Jialin Wu

According to our database, Jialin Wu authored at least 53 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images.

Hui Zhang, Wei Liu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang, Changming Zhu

IEEE Trans. Geosci. Remote. Sens., 2024

Nonagriculturalization Detection Based on Vector Polygons and Contrastive Learning With High-Resolution Remote Sensing Images.

Hui Zhang, Wei Liu, Changming Zhu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

PINN-Based Seismic Wavefield Simulation With Learnable Multiscale Fourier Feature Mapping and Adaptive Activation Function.

Jialin Wu, Bangyu Wu, Xintao Chai, Junxiong Jia

IEEE Geosci. Remote. Sens. Lett., 2024

Benchmark on Drug Target Interaction Modeling from a Structure Perspective.

Xinnan Zhang, Jialin Wu, Junyi Xie, Tianlong Chen, Kaixiong Zhou

CoRR, 2024

Pedestrian Detection Based on Feature Enhancement in Complex Scenes.

Jiao Su, Yi An, Jialin Wu, Kai Zhang

Algorithms, 2024

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities.

Jialin Wu, Kaikai Pan, Yanjiao Chen, Jiangyi Deng, Shengyuan Pang, Wenyuan Xu

Proceedings of the IEEE International Conference on Metaverse Computing, 2024

Adversarial for Good - Defending Training Data Privacy with Adversarial Attack Wisdom.

Shengyuan Pang, Yanjiao Chen, Jiangyi Deng, Jialin Wu, Yijie Bai, Wenyuan Xu

Proceedings of the IEEE International Conference on Metaverse Computing, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

CausalLM is not optimal for in-context learning.

Nan Ding, Tomer Levinboim, Jialin Wu, Sebastian Goodman, Radu Soricut

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-Rank Experts.

Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On Scaling Up a Multilingual Vision and Language Model.

Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Distilling Vision-Language Models on Millions of Videos.

Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Legilimens: Practical and Unified Content Moderation for Large Language Model Services.

Jialin Wu, Jiangyi Deng, Shengyuan Pang, Yanjiao Chen, Jiayang Xu, Xinfeng Li, Wenyuan Xu

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Multi-Object Tracking Based on a Novel Feature Image With Multi-Modal Information.

Yi An, Jialin Wu, Yunhao Cui, Huosheng Hu

IEEE Trans. Veh. Technol., August, 2023

GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning.

Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut

CoRR, 2023

Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling.

Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut

CoRR, 2023

PaLI-3 Vision Language Models: Smaller, Faster, Stronger.

Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut

CoRR, 2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

Proceedings of the Conference on Robot Learning, 2023

2022

Magnetic-Field Dependent Electron Transport of Fe₃Si Nanodots.

Jialin Wu, Katsunori Makihara, Hai Zhang, Noriyuki Taoka, Akio Ohta, Seiichi Miyazaki

IEICE Trans. Electron., October, 2022

Materials Identification of Polarized Pulse Laser Detection Based on Sparse Autoencoder and Softmax Classifier Framework.

Xiaobin Xu, Jialin Wu, Jiali Wang, Qinyang Qu, Zhiying Tan, Minzhou Luo

IEEE Trans. Instrum. Meas., 2022

HOFS: Higher order mutual information approximation for feature selection in R.

Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj

SoftwareX, 2022

Possibilities and Implications of the Multi-AI Competition.

Jialin Wu

CoRR, 2022

Improved compound-protein interaction site and binding affinity prediction using self-supervised protein embeddings.

Jialin Wu, Zhe Liu, Xiaofeng Yang, Zhanglin Lin

BMC Bioinform., 2022

Weighted Sum-Rate Outage Probability Constrained Transmission Design for IRS-Enhanced Communication.

Yongqing Xu, Yong Li, Jialin Wu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Joint Channel Estimation for RIS-Assisted Wireless Communication System.

Jialin Wu, Yong Li, Lijian Xin

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Digital Twin Enabled Dual-System Reinforcement Learning Method.

Haiqin Xie, Sheng Tan, Fengqi Ling, Jialin Wu, Liang He, Xin Zhang

Proceedings of the IEEE Smartworld, 2022

Modular Furniture Design and Manufacturing with Paper in the Home.

Jasmine Bae, Jialin Wu

Proceedings of the TEI '22: Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction, Daejeon, Republic of Korea, February 13, 2022

Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering.

Jialin Wu, Raymond J. Mooney

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-Modal Answer Validation for Knowledge-Based VQA.

Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Model-Driven-to-Sample-Driven Method for Rural Road Extraction.

Jiguang Dai, Rongchen Ma, Litao Gong, Zimo Shen, Jialin Wu

Remote. Sens., 2021

Visual question answering based on local-scene-aware referring expression generation.

Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu, Honggyu Jung, Seong-Whan Lee

Neural Networks, 2021

2020

Improving VQA and its Explanations by Comparing Competing Explanations.

Jialin Wu, Liyan Chen, Raymond J. Mooney

CoRR, 2020

Two-Level Convolutional Neural Network for Aspect Extraction.

Jialin Wu, Yi Cai, Qingbao Huang, Jingyun Xu, Raymond Chi-Wing Wong, Jian Chen

Proceedings of the Database Systems for Advanced Applications. DASFAA 2020 International Workshops, 2020

CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation.

Jungjun Kim, Hanbin Ko, Jialin Wu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder.

Jialin Wu, Raymond J. Mooney

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Self-Critical Reasoning for Robust Visual Question Answering.

Jialin Wu, Raymond J. Mooney

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Faithful Multimodal Explanation for Visual Question Answering.

Jialin Wu, Raymond J. Mooney

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Detecting Basic Level Categories by Term Weighting and Feature Entropy.

Junze Li, Qing Du, Yi Cai, Jialin Wu, Da Ren

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Generating Question Relevant Captions to Aid Visual Question Answering.

Jialin Wu, Zeyuan Hu, Raymond J. Mooney

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Image Score: How to Select Useful Samples.

Simiao Zuo, Jialin Wu

CoRR, 2018

Joint Image Captioning and Question Answering.

Jialin Wu, Zeyuan Hu, Raymond J. Mooney

CoRR, 2018

Dynamic Sampling Convolutional Neural Networks.

Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji

CoRR, 2018

Action Recognition and Localization with Instance FCNN.

Jialin Wu, Yu Yang, He Jiang, Yi Li, Guijin Wang, Xiangyang Ji

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2018

Dynamic Filtering with Large Sampling Field for ConvNets.

Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

Software-defined dynamic bandwidth optimization (SD-DBO) algorithm for optical access and aggregation networks.

Yongli Zhao, Boyuan Yan, Jialin Wu, Jie Zhang

Photonic Netw. Commun., 2016

Experimental demonstration of remote unified control for OpenFlow-based software-defined optical access networks.

Hui Yang, Jie Zhang, Yongli Zhao, Jialin Wu, Yuefeng Ji, Yi Lin, Jianrui Han, Young Lee

Photonic Netw. Commun., 2016

Action Recognition with Joint Attention on Multi-Level Deep Features.

Jialin Wu, Gu Wang, Wukui Yang, Xiangyang Ji

CoRR, 2016

2015

Time-Spectrum Consecutiveness Based Scheduling With Advance Reservation in Elastic Optical Networks.

Haoran Chen, Yongli Zhao, Jie Zhang, Ruiying He, Wei Wang, Jialin Wu, Yike Wang, Yuefeng Ji, Haomian Zheng, Yi Lin, Baogang Hou

IEEE Commun. Lett., 2015

2014

Multi-stratum resources resilience in software defined data center interconnection based on IP over elastic optical networks.

Hui Yang, Yongli Zhao, Jie Zhang, Lei Cheng, Yuefeng Ji, Jialin Wu, Jianrui Han, Yi Lin, Young Lee

Photonic Netw. Commun., 2014

Global Resources Integrated Resilience for Software Defined Data Center Interconnection Based on IP Over Elastic Optical Network.

Hui Yang, Jie Zhang, Yongli Zhao, Yuefeng Ji, Jialin Wu, Xiaosong Yu, Jianrui Han, Young Lee

IEEE Commun. Lett., 2014

Multi-stratum resilience with resources integration for software defined data center interconnection based on IP over elastic optical networks.

Hui Yang, Yongli Zhao, Jie Zhang, Jialin Wu, Jianrui Han, Yi Lin, Young Lee, Yuefeng Ji

Proceedings of the European Conference on Optical Communication, 2014

Poster: SDN based energy management system for optical access network.

Boyuan Yan, Junwen Zhou, Jialin Wu, Yongli Zhao

Proceedings of the 9th International Conference on Communications and Networking in China, 2014