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2020 – today
- 2024
[j6]Mohammed Ridha Nsaif
, Gergely Kovásznai, Ali Malik, Ruairí de Fréin:
SM-FPLF: Link-State Prediction for Software-Defined DCN Power Optimization. IEEE Access 12: 79496-79518 (2024)- [c26]Ali Malik, Stephen Mayhew, Christopher Piech, Klinton Bicknell:
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation. ACL (Findings) 2024: 15670-15693 - [c25]Ali Malik, Juliette Woodrow, Chao Wang, Chris Piech:
TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1: 1 Help in Massive Online Courses. ITiCSE (1) 2024 - [c24]Ali Malik, Juliette Woodrow, Chris Piech:
Learners Teaching Novices: An Uplifting Alternative Assessment. SIGCSE (1) 2024: 785-791 - [c23]Juliette Woodrow, Ali Malik, Chris Piech:
AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style Feedback in a Global Course. SIGCSE (1) 2024: 1442-1448 - [i14]Ali Malik, Juliette Woodrow, Chris Piech:
Learners Teaching Novices: An Uplifting Alternative Assessment. CoRR abs/2403.14971 (2024) - [i13]Juliette Woodrow, Ali Malik, Chris Piech:
AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style Feedback in a Global Course. CoRR abs/2403.14986 (2024) - [i12]Ali Malik, Juliette Woodrow, Chao Wang, Chris Piech:
TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1: 1 Help in Massive Online Courses. CoRR abs/2404.11918 (2024) - [i11]Ali Malik, Stephen Mayhew, Chris Piech, Klinton Bicknell:
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation. CoRR abs/2406.03030 (2024) - [i10]Allen Nie, Yash Chandak, Miroslav Suzara, Ali Malik, Juliette Woodrow, Matt Peng, Mehran Sahami, Emma Brunskill, Chris Piech:
The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances. CoRR abs/2407.09975 (2024) - 2023
- [j5]Ali Malik, Ruairí de Fréin:
Graph Modeling for OpenFlow Switch Monitoring. IEEE Access 11: 84543-84553 (2023) - [j4]Muntadher Sallal, Ruairí de Fréin, Ali Malik:
PVPBC: Privacy and Verifiability Preserving E-Voting Based on Permissioned Blockchain. Future Internet 15(4): 121 (2023) - [c22]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Lifting Uniform Learners via Distributional Decomposition. STOC 2023: 1755-1767 - [i9]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Lifting uniform learners via distributional decomposition. CoRR abs/2303.16208 (2023) - 2022
- [j3]Muntadher Sallal, Ruairí de Fréin, Ali Malik, Benjamin Aziz:
An empirical comparison of the security and performance characteristics of topology formation algorithms for Bitcoin networks. Array 15: 100221 (2022) - [c21]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
On the power of adaptivity in statistical adversaries. COLT 2022: 5030-5061 - [c20]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Popular decision tree algorithms are provably noise tolerant. ICML 2022: 2091-2106 - [i8]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Popular decision tree algorithms are provably noise tolerant. CoRR abs/2206.08899 (2022) - 2021
- [c19]Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah D. Goodman, Chris Piech:
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems. EDM 2021 - [c18]Hasanen Alyasiri, John A. Clark, Ali Malik, Ruairí de Fréin:
Grammatical Evolution for Detecting Cyberattacks in Internet of Things Environments. ICCCN 2021: 1-6 - [c17]Ali Malik, Ruairí de Fréin, Chih-Heng Ke, Hasanen Alyasiri, Obinna Izima:
Bayesian Adaptive Path Allocation Techniques for Intra-Datacenter Workloads. ICCCN 2021: 1-8 - [c16]Obinna Izima, Ruairí de Fréin, Ali Malik:
Codec-Aware Video Delivery Over SDNs. IM 2021: 732-733 - [c15]Ruairí de Fréin, Obinna Izima, Ali Malik:
Detecting Network State in the Presence of Varying Levels of Congestion. MLSP 2021: 1-6 - [c14]Christopher Piech, Ali Malik, Kylie Jue, Mehran Sahami:
Code in Place: Online Section Leading for Scalable Human-Centered Learning. SIGCSE 2021: 973-979 - [i7]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
On the power of adaptivity in statistical adversaries. CoRR abs/2111.10352 (2021) - 2020
- [j2]Ali Malik, Benjamin Aziz, Mo Adda, Chih-Heng Ke:
Smart routing: Towards proactive fault handling of software-defined networks. Comput. Networks 170: 107104 (2020) - [c13]Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin:
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response. AAAI 2020: 471-479 - [c12]Mohammed Al-Zeyadi, Javier Andreu-Perez, Hani Hagras, Chris Royce, Darren Smith, Piotr Rzonsowski, Ali Malik:
Deep Learning Towards Intelligent Vehicle Fault Diagnosis. IJCNN 2020: 1-7 - [c11]Ali Malik, Ruairí de Fréin:
A Proactive-Restoration Technique for SDNs. ISCC 2020: 1-6 - [c10]Ali Malik, Ruairí de Fréin:
SLA-Aware Routing Strategy for Multi-Tenant Software-Defined Networks. ISCC 2020: 1-7
2010 – 2019
- 2019
- [c9]Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke:
Using Latent Variable Models to Observe Academic Pathways. EDM 2019 - [c8]Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon:
Calibrated Model-Based Deep Reinforcement Learning. ICML 2019: 4314-4323 - [i6]Ali Malik, Benjamin Aziz, Mo Adda, Chih-Heng Ke:
Smart Routing: Towards Proactive Fault-Handling in Software-Defined Networks. CoRR abs/1904.00717 (2019) - [i5]Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, John Mitchell, Noah D. Goodman, Chris Piech:
Generative Grading: Neural Approximate Parsing for Automated Student Feedback. CoRR abs/1905.09916 (2019) - [i4]Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke:
Using Latent Variable Models to Observe Academic Pathways. CoRR abs/1905.13383 (2019) - [i3]Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin:
The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing. CoRR abs/1906.01811 (2019) - [i2]Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon:
Calibrated Model-Based Deep Reinforcement Learning. CoRR abs/1906.08312 (2019) - [i1]Ali Malik, Benjamin Aziz, Ali Al-Haj, Mo Adda:
Software-defined networks: A walkthrough guide from occurrence To data plane fault tolerance. PeerJ Prepr. 7: e27624 (2019) - 2018
- [c7]Ali Malik, Benjamin Aziz, Chih-Heng Ke:
THRIFTY: Towards High Reduction In Flow Table memorY. ICCSW 2018: 2:1-2:9 - [c6]Nick Parlante, Julie Zelenski, Ben Stephenson, Ali Malik, Phil Ventura, Michael Guerzhoy, David Reed, Josh Hug:
Nifty Assignments. SIGCSE 2018: 912-913 - 2017
- [j1]Ali Malik, Benjamin Aziz, Mo Adda, Chih-Heng Ke:
Optimisation Methods for Fast Restoration of Software-Defined Networks. IEEE Access 5: 16111-16123 (2017) - [c5]Ali Malik, Benjamin Aziz, Chih-Heng Ke, Han Liu, Mo Adda:
Virtual topology partitioning towards an efficient failure recovery of software defined networks. ICMLC 2017: 646-651 - [c4]Ali Malik, Benjamin Aziz, Mohamed Bader-El-Den:
Finding most reliable paths for software defined networks. IWCMC 2017: 1309-1314 - 2016
- [c3]Benjamin Aziz, Ali Malik, Jeyong Jung:
Check Your Blind Spot: A New Cyber-Security Metric for Measuring Incident Response Readiness. RISK 2016: 19-33
2000 – 2009
- 2009
- [c2]Richard Boateng, Ali Malik, Victor Mbarika:
Web 2.0 and Organizational Learning: Conceptualizing the Link. AMCIS 2009: 546 - 2006
- [c1]Ali Malik, Seok-Bum Ko:
A Study on the Floating-Point Adder in FPGAS. CCECE 2006: 86-89
Coauthor Index
aka: Christopher Piech
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last updated on 2024-09-26 00:59 CEST by the dblp team
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