default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYizhou Sun
孙怡舟
Person information
- unicode name: 孙怡舟
- affiliation: University of California, Los Angeles, CA, USA
- affiliation (former): Northeastern University, Boston, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j33]Fang Fang, Yizhou Sun:
Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network. Comput. Biol. Medicine 175: 108371 (2024)- [j32]Yizhou Sun, Jiao Liu, Fang Fang, Yaoguo Huang
:
Deciphering the abundance of immune cells in glomerular endothelium of Alport syndrome kidneys using the deconvolution algorithm CONVdeconv. Future Gener. Comput. Syst. 161: 496-501 (2024) - [c168]Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun:
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. ACL (Findings) 2024: 2707-2720 - [c167]Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang:
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. ICLR 2024 - [c166]Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun:
PGODE: Towards High-quality System Dynamics Modeling. ICML 2024 - [c165]Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun:
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. ICML 2024 - [c164]Arjun Subramonian, Levent Sagun, Yizhou Sun:
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. ICML 2024 - [c163]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML 2024 - [c162]Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong:
Learning to Compare Hardware Designs for High-Level Synthesis. MLCAD 2024: 2:1-2:7 - [c161]Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong:
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. MLCAD 2024: 14:1-14:12 - [c160]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT 2024: 5784-5809 - [c159]Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun:
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. SDM 2024: 19-27 - [c158]Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun:
Fast Inference of Removal-Based Node Influence. WWW 2024: 422-433 - [c157]Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. WWW 2024: 4607-4617 - [i119]Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun:
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. CoRR abs/2401.08627 (2024) - [i118]Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun:
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR abs/2402.13415 (2024) - [i117]Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun:
An Evaluation of Large Language Models in Bioinformatics Research. CoRR abs/2402.13714 (2024) - [i116]Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. CoRR abs/2403.00178 (2024) - [i115]Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun:
Fast Inference of Removal-Based Node Influence. CoRR abs/2403.08333 (2024) - [i114]Arjun Subramonian, Jian Kang, Yizhou Sun:
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks. CoRR abs/2404.03139 (2024) - [i113]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Hierarchical Attention Models for Multi-Relational Graphs. CoRR abs/2404.09365 (2024) - [i112]Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis:
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR abs/2404.18271 (2024) - [i111]Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR abs/2405.00077 (2024) - [i110]Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong:
HMT: Hierarchical Memory Transformer for Long Context Language Processing. CoRR abs/2405.06067 (2024) - [i109]Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang:
Mixture of In-Context Prompters for Tabular PFNs. CoRR abs/2405.16156 (2024) - [i108]Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover:
VideoPhy: Evaluating Physical Commonsense for Video Generation. CoRR abs/2406.03520 (2024) - [i107]Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong:
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. CoRR abs/2406.09606 (2024) - [i106]Shichang Zhang, Botao Xia, Zimin Zhang, Qianli Wu, Fang Sun, Ziniu Hu, Yizhou Sun:
Automated Molecular Concept Generation and Labeling with Large Language Models. CoRR abs/2406.09612 (2024) - [i105]Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk:
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval. CoRR abs/2406.10746 (2024) - [i104]Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun:
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR abs/2406.11884 (2024) - [i103]Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. CoRR abs/2407.09722 (2024) - [i102]Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun:
Relational Database Augmented Large Language Model. CoRR abs/2407.15071 (2024) - [i101]Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun:
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. CoRR abs/2408.00114 (2024) - [i100]Marco Maurizi, Derek Xu, Yu-Tong Wang, Desheng Yao, David Hahn, Mourad Oudich, Anish Satpati, Mathieu Bauchy, Wei Wang, Yizhou Sun, Yun Jing, Xiaoyu Rayne Zheng:
Inverse designing metamaterials with programmable nonlinear functional responses in graph space. CoRR abs/2408.06300 (2024) - [i99]Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun:
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. CoRR abs/2408.12171 (2024) - [i98]Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong:
Efficient Task Transfer for HLS DSE. CoRR abs/2408.13270 (2024) - 2023
- [j31]Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun:
Detecting political biases of named entities and hashtags on Twitter. EPJ Data Sci. 12(1): 20 (2023) - [j30]Tong Wang, Xu-Wen Wang, Kathleen A. Lee-Sarwar, Augusto A. Litonjua, Scott T. Weiss, Yizhou Sun, Sergei Maslov, Yang-Yu Liu:
Predicting metabolomic profiles from microbial composition through neural ordinary differential equations. Nat. Mac. Intell. 5(3): 284-293 (2023) - [j29]Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun:
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023) - [j28]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 41(3): 51:1-51:5 (2023) - [j27]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. ACM Trans. Inf. Syst. 41(4): 82:1-82:6 (2023) - [c156]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI 2023: 12968-12976 - [c155]Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) 2023: 172-185 - [c154]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) 2023: 10105-10118 - [c153]Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang:
Introducing Semantics into Speech Encoders. ACL (1) 2023: 11413-11429 - [c152]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR 2023: 23369-23379 - [c151]Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun:
Question-Answer Sentence Graph for Joint Modeling Answer Selection. EACL 2023: 968-979 - [c150]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Robust GNN-Based Representation Learning for HLS. ICCAD 2023: 1-9 - [c149]Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. ICLR 2023 - [c148]Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun:
HOPE: High-order Graph ODE For Modeling Interacting Dynamics. ICML 2023: 23124-23139 - [c147]Ben Gorr, Alan Aguilar Jaramillo, Zida Wu, Wooyeong Cho, Kewei Cheng, Molly K. Stroud, Vinay Ravindra, Cédric H. David, Huilin Gao, Yizhou Sun, Ankur Mehta, George H. Allen, Daniel Selva:
Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web. IGARSS 2023: 4602-4605 - [c146]Alan Aguilar Jaramillo, Ben Gorr, Vinay Ravindra, Cédric H. David, Molly K. Stroud, Ankur Mehta, George H. Allen, Wooyeong Cho, Kewei Cheng, Huilin Gao, Yizhou Sun, Zida Wu, Daniel Selva:
Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts. IGARSS 2023: 4748-4751 - [c145]Zijie Huang, Yizhou Sun, Wei Wang:
Generalizing Graph ODE for Learning Complex System Dynamics across Environments. KDD 2023: 798-809 - [c144]Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. KDD 2023: 997-1009 - [c143]Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun:
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. NeurIPS 2023 - [c142]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS 2023 - [c141]Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong:
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs. NeurIPS 2023 - [c140]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS 2023 - [c139]Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang:
Code Recommendation for Open Source Software Developers. WWW 2023: 1324-1333 - [c138]Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. WWW 2023: 2467-2476 - [c137]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW 2023: 3784-3793 - [e4]Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. ACM 2023 [contents] - [i97]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR abs/2302.12465 (2023) - [i96]Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. CoRR abs/2303.03581 (2023) - [i95]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Bi-Level Attention Graph Neural Networks. CoRR abs/2304.11533 (2023) - [i94]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR abs/2306.08129 (2023) - [i93]Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. CoRR abs/2306.11216 (2023) - [i92]Shengming Zhang, Yizhou Sun:
Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction. CoRR abs/2306.13770 (2023) - [i91]Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun:
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR abs/2306.14052 (2023) - [i90]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR abs/2307.01933 (2023) - [i89]Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu:
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks. CoRR abs/2307.03937 (2023) - [i88]Zijie Huang, Yizhou Sun, Wei Wang:
Generalizing Graph ODE for Learning Complex System Dynamics across Environments. CoRR abs/2307.04287 (2023) - [i87]Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun:
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. CoRR abs/2307.05775 (2023) - [i86]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR abs/2307.09688 (2023) - [i85]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR abs/2307.10635 (2023) - [i84]Derek Xu, Yizhou Sun, Wei Wang:
Unveiling Invariances via Neural Network Pruning. CoRR abs/2309.08171 (2023) - [i83]Arjun Subramonian, Levent Sagun, Yizhou Sun:
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. CoRR abs/2309.17417 (2023) - [i82]Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang:
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR abs/2310.00115 (2023) - [i81]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR abs/2310.04743 (2023) - [i80]Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang:
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. CoRR abs/2310.06427 (2023) - [i79]Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun:
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. CoRR abs/2311.06554 (2023) - 2022
- [j26]Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang:
Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks 154: 481-490 (2022) - [j25]Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. Proc. VLDB Endow. 15(6): 1288-1296 (2022) - [j24]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. 15(12): 3807-3811 (2022) - [j23]Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu:
Guest Editorial: Special Issue on Social Media Computing. IEEE Trans. Big Data 8(4): 953-954 (2022) - [j22]Yue Hu, Xu Li, Xuan Dong, Dong Kong, Qimin Xu, Yizhou Sun:
A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j21]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34(10): 4854-4873 (2022) - [c136]Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. AAAI 2022: 3939-3948 - [c135]Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun:
Unsupervised Adversarially Robust Representation Learning on Graphs. AAAI 2022: 4290-4298 - [c134]Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang:
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. AAAI 2022: 4299-4307 - [c133]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. AAAI 2022: 5746-5754 - [c132]Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun:
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). AAAI 2022: 13029-13030 - [c131]Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang:
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) 2022: 474-485 - [c130]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. AKBC 2022 - [c129]Song Jiang, Yizhou Sun:
Estimating Causal Effects on Networked Observational Data via Representation Learning. CIKM 2022: 852-861 - [c128]Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun:
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. CIKM 2022: 3202-3211 - [c127]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated accelerator optimization aided by graph neural networks. DAC 2022: 55-60 - [c126]Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong:
Improving GNN-based accelerator design automation with meta learning. DAC 2022: 1347-1350 - [c125]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP 2022: 9562-9581 - [c124]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated Accelerator Optimization Aided by Graph Neural Networks. FPGA 2022: 50 - [c123]Yizhou Sun, Ya Zhang:
Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks. ICARCV 2022: 778-783 - [c122]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR 2022 - [c121]Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun:
RLogic: Recursive Logical Rule Learning from Knowledge Graphs. KDD 2022: 179-189 - [c120]Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun:
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. KDD 2022: 676-686 - [c119]Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi:
Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS 2022 - [c118]Arjun Subramonian, Kai-Wei Chang, Yizhou Sun:
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs. NeurIPS 2022 - [c117]Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun:
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS 2022 - [c116]