| 2026 | AAAI | Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space. | Jian Zhu, Zhengyu Jia, Tian Gao, Jiaxin Deng, Shidi Li, Lang Zhang, Fu Liu, Peng Jia, Xianpeng Lang |
| 2025 | AAAI | BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving. | Tao Tang, Dafeng Wei, Zhengyu Jia, Tian Gao, Changwei Cai, Chengkai Hou, Peng Jia, Kun Zhan, Haiyang Sun, Jingchen Fan, Yixing Zhao, Xiaodan Liang, Xianpeng Lang, Yang Wang |
| 2025 | AISTATS | Integer Programming Based Methods and Heuristics for Causal Graph Learning. | Sanjeeb Dash, Joao P. Goncalves, Tian Gao |
| 2025 | AISTATS | Q-function Decomposition with Intervention Semantics for Factored Action Spaces. | Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu |
| 2025 | CVPR | BHViT: Binarized Hybrid Vision Transformer. | Tian Gao, Yu Zhang, Zhiyuan Zhang, Huajun Liu, Kaijie Yin, Chengzhong Xu, Hui Kong |
| 2025 | ICASSP | Scaling Bioacoustic Signal Pre-training with Million Samples Via Mask-Modeling. | Xuyao Deng, Tianjiao Wan, Kele Xu, Tian Gao, Peng Qiao, Dawei Feng, Yong Dou |
| 2025 | ICASSP | Incorporating Spatial Cues in Modular Speaker Diarization for Multi-channel Multi-party Meetings. | Ruoyu Wang, Shutong Niu, Gaobin Yang, Jun Du, Shuangqing Qian, Tian Gao, Jia Pan |
| 2025 | ICASSP | Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention. | Yuzhe Weng, Haotian Wang, Tian Gao, Kewei Li, Shutong Niu, Jun Du |
| 2025 | ICCV | Information-Bottleneck Driven Binary Neural Network for Change Detection. | Kaijie Yin, Zhiyuan Zhang, Shu Kong, Tian Gao, Cheng-Zhong Xu, Hui Kong |
| 2025 | ICLR | Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. | Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang |
| 2025 | IROS | Pathfinder for Low-altitude Aircraft with Binary Neural Network. | Kaijie Yin, Tian Gao, Hui Kong |
| 2025 | PACLIC | From Tea to Symbol: A Multimodal Discourse Analysis of HeyTea's Branding Discourses. | Tian Gao |
| 2024 | AAAI | CHRONOS: A Schema-Based Event Understanding and Prediction System. | Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker, Sadhana Kumaravel, Oktie Hassanzadeh, Elton F. S. Soares, Tian Gao, Debarun Bhattacharjya, Radu Florian, Salim Roukos |
| 2024 | AAAI | Effective Causal Discovery under Identifiable Heteroscedastic Noise Model. | Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji |
| 2024 | AISTATS | Theory-guided Message Passing Neural Network for Probabilistic Inference. | Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji |
| 2024 | ECCV | Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization. | Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji |
| 2024 | HIC | NoteBlock: Prototype Design of Music Learning Experience for Blind and Low Vision Children in Preschool Ages. | Yike Liu, Zhen Liu, Tian Gao, Yuxuan Chen, Mengling Cai, Hongyi Zhang |
| 2024 | ICASSP | Implicit Enhancement of Target Speaker in Speaker-Adaptive ASR through Efficient Joint Optimization. | Minghui Wu, Haitao Tang, Jiahuan Fan, Ruoyu Wang, Hang Chen, Yanyong Zhang, Jun Du, Hengshun Zhou, Lei Sun, Xin Fang, Tian Gao, Genshun Wan, Jia Pan, Jianqing Gao |
| 2024 | ICPR | Efficient Nonlinear DAG Learning Under Projection Framework. | Naiyu Yin, Yue Yu, Tian Gao, Qiang Ji |
| 2024 | Interspeech | MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition. | Ziping Zhao, Tian Gao, Haishuai Wang, Bjrn W. Schuller |
| 2023 | AAAI | Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation. | Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou |
| 2023 | AAAI | Concurrent Multi-Label Prediction in Event Streams. | Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett |
| 2023 | CVPR | Biomechanics-Guided Facial Action Unit Detection Through Force Modeling. | Zijun Cui, Chenyi Kuang, Tian Gao, Kartik Talamadupula, Qiang Ji |
| 2023 | CVPR | An Actor-centric Causality Graph for Asynchronous Temporal Inference in Group Activity. | Zhao Xie, Tian Gao, Kewei Wu, Jiao Chang |
| 2023 | ICASSP | Meta-Dag: Meta Causal Discovery Via Bilevel Optimization. | Songtao Lu, Tian Gao |
| 2023 | ICASSP | Quantum Transfer Learning Using the Large-Scale Unsupervised Pre-Trained Model Wavlm-Large for Synthetic Speech Detection. | Ruoyu Wang, Jun Du, Tian Gao |
| 2023 | ICASSP | A Multi-Scale Feature Aggregation Based Lightweight Network for Audio-Visual Speech Enhancement. | Haitao Xu, Liangfa Wei, Jie Zhang, Jianming Yang, Yannan Wang, Tian Gao, Xin Fang, Li-Rong Dai |
| 2023 | ICML | Probabilistic Attention-to-Influence Neural Models for Event Sequences. | Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett |
| 2023 | IJCAI | Approximate Inference in Logical Credal Networks. | Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel |
| 2023 | Interspeech | SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition. | Ziping Zhao, Tian Gao, Haishuai Wang, Bjrn W. Schuller |
| 2022 | CIDR | Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. | Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins, Doug Downey, Tian Gao, Kexin Huang, Dinghao Shen, Jenny M. Vo-Phamhi, Yitong Wang, Yuning Wang, Anna Zeng |
| 2022 | CoRL | Learning and Retrieval from Prior Data for Skill-based Imitation Learning. | Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu |
| 2022 | CSCWD | Research on Collaborative Governance of Data Security in the Whole Life Cycle of Electric Power Manufacturing Data Space. | Yujing Liu, Tian Gao, Dongxiao Niu, Huanfen Zhang |
| 2022 | ICML | IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data. | Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu |
| 2022 | ICML | Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. | Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu |
| 2022 | Interspeech | Acoustic Feature Shuffling Network for Text-independent Speaker Verification. | Jin Li, Xin Fang, Fan Chu, Tian Gao, Yan Song, Rong Li Dai |
| 2022 | UAI | Variational message passing neural network for Maximum-A-Posteriori (MAP) inference. | Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji |
| 2022 | UAI | Linearizing contextual bandits with latent state dynamics. | Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart |
| 2021 | AAAI | Ordinal Historical Dependence in Graphical Event Models with Tree Representations. | Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian |
| 2021 | AAAI | Type-augmented Relation Prediction in Knowledge Graphs. | Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji |
| 2021 | EMNLP | Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. | Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown |
| 2021 | ICML | Integer Programming for Causal Structure Learning in the Presence of Latent Variables. | Rui Chen, Sanjeeb Dash, Tian Gao |
| 2021 | ICML | DAGs with No Curl: An Efficient DAG Structure Learning Approach. | Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji |
| 2020 | AAAI | Event-Driven Continuous Time Bayesian Networks. | Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian |
| 2020 | AAAI | A Multi-Channel Neural Graphical Event Model with Negative Evidence. | Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei |
| 2020 | AISTATS | Characterization of Overlap in Observational Studies. | Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney |
| 2020 | EMNLP | MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. | Lu Zhang, Mo Yu, Tian Gao, Yue Yu |
| 2020 | ICASSP | Progressive Multi-Target Network Based Speech Enhancement with Snr-Preselection for Robust Speaker Diarization. | Lei Sun, Jun Du, Xueyang Zhang, Tian Gao, Xin Fang, Chin-Hui Lee |
| 2020 | IJCAI | Cause-Effect Association between Event Pairs in Event Datasets. | Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian |
| 2020 | IJCAI | Order-Dependent Event Models for Agent Interactions. | Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian |
| 2020 | IJCAI | State Variable Effects in Graphical Event Models. | Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao |
| 2020 | SERVICES | A New Automatic Chinese Poetry Generation Model Based On Neural Network. | Tian Gao, Pengcheng Xiong, Jialie Shen |
| 2019 | AAAI | A Sequential Set Generation Method for Predicting Set-Valued Outputs. | Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock |
| 2019 | ACL | Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. | Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao |
| 2019 | ICASSP | A Two-stage Single-channel Speaker-dependent Speech Separation Approach for Chime-5 Challenge. | Lei Sun, Jun Du, Tian Gao, Yi Fang, Feng Ma, Jia Pan, Chin-Hui Lee |
| 2019 | ICML | Generalized Linear Rule Models. | Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Gnlk |
| 2019 | ICML | DAG-GNN: DAG Structure Learning with Graph Neural Networks. | Yue Yu, Jie Chen, Tian Gao, Mo Yu |
| 2019 | MICCAI | Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network. | Xiuyan Ni, Tian Gao, Tingting Wu, Jin Fan, Chao Chen |
| 2018 | COLING | Identifying the Discourse Function of News Article Paragraphs. | W. Victor H. Yarlott, Cristina Cornelio, Tian Gao, Mark A. Finlayson |
| 2018 | ICASSP | Densely Connected Progressive Learning for LSTM-Based Speech Enhancement. | Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee |
| 2018 | ICASSP | A Novel LSTM-Based Speech Preprocessor for Speaker Diarization in Realistic Mismatch Conditions. | Lei Sun, Jun Du, Tian Gao, Yu-Ding Lu, Yu Tsao, Chin-Hui Lee, Neville Ryant |
| 2018 | ICML | Parallel Bayesian Network Structure Learning. | Tian Gao, Dennis Wei |
| 2017 | ICML | Local-to-Global Bayesian Network Structure Learning. | Tian Gao, Kshitij P. Fadnis, Murray Campbell |
| 2017 | IJCNN | An investigation of high-resolution modeling units of deep neural networks for acoustic scene classification. | Xiao Bao, Tian Gao, Jun Du, Li-Rong Dai |
| 2016 | HPCC | A Time Localization System in Smart Home Using Hierarchical Structure and Dynamic Frequency. | Qichuan Yang, Zhiqiang He, Kai Zhao, Tian Gao |
| 2016 | ICPR | Hybrid Markov Blanket discovery. | Tian Gao, Qiang Ji |
| 2016 | ICPR | An information theoretic feature selection framework based on integer programming. | Siqi Nie, Tian Gao, Qiang Ji |
| 2016 | IJCAI | Constrained Local Latent Variable Discovery. | Tian Gao, Qiang Ji |
| 2016 | Interspeech | SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement. | Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee |
| 2015 | ICASSP | Joint training of front-end and back-end deep neural networks for robust speech recognition. | Tian Gao, Jun Du, Li-Rong Dai, Chin-Hui Lee |
| 2015 | ICCV | Structured Feature Selection. | Tian Gao, Ziheng Wang, Qiang Ji |
| 2014 | ICPR | Learning with Hidden Information Using a Max-Margin Latent Variable Model. | Ziheng Wang, Tian Gao, Qiang Ji |
| 2014 | Interspeech | Robust speech recognition with speech enhanced deep neural networks. | Jun Du, Qing Wang, Tian Gao, Yong Xu, Li-Rong Dai, Chin-Hui Lee |