SIGMOD 2014: Accepted Research Papers
-
AutoPlait: Automatic Mining of Co-evolving Time Sequences
Yasuko Matsubara, Kumamoto University; Yasushi Sakurai, Kumamoto
University; Christos Faloutsos, Carnegie Mellon University
-
Resource-Oriented Approximation for Frequent Itemset Mining from Bursty Data Streams
Yoshitaka Yamamoto, University of Yamanashi; Koji Iwanuma, University of Yamanashi; Shoshi Fukuda, University of Yamanashi
-
On Complexity and Optimization of Expensive Queries in Complex Event Processing
Haopeng Zhang, UMass Amherst; Yanlei Diao, UMass Amherst; Neil Immerman, UMass Amherst
-
Complex Event Analytics: Online Aggregation of Stream Sequence Patterns
Yingmei Qi, Google Inc; Lei Cao, Worcester Polytechnic Institute; Medhabi Ray, Worcester Polytechnic Institute; Elke Rundensteiner, Worcester Polytechnic Institute
-
Explainable Security for Relational Databases
Gabriel Bender, Cornell University; Lucja Kot, Cornell University; Johannes Gehrke, Cornell University
-
PrivBayes: Private Data Release via Bayesian Networks
Jun Zhang, Nanyang Technological University; Graham Cormode, University of Warwick; Cecilia Procopiuc, AT&T Labs Research; Divesh Srivastava, AT&T Labs Research; Xiaokui Xiao, Nanyang Technological University
-
PriView: Practical Differentially Private Release of Marginal Contingency Tables
Wahbeh Qardaji, Purdue University; Weining Yang, Purdue University; Ninghui Li, Purdue University
-
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies
Xi He, Duke University; Ashwin Machanavajjhala, Duke University; Bolin Ding, Microsoft Research
-
PLANET: Making Progress with Commit Processing in Unpredictable Environments
Gene Pang, UC Berkeley; Tim Kraska, Brown University; Michael Franklin, UC Berkeley; Alan Fekete, University of Sydney
-
Lazy Evaluation of Transactions in Database Systems
Jose Faleiro, Yale University; Alexander Thomson, Google Inc; Daniel Abadi, Yale University
-
Scalable Atomic Visibility with RAMP Transactions
Peter Bailis, UC Berkeley; Alan Fekete, University of Sydney; Joseph Hellerstein, UC Berkeley; Ali Ghodsi, UC Berkeley; Ion Stoica, UC Berkeley
-
JECB: a Join-Extension, Code-Based Approach to OLTP Data Partitioning
Khai Tran, University of Wisconsin Madison; Jeffrey Naughton, University of Wisconsin Madison; Bruhathi Sundarmurthy, University of Wisconsin Madison; Dimitris Tsirogiannis, University of Wisconsin Madison
-
Parallel Data Analysis Directly on Scientific File Formats
Spyros Blanas, Ohio State University; John Wu, Lawrence Berkeley National Lab; Suren Byna, Lawrence Berkeley National Lab; Bin Dong, Lawrence Berkeley National Lab; Arie Shoshani, Lawrence Berkeley National Lab
-
The PH-Tree - A Space-Efficient Storage Structure and Multi-Dimensional Index
Tilmann Zaschke, ETH Zurich; Christoph Zimmerli, ETH Zurich; Moira Norrie, ETH Zurich
-
Incremental Elasticity For Array Databases
Jennie Duggan, MIT; Michael Stonebraker, MIT
-
Efficient Summarization Framework for Multi-Attribute Uncertain Data
Jie Xu, UC Irvine; Dmitri V. Kalashnikov, UC Irvine; Sharad Mehrotra, UC Irvine
-
Towards Indexing Functions: Answering Scalar Product Queries
Arijit Khan, ETH Zurich; Pouya Yanki, ETH Zurich; Bojana Dimcheva, ETH Zurich; Donald Kossmann, ETH Zurich
-
LINVIEW: Incremental View Maintenance for Complex Analytical Queries
Milos Nikolic, EPFL; Mohammed ElSeidy, EPFL; Christoph Koch, EPFL
-
Materialization Optimizations for Feature Selection Workloads
Ce Zhang, University of Wisconsin Madison; Arun Kumar, University of Wisconsin Madison; Christopher Re, Stanford University
-
The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing
Kai Zeng, UCLA; Shi Gao, UCLA; Barzan Mozafari, University of Michigan; Carlo Zaniolo, UCLA
-
Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Microsoft Research; Jonathan Goldstein, Microsoft Research
-
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age
Viktor Leis, TU Munchen; Peter Boncz, CWI; Alfons Kemper, TU Munchen; Thomas Neumann, TU Munchen
-
A Comprehensive Study of Main-Memory Partitioning and its Application to Large-Scale Comparison and Radix-Sort
Orestis Polychroniou, Columbia University; Kenneth Ross, Columbia University
-
An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives
Oliver Arnold, TU Dresden; Sebastian Haas, TU Dresden; Gerhard Fettweis, TU Dresden; Benjamin Schlegel, TU Dresden; Thomas Kissinger, TU Dresden; Wolfgang Lehner, TU Dresden
-
Scalable Big Graph Processing in MapReduce
Lu Qin, University of Technology Sydney; Jeffrey Yu, Chinese University of Hong Kong; Lijun Chang, University of New South Wales; Hong Cheng, Chinese University of Hong Kong; Chengqi Zhang, University of Technology Sydney; Xuemin Lin, University of New South Wales
-
Anti-Combining for MapReduce
Alper Okcan, Northeastern University; Mirek Riedewald, Northeastern University
-
Opportunistic Physical Design for Big Data Analytics
Jeff LeFevre, UC Santa Cruz; Jagan Sankaranarayanan, NEC Labs America; Hakan Hacigumus, NEC Labs America; Junichi Tatemura, NEC Labs America; Neoklis Polyzotis, UC Santa Cruz; Michael Carey, UC Irvine
-
Stratified-Sampling over Social Networks Using MapReduce
Roy Levin, IBM Haifa Research Lab; Yaron Kanza, Jacobs Technion-Cornell Innovation Institute, Cornell Tech
-
Characterizing and Selecting Fresh Data Sources
Theodoros Rekatsinas, University of Maryland; Xin Dong, Google Inc; Divesh Srivastava, AT&T Labs Research
-
Sloth: Being Lazy is a Virtue (When Issuing Database Queries)
Alvin Cheung, MIT; Sam Madden, MIT; Armando Solar-Lezama, MIT
-
Dynamically Optimizing Queries for Large Scale Data Platforms
Konstantinos Karanasos, IBM Almaden Research Center; Andrey Balmin, GraphSQL; Marcel Kutsch, Apple Inc.; Fatma Ozcan, IBM Almaden Research Center; Vuk Ercegovac, Google, Inc.; Chunyang Xia, IBM; Jesse Jackson, IBM
-
A Software-Defined Networking based Approach for Performance Management of Analytical Queries on Distributed Data Stores
Pengcheng Xiong, NEC Labs America; Hakan Hacigumus, NEC Labs America; Jeffrey Naughton, University of Wisconsin Madison
-
Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market
Ziyang Liu, NEC Labs America; Hakan Hacigumus, NEC Labs America
-
A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms
Zhuhua Cai, Rice University; Zekai Gao, Rice University; Shangyu Luo, Rice University; Luis Perez, Rice University; Zografoula Vagena, LogicBlox Inc; Christopher Jermaine, Rice University
-
Re-evaluating Designs for Multi-Tenant OLTP Workloads on SSD-based I/O Subsystems
Ning Zhang, Rocket Fuel Inc.; Junichi Tatemura, NEC Labs America; Jignesh Patel, University of Wisconsin Madison; Hakan Hacigumus, NEC Labs America
-
Secure Query Processing with Data Interoperability in a Cloud Database Environment
Wai Kit Wong, Hang Seng Management College; Ben Kao, University of Hong Kong; David Wai Lok Cheung, University of Hong Kong; Rongbin Li, University of Hong Kong; Siu Ming Yiu, University of Hong Kong
-
HYDRA: Large-scale Social Identity Linkage via Heterogeneous Behavior Modeling
Siyuan Liu, Carnegie Mellon University; Shuhui Wang, Chinese Academy of Sciences; Feida Zhu, Singapore Management University; Jinbo Zhang, Peking University; Ramayya Krishnan, Carnegie Mellon University
-
In Search of Influential Event Organizers in Online Social Networks
Kaiyu Feng, Nanyang Technological University; Gao Cong, Nanyang Technological University; Sourav Bhowmick, Nanyang Technological University; Shuai Ma, Beihang University
-
Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency
Youze Tang, Nanyang Technological University; Xiaokui Xiao, Nanyang Technological University; Yanchen Shi, Nanyang Technological University
-
Efficient Location-Aware Influence Maximization
Guoliang Li, Tsinghua University; Shuo Chen, Tsinghua University; Jianhua Feng, Tsinghua University; Kian-Lee Tan, National University of Singapore; Wan-Syan Li, SAP
-
Tracking Set Correlations at Large Scale
Foteini Alvanaki, Saarland University; Sebastian Michel, Saarland University
-
Aggregate Estimation Over a Microblog Platform
Saravanan Thirumuruganathan, University of Texas at Arlington; Nan Zhang, George Washington University; Vagelis Hristidis, UC Riverside; Gautam Das, University of Texas at Arlington
-
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media
Linhong Zhu, University of Southern California; Aram Galstyan, University of Southern California; James Cheng, Chinese University of Hong Kong; Kristina Lerman, University of Southern California
-
A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems
Hongzhi Yin, Peking University; Bin Cui, Peking University; Ling Chen, University of Technology, Sydney; Zhiting Hu, Peking University; Zi Huang, University of Queensland
-
Querying K-Truss Community in Large and Dynamic Graphs
Xin Huang, Chinese University of Hong Kong; Hong Cheng, Chinese University of Hong Kong; Lu Qin, University of Technology, Sydney; Wentao Tian, Chinese University of Hong Kong; Jeffrey Xu Yu, Chinese University of Hong Kong
-
Reachability Queries on Large Dynamic Graphs: A Total Order Approach
Andy Diwen Zhu, NTU Singapore; Wenqing Lin, NTU Singapore; Sibo Wang, NTU Singapore; Xiaokui Xiao, Nanyang Technological University
-
EAGr: Supporting Continuous Ego-centric Aggregation Queries on Large Dynamic Graphs
Jayanta Mondal, University of Maryland; Amol Deshpande, University of Mayland
-
Localizing Anomalous Changes in Time-evolving Graphs
Sricharan Kumar, Palo Alto Research Center; Kamalika Das, UARC NASA Ames Research Center
-
CrowdFill: Collecting Structured Data from the Crowd
Hyunjung Park, Stanford University; Jennifer Widom, Stanford University
-
OASSIS: Query Driven Crowd Mining
Yael Amsterdamer, Tel Aviv University; Susan Davidson, University of Pennsylvania; Tova Milo, Tel Aviv University; Slava Novgorodov, Tel Aviv University; Amit Somech, Tel Aviv University
-
Corleone: Hands-Off Crowdsourcing for Entity Matching
Chaitanya Gokhale, University of Wisconsin Madison; Sanjib Das, University of Wisconsin Madison; AnHai Doan, University of Wisconsin Madison; Jeffrey Naughton, University of Wisconsin Madison; Narasimhan Rampalli, @WalmartLabs; Jude Shavlik, University of Wisconsin Madison; Jerry Zhu, University of Wisconsin Madison
-
Descriptive and Prescriptive Data Cleaning
Anup Chalamalla, University of Waterloo; Ihab Ilyas, University of Waterloo; Mourad Ouzzani, Qatar Computing Research Institute; Paolo Papotti, Qatar Computing Research Institute
-
Towards Dependable Data Repairing with Fixing Rules
Jiannan Wang, UC Berkeley; Nan Tang, Qatar Computing Research Institute
-
A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data
Jiannan Wang, UC Berkeley; Sanjay Krishnan, UC Berkeley; Michael
Franklin, UC Berkeley; Ken Goldberg, UC Berkeley; Tim Kraska, Brown
University; Tova Milo, Tel Aviv University
-
Fusing Data with Correlations
Ravali Pochampally, University of Massachusetts Amherst; Anish Das Sarma, Troo.Ly Inc; Xin Dong, Google Inc; Alexandra Meliou, University of Massachusetts Amherst; Divesh Srivastava, AT&T Labs Research
-
Density-based Place Clustering in Geo-Social Networks
Jieming Shi, University of Hong Kong; Nikos Mamoulis, University of Hong Kong; Dingming Wu, University of Hong Kong; David Cheung, University of Hong Kong
-
Hypersphere Dominance: An Optimal Approach
Cheng Long, Hong Kong University of Science and Technology; Raymond Chi-Wing Wong, Hong Kong University of Science and Technology; Bin Zhang, Hong Kong University of Science and Technology; Min Xie, Hong Kong University of Science and Technology
-
Efficient Algorithms for Optimal Location Queries in Road Networks
Zitong Chen, ; Yubao Liu, Sun Yat-Sen University; Raymond Chi-Wing Wong, Hong Kong University of Science and Technology; Jiamin Xiong, ; Ganglin Mai, ; Cheng Long, Hong Kong University of Science and Technology
-
Robust Set Reconciliation
Di Chen, Hong Kong University of Science and Technology; Christian Konrad, Reykjavik University; Ke Yi, Hong Kong University of Science and Technology; Wei Yu, Aarhus University; Qin Zhang, Indiana University Bloomington
-
The Pursuit of a Good Possible World: Extracting Representative Instances of Uncertain Graphs
Panos Parchas, Hong Kong University of Science and Technology; Francesco Gullo, Yahoo Labs; Dimitris Papadias, Hong Kong University of Science and Technology; Francesco Bonchi, Yahoo Labs
-
Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets
Nadathur Satish, Intel Labs; Narayanan Sundaram, Intel Labs; Mostofa Patwary, Intel Labs; Jiwon Seo, Stanford University; Jongsoo Park, Intel Labs; Muhammad Hassaan, Intel Labs; Shubho Sengupta, Intel Labs; Zhaoming Yin, Georgia Tech; Pradeep Dubey, Intel Labs
-
Local Search of Communities in Large Graphs
Wanyun Cui, Fudan University; Yanghua Xiao, Fudan University; Haixun Wang, Google Research; Wei Wang, Fudan University
-
Mining Statistically Significant Connected Subgraphs in Vertex Labeled Graphs
Akhil Arora, Indian Institute of Technology, Kanpur; Mayank Sachan, Indian Institute of Technology, Kanpur; Arnab Bhattacharya, Indian Institute of Technology, Kanpur
-
TriAD: A Distributed Shared-Nothing RDF Engine based on Asynchronous Message Passing
Sairam Gurajada, MPI Informatics; Stephan Seufert, MPI Informatics; Iris Miliaraki, MPI Informatics; Martin Theobald, University of Antwerp
-
Querying Big Graphs within Bounded Resources
Wenfei Fan, University of Edinburgh; Xin Wang, Southwest Jiaotong University; Yinghui Wu, UC Santa Barbara
-
Natural Language Question Answering over RDF
Lei Zou, Peking University; Ruizhe Huang, Peking University; Haixun Wang, Microsoft
Research Asia; Jeffrey Xu Yu, Chinese University of Hong Kong; Wenqiang He, Peking University; Dongyan Zhao, Peking University
-
Scalable Similarity Search for SimRank
Mitsuru Kusumoto, Preferred Infrastructure Inc; Takanori Maehara, National Institute of Informatics Tokyo; Ken-ichi Kawarabayashi, National Institute of Informatics Tokyo
-
Efficient Cohesive Subgraphs Detection in Parallel
Yingxia Shao, Peking University; Lei Chen, Hong Kong University of Science and Technology; Bin Cui, Peking University
-
Parallel Subgraph Listing in a Large-Scale Graph
Yingxia Shao, Peking University; Bin Cui, Peking University; Lei Chen, Hong Kong University of Science and Technology; Lin Ma, Peking University; Junjie Yao, Peking University; Ning Xu, Peking University
-
OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs
Jinha Kim, Pohang University of Science and Technology (POSTECH); Wook-Shin Han Pohang University of Science and Technology (POSTECH); Sangyeon Lee, Pohang University of Science and Technology (POSTECH); Kyungyeol Park, Pohang University of Science and Technology (POSTECH); Hwanjo Yu, Pohang University of Science and Technology (POSTECH)
-
Indexing for Interactive Exploration of Big Data Series
Kostas Zoumpatianos, University of Trento; Stratos Idreos, Harvard University; Themis Palpanas, University of Trento
-
Histograms as a Side Effect of Data Movement for Big Data
Zsolt Istvan, ETH Zurich; Louis Woods, ETH Zurich; Gustavo Alonso, ETH Zurich
-
A Formal Approach to Finding Explanations for Database Queries
Sudeepa Roy, University of Washington; Dan Suciu, University of Washington
-
MISO: Souping Up Big Data Query Processing with a Multistore System
Jeff LeFevre, UC Santa Cruz; Jagan Sankaranarayanan, NEC Labs America; Hakan Hacigumus, NEC Labs America; Junichi Tatemura, NEC Labs America; Neoklis Polyzotis, UC Santa Cruz; Michael Carey, UC Irvine
-
Which Concepts Are Worth Extracting?
Arash Termehchy, Oregon State University; Ali Vakilian, MIT; Yodsawalai Chodpathumwan, University of Illinois at Urbana-Champaign; Marianne Winslett, University of Illinois at Urbana-Champaign
-
Querying Virtual Hierarchies using Virtual Prefix-Based Numbers
Curtis Dyreson, Utah State University; Sourav Bhowmick, Nanyang Technological University; Ryan Grapp, Utah State University
-
NLyze: Interactive Programming by Natural Language for SpreadSheet Data Analysis and Manipulation
Sumit Gulwani, Microsoft Research; Mark Marron, Microsoft Research
-
Sinew: a SQL System for Unified Analytics of Multi-structured Data
Daniel Tahara, Yale University; Thaddeus Diamond, Hadapt; Daniel Abadi, Yale University
-
Overlap Interval Partition Join
Anton Dignos, University of Zurich; Michael Bohlen, University of Zurich; Johann Gamper, Free University of Bozen-Bolzano
-
Similarity Joins for Uncertain Strings
Manish Patil, Louisiana State University; Rahul Shah, Louisiana State University
-
Track Join: Distributed Joins with Minimal Network Traffic
Orestis Polychroniou, Columbia University; Rajkumar Sen, Oracle Corporation; Kenneth Ross, Columbia University
-
On-the-Fly Token Similarity Joins in Relational Databases
Nikolaus Augsten, University of Salzburg; Armando Miraglia, VU University Amsterdam; Thomas Neumann, TU Munchen; Alfons Kemper, TU Munchen
-
Knowing When You're Wrong: Building Fast and Reliable Approximate Query Processing Systems
Sameer Agarwal, UC Berkeley; Henry Milner, UC Berkeley; Ariel Kleiner, UC Berkeley; Ameet Talwalkar, UC Berkeley; Michael Jordan, UC Berkeley; Sam Madden, MIT; Barzan Mozafari, University of Michigan; Ion Stoica, UC Berkeley
-
Discovering Queries based on Example Tuples
Yanyan Shen, National University of Singapore; Kaushik Chakrabarti, Microsoft Research; Surajit Chaudhuri, Microsoft Research; Bolin Ding, Microsoft Research; Lev Novik, Microsoft
-
Interactive Data Exploration Using Semantic Windows
Alexander Kalinin, Brown University; Ugur Cetintemel, Brown University; Stan Zdonik, Brown University
-
Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration
Kyriaki Dimitriadou, Brandeis University; Olga Papaemmanouil, Brandeis University; Yanlei Diao, University of Massachusetts Amherst
-
Modeling Entity Evolution for Temporal Record Matching
Yueh-Hsuan Chiang, University of Wisconsin Madison; AnHai Doan, University of Wisconsin Madison; Jeffrey Naughton, University of Wisconsin Madison
-
Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation
Qi Li, SUNY Buffalo; Yaliang Li, SUNY Buffalo; Jing Gao, SUNY Buffalo; Bo Zhao, Microsoft Research; Wei Fan, Huawei Noah’s Ark Lab; Jiawei Han, University of Illinois
-
A Probabilistic Model for Linking Named Entities in Web Text with Heterogeneous Information Networks
Wei Shen, Tsinghua University; Jiawei Han, UIUC; Jianyong Wang, Tsinghua University
-
Matching Heterogeneous Event Data
Xiaochen Zhu, Tsinghua University; Shaoxu Song, Tsinghua University; Xiang Lian, University of Texas - Pan American; Jianmin Wang, Tsinghua University; Lei Zou, Peking University
-
Complete Yet Practical Search for Minimal Query Reformulations Under Constraints
Ioana Ileana, Telecom Paris Tech; Bogdan Cautis, University of Paris-Sud; Alin Deutsch, UC San Diego; Yannis Katsis, UC San Diego
-
Query Shredding: Efficient Relational Evaluation of Nested Queries
Sam Lindley, University of Edinburgh; James Cheney, University of Edinburgh; Philip Wadler, University of Edinburgh
-
Plan Bouquets: Query Processing without Selectivity Estimation
Anshuman Dutt, Indian Institute of Science; Jayant Haritsa, Indian Institute of Science
-
Schema-free SQL
Fei Li, University of Michigan; Tianyin Pan, University of Michigan; H. V. Jagadish, University of Michigan
-
Towards Unified Ad-hoc Data Processing
Xiaogang Shi, Peking University; Bin Cui, Peking University; Gillian Dobbie, University of Auckland; Beng Chin Ooi, National University of Singapore
-
Partial Results in Database Systems
Willis Lang, Microsoft Gray Systems Lab; Rimma Nehme, Microsoft Gray Systems Lab; Eric Robinson, Microsoft Gray Systems Lab; Jeffrey Naughton, University of Wisconsin-Madison
-
Parallel In-Situ Data Processing with Speculative Loading
Yu Cheng, UC Merced; Florin Rusu, UC Merced
-
Approximation Schemes for Many-Objective Query Optimization
Immanuel Trummer, EPFL; Christoph Koch, EPFL
-
H2O: A Hands-Free Adaptive Store
Ioannis Alagiannis, EPFL; Stratos Idreos, Harvard University; Anastasia Ailamaki, EPFL
-
Fine-grained Blocking for Aggressive Data Skipping
Liwen Sun, UC Berkeley; Michael Franklin, UC Berkeley; Sanjay Krishnan, UC Berkeley; Reynold Xin, UC Berkeley
-
DSH: Data Sensitive Hashing for High-Dimensional k-NN Search
Jinyang Gao, National University of Singapore; H. V. Jagadish, University of Michigan; Wei Lu, National University of Singapore; Beng Chin Ooi, National University of Singapore
-
Fast and Unified Local Search for Random Walk Based K-Nearest-Neighbor Query in Large Graphs
Yubao Wu, Case Western Reserve University; Ruoming Jin, Kent State University; Xiang Zhang, Case Western Reserve University
-
Global Immutable Region Computation
Jilian Zhang, Singapore Management University; Kyriakos Mouratidis, Singapore Management University; HweeHwa Pang, Singapore Management University
-
Answering Top-k Representative Queries on Graph Databases
Sayan Ranu, IIT Madras; Minh Hoang, UCSB; Ambuj Singh, UCSB
-
Knowledge Expansion over Probabilistic Knowledge Bases
Yang Chen, University of Florida; Daisy Zhe Wang, University of Florida
-
InsightNotes: Summary-Based Annotation Management in Relational Databases
Dongqing Xiao, Worcester Polytechnic Institute; Mohamed Eltabakh, Worcester Polytechnic Institute
-
A Pivotal Prefix Based Filtering Algorithm for String Similarity Search
Dong Deng, Tsinghua University; Guoliang Li, Tsinghua University; Jianhua Feng, Tsinghua University
