Tian, Feng

26 publications

NeurIPS 2025 Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation Wenbin An, Jiahao Nie, Feng Tian, Haonan Lin, Mingxiang Cai, Yaqiang Wu, QianYing Wang, Xiaoqin Zhang, Shijian Lu

TMLR 2025 Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong

ICCV 2025 GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting Xiaobao Wei, Peng Chen, Guangyu Li, Ming Lu, Hui Chen, Feng Tian

AAAI 2025 GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians Xiaobao Wei, Peng Chen, Ming Lu, Hui Chen, Feng Tian

AAAI 2025 LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng

CVPR 2025 Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Ping Chen, Xiaoqin Zhang, Shijian Lu

ICLR 2025 PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing Feng Tian, Yixuan Li, Yichao Yan, Shanyan Guan, Yanhao Ge, Xiaokang Yang

AAAI 2025 Unleashing the Potential of Model Bias for Generalized Category Discovery Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen

AAAI 2024 A Unified Knowledge Transfer Network for Generalized Category Discovery Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen

NeurIPS 2024 Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang

AAAI 2024 G2L-CariGAN: Caricature Generation from Global Structure to Local Features Xin Huang, Yunfeng Bai, Dong Liang, Feng Tian, Jinyuan Jia

NeurIPS 2024 LLM-ESR: Large Language Models Enhancement for Long-Tailed Sequential Recommendation Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao

NeurIPS 2024 Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang

ECCV 2024 Timestep-Aware Correction for Quantized Diffusion Models Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang

AAAI 2024 Transfer and Alignment Network for Generalized Category Discovery Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen

AAAI 2023 Generalized Category Discovery with Decoupled Prototypical Network Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, QianYing Wang, Ping Chen

ICML 2023 Tight and Fast Generalization Error Bound of Graph Embedding in Metric Space Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi

CoRL 2021 Visual Learning Towards Soft Robot Force Control Using a 3D Metamaterial with Differential Stiffness Fang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, Chaoyang Song

IJCAI 2019 Attributed Subspace Clustering Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi

ACML 2019 Hyperbolic Ordinal Embedding Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi

AAAI 2019 Orderly Subspace Clustering Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi

IJCAI 2018 Outer Product-Based Neural Collaborative Filtering Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua

IJCAI 2018 Ranking Preserving Nonnegative Matrix Factorization Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi

IJCAI 2017 Multi-Component Nonnegative Matrix Factorization Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang

JMLR 2015 Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-Masses Palle Jorgensen, Feng Tian

IJCAI 2015 Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning Ning Xie, Tingting Zhao, Feng Tian, Xiaohua Zhang, Masashi Sugiyama