Ting Cao

According to our database, Ting Cao authored at least 74 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning.

Chendong Wang, Donglin Bai, Yifan Yang, Xiao Jin, Anlan Zhang, Rui Wang, Shiqi Jiang, Yuqing Yang, Hao Wu, Qi Dai, Chong Luo, Ting Cao, Lili Qiu, Suman Banerjee

CoRR, October, 2025

Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices.

Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu

IEEE Trans. Mob. Comput., September, 2025

AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation.

Xin Ding, Jianyu Wei, Yifan Yang, Shiqi Jiang, Qianxi Zhang, Hao Wu, Fucheng Jia, Liang Mi, Yuxuan Yan, Weijun Wang, Yunxin Liu, Zhibo Chen, Ting Cao

CoRR, September, 2025

Scaling LLM Test-Time Compute with Mobile NPU on Smartphones.

Zixu Hao, Jianyu Wei, Tuowei Wang, Minxing Huang, Huiqiang Jiang, Shiqi Jiang, Ting Cao, Ju Ren

CoRR, September, 2025

ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration.

Gaole Dai, Shiqi Jiang, Ting Cao, Yuqing Yang, Yuanchun Li, Rui Tan, Mo Li, Lili Qiu

CoRR, September, 2025

SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation.

Qi Li, Kun Li, Haozhi Han, Liang Yuan, Junshi Chen, Yunquan Zhang, Yifeng Chen, Hong An, Ting Cao, Mao Yang

CoRR, June, 2025

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning.

Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia, Yu Cheng, Lei Wang, Lingxiao Ma, Yutao Sun, Tianzhu Ye, Li Dong, Hayden Kwok-Hay So, Yu Hua, Ting Cao, Fan Yang, Mao Yang

CoRR, June, 2025

SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale.

Qi Li, Kun Li, Haozhi Han, Honghui Shang, Xinfu He, Yunquan Zhang, Hong An, Ting Cao, Mao Yang

CoRR, May, 2025

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM.

Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu

CoRR, May, 2025

Empowering Agentic Video Analytics Systems with Video Language Models.

Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu

CoRR, May, 2025

Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash.

Fucheng Jia, Zewen Wu, Shiqi Jiang, Huiqiang Jiang, Qianxi Zhang, Yuqing Yang, Yunxin Liu, Ju Ren, Deyu Zhang, Ting Cao

CoRR, April, 2025

MVDRAM: Enabling GeMV Execution in Unmodified DRAM for Low-Bit LLM Acceleration.

Tatsuya Kubo, Daichi Tokuda, Tomoya Nagatani, Masayuki Usui, Lei Qu, Ting Cao, Shinya Takamaeda-Yamazaki

CoRR, March, 2025

BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache.

Dayou Du, Shijie Cao, Jianyi Cheng, Ting Cao, Mao Yang

CoRR, March, 2025

Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment.

Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu

CoRR, March, 2025

StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition.

Xin Ding, Hao Wu, Yifan Yang, Shiqi Jiang, Donglin Bai, Zhibo Chen, Ting Cao

CoRR, March, 2025

Anatomizing Deep Learning Inference in Web Browsers.

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu

ACM Trans. Softw. Eng. Methodol., February, 2025

LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator.

Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Li, Mohamed M. Sabry, Mao Yang

CoRR, January, 2025

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning.

Tuowei Wang, Xingyu Chen, Kun Li, Ting Cao, Ju Ren, Yaoxue Zhang

CoRR, January, 2025

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models.

Xin Ding, Shijie Cao, Ting Cao, Zhibo Chen

CoRR, January, 2025

PUDTune: Multi-Level Charging for High-Precision Calibration in Processing-Using-DRAM.

Tatsuya Kubo, Daichi Tokuda, Lei Qu, Ting Cao, Shinya Takamaeda-Yamazaki

IEEE Comput. Archit. Lett., 2025

JENGA: Enhancing LLM Long-Context Fine-tuning with Contextual Token Sparsity.

Tuowei Wang, Xingyu Chen, Kun Li, Ting Cao, Ju Ren, Yaoxue Zhang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment.

Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers.

Yiwei Zhang, Kun Li, Liang Yuan, Haozhi Han, Yunquan Zhang, Ting Cao, Mao Yang

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units.

Haozhi Han, Kun Li, Wei Cui, Donglin Bai, Yiwei Zhang, Liang Yuan, Yifeng Chen, Yunquan Zhang, Ting Cao, Mao Yang

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator.

Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Liu, Mohamed M. Sabry Aly, Mao Yang

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge.

Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang

Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024

HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception.

Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Youngki Lee, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu

IEEE Trans. Mob. Comput., May, 2024

Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation.

Tuowei Wang, Kun Li, Donglin Bai, Fusong Ju, Leo Xia, Ting Cao, Ju Ren, Yaoxue Zhang, Mao Yang

CoRR, 2024

Ripple: Accelerating LLM Inference on Smartphones with Correlation-Aware Neuron Management.

Tuowei Wang, Ruwen Fan, Minxing Huang, Zixu Hao, Kun Li, Ting Cao, Youyou Lu, Yaoxue Zhang, Ju Ren

CoRR, 2024

Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling.

Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu

CoRR, 2024

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang

CoRR, 2024

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

CoRR, 2024

Advancing Multi-Modal Sensing Through Expandable Modality Alignment.

Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu

CoRR, 2024

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance.

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu

CoRR, 2024

LoRAStencil: Low-Rank Adaptation of Stencil Computation on Tensor Cores.

Yiwei Zhang, Kun Li, Liang Yuan, Jiawen Cheng, Yunquan Zhang, Ting Cao, Mao Yang

Proceedings of the International Conference for High Performance Computing, 2024

Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity.

Tuowei Wang, Kun Li, Zixu Hao, Donglin Bai, Ju Ren, Yaoxue Zhang, Ting Cao, Mao Yang

Proceedings of the International Conference for High Performance Computing, 2024

ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores.

Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.

Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search.

Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Poster: Design of Elastic Deep Neural Network Candidate Spaces for Inference on Diverse Devices.

Jeongho Won, Ting Cao, Huiqiang Jiang, Junehwa Song

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices.

Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference.

Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models.

Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hybrid SLM and LLM for Edge-Cloud Collaborative Inference.

Zixu Hao, Huiqiang Jiang, Shiqi Jiang, Ju Ren, Ting Cao

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization.

Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

AFPQ: Asymmetric Floating Point Quantization for LLMs.

Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation.

Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

CoRR, 2023

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu

CoRR, 2023

Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing.

Kun Li, Zhichun Li, Yuetao Chen, Zixuan Wang, Yiwei Zhang, Liang Yuan, Haipeng Jia, Yunquan Zhang, Ting Cao, Mao Yang

CoRR, 2023

LUT-NN: Towards Unified Neural Network Inference by Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

CoRR, 2023

Boosting DNN Cold Inference on Edge Devices.

Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors.

Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.

Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.

Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference.

Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices.

Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training.

Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices.

Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

CoRR, 2022

Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL.

Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Turbo: Opportunistic Enhancement for Edge Video Analytics.

Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices.

Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

MobiDepth: real-time depth estimation using on-device dual cameras.

Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Romou: rapidly generate high-performance tensor kernels for mobile GPUs.

Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance.

Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu

GetMobile Mob. Comput. Commun., 2021

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu

Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs.

Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks.

Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

Profiling and optimizing deep learning inference on mobile GPUs.

Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu

Proceedings of the APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, 2020