Ting Cao - RankMe

97 papers A* 15A 15B 3Misc 4Journal 51Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BitDecoding: Unlocking Tensor Cores for Long-Context LLMs with Low-Bit KV Cache. HPCA Dayou Du, Shijie Cao, Jianyi Cheng, Luo Mai, Ting Cao, Mao Yang
2026	J	`jnl`	Efficient Remote Prefix Fetching with GPU-native Media ASICs. CoRR Liang Mi, Weijun Wang, Jinghan Chen, Ting Cao, Haipeng Dai, Yunxin Liu
2026	J	`jnl`	Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding. CoRR Yikai Zheng, Xin Ding, Yifan Yang, Shiqi Jiang, Hao Wu, Qianxi Zhang, Weijun Wang, Ting Cao, Yunxin Liu
2026	A	`conf`	Scaling LLM Test-Time Compute with Mobile NPU on Smartphones. EuroSys Zixu Hao, Jianyu Wei, Tuowei Wang, Minxing Huang, Huiqiang Jiang, Shiqi Jiang, Ting Cao, Ju Ren
2025	J	`jnl`	AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation. CoRR 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
2025	J	`jnl`	Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment. CoRR Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
2025	J	`jnl`	Anatomizing Deep Learning Inference in Web Browsers. ACM Trans. Softw. Eng. Methodol. Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
2025	Misc	`conf`	Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment. SenSys Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu
2025	J	`jnl`	BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache. CoRR Dayou Du, Shijie Cao, Jianyi Cheng, Ting Cao, Mao Yang
2025	A*	`conf`	Demo: EdgeMind-OS: A Plug-and-Play Embodied Intelligence System for Real-Time On-Device Deployment. MobiCom Xin Ding, Jianyu Wei, Fucheng Jia, Liang Mi, Ruofei Ju, Xianye Wang, Yikai Zheng, Ziming Zhang, Weijun Wang, Shiqi Jiang, Yunxin Liu, Ting Cao
2025	J	`jnl`	Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models. CoRR Xin Ding, Shijie Cao, Ting Cao, Zhibo Chen
2025	J	`jnl`	Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices. IEEE Trans. Mob. Comput. Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
2025	J	`jnl`	Empowering Agentic Video Analytics Systems with Video Language Models. CoRR Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu
2025	B	`conf`	FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units. PPoPP Haozhi Han, Kun Li, Wei Cui, Donglin Bai, Yiwei Zhang, Liang Yuan, Yifeng Chen, Yunquan Zhang, Ting Cao, Mao Yang
2025	—	`conf`	JENGA: Enhancing LLM Long-Context Fine-tuning with Contextual Token Sparsity. USENIX ATC Tuowei Wang, Xingyu Chen, Kun Li, Ting Cao, Ju Ren, Yaoxue Zhang
2025	B	`conf`	Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers. PPoPP Yiwei Zhang, Kun Li, Liang Yuan, Haozhi Han, Yunquan Zhang, Ting Cao, Mao Yang
2025	A*	`conf`	LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference. ISCA Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang
2025	A*	`conf`	LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. HPCA Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Liu, Mohamed M. Sabry Aly, Mao Yang
2025	J	`jnl`	LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. CoRR Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Li, Mohamed M. Sabry, Mao Yang
2025	J	`jnl`	LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning. CoRR Tuowei Wang, Xingyu Chen, Kun Li, Ting Cao, Ju Ren, Yaoxue Zhang
2025	J	`jnl`	Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity. CoRR Tuowei Wang, Kun Li, Zixu Hao, Donglin Bai, Ju Ren, Yaoxue Zhang, Ting Cao, Mao Yang
2025	J	`jnl`	MVDRAM: Enabling GeMV Execution in Unmodified DRAM for Low-Bit LLM Acceleration. CoRR Tatsuya Kubo, Daichi Tokuda, Tomoya Nagatani, Masayuki Usui, Lei Qu, Ting Cao, Shinya Takamaeda-Yamazaki
2025	A	`conf`	Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators. SC Haozhi Han, Kun Li, Fusong Ju, Qi Li, Hong An, Yifeng Chen, Yunquan Zhang, Ting Cao, Mao Yang
2025	—	`conf`	Neuralink: Fast on-Device LLM Inference with Neuron Co-Activation Linking. ASPLOS (3) Tuowei Wang, Ruwen Fan, Minxing Huang, Zixu Hao, Kun Li, Ting Cao, Youyou Lu, Yaoxue Zhang, Ju Ren
2025	J	`jnl`	PUDTune: Multi-Level Charging for High-Precision Calibration in Processing-Using-DRAM. IEEE Comput. Archit. Lett. Tatsuya Kubo, Daichi Tokuda, Lei Qu, Ting Cao, Shinya Takamaeda-Yamazaki
2025	J	`jnl`	PUDTune: Multi-Level Charging for High-Precision Calibration in Processing-Using-DRAM. CoRR Tatsuya Kubo, Daichi Tokuda, Lei Qu, Ting Cao, Shinya Takamaeda-Yamazaki
2025	J	`jnl`	ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration. CoRR Gaole Dai, Shiqi Jiang, Ting Cao, Yuqing Yang, Yuanchun Li, Rui Tan, Mo Li, Lili Qiu
2025	J	`jnl`	Scaling LLM Test-Time Compute with Mobile NPU on Smartphones. CoRR Zixu Hao, Jianyu Wei, Tuowei Wang, Minxing Huang, Huiqiang Jiang, Shiqi Jiang, Ting Cao, Ju Ren
2025	J	`jnl`	Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash. CoRR Fucheng Jia, Zewen Wu, Shiqi Jiang, Huiqiang Jiang, Qianxi Zhang, Yuqing Yang, Yunxin Liu, Ju Ren, Deyu Zhang, Ting Cao
2025	J	`jnl`	SeerAttention-R: Sparse Attention Adaptation for Long Reasoning. CoRR 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
2025	A	`conf`	SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation. SC Qi Li, Kun Li, Haozhi Han, Liang Yuan, Yunquan Zhang, Yifeng Chen, Junshi Chen, Hong An, Ting Cao, Mao Yang
2025	J	`jnl`	SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation. CoRR Qi Li, Kun Li, Haozhi Han, Liang Yuan, Junshi Chen, Yunquan Zhang, Yifeng Chen, Hong An, Ting Cao, Mao Yang
2025	J	`jnl`	StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition. CoRR Xin Ding, Hao Wu, Yifan Yang, Shiqi Jiang, Donglin Bai, Zhibo Chen, Ting Cao
2025	J	`jnl`	SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale. CoRR Qi Li, Kun Li, Haozhi Han, Honghui Shang, Xinfu He, Yunquan Zhang, Hong An, Ting Cao, Mao Yang
2025	A	`conf`	T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. EuroSys Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang
2025	J	`jnl`	T-MAN: Enabling End-to-End Low-Bit LLM Inference on NPUs via Unified Table Lookup. CoRR Jianyu Wei, Qingtao Li, Shijie Cao, Lingxiao Ma, Zixu Hao, Yanyong Zhang, Xiaoyan Hu, Ting Cao
2025	J	`jnl`	Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning. CoRR 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
2025	J	`jnl`	Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. CoRR 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
2025	J	`jnl`	Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. Trans. Mach. Learn. Res. 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
2024	—	`conf`	AFPQ: Asymmetric Floating Point Quantization for LLMs. ACL (Findings) Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu
2024	J	`jnl`	Advancing Multi-Modal Sensing Through Expandable Modality Alignment. CoRR Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu
2024	—	`conf`	BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. ACL (1) Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu
2024	J	`jnl`	BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. CoRR Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu
2024	B	`conf`	ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores. PPoPP Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang
2024	A	`conf`	Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. MobiSys 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
2024	J	`jnl`	Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance. CoRR Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu
2024	A*	`conf`	FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices. MobiCom Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu
2024	J	`jnl`	HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception. IEEE Trans. Mob. Comput. Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Youngki Lee, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu
2024	—	`conf`	Hybrid SLM and LLM for Edge-Cloud Collaborative Inference. EdgeFM@MobiSys Zixu Hao, Huiqiang Jiang, Shiqi Jiang, Ju Ren, Ting Cao
2024	A	`conf`	Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. ICME Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu
2024	J	`jnl`	LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. CoRR Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang
2024	A*	`conf`	Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
2024	Misc	`conf`	LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search. NSDI Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
2024	A	`conf`	LoRAStencil: Low-Rank Adaptation of Stencil Computation on Tensor Cores. SC Yiwei Zhang, Kun Li, Liang Yuan, Jiawen Cheng, Yunquan Zhang, Ting Cao, Mao Yang
2024	A	`conf`	Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity. SC Tuowei Wang, Kun Li, Zixu Hao, Donglin Bai, Ju Ren, Yaoxue Zhang, Ting Cao, Mao Yang
2024	J	`jnl`	Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling. CoRR Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu
2024	J	`jnl`	Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation. CoRR Tuowei Wang, Kun Li, Donglin Bai, Fusong Ju, Leo Xia, Ting Cao, Ju Ren, Yaoxue Zhang, Mao Yang
2024	—	`conf`	PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. ASPLOS (2) Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
2024	A	`conf`	Poster: Design of Elastic Deep Neural Network Candidate Spaces for Inference on Diverse Devices. MobiSys Jeongho Won, Ting Cao, Huiqiang Jiang, Junehwa Song
2024	A*	`conf`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. ISCA Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2024	J	`jnl`	Ripple: Accelerating LLM Inference on Smartphones with Correlation-Aware Neuron Management. CoRR Tuowei Wang, Ruwen Fan, Minxing Huang, Zixu Hao, Kun Li, Ting Cao, Youyou Lu, Yaoxue Zhang, Ju Ren
2024	J	`jnl`	SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs. CoRR Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang
2024	J	`jnl`	T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. CoRR Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang
2024	A*	`conf`	VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. EMNLP Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
2024	J	`jnl`	VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. CoRR Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
2023	J	`jnl`	AFPQ: Asymmetric Floating Point Quantization for LLMs. CoRR Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu
2023	J	`jnl`	Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. CoRR Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang
2023	A	`conf`	Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	J	`jnl`	Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	A	`conf`	Boosting DNN Cold Inference on Edge Devices. MobiSys Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
2023	A*	`conf`	Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. KDD 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
2023	J	`jnl`	Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. CoRR 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
2023	—	`conf`	Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
2023	A*	`conf`	ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. ICCV Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
2023	J	`jnl`	ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. CoRR Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
2023	J	`jnl`	Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing. CoRR Kun Li, Zhichun Li, Yuetao Chen, Zixuan Wang, Yiwei Zhang, Liang Yuan, Haipeng Jia, Yunquan Zhang, Ting Cao, Mao Yang
2023	J	`jnl`	Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu
2023	A*	`conf`	LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
2023	J	`jnl`	LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
2023	A	`conf`	NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. MobiSys Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu
2023	J	`jnl`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. CoRR Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2023	A*	`conf`	SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. ICCV Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
2023	J	`jnl`	SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. CoRR Li Lyna Zhang, Xudong Wang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
2022	A	`conf`	CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices. MobiSys Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang
2022	Misc	`conf`	Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL. SenSys Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang
2022	A*	`conf`	MobiDepth: real-time depth estimation using on-device dual cameras. MobiCom Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu
2022	A*	`conf`	Romou: rapidly generate high-performance tensor kernels for mobile GPUs. MobiCom Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu
2022	A	`conf`	SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CIKM Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
2022	J	`jnl`	SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CoRR Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
2022	Misc	`conf`	Turbo: Opportunistic Enhancement for Edge Video Analytics. SenSys Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu
2022	J	`jnl`	Turbo: Opportunistic Enhancement for Edge Video Analytics. CoRR Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu
2022	J	`jnl`	Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices. CoRR Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
2021	A*	`conf`	AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs. MobiCom Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu
2021	—	`conf`	To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. MLSys Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu
2021	J	`jnl`	nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices. GetMobile Mob. Comput. Commun. Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu
2021	A	`conf`	nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. MobiSys Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
2020	—	`conf`	Profiling and optimizing deep learning inference on mobile GPUs. APSys Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu