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ORCIDChi Wang 0001
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- Chi Wang — disambiguation page
- Chi Wang 0002 — J. Walter Thompson, New Media Department, Detroit, MI, USA (and 2 more)
- Chi Wang 0003
![[0000-0001-8984-4995]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8984-4995")
— University of Kentucky, Markey Cancer Center, Lexington, KY, USA (and 1 more)
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2020 – today
- 2024
[j9]Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri:
Wii: Dynamic Budget Reallocation In Index Tuning. Proc. ACM Manag. Data 2(3): 182 (2024)- [j8]Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang:
Universal Graph Compression: Stochastic Block Models. IEEE Trans. Inf. Theory 70(2): 1473-1497 (2024) - [c74]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. ICLR 2024 - [c73]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Offline Training of Language Model Agents with Functions as Learnable Weights. ICML 2024 - [i36]Negar Arabzadeh, Julia Kiseleva, Qingyun Wu, Chi Wang, Ahmed Awadallah, Victor Dibia, Adam Fourney, Charles L. A. Clarke:
Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications. CoRR abs/2402.09015 (2024) - [i35]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Training Language Model Agents without Modifying Language Models. CoRR abs/2402.11359 (2024) - [i34]Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu:
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR abs/2403.11322 (2024) - [i33]Wentao Wu, Chi Wang:
Budget-aware Query Tuning: An AutoML Perspective. CoRR abs/2404.00137 (2024) - [i32]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. CoRR abs/2404.14618 (2024) - [i31]Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Awadallah, Charles L. A. Clarke, Julia Kiseleva:
Assessing and Verifying Task Utility in LLM-Powered Applications. CoRR abs/2405.02178 (2024) - [i30]Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang:
Adaptive In-conversation Team Building for Language Model Agents. CoRR abs/2405.19425 (2024) - [i29]Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi:
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems. CoRR abs/2408.15247 (2024) - 2023
- [j7]Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang:
Towards Lightweight and Automated Representation Learning System for Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9613-9627 (2023) - [c72]Chi Wang, Xueqing Liu, Ahmed Hassan Awadallah:
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference. AutoML 2023: 21/1-17 - [c71]Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu:
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. ICLR 2023 - [i28]Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang:
Towards Lightweight and Automated Representation Learning System for Networks. CoRR abs/2302.07084 (2023) - [i27]Chi Wang, Susan Xueqing Liu, Ahmed Hassan Awadallah:
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference. CoRR abs/2303.04673 (2023) - [i26]Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang:
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. CoRR abs/2305.18421 (2023) - [i25]Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang:
An Empirical Study on Challenging Math Problem Solving with GPT-4. CoRR abs/2306.01337 (2023) - [i24]Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR abs/2308.08155 (2023) - [i23]Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, Chi Wang:
EcoAssistant: Using LLM Assistant More Affordably and Accurately. CoRR abs/2310.03046 (2023) - 2022
- [c70]Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla:
Automated Machine Learning & Tuning with FLAML. KDD 2022: 4828-4829 - [c69]Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri:
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. SIGMOD Conference 2022: 660-673 - [c68]Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek R. Narasayya, Surajit Chaudhuri, Philip A. Bernstein:
Budget-aware Index Tuning with Reinforcement Learning. SIGMOD Conference 2022: 1528-1541 - [i22]Moe Kayali, Chi Wang:
Mining Robust Default Configurations for Resource-constrained AutoML. CoRR abs/2202.09927 (2022) - [i21]Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang:
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization. CoRR abs/2208.02922 (2022) - 2021
- [c67]Qingyun Wu, Chi Wang, Silu Huang:
Frugal Optimization for Cost-related Hyperparameters. AAAI 2021: 10347-10354 - [c66]Xueqing Liu, Chi Wang:
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models. ACL/IJCNLP (1) 2021: 2286-2300 - [c65]Chi Wang, Qingyun Wu, Silu Huang, Amin Saied:
Economic Hyperparameter Optimization with Blended Search Strategy. ICLR 2021 - [c64]Minjia Zhang, Menghao Li, Chi Wang, Mingqin Li:
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation. ICLR 2021 - [c63]Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi:
ChaCha for Online AutoML. ICML 2021: 11263-11273 - [c62]Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang:
Universal Graph Compression: Stochastic Block Models. ISIT 2021: 3038-3043 - [c61]Chi Wang, Qingyun Wu, Markus Weimer, Erkang Zhu:
FLAML: A Fast and Lightweight AutoML Library. MLSys 2021 - [c60]Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska:
Instance-Optimized Data Layouts for Cloud Analytics Workloads. SIGMOD Conference 2021: 418-431 - [c59]Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang:
LightNE: A Lightweight Graph Processing System for Network Embedding. SIGMOD Conference 2021: 2281-2289 - [i20]Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi:
ChaCha for Online AutoML. CoRR abs/2106.04815 (2021) - [i19]Xueqing Liu, Chi Wang:
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models. CoRR abs/2106.09204 (2021) - [i18]Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula:
Q-error Bounds of Random Uniform Sampling for Cardinality Estimation. CoRR abs/2108.02715 (2021) - [i17]Qingyun Wu, Chi Wang:
Fair AutoML. CoRR abs/2111.06495 (2021) - [i16]Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska:
Bounding the Last Mile: Efficient Learned String Indexing. CoRR abs/2111.14905 (2021) - 2020
- [j6]Anshuman Dutt, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri:
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models. Proc. VLDB Endow. 13(11): 2215-2228 (2020) - [c58]Ruochen Jiang, Changbo Qu, Jiannan Wang, Chi Wang, Yudian Zheng:
Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach. ICDE 2020: 1810-1813 - [c57]Matthew Fahrbach, Gramoz Goranci, Richard Peng, Sushant Sachdeva, Chi Wang:
Faster Graph Embeddings via Coarsening. ICML 2020: 2953-2963 - [c56]Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li:
AdaTune: Adaptive Tensor Program Compilation Made Efficient. NeurIPS 2020 - [c55]Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang:
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices. NeurIPS 2020 - [c54]Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya:
Qd-tree: Learning Data Layouts for Big Data Analytics. SIGMOD Conference 2020: 193-208 - [c53]Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet, Tim Kraska:
ALEX: An Updatable Adaptive Learned Index. SIGMOD Conference 2020: 969-984 - [c52]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW 2020: 486-497 - [i15]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR abs/2001.09522 (2020) - [i14]Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya:
Qd-tree: Learning Data Layouts for Big Data Analytics. CoRR abs/2004.10898 (2020) - [i13]Qingyun Wu, Chi Wang, Silu Huang:
Cost Effective Optimization for Cost-related Hyperparameters. CoRR abs/2005.01571 (2020) - [i12]Alankrita Bhatt, Chi Wang, Lele Wang, Ziao Wang:
Universal Graph Compression: Stochastic Block Models. CoRR abs/2006.02643 (2020) - [i11]Matthew Fahrbach, Gramoz Goranci, Richard Peng, Sushant Sachdeva, Chi Wang:
Faster Graph Embeddings via Coarsening. CoRR abs/2007.02817 (2020) - [i10]Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang:
Concentration Bounds for Co-occurrence Matrices of Markov Chains. CoRR abs/2008.02464 (2020) - [i9]Tianyu Liu, Chi Wang:
Understanding the hardness of approximate query processing with joins. CoRR abs/2010.00307 (2020)
2010 – 2019
- 2019
- [j5]Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek R. Narasayya, Surajit Chaudhuri:
Selectivity Estimation for Range Predicates using Lightweight Models. Proc. VLDB Endow. 12(9): 1044-1057 (2019) - [c51]Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. AAAI 2019: 3862-3869 - [c50]Chi Wang, Bailu Ding:
Fast Approximation of Empirical Entropy via Subsampling. KDD 2019: 658-667 - [c49]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW 2019: 1509-1520 - [i8]Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet:
ALEX: An Updatable Adaptive Learned Index. CoRR abs/1905.08898 (2019) - [i7]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. CoRR abs/1906.11156 (2019) - [i6]Ruochen Jiang, Changbo Qu, Jiannan Wang, Chi Wang, Yudian Zheng:
Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach. CoRR abs/1910.12201 (2019) - [i5]Chi Wang, Qingyun Wu:
FLO: Fast and Lightweight Hyperparameter Optimization for AutoML. CoRR abs/1911.04706 (2019) - 2018
- [c48]Chi Wang, Kaushik Chakrabarti:
Efficient Attribute Recommendation with Probabilistic Guarantee. KDD 2018: 2387-2396 - [c47]Xueqing Liu, Chi Wang, Yue Leng, ChengXiang Zhai:
LinkSO: a dataset for learning to retrieve similar question answer pairs on software development forums. NL4SE@ESEC/SIGSOFT FSE 2018: 2-5 - [r2]Chi Wang, Jiawei Han:
Role Discovery. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i4]Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. CoRR abs/1811.03250 (2018) - 2017
- [c46]Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang:
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data. CHI 2017: 2904-2915 - [c45]Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han:
Identifying Semantically Deviating Outlier Documents. EMNLP 2017: 2748-2757 - [c44]Honglei Zhuang, Chi Wang, Yifan Wang:
Identifying Outlier Arms in Multi-Armed Bandit. NIPS 2017: 5204-5213 - [c43]Renqin Cai, Chi Wang, Hongning Wang:
Accounting for the Correspondence in Commented Data. SIGIR 2017: 365-374 - 2016
- [c42]Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang:
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. SIGMOD Conference 2016: 679-694 - [c41]Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing in Massive Text Corpora. WWW (Companion Volume) 2016: 1025-1028 - 2015
- [b2]Chi Wang, Jiawei Han:
Mining Latent Entity Structures. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00779-8 - [j4]Chi Wang, Jialu Liu, Nihit Desai, Marina Danilevsky, Jiawei Han:
Constructing topical hierarchies in heterogeneous information networks. Knowl. Inf. Syst. 44(3): 529-558 (2015) - [j3]Chi Wang, Hua Liu, Kwame-Lante Wright, Bhaskar Krishnamachari, Murali Annavaram:
A privacy mechanism for mobile-based urban traffic monitoring. Pervasive Mob. Comput. 20: 1-12 (2015) - [c40]Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang:
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. IJCAI 2015: 3882-3889 - [c39]Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han:
ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. KDD 2015: 995-1004 - [c38]Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach. KDD 2015: 1225-1234 - [c37]Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach. KDD 2015: 2319-2320 - [c36]Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han:
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. SDM 2015: 388-396 - [c35]Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han:
Mining Quality Phrases from Massive Text Corpora. SIGMOD Conference 2015: 1729-1744 - [c34]Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Philip A. Bernstein:
Concept Expansion Using Web Tables. WWW 2015: 1198-1208 - 2014
- [b1]Chi Wang:
Mining latent entity structures from massive unstructured and interconnected data. University of Illinois Urbana-Champaign, USA, 2014 - [j2]Ahmed El-Kishky, Yanglei Song, Chi Wang, Clare R. Voss, Jiawei Han:
Scalable Topical Phrase Mining from Text Corpora. Proc. VLDB Endow. 8(3): 305-316 (2014) - [c33]Dian Yu, Hongzhao Huang, Taylor Cassidy, Heng Ji, Chi Wang, Shi Zhi, Jiawei Han, Clare R. Voss, Malik Magdon-Ismail:
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding. COLING 2014: 1567-1578 - [c32]Jiawei Han, Chi Wang, Ahmed El-Kishky:
Bringing structure to text: mining phrases, entities, topics, and hierarchies. KDD 2014: 1968 - [c31]Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Scalable Moment-Based Inference for Latent Dirichlet Allocation. ECML/PKDD (3) 2014: 290-305 - [c30]Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han:
Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. SDM 2014: 398-406 - [c29]Fangbo Tao, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun:
NewsNetExplorer: automatic construction and exploration of news information networks. SIGMOD Conference 2014: 1091-1094 - [c28]Jiawei Han, Chi Wang:
Mining latent entity structures from massive unstructured and interconnected data. SIGMOD Conference 2014: 1409-1410 - [c27]Rui Li, Chi Wang, Kevin Chen-Chuan Chang:
User profiling in an ego network: co-profiling attributes and relationships. WWW 2014: 819-830 - [r1]Chi Wang, Jiawei Han:
Role Discovery. Encyclopedia of Social Network Analysis and Mining 2014: 1589-1598 - [i3]Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Scalable and Robust Construction of Topical Hierarchies. CoRR abs/1403.3460 (2014) - [i2]Ahmed El-Kishky, Yanglei Song, Chi Wang, Clare R. Voss, Jiawei Han:
Scalable Topical Phrase Mining from Text Corpora. CoRR abs/1406.6312 (2014) - 2013
- [c26]Chi Wang, Xiao Yu, Yanen Li, Chengxiang Zhai, Jiawei Han:
Content coverage maximization on word networks for hierarchical topic summarization. CIKM 2013: 249-258 - [c25]Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han:
Semantic Frame-Based Document Representation for Comparable Corpora. ICDM 2013: 350-359 - [c24]Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, Jiawei Han:
Constructing Topical Hierarchies in Heterogeneous Information Networks. ICDM 2013: 767-776 - [c23]Jialu Liu, Chi Wang, Marina Danilevsky, Jiawei Han:
Large-Scale Spectral Clustering on Graphs. IJCAI 2013: 1486-1492 - [c22]Jialu Liu, Kin Hou Lei, Jeffery Yufei Liu, Chi Wang, Jiawei Han:
Ranking-based name matching for author disambiguation in bibliographic data. KDD Cup 2013: 8:1-8:8 - [c21]Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han:
A phrase mining framework for recursive construction of a topical hierarchy. KDD 2013: 437-445 - [c20]Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan:
Mining evidences for named entity disambiguation. KDD 2013: 1070-1078 - [c19]Marina Danilevsky, Chi Wang, Fangbo Tao, Son Nguyen, Gong Chen, Nihit Desai, Lidan Wang, Jiawei Han:
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data. KDD 2013: 1458-1461 - [c18]Fangbo Tao, Kin Hou Lei, Jiawei Han, Chengxiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialu Liu, Nikunj C. Oza, Ashok N. Srivastava, Rodney Tjoelker, Chi Wang, Duo Zhang, Bo Zhao:
EventCube: multi-dimensional search and mining of structured and text data. KDD 2013: 1494-1497 - [c17]Alice Leung, William Dron, John P. Hancock, Matthew Aguirre, Jon Purnell, Jiawei Han, Chi Wang, Jaideep Srivastava, Amogh Mahapatra, Atanu Roy, Lisa Scott:
Social patterns: Community detection using behavior-generated network datasets. NSW 2013: 82-89 - [c16]Jing Gao, Jiawei Han, Jialu Liu, Chi Wang:
Multi-View Clustering via Joint Nonnegative Matrix Factorization. SDM 2013: 252-260 - [c15]Yuguo Chen, Jiawei Han, Ming Ji, Jialu Liu, Lu Su, Chi Wang, Hongning Wang:
On the Detectability of Node Grouping in Networks. SDM 2013: 713-721 - [c14]Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger:
Research-insight: providing insight on research by publication network analysis. SIGMOD Conference 2013: 1093-1096 - [i1]Marina Danilevsky, Chi Wang, Nihit Desai, Jingyi Guo, Jiawei Han:
KERT: Automatic Extraction and Ranking of Topical Keyphrases from Content-Representative Document Titles. CoRR abs/1306.0271 (2013) - 2012
- [j1]Chi Wang, Wei Chen, Yajun Wang:
Scalable influence maximization for independent cascade model in large-scale social networks. Data Min. Knowl. Discov. 25(3): 545-576 (2012) - [c13]Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin, Heng Ji:
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links. SDM 2012: 516-527 - [c12]Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri:
Targeted disambiguation of ad-hoc, homogeneous sets of named entities. WWW 2012: 719-728 - 2011
- [c11]Chi Wang, Jie Tang, Jimeng Sun, Jiawei Han:
Dynamic Social Influence Analysis through Time-Dependent Factor Graphs. ASONAM 2011: 239-246 - [c10]Xin Jin, Chi Wang, Jiebo Luo, Xiao Yu, Jiawei Han:
LikeMiner: a system for mining the power of 'like' in social media networks. KDD 2011: 753-756 - [c9]Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei Han:
Learning online discussion structures by conditional random fields. SIGIR 2011: 435-444 - [c8]Chi Wang, Rajat Raina, David Fong, Ding Zhou, Jiawei Han, Greg J. Badros:
Learning relevance from heterogeneous social network and its application in online targeting. SIGIR 2011: 655-664 - [c7]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:
WINACS: construction and analysis of web-based computer science information networks. SIGMOD Conference 2011: 1255-1258 - 2010
- [c6]Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, Jingyi Guo:
Mining advisor-advisee relationships from research publication networks. KDD 2010: 203-212 - [c5]Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han:
On community outliers and their efficient detection in information networks. KDD 2010: 813-822 - [c4]