Test of Time Awards

1. Toward an Architecture for Never-Ending Language Learning
   Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles,
   Estevam R. Hruschka Jr., and Tom M. Mitchell, Classic Paper Award, AAAI 2025
2. Maximum Entropy Inverse Reinforcement Learning
   Brian D. Ziebart, Andrew Maas, J.Andrew Bagnell, and Anind K. Dey, Classic Paper Award, AAAI 2024
3. Knowledge Graph Identification
   Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen, (ISWC-2013). This paper won the ISWC 2013 Best Student Paper Award, and the 2023 Semantic Web Science Association’s Ten-Year Award, for the the highest impact papers from the ISWC proceedings ten years prior.
4. Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
   J. Zico Kolter & Tommi S. Jaakkola (MIT), Test of Time Award, AISTATS 2022
5. On Causal and Anticausal Learning
   Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris Mooij, Test of Time Award Honorable Mention, ICML 2022
6. Computing the Optimal Strategy to Commit to
   Vincent Conitzer, and Tuomas Sandholm, Influential Paper Award, IFAAMAS, 2022
7. OddBall: Spotting Anomalies in Weighted Graphs
   Leman Akoglu, Mary McGlohon, Christos Faloutsos, Influential Paper Award, PAKDD 2020
8. Cost-effective Outbreak Detection in Networks
   Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriese, Natalie Glance, Test of Time Award, SIG-KDD 2019
9. Comparing Anomaly-Detection Algorithms for Keystroke Dynamics
   Roy A. Maxion, Kevin S. Killourhy, Test of Time Award, DSN 2019
10. PEGASUS: A Peta-Scale Graph Mining System - Implementation and Observations
    U Kang, Charalampos Tsourakakis, Christos Faloutsos, Test of Time Award, IEEE ICDM 2018
11. Graphs Over Time: Densification Laws, Shrinking Diameters and Possible Explanations
    Jure Leskovec, Jon Kleinberg, Christos Faloutsos, Test of Time Award, KDD 2016
    
12. Dynamic Topic Models
    John Lafferty, David Blei, Test of Time Award, ICML 2016
13. Realistic, Mathematically Tractable Graph Generation and Evolution, Using Krinecker Multiplication
    Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Test of Time Award, ECML/PKDD 2015
14. Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval
    Cheng Zhai, William Cohen, John Lafferty, Test of Time Award, SIGIR 2014
15. Diffusion Kernels on Graphs and Other Discrete Input Spaces
    Risi Kondor and John Lafferty, Test of Time Award, ICML 2012
16. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
    John Lafferty, Andrew McCallum, and Fernando C. N. Pereira, Test of Time Award, ICML 2011
17. On Power-Law Relationships of the Internet Topology
    Michalis Faloutsos, Petros Faloutsos and Christos Faloutsos, Test of Time Award, ACM SIGCOMM 2010
18. Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity
    William Cohen, Test of Time Award, ACM SIGMOD, 2008
19. Combining Labeled and Unlabeled Data With Co-Training
    A. Blum and T. Mitchell, Test of Time Award, ICML/COLT, 2008
20. A Maximum Entropy Approach to Adaptive Statistical Language Modeling
    Roni Rosenfeld, Computer, Speech and Language, 10, 187--228, 1996
    5 year most influential paper award, 2001

Dissertation Awards

1. Foundations of Multisensory Artificial Intelligence
   Paul Pu Liang, CMU SCS Dissertation Award, 2024
2. Principled Machine Learning for Societally Consequential Decision Making
   Amanda Coston, Honorable mention, CMU SCS Dissertation Award, 2023
   
3. Gradient Descent for Non-convex Problems in Modern Machine Learning
   Simon Shaolei Du, Honorable mention, CMU SCS Dissertation Award, 2019
4. Computational and Statistical Advances in Testing and Learning
   Aaditya Kumar Ramdas, Umesh K. Gavaskar Memorial Thesis Award, 2015
5. Uncovering Structure in High-Dimensions: Networks and Multi-Task Learning Problems
   Mladen Kolar, Honorable mention, SIGKDD Doctoral Dissertation Award, 2014
6. Data Mining Meets HCI: Making Sense of Large Graphs
   Duen Horng (Polo) Chau, Honorable mention, CMU SCS Dissertation Award, 2012
7. Dynamics of Large Networks
   Jure Leskovec, KDD Dissertation Award, 2009
8. Scalable Dynamic Nonparametric Bayesian Models of Content and Users
   Amr Ahmed, Eric Xing, Best PhD Dissertation Award, KDD 2012

Best Paper and Runner-Up Awards

1. FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
   Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze, (MLSys, 2025)
2. Mamba: Linear-Time Sequence Modeling with Selective State Spaces
   Albert Gu, Tri Dao, Outstanding Paper Award, Conference on Language Modeling (COLM 2024)
3. PATIENT-𝜓: Using Large Language Models to Simulate Patients for Training Mental Health Professionals
   Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu
4. Learning Accurate and Interpretable Decision Trees
   M. Balcan, D. Sharma, Outstanding Student Paper Award (UAI 2024)
5. How Much Data Is Sufficient to Learn High-Performing Algorithms?
   M. Balcan, D. Deblasio, T. Dick, C. Kingsford, T. Sandholm, E. Vitercik, Featured Article, Journal of the ACM
6. CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting
   P. Schaldenbrand, G. Parmar, J.Y. Zhu, J. McCann, J. Oh, Best Paper on Human-Robot Interaction, ICRA 2024, Best Demo Award Finalist, ICRA EXPO 2024
7. BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
   S. Milani, A. Kanervisto, K. Jucys, S. Schulhott, B. Houghton, R. Shah, Outstanding Paper Award, (ICML 2024) (MFM-EAI) Workshop
8. Automated Generation and Tagging of Knowledge Components From Multiple-Choice Questions
   S. Moore, R. Schmucker, T. Mitchell, and J. Stamper, Best Dataset Award, Learning at Scale Conference 2024
9. Comparing Sequential Forecasters
   Y.J. Choe, A. Ramdas, Operations Research, 2023, Citadel Research Showcase Runner-up
10. Martingale Methods for Sequential Estimation of Convex Functionals and Divergences
    T. Manole, A. Ramdas, Student Research Award, IEEE Trans. on Information Theory, 2023 Statistical Society of Canada
11. Data Fission: Splitting a Single Data Point
    James Leiner, Boyan Duan, Larry Wasserman, Aaditya Ramdas, Discussion paper in the Journal of the American Statistical Association 2023
12. WinoDict: Probing Language Models for In-Context Word Acquisition
    Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen. WinoDict: Probing language models for in-context word acquisition, One of two winner of the "Best Long Paper" Award (EACL-2023)
13. Explainable AI Helps Bridge the AI Skills Gap: Evidence from a Large Bank
    Selina Carter, Jonathan Hersh, Best PhD Student Paper Award, (USC Marshall AIM 2023)
14. Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
    Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar, Best Paper Award, AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023)
15. Validating Large Language Models with ReLM
    M. Kuchnik, V. Smith, G.amvrosiadis, Outstanding Paper Award, Conference on Machine Learning and Systems (MLSys 2023)
    
16. Estimating means of bounded random variables by betting
    Ian Waudby-Smith, Aaditya Ramdas, Discussion paper in the Journal of the Royal Statistical Society 2023.
17. Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems
    L. Masserano, T Dorigo, R. Izbicki, M. Kuusela, A. Lee, (ASA 2023)
18. A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-Making Algorithms
    A Coston, A Kawakami, H Zhu, K Holstein, H Heidari, Best Paper Award, (IEEE SaTML 2023)
19. Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design
    Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah, Best Paper Honorable Mention Award (HCOMP 2022)
    
20. Legged Locomotion in Challenging Terrain using Egocentric Vision
    Ananye Agarwal*, Ashish Kumar*, Jitendra Malik^, Deepak Pathak^, Best Systems Paper (CoRL 2022)
    
21. Provably Fair Federated Learning
    Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith, Best Paper Award, Workshop on Socially Responsible Machine Learning, (ICLR 2022)
22. Efficiently Modeling Long Sequences with Structured State Spaces
    Albert Gu, Karan Goel, Christopher Re, Honorable Mention (ICLR 2022)
23. Integrating Rankings into Quantized Scores in Peer Review
    Y. Liu, Y. Xu, N. Shah and A. Singh, Outstanding + People's Choice Award, SMILES workshop, (ICLR 2022)
    
24. Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment
    Steven Jecmen, Nihar Shah, Fei Fang, Vincent Conitzer, Outstanding Award, SMILES workshop, (ICLR 2022)
25. Comparing Distributions by Measuring Differences that Affect Decision Making
    Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon, Best Paper Award, (ICLR 2022)
    
26. RiLACS: Risk-Limiting Audits via Confidence Sequences
    Ian Waudby-Smith, Philip B. Stark, Aaditya Ramdas, Best Paper Award, The International Conference for Electronic Voting, 2021. 
27. Ditto: Fair and Robust Federated Learning Through Personalization
    Tian Li, Shengyuan Hu, Ahmad Beirami (Facebook AI), Virginia Smith, Best Paper Award, Secure ML Workshop, (ICLR 2021)
28. Screen2Vec: Semantic Embedding of GUI Screens and GUI Components
    Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, and Brad A. Myers, Best Paper Honorable Mention, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI 2021)
    
29. On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes.
    Hoda Heidari, Solon Barocas, John Kleinberg, and Karen Levy, Exemplary track award. The ACM Conference on Economics and Computation (EC 2021)
30. Best Arm Identification under Additive Transfer Bandits
    Ojash Neopane, Aaditya Ramdas, Aarti Singh, Best Student Paper, Asilomar Conference on Signals, Systems, and Computers, 2021.
31. Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
    Aurick Qiao, Sangkeun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho (Petuum), Hao Zhang, Greg Ganger, Eric Xing, Jay Lepreau, Best Paper Award, (OSDI 2021)
    
32. Allocating Opportunities in a Dynamic Model of Intergenerational Mobility
    Hoda Heidari and Jon Kleinberg, Best Paper Award, (FAccT 2021)
33. Classification accuracy as a proxy for two sample testing
    I. Kim, A. Ramdas, A. Singh, L. Wasserman, JSM Stat Learning Student Paper Award, Annals of Stat., 2021
34. Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs
    T. Li, J. Chen, H. Xia, T. Mitchell, and B. Myers, Best Paper Award. Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2020),DOI:, 2020.
    
35. Superhuman AI for Multiplayer Poker
    N. Brown, T. Sandholm, Highlights Beyond EC, ACM Conference on Economics and Computation (EC), 2020. Also selected as one of the science breakthroughs of the year 2019 by Science.
36. Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings
    Jingyan Wang and Nihar B. Shah, Best Student Paper Award, (AAMAS 2019)
    
37. Bridging deep learning and logical reasoning using a differentiable satisfiability solver
    Po-Wei Wang, Priya L. Donti, Bryan Wilder, Zico Kolter, Best Paper Award Honorable mention, (ICML 2019)
38. Solving Imperfect-Information Games via Discounted Regret Minimization
    Noam Brown and Tuomas Sandholm, Outstanding Paper Honorable Mention, In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2019)
39. Estimating Approximate Incentive Compatibility
    Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik, Exemplary Artificial Intelligence Track Paper, 20th ACM Conference on Economics and Computation, 2019
40. What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
    Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai, Best Thematic Paper Award, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)
41. Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
    Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wangrong Zhu, Devendra Singh Sachan, Eric P. Xing, Best Demo Paper Nomination, (ACL 2019)
42. How Many Samples are Needed to Learn a Convolutional Neural Network? 
    S. Du, Y. Wang, X. Zhai, S. Balakrishnan, R. Salakhutdinov and A. Singh., NVIDIA Pioneer Award, Neural Information Processing Systems, (NeurIPS 2018)
43. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
    Divyansh Kaushik and Zachary C. Lipton, Best Short Paper, Empirical Methods in Natural Language Processing (EMNLP 2018)
44. Local White Matter Architecture Defines Functional Brain Dynamics 
    Y. J. Choe, S. Balakrishnan, A. Singh, J. M. Vettel and T. Verstynen. Franklin V. Taylor Memorial Best Paper Award, IEEE International Conference on Systems, Man and Cybernetics, (SMC 2018)
45. GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid
    Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry Pileggi, Christos Faloutsos, Best Student Paper Runner-up Award, (ECML/PKDD 2018)
46. Incorporating Privileged Information to Unsupervised Anomaly Detection
    Shubhranshu Shekhar, and Leman Akoglu, Best Student Paper Runner-up Award, (ECML/PKDD 2018)
47. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
    Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel, Best Paper, (ICLR 2018)
48. Multimodal Sentiment Analysis with Word-level Fusion and Reinforcement Learning
    Minghai Chen*, Sen Wang*, Paul Pu Liang*, Tadas Baltrušaitis, Amir Zadeh, Louis-Philippe Morency (*equal contributions). Best Paper, honorable mention, ACM International Conference on Multimodal Interaction (ICMI 2017)
49. Safe and Nested Subgame Solving for Imperfect-Information Games
    N. Brown, T. Sandholm, Best Paper Award, (NIPS 2017)
50. Superhuman AI for heads-up no-limit poker: Libratus beats top professionals
    N. Brown, T. Sandholm,Scientific Breakthrough, La Recherche, 2017
51. Harnessing Deep Neural Networks with Logic Rules
    Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, Eric P. Xing, Outstanding Long Paper, (ACL 2016)
52. FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
    Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos, Best Research Paper, KDD 2016
53. Managed Communication and Consistency for Fast Data-Parallel Iterative Analytics
    J. Wei, W. Dai, A. Qiao, H. Cui, Q. Ho, G. R. Ganger, P. B. Gibbons, G. A. Gibson, and E.P. Xing, Best Paper, (SoCC 2015)
54. Deep Neural Decision Forest
    Peter Kontschieder (Microsoft Research Cambridge), Madalina Fiterau-Brostean, Samuer Rota-Bulò (Fondazione Bruno Kessler) and Antonio Criminisi (Microsoft Research Cambridge) , Best Paper Award, ICCV 2015
55. Unsupervised Visual Representation Learning by Context Prediction
    Carl Doersch, Abhinav Gupta, Alexei A. Efros (UC, Berkeley), Best Paper Award, (ICCV 2015)
56. Who supported Obama in 2012? Ecological inference through distribution regression
    Seth Flaxman, Yu-Xiang Wang, Alex Smola, Best Student Paper Award, KDD 2015
57. Bayesian Active Learning for Posterior Estimation
    Kirthevasan Kandasamy, Jeff Schneider, Barnabás Póczos, Distinguished Paper Award, IJCAI 2015
58. Cross-Device Search
    Montañez G, White R, Huang X, Best Paper Award, (CIKM 2014)
59. Language Modeling with Power Low Rank Ensembles
    Ankur P. Parikh, Avneesh Saluja, Chris Dyer and Eric Xing, Runner up, Best Paper Award, (EMNLP 2014)
60. Toward Combining Intra-Real Time Dispatch (RTD) and AGC for On-Line Power Balancing
    Marija Ilic, Xiaoqi Yin, Qixing Liu, and Yang Weng, Best Paper at the IEEE Power & Energy Society General Meeting, Washington D.C., 2014
61. Com2: Fast Automatic Discovery of Temporal ('Comet') Communities
    M. Araujo, S. Papadimitriou, S. Günnemann, C. Faloutsos, P. Basu, A. Swami, E. Papalexakis, and D. Koutra, Runner up, Best Student Paper Award, (PAKDD 2014)
62. Reducing the Sampling Complexity of Topic Models
    Aaron Li, Amr Ahmed, Sujith Ravi, Alex Smola, Best Paper Award, (KDD 2014)
63. Hierarchical Multitask Learning: Scalable Algorithms and an Application to Conversion Optimization in Display Advertising
    Amr Ahmed, Abhimanyu Das [Microsoft], and Alex Smola, Best Paper Award, (WSDM 2014)
64. Recovering Graph-Structured Activations using Adaptive Compressive Measurements
    A. Krishnamurthy, J. Sharpnack and A. Singh, Best Student Paper Award, Asilomar Conference on Signals, Systems, and Computers, 2013.
65. Discovering Pictorial Brand Associations from Large-Scale Online Image Data
    G. Kim and E. P. Xing, (Isviscom 2013)
66. Learning Using Local Membership Queries
    Pranjal Awasthi, Vitaly Feldman and Varun Kanade, Best Student Paper Award, (COLT 2013)
67. Graphical model for state estimation in electric power systems
    Yang Weng, Rohit Negi, and Marija Ilic, Ranking First in all Papers, IEEE International Conference on Smart Grid Communications, 2013.
68. Recursive Regularization for Large-scale Classification with Hierarchical and Graphical Dependencies
    Diddharth Gopal, Yiming Yang, Best Student Paper runner up, (SIGKDD 2013)
69. Gelling, and Melting, Large Graphs by Edge Manipulation
    Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos and Christos Faloutsos, Best Paper Award, (CIKM 2012)
70. Distributed Learning, Communication Complexity, and Privacy
    Maria Florina Balcan, Avrim Blum, Shai Fine, and Yishay Mansour, Runner up Best Paper Award, (COLT 2012)
71. A Search Method for Obtaining Initial Guesses for Smart Grid State Estimation
    Yang Weng, Rohit Negi, and Marija Ilic, Best Paper Award, IEEE International Conference on Smart Grid Communications, Tainan, Taiwan, 2012.
72. Assessment of synchrony in multiple neural spike trains using loglinear point process models
    Kass, R.E., Kelly, R.C., and Loh, W.-L. Annals of Applied Statistics, 5: 1262--1292 (2011). Outstanding Statistical Application Award, (ASA 2013)
73. The Automatic Assessment of Knowledge Integration Processes in Project Teams
    Gahgene Gweon, Pulkit Agarwak, Mikesh Udani, Bhiksha Raj, Carolyn Rose', Best Student Paper, 9th International Conference on Computer Supported Collaborative Learning, (CSCL 2011)
74. TREEGL: Reverse Engineering Tree-evolving Gene Networks Underlying Developing Biological Lineages
    Ankur Parikh, Wei Wu, Ross Curtis and Eric Xing, Best Paper Award in Translational Bioinformatics, (ISMB 2011)
75. Computational Rationalization: The Inverse Equilibrium Problem
    Kevin Waugh, Brian Ziebart, Drew Bagnell, (ICML 2011)
76. Spectral Analysis for Billion Scale Graphs: Discoveries and Implementation
    U Kang, Brendan Meeder, Christos Faloutsos, Best application paper, (PAKDD 2011)
77. A Comparison of Latent Variable Models for Conversation Analysis
    Sourish Chaudhuri, Bhiksha Raj, (SIGDIAL 2011)
78. Focused Belief Propagation for Query-Specific Inference
    Anton Chechetka, Carlos Guestrin, Best Student Paper, (AISTATS 2010)
79. Theoretical Justification of Popular Link Prediction Heuristics
    Purnamrita Sarkar, Deepayan Chakrabarti, Andrew Moore, Best Student Paper, (COLT 2010)
80. Hilbert Space Embeddings of Hidden Markov Models
    Le Song, Byron Boots, Sajid Siddiqi, Geoff Gordon, Alex Smola, (ICML 2010)
81. Modeling Interaction via the Principle of Maximum Causal Entropy
    Brian Ziebart, Anind Dey, Drew Bagnell, Runnerup Best Student Paper, (ICML 2010)
82. Non-negative Hidden-Markov Modeling of Audio with Application to Source Separation
    Gautham Mysore, Paris Smaragdis, Bhiksha Raj, Best Student Paper, 9th International Conference on Latent Variable Analysis and Source Separation, 2010
83. Connecting the dots between news articles
    Dafna Shahaf & Carlos Guestrin, (KDD 2010)
84. OddBall: Spotting Anomalies in Weighted Graphs
    Leman Akoglu, Mary McGlohon, Christos Faloutsos, (PAKDD 2010)
    
85. Concise integer linear programming formulations for dependency parsing
    Andre F. T. Martins, Noah A. Smith, Eric P. Xing, (ACL 2009)
86. RTG: A Recursive Realistic Graph Generator using Random Typing
    Leman Akoglu, Christos Faloutsos, Best Knowledge Discovery Paper award, (ECML PKDD 2009)
87. PEGASUS: A Peta-Scale Graph Mining System - Implementation and Observations
    U Kang, Charalampos Tsourakakis, Christos Faloutsos, Best Applications paper runner up, (ICDM 2009)
88. Sources of evidence for vertical selection
    Jaime Arguello, Fernando Diaz, Jamie Callan, Jean-Francois Crespo, (SIGIR 2009)
89. The True Sample Complexity of Active Learning
    Maria Florina Balcan, Steve Hanneke, and Jennifer Wortman, Mark Fulk Best Student Paper Award, (COLT 2008)
90. A Response Time Model for Bottom-Out Hints as Worked Examples
    Benjamin Shih, Ken Koedinger,  Richard Scheines, (EDM 2008)
91. Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks
    Andreas Krause, Jure Leskovec, Carlos Guestrin, Jeanne VanBriesen, Christos Faloutsos, Best Research Paper, Journal of Water Resources Planning and Management, 134(6), 516-526 (2008)
92. Proximity Tracking on Time-Evolving Bipartite Graphs
    Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos, (SDM 2008)
93. Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
    Colin McMillen, Manuela Veloso, (AAAI 2007)
94. Cost-effective Outbreak Detection in Networks
    Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie Glance, (ACM SIGKDD 2007)
95. Likelihood-Maximizing Beamforming for Robust Hands-Free Speech Recognition
    M. L. Seltzer, B. Raj, and R. M. Stern, Best Young Author, IEEE Signal Processing Society, 2007
96. Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos, (SIAM 2007)
97. Harmonium-Based Models for Semantic Video Representation and Classification
    J. Yang, Y. Liu, E. P. Xing, A. Hauptmann, (SDM 2007)
98. Mixed membership stochastic block models for relational data, with applications to protein-protein interactions
    E.M Airodi, D.M. Blei, E.P. Xing and S.E. Fienberg, (ENAR 2006)
99. Fast Random Walk with Restart and Its Applications
    Hanghang Tong, Christos Faloutsos, Jia-Yu Pan, (ICDM 2006)
100. Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost
     Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon Kleinberg, (IPSN 2006)
101. On Multidimensional Data and Modern Disks
     Steven W. Schlosser, Jiri Schindler, Stratos Papadomanolakis, Minglong Shao, Anastassia Ailamaki, Christos Faloutsos, Gregory R. Ganger, (FAST 2005)
102. ViVo: Visual Vocabulary Construction for Mining Biomedical Images
     Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mark Verardo, Hyunjeong Yang, Christos Faloutsos and Ambuj Singh, (one of five best student paper awards), (ICDM 2005)
103. Near-optimal Sensor Placements in Gaussian Processes
     Carlos Guestrin, Andreas Krause, Ajit Singh, Best Paper Runner-up, (ICML 2005)
104. A Robust Architecture for Distributed Inference in Sensor Networks
     Mark Paskin, Carlos Guestrin, Jim McFadden , (IPSN 2005)
105. Graphs over time: densification laws, shrinking diameters and possible explanations
     Jure Leskovec, Jon Kleinberg, Christos Faloutsos, (KDD 2005)
106. Near-optimal Value of Information in Graphical Models
     Andreas Krause and Carlos Guestrin, Best Paper Runner-up Award, (UAI 2005)
107. A generalized mean field algorithm for variational inference in exponential families
     E.P. Xing, M.I. Jordan, and S. Russell, Best Student paper award, (UAI 2003)
108. AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases 
     Jia-Yu Pan, Christos Faloutsos, Masafumi Hamamoto, Hiroyuki Kitagawa, Best Student paper award, (PAKDD 2004)
109. Classifying Instantaneous Cognitive States from fMRI Data
     T. Mitchell, R. Hutchinson, M. Just, R.S. Niculescu, F. Pereira, X. Wang, Best Foundational Paper Award, American Medical Informatics Association Symposium, October 2003.
110. Capturing the spatio-temporal behavior of real traffic data
     Mengzhi Wang, Anastassia Ailamaki, Christos Faloutsos, Best student paper award, Performance 2002 (IFIP Int. Symp. on Computer Performance Modeling, Measurement and Evaluation)
111. Novelty and redundancy detection in adaptive filtering
     Yi Zhang, Jamie Callan, Thomas Minka, (SIGIR 2002)
112. The "DGX" Distribution for Mining Massive, Skewed Data
     Zhiqiang Bi, Christos Faloutsos and Flip Korn, Runner up for "best paper", (KDD 2001)
113. Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
     Justin A. Boyan & Andrew W. Moore, (AAAI 1998)
114. Translingual Information Retrieval: A Comparative Evaluation
     Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee, (IJCAI 1997)
115. A Knowledge-Based Approach to VLSI CAD
     L. Steinberg and T. Mitchell, Best Paper Award, Proceedings of the 21st Design Automation Conference, IEEE and ACM, 1984

Research Awards

1. Neural Architecture Search with Bayesian Optimisation and Optimal Transport
   K. Kandasamy, W. Neiswanger, J. Schneider, B. Poczos, and E. P. Xing
   Nvidia Pioneering Research Award, NeurIPS 2018
   

2.  Structured Generative Adversarial Networks
   H. Zhang, Z. Deng, X. Liang, L. Yang, S. Xu, J. Zhu, and E. P. Xing
   Nvidia Pioneering Research Award, NeurIPS 2017