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ORCIDTianhao Shi
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2020 – today
- 2025
[j7]Ye Liu
, Tianhao Shi, Mingliang Zhai, Jun Liu:
Frequency Decoupled Masked Auto-Encoder for Self-Supervised Skeleton-Based Action Recognition. IEEE Signal Process. Lett. 32: 546-550 (2025)- [j6]Ye Liu, Tianyong Wu, Tianhao Shi, Miaohui Wang, Hao Gao, Jun Liu:
Coupled Noise Suppression and Feature Enhancement Network for Skeleton-Based Action Recognition. IEEE Trans. Ind. Informatics 21(4): 3017-3026 (2025) - [c7]Zhongbin Jiang, Tianhao Shi, Hao Gao, Jun Liu, Ye Liu:
Diffusion Models are Good Unsupervised Class-agnostic Shape Part Segmentators. ICASSP 2025: 1-5 - [c6]Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng:
Fair Recommendation with Biased-Limited Sensitive Attribute. SIGIR 2025: 1717-1727 - [c5]Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng:
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. WWW (Companion Volume) 2025: 1346-1350 - 2024
- [c4]Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian:
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. CIKM 2024: 4051-4055 - [c3]Heyuan Li, Ce Chen, Tianhao Shi, Yuda Qiu, Sizhe An, Guanying Chen, Xiaoguang Han:
SphereHead: Stable 3D Full-Head Synthesis with Spherical Tri-Plane Representation. ECCV (75) 2024: 324-341 - [c2]Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He:
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. SIGIR 2024: 448-457 - [i5]Heyuan Li, Ce Chen, Tianhao Shi, Yuda Qiu, Sizhe An, Guanying Chen, Xiaoguang Han:
SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation. CoRR abs/2404.05680 (2024) - [i4]Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He:
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. CoRR abs/2405.01063 (2024) - [i3]Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng:
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. CoRR abs/2412.17593 (2024) - 2023
- [j5]Shifei Ding, Wei Du, Xiao Xu, Tianhao Shi, Yanru Wang, Chao Li:
An improved density peaks clustering algorithm based on natural neighbor with a merging strategy. Inf. Sci. 624: 252-276 (2023) - [j4]Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi:
A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data. Pattern Recognit. 136: 109238 (2023) - [j3]Dongsheng Han, Tianhao Shi, Tianyu Han, Zhenyu Zhou:
Joint Optimization of Trajectory and Node Access in UAV-Aided Data Collection System. IEEE Syst. J. 17(2): 2574-2585 (2023) - [c1]Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang:
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. SIGIR 2023: 1386-1395 - [i2]Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang:
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR abs/2304.13643 (2023) - [i1]Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian:
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. CoRR abs/2312.15599 (2023) - 2022
- [j2]Chao Li, Shifei Ding, Xiao Xu, Shuying Du, Tianhao Shi:
Fast density peaks clustering algorithm in polar coordinate system. Appl. Intell. 52(12): 14478-14490 (2022) - 2021
- [j1]Tianhao Shi, Shifei Ding, Xiao Xu, Ling Ding:
A community detection algorithm based on Quasi-Laplacian centrality peaks clustering. Appl. Intell. 51(11): 7917-7932 (2021)
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