Meng Tian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
14
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning. | Yue Li, Meng Tian, Dechang Zhu, Jiangtong Zhu, Zhenyu Lin, Zhiwei Xiong, Xinhai Zhao |
| 2026 | INFOCOM | EdgeSpec: Distributed Speculative Decoding for Large Language Models at Edge. | Yulin Chen, Meng Tian, Chao Qiu, Xiaofei Wang, Haipeng Yao, Yuan He, Yunhao Liu |
| 2025 | ICCV | Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving. | Yue Li, Meng Tian, Zhenyu Lin, Jiangtong Zhu, Dechang Zhu, Haiqiang Liu, Yueyi Zhang, Zhiwei Xiong, Xinhai Zhao |
| 2025 | IWQoS | Exploring Cooperative Caching for AI-Generated Content Inference in Edge Networks. | Meng Tian, Xingyi Cai, Yunfeng Zhao, Chao Qiu, Xiaofei Wang |
| 2025 | WACV | Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases. | Kai Chen, Yanze Li, Wenhua Zhang, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia |
| 2024 | GLOBECOM | Enabling Collaborative and Green Generative AI Inference in Edge Networks. | Meng Tian, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Dusit Niyato, Victor C. M. Leung |
| 2024 | ICASSP | Exploring Spatio-Temporal Discriminative Cues for Group Activity Recognition Via Contrastive Learning. | Meng Tian, Ye Xiang, Lifang Wu |
| 2024 | QRS | A Novel Approach for Software Defect Prediction Through Relational Association Rules Based on Cost-Sensitive Learning. | Meng Tian, Shihai Wang, Wentao Wu, Wandong Xie |
| 2023 | DASFAA | Semantic-Driven Instance Generation for Table Question Answering. | Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He |
| 2022 | MMSP | Part Based Interaction Learning for Group Activity Recognition. | Meng Tian, Xianglong Lang, Ye Xiang, Yan Huang, Lifang Wu, Yunxiang Li |
| 2021 | WACV | DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. | Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnr, Marcel Worring |
| 2020 | ECCV | Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation. | Meng Tian, Marcelo H. Ang, Gim Hee Lee |
| 2020 | ICRA | Robust 6D Object Pose Estimation by Learning RGB-D Features. | Meng Tian, Liang Pan, Marcelo H. Ang, Gim Hee Lee |
| 2020 | IECON | Computation of Worst-case Operation Scenarios against False Data Injection Attacks Considering Load Demand and Generation Uncertainties. | Meng Tian, Zhengcheng Dong, Le Zhao, Hongtai Yao, Zini Jian, Xianpei Wang |
| 2018 | ACCV | Synthesizing New Retinal Symptom Images by Multiple Generative Models. | Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnr |
| 2018 | ACCV | Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. | Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnr |