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Sadaf Khan
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2020 – today
- 2024
- [j4]Farrukh Jamal, Muhammad Ijaz, Ghulam Mustafa, Sadaf Khan
, Shakaiba Shafiq:
On the theory of order statistics of the flexible Lomax distribution. Oper. Res. Decis. 34(2) (2024) - [c6]Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu:
DeepSeq: Deep Sequential Circuit Learning. DATE 2024: 1-2 - [i11]Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou:
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR abs/2403.07257 (2024) - [i10]Zhengyuan Shi, Tiebing Tang, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
EDA-Driven Preprocessing for SAT Solving. CoRR abs/2403.19446 (2024) - [i9]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i8]Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min Li, Qiang Xu:
DeepGate3: Towards Scalable Circuit Representation Learning. CoRR abs/2407.11095 (2024) - [i7]Sadaf Khan, Zhengyuan Shi, Ziyang Zheng, Min Li, Qiang Xu:
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations. CoRR abs/2411.00530 (2024) - 2023
- [j3]Sadaf Khan
Analysis of COVID-19 and cancer data using new half-logistic generated family of distributions. Oper. Res. Decis. 33(4) (2023) - [c5]Min Li, Zhengyuan Shi, Qiuxia Lai
On EDA-Driven Learning for SAT Solving. DAC 2023: 1-6 - [c4]Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformer-Based UNSAT Core Learning. ICCAD 2023: 1-4 - [c3]Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
DeepGate2: Functionality-Aware Circuit Representation Learning. ICCAD 2023: 1-9 - [i6]Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu:
DeepSeq: Deep Sequential Circuit Learning. CoRR abs/2302.13608 (2023) - [i5]Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
DeepGate2: Functionality-Aware Circuit Representation Learning. CoRR abs/2305.16373 (2023) - 2022
- [j2]Ibrahim Elbatal, Sadaf Khan
A New Family of Lifetime Models: Theoretical Developments with Applications in Biomedical and Environmental Data. Axioms 11(8): 361 (2022) - [c2]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Huang Yu, Qiang Xu
DeepGate: learning neural representations of logic gates. DAC 2022: 667-672 - [c1]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu:
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. ITC 2022: 194-203 - [i4]Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Qiang Xu
DeepSAT: An EDA-Driven Learning Framework for SAT. CoRR abs/2205.13745 (2022) - [i3]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. CoRR abs/2206.06975 (2022) - [i2]Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
SATformer: Transformers for SAT Solving. CoRR abs/2209.00953 (2022) - 2021
- [j1]Sadaf Khan
An Alternate Generalized Odd Generalized Exponential Family with Applications to Premium Data. Symmetry 13(11): 2064 (2021) - [i1]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Yu Huang, Qiang Xu:
Representation Learning of Logic Circuits. CoRR abs/2111.14616 (2021)
Coauthor Index
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