Yonggan Fu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
15
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PROBE: PROcess-Based BEnchmark for Hallucination Detection. | Yu Zhang, Peter Belcak, Shizhe Diao, Yonggan Fu, Shaona Ghosh, Morteza Mardani, Eileen Margaret Peters Long, Bei Yu, Pavlo Molchanov |
| 2026 | EACL | Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute. | Hyewon Suh, Chaojian Li, Cheng-Jhih Shih, Zheng Wang, Kejing Xia, Yonggan Fu, Yingyan Celine Lin |
| 2025 | ACL | LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering. | Zhifan Ye, Zheng Wang, Kejing Xia, Jihoon Hong, Leshu Li, Lexington Allen Whalen, Cheng Wan, Yonggan Fu, Yingyan Celine Lin, Souvik Kundu |
| 2025 | HPCA | Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR. | Zhifan Ye, Yonggan Fu, Jingqun Zhang, Leshu Li, Yongan Zhang, Sixu Li, Cheng Wan, Chenxi Wan, Chaojian Li, Sreemanth Prathipati, Yingyan Celine Lin |
| 2025 | ICCV | Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment. | Zhenbang Du, Yonggan Fu, Lifu Wang, Jiayi Qian, Xiao Luo, Yingyan (Celine) Lin |
| 2025 | ICLR | Hymba: A Hybrid-head Architecture for Small Language Models. | Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov |
| 2025 | ICLR | LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement. | Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin |
| 2025 | ICML | LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. | Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin |
| 2025 | MICRO | ORCHES: Orchestrated Test-Time-Compute-based LLM Reasoning on Collaborative GPU-PIM HEterogeneous System. | Sixu Li, Yuzhou Chen, Chaojian Li, Yonggan Fu, Zheng Wang, Zhongzhi Yu, Haoran You, Zhifan Ye, Wei Zhou, Yongan Zhang, Yingyan (Celine) Lin |
| 2024 | ECCV | Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields. | Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin |
| 2024 | ICML | Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. | Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin |
| 2024 | ISPASS | Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. | Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury |
| 2023 | CVPR | Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. | Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin |
| 2023 | CVPR | Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. | Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Celine Lin |
| 2023 | DAC | Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. | Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin |
| 2023 | DAC | NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. | Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin |
| 2023 | ICCAD | GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. | Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin |
| 2023 | ICML | NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. | Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin |
| 2023 | ICML | Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. | Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin |
| 2023 | ISCA | Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. | Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin |
| 2022 | AAAI | Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets. | Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin |
| 2022 | AAAI | MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. | Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin |
| 2022 | DAC | Contrastive quant: quantization makes stronger contrastive learning. | Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin |
| 2022 | ICLR | Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? | Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin |
| 2022 | ICML | DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. | Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin |
| 2022 | ICML | ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. | Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin |
| 2022 | ISCA | EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. | Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin |
| 2021 | DAC | InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. | Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin |
| 2021 | DAC | A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. | Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin |
| 2021 | ICCAD | O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. | Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin |
| 2021 | ICCAD | G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. | Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin |
| 2021 | ICCV | SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. | Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin |
| 2021 | ICLR | CPT: Efficient Deep Neural Network Training via Cyclic Precision. | Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin |
| 2021 | ICLR | HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. | Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin |
| 2021 | ICML | Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. | Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin |
| 2021 | ICML | Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. | Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin |
| 2021 | ISLPED | DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. | Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin |
| 2021 | MICRO | 2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. | Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin |
| 2020 | AAAI | Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. | Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin |
| 2020 | ICLR | Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. | Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin |
| 2020 | ICML | AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. | Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang |
| 2020 | ISCA | SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. | Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin |