Information Theoretic Interpretation of Deep learning. - Tianchen Zhao (CoRR, 2018)

Adversarial Defense via Learning to Generate Diverse Attacks. - Yunseok Jang 001; Tianchen Zhao; Seunghoon Hong; Honglak Lee (ICCV, 2019)

Diversity-Sensitive Conditional Generative Adversarial Networks. - Dingdong Yang; Seunghoon Hong; Yunseok Jang 001; Tianchen Zhao; Honglak Lee (ICLR (Poster), 2019)

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. - Xuefei Ning; Tianchen Zhao; Wenshuo Li; Peng Lei; Yu Wang 002; Huazhong Yang (ECCV (3), 2020)

A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. - Xuefei Ning; Yin Zheng; Tianchen Zhao; Yu Wang 002; Huazhong Yang (ECCV (13), 2020)

Natural evolution strategies and quantum approximate optimization. - Tianchen Zhao; Giuseppe Carleo; James Stokes; Shravan K. Veerapaneni (CoRR, 2020)

Towards Lower Bit Multiplication for Convolutional Neural Network Training. - Kai Zhong; Tianchen Zhao; Xuefei Ning; Shulin Zeng; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (CoRR, 2020)

A Surgery of the Neural Architecture Evaluators. - Xuefei Ning; Wenshuo Li; Zixuan Zhou; Tianchen Zhao; Yin Zheng; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

Meta Variational Monte Carlo. - Tianchen Zhao; James Stokes; Oliver Knitter; Brian Chen; Shravan K. Veerapaneni (CoRR, 2020)

BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. - Tianchen Zhao; Xuefei Ning; Songyi Yang; Shuang Liang 010; Peng Lei; Jianfei Chen; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

Learning to Recognize Patch-Wise Consistency for Deepfake Detection. - Tianchen Zhao; Xiang Xu; Mingze Xu; Hui Ding; Yuanjun Xiong; Wei Xia (CoRR, 2020)

aw_nas: A Modularized and Extensible NAS framework. - Xuefei Ning; Changcheng Tang; Wenshuo Li; Songyi Yang; Tianchen Zhao; Niansong Zhang; Tianyi Lu; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. - Xuefei Ning; Junbo Zhao 001; Wenshuo Li; Tianchen Zhao; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

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

Overcoming barriers to scalability in variational quantum Monte Carlo. - Tianchen Zhao; Saibal De; Brian Chen; James Stokes; Shravan K. Veerapaneni (SC, 2021)

Natural evolution strategies and variational Monte Carlo. - Tianchen Zhao; Giuseppe Carleo; James Stokes; Shravan K. Veerapaneni (Mach. Learn. Sci. Technol., 2021)

CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. - Tianchen Zhao; Niansong Zhang; Xuefei Ning; He Wang 010; Li Yi 001; Yu Wang 002 (CVPR, 2022)

TA-GATES: An Encoding Scheme for Neural Network Architectures. - Xuefei Ning; Zixuan Zhou; Junbo Zhao 001; Tianchen Zhao; Yiping Deng; Changcheng Tang; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (NeurIPS, 2022)

Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing. - Tianchen Zhao; Chuhao Sun; Asaf Cohen 003; James Stokes; Shravan K. Veerapaneni (CoRR, 2022)

Scalable neural quantum states architecture for quantum chemistry. - Tianchen Zhao; James Stokes; Shravan K. Veerapaneni (CoRR, 2022)

Unsupervised Multi-Look SAR Image Change Detection Driven by Dual-Layer Graph With Intensity and Texture Attributes. - Jun Wang 145; Tianchen Zhao; Xiaoliang Jiang (IEEE Geosci. Remote. Sens. Lett., 2022)

A Hierarchical Heterogeneous Graph for Unsupervised SAR Image Change Detection. - Jun Wang 145; Tianchen Zhao; Xiaoliang Jiang; Kun Lan (IEEE Geosci. Remote. Sens. Lett., 2022)

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. - Kai Zhong; Xuefei Ning; Guohao Dai; Zhenhua Zhu; Tianchen Zhao; Shulin Zeng; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Memory-Oriented Structural Pruning for Efficient Image Restoration. - Xiangsheng Shi; Xuefei Ning; Lidong Guo; Tianchen Zhao; Enshu Liu; Yi Cai 003; Yuhan Dong; Huazhong Yang; Yu Wang 002 (AAAI, 2023)

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". - Junbo Zhao 001; Xuefei Ning; Enshu Liu; Binxin Ru; Zixuan Zhou; Tianchen Zhao; Chen Chen 007; Jiajin Zhang; Qingmin Liao; Yu Wang 002 (AAAI, 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 001; Lipu Zhou; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICCV, 2023)

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". - Junbo Zhao 001; Xuefei Ning; Enshu Liu; Binxin Ru; Zixuan Zhou; Tianchen Zhao; Chen Chen 077; Jiajin Zhang; Qingmin Liao; Yu Wang 002 (CoRR, 2023)

Meta-variational quantum Monte Carlo. - Tianchen Zhao; James Stokes; Shravan K. Veerapaneni (Quantum Mach. Intell., 2023)

A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. - Xuefei Ning; Yin Zheng; Zixuan Zhou; Tianchen Zhao; Huazhong Yang; Yu Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Crack detection of continuous casting slab by evolutionary topology backbone search. - Tianchen Zhao; Xianpeng Wang 002; Xiangman Song; Chang Liu 039 (Appl. Soft Comput., 2023)

Reinforcement Learning for Path Planning in Communication-Limited Environments. - Tianchen Zhao; Michel Kadoch; Rongqun Peng (BMSB, 2024)

FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. - Lin Zhao; Tianchen Zhao; Zinan Lin 001; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (CVPR, 2024)

DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. - Tongxin Xie; Tianchen Zhao; Zhenhua Zhu; Xuefei Ning; Bing Li; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 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 001; Shengen Yan; Guohao Dai; Yu Wang 002 (ECCV (14), 2024)

Rad-NeRF: Ray-decoupled Training of Neural Radiance Field. - Lidong Guo; Xuefei Ning; Yonggan Fu; Tianchen Zhao; Zhuoliang Kang; Jincheng Yu; Yingyan (Celine) Lin; Yu Wang 002 (NeurIPS, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Hanling Zhang; Lu Pu; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (NeurIPS, 2024)

TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. - Shiyao Li; Xuefei Ning; Shanghang Zhang; Lidong Guo; Tianchen Zhao; Huazhong Yang; Yu Wang 002 (WACV, 2024)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Enshu Liu; Rui Wan; Widyadewi Soedarmadji; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

Principles of Designing Robust Remote Face Anti-Spoofing Systems. - Xiang Xu; Tianchen Zhao; Zheng Zhang; Zhihua Li; Jon Wu; Alessandro Achille; Mani Srivastava 002 (CoRR, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Pu Lu; Hanling Zhang; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 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 002 (CoRR, 2024)

Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing. - Zhuowei Li 002; Tianchen Zhao; Xiang Xu; Zheng Zhang; Zhihua Li; Xuanbai Chen; Qin Zhang; Alessandro Bergamo; Anil K. Jain 001; Yifan Xing (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)

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 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; et al. (ICLR, 2025)

TransADMM: Transformer enhanced unrolling alternating direction method of multipliers framework for electrical impedance tomography. - Zichen Wang 001; Tao Zhang; Tianchen Zhao; Wenxu Wu; Xinyu Zhang; Qi Wang 040 (Expert Syst. Appl., 2025)

Multiobjective backbone network architecture search based on transfer learning in steel defect detection. - Tianchen Zhao; Xianpeng Wang 002; Xiangman Song (Neurocomputing, 2025)

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs. - Tengxuan Liu; Shiyao Li; Jiayi Yang; Tianchen Zhao; Feng Zhou; Xiaohui Song; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang 002 (CoRR, 2025)

AuthGuard: Generalizable Deepfake Detection via Language Guidance. - Guangyu Shen; Zhihua Li; Xiang Xu; Tianchen Zhao; Zheng Zhang 001; Dongsheng An; Zhuowen Tu; Yifan Xing; Qin Zhang (CoRR, 2025)

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models. - Tianchen Zhao; Ke Hong; Xinhao Yang; Xuefeng Xiao 001; Huixia Li; Feng Ling; Ruiqi Xie; Siqi Chen; Hongyu Zhu; Yichong Zhang; Yu Wang (CoRR, 2025)