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ORCIDTianchen Zhao
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2020 – today
- 2024
[c15]Tianchen Zhao, Michel Kadoch, Rongqun Peng:
Reinforcement Learning for Path Planning in Communication-Limited Environments. BMSB 2024: 1-5- [c14]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. CVPR 2024: 16122-16131 - [c13]Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang:
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE 2024: 1-6 - [c12]Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang:
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV 2024: 2020-2029 - [i23]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR abs/2403.16379 (2024) - [i22]Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang:
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR abs/2405.17873 (2024) - [i21]Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR abs/2406.02540 (2024) - [i20]Xiang Xu, Tianchen Zhao, Zheng Zhang, Zhihua Li, Jon Wu, Alessandro Achille, Mani Srivastava:
Principles of Designing Robust Remote Face Anti-Spoofing Systems. CoRR abs/2406.03684 (2024) - [i19]Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR abs/2406.08552 (2024) - 2023
- [j7]Tianchen Zhao, Xianpeng Wang
, Xiangman Song, Chang Liu:
Crack detection of continuous casting slab by evolutionary topology backbone search. Appl. Soft Comput. 146: 110663 (2023) - [j6]Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang:
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 7955-7969 (2023) - [j5]Tianchen Zhao, James Stokes, Shravan K. Veerapaneni:
Meta-variational quantum Monte Carlo. Quantum Mach. Intell. 5(1): 1-9 (2023) - [c11]Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang:
Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI 2023: 2245-2253 - [c10]Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI 2023: 11316-11326 - [c9]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV 2023: 17682-17692 - [i18]Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR abs/2302.00932 (2023) - [i17]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - 2022
- [j4]Jun Wang, Tianchen Zhao, Xiaoliang Jiang:
Unsupervised Multi-Look SAR Image Change Detection Driven by Dual-Layer Graph With Intensity and Texture Attributes. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j3]Jun Wang, Tianchen Zhao, Xiaoliang Jiang, Kun Lan:
A Hierarchical Heterogeneous Graph for Unsupervised SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j2]Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang:
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5421-5434 (2022) - [c8]Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang:
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CVPR 2022: 1425-1434 - [c7]Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang:
TA-GATES: An Encoding Scheme for Neural Network Architectures. NeurIPS 2022 - [i16]Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang:
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CoRR abs/2203.09887 (2022) - [i15]Tianchen Zhao, Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni:
Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing. CoRR abs/2207.10838 (2022) - [i14]Tianchen Zhao, James Stokes, Shravan K. Veerapaneni:
Scalable neural quantum states architecture for quantum chemistry. CoRR abs/2208.05637 (2022) - 2021
- [j1]Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni:
Natural evolution strategies and variational Monte Carlo. Mach. Learn. Sci. Technol. 2(2): 02 (2021) - [c6]Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia:
Learning Self-Consistency for Deepfake Detection. ICCV 2021: 15003-15013 - [c5]Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni:
Overcoming barriers to scalability in variational quantum Monte Carlo. SC 2021: 62 - [i13]Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni:
Overcoming barriers to scalability in variational quantum Monte Carlo. CoRR abs/2106.13308 (2021) - 2020
- [c4]Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang:
A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. ECCV (13) 2020: 189-204 - [c3]Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang:
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. ECCV (3) 2020: 592-607 - [i12]Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang:
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. CoRR abs/2004.01899 (2020) - [i11]Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang:
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. CoRR abs/2004.02164 (2020) - [i10]Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni:
Natural evolution strategies and quantum approximate optimization. CoRR abs/2005.04447 (2020) - [i9]Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Towards Lower Bit Multiplication for Convolutional Neural Network Training. CoRR abs/2006.02804 (2020) - [i8]Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang:
A Surgery of the Neural Architecture Evaluators. CoRR abs/2008.03064 (2020) - [i7]Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan K. Veerapaneni:
Meta Variational Monte Carlo. CoRR abs/2011.10614 (2020) - [i6]Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang:
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. CoRR abs/2011.10804 (2020) - [i5]Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia:
Learning to Recognize Patch-Wise Consistency for Deepfake Detection. CoRR abs/2012.09311 (2020) - [i4]Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang:
aw_nas: A Modularized and Extensible NAS framework. CoRR abs/2012.10388 (2020) - [i3]Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang:
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. CoRR abs/2012.11835 (2020)
2010 – 2019
- 2019
- [c2]Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee:
Adversarial Defense via Learning to Generate Diverse Attacks. ICCV 2019: 2740-2749 - [c1]Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee:
Diversity-Sensitive Conditional Generative Adversarial Networks. ICLR (Poster) 2019 - [i2]Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee:
Diversity-Sensitive Conditional Generative Adversarial Networks. CoRR abs/1901.09024 (2019) - 2018
- [i1]Tianchen Zhao:
Information Theoretic Interpretation of Deep learning. CoRR abs/1803.07980 (2018)
Coauthor Index
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last updated on 2024-10-30 20:35 CET by the dblp team
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