| 2026 | AAAI | DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models. | Hao Tian, Sheng Lu, Fuwen Tian, Guangming Cui, Zheng Li, Xuyun Zhang, Quan Z. Sheng, Wanchun Dou |
| 2025 | CIKM | A Cost-Aware Approach for Collaborating Large Language Models and Small Language Models. | Zheng Li, Xuyun Zhang, Sheng Lu, Hua Deng, Hao Tian, Wanchun Dou |
| 2025 | CVPR | PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models. | Chenyu Yang, Xuan Dong, Xizhou Zhu, Weijie Su, Jiahao Wang, Hao Tian, Zhe Chen, Wenhai Wang, Lewei Lu, Jifeng Dai |
| 2025 | DSN | Semantically Improved Adversarial Attack Based on Masked Language Model via Context Preservation. | Hao Tian, Hao-Tian Wu, Yiu-Ming Cheung, Junhui He, Zhihong Tian |
| 2025 | ICASSP | Dynamic Routing and Calibration for Few-Shot Object Detection. | Jiaqi Wu, Jie Lei, Hao Tian, Xiaoqiang Liu, Zunlei Feng, Ronghua Liang |
| 2025 | ICCV | PUMA: Empowering Unified MLLM with Multi-Granular Visual Generation. | Rongyao Fang, Chengqi Duan, Kun Wang, Hao Li, Linjiang Huang, Hao Tian, Xingyu Zeng, Rui Zhao, Jifeng Dai, Hongsheng Li, Xihui Liu |
| 2025 | ICLR | OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. | Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, et al. |
| 2025 | ICLR | MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. | Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao |
| 2025 | IJCNN | EfficientHuman: Efficient Training and Reconstruction of Moving Human using Articulated 2D Gaussian. | Hao Tian, Rui Liu, Wen Shen, Yilong Hu, Zhihao Zheng, Xiaolin Qin |
| 2025 | ICWS | A Dynamic Inference Method for Autoregressive Transformer Models. | Hao Tian, Sheng Lu, Hua Deng, Zheng Li, Wanchun Dou |
| 2025 | PAKDD | Representing Higher-Order Networks with Spectral Moments. | Hao Tian, Shengmin Jin, Reza Zafarani |
| 2025 | SMC | Online Sparse Streaming Feature Selection with Feature Correlation. | Hao Tian, Di Wu, Jia Chen, Min Zhou, Xin Luo |
| 2024 | AAAI | COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. | Hao Tian, Sourav Medya, Wei Ye |
| 2024 | ACL | JumpCoder: Go Beyond Autoregressive Coder via Online Modification. | Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun |
| 2024 | ADMA | An Inference Acceleration Approach for Boosting DNN Cold Start in Cloud-Edge Computing. | Hao Tian, Haolong Xiang, Tingtong Zhu, Siyuan Wu, Cheng Chen, Zheng Li, Mingxu Jiang, Wanchun Dou |
| 2024 | ADMA | A Heterogeneous Federated Learning Method Based on Dual Teachers Knowledge Distillation. | Siyuan Wu, Hao Tian, Weiran Zhang, Tingtong Zhu, Fuwen Tian, Zhehong Wang, Wanchun Dou |
| 2024 | CGI | SewPCT: Sewing Pattern Reconstruction from Point Cloud with Transformer. | Hao Tian, Yu Cao, P. Y. Mok |
| 2024 | ICASSP | GBSD: Generative Bokeh with Stage Diffusion. | Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar |
| 2024 | ICLR | Tool-Augmented Reward Modeling. | Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu |
| 2024 | ICONIP | MFCA: Multimodal Object Detection Based on Feature Calibration and Aggregation. | Hao Tian, Jie Lei, Guoyu Yang, Jiaqi Wu, Yilong Zhang, Zunlei Feng, Ronghua Liang |
| 2024 | IJCAI | Deep Hierarchical Graph Alignment Kernels. | Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye |
| 2024 | INDIN | A Short-Term Industrial Load Forecasting Model Based on VMD-FFEN-ITR. | Yufan Wang, Tao Xu, Feng Gao, Hao Tian, Yusen Zhang |
| 2024 | ICWS | SFSM: A Serverless Function Scheduling Method for FaaS Applications over Edge Computing. | Hao Tian, Cheng Chen, Fei Dai, Wanchun Dou |
| 2024 | ISPA | A Contrastive Collaborative Filtering Method for Personalized Recommendation with Self-Attention. | Cheng Chen, Hao Tian, Hang Zhang, Wanchun Dou |
| 2024 | ISPA | A Crowdsensing Service Pricing Method in Vehicular Edge Computing. | Zheng Li, Sizhe Tang, Hao Tian, Haolong Xiang, Xiaolong Xu, Wanchun Dou |
| 2024 | ISPA | A Blockchain-Assisted Federated Learning Method for Recommendation Systems. | Hang Zhang, Hao Tian, Cheng Chen, Chen Tian, Wanchun Dou |
| 2023 | ACL | ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages. | Yekun Chai, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu |
| 2023 | CVPR | ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts. | Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang |
| 2023 | CVPR | DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition. | Hao Tian, Yu Cao, P. Y. Mok |
| 2023 | CVPR | BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. | Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai |
| 2023 | ICIP | Smooth and Stepwise Self-Distillation for Object Detection. | Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar |
| 2023 | ICPADS | A Blockchain-enabled Secure Access Management Method in Edge Computing. | Xutong Jiang, Guoming Zhang, Hao Tian, Haolong Xiang, Xuyun Zhang, Wanchun Dou |
| 2023 | WACV | Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation. | Zhihong Pan, Xin Zhou, Hao Tian |
| 2022 | APCC | Mitigating the Effect of Impulsive Noise in Power Line Communications with Preprocessing. | Hongwu Ge, Shengwu Sun, Xin Dai, Hao Tian |
| 2022 | EMNLP | Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards. | Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2022 | EMNLP | ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding. | Qiming Peng, Yinxu Pan, Wenjin Wang, Bin Luo, Zhenyu Zhang, Zhengjie Huang, Yuhui Cao, Weichong Yin, Yongfeng Chen, Yin Zhang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2022 | ICDM | Exploiting Cross-Order Patterns and Link Prediction in Higher-Order Networks. | Hao Tian, Shengmin Jin, Reza Zafarani |
| 2022 | KDD | A Spectral Representation of Networks: The Path of Subgraphs. | Shengmin Jin, Hao Tian, Jiayu Li, Reza Zafarani |
| 2022 | SERVICES | DisCOV: Distributed COVID-19 Detection on X-Ray Images with Edge-Cloud Collaboration. | Xiaolong Xu, Hao Tian, Xuyun Zhang, Lianyong Qi, Qiang He, Wanchun Dou |
| 2021 | AAAI | ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs. | Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2021 | ACL | ERNIE-Doc: A Retrospective Long-Document Modeling Transformer. | Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2021 | CVPR | Unsupervised Object Detection With LIDAR Clues. | Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu |
| 2021 | EMNLP | ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora. | Xuan Ouyang, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2021 | ICRA | Proactive Interaction Framework for Intelligent Social Receptionist Robots. | Yang Xue, Fan Wang, Hao Tian, Min Zhao, Jiangyong Li, Haiqing Pan, Yueqiang Dong |
| 2021 | NAACL | ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding. | Dongling Xiao, Yu-Kun Li, Han Zhang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2020 | AAAI | ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding. | Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Hao Tian, Hua Wu, Haifeng Wang |
| 2020 | ACL | SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis. | Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu |
| 2020 | CIKM | Exploiting Common Neighbor Graph for Link Prediction. | Hao Tian, Reza Zafarani |
| 2020 | IJCAI | ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation. | Dongling Xiao, Han Zhang, Yu-Kun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2020 | PAKDD | SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. | Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani |
| 2019 | ICRA | Transferring Grasp Configurations using Active Learning and Local Replanning. | Hao Tian, Changbo Wang, Dinesh Manocha, Xinyu Zhang |
| 2018 | CoRL | Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation. | Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan |
| 2018 | VR | A Realtime Virtual Grasping System for Manipulating Complex Objects. | Hao Tian, Chanabo Wana, Xinvu Zhana |
| 2016 | EMNLP | Multi-view Response Selection for Human-Computer Conversation. | Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan |
| 2014 | ADMA | Selecting Representative Objects from Large Database by Using K-Skyband and Top-k Dominating Queries in MapReduce Environment. | Mohammad Anisuzzaman Siddique, Hao Tian, Yasuhiko Morimoto |
| 2014 | DASFAA | Distributed Skyline Computation of Vertically Splitted Databases by Using MapReduce. | Mohammad Anisuzzaman Siddique, Hao Tian, Yasuhiko Morimoto |
| 2014 | EMNLP | Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System. | Zhuoran Wang, Hongliang Chen, Guanchun Wang, Hao Tian, Hua Wu, Haifeng Wang |
| 2014 | VLDB | An Efficient Processing of k-Dominant Skyline Query in MapReduce. | Hao Tian, Mohammad Anisuzzaman Siddique, Yasuhiko Morimoto |
| 2013 | ACL | Cross-lingual Projections between Languages from Different Families. | Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu |
| 2013 | NAACL | Compound Embedding Features for Semi-supervised Learning. | Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu |
| 2010 | ADMA | Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data. | Wenhao Huang, Zhengbin Dong, Nan Zhao, Hao Tian, Guojie Song, Guanhua Chen, Yun Jiang, Kunqing Xie |
| 2010 | APWEB | laUD-MS: An Extensible System for Unstructured Data Management. | Yuqing Zhu, Naiqiao Du, Hao Tian, Jianmin Wang |