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2020 – today
- 2025
[j23]Bin Li, Haoyu Wang, Xaoyu Tan, Qiong Li, Jue Chen, Xihe Qiu:
Adaptive heterogeneous graph reasoning for relational understanding in interconnected systems. J. Supercomput. 81(1): 112 (2025)- 2024
- [j22]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) - [j21]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) - [j20]Yan-Xu Chen, Yu-Jie Xiong, Xihe Qiu, Chun-Ming Xia:
Harmonious parameters and performance: Lightweight convolutional stage and local feature weighted fusion MLP for medical image segmentation. Biomed. Signal Process. Control. 98: 106726 (2024) - [j19]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) - [j18]Meng Cui, Jue Chen, Xihe Qiu, Wenjing Lv, Haijun Qin, Xinyu Zhang:
Multi-class intrusion detection system in SDN based on hybrid BiLSTM model. Clust. Comput. 27(7): 9937-9956 (2024) - [j17]Yurui Ma, Jue Chen, Wenjing Lv, Xihe Qiu, Yue Zhang, Wanxiao Liu:
An improved artificial bee colony algorithm to minimum propagation latency and balanced load for controller placement in Software Defined Network. Comput. Networks 250: 110600 (2024) - [j16]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) - [j15]Yaming Wang, Xiaoyan Jiang, Hamido Fujita, Zhijun Fang, Xihe Qiu, Jue Chen:
EFN6D: an efficient RGB-D fusion network for 6D pose estimation. J. Ambient Intell. Humaniz. Comput. 15(1): 75-88 (2024) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c11]Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu:
ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models. CIKM 2024: 3989-3993 - [c10]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 - [c9]Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) 2024: 755-762 - [c8]Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu:
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. ICRA 2024: 2112-2118 - [c7]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 - [c6]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 - [i12]Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu:
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. CoRR abs/2403.15100 (2024) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin:
FedSlate:A Federated Deep Reinforcement Learning Recommender System. CoRR abs/2409.14872 (2024) - [i3]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) - [i2]Xiaoyan Jiang, Hang Yang, Kaiying Zhu, Xihe Qiu, Shibo Zhao, Sifan Zhou:
PTQ4RIS: Post-Training Quantization for Referring Image Segmentation. CoRR abs/2409.17020 (2024) - [i1]Xiaoyan Jiang, Xinlong Wan, Kaiying Zhu, Xihe Qiu, Zhijun Fang:
Distribution-aware Noisy-label Crack Segmentation. CoRR abs/2410.09409 (2024) - 2023
- [j10]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) - [j9]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) - [j8]Changwei Xiao, Jue Chen, Xihe Qiu, Dun He, Hanmin Yin:
GOKA: A Network Partition and Cluster Fusion Algorithm for Controller Placement Problem in SDN. J. Circuits Syst. Comput. 32(9): 2350144:1-2350144:27 (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) - [j6]Dun He, Jue Chen, Xihe Qiu:
A density algorithm for controller placement problem in software defined wide area networks. J. Supercomput. 79(5): 5374-5402 (2023) - [c5]Wanxiao Liu, Jue Chen, Xihe Qiu:
CRNN-SA: A Network Intrusion Detection Method Based on Deep Learning. ADMA (2) 2023: 471-485 - [c4]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 - [c3]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 - [c2]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 - [c1]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 - 2022
- [j5]Jue Chen, Yu-Jie Xiong, Xihe Qiu, Dun He, Hanmin Yin, Changwei Xiao:
A cross entropy based approach to minimum propagation latency for controller placement in Software Defined Network. Comput. Commun. 191: 133-144 (2022) - [j4]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) - [j3]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) - [j2]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) - 2020
- [j1]Jue Chen, Fengting Yan, Dongmei Li, Shanshan Chen, Xihe Qiu:
Recovery and Reconstruction of Multicast Tree in Software-Defined Network: High Speed and Low Cost. IEEE Access 8: 27188-27201 (2020)
Coauthor Index
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