Yizhou Sun

423 papers A* 102A 32B 11C 3Journal 207Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI+HW 2035: Shaping the Next Decade.
CoRR
Deming Chen, Jason Cong, Azalia Mirhoseini, Christos Kozyrakis, Subhasish Mitra, Jinjun Xiong, Cliff Young, Anima Anandkumar, Michael L. Littman, Aron Kirschen, Sophia Shao, Serge Leef, Naresh R. Shanbhag, Dejan S. Milojicic, Michael Schulte, Gert Cauwenberghs, Jerry M. Chow, Tri Dao, Kailash Gopalakrishnan, Richard Ho, Hoshik Kim, Kunle Olukotun, David Z. Pan, Mark Ren, Dan Roth, Aarti Singh, Yizhou Sun, Yusu Wang, Yann LeCun, Ruchir Puri
2026 J jnl
ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning.
CoRR
Xiaoxuan Wang, Han Zhang, Haixin Wang, Yidan Shi, Ruoyan Li, Kaiqiao Han, Chenyi Tong, Haoran Deng, Renliang Sun, Alexander Taylor, Yanqiao Zhu, Jason Cong, Yizhou Sun, Wei Wang
2026 A conf
AgRefactor: Refactoring for HLS Compatibility with a Self-Evolving Agentic Workflow.
FPGA
Yang Zou, Zijian Ding, Chi Wang, Yizhou Sun, Jason Cong
2026 J jnl
Choosing How to Remember: Adaptive Memory Structures for LLM Agents.
CoRR
Mingfei Lu, Mengjia Wu, Feng Liu, Jiawei Xu, Weikai Li, Haoyang Wang, Zhengdong Hu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026 J jnl
ConFu: Contemplate the Future for Better Speculative Sampling.
CoRR
Zongyue Qin, Raghavv Goel, Mukul Gagrani, Risheek Garrepalli, Mingu Lee, Yizhou Sun
2026 J jnl
FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design.
CoRR
Jiahao Zhang, Zifan He, Nicholas Fraser, Michaela Blott, Yizhou Sun, Jason Cong
2026 A* conf
From Newborn to Impact: Bias-Aware Citation Prediction.
WWW
Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026 A* conf
Model AI Assignments 2026.
AAAI
Todd W. Neller, Steve Geinitz, Kevin Wang, Zach Dodds, Nicholas Dodds, Ryan O'Connor, Aimen Taha, Ananta Manoranjan, Saurabh Ray, Deepak Ajwani, Fang Sun, Paul Zhang, Pranav Subbaraman, Yizhou Sun, Lisa Dunlap, Taehan Kim, Deena Sun, Ishir Garg, Mark Ogata, Aakarsh Vermani, Narges Norouzi, Joseph Gonzalez, Varada Kolhatkar
2026 J jnl
Report for NSF Workshop on AI for Electronic Design Automation.
CoRR
Deming Chen, Vijay Ganesh, Weikai Li, Yingyan Celine Lin, Yong Liu, Subhasish Mitra, David Z. Pan, Ruchir Puri, Jason Cong, Yizhou Sun
2026 J jnl
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.
CoRR
Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026 — conf
Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics.
KDD (1)
Ruoyan Li, Zijie Huang, Haixin Wang, Guancheng Wan, Yizhou Sun, Wei Wang
2026 J jnl
Understand and Accelerate Memory Processing Pipeline for Disaggregated LLM Inference.
CoRR
Zifan He, Rui Ma, Yizhou Sun, Jason Cong
2025 J jnl
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
CoRR
Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025 J jnl
A Multimodal LLM Approach for Visual Question Answering on Multiparametric 3D Brain MRI.
CoRR
Arvind Murari Vepa, Yannan Yu, Jingru Gan, Anthony Cuturrufo, Weikai Li, Wei Wang, Fabien Scalzo, Yizhou Sun
2025 J jnl
A Social Dynamical System for Twitter Analysis.
CoRR
Zhiping Xiao, Xinyu Wang, Yifang Qin, Zijie Huang, Mason A. Porter, Yizhou Sun
2025 J jnl
Accelerating Time Series Foundation Models with Speculative Decoding.
CoRR
Pranav Subbaraman, Fang Sun, Yue Yao, Huacong Tang, Xiao Luo, Yizhou Sun
2025 J jnl
Agree to Disagree? A Meta-Evaluation of LLM Misgendering.
CoRR
Arjun Subramonian, Vagrant Gautam, Preethi Seshadri, Dietrich Klakow, Kai-Wei Chang, Yizhou Sun
2025 J jnl
An LLM-based Agent Simulation Approach to Study Moral Evolution.
CoRR
Ziheng Zhou, Huacong Tang, Mingjie Bi, Yipeng Kang, Wanying He, Fang Sun, Yizhou Sun, Ying Nian Wu, Demetri Terzopoulos, Fangwei Zhong
2025 A* conf
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation.
AAAI
Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao
2025 B conf
Automated Molecular Concept Generation and Labeling with Large Language Models.
COLING
Zimin Zhang, Qianli Wu, Botao Xia, Fang Sun, Ziniu Hu, Yizhou Sun, Shichang Zhang
2025 J jnl
Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data.
CoRR
Haoran Deng, Yingyu Lin, Zhenghao Lin, Xiao Liu, Yizhou Sun, Yi-An Ma, Yeyun Gong
2025 J jnl
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE.
CoRR
Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang
2025 J jnl
Beyond the Time Domain: Recent Advances on Frequency Transforms in Time Series Analysis.
CoRR
Qianru Zhang, Peng Yang, Honggang Wen, Xinzhu Li, Haixin Wang, Fang Sun, Zezheng Song, Zhichen Lai, Rui Ma, Ruihua Han, Tailin Wu, Siu-Ming Yiu, Yizhou Sun, Hongzhi Yin
2025 J jnl
CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation.
CoRR
Ethan Ji, Yuanzhou Chen, Arush Ramteke, Fang Sun, Tianrun Yu, Jai Parera, Wei Wang, Yizhou Sun
2025 — conf
Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting.
BIBM
Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025 J jnl
Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting.
CoRR
Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025 A* conf
Contradiction Retrieval via Contrastive Learning with Sparsity.
ICML
Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk
2025 J jnl
Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts.
CoRR
Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang
2025 A* conf
Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark.
ICLR
Haining Yu, Yizhou Sun
2025 J jnl
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models.
CoRR
Eric Hanchen Jiang, Guancheng Wan, Sophia Yin, Mengting Li, Yuchen Wu, Xiao Liang, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu
2025 A* conf
Dynamic-Width Speculative Beam Decoding for LLM Inference.
AAAI
Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2025 J jnl
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.
CoRR
Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun
2025 J jnl
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
CoRR
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Adrian Chen, Yizhou Sun
2025 J jnl
From Coarse to Fine: A Physics-Informed Self-Guided Flow Diffusion Model.
CoRR
Ruoyan Li, Zijie Huang, Yizhou Sun, Wei Wang
2025 J jnl
From Newborn to Impact: Bias-Aware Citation Prediction.
CoRR
Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2025 — conf
Future Matters for Present: Towards Effective Physical Simulation over Meshes.
KDD (1)
Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun
2025 J jnl
Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics.
Trans. Mach. Learn. Res.
Fang Sun, Zijie Huang, Haixin Wang, Huacong Tang, Xiao Luo, Wei Wang, Yizhou Sun
2025 — conf
HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing.
NAACL (Long Papers)
Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong
2025 J jnl
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction.
CoRR
Zongyue Qin, Shichang Zhang, Mingxuan Ju, Tong Zhao, Neil Shah, Yizhou Sun
2025 A* conf
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
AAAI
Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun
2025 — conf
How Do Large Language Models Perform in Dynamical System Modeling.
NAACL (Findings)
Xiao Luo, Binqi Chen, Haixin Wang, Zhiping Xiao, Ming Zhang, Yizhou Sun
2025 — conf
How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective.
EMNLP (Findings)
Xiao Luo, Changhu Wang, Yizhou Sun, Wei Wang
2025 J jnl
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence.
CoRR
Hongzhe Du, Weikai Li, Min Cai, Karim Saraipour, Zimin Zhang, Himabindu Lakkaraju, Yizhou Sun, Shichang Zhang
2025 J jnl
Iceberg: Enhancing HLS Modeling with Synthetic Data.
CoRR
Zijian Ding, Tung Nguyen, Weikai Li, Aditya Grover, Yizhou Sun, Jason Cong
2025 — conf
Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection.
ACL (1)
Mingyu Derek Ma, Yanna Ding, Zijie Huang, Jianxi Gao, Yizhou Sun, Wei Wang
2025 J jnl
Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection.
CoRR
Mingyu Derek Ma, Yanna Ding, Zijie Huang, Jianxi Gao, Yizhou Sun, Wei Wang
2025 J jnl
LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning.
CoRR
Neha Prakriya, Zijian Ding, Yizhou Sun, Jason Cong
2025 J jnl
LLM-DSE: Searching Accelerator Parameters with LLM Agents.
CoRR
Hanyu Wang, Xinrui Wu, Zijian Ding, Su Zheng, Chengyue Wang, Tony Nowatzki, Yizhou Sun, Jason Cong
2025 J jnl
Learning Probabilities of Causation from Finite Population Data.
CoRR
Shuai Wang, Song Jiang, Yizhou Sun, Judea Pearl, Ang Li
2025 J jnl
Lossless Token Sequence Compression via Meta-Tokens.
CoRR
John Harvill, Ziwei Fan, Hao Wang, Yizhou Sun, Hao Ding, Luke Huan, Anoop Deoras
2025 A* conf
Mixture of In-Context Prompters for Tabular PFNs.
ICLR
Derek Qiang Xu, F. Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang
2025 — conf
Neural Network Pruning for Invariance Learning.
KDD (1)
Derek Xu, Yuanzhou Chen, Yizhou Sun, Wei Wang
2025 — conf
Open-Set Living Need Prediction with Large Language Models.
ACL (Findings)
Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi, Hengliang Luo, Yong Li
2025 J jnl
Open-Set Living Need Prediction with Large Language Models.
CoRR
Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Yong Li
2025 A* conf
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference.
ICLR
Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2025 — ed.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025
KDD (1)
Yizhou Sun, Flavio Chierichetti, Hady W. Lauw, Claudia Perlich, Wee Hyong Tok, Andrew Tomkins
2025 — ed.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025
KDD (2)
Luiza Antonie, Jian Pei, Xiaohui Yu, Flavio Chierichetti, Hady W. Lauw, Yizhou Sun, Srinivasan Parthasarathy
2025 — conf
Protein Large Language Models: A Comprehensive Survey.
EMNLP (Findings)
Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025 J jnl
Protein Large Language Models: A Comprehensive Survey.
CoRR
Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025 A* conf
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search.
ICML
Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2025 J jnl
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search.
CoRR
Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2025 J jnl
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design.
CoRR
Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang
2025 A* conf
Rethink GraphODE Generalization within Coupled Dynamical System.
ICML
Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang
2025 J jnl
Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation.
CoRR
Xiaoda Wang, Kaiqiao Han, Yuhao Xu, Xiao Luo, Yizhou Sun, Wei Wang, Carl Yang
2025 — conf
V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning.
ACL (Findings)
Zongyu Lin, Zhikun Xu, Xiaohan Song, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, Yizhou Sun
2025 A* conf
VideoPhy: Evaluating Physical Commonsense for Video Generation.
ICLR
Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover
2024 A* conf
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract).
IJCAI
Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
2024 J jnl
An Evaluation of Large Language Models in Bioinformatics Research.
CoRR
Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun
2024 J jnl
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation.
CoRR
Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao
2024 J jnl
Automated Molecular Concept Generation and Labeling with Large Language Models.
CoRR
Shichang Zhang, Botao Xia, Zimin Zhang, Qianli Wu, Fang Sun, Ziniu Hu, Yizhou Sun
2024 — conf
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
BHI
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024 J jnl
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
CoRR
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024 A* conf
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems.
WWW
Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
2024 J jnl
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems.
CoRR
Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
2024 — conf
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.
MLCAD
Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong
2024 J jnl
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.
CoRR
Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong
2024 J jnl
Deciphering the abundance of immune cells in glomerular endothelium of Alport syndrome kidneys using the deconvolution algorithm CONVdeconv.
Future Gener. Comput. Syst.
Yizhou Sun, Jiao Liu, Fang Fang, Yaoguo Huang
2024 J jnl
Do Contemporary CATE Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark.
CoRR
Haining Yu, Yizhou Sun
2024 — conf
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations.
MMSR@CIKM
Zhicheng Ren, Zhiping Xiao, Yizhou Sun
2024 J jnl
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations.
CoRR
Zhicheng Ren, Zhiping Xiao, Yizhou Sun
2024 J jnl
Does Few-Shot Learning Help LLM Performance in Code Synthesis?
CoRR
Derek Xu, Tong Xie, Botao Xia, Haoyu Li, Yunsheng Bai, Yizhou Sun, Wei Wang
2024 J jnl
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference.
CoRR
Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2024 A conf
Efficient Task Transfer for HLS DSE.
ICCAD
Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong
2024 J jnl
Efficient Task Transfer for HLS DSE.
CoRR
Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong
2024 — conf
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
ACL (Findings)
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun
2024 A* conf
Fast Inference of Removal-Based Node Influence.
WWW
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
2024 J jnl
Fast Inference of Removal-Based Node Influence.
CoRR
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
2024 J jnl
Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.
CoRR
Fang Sun, Zijie Huang, Haixin Wang, Yadi Cao, Xiao Luo, Wei Wang, Yizhou Sun
2024 J jnl
HMT: Hierarchical Memory Transformer for Long Context Language Processing.
CoRR
Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong
2024 J jnl
Harnessing GNNs for Robust Representation Learning in High-Level Synthesis.
IEEE Trans. Circuits Syst. Artif. Intell.
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2024 J jnl
Hierarchical Attention Models for Multi-Relational Graphs.
CoRR
Roshni G. Iyer, Wei Wang, Yizhou Sun
2024 J jnl
Hierarchical Compression of Text-Rich Graphs via Large Language Models.
CoRR
Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
2024 J jnl
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
CoRR
Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun
2024 J jnl
Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2024 J jnl
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR
Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun
2024 A* conf
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation.
NeurIPS
Arvind Vepa, Zukang Yang, Andrew Choi, Jungseock Joo, Fabien Scalzo, Yizhou Sun
2024 J jnl
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation.
CoRR
Arvind Murari Vepa, Zukang Yang, Andrew Choi, Jungseock Joo, Fabien Scalzo, Yizhou Sun
2024 J jnl
Inverse designing metamaterials with programmable nonlinear functional responses in graph space.
CoRR
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
2024 A conf
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks.
SDM
Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun
2024 A* conf
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks.
ICLR
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
2024 — conf
Learning to Compare Hardware Designs for High-Level Synthesis.
MLCAD
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong
2024 J jnl
Learning to Compare Hardware Designs for High-Level Synthesis.
CoRR
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong
2024 J jnl
Mixture of In-Context Prompters for Tabular PFNs.
CoRR
Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang
2024 J jnl
Motif-Driven Contrastive Learning of Graph Representations.
IEEE Trans. Knowl. Data Eng.
Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun
2024 J jnl
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference.
CoRR
Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2024 A* conf
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction.
ICML
Arjun Subramonian, Levent Sagun, Yizhou Sun
2024 J jnl
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey.
ACM Trans. Knowl. Discov. Data
Kewei Cheng, Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Yizhou Sun
2024 A* conf
Non-Euclidean Mixture Model for Social Network Embedding.
NeurIPS
Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun
2024 J jnl
Non-Euclidean Mixture Model for Social Network Embedding.
CoRR
Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun
2024 A* conf
PGODE: Towards High-quality System Dynamics Modeling.
ICML
Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun
2024 J jnl
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning.
CoRR
Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
2024 A* conf
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.
NeurIPS
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2024 J jnl
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.
CoRR
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2024 A* conf
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks.
ICML
Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun
2024 J jnl
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks.
CoRR
Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun
2024 J jnl
Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network.
Comput. Biol. Medicine
Fang Fang, Yizhou Sun
2024 — conf
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
NAACL-HLT
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2024 J jnl
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.
CoRR
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
2024 J jnl
Relational Database Augmented Large Language Model.
CoRR
Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun
2024 J jnl
STIV: Scalable Text and Image Conditioned Video Generation.
CoRR
Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang
2024 A* conf
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.
ICML
Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2024 J jnl
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval.
CoRR
Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk
2024 A* conf
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.
EMNLP
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
2024 J jnl
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.
CoRR
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
2024 A* conf
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks.
NeurIPS
Arjun Subramonian, Jian Kang, Yizhou Sun
2024 J jnl
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks.
CoRR
Arjun Subramonian, Jian Kang, Yizhou Sun
2024 J jnl
VideoPhy: Evaluating Physical Commonsense for Video Generation.
CoRR
Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover
2023 A* conf
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings.
WWW
Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
2023 J jnl
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR
Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun
2023 A* conf
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.
NeurIPS
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi
2023 J jnl
AVIS: Autonomous Visual Information Seeking with Large Language Models.
CoRR
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi
2023 A* conf
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
NeurIPS
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
2023 J jnl
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
CoRR
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
2023 J jnl
Bi-Level Attention Graph Neural Networks.
CoRR
Roshni G. Iyer, Wei Wang, Yizhou Sun
2023 A* conf
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.
NeurIPS
Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun
2023 A* conf
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
KDD
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
2023 J jnl
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
CoRR
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
2023 A* conf
Code Recommendation for Open Source Software Developers.
WWW
Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang
2023 — conf
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
ACL (Findings)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023 J jnl
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
CoRR
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023 C conf
Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts.
IGARSS
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
2023 J jnl
Detecting political biases of named entities and hashtags on Twitter.
EPJ Data Sci.
Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun
2023 A* conf
Generalizing Graph ODE for Learning Complex System Dynamics across Environments.
KDD
Zijie Huang, Yizhou Sun, Wei Wang
2023 J jnl
Generalizing Graph ODE for Learning Complex System Dynamics across Environments.
CoRR
Zijie Huang, Yizhou Sun, Wei Wang
2023 J jnl
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.
CoRR
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
2023 A* conf
HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
ICML
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks.
CoRR
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2023 — conf
Introducing Semantics into Speech Encoders.
ACL (1)
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
2023 J jnl
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks.
CoRR
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
2023 J jnl
Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction.
CoRR
Shengming Zhang, Yizhou Sun
2023 C conf
Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web.
IGARSS
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
2023 J jnl
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction.
CoRR
Arjun Subramonian, Levent Sagun, Yizhou Sun
2023 A* conf
Neural Compositional Rule Learning for Knowledge Graph Reasoning.
ICLR
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
2023 J jnl
Neural Compositional Rule Learning for Knowledge Graph Reasoning.
CoRR
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
2023 A* conf
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
WWW
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
2023 J jnl
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
CoRR
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
2023 J jnl
Predicting metabolomic profiles from microbial composition through neural ordinary differential equations.
Nat. Mac. Intell.
Tong Wang, Xu-Wen Wang, Kathleen A. Lee-Sarwar, Augusto A. Litonjua, Scott T. Weiss, Yizhou Sun, Sergei Maslov, Yang-Yu Liu
2023 A* ed.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023
KDD
Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye
2023 A* conf
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.
AAAI
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
2023 A conf
Question-Answer Sentence Graph for Joint Modeling Answer Selection.
EACL
Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun
2023 J jnl
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res.
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
CoRR
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2023 A* conf
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
CVPR
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
2023 A conf
Robust GNN-Based Representation Learning for HLS.
ICCAD
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2023 J jnl
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.
CoRR
Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2023 J jnl
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.
CoRR
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2023 — conf
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.
ACL (industry)
Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2023 A* conf
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs.
NeurIPS
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
2023 J jnl
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst.
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
2023 J jnl
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2.
ACM Trans. Inf. Syst.
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
2023 J jnl
Unveiling Invariances via Neural Network Pruning.
CoRR
Derek Xu, Yizhou Sun, Wei Wang
2023 J jnl
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test.
CoRR
Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun
2022 J jnl
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis.
CoRR
Danfeng Guo, Zijie Huang, Junheng Hao, Yizhou Sun, Wei Wang, Demetri Terzopoulos
2022 J jnl
A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments.
IEEE Trans. Instrum. Meas.
Yue Hu, Xu Li, Xuan Dong, Dong Kong, Qimin Xu, Yizhou Sun
2022 C conf
Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks.
ICARCV
Yizhou Sun, Ya Zhang
2022 A conf
Automated Accelerator Optimization Aided by Graph Neural Networks.
FPGA
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2022 A* conf
Automated accelerator optimization aided by graph neural networks.
DAC
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2022 A* conf
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.
AAAI
Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang
2022 A conf
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting.
CIKM
Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun
2022 J jnl
Code Recommendation for Open Source Software Developers.
CoRR
Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang
2022 J jnl
Detecting Political Biases of Named Entities and Hashtags on Twitter.
CoRR
Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun
2022 J jnl
Dissimilar Nodes Improve Graph Active Learning.
CoRR
Zhicheng Ren, Yifu Yuan, Yuxin Wu, Xiaxuan Gao, Yewen Wang, Yizhou Sun
2022 A* conf
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs.
KDD
Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun
2022 J jnl
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs.
CoRR
Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun
2022 A* conf
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.
EMNLP
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 J jnl
Empowering Language Models with Knowledge Graph Reasoning for Question Answering.
CoRR
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 A conf
Estimating Causal Effects on Networked Observational Data via Representation Learning.
CIKM
Song Jiang, Yizhou Sun
2022 J jnl
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games.
CoRR
Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun
2022 A* conf
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs.
AAAI
Xuelu Chen, Ziniu Hu, Yizhou Sun
2022 A* conf
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract).
AAAI
Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun
2022 A* conf
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games.
NeurIPS
Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun
2022 A* conf
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation.
ICLR
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
2022 J jnl
Guest Editorial: Special Issue on Social Media Computing.
IEEE Trans. Big Data
Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu
2022 J jnl
Heterogeneous Information Networks: the Past, the Present, and the Future.
Proc. VLDB Endow.
Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu
2022 J jnl
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.
IEEE Trans. Knowl. Data Eng.
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2022 A* conf
Improving GNN-based accelerator design automation with meta learning.
DAC
Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong
2022 A* conf
Improving Multi-Task Generalization via Regularizing Spurious Correlation.
NeurIPS
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
2022 J jnl
Improving Multi-Task Generalization via Regularizing Spurious Correlation.
CoRR
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
2022 J jnl
Introducing Semantics into Speech Encoders.
CoRR
Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang
2022 J jnl
Learning Probabilities of Causation from Finite Population Data.
CoRR
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
2022 — conf
Multi-source Inductive Knowledge Graph Transfer.
ECML/PKDD (2)
Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang
2022 — conf
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
ACL (1)
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022 J jnl
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
CoRR
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022 J jnl
Multivariate time-series classification with hierarchical variational graph pooling.
Neural Networks
Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
2022 J jnl
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics.
CoRR
Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao
2022 A* conf
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs.
NeurIPS
Arjun Subramonian, Kai-Wei Chang, Yizhou Sun
2022 J jnl
PGE: Robust Product Graph Embedding Learning for Error Detection.
CoRR
Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2022 J jnl
PGE: Robust Product Graph Embedding Learning for Error Detection.
Proc. VLDB Endow.
Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2022 J jnl
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes.
CoRR
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
2022 J jnl
Question-Answer Sentence Graph for Joint Modeling Answer Selection.
CoRR
Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun
2022 J jnl
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
CoRR
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
2022 A* conf
RLogic: Recursive Logical Rule Learning from Knowledge Graphs.
KDD
Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun
2022 — conf
Schema-Guided Event Graph Completion.
AKBC
Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji
2022 J jnl
Schema-Guided Event Graph Completion.
CoRR
Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji
2022 J jnl
Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search.
CoRR
Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang
2022 A* conf
Towards Fine-Grained Reasoning for Fake News Detection.
AAAI
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2022 J jnl
Unit Selection: Learning Benefit Function from Finite Population Data.
CoRR
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
2022 A* conf
Unsupervised Adversarially Robust Representation Learning on Graphs.
AAAI
Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun
2021 A* conf
Bi-Level Attention Graph Neural Networks.
ICDM
Roshni G. Iyer, Wei Wang, Yizhou Sun
2021 J jnl
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases.
CoRR
Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang
2021 A* conf
CREATe: Clinical Report Extraction and Annotation Technology.
ICDE
Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021 J jnl
CREATe: Clinical Report Extraction and Annotation Technology.
CoRR
Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021 J jnl
Clinical Named Entity Recognition using Contextualized Token Representations.
CoRR
Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang
2021 A* conf
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.
AAAI
Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021 A* conf
Coupled Graph ODE for Learning Interacting System Dynamics.
KDD
Zijie Huang, Yizhou Sun, Wei Wang
2021 J jnl
Deep Learning of Potential Outcomes.
CoRR
Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster
2021 J jnl
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks.
CoRR
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
2021 J jnl
Fuzzy Logic based Logical Query Answering on Knowledge Graph.
CoRR
Xuelu Chen, Ziniu Hu, Yizhou Sun
2021 A* conf
GLSearch: Maximum Common Subgraph Detection via Learning to Search.
ICML
Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang
2021 J jnl
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation.
CoRR
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
2021 A* conf
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding.
WWW
Song Jiang, Bernard Koch, Yizhou Sun
2021 — ed.
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence - 5th China Conference, CCKS 2020, Nanchang, China, November 12-15, 2020, Revised Selected Papers
CCKS
Huajun Chen, Kang Liu, Yizhou Sun, Suge Wang, Lei Hou
2021 A* conf
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks.
ICDE
Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis
2021 A* conf
MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks.
KDD
Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Özcan, Yizhou Sun, Wei Wang
2021 J jnl
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks.
IEEE Trans. Knowl. Data Eng.
Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang
2021 — conf
Relation-Guided Pre-Training for Open-Domain Question Answering.
EMNLP (Findings)
Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2021 J jnl
Relation-Guided Pre-Training for Open-Domain Question Answering.
CoRR
Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2021 J jnl
Towards Fine-Grained Reasoning for Fake News Detection.
CoRR
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2021 — conf
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.
EMNLP (1)
Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun
2021 J jnl
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
CoRR
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
2020 J jnl
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction.
CoRR
Yunsheng Bai, Ken Gu, Yizhou Sun, Wei Wang
2020 — conf
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases.
BCB
Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang
2020 J jnl
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.
CoRR
Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2020 A* conf
Differentiable Product Quantization for End-to-End Embedding Compression.
ICML
Ting Chen, Lala Li, Yizhou Sun
2020 A* conf
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.
ICDM
Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang
2020 J jnl
Fast Detection of Maximum Common Subgraph via Deep Q-Learning.
CoRR
Yunsheng Bai, Derek Xu, Alex Wang, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, Wei Wang
2020 J jnl
Finding key players in complex networks through deep reinforcement learning.
Nat. Mach. Intell.
Changjun Fan, Li Zeng, Yizhou Sun, Yang-Yu Liu
2020 A* conf
GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases.
KDD
Zongyue Qin, Yunsheng Bai, Yizhou Sun
2020 A* conf
GPT-GNN: Generative Pre-Training of Graph Neural Networks.
KDD
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun
2020 J jnl
GPT-GNN: Generative Pre-Training of Graph Neural Networks.
CoRR
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun
2020 — conf
Graph Neural Networks for Graph Search.
GRADES-NDA@SIGMOD
Yizhou Sun
2020 A* conf
Heterogeneous Graph Transformer.
WWW
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
2020 J jnl
Heterogeneous Graph Transformer.
CoRR
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
2020 A* conf
Heterogeneous Network Representation Learning.
IJCAI
Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang
2020 J jnl
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2020 J jnl
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.
CoRR
Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang
2020 A* conf
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations.
NeurIPS
Zijie Huang, Yizhou Sun, Wei Wang
2020 J jnl
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations.
CoRR
Zijie Huang, Yizhou Sun, Wei Wang
2020 A* conf
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching.
AAAI
Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang
2020 J jnl
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks.
CoRR
Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis
2020 J jnl
Motif-Driven Contrastive Learning of Graph Representations.
CoRR
Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun
2020 — conf
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer.
EMNLP (Findings)
Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo
2020 J jnl
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer.
CoRR
Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo
2020 J jnl
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling.
CoRR
Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang
2020 J jnl
Network Embedding for Community Detection in Attributed Networks.
ACM Trans. Knowl. Discov. Data
Heli Sun, Fang He, Jianbin Huang, Yizhou Sun, Yang Li, Chenyu Wang, Liang He, Zhongbin Sun, Xiaolin Jia
2020 A conf
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation.
CIKM
Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang
2020 J jnl
Query-free Black-box Adversarial Attacks on Graphs.
CoRR
Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu
2020 J jnl
Software Language Comprehension using a Program-Derived Semantic Graph.
CoRR
Roshni G. Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich
2020 A* conf
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding.
KDD
Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
2020 J jnl
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding.
CoRR
Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
2020 J jnl
Unsupervised Adversarially-Robust Representation Learning on Graphs.
CoRR
Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu
2019 J jnl
Abstract cost models for distributed data-intensive computations.
Distributed Parallel Databases
Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao
2019 J jnl
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification.
CoRR
Ting Chen, Song Bian, Yizhou Sun
2019 J jnl
Differentiable Product Quantization for End-to-End Embedding Compression.
CoRR
Ting Chen, Yizhou Sun
2019 A* conf
Embedding Uncertain Knowledge Graphs.
AAAI
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
2019 — conf
Few-Shot Representation Learning for Out-Of-Vocabulary Words.
ACL (1)
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019 J jnl
Few-Shot Representation Learning for Out-Of-Vocabulary Words.
CoRR
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019 B conf
How do influencers mention brands in social media?: sponsorship prediction of Instagram posts.
ASONAM
Xiao Yang, Seungbae Kim, Yizhou Sun
2019 A* conf
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.
NeurIPS
Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu
2019 J jnl
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.
CoRR
Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu
2019 J jnl
Learning Fair Representations via an Adversarial Framework.
CoRR
Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang
2019 A conf
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.
CIKM
Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu
2019 J jnl
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.
CoRR
Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu
2019 A* conf
Personalized Question Routing via Heterogeneous Network Embedding.
AAAI
Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang
2019 J jnl
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.
CoRR
Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019 J jnl
Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data
Yu Zhou, Jianbin Huang, Heli Sun, Yizhou Sun, Shaojie Qiao, Stephen Manko Wambura
2019 A conf
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation.
WSDM
Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2019 A conf
Understanding Default Behavior in Online Lending.
CIKM
Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu
2019 A* conf
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
KDD
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
2019 A* conf
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity.
IJCAI
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2019 J jnl
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity.
CoRR
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2019 B ed.
Web Information Systems Engineering - WISE 2019 - 20th International Conference, Hong Kong, China, November 26-30, 2019, Proceedings
WISE
Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang
2018 J jnl
Convolutional Neural Networks for Fast Approximation of Graph Edit Distance.
CoRR
Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
2018 J jnl
Convolutional Set Matching for Graph Similarity.
CoRR
Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
2018 J jnl
Embedding Uncertain Knowledge Graphs.
CoRR
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
2018 J jnl
Graph Edit Distance Computation via Graph Neural Networks.
CoRR
Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2018 A conf
HeteroMed: Heterogeneous Information Network for Medical Diagnosis.
CIKM
Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh
2018 J jnl
HeteroMed: Heterogeneous Information Network for Medical Diagnosis.
CoRR
Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh
2018 A conf
HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining.
WSDM
Shobeir Fakhraei, Yanen Li, Yizhou Sun, Tim Weninger
2018 A* conf
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations.
ICML
Ting Chen, Martin Renqiang Min, Yizhou Sun
2018 J jnl
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations.
CoRR
Ting Chen, Martin Renqiang Min, Yizhou Sun
2018 J jnl
Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games.
CoRR
Zhengxing Chen, Yuyu Xu, Truong-Huy D. Nguyen, Yizhou Sun, Magy Seif El-Nasr
2018 J jnl
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level.
CoRR
Xi Chen, Jie Tang, Yizhou Sun
2018 — conf
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games.
CIG
Zhengxing Chen, Christopher Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2018 J jnl
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games.
CoRR
Zhengxing Chen, Chris Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2018 A* conf
RaRE: Social Rank Regulated Large-scale Network Embedding.
WWW
Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang
2018 — ch.
Ranking Methods for Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Yizhou Sun, Jiawei Han
2018 J jnl
The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games.
CoRR
Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2018 A conf
The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games.
RecSys
Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2017 B conf
A Case for Abstract Cost Models for Distributed Execution of Analytics Operators.
DaWaK
Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao
2017 J jnl
A Survey of Heterogeneous Information Network Analysis.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2017 J jnl
DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks.
CoRR
Yu Zhou, Jianbin Huang, Heli Sun, Yizhou Sun, Hong Chong
2017 A conf
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
CIKM
Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han
2017 A* conf
EOMM: An Engagement Optimized Matchmaking Framework.
WWW
Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr
2017 J jnl
EOMM: An Engagement Optimized Matchmaking Framework.
CoRR
Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr
2017 — conf
Ideology Detection for Twitter Users via Link Analysis.
SBP-BRiMS
Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang
2017 J jnl
Joint Text Embedding for Personalized Content-based Recommendation.
CoRR
Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun
2017 J jnl
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations.
CoRR
Ting Chen, Martin Renqiang Min, Yizhou Sun
2017 A* conf
On Sampling Strategies for Neural Network-based Collaborative Filtering.
KDD
Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017 J jnl
On Sampling Strategies for Neural Network-based Collaborative Filtering.
CoRR
Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017 J jnl
Player Skill Decomposition in Multiplayer Online Battle Arenas.
CoRR
Zhengxing Chen, Yizhou Sun, Magy Seif El-Nasr, Truong-Huy D. Nguyen
2017 — conf
Recommendation in Context-Rich Environment: An Information Network Analysis Approach.
WWW (Companion Volume)
Yizhou Sun, Hongzhi Yin, Xiang Ren
2017 J jnl
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol.
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2017 A* conf
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks.
IJCAI
He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun
2017 A conf
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification.
WSDM
Ting Chen, Yizhou Sun
2017 A* conf
The Co-Evolution Model for Social Network Evolving and Opinion Migration.
KDD
Yupeng Gu, Yizhou Sun, Jianxi Gao
2017 — conf
User Stance Prediction via Online Behavior Mining.
WWW (Companion Volume)
Yizhou Sun
2017 A conf
Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction.
CIKM
Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong
2016 A conf
Cross Social Media Recommendation.
ICWSM
Xiaozhong Liu, Tian Xia, Yingying Yu, Chun Guo, Yizhou Sun
2016 J jnl
Design of reciprocal recommendation systems for online dating.
Soc. Netw. Anal. Min.
Peng Xia, Shuangfei Zhai, Benyuan Liu, Yizhou Sun, Cindy X. Chen
2016 A* conf
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events.
IJCAI
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016 J jnl
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events.
CoRR
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016 J jnl
Ideology Detection for Twitter Users with Heterogeneous Types of Links.
CoRR
Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang
2016 A conf
Integrating Community and Role Detection in Information Networks.
SDM
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang
2016 A* conf
Learning Global Term Weights for Content-based Recommender Systems.
WWW
Yupeng Gu, Bo Zhao, David Hardtke, Yizhou Sun
2016 A* conf
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks.
KDD
Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li
2016 J jnl
Predicting drug target interactions using meta-path-based semantic network analysis.
BMC Bioinform.
Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun, Evan Bolton
2016 A conf
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
SDM
Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang
2016 J jnl
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification.
CoRR
Ting Chen, Yizhou Sun
2016 — conf
Toward Representation Independent Analytics over Structured Data.
ICDM Workshops
Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun
2016 A conf
Towards Representation Independent Similarity Search Over Graph Databases.
CIKM
Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun
2016 A conf
WSDM Cup 2016: Entity Ranking Challenge.
WSDM
Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli
2015 J jnl
A Survey of Heterogeneous Information Network Analysis.
CoRR
Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 — conf
Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook.
SBP
Susan Collins, Yizhou Sun, Michal Kosinski, David Stillwell, Natasha Markuzon
2015 A conf
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model.
SDM
Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy
2015 — conf
Context-aware Entity Morph Decoding.
ACL (1)
Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener
2015 A* conf
Entity Matching across Heterogeneous Sources.
KDD
Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li
2015 A* conf
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
KDD
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2015 J jnl
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
CoRR
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2015 A* conf
RAIN: Social Role-Aware Information Diffusion.
AAAI
Yang Yang, Jie Tang, Cane Wing-Ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang
2015 B conf
Reciprocal Recommendation System for Online Dating.
ASONAM
Peng Xia, Benyuan Liu, Yizhou Sun, Cindy X. Chen
2015 J jnl
Reciprocal Recommendation System for Online Dating.
CoRR
Peng Xia, Benyuan Liu, Yizhou Sun, Cindy X. Chen
2015 J jnl
Representation Independent Proximity and Similarity Search.
CoRR
Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun
2015 — conf
Successful Data Mining Methods for NLP.
ACL (Tutorial Abstracts)
Jiawei Han, Heng Ji, Yizhou Sun
2015 J jnl
Universal-DB: Towards Representation Independent Graph Analytics.
Proc. VLDB Endow.
Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun
2015 — ed.
Web-Age Information Management - 16th International Conference, WAIM 2015, Qingdao, China, June 8-10, 2015. Proceedings
WAIM
Jian Li, Yizhou Sun
2014 — conf
Be Appropriate and Funny: Automatic Entity Morph Encoding.
ACL (2)
Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener
2014 J jnl
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks.
IEEE Trans. Knowl. Data Eng.
Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta
2014 — conf
Full-text based context-rich heterogeneous network mining approach for citation recommendation.
JCDL
Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun, Liangcai Gao
2014 J jnl
LCARS: A Spatial Item Recommender System.
ACM Trans. Inf. Syst.
Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen
2014 A conf
Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation.
CIKM
Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun
2014 A conf
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks.
CIKM
Huan Gui, Yizhou Sun, Jiawei Han, George Brova
2014 — conf
NewsNetExplorer: automatic construction and exploration of news information networks.
SIGMOD Conference
Fangbo Tao, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun
2014 — conf
Open educational resource based information understanding via pdf document interaction.
WebSci
Xiaozhong Liu, Liangcai Gao, Noriko Hara, Yizhou Sun
2014 A conf
Personalized entity recommendation: a heterogeneous information network approach.
WSDM
Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han
2014 — ch.
Probabilistic Models for Classification.
Data Classification: Algorithms and Applications
Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han
2014 — ch.
Ranking Methods for Networks.
Encyclopedia of Social Network Analysis and Mining
Yizhou Sun, Jiawei Han
2014 J jnl
Representation Independent Analytics Over Structured Data.
CoRR
Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun
2014 A* conf
Topic-factorized ideal point estimation model for legislative voting network.
KDD
Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen
2014 — conf
Toward General Similarity Search Over Graphs.
GRADES
Yodsawalai Chodpathumwan, Arash Termehchy, Yizhou Sun, Amirhossein Aleyasen, Jose Picado
2013 J jnl
A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models.
IEEE Trans. Knowl. Data Eng.
Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han
2013 A* conf
LCARS: a location-content-aware recommender system.
KDD
Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen
2013 J jnl
PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu
2013 — ch.
Perspective on Measurement Metrics for Community Detection Algorithms.
Mining Social Networks and Security Informatics
Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han
2013 A conf
Recommendation in heterogeneous information networks with implicit user feedback.
RecSys
Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han
2013 — conf
Research-insight: providing insight on research by publication network analysis.
SIGMOD Conference
Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger
2013 — conf
Resolving Entity Morphs in Censored Data.
ACL (1)
Hongzhao Huang, Zhen Wen, Dian Yu, Heng Ji, Yizhou Sun, Jiawei Han, He Li
2013 A* conf
Semantic Frame-Based Document Representation for Comparable Corpora.
ICDM
Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han
2012 — conf
Community Trend Outlier Detection Using Soft Temporal Pattern Mining.
ECML/PKDD (2)
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
2012 A* conf
ETM: Entity Topic Models for Mining Documents Associated with Entities.
ICDM
Hyungsul Kim, Yizhou Sun, Julia Hockenmaier, Jiawei Han
2012 A* conf
Integrating community matching and outlier detection for mining evolutionary community outliers.
KDD
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
2012 A* conf
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks.
KDD
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu
2012 — book
Mining Heterogeneous Information Networks: Principles and Methodologies
Mining Heterogeneous Information Networks
Yizhou Sun, Jiawei Han
2012 A* conf
Mining Knowledge from Data: An Information Network Analysis Approach.
ICDE
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2012 J jnl
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach.
Proc. VLDB Endow.
Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu
2012 — —
Mining heterogeneous information networks
Yizhou Sun
2012 J jnl
Mining heterogeneous information networks: a structural analysis approach.
SIGKDD Explor.
Yizhou Sun, Jiawei Han
2012 A* conf
Multidimensional Analysis of Atypical Events in Cyber-Physical Data.
ICDE
Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Hector Gonzalez, Sebastian Seith
2012 J jnl
Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach.
Int. J. Distributed Sens. Networks
Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Alice Leung, Thomas La Porta
2012 A* conf
Predicting Links in Multi-relational and Heterogeneous Networks.
ICDM
Yang Yang, Nitesh V. Chawla, Yizhou Sun, Jiawei Han
2012 — ch.
Probabilistic Models for Text Mining.
Mining Text Data
Yizhou Sun, Hongbo Deng, Jiawei Han
2012 A* conf
Query-driven discovery of semantically similar substructures in heterogeneous networks.
KDD
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
2012 J jnl
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes
CoRR
Yizhou Sun, Charu C. Aggarwal, Jiawei Han
2012 J jnl
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes.
Proc. VLDB Endow.
Yizhou Sun, Charu C. Aggarwal, Jiawei Han
2012 — conf
Robustness Test of Genetic Algorithm on Generating Rules for Currency Trading.
INNS-WC
Shangkun Deng, Yizhou Sun, Akito Sakurai
2012 A conf
User guided entity similarity search using meta-path selection in heterogeneous information networks.
CIKM
Xiao Yu, Yizhou Sun, Brandon Norick, Tiancheng Mao, Jiawei Han
2012 A conf
When will it happen?: relationship prediction in heterogeneous information networks.
WSDM
Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla
2011 — conf
Apollo: Towards factfinding in participatory sensing.
IPSN
Hieu Khac Le, Jeff Pasternack, Hossein Ahmadi, Manish Gupta, Yizhou Sun, Tarek F. Abdelzaher, Jiawei Han, Dan Roth, Boleslaw K. Szymanski, Sibel Adali
2011 B conf
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks.
ASONAM
Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han
2011 B conf
Evolutionary Clustering and Analysis of Bibliographic Networks.
ASONAM
Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun
2011 B conf
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks.
ASONAM
Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han
2011 J jnl
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
Proc. VLDB Endow.
Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu
2011 — conf
Trust analysis with clustering.
WWW (Companion Volume)
Manish Gupta, Yizhou Sun, Jiawei Han
2011 — conf
WINACS: construction and analysis of web-based computer science information networks.
SIGMOD Conference
Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua M. Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu
2010 — conf
Community evolution detection in dynamic heterogeneous information networks.
MLG@KDD
Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, Bo Zhao
2010 B conf
Fast computation of SimRank for static and dynamic information networks.
EDBT
Cuiping Li, Jiawei Han, Guoming He, Xin Jin, Yizhou Sun, Yintao Yu, Tianyi Wu
2010 — conf
Graph Regularized Transductive Classification on Heterogeneous Information Networks.
ECML/PKDD (1)
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao
2010 — ch.
Integrating Clustering with Ranking in Heterogeneous Information Networks Analysis.
Link Mining
Yizhou Sun, Jiawei Han
2010 — conf
Mining knowledge from databases: an information network analysis approach.
SIGMOD Conference
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2010 A* conf
On community outliers and their efficient detection in information networks.
KDD
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han
2010 B conf
Region-based online promotion analysis.
EDBT
Tianyi Wu, Yizhou Sun, Cuiping Li, Jiawei Han
2010 A conf
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks.
CIKM
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu
2009 — conf
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models.
NIPS
Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han
2009 A* conf
Heterogeneous source consensus learning via decision propagation and negotiation.
KDD
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
2009 A conf
P-Rank: a comprehensive structural similarity measure over information networks.
CIKM
Peixiang Zhao, Jiawei Han, Yizhou Sun
2009 B conf
RankClus: integrating clustering with ranking for heterogeneous information network analysis.
EDBT
Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu
2009 A* conf
Ranking-based clustering of heterogeneous information networks with star network schema.
KDD
Yizhou Sun, Yintao Yu, Jiawei Han
2009 J jnl
iNextCube: Information Network-Enhanced Text Cube.
Proc. VLDB Endow.
Yintao Yu, Cindy Xide Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang, Bo Zhao
2009 A* conf
iTopicModel: Information Network-Integrated Topic Modeling.
ICDM
Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu
2008 — conf
BibNetMiner: mining bibliographic information networks.
SIGMOD Conference
Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao
2008 — conf
Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network.
ISNN (2)
Shan He, Cheng Hu, Guojie Song, Kunqing Xie, Yizhou Sun
2008 — conf
Sampling cube: a framework for statistical olap over sampling data.
SIGMOD Conference
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Yizhou Sun
2007 A* conf
Causal relation of queries from temporal logs.
WWW
Yizhou Sun, Kunqing Xie, Ning Liu, Shuicheng Yan, Benyu Zhang, Zheng Chen