Sheng Li

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 160

Top Venues

Publications

Weili Shi, Sheng Li
Dual-windowed Vision Transformer with Angular Self- Attention. Trans. Mach. Learn. Res. 2024 (2024)
Daniel Petti, Ronghang Zhu, Sheng Li, Changying Li
Graph Neural Networks for lightweight plant organ tracking. Comput. Electron. Agric. 225 (2024)
Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. CoRR (2024)
Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li
Open-Set Graph Domain Adaptation via Separate Domain Alignment. AAAI (2024)
Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. CoRR (2024)
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
A Survey of Trustworthy Representation Learning Across Domains. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
Revealing an Overlooked Challenge in Class-Incremental Graph Learning. Trans. Mach. Learn. Res. 2024 (2024)
Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI (2024)
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. CoRR (2024)
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI (2024)
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. SIGIR (2024)
Dongliang Guo, Yun Fu, Sheng Li
Ada-VAD: Domain Adaptable Video Anomaly Detection. SDM (2024)
Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). AAAI (2024)
Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks. CoRR (2024)
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
A Survey of Trustworthy Representation Learning Across Domains. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags. CoRR (2024)
Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Trans. Cogn. Dev. Syst. 16 (2) (2024)
Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
Continual Causal Inference with Incremental Observational Data. ICDE (2023)
Wayland Yeung, Zhongliang Zhou, Sheng Li, Natarajan Kannan
Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings. Briefings Bioinform. 24 (1) (2023)
Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Brady O'boyle, Mariah Salcedo, Aarya Venkat, William Lanzilotta, Sheng Li, Natarajan Kannan
Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies. Briefings Bioinform. 24 (1) (2023)
Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR (2023)
Daiqing Qi, Handong Zhao, Sheng Li
Better Generative Replay for Continual Federated Learning. ICLR (2023)
Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. CoRR (2023)
Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun
Estimating Propensity Scores with Deep Adaptive Variable Selection. SDM (2023)
Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li
Co-Embedding of Nodes and Edges With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Sheng Li
Towards Trustworthy Representation Learning. SDM (2023)
Ronghang Zhu, Xiang Yu, Sheng Li
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer. ICLR (2023)
Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
Data-Centric Financial Large Language Models. CoRR (2023)
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia
Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 65 (8) (2023)
Ronghang Zhu, Xiang Yu, Sheng Li
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation. Trans. Mach. Learn. Res. 2023 (2023)
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM (2023)
Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. IJCAI (2023)
Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. Bioinform. 39 (2) (2023)
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR (2023)
Zhaiming Shen, Ming-Jun Lai, Sheng Li
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. IJCAI (2023)
Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li
XDC: Adaptive Cross Domain Short Text Clustering. SDM (2023)
Weili Shi, Zhongliang Zhou, Benjamin H. Letcher, Nathaniel P. Hitt, Yoichiro Kanno, Ryo Futamura, Osamu Kishida, Kentaro Morita, Sheng Li
Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years. AI (1) (2023)
Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications. CoRR (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Dongliang Guo, Zhixuan Chu, Sheng Li
Fair Attribute Completion on Graph with Missing Attributes. ICLR (2023)
Zhixuan Chu, Sheng Li
Continual Treatment Effect Estimation: Challenges and Opportunities. AAAI Bridge Program (2023)
Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu
Frame Flexible Network. CVPR (2023)
Daiqing Qi, Handong Zhao, Sheng Li
Better Generative Replay for Continual Federated Learning. CoRR (2023)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. CoRR (2022)
Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang
Optimizing Data Layout for Training Deep Neural Networks. WWW (Companion Volume) (2022)
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
Collaborative Attention Mechanism for Multi-Modal Time Series Classification. SDM (2022)
Ronghang Zhu, Sheng Li
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation. SDM (2022)
Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CIKM (2022)
Weili Shi, Sheng Li
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training. Big Data (2022)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. SDM (2022)
Weili Shi, Ronghang Zhu, Sheng Li
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation. KDD (2022)
Zhao Zhang, Meng Wang, Sheng Li, Zheng Zhang
Editorial: Deep dictionary learning: Algorithm, theory and application. Neurocomputing 491 (2022)
Saed Rezayi, Handong Zhao, Sheng Li
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract). AAAI (2022)
Heng-Shiou Sheu, Zhixuan Chu, Daiqing Qi, Sheng Li
Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Zhongliang Zhou, Nathaniel P. Hitt, Benjamin H. Letcher, Weili Shi, Sheng Li
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification. Big Data (2022)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CHIL (2022)
Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. CoRR (2022)
Ronghang Zhu, Sheng Li
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization. ICLR (2022)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CoRR (2022)
Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CoRR (2022)
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM (2021)
Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM (2021)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. KDD (2021)
Saed Rezayi, Saber Soleymani, Hamid R. Arabnia, Sheng Li
Socially Aware Multimodal Deep Neural Networks for Fake News Classification. MIPR (2021)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. CoRR (2021)
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
Transferable Feature Learning on Graphs Across Visual Domains. ICME (2021)
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR (2021)
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT (2021)
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. AAAI (2021)
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR (2021)
Zhao Zhang, Sheng Li, Meng Wang, Shuicheng Yan
Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions. Image Vis. Comput. 112 (2021)
Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu
Adversarial Memory Networks for Action Prediction. CoRR (2021)
Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li
A Framework for Knowledge-Derived Query Suggestions. IEEE BigData (2021)
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
Automated Graph Learning via Population Based Self-Tuning GCN. CoRR (2021)
Ronghang Zhu, Sheng Li
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. ICDM (2021)
Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Kang Yuan, Sheng Li
2.5D Pose Guided Human Image Generation. ICMR (2021)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CIKM (2020)
Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller, Sheng Li
Stereotype-Free Classification of Fictitious Faces. CoRR (2020)
Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
Causal Inference Meets Machine Learning. KDD (2020)
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li
Co-embedding of Nodes and Edges with Graph Neural Networks. CoRR (2020)
Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Process. 29 (2020)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CoRR (2020)
Heng-Shiou Sheu, Sheng Li
Context-aware Graph Embedding for Session-based News Recommendation. RecSys (2020)
Abhilash Dorle, Fangyu Li, Wenzhan Song, Sheng Li
Learning Discriminative Virtual Sequences for Time Series Classification. CIKM (2020)
Liang-Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction. BMC Bioinform. 21 (1) (2020)
Fangyu Li, José Clemente, Maria Valero, Zion Tse, Sheng Li, WenZhan Song
Smart Home Monitoring System via Footstep-Induced Vibrations. IEEE Syst. J. 14 (3) (2020)
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
Collaborative Attention Mechanism for Multi-View Action Recognition. CoRR (2020)
Sheng Li, Handong Zhao
A Survey on Representation Learning for User Modeling. IJCAI (2020)
Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
A Survey on Causal Inference. CoRR (2020)
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI (2019)
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CoRR (2019)
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. CoRR (2019)
Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SDM (2019)
Sheng Li, Zhiqiang Tao, Kang Li, Yun Fu
Visual to Text: Survey of Image and Video Captioning. IEEE Trans. Emerg. Top. Comput. Intell. 3 (4) (2019)
Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sheng Li