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Tian Gao

59 papers · 2015–2026 · 17 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (17) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer πŸƒ Academic Marathon (10) 🀝 Dynamic Duo (21) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (5) ⚑ Prolific Year (9) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (259) πŸ“ˆ Trend Setter πŸ’Ž Century Club (58) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer

Conferences

AAAI (11) ICML (9) NIPS (7) IJCAI (5) INTERSPEECH (4) EMNLP (4) AISTATS (4) CVPR (3) ICCV (2) CLEAR (2) UAI (2) ECCV (1) CORL (1) ICLR (1) COLING (1) ACL (1) PGM (1)

Top co-authors

Debarun Bhattacharjya (21) Dharmashankar Subramanian (15) Qiang Ji (10) Yue Yu (8) Xiao Shou (6) Mo Yu (5) Dennis Wei (4) Karthikeyan Shanmugam (4) Nicholas Mattei (4) Zijun Cui (4)

Keywords

causal inference (8) structure learning (7) bayesian network (7) attention mechanism (5) graphical event model (5) temporal point process (5) continuous optimization (5) causal discovery (5) graphical model (5) neural network (4) variational inference (4) transformer architecture (3) belief propagation (3) directed acyclic graph (3) multivariate point process (3) temporal modeling (2) integer programming (2) multi-label classification (2) point process (2) multimodal learning (2)

Papers

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