAAI 2025 BHViT: Binarized Hybrid Vision Transformer CVPR 2025 Integer Programming Based Methods and Heuristics for Causal Graph Learning AISTATS 2025 MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition INTERSPEECH 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization ECCV 2024 Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024 CHRONOS: A Schema-Based Event Understanding and Prediction System AAAI 2024 Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NIPS 2024 Concurrent Multi-Label Prediction in Event Streams AAAI 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023 SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition INTERSPEECH 2023 Pairwise Causality Guided Transformers for Event Sequences NIPS 2023 Approximate Inference in Logical Credal Networks IJCAI 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023 Biomechanics-Guided Facial Action Unit Detection Through Force Modeling CVPR 2023 Influence-Aware Attention for Multivariate Temporal Point Processes CLEAR 2023 An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity CVPR 2023 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022 Logical Credal Networks NIPS 2022 Learning and Retrieval from Prior Data for Skill-based Imitation Learning CORL 2022 Process Independence Testing in Proximal Graphical Event Models CLEAR 2022 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022 Acoustic Feature Shuffling Network for Text-independent Speaker Verification INTERSPEECH 2022 Variational message passing neural network for Maximum-A-Posteriori (MAP) inference UAI 2022 Linearizing contextual bandits with latent state dynamics UAI 2022 Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 Integer Programming for Causal Structure Learning in the Presence of Latent Variables ICML 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021 Type-augmented Relation Prediction in Knowledge Graphs AAAI 2021 Causal Inference for Event Pairs in Multivariate Point Processes NIPS 2021 DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks NIPS 2020 MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning EMNLP 2020 Hawkesian Graphical Event Models PGM 2020 Characterization of Overlap in Observational Studies AISTATS 2020 State Variable Effects in Graphical Event Models IJCAI 2020 Cause-Effect Association between Event Pairs in Event Datasets IJCAI 2020 Order-Dependent Event Models for Agent Interactions IJCAI 2020 A Multi-Channel Neural Graphical Event Model with Negative Evidence AAAI 2020 Event-Driven Continuous Time Bayesian Networks AAAI 2020 Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019 Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering EMNLP 2019 Generalized Linear Rule Models ICML 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 A Sequential Set Generation Method for Predicting Set-Valued Outputs AAAI 2019 Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation ACL 2019 Identifying the Discourse Function of News Article Paragraphs COLING 2018 Proximal Graphical Event Models NIPS 2018 Parallel Bayesian Network Structure Learning ICML 2018 Local-to-Global Bayesian Network Structure Learning ICML 2017 SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement INTERSPEECH 2016 Constrained Local Latent Variable Discovery IJCAI 2016 Structured Feature Selection ICCV 2015 Local Causal Discovery of Direct Causes and Effects NIPS 2015