| 2026 | PAKDD | DENI: A Density-Enhanced Hybrid Sampling Framework with Neighborhood Information for Noisy Imbalanced Classification. | Tian Tan, Yuhong Xu, Peijie Huang |
| 2026 | SIGCOMM | Rules Offload Engine (ROE): Accelerating Host SDN Policy Evaluation. | Anshuman Verma, Tian Tan, Ahmed Abdelsalam, Milan Dasgupta, Jonathan Hunter, Zach Libby, Narayanan Ravichandran, Harish Srinivasan, Matt Reat, Nadeen Gebara, Vishal Gondaliya, Ezz Hamed, Rahul Garlapati, Lok Chand Koppaka, Abdullah Mughrabi, Dev Desai, Alexander Malysh, Shwetha Bhat, Rohan Kandi, Megan Sng, Tushar Garg, Muluken Tadesse Hailesellasie, Andrew Putnam, Derek Chiou, Osman Ertugay, Alireza Dabagh, Vivek Bhanu, Daniel Firestone |
| 2025 | ICSE | PacDroid: A Pointer-Analysis-Centric Framework for Security Vulnerabilities in Android Apps. | Menglong Chen, Tian Tan, Minxue Pan, Yue Li |
| 2025 | ICSE | Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs. | Chenxi Zhang, Yufei Liang, Tian Tan, Chang Xu, Shuangxiang Kan, Yulei Sui, Yue Li |
| 2024 | ECCV | AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale. | Keenon Werling, Janelle Kaneda, Tian Tan, Rishi Agarwal, Six Skov, Tom Van Wouwe, Scott D. Uhlrich, Nicholas A. Bianco, Carmichael F. Ong, Antoine Falisse, Shardul Sapkota, Aidan Chandra, Joshua Carter, Ezio Preatoni, Benjamin J. Fregly, Jennifer L. Hicks, Scott L. Delp, C. Karen Liu |
| 2024 | ICASSP | Bridging The Domain Gap Arising from Text Description Differences for Stable Text-To-Image Generation. | Tian Tan, Weimin Tan, Xuhao Jiang, Yueming Jiang, Bo Yan |
| 2024 | ICASSP | Extending Large Language Models for Speech and Audio Captioning. | Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang |
| 2024 | ICASSP | Connecting Speech Encoder and Large Language Model for ASR. | Wenyi Yu, Changli Tang, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang |
| 2024 | ICLR | SALMONN: Towards Generic Hearing Abilities for Large Language Models. | Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang |
| 2024 | ICML | video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models. | Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Yuxuan Wang, Chao Zhang |
| 2024 | Interspeech | Text-aware Speech Separation for Multi-talker Keyword Spotting. | Haoyu Li, Baochen Yang, Yu Xi, Linfeng Yu, Tian Tan, Hao Li, Kai Yu |
| 2024 | Interspeech | Can Large Language Models Understand Spatial Audio? | Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Jun Zhang, Lu Lu, Zejun Ma, Yuxuan Wang, Chao Zhang |
| 2024 | Interspeech | Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer. | Peng Wang, Yifan Yang, Zheng Liang, Tian Tan, Shiliang Zhang, Xie Chen |
| 2023 | AAAI | Multi-Modality Deep Network for Extreme Learned Image Compression. | Xuhao Jiang, Weimin Tan, Tian Tan, Bo Yan, Liquan Shen |
| 2023 | AAAI | Efficient and Effective Uncertainty Quantification in Gradient Boosting via Cyclical Gradient MCMC. | Tian Tan, Carlos Huertas, Qi Zhao |
| 2023 | ICASSP | Joint Discriminator and Transfer Based Fast Domain Adaptation For End-To-End Speech Recognition. | Hang Shao, Tian Tan, Wei Wang, Xun Gong, Yanmin Qian |
| 2023 | ISSTA | Tai-e: A Developer-Friendly Static Analysis Framework for Java by Harnessing the Good Designs of Classics. | Tian Tan, Yue Li |
| 2022 | ICASSP | Text Adaptive Detection for Customizable Keyword Spotting. | Yu Xi, Tian Tan, Wangyou Zhang, Baochen Yang, Kai Yu |
| 2022 | ICASSP | Punctuation Prediction for Streaming On-Device Speech Recognition. | Zhikai Zhou, Tian Tan, Yanmin Qian |
| 2022 | INDIN | Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - A Case Study. | Maxim Friesen, Tian Tan, Jrgen Jasperneite, Jie Wang |
| 2022 | ISNCC | Enlightenment for China's LEO Internet Satellite Industry from Typical Development Model of European Commercial Satellite. | Penghua Zhong, Tian Tan, Yao Yu |
| 2021 | FPL | DO-GPU: Domain Optimizable Soft GPUs. | Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, Rajesh Vivekanandham, Aravind Dasu, Martin Langhammer, Derek Chiou |
| 2021 | ICASSP | AISpeech-SJTU ASR System for the Accented English Speech Recognition Challenge. | Tian Tan, Yizhou Lu, Rao Ma, Sen Zhu, Jiaqi Guo, Yanmin Qian |
| 2020 | AAAI | Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning. | Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla |
| 2020 | IROS | Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning. | Haichuan Gao, Zhile Yang, Xin Su, Tian Tan, Feng Chen |
| 2019 | FPL | Specializing FGPU for Persistent Deep Learning. | Rui Ma, Derek Chiou, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu |
| 2018 | ICASSP | Knowledge Transfer in Permutation Invariant Training for Single-Channel Multi-Talker Speech Recognition. | Tian Tan, Yanmin Qian, Dong Yu |
| 2018 | ICASSP | Fast Adaptation on Deepmixture Generative Network Based Acoustic Modeling. | Wen Ding, Tian Tan, Yanmin Qian |
| 2018 | ICASSP | Generative Adversarial Networks Based Data Augmentation for Noise Robust Speech Recognition. | Hu Hu, Tian Tan, Yanmin Qian |
| 2018 | ICASSP | Noise Robust Speech Recognition on Aurora4 by Humans and Machines. | Yanmin Qian, Tian Tan, Hu Hu, Qi Liu |
| 2017 | ISSRE | Reflection Analysis for Java: Uncovering More Reflective Targets Precisely. | Jie Liu, Yue Li, Tian Tan, Jingling Xue |
| 2017 | PLDI | Efficient and precise points-to analysis: modeling the heap by merging equivalent automata. | Tian Tan, Yue Li, Jingling Xue |
| 2016 | ECOOP | Program Tailoring: Slicing by Sequential Criteria. | Yue Li, Tian Tan, Yifei Zhang, Jingling Xue |
| 2016 | ICASSP | Joint acoustic factor learning for robust deep neural network based automatic speech recognition. | Souvik Kundu, Gautam Mantena, Yanmin Qian, Tian Tan, Marc Delcroix, Khe Chai Sim |
| 2016 | ICASSP | An investigation into using parallel data for far-field speech recognition. | Yanmin Qian, Tian Tan, Dong Yu |
| 2016 | ICASSP | Integrated adaptation with multi-factor joint-learning for far-field speech recognition. | Yanmin Qian, Tian Tan, Dong Yu, Yu Zhang |
| 2016 | ICASSP | Speaker-aware training of LSTM-RNNS for acoustic modelling. | Tian Tan, Yanmin Qian, Dong Yu, Souvik Kundu, Liang Lu, Khe Chai Sim, Xiong Xiao, Yu Zhang |
| 2016 | SAS | Making k-Object-Sensitive Pointer Analysis More Precise with Still k-Limiting. | Tian Tan, Yue Li, Jingling Xue |
| 2015 | ICASSP | Cluster adaptive training for deep neural network. | Tian Tan, Yanmin Qian, Maofan Yin, Yimeng Zhuang, Kai Yu |
| 2015 | Interspeech | Recurrent neural network language model adaptation for multi-genre broadcast speech recognition. | Xie Chen, Tian Tan, Xunying Liu, Pierre Lanchantin, M. Wan, Mark J. F. Gales, Philip C. Woodland |
| 2015 | UIC | High Spatial Resolution Remote Sensing Data Computing Pattern Based on Feature Primitives. | Dongping Ming, Wen Zhou, Tian Tan, Zhanfeng Shen, Jiancheng Luo |
| 2015 | SAS | Effective Soundness-Guided Reflection Analysis. | Yue Li, Tian Tan, Jingling Xue |
| 2014 | ECOOP | Self-inferencing Reflection Resolution for Java. | Yue Li, Tian Tan, Yulei Sui, Jingling Xue |
| 2014 | ICASSP | Reshaping deep neural network for fast decoding by node-pruning. | Tianxing He, Yuchen Fan, Yanmin Qian, Tian Tan, Kai Yu |
| 2013 | COMPSAC | An If-While-If Model-Based Performance Evaluation of Ranking Metrics for Spectra-Based Fault Localization. | Chunyan Ma, Tian Tan, Yibo Chen, Yunwei Dong |
| 2013 | SIGMOD | Resa: realtime elastic streaming analytics in the cloud. | Tian Tan, Richard T. B. Ma, Marianne Winslett, Yin Yang, Yong Yu, Zhenjie Zhang |
| 2012 | ISSRE | What Is System Hang and How to Handle It. | Yian Zhu, Yue Li, Jingling Xue, Tian Tan, Jialong Shi, Yang Shen, Chunyan Ma |