Tianhao Shi

23 papers A* 4A 1Misc 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Coupled Noise Suppression and Feature Enhancement Network for Skeleton-Based Action Recognition.
IEEE Trans. Ind. Informatics
Ye Liu, Tianyong Wu, Tianhao Shi, Miaohui Wang, Hao Gao, Jun Liu
2025 — conf
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation.
EMNLP (Findings)
Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua
2025 J jnl
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation.
CoRR
Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua
2025 Misc conf
Diffusion Models are Good Unsupervised Class-agnostic Shape Part Segmentators.
ICASSP
Zhongbin Jiang, Tianhao Shi, Hao Gao, Jun Liu, Ye Liu
2025 A* conf
Fair Recommendation with Biased-Limited Sensitive Attribute.
SIGIR
Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng
2025 J jnl
Frequency Decoupled Masked Auto-Encoder for Self-Supervised Skeleton-Based Action Recognition.
IEEE Signal Process. Lett.
Ye Liu, Tianhao Shi, Mingliang Zhai, Jun Liu
2025 A* conf
Latent Inter-User Difference Modeling for LLM Personalization.
EMNLP
Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng
2025 J jnl
Latent Inter-User Difference Modeling for LLM Personalization.
CoRR
Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng
2025 — conf
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation.
WWW (Companion Volume)
Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng
2024 A* conf
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.
SIGIR
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
2024 J jnl
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.
CoRR
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
2024 J jnl
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation.
CoRR
Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng
2024 A conf
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.
CIKM
Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
2024 — conf
SphereHead: Stable 3D Full-Head Synthesis with Spherical Tri-Plane Representation.
ECCV (75)
Heyuan Li, Ce Chen, Tianhao Shi, Yuda Qiu, Sizhe An, Guanying Chen, Xiaoguang Han
2024 J jnl
SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation.
CoRR
Heyuan Li, Ce Chen, Tianhao Shi, Yuda Qiu, Sizhe An, Guanying Chen, Xiaoguang Han
2023 J jnl
A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data.
Pattern Recognit.
Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi
2023 J jnl
An improved density peaks clustering algorithm based on natural neighbor with a merging strategy.
Inf. Sci.
Shifei Ding, Wei Du, Xiao Xu, Tianhao Shi, Yanru Wang, Chao Li
2023 J jnl
Joint Optimization of Trajectory and Node Access in UAV-Aided Data Collection System.
IEEE Syst. J.
Dongsheng Han, Tianhao Shi, Tianyu Han, Zhenyu Zhou
2023 J jnl
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.
CoRR
Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
2023 A* conf
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.
SIGIR
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
2023 J jnl
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.
CoRR
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
2022 J jnl
Fast density peaks clustering algorithm in polar coordinate system.
Appl. Intell.
Chao Li, Shifei Ding, Xiao Xu, Shuying Du, Tianhao Shi
2021 J jnl
A community detection algorithm based on Quasi-Laplacian centrality peaks clustering.
Appl. Intell.
Tianhao Shi, Shifei Ding, Xiao Xu, Ling Ding