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2020 – today
- 2024
[j17]Haoyu Wang
, Xihe Qiu, Xiaoyu Tan:
Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis. Appl. Intell. 54(22): 11672-11689 (2024)- [j16]Xihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin:
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. Appl. Soft Comput. 154: 111324 (2024) - [j15]Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Zhijun Fang:
G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction. Comput. Biol. Medicine 173: 108376 (2024) - [j14]Bo Zhang, Xihe Qiu, Xiaoyu Tan:
Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach. Eng. Appl. Artif. Intell. 131: 107784 (2024) - [j13]Xihe Qiu, Yajun Ru, Xiaoyu Tan, Jue Chen, Bin Chen, Yun Guo:
A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction. Int. J. Mach. Learn. Cybern. 15(4): 1201-1212 (2024) - [j12]Xihe Qiu, Haoyu Wang, Xiaoyu Tan:
Inferring Intents From Equivariant-Invariant Representations and Relational Learning in Multiagent Systems. IEEE Syst. J. 18(3): 1765-1775 (2024) - [j11]Xihe Qiu, Teqi Hao, Shaojie Shi, Xiaoyu Tan, Yu-Jie Xiong:
Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set. IEEE Signal Process. Lett. 31: 875-879 (2024) - [j10]Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin:
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2974-2986 (2024) - [c15]Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu:
Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. ECAI 2024: 2870-2877 - [c14]Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu:
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. ICRA 2024: 2112-2118 - [c13]Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. KDD 2024: 5762-5772 - [c12]Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. SIGIR 2024: 2384-2389 - [i15]Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu:
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. CoRR abs/2403.15100 (2024) - [i14]Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu:
MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. CoRR abs/2407.05305 (2024) - [i13]Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR abs/2407.12522 (2024) - [i12]Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR abs/2407.12532 (2024) - [i11]Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi:
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR abs/2407.14562 (2024) - [i10]Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu:
Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence. CoRR abs/2407.17164 (2024) - [i9]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Jing Pan, Jue Chen, Zhijun Fang, Yinghui Xu, Wei Chu, Yuan Qi:
Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory. CoRR abs/2408.10608 (2024) - [i8]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu:
CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. CoRR abs/2409.03381 (2024) - [i7]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Wei Chu, Yinghui Xu:
LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs. CoRR abs/2409.04744 (2024) - [i6]Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin:
FedSlate:A Federated Deep Reinforcement Learning Recommender System. CoRR abs/2409.14872 (2024) - [i5]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. CoRR abs/2409.14945 (2024) - 2023
- [j9]Jiahui Qian, Xihe Qiu, Xiaoyu Tan, Qiong Li, Jue Chen, Xiaoyan Jiang:
An Attentive LSTM based approach for adverse drug reactions prediction. Appl. Intell. 53(5): 4875-4889 (2023) - [j8]Xihe Qiu, Xiaoyu Tan, Fengting Yan, Qianmin Su, Jue Chen, Xiaoyan Jiang:
Semi-supervised recommender system for bone implant ratio recommendation. J. Ambient Intell. Humaniz. Comput. 14(5): 5615-5624 (2023) - [j7]Xihe Qiu, Bo Zhang, Qiong Li, Xiaoyu Tan, Jue Chen:
PCSboost: A Multi-Model Machine Learning Framework for Key Fragments Selection of Channelrhodopsins Achieving Optogenetics. J. Circuits Syst. Comput. 32(14): 2350249:1-2350249:18 (2023) - [c11]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI 2023: 9543-9551 - [c10]Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi:
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. ACL (industry) 2023: 390-403 - [c9]Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi:
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. EMNLP (Industry Track) 2023: 471-482 - [c8]Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi:
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. EMNLP (Industry Track) 2023: 650-662 - [c7]Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li:
Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. ICCV 2023: 21282-21291 - [c6]Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi:
Provably Invariant Learning without Domain Information. ICML 2023: 33563-33580 - [c5]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP 2023: 205-211 - [i4]Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi:
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. CoRR abs/2312.05621 (2023) - 2022
- [j6]Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin:
Sparse-attentive meta temporal point process for clinical decision support. Neurocomputing 485: 114-123 (2022) - [j5]Shaotao Chen, Xihe Qiu, Xiaoyu Tan, Zhijun Fang, Yaochu Jin:
A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings. Inf. Sci. 611: 47-64 (2022) - [j4]Xihe Qiu, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin:
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support. Knowl. Based Syst. 237: 107689 (2022) - [c4]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 2022: 4290-4299 - [i3]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR abs/2201.12569 (2022) - [i2]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR abs/2205.15795 (2022) - 2020
- [j3]Xiaoyu Tan, Yonggu Lee, Chin-Boon Chng, Kah-Bin Lim, Chee-Kong Chui:
Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning. Int. J. Comput. Assist. Radiol. Surg. 15(2): 341-349 (2020) - [i1]Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang:
Model Embedding Model-Based Reinforcement Learning. CoRR abs/2006.09234 (2020)
2010 – 2019
- 2019
- [j2]Xiaoyu Tan, Chin-Boon Chng, Ye Su, Kah-Bin Lim, Chee-Kong Chui:
Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 4(2): 485-492 (2019) - [c3]Chin-Boon Chng, Pooi-Mun Wong, Nicholas J. H. Ho, Xiaoyu Tan, Chee-Kong Chui:
Towards a Cyber-Physical Systems Based Operating Room of the Future. OR/MLCN@MICCAI 2019: 47-55 - [c2]Yonggu Lee, Xiaoyu Tan, Chin-Boon Chng, Chee-Kong Chui:
Simulation of Robot-Assisted Flexible Needle Insertion Using Deep Q-Network. SMC 2019: 342-346 - 2018
- [j1]Xiaoyu Tan, Pengqian Yu, Kah-Bin Lim, Chee-Kong Chui:
Robust path planning for flexible needle insertion using Markov decision processes. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1439-1451 (2018) - 2016
- [c1]Xiaoyu Tan, Chin-Boon Chng, Bin Duan, Yvonne Ho, Rong Wen, Xuan Chen, Kah Bin Lim, Chee-Kong Chui:
Design and implementation of a patient-specific cognitive engine for robotic needle insertion. SMC 2016: 560-565
Coauthor Index
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