Fair energy resource allocation by minority game algorithm for smart buildings. - Chun Zhang; Wei Wu; Hantao Huang; Hao Yu 001 (DATE, 2012)

Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication. - Hantao Huang; Sai Manoj Pudukotai Dinakarrao; Dongjun Xu; Hao Yu 001; Zhigang Hao (ICCAD, 2014)

An energy-efficient 2.5D through-silicon interposer I/O with self-adaptive adjustment of output-voltage swing. - Dongjun Xu; Sai Manoj Pudukotai Dinakarrao; Hantao Huang; Ningmei Yu; Hao Yu 001 (ISLPED, 2014)

An energy-efficient non-volatile in-memory accelerator for sparse-representation based face recognition. - Yuhao Wang 002; Hantao Huang; Leibin Ni; Hao Yu 001; Mei Yan; Chuliang Weng; Wei Yang; Junfeng Zhao 003 (DATE, 2015)

Smart I/Os: a data-pattern aware 2.5D interconnect with space-time multiplexing. - Sai Manoj P. D.; Kanwen Wang; Hantao Huang; Hao Yu 001 (SLIP, 2015)

A 3D multi-layer CMOS-RRAM accelerator for neural network. - Hantao Huang; Leibin Ni; Yuhao Wang 002; Hao Yu 001; Zongwei Wang 001; Yimao Cai; Ru Huang 001 (3DIC, 2016)

Distributed-neuron-network based machine learning on smart-gateway network towards real-time indoor data analytics. - Hantao Huang; Yuehua Cai; Hao Yu 001 (DATE, 2016)

On-line machine learning accelerator on digital RRAM-crossbar. - Leibin Ni; Hantao Huang; Hao Yu 001 (ISCAS, 2016)

Low-power and real-time computer vision on-chip. - Wei Pang; Hantao Huang; Fengwei An; Hao Yu 001 (ISOCC, 2016)

A Compressive-sensing based Testing Vehicle for 3D TSV Pre-bond and Post-bond Testing Data. - Hantao Huang; Hao Yu 001; Cheng Zhuo; Fengbo Ren (ISPD, 2016)

A memristor network with coupled oscillator and crossbar towards L2-norm based machine learning. - Leibin Ni; Hantao Huang; Hao Yu 001 (NANOARCH, 2016)

Distributed machine learning based smart-grid energy management with occupant cognition. - Hang Xu 001; Hantao Huang; Suleman Khalid Rai; Hao Yu 001 (SmartGridComm, 2016)

A Q-Learning Based Self-Adaptive I/O Communication for 2.5D Integrated Many-Core Microprocessor and Memory. - Sai Manoj P. D.; Hao Yu 001; Hantao Huang; Dongjun Xu (IEEE Trans. Computers, 2016)

A fast online sequential learning accelerator for IoT network intrusion detection: work-in-progress. - Hantao Huang; Suleman Khalid Rai; Wenye Liu; Hao Yu 001 (CODES+ISSS, 2017)

LTNN: An energy-efficient machine learning accelerator on 3D CMOS-RRAM for layer-wise tensorized neural network. - Hantao Huang; Leibin Ni; Hao Yu 001 (SoCC, 2017)

Distributed In-Memory Computing on Binary RRAM Crossbar. - Leibin Ni; Hantao Huang; Zichuan Liu; Rajiv V. Joshi; Hao Yu 001 (ACM J. Emerg. Technol. Comput. Syst., 2017)

A Multiagent Minority-Game-Based Demand-Response Management of Smart Buildings Toward Peak Load Reduction. - Hantao Huang; Yuehua Cai; Hang Xu 001; Hao Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Q-Learning-Based Voltage-Swing Tuning and Compensation for 2.5-D Memory-Logic Integration. - Dongjun Xu; Ningmei Yu; Hantao Huang; Sai Manoj Pudukotai Dinakarrao; Hao Yu 001 (IEEE Des. Test, 2018)

Distributed Machine Learning on Smart-Gateway Network toward Real-Time Smart-Grid Energy Management with Behavior Cognition. - Hantao Huang; Hang Xu 001; Yuehua Cai; Suleman Khalid Rai; Hao Yu 001 (ACM Trans. Design Autom. Electr. Syst., 2018)

LTNN: A Layerwise Tensorized Compression of Multilayer Neural Network. - Hantao Huang; Hao Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering. - Wei Han; Hantao Huang; Tao Han (COLING, 2020)

Answer-checking in Context: A Multi-modal Fully Attention Network for Visual Question Answering. - Hantao Huang; Tao Han; Wei Han; Deep Yap; Cheng-Ming Chiang (ICPR, 2020)

Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering. - Hantao Huang; Tao Han; Wei Han; Deep Yap; Cheng-Ming Chiang (CoRR, 2020)

TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization. - Wei Han; Hantao Huang; Xiaoxi Yu (BMVC, 2021)

Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation. - Po-Yu Chen; Hao Chen; Yi-Min Tsai; Hsien-Kai Kuo; Hantao Huang; Hsin-Hung Chen; Sheng-Hong Yan; Wei-Lun Ou; Chia-Ming Cheng (ICC, 2021)

Supervised Contrastive Learning for Accented Speech Recognition. - Tao Han; Hantao Huang; Ziang Yang; Wei Han (CoRR, 2021)

Energy-Efficient and Error-Resilient Cognitive I/O for 3-D-Integrated Manycore Microprocessors. - Sai Manoj Pudukotai Dinakarrao; Hantao Huang; Hao Yu 001 (IEEE Des. Test, 2021)

Adaptive Speech Quality Aware Complex Neural Network for Acoustic Echo Cancellation with Supervised Contrastive Learning. - Bozhong Liu; Xiaoxi Yu; Hantao Huang (CoRR, 2022)

Defect Detection in Computer Motherboard Assembly through Fusion of Multi-Scale Features and Attention Mechanisms. - Zhaoyang Li; Junying Chen; Hantao Huang; Xuze Dong (ICSAI, 2023)

A 29.12 TOPS/W and 1.13 TOPS/mm2 NAS-Optimized Mixed-Precision DNN Accelerator with Vector Split- and-Combination Systolic in 28nm CMOS. - Kai Li 024; Hantao Huang; Mingqiang Huang; Chenchen Ding; Longyang Lin; Liebing Ni; Hao Yu 001 (CICC, 2024)

APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models. - Ziyi Guan; Hantao Huang; Yupeng Su; Hong Huang; Ngai Wong 001; Hao Yu 001 (DAC, 2024)

An Isotropic Shift-Pointwise Network for Crossbar-Efficient Neural Network Design. - Ziyi Guan; Boyu Li; Yuan Ren; Muqun Niu; Hantao Huang; Graziano Chesi; Hao Yu 001; Ngai Wong 001 (DATE, 2024)

FMTT: Fused Multi-Head Transformer with Tensor-Compression for 3D Point Clouds Detection on Edge Devices. - Zikun Wei; Tingting Wang; Chenchen Ding; Bohan Wang; Ziyi Guan; Hantao Huang; Hao Yu 001 (DATE, 2024)

HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing. - Huaijin Wu; Lianqiang Li; Hantao Huang; Tu Yi; Jihang Zhang; Minghui Yu; Junchi Yan (ICLR, 2025)