Tianchen Zhao - RankMe

68 papers A* 15A 3Journal 45Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoupling Vision and Language: Codebook Anchored Visual Adaptation. CoRR Jason Wu, Tianchen Zhao, Chang Liu, Jiarui Cai, Zheng Zhang, Zhuowei Li, Aaditya Singh, Xiang Xu, Mani Srivastava, Jonathan Wu
2026	J	`jnl`	SALAD: Achieve High-Sparsity Attention via Efficient Linear Attention Tuning for Video Diffusion Transformer. CoRR Tongcheng Fang, Hanling Zhang, Ruiqi Xie, Zhuo Han, Xin Tao, Tianchen Zhao, Pengfei Wan, Wenbo Ding, Wanli Ouyang, Xuefei Ning, Yu Wang
2026	J	`jnl`	StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation. CoRR Yiran Shi, Dongqi Guo, Tianchen Zhao, Feng Gao, Liangzhi Shi, Chao Yu, ZhiJian Mo, Qihua Xiao, XiaoShuai Peng, Qingmin Liao, Yu Wang
2025	J	`jnl`	AuthGuard: Generalizable Deepfake Detection via Language Guidance. CoRR Guangyu Shen, Zhihua Li, Xiang Xu, Tianchen Zhao, Zheng Zhang, Dongsheng An, Zhuowen Tu, Yifan Xing, Qin Zhang
2025	J	`jnl`	LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation. CoRR Lianwei Yang, Haokun Lin, Tianchen Zhao, Yichen Wu, Hongyu Zhu, Ruiqi Xie, Zhenan Sun, Yu Wang, Qingyi Gu
2025	J	`jnl`	MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling. CoRR MiroMind Team, Song Bai, Lidong Bing, Carson Chen, Guanzheng Chen, Yuntao Chen, Zhe Chen, Ziyi Chen, Jifeng Dai, Xuan Dong, Wenhan Dou, Yue Deng, Yunjie Fu, Junqi Ge, Chenxia Han, Tammy Huang, Zhenhang Huang, Jerry Jiao, Shilei Jiang, Tianyu Jiao, Xiaoqi Jian, Lei Lei, Ruilin Li, Ryan Luo, Tiantong Li, Xiang Lin, Ziyuan Liu, Zhiqi Li, Jie Ni, Qiang Ren, Pax Sun, Shiqian Su, Chenxin Tao, Bin Wang, Hellen Wang, Haonan Wang, James Wang, Jin Wang, Jojo Wang, Letian Wang, Shizun Wang, Weizhi Wang, Zixuan Wang, Jinfan Xu, Sen Xing, Chenyu Yang, Hai Ye, Jiaheng Yu, Yue Yu, Muyan Zhong, Tianchen Zhao, Xizhou Zhu, Yanpeng Zhou, Yifan Zhang, Zhi Zhu
2025	A*	`conf`	Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing. CVPR Xuanbai Chen, Xiang Xu, Zhihua Li, Tianchen Zhao, Pietro Perona, Qin Zhang, Yifan Xing
2025	J	`jnl`	Multiobjective backbone network architecture search based on transfer learning in steel defect detection. Neurocomputing Tianchen Zhao, Xianpeng Wang, Xiangman Song
2025	A*	`conf`	Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing. CVPR Zhuowei Li, Tianchen Zhao, Xiang Xu, Zheng Zhang, Zhihua Li, Xuanbai Chen, Qin Zhang, Alessandro Bergamo, Anil K. Jain, Yifan Xing
2025	J	`jnl`	Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing. CoRR Zhuowei Li, Tianchen Zhao, Xiang Xu, Zheng Zhang, Zhihua Li, Xuanbai Chen, Qin Zhang, Alessandro Bergamo, Anil K. Jain, Yifan Xing
2025	A*	`conf`	PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models. DAC Xinhao Yang, Tianchen Zhao, Hongyi Wang, Wenheng Ma, Shulin Zeng, Zhenhua Zhu, Xuefei Ning, Huazhong Yang, Yu Wang
2025	J	`jnl`	PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models. CoRR Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, Siqi Chen, Hongyu Zhu, Yichong Zhang, Yu Wang
2025	J	`jnl`	PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs. CoRR Tengxuan Liu, Shiyao Li, Jiayi Yang, Tianchen Zhao, Feng Zhou, Xiaohui Song, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025	A*	`conf`	REACT3D: Real-time Edge Accelerator for Incremental Training in 3D Gaussian Splatting based SLAM Systems. MICRO Hongyi Wang, Zhenhua Zhu, Tianchen Zhao, Yunfei Xiang, Zehao Wang, Jincheng Yu, Huazhong Yang, Yuan Xie, Yu Wang
2025	J	`jnl`	Salient Concept-Aware Generative Data Augmentation. CoRR Tianchen Zhao, Xuanbai Chen, Zhihua Li, Jun Fang, Dongsheng An, Xiang Xu, Zhuowen Tu, Yifan Xing
2025	J	`jnl`	TransADMM: Transformer enhanced unrolling alternating direction method of multipliers framework for electrical impedance tomography. Expert Syst. Appl. Zichen Wang, Tao Zhang, Tianchen Zhao, Wenxu Wu, Xinyu Zhang, Qi Wang
2025	A*	`conf`	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. ICLR 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
2025	J	`jnl`	db-SP: Accelerating Sparse Attention for Visual Generative Models with Dual-Balanced Sequence Parallelism. CoRR Siqi Chen, Ke Hong, Tianchen Zhao, Ruiqi Xie, Zhenhua Zhu, Xudong Zhang, Yu Wang
2024	A*	`conf`	DiTFastAttn: Attention Compression for Diffusion Transformer Models. NeurIPS Zhihang Yuan, Hanling Zhang, Lu Pu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
2024	A	`conf`	DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
2024	A*	`conf`	FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. CVPR Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization. CoRR Rui Xie, Tianchen Zhao, Zhihang Yuan, Rui Wan, Wenxi Gao, Zhenhua Zhu, Xuefei Ning, Yu Wang
2024	—	`conf`	MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. ECCV (14) Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	Principles of Designing Robust Remote Face Anti-Spoofing Systems. CoRR Xiang Xu, Tianchen Zhao, Zheng Zhang, Zhihua Li, Jon Wu, Alessandro Achille, Mani Srivastava
2024	A*	`conf`	Rad-NeRF: Ray-decoupled Training of Neural Radiance Field. NeurIPS Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan (Celine) Lin, Yu Wang
2024	—	`conf`	Reinforcement Learning for Path Planning in Communication-Limited Environments. BMSB Tianchen Zhao, Michel Kadoch, Rongqun Peng
2024	A	`conf`	TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang
2024	J	`jnl`	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2023	J	`jnl`	A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang
2023	A*	`conf`	Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023	J	`jnl`	Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023	J	`jnl`	Crack detection of continuous casting slab by evolutionary topology backbone search. Appl. Soft Comput. Tianchen Zhao, Xianpeng Wang, Xiangman Song, Chang Liu
2023	A*	`conf`	Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023	J	`jnl`	Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023	A*	`conf`	Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang
2023	J	`jnl`	Meta-variational quantum Monte Carlo. Quantum Mach. Intell. Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
2023	J	`jnl`	Scalable neural quantum states architecture for quantum chemistry. Mach. Learn. Sci. Technol. Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
2022	J	`jnl`	A Hierarchical Heterogeneous Graph for Unsupervised SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. Jun Wang, Tianchen Zhao, Xiaoliang Jiang, Kun Lan
2022	A*	`conf`	CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CVPR Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
2022	J	`jnl`	CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CoRR Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
2022	J	`jnl`	Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang
2022	J	`jnl`	Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing. CoRR Tianchen Zhao, Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni
2022	J	`jnl`	Scalable neural quantum states architecture for quantum chemistry. CoRR Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
2022	A*	`conf`	TA-GATES: An Encoding Scheme for Neural Network Architectures. NeurIPS Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang
2022	J	`jnl`	Unsupervised Multi-Look SAR Image Change Detection Driven by Dual-Layer Graph With Intensity and Texture Attributes. IEEE Geosci. Remote. Sens. Lett. Jun Wang, Tianchen Zhao, Xiaoliang Jiang
2021	A*	`conf`	Learning Self-Consistency for Deepfake Detection. ICCV Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia
2021	J	`jnl`	Natural evolution strategies and variational Monte Carlo. Mach. Learn. Sci. Technol. Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni
2021	A	`conf`	Overcoming barriers to scalability in variational quantum Monte Carlo. SC Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni
2021	J	`jnl`	Overcoming barriers to scalability in variational quantum Monte Carlo. CoRR Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni
2020	—	`conf`	A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. ECCV (13) Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
2020	J	`jnl`	A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. CoRR Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
2020	J	`jnl`	A Surgery of the Neural Architecture Evaluators. CoRR Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang
2020	J	`jnl`	BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. CoRR Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang
2020	—	`conf`	DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. ECCV (3) Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
2020	J	`jnl`	DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. CoRR Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
2020	J	`jnl`	Learning to Recognize Patch-Wise Consistency for Deepfake Detection. CoRR Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia
2020	J	`jnl`	Meta Variational Monte Carlo. CoRR Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan K. Veerapaneni
2020	J	`jnl`	Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. CoRR Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang
2020	J	`jnl`	Natural evolution strategies and quantum approximate optimization. CoRR Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni
2020	J	`jnl`	Towards Lower Bit Multiplication for Convolutional Neural Network Training. CoRR Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020	J	`jnl`	aw_nas: A Modularized and Extensible NAS framework. CoRR Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang
2019	A*	`conf`	Adversarial Defense via Learning to Generate Diverse Attacks. ICCV Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee
2019	—	`conf`	Diversity-Sensitive Conditional Generative Adversarial Networks. ICLR (Poster) Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
2019	J	`jnl`	Diversity-Sensitive Conditional Generative Adversarial Networks. CoRR Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
2018	J	`jnl`	Information Theoretic Interpretation of Deep learning. CoRR Tianchen Zhao