Jiaru Zhang - RankMe

25 papers A* 6A 2Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Design of a Lightweight Dual-Band Antenna for UAV Applications. Wirel. Pers. Commun. Lingsheng Yang, Yu Lu, Jiaru Zhang, Jun Dong
2026	J	`jnl`	Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion. CoRR Jiaru Zhang, Manav Gagvani, Can Cui, Juntong Peng, Ruqi Zhang, Ziran Wang
2026	—	`conf`	Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. KDD (1) Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan
2026	J	`jnl`	FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning. CoRR Peishen Yan, Yang Hua, Hao Wang, Jiaru Zhang, Xiaoyu Wu, Tao Song, Haibing Guan
2026	J	`jnl`	PILD: Physics-Informed Learning via Diffusion. CoRR Tianyi Zeng, Tianyi Wang, Jiaru Zhang, Zimo Zeng, Feiyang Zhang, Yiming Xu, Sikai Chen, Yajie Zou, Yangyang Wang, Junfeng Jiao, Christian Claudel, Xinbo Chen
2025	J	`jnl`	A Diffusion-Refined Planner with Reinforcement Learning Priors for Confined-Space Parking. CoRR Mingyang Jiang, Yueyuan Li, Jiaru Zhang, Songan Zhang, Min Yang
2025	J	`jnl`	Inference Acceleration of Autoregressive Normalizing Flows by Selective Jacobi Decoding. CoRR Jiaru Zhang, Juanwu Lu, Ziran Wang, Ruqi Zhang
2025	A	`conf`	Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. AISTATS Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
2025	J	`jnl`	Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. CoRR Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
2025	A*	`conf`	Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models. ICML Xiaoyu Wu, Jiaru Zhang, Steven Wu
2025	J	`jnl`	One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow. CoRR Pascal Jutras-Dube, Jiaru Zhang, Ziran Wang, Ruqi Zhang
2025	J	`jnl`	THOR: A Generic Energy Estimation Approach for On-Device Training. CoRR Jiaru Zhang, Zesong Wang, Hao Wang, Tao Song, Huai-an Su, Rui Chen, Yang Hua, Xiangwei Zhou, Ruhui Ma, Miao Pan, Haibing Guan
2025	J	`jnl`	ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving. CoRR Can Cui, Yupeng Zhou, Juntong Peng, Sung-Yeon Park, Zichong Yang, Prashanth Sankaranarayanan, Jiaru Zhang, Ruqi Zhang, Ziran Wang
2024	A*	`conf`	CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CVPR Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
2024	J	`jnl`	CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CoRR Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
2024	J	`jnl`	Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. CoRR Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan
2024	J	`jnl`	Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data. CoRR Xiaoyu Wu, Jiaru Zhang, Steven Wu
2024	J	`jnl`	Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024	A*	`conf`	Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2023	A*	`conf`	Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. ICML Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	J	`jnl`	Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. CoRR Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	A	`conf`	Information Bound and Its Applications in Bayesian Neural Networks. ECAI Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
2022	A*	`conf`	Improving Bayesian Neural Networks by Adversarial Sampling. AAAI Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
2021	J	`jnl`	Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. Trans. Data Sci. Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan
2021	A*	`conf`	Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. CVPR Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan