Zhenlin Xu - RankMe

42 papers A* 6A 1C 1Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Storage to Steering: Memory Control Flow Attacks on LLM Agents. CoRR Zhenlin Xu, Xiaogang Zhu, Yu Yao, Minhui Xue, Yiliao Song
2026	J	`jnl`	MaTVT: A Transformer-Based Approach for Multi-Agent Prediction in Complex Traffic Scenarios. IEEE Trans. Veh. Technol. Anran Li, Hongsheng Yu, Yuyan Annie Pan, Zhenlin Xu, Huibo Bi, Bolin Gao, Keqiang Li, Yanyan Chen
2026	J	`jnl`	The Appeal and Reality of Recycling LoRAs with Adaptive Merging. CoRR Haokun Liu, Gyung Hyun Je, Marco Ciccone, Zhenlin Xu, Prasanth YSS, Colin Raffel
2025	J	`jnl`	DT Assisted Task Offloading for C-V2X Networks With Imperfect DT Prediction Conditions. IEEE Trans. Intell. Transp. Syst. Bo Fan, Zhenlin Xu, Zhidu Li, Yuan Wu, Yan Zhang
2025	J	`jnl`	Does Another Pedestrian Matter? A Virtual Reality Study on the Interaction Between Multiple Pedestrians and Autonomous Vehicles in Shared Space. IEEE Trans. Intell. Transp. Syst. Yan Feng, Zhenlin Xu, Haneen Farah, Bart van Arem
2025	A	`conf`	GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-Grained Video-Language Learning. WACV Yicheng Wang, Zhikang Zhang, Jue Wang, David Fan, Zhenlin Xu, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li
2025	J	`jnl`	RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines. CoRR Pengfei Yu, Dongming Shen, Silin Meng, Jaewon Lee, Weisu Yin, Andrea Yaoyun Cui, Zhenlin Xu, Yi Zhu, Xingjian Shi, Mu Li, Alex Smola
2025	J	`jnl`	Spherical Leech Quantization for Visual Tokenization and Generation. CoRR Yue Zhao, Hanwen Jiang, Zhenlin Xu, Chutong Yang, Ehsan Adeli, Philipp Krähenbühl
2025	J	`jnl`	The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text. CoRR Nikhil Kandpal, Brian Lester, Colin Raffel, Sebastian Majstorovic, Stella Biderman, Baber Abbasi, Luca Soldaini, Enrico Shippole, A. Feder Cooper, Aviya Skowron, John Kirchenbauer, Shayne Longpre, Lintang Sutawika, Alon Albalak, Zhenlin Xu, Guilherme Penedo, Loubna Ben Allal, Elie Bakouch, John David Pressman, Honglu Fan, Dashiell Stander, Guangyu Song, Aaron Gokaslan, Tom Goldstein, Brian R. Bartoldson, Bhavya Kailkhura, Tyler Murray
2024	—	`conf`	Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. CVPR Workshops Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo
2024	J	`jnl`	Characterizing Behavioral Differences and Adaptations of Automated Vehicles and Human Drivers at Unsignalized Intersections: Insights from Waymo and Lyft Open Datasets. CoRR Saeed Rahmani, Zhenlin Xu, Simeon C. Calvert, Bart van Arem
2024	J	`jnl`	GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning. CoRR Yicheng Wang, Zhikang Zhang, Jue Wang, David Fan, Zhenlin Xu, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li
2024	A*	`conf`	Self-Supervised Multi-Object Tracking with Path Consistency. CVPR Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo
2024	J	`jnl`	Self-Supervised Multi-Object Tracking with Path Consistency. CoRR Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo
2023	J	`jnl`	Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. CoRR Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo
2023	A*	`conf`	ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
2023	J	`jnl`	ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
2023	A*	`conf`	SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. ICCV Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer
2022	A*	`conf`	Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. NeurIPS Zhenlin Xu, Marc Niethammer, Colin Raffel
2022	J	`jnl`	Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. CoRR Zhenlin Xu, Marc Niethammer, Colin Raffel
2022	J	`jnl`	DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Anal. Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu
2022	J	`jnl`	Improving Dense Contrastive Learning with Dense Negative Pairs. CoRR Berk Iskender, Zhenlin Xu, Simon Kornblith, Enhung Chu, Maryam Khademi
2022	J	`jnl`	SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. CoRR Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer
2022	—	`—`	Towards Deep Visual Learning in the Wild: Data-efficiency, Robustness and Generalization. Zhenlin Xu
2022	—	`conf`	iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images. MICCAI (5) Qin Liu, Zhenlin Xu, Yining Jiao, Marc Niethammer
2021	A*	`conf`	Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer
2020	—	`conf`	A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. MLMI@MICCAI Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
2020	J	`jnl`	A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. CoRR Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
2020	—	`conf`	Adversarial Data Augmentation via Deformation Statistics. ECCV (29) Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer
2020	—	`conf`	Anatomical Data Augmentation via Fluid-Based Image Registration. MICCAI (3) Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer
2020	J	`jnl`	Anatomical Data Augmentation via Fluid-based Image Registration. CoRR Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer
2020	J	`jnl`	Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer
2019	J	`jnl`	DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation. CoRR Zhenlin Xu, Marc Niethammer
2019	—	`conf`	DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation. MICCAI (2) Zhenlin Xu, Marc Niethammer
2019	A*	`conf`	Networks for Joint Affine and Non-Parametric Image Registration. CVPR Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer
2019	J	`jnl`	Networks for Joint Affine and Non-parametric Image Registration. CoRR Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer
2018	—	`conf`	Contextual Additive Networks to Efficiently Boost 3D Image Segmentations. DLMIA/ML-CDS@MICCAI Zhenlin Xu, Zhengyang Shen, Marc Niethammer
2018	—	`conf`	How to Understand the Basic Graphic Analysis Method. ICCSIP (1) Zhenlin Xu, Fangqu Xu, Wen Xu, Xiaohui Zou
2018	C	`conf`	The Cognitive Features of Programming Language and Natural Language. ICIS Wen Xu, Fangqu Xu, Xiaohui Zou, Zhenlin Xu
2018	J	`jnl`	Towards Fully Mobile 3D Face, Body, and Environment Capture Using Only Head-worn Cameras. IEEE Trans. Vis. Comput. Graph. Young-Woon Cha, True Price, Zhen Wei, Xinran Lu, Nicholas Rewkowski, Rohan Chabra, Zihe Qin, Hyounghun Kim, Zhaoqi Su, Yebin Liu, Adrian Ilie, Andrei State, Zhenlin Xu, Jan-Michael Frahm, Henry Fuchs
2002	—	`conf`	A Neural Network Online Training Algorithm Based on Compound Gradient Vector. Australian Joint Conference on Artificial Intelligence Zaiping Chen, Jun Li, Youjun Yue, Qiang Gao, Hui Zhao, Zhenlin Xu
2002	—	`conf`	The Flux-Oriented Control of an Induction Machine Utilizing an Online Controller Parameter Adaptation Scheme. Australian Joint Conference on Artificial Intelligence Zaiping Chen, Qiang Gao, Chao Dong, Hongjin Liu, Peng Zhang, Zhenlin Xu