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Hanxian Huang
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2020 – today
- 2024
- [j1]Hanxian Huang
, Tarique Siddiqui
Sibyl: Forecasting Time-Evolving Query Workloads. Proc. ACM Manag. Data 2(1): 53:1-53:27 (2024) - [c9]Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding:
Learning to Maximize Mutual Information for Chain-of-Thought Distillation. ACL (Findings) 2024: 6857-6868 - [c8]Hanxian Huang
Fasor: A Fast Tensor Program Optimization Framework for Efficient DNN Deployment. ICS 2024: 498-510 - [c7]Hanxian Huang
Multi-modal Learning for WebAssembly Reverse Engineering. ISSTA 2024: 453-465 - [i6]Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian:
Sibyl: Forecasting Time-Evolving Query Workloads. CoRR abs/2401.03723 (2024) - [i5]Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding:
Learning to Maximize Mutual Information for Chain-of-Thought Distillation. CoRR abs/2403.03348 (2024) - [i4]Zhongming Yu, Genghan Zhang, Hanxian Huang, Xin Chen, Jishen Zhao:
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU. CoRR abs/2404.03019 (2024) - [i3]Hanxian Huang, Jishen Zhao:
Multi-modal Learning for WebAssembly Reverse Engineering. CoRR abs/2404.03171 (2024) - [i2]Hanxian Huang, Zhenghan Lin, Zixuan Wang, Xin Chen, Ke Ding, Jishen Zhao:
Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction. CoRR abs/2406.00115 (2024) - [i1]Yun Joon Soh, Hanxian Huang, Yuandong Tian, Jishen Zhao:
You Only Use Reactive Attention Slice For Long Context Retrieval. CoRR abs/2409.13695 (2024) - 2023
- [c6]Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao:
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. ICCV 2023: 17107-17117 - 2022
- [c5]Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather:
Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition. PACT 2022: 291-303 - 2021
- [c4]Cheng Fu, Hanxian Huang, Xinyun Chen, Yuandong Tian, Jishen Zhao:
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing. ICML 2021: 3469-3479 - [c3]Hanxian Huang, Zixuan Wang, Juno Kim, Steven Swanson, Jishen Zhao:
Ayudante: A Deep Reinforcement Learning Approach to Assist Persistent Memory Programming. USENIX ATC 2021: 789-804
2010 – 2019
- 2018
- [c2]Zhuolun He, Hanxian Huang, Ming Jiang, Yuanchao Bai, Guojie Luo:
FPGA-Based Real-Time Super-Resolution System for Ultra High Definition Videos. FCCM 2018: 181-188 - [c1]Wentai Zhang
Adaptive-precision framework for SGD using deep Q-learning. ICCAD 2018: 35
Coauthor Index
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