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Publication search results
found 274 matches
- 2024
- Jun Zhang, Yubin Li, Fanfan Shen, Yueshun He, Hai Tan, Yanxiang He:
Hierarchical text classification with multi-label contrastive learning and KNN. Neurocomputing 577: 127323 (2024) - Jiaqing Zhang, Tao Sun, Feng Liu, Yushun Liu, Liangpeng Ye:
Dynamic output feedback control for UAVs with limited network bandwidth: A GA-assisted design approach. J. Frankl. Inst. 361(2): 598-611 (2024) - Dongdong Hu, Linghua Kong, Wenjun Cai, Yushun Wang:
Fully decoupled, linear, and energy-preserving GSAV difference schemes for the nonlocal coupled sine-Gordon equations in multiple dimensions. Numer. Algorithms 95(4): 1953-1980 (2024) - Yen-Jen Chang, Ming-Hsin Lai, Chien-Ho Wang, Yu-Shun Huang, Jason Lin:
Target-Aware Yield Prediction (TAYP) Model Used to Improve Agriculture Crop Productivity. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data 18(3): 67:1-67:20 (2024) - Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma:
A Theory of Non-acyclic Generative Flow Networks. AAAI 2024: 11124-11131 - Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) 2024: 6311-6321 - Yushun Xie, Haiyan Wang, Le Wang, Lei Luo, Jianxin Li, Zhaoquan Gu:
Reinforced Negative Sampling for Knowledge Graph Embedding. DASFAA (4) 2024: 358-374 - Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li:
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs. EMNLP (Findings) 2024: 7079-7096 - Mengying Han, Yushun Li, Jon-Chao Hong:
K12 Blended Learning in China of "Education+" Era: From the Perspective of Ecology. ICBL 2024: 176-187 - Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li:
Adversarial Attacks on Fairness of Graph Neural Networks. ICLR 2024 - Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo:
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. ICML 2024 - Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li, Yu-Shuen Wang:
Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning. ICML 2024 - Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li:
Towards Certified Unlearning for Deep Neural Networks. ICML 2024 - Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li:
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD 2024: 621-630 - Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu:
Rethinking Fair Graph Neural Networks from Re-balancing. KDD 2024: 1736-1745 - Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen:
Provable Adaptivity of Adam under Non-uniform Smoothness. KDD 2024: 2960-2969 - Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li:
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) 2024: 352-363 - Lingjie Lin, Kunfeng Lai, Yushun Huang, Li Li, Jiawen Lin:
Scribbled-Supervised Meibomian Gland Segmentation via Perturbation and Conflict in Dual-Branch Network. PRCV (14) 2024: 560-570 - Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li:
PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) 2024: 1019-1022 - Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo:
Why Transformers Need Adam: A Hessian Perspective. CoRR abs/2402.16788 (2024) - Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li:
Safety in Graph Machine Learning: Threats and Safeguards. CoRR abs/2405.11034 (2024) - Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR abs/2406.13862 (2024) - Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun:
Adam-mini: Use Fewer Learning Rates To Gain More. CoRR abs/2406.16793 (2024) - Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR abs/2407.02408 (2024) - Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu:
Rethinking Fair Graph Neural Networks from Re-balancing. CoRR abs/2407.11624 (2024) - Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li:
A Benchmark for Fairness-Aware Graph Learning. CoRR abs/2407.12112 (2024) - Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li:
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR abs/2407.19398 (2024) - Yupeng Chen, Senmiao Wang, Zhihang Lin, Zeyu Qin, Yushun Zhang, Tian Ding, Ruoyu Sun:
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning. CoRR abs/2407.20999 (2024) - Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li:
Towards Certified Unlearning for Deep Neural Networks. CoRR abs/2408.00920 (2024)
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