Yijiang Li

According to our database, Yijiang Li authored at least 90 papers between 2012 and 2026.

Collaborative distances:

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

2026

SPACENUM: Revisiting Spatial Numerical Understanding in VLMs.

Jianshu Zhang, Yijiang Li, Huifeixin Chen, Haoran Lu, Letian Xue, Bingyang Wang, Han Liu

CoRR, May, 2026

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids.

Massimiliano Lupo Pasini, Yijiang Li, Kibaek Kim, Teja Kuruganti

CoRR, May, 2026

Attention Sinks and Outliers in Attention Residuals.

Haozheng Luo, Haoran Dai, Shaoyang Zhang, Xi Chen, Eric Hanchen Jiang, Yijiang Li, Jingyuan Huang, Chenghao Qiu, Chenwei Xu, Zhenyu Pan, Haotian Zhang, Binghui Wang, Yan Chen

CoRR, May, 2026

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL.

Zhenyang Ni, Yijiang Li, Ruochen Jiao, Simon Sinong Zhan, Sipeng Chen, Zhenfei Yin, Minshuo Chen, Philip Torr, Zhaoran Wang, Qi Zhu

CoRR, May, 2026

On-Policy Distillation with Best-of-N Teacher Rollout Selection.

Ke Zhang, Yunjie Tian, Dongdi Zhao, Yijiang Li, Yuanye Liu, Vishal M. Patel, Di Fu

CoRR, May, 2026

Anisotropic Modality Align.

Xiaomin Yu, Yijiang Li, Yuhui Zhang, Hanzhen Zhao, Yue Yang, Hao Tang, Yue Song, Xiaobin Hu, Chengwei Qin, Shuicheng Yan, Hui Xiong

CoRR, May, 2026

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing.

Miao Wang, Yuling Shi, Yijiang Li, Yeheng Chen, Xiaodong Gu, Bin Li, Bo Gao, Yaduan Ruan

CoRR, May, 2026

LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning.

Hongwei Jin, Keunju Song, Zeeshan Memon, Yijiang Li, Stefano Fenu, Hongseok Kim, Liang Zhao, Kibaek Kim

CoRR, May, 2026

FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training.

Yijiang Li, Emon Dey, Zilinghan Li, Krishnan Raghavan, Ravi K. Madduri, Kibaek Kim

CoRR, May, 2026

Towards Systematic Generalization for Power Grid Optimization Problems.

Zeeshan Memon, Yijiang Li, Hongwei Jin, Kibaek Kim, Liang Zhao

CoRR, May, 2026

CocoaBench: Evaluating Unified Digital Agents in the Wild.

Shibo Hao, Zhining Zhang, Zhiqi Liang, Tianyang Liu, Yuheng Zha, Qiyue Gao, Jixuan Chen, Zilong Wang, Zhoujun Cheng, Haoxiang Zhang, Junli Wang, Hexi Jin, Boyuan Zheng, Kun Zhou, Yu Wang, Feng Yao, Licheng Liu, Yijiang Li, Zhifei Li, Zhengtao Han, Pracha Promthaw, Tommaso Cerruti, Xiaohan Fu, Ziqiao Ma, Jingbo Shang, Lianhui Qin, Julian J. McAuley, Eric P. Xing, Zhengzhong Liu, Rupesh Kumar Srivastava, Zhiting Hu

CoRR, April, 2026

ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model.

Haichao Zhang, Yijiang Li, Shwai He, Tushar Nagarajan, Mingfei Chen, Jianglin Lu, Ang Li, Yun Fu

CoRR, March, 2026

EgoForge: Goal-Directed Egocentric World Simulator.

Yifan Shen, Jiateng Liu, Xinzhuo Li, Yuanzhe Liu, Bingxuan Li, Houze Yang, Wenqi Jia, Yijiang Li, Tianjiao Yu, James Matthew Rehg, Xu Cao, Ismini Lourentzou

CoRR, March, 2026

Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers.

Yijiang Li, Zilinghan Li, Kyle Chard, Ian T. Foster, Todd S. Munson, Ravi K. Madduri, Kibaek Kim

CoRR, March, 2026

BackdoorIDS: Zero-shot Backdoor Detection for Pretrained Vision Encoder.

Siquan Huang, Yijiang Li, Ningzhi Gao, Xingfu Yan, Leyu Shi, Ying Gao

CoRR, March, 2026

Vision Language Models Cannot Reason About Physical Transformation.

Dezhi Luo, Yijiang Li, Maijunxian Wang, Tianwei Zhao, Bingyang Wang, Siheng Wang, Pinyuan Feng, Pooyan Rahmanzadehgervi, Ziqiao Ma, Hokin Deng

CoRR, March, 2026

LUMINA: Foundation Models for Topology Transferable ACOPF.

Yijiang Li, Zeeshan Memon, Hongwei Jin, Stefano Fenu, Keunju Song, Sunash B. Sharma, Parfait Gasana, Hongseok Kim, Liang Zhao, Kibaek Kim

CoRR, March, 2026

A Very Big Video Reasoning Suite.

Maijunxian Wang, Ruisi Wang, Juyi Lin, Ran Ji, Thaddäus Wiedemer, Qingying Gao, Dezhi Luo, Yaoyao Qian, Lianyu Huang, Zelong Hong, Jiahui Ge, Qianli Ma, Hang He, Yifan Zhou, Lingzi Guo, Lantao Mei, Jiachen Li, Hanwen Xing, Tianqi Zhao, Fengyuan Yu, Weihang Xiao, Yizheng Jiao, Jianheng Hou, Danyang Zhang, Pengcheng Xu, Boyang Zhong, Zehong Zhao, Gaoyun Fang, John Kitaoka, Yile Xu, Hua Xu, Kenton Blacutt, Tin Nguyen, Siyuan Song, Haoran Sun, Shaoyue Wen, Linyang He, Runming Wang, Yanzhi Wang, Mengyue Yang, Ziqiao Ma, Raphaël Millière, Freda Shi, Nuno Vasconcelos, Daniel Khashabi, Alan L. Yuille, Yilun Du, Ziming Liu, Bo Li, Dahua Lin, Ziwei Liu, Vikash Kumar, Yijiang Li, Lei Yang, Zhongang Cai, Hokin Deng

CoRR, February, 2026

Egocentric Bias in Vision-Language Models.

Maijunxian Wang, Yijiang Li, Bingyang Wang, Tianwei Zhao, Ran Ji, Qingying Gao, Emmy Liu, Hokin Deng, Dezhi Luo

CoRR, February, 2026

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

Xiangyi Li, Wenbo Chen, Yimin Liu, Shenghan Zheng, Xiaokun Chen, Yifeng He, Yubo Li, Bingran You, Haotian Shen, Jiankai Sun, Shuyi Wang, Qunhong Zeng, Di Wang, Xuandong Zhao, Yuanli Wang, Roey Ben Chaim, Zonglin Di, Yipeng Gao, Junwei He, Yizhuo He, Liqiang Jing, Luyang Kong, Xin Lan, Jiachen Li, Songlin Li, Yijiang Li, Yueqian Lin, Xinyi Liu, Xuanqing Liu, Haoran Lyu, Ze Ma, Bowei Wang, Runhui Wang, Tianfu Wang, Wengao Ye, Yue Zhang, Hanwen Xing, Yiqi Xue, Steven Dillmann, Han-Chung Lee

CoRR, February, 2026

Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs.

Zhongzhi Li, Xuansheng Wu, Yijiang Li, Lijie Hu, Ninghao Liu

CoRR, February, 2026

TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents.

Kaijie Zhu, Yuzhou Nie, Yijiang Li, Yiming Huang, Jialian Wu, Jiang Liu, Ximeng Sun, Zhenfei Yin, Lun Wang, Zicheng Liu, Emad Barsoum, William Yang Wang, Wenbo Guo

CoRR, February, 2026

RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning.

Yuexin Bian, Jie Feng, Tao Wang, Yijiang Li, Sicun Gao, Yuanyuan Shi

CoRR, January, 2026

Think3D: Thinking with Space for Spatial Reasoning.

Zaibin Zhang, Yuhan Wu, Lianjie Jia, Yifan Wang, Zhongbo Zhang, Yijiang Li, Binghao Ran, Fuxi Zhang, Zhuohan Sun, Zhenfei Yin, Lijun Wang, Huchuan Lu

CoRR, January, 2026

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhong-Zhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Francisco Piedrahita Velez, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

Trans. Mach. Learn. Res., 2026

2025

FedID: Enhancing Federated Learning Security Through Dynamic Identification.

Siquan Huang, Yijiang Li, Chong Chen, Ying Gao, Xiping Hu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards.

Xiangyuan Xue, Yifan Zhou, Guibin Zhang, Zaibin Zhang, Yijiang Li, Chen Zhang, Zhenfei Yin, Philip Torr, Wanli Ouyang, Lei Bai

CoRR, October, 2025

JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation.

Siheng Wang, Zhengtao Yao, Zhengdao Li, Junhao Dong, Yanshu Li, Yikai Li, Linshan Li, Haoyan Xu, Yijiang Li, Zhikang Dong, Huacan Wang, Jifeng Shen

CoRR, October, 2025

Enhancing Weakly Supervised Semantic Segmentation With Multi-Label Contrastive Learning and LLM Features Guidance.

Wentian Cai, Yijiang Li, Yandan Chen, Jing Lin, Zihao Huang, Ping Gao, Thippa Reddy Gadekallu, Wei Wang, Ying Gao

IEEE J. Biomed. Health Informatics, September, 2025

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhongzhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Michael Littman, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

CoRR, September, 2025

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists.

Pengsong Zhang, Xiang Hu, Guowei Huang, Yang Qi, Heng Zhang, Xiuxu Li, Jiaxing Song, Jiabin Luo, Yijiang Li, Shuo Yin, Chengxiao Dai, Eric Hanchen Jiang, Xiaoyan Zhou, Zhenfei Yin, Boqin Yuan, Jing Dong, Guinan Su, Guanren Qiao, Haiming Tang, Anghong Du, Lili Pan, Zhenzhong Lan, Xinyu Liu

CoRR, August, 2025

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis.

Haoyang Liu, Yijiang Li, Haohan Wang

CoRR, July, 2025

Can Vision Language Models Infer Human Gaze Direction? A Controlled Study.

Zory Zhang, Pinyuan Feng, Bingyang Wang, Tianwei Zhao, Suyang Yu, Qingying Gao, Hokin Deng, Ziqiao Ma, Yijiang Li, Dezhi Luo

CoRR, June, 2025

Machine Psychophysics: Cognitive Control in Vision-Language Models.

Dezhi Luo, Maijunxian Wang, Bingyang Wang, Tianwei Zhao, Yijiang Li, Hokin Deng

CoRR, May, 2025

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind.

Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, JiHyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas

CoRR, May, 2025

Achilles Heel of Distributed Multi-Agent Systems.

Yiting Zhang, Yijiang Li, Tianwei Zhao, Kaijie Zhu, Haohan Wang, Nuno Vasconcelos

CoRR, April, 2025

The Philosophical Foundations of Growing AI Like A Child.

Dezhi Luo, Yijiang Li, Hokin Deng

CoRR, February, 2025

ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning.

Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie

Trans. Mach. Learn. Res., 2025

Scope: On Detecting Constrained Backdoor Attacks in Federated Learning.

Siquan Huang, Yijiang Li, Xingfu Yan, Ying Gao, Chong Chen, Leyu Shi, Biao Chen, Wing W. Y. Ng

IEEE Trans. Inf. Forensics Secur., 2025

FedCleanse: Cleanse the backdoor attacks in federated learning system.

Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Wentian Cai, Ying Gao

Knowl. Based Syst., 2025

CircAge: A Comprehensive Resource for Aging-associated Circular RNAs Across Species and Tissues.

Xin Dong, Zhen Zhou, Yanan Wang, Ayesha Nisar, Shaoyan Pu, Longbao Lv, Yijiang Li, Xuemei Lu, Yonghan He

Genom. Proteom. Bioinform., 2025

Optimizing the design and operation of water networks: Two decomposition approaches.

Yijiang Li, Santanu S. Dey, Nikolaos V. Sahinidis, Naresh Susarla, Miguel A. Zamarripa, Markus Drouven

Comput. Chem. Eng., 2025

Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science.

Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, Ravi K. Madduri

Proceedings of the 7th IEEE International Conference on Trust, 2025

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models.

Jiachen Ma, Yijiang Li, Zhiqing Xiao, Anda Cao, Jie Zhang, Chao Ye, Junbo Zhao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

FedSpaLLM: Federated Pruning of Large Language Models.

Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

EgoPrivacy: What Your First-Person Camera Says About You?

Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Core Knowledge Deficits in Multi-Modal Language Models.

Yijiang Li, Qingying Gao, Tianwei Zhao, Bingyang Wang, Haoran Sun, Haiyun Lyu, Robert D. Hawkins, Nuno Vasconcelos, Tal Golan, Dezhi Luo, Hokin Deng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities.

Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unified Multimodal Understanding via Byte-Pair Visual Encoding.

Wanpeng Zhang, Yicheng Feng, Hao Luo, Yijiang Li, Zihao Yue, Sipeng Zheng, Zongqing Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Dataset Distillation via the Wasserstein Metric.

Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li, Jingrui He, Haohan Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

VideoOrion: Tokenizing Object Dynamics in Videos.

Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Hao Luo, Zihao Yue, Zongqing Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Robust-MVTON: Learning Cross-Pose Feature Alignment and Fusion for Robust Multi-View Virtual Try-On.

Nannan Zhang, Yijiang Li, Dong Du, Zheng Chong, Zhengwentai Sun, Jianhao Zeng, Yusheng Dai, Zhengyu Xie, Hairui Zhu, Xiaoguang Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Approximate Nullspace Augmented Finetuning for Robust Vision Transformers.

Haoyang Liu, Aditya Singh, Yijiang Li, Haohan Wang

Proceedings of the Conference on Parsimony and Learning, 2025

Probing Perceptual Constancy in Large Vision Language Models.

Haoran Sun, Suyang Yu, Yijiang Li, Qingying Gao, Haiyun Lyu, Hokin Deng, Dezhi Luo

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Probing Mechanical Reasoning in Large Vision Language Models.

Haoran Sun, Yijiang Li, Qingying Gao, Haiyun Lyu, Dezhi Luo, Hokin Deng

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Evaluating Vision Language Models Through Concept Hacking.

Yijiang Li, Bingyang Wang, Tianwei Zhao, Qingying Gao, Hokin Deng, Dezhi Luo

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Towards Adversarially Robust Dataset Distillation by Curvature Regularization.

Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A reformulation-enumeration MINLP algorithm for gas network design.

Yijiang Li, Santanu S. Dey, Nikolaos V. Sahinidis

J. Glob. Optim., December, 2024

Towards Understanding Adversarial Transferability in Federated Learning.

Yijiang Li, Ying Gao, Haohan Wang

Trans. Mach. Learn. Res., 2024

Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization.

Jixuan Leng, Yijiang Li, Haohan Wang

Trans. Mach. Learn. Res., 2024

Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection.

Yongshan Zhang, Yijiang Li, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Geosci. Remote. Sens. Lett., 2024

VideoOrion: Tokenizing Object Dynamics in Videos.

Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Zongqing Lu

CoRR, 2024

From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption.

Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, Kibaek Kim

CoRR, 2024

Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning.

Zihao Zhao, Yijiang Li, Yuchen Yang, Wenqing Zhang, Nuno Vasconcelos, Yinzhi Cao

CoRR, 2024

FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models.

Jiaqi Wu, Simin Chen, Yuzhe Yang, Yijiang Li, Shiyue Hou, Rui Jing, Zehua Wang, Wei Chen, Zijian Tian

CoRR, 2024

CogDevelop2K: Reversed Cognitive Development in Multimodal Large Language Models.

Yijiang Li, Qingying Gao, Haoran Sun, Haiyun Lyu, Dezhi Luo, Hokin Deng

CoRR, 2024

Vision Language Models Know Law of Conservation without Understanding More-or-Less.

Dezhi Luo, Haiyun Lyu, Qingying Gao, Haoran Sun, Yijiang Li, Hokin Deng

CoRR, 2024

Vision Language Models See What You Want but not What You See.

Qingying Gao, Yijiang Li, Haiyun Lyu, Haoran Sun, Dezhi Luo, Hokin Deng

CoRR, 2024

Can 3D Vision-Language Models Truly Understand Natural Language?

Weipeng Deng, Runyu Ding, Jihan Yang, Jiahui Liu, Yijiang Li, Xiaojuan Qi, Edith C. H. Ngai

CoRR, 2024

Approximate Nullspace Augmented Finetuning for Robust Vision Transformers.

Haoyang Liu, Aditya Singh, Yijiang Li, Haohan Wang

CoRR, 2024

Towards Adversarially Robust Dataset Distillation by Curvature Regularization.

Eric Xue, Yijiang Li, Haoyang Liu, Yifan Shen, Haohan Wang

CoRR, 2024

Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation.

Yijiang Li, Sucheng Ren, Weipeng Deng, Yuzhi Xu, Ying Gao, Edith C. H. Ngai, Haohan Wang

CoRR, 2024

Gradient-Free Adaptive Global Pruning for Pre-trained Language Models.

Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao

CoRR, 2024

Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data.

Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, Haohan Wang

CoRR, 2024

SparseLLM: Towards Global Pruning of Pre-trained Language Models.

Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RippleCOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning.

Zihao Zhao, Yuchen Yang, Yijiang Li, Yinzhi Cao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Prompt-based News Recommendation with Individual Template and Customized Answer.

Yijiang Li, Jun Wu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Decomposition Algorithms for Certain Integer Problems over Networks.

Yijiang Li

PhD thesis, 2023

DFTNet: Dual-Path Feature Transfer Network for Weakly Supervised Medical Image Segmentation.

Wentian Cai, Linsen Xie, Weixian Yang, Yijiang Li, Ying Gao, Tingting Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Understanding Adversarial Transferability in Federated Learning.

Yijiang Li, Ying Gao, Haohan Wang

CoRR, 2023

Improved YOLOv7 Based on Transformer for Object Detection in UAV-Captured Images.

Yuefan Luo, Qing Zhu, Zhen Zhou, Lin Chen, Jiaming Zhou, Tianjian Jiang, Yijiang Li, Danwei Wang, Yaonan Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-metrics adaptively identifies backdoors in Federated learning.

Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection.

Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Consistent Targets Provide Better Supervision in Semi-supervised Object Detection.

Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang

CoRR, 2022

Natural interactive control method for unmanned swarm systems based on gesture recognition.

Yijiang Li, Yaonan Wang, Yang Mo, Qing Zhu, Zhiqiang Miao, Yuefan Luo

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

More than Encoder: Introducing Transformer Decoder to Upsample.

Yijiang Li, Wentian Cai, Ying Gao, Chengming Li, Xiping Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

More than Encoder: Introducing Transformer Decoder to Upsample.

Yijiang Li, Wentian Cai, Ying Gao, Xiping Hu

CoRR, 2021

2020

Detection and Prediction of Ovulation From Body Temperature Measured by an In-Ear Wearable Thermometer.

Lan Luo, Xichen She, Jiexuan Cao, Yunlong Zhang, Yijiang Li, Peter X. K. Song

IEEE Trans. Biomed. Eng., 2020

2012

Graph-Based Optimization Algorithm and Software on Kidney Exchanges.

Yanhua Chen, Yijiang Li, John D. Kalbfleisch, Yan Zhou, Alan Leichtman, Peter X.-K. Song

IEEE Trans. Biomed. Eng., 2012