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ORCIDYijiang Li
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2020 – today
- 2025
[j8]Yijiang Li, Santanu S. Dey, Nikolaos V. Sahinidis
, Naresh Susarla, Miguel A. Zamarripa, Markus Drouven:
Optimizing the design and operation of water networks: Two decomposition approaches. Comput. Chem. Eng. 192: 108897 (2025)- [j7]Siquan Huang, Yijiang Li, Xingfu Yan, Ying Gao, Chong Chen, Leyu Shi, Biao Chen, Wing W. Y. Ng:
Scope: On Detecting Constrained Backdoor Attacks in Federated Learning. IEEE Trans. Inf. Forensics Secur. 20: 3302-3315 (2025) - [c10]Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang:
Towards Adversarially Robust Dataset Distillation by Curvature Regularization. AAAI 2025: 9041-9049 - [i26]Haoran Sun, Suyang Yu, Yijiang Li, Qingying Gao, Haiyun Lyu, Hokin Deng, Dezhi Luo:
Probing Perceptual Constancy in Large Vision Language Models. CoRR abs/2502.10273 (2025) - [i25]Dezhi Luo, Yijiang Li, Hokin Deng:
The Philosophical Foundations of Growing AI Like A Child. CoRR abs/2502.10742 (2025) - 2024
- [j6]Yijiang Li, Santanu S. Dey, Nikolaos V. Sahinidis:
A reformulation-enumeration MINLP algorithm for gas network design. J. Glob. Optim. 90(4): 931-963 (2024) - [j5]Yongshan Zhang, Yijiang Li, Xinxin Wang, Xinwei Jiang, Yicong Zhou:
Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j4]Jixuan Leng, Yijiang Li, Haohan Wang:
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization. Trans. Mach. Learn. Res. 2024 (2024) - [c9]Yijiang Li, Jun Wu:
Improving Prompt-based News Recommendation with Individual Template and Customized Answer. CIKM 2024: 3887-3891 - [c8]Zihao Zhao, Yuchen Yang, Yijiang Li, Yinzhi Cao:
RippleCOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning. EMNLP (Findings) 2024: 6337-6347 - [c7]Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao:
SparseLLM: Towards Global Pruning of Pre-trained Language Models. NeurIPS 2024 - [i24]Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, Haohan Wang:
Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data. CoRR abs/2402.12391 (2024) - [i23]Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao:
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. CoRR abs/2402.17946 (2024) - [i22]Yijiang Li, Sucheng Ren, Weipeng Deng, Yuzhi Xu, Ying Gao, Edith C. H. Ngai, Haohan Wang:
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation. CoRR abs/2403.05523 (2024) - [i21]Eric Xue, Yijiang Li, Haoyang Liu, Yifan Shen, Haohan Wang:
Towards Adversarially Robust Dataset Distillation by Curvature Regularization. CoRR abs/2403.10045 (2024) - [i20]Haoyang Liu, Aditya Singh, Yijiang Li, Haohan Wang:
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers. CoRR abs/2403.10476 (2024) - [i19]Weipeng Deng, Runyu Ding, Jihan Yang, Jiahui Liu, Yijiang Li, Xiaojuan Qi, Edith C. H. Ngai:
Can 3D Vision-Language Models Truly Understand Natural Language? CoRR abs/2403.14760 (2024) - [i18]Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie:
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR abs/2405.15160 (2024) - [i17]Haoran Sun, Qingying Gao, Haiyun Lyu, Dezhi Luo, Hokin Deng, Yijiang Li:
Probing Mechanical Reasoning in Large Vision Language Models. CoRR abs/2410.00318 (2024) - [i16]Qingying Gao, Yijiang Li, Haiyun Lyu, Haoran Sun, Dezhi Luo, Hokin Deng:
Vision Language Models See What You Want but not What You See. CoRR abs/2410.00324 (2024) - [i15]Dezhi Luo, Haiyun Lyu, Qingying Gao, Haoran Sun, Yijiang Li, Hokin Deng:
Vision Language Models Know Law of Conservation without Understanding More-or-Less. CoRR abs/2410.00332 (2024) - [i14]Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu:
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. CoRR abs/2410.02155 (2024) - [i13]Zihao Zhao, Yuchen Yang, Yijiang Li, Yinzhi Cao:
RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning. CoRR abs/2410.03122 (2024) - [i12]Yijiang Li, Qingying Gao, Haoran Sun, Haiyun Lyu, Dezhi Luo, Hokin Deng:
CogDevelop2K: Reversed Cognitive Development in Multimodal Large Language Models. CoRR abs/2410.10855 (2024) - [i11]Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim:
FedSpaLLM: Federated Pruning of Large Language Models. CoRR abs/2410.14852 (2024) - [i10]Jiaqi Wu, Simin Chen, Yuzhe Yang, Yijiang Li, Shiyue Hou, Rui Jing, Zehua Wang, Wei Chen, Zijian Tian:
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models. CoRR abs/2411.00985 (2024) - [i9]Zihao Zhao, Yijiang Li, Yuchen Yang, Wenqing Zhang, Nuno Vasconcelos, Yinzhi Cao:
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning. CoRR abs/2411.02622 (2024) - [i8]Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, Kibaek Kim:
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption. CoRR abs/2411.14421 (2024) - [i7]Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Zongqing Lu:
VideoOrion: Tokenizing Object Dynamics in Videos. CoRR abs/2411.16156 (2024) - 2023
- [b1]Yijiang Li:
Decomposition Algorithms for Certain Integer Problems over Networks. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j3]Wentian Cai, Linsen Xie, Weixian Yang, Yijiang Li, Ying Gao, Tingting Wang:
DFTNet: Dual-Path Feature Transfer Network for Weakly Supervised Medical Image Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2530-2540 (2023) - [c6]Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang:
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection. CVPR 2023: 3240-3249 - [c5]Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao:
Multi-metrics adaptively identifies backdoors in Federated learning. ICCV 2023: 4629-4639 - [c4]Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao:
Diverse Cotraining Makes Strong Semi-Supervised Segmentor. ICCV 2023: 16009-16021 - [c3]Yuefan Luo, Qing Zhu, Zhen Zhou, Lin Chen, Jiaming Zhou, Tianjian Jiang, Yijiang Li, Danwei Wang, Yaonan Wang:
Improved YOLOv7 Based on Transformer for Object Detection in UAV-Captured Images. SMC 2023: 3152-3157 - [i6]Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao:
Multi-metrics adaptively identifies backdoors in Federated learning. CoRR abs/2303.06601 (2023) - [i5]Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao:
Diverse Cotraining Makes Strong Semi-Supervised Segmentor. CoRR abs/2308.09281 (2023) - [i4]Yijiang Li, Ying Gao, Haohan Wang:
Understanding Adversarial Transferability in Federated Learning. CoRR abs/2310.00616 (2023) - [i3]Jixuan Leng, Yijiang Li, Haohan Wang:
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization. CoRR abs/2311.15145 (2023) - 2022
- [c2]Yijiang Li, Wentian Cai, Ying Gao, Chengming Li, Xiping Hu:
More than Encoder: Introducing Transformer Decoder to Upsample. BIBM 2022: 1597-1602 - [c1]Yijiang Li, Yaonan Wang, Yang Mo, Qing Zhu, Zhiqiang Miao, Yuefan Luo:
Natural interactive control method for unmanned swarm systems based on gesture recognition. ROBIO 2022: 207-212 - [i2]Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang:
Consistent Targets Provide Better Supervision in Semi-supervised Object Detection. CoRR abs/2209.01589 (2022) - 2021
- [i1]Yijiang Li, Wentian Cai, Ying Gao, Xiping Hu:
More than Encoder: Introducing Transformer Decoder to Upsample. CoRR abs/2106.10637 (2021) - 2020
- [j2]Lan Luo, Xichen She, Jiexuan Cao, Yunlong Zhang, Yijiang Li, Peter X. K. Song:
Detection and Prediction of Ovulation From Body Temperature Measured by an In-Ear Wearable Thermometer. IEEE Trans. Biomed. Eng. 67(2): 512-522 (2020)
2010 – 2019
- 2012
- [j1]Yanhua Chen, Yijiang Li, John D. Kalbfleisch, Yan Zhou, Alan Leichtman, Peter X.-K. Song:
Graph-Based Optimization Algorithm and Software on Kidney Exchanges. IEEE Trans. Biomed. Eng. 59(7): 1985-1991 (2012)
Coauthor Index
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