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ORCIDSheng Li 0001
Person information
- affiliation: University of Virginia, Charlottesville, VA, USA
- affiliation (former): University of Georgia, Athens, GA, USA
- affiliation (former): Northeastern University, Boston, MA, USA
- affiliation (former): Nanjing University of Posts and Telecommunications, China
Other persons with the same name
- Sheng Li — disambiguation page
- Sheng Li 0002
![[0000-0002-6258-3147]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6258-3147")
— Peking University, Department of Psychology, Beijing, China (and 2 more) - Sheng Li 0003 — Harbin Institute of Technology, Laboratory of Machine Intelligence and Translation, China
- Sheng Li 0005 — Zhejiang University of Technology, Hangzhou, China (and 2 more)
- Sheng Li 0006 — Fudan University, School of Computer Science, Shanghai Institute of Intelligent Electronics and Systems, China (and 2 more)
- Sheng Li 0007 — Google, Mountain View, CA, USA (and 3 more)
- Sheng Li 0008 — Peking University, Department of Computer Science, Beijing, China
- Sheng Li 0009 — Xijing University, Xi'an, China (and 1 more)
- Sheng Li 0010 — National Institute of Information and Communications Technology (NICT), Universal Communication Research Institute (UCRI), Kyoto, Japan (and 5 more)
- Sheng Li 0011 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more)
- Sheng Li 0012 — Nanjing Institute of Technology, School of Electric Power Engineering, China
- Sheng Li 0013 — Central University of Finance and Economics, Beijing, China
- Sheng Li 0014 — Karlsruhe Institute of Technology, Germany
- Sheng Li 0015 — University of Texas Health Science Center at Houston, TX, USA
- Sheng Li 0016 — Nanjing University of Science and Technology, Nanjing, Jiangsu, China
- Sheng Li 0017 — Alibaba Inc., Hangzhou, China (and 1 more)
- Sheng Li 0018 — Wuhan University of Technology, National Engineering Laboratory for Fiber Optic Sensing Technology, China
- Sheng Li 0019 — University of Pittsburgh, PA, USA (and 1 more)
- Sheng Li 0020 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j47]Daniel Petti, Ronghang Zhu, Sheng Li, Changying Li:
Graph Neural Networks for lightweight plant organ tracking. Comput. Electron. Agric. 225: 109294 (2024)- [j46]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): 584-594 (2024) - [j45]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): 173 (2024) - [j44]Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li:
Revealing an Overlooked Challenge in Class-Incremental Graph Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j43]Weili Shi, Sheng Li:
Dual-windowed Vision Transformer with Angular Self- Attention. Trans. Mach. Learn. Res. 2024 (2024) - [c111]Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Open-Set Graph Domain Adaptation via Separate Domain Alignment. AAAI 2024: 9142-9150 - [c110]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI 2024: 11642-11650 - [c109]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: 19189-19196 - [c108]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: 23506-23507 - [c107]Dongliang Guo, Yun Fu, Sheng Li:
Ada-VAD: Domain Adaptable Video Anomaly Detection. SDM 2024: 634-642 - [c106]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: 2749-2754 - [i59]Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li:
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions. CoRR abs/2402.11068 (2024) - [i58]Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, Xiang Li:
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis. CoRR abs/2402.11398 (2024) - [i57]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 abs/2403.19584 (2024) - [i56]Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti:
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. CoRR abs/2404.01101 (2024) - [i55]Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li:
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks. CoRR abs/2404.17511 (2024) - [i54]Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li:
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags. CoRR abs/2406.10839 (2024) - [i53]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 abs/2406.13763 (2024) - 2023
- [j42]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) - [j41]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) - [j40]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) - [j39]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): 3223-3250 (2023) - [j38]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): 7075-7086 (2023) - [j37]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): 8799-8810 (2023) - [j36]Ronghang Zhu, Xiang Yu, Sheng Li:
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation. Trans. Mach. Learn. Res. 2023 (2023) - [j35]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): 3847-3858 (2023) - [c105]Zhixuan Chu, Sheng Li:
Continual Treatment Effect Estimation: Challenges and Opportunities. AAAI Bridge Program 2023: 11-17 - [c104]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: 252-264 - [c103]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: 1294-1299 - [c102]Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li:
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. CIKM 2023: 2270-2279 - [c101]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CVPR 2023: 10504-10513 - [c100]Hemadri Jayalath, Ghadeer I. Yassin, Lakshmish Ramaswamy, Sheng Li:
Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback. ICAART (3) 2023: 285-292 - [c99]Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li:
Continual Causal Inference with Incremental Observational Data. ICDE 2023: 3430-3439 - [c98]Dongliang Guo, Zhixuan Chu, Sheng Li:
Fair Attribute Completion on Graph with Missing Attributes. ICLR 2023 - [c97]Daiqing Qi, Handong Zhao, Sheng Li:
Better Generative Replay for Continual Federated Learning. ICLR 2023 - [c96]Ronghang Zhu, Xiang Yu, Sheng Li:
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer. ICLR 2023 - [c95]Zhaiming Shen, Ming-Jun Lai, Sheng Li:
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. IJCAI 2023: 4190-4198 - [c94]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: 4684-4692 - [c93]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: 205-213 - [c92]Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun:
Estimating Propensity Scores with Deep Adaptive Variable Selection. SDM 2023: 730-738 - [c91]Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li:
XDC: Adaptive Cross Domain Short Text Clustering. SDM 2023: 927-935 - [c90]Sheng Li:
Towards Trustworthy Representation Learning. SDM 2023: 957-960 - [c89]Zhanwen Chen, Saed Rezayi, Sheng Li:
More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment. WACV 2023: 4012-4021 - [i52]Zhixuan Chu, Sheng Li:
Continual Treatment Effect Estimation: Challenges and Opportunities. CoRR abs/2301.01026 (2023) - [i51]Zhixuan Chu, Jianmin Huang, Ruopeng Li, Wei Chu, Sheng Li:
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities. CoRR abs/2302.00848 (2023) - [i50]Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu:
Towards Explainable Visual Anomaly Detection. CoRR abs/2302.06670 (2023) - [i49]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai:
Mask-guided BERT for Few Shot Text Classification. CoRR abs/2302.10447 (2023) - [i48]Dongliang Guo, Zhixuan Chu, Sheng Li:
Fair Attribute Completion on Graph with Missing Attributes. CoRR abs/2302.12977 (2023) - [i47]Daiqing Qi, Handong Zhao, Sheng Li:
Better Generative Replay for Continual Federated Learning. CoRR abs/2302.13001 (2023) - [i46]Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023) - [i45]Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li:
Continual Causal Inference with Incremental Observational Data. CoRR abs/2303.01775 (2023) - [i44]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CoRR abs/2303.14817 (2023) - [i43]Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Changying Li, Tianming Liu:
AGI for Agriculture. CoRR abs/2304.06136 (2023) - [i42]Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li:
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. CoRR abs/2304.10597 (2023) - [i41]Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai:
Artificial General Intelligence (AGI) for Education. CoRR abs/2304.12479 (2023) - [i40]Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu:
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks. CoRR abs/2305.03289 (2023) - [i39]Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li:
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. CoRR abs/2305.11304 (2023) - [i38]Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu:
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. CoRR abs/2306.10095 (2023) - [i37]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li:
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. CoRR abs/2306.11892 (2023) - [i36]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 abs/2307.01389 (2023) - [i35]Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Brian Murray, Tianming Liu, Andrea Sikora:
PharmacyGPT: The AI Pharmacist. CoRR abs/2307.10432 (2023) - [i34]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 abs/2308.10835 (2023) - [i33]Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li:
Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR abs/2308.10837 (2023) - [i32]Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li:
Trustworthy Representation Learning Across Domains. CoRR abs/2308.12315 (2023) - [i31]Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song:
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR abs/2309.07438 (2023) - [i30]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 abs/2310.17784 (2023) - [i29]Lian Zhang, Jason M. Holmes, Zhengliang Liu, Hongying Feng, Terence T. Sio, Carlos E. Vargas, Sameer R. Keole, Kristin Stützer, Sheng Li, Tianming Liu, Jiajian Shen, William W. Wong, Sujay A. Vora, Wei Liu:
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability. CoRR abs/2312.00975 (2023) - [i28]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 abs/2312.06082 (2023) - [i27]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. CoRR abs/2312.16113 (2023) - 2022
- [j34]Zhao Zhang, Meng Wang, Sheng Li, Zheng Zhang:
Editorial: Deep dictionary learning: Algorithm, theory and application. Neurocomputing 491: 492-493 (2022) - [j33]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): 7921-7927 (2022) - [c88]Saed Rezayi, Handong Zhao, Sheng Li:
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract). AAAI 2022: 13035-13036 - [c87]Weili Shi, Sheng Li:
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training. IEEE Big Data 2022: 135-140 - [c86]Zhongliang Zhou, Nathaniel P. Hitt, Benjamin H. Letcher, Weili Shi, Sheng Li:
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification. IEEE Big Data 2022: 6850-6852 - [c85]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CHIL 2022: 79-91 - [c84]Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li:
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CIKM 2022: 3043-3051 - [c83]Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao:
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. CIKM 2022: 4640-4644 - [c82]Ronghang Zhu, Sheng Li:
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization. ICLR 2022 - [c81]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li:
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. IJCAI 2022: 5150-5156 - [c80]Weili Shi, Ronghang Zhu, Sheng Li:
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation. KDD 2022: 1598-1606 - [c79]Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li:
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. MLMI@MICCAI 2022: 269-278 - [c78]Ronghang Zhu, Sheng Li:
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation. SDM 2022: 1-9 - [c77]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. SDM 2022: 433-441 - [c76]Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-Modal Time Series Classification. SDM 2022: 495-503 - [i26]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. CoRR abs/2202.10885 (2022) - [i25]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CoRR abs/2203.05123 (2022) - [i24]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. CoRR abs/2206.10821 (2022) - [i23]Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li:
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CoRR abs/2208.10113 (2022) - [i22]Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. CoRR abs/2211.02849 (2022) - [i21]Zhaiming Shen, Ming-Jun Lai, Sheng Li:
Semi-supervised Local Cluster Extraction by Compressive Sensing. CoRR abs/2211.11114 (2022) - 2021
- [j32]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: 104239 (2021) - [j31]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15(5): 74:1-74:46 (2021) - [j30]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): 1523-1539 (2021) - [c75]Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. AAAI 2021: 6714-6722 - [c74]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: 510-518 - [c73]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: 3583-3587 - [c72]Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. 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: 270-279 - [c71]Ronghang Zhu, Sheng Li:
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. ICDM 2021: 1547-1552 - [c70]Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li:
Transferable Feature Learning on Graphs Across Visual Domains. ICME 2021: 1-6 - [c69]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. KDD 2021: 176-184 - [c68]Saed Rezayi, Saber Soleymani, Hamid R. Arabnia, Sheng Li:
Socially Aware Multimodal Deep Neural Networks for Fake News Classification. MIPR 2021: 253-259 - [c67]Kang Yuan, Sheng Li:
2.5D Pose Guided Human Image Generation. ICMR 2021: 501-505 - [c66]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776 - [c65]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR 2021: 2096-2100 - [i20]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021) - [i19]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. CoRR abs/2106.02881 (2021) - [i18]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. CoRR abs/2107.04713 (2021) - [i17]Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu:
Adversarial Memory Networks for Action Prediction. CoRR abs/2112.09875 (2021) - 2020
- [j29]Liang-Chin Huang,