Zhao, Tianchen

20 publications

CVPR 2025 Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing Xuanbai Chen, Xiang Xu, Zhihua Li, Tianchen Zhao, Pietro Perona, Qin Zhang, Yifan Xing

CVPR 2025 Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing Zhuowei Li, Tianchen Zhao, Xiang Xu, Zheng Zhang, Zhihua Li, Xuanbai Chen, Qin Zhang, Alessandro Bergamo, Anil K. Jain, Yifan Xing

NeurIPS 2025 PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, SiQi Chen, Hongyu Zhu, Zhang Yichong, Yu Wang

NeurIPS 2025 Salient Concept-Aware Generative Data Augmentation Tianchen Zhao, Xuanbai Chen, Zhihua Li, Jun Fang, Dongsheng An, Xiang Xu, Zhuowen Tu, Yifan Xing

ICLR 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

NeurIPS 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang

CVPR 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

NeurIPSW 2024 LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization Rui Xie, Tianchen Zhao, Zhihang Yuan, Rui Wan, Wenxi Gao, Zhenhua Zhu, Xuefei Ning, Yu Wang

ECCV 2024 MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

NeurIPS 2024 Rad-NeRF: Ray-Decoupled Training of Neural Radiance Field Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan Lin, Yu Wang

WACV 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang

ICCV 2023 Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang

AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

AAAI 2023 Memory-Oriented Structural Pruning for Efficient Image Restoration Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang

CVPR 2022 CodedVTR: Codebook-Based Sparse Voxel Transformer with Geometric Guidance Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang

NeurIPS 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang

ICCV 2021 Learning Self-Consistency for Deepfake Detection Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia

ECCV 2020 A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang

ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang

ICLR 2019 Diversity-Sensitive Conditional Generative Adversarial Networks Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee