Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems. - Lixue Xia; Mengyun Liu; Xuefei Ning; Krishnendu Chakrabarty; Yu Wang 002 (DAC, 2017)

Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA. - Jincheng Yu; Yiming Hu; Xuefei Ning; Jiantao Qiu; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FPT, 2017)

Real-time object detection towards high power efficiency. - Jincheng Yu; Kaiyuan Guo; Yiming Hu; Xuefei Ning; Jiantao Qiu; Huizi Mao; Song Yao; Tianqi Tang 001; Boxun Li; Yu Wang 002; Huazhong Yang (DATE, 2018)

RRAM Based Buffer Design for Energy Efficient CNN Accelerator. - Kaiyuan Guo; Jincheng Yu; Xuefei Ning; Yiming Hu; Yu Wang 002; Huazhong Yang (ISVLSI, 2018)

Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks. - Wenshuo Li; Jincheng Yu; Xuefei Ning; Pengjun Wang; Qi Wei 001; Yu Wang 002; Huazhong Yang (ISVLSI, 2018)

Nonparametric Topic Modeling with Neural Inference. - Xuefei Ning; Yin Zheng; Zhuxi Jiang; Yu Wang 002; Huazhong Yang; Junzhou Huang (CoRR, 2018)

Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA. - Jincheng Yu; Guangjun Ge; Yiming Hu; Xuefei Ning; Jiantao Qiu; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2018)

Compressed CNN Training with FPGA-based Accelerator. - Kaiyuan Guo; Shuang Liang 010; Jincheng Yu; Xuefei Ning; Wenshuo Li; Yu Wang 002; Huazhong Yang (FPGA, 2019)

Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems. - Lixue Xia; Mengyun Liu; Xuefei Ning; Krishnendu Chakrabarty; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

FTT-NAS: Discovering Fault-Tolerant Neural Architecture. - Wenshuo Li; Xuefei Ning; Guangjun Ge; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (ASP-DAC, 2020)

Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search. - Shulin Zeng; Hanbo Sun; Yu Xing; Xuefei Ning; Yi Shan; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (ASP-DAC, 2020)

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. - Xuefei Ning; Tianchen Zhao; Wenshuo Li; Peng Lei; Yu Wang 002; Huazhong Yang (ECCV (3), 2020)

A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. - Xuefei Ning; Yin Zheng; Tianchen Zhao; Yu Wang 002; Huazhong Yang (ECCV (13), 2020)

FTT-NAS: Discovering Fault-Tolerant Neural Architecture. - Xuefei Ning; Guangjun Ge; Wenshuo Li; Zhenhua Zhu; Yin Zheng; Xiaoming Chen 003; Zhen Gao 005; Yu Wang 002; Huazhong Yang (CoRR, 2020)

Towards Lower Bit Multiplication for Convolutional Neural Network Training. - Kai Zhong; Tianchen Zhao; Xuefei Ning; Shulin Zeng; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (CoRR, 2020)

Physical Adversarial Attack on Vehicle Detector in the Carla Simulator. - Tong Wu; Xuefei Ning; Wenshuo Li; Ranran Huang 001; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

A Surgery of the Neural Architecture Evaluators. - Xuefei Ning; Wenshuo Li; Zixuan Zhou; Tianchen Zhao; Yin Zheng; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. - Tianchen Zhao; Xuefei Ning; Songyi Yang; Shuang Liang 010; Peng Lei; Jianfei Chen; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

aw_nas: A Modularized and Extensible NAS framework. - Xuefei Ning; Changcheng Tang; Wenshuo Li; Songyi Yang; Tianchen Zhao; Niansong Zhang; Tianyi Lu; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. - Xuefei Ning; Junbo Zhao 001; Wenshuo Li; Tianchen Zhao; Huazhong Yang; Yu Wang 002 (CoRR, 2020)

Nonparametric Topic Modeling with Neural Inference. - Xuefei Ning; Yin Zheng; Zhuxi Jiang; Yu Wang 002; Huazhong Yang; Junzhou Huang; Peilin Zhao (Neurocomputing, 2020)

Efficient Computing Platform Design for Autonomous Driving Systems. - Shuang Liang 010; Changcheng Tang; Xuefei Ning; Shulin Zeng; Jincheng Yu; Yu Wang 002; Kaiyuan Guo; Diange Yang; Tianyi Lu; Huazhong Yang (ASP-DAC, 2021)

Evaluating Efficient Performance Estimators of Neural Architectures. - Xuefei Ning; Changcheng Tang; Wenshuo Li; Zixuan Zhou; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (NeurIPS, 2021)

FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning. - Minxue Tang; Xuefei Ning; Yitu Wang; Yu Wang 002; Yiran Chen 001 (CoRR, 2021)

Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness. - Yi Cai 003; Xuefei Ning; Huazhong Yang; Yu Wang 002 (CoRR, 2021)

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. - Nianhui Guo; Joseph Bethge; Haojin Yang; Kai Zhong; Xuefei Ning; Christoph Meinel; Yu Wang 002 (CoRR, 2021)

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward. - Weilin Liu; Ye Mu; Chao Yu 005; Xuefei Ning; Zhong Cao; Yi Wu 013; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (CoRR, 2021)

Machine Learning for Electronic Design Automation: A Survey. - Guyue Huang; Jingbo Hu; Yifan He 003; Jialong Liu; Mingyuan Ma; Zhaoyang Shen; Juejian Wu; Yuanfan Xu; Hengrui Zhang; Kai Zhong; Xuefei Ning; Yuzhe Ma; et al. (ACM Trans. Design Autom. Electr. Syst., 2021)

FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture. - Xuefei Ning; Guangjun Ge; Wenshuo Li; Zhenhua Zhu; Yin Zheng; Xiaoming Chen 003; Zhen Gao 005; Yu Wang 002; Huazhong Yang (ACM Trans. Design Autom. Electr. Syst., 2021)

Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. - Wenshuo Li; Xinghao Chen 001; Jinyu Bai; Xuefei Ning; Yunhe Wang 001 (CVPR Workshops, 2022)

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. - Minxue Tang; Xuefei Ning; Yitu Wang; Jingwei Sun 002; Yu Wang 002; Hai Helen Li; Yiran Chen 001 (CVPR, 2022)

CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. - Tianchen Zhao; Niansong Zhang; Xuefei Ning; He Wang 010; Li Yi 001; Yu Wang 002 (CVPR, 2022)

Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. - Hanbo Sun; Chenyu Wang; Zhenhua Zhu; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2022)

CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS. - Zixuan Zhou; Xuefei Ning; Yi Cai 003; Jiashu Han; Yiping Deng; Yuhan Dong; Huazhong Yang; Yu Wang 002 (ECCV (20), 2022)

Efficient Autonomous Driving System Design: From Software to Hardware. - Yu Wang 002; Shulin Zeng; Kaiyuan Guo; Xuefei Ning; Yali Zhao; Zhongyuan Qiu; Changcheng Tang; Shuang Liang 010; Huazhong Yang (ISVLSI, 2022)

TA-GATES: An Encoding Scheme for Neural Network Architectures. - Xuefei Ning; Zixuan Zhou; Junbo Zhao 001; Tianchen Zhao; Yiping Deng; Changcheng Tang; Shuang Liang 010; Huazhong Yang; Yu Wang 002 (NeurIPS, 2022)

Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective. - Cheng Liu 008; Zhen Gao 005; Siting Liu 001; Xuefei Ning; Huawei Li 001; Xiaowei Li 001 (VTS, 2022)

Fault-Tolerant Deep Learning: A Hierarchical Perspective. - Cheng Liu 008; Zhen Gao 005; Siting Liu 001; Xuefei Ning; Huawei Li 001; Xiaowei Li 001 (CoRR, 2022)

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. - Kai Zhong; Xuefei Ning; Guohao Dai; Zhenhua Zhu; Tianchen Zhao; Shulin Zeng; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. - Yi Cai 003; Xuefei Ning; Huazhong Yang; Yu Wang 002 (AAAI, 2023)

Memory-Oriented Structural Pruning for Efficient Image Restoration. - Xiangsheng Shi; Xuefei Ning; Lidong Guo; Tianchen Zhao; Enshu Liu; Yi Cai 003; Yuhan Dong; Huazhong Yang; Yu Wang 002 (AAAI, 2023)

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". - Junbo Zhao 001; Xuefei Ning; Enshu Liu; Binxin Ru; Zixuan Zhou; Tianchen Zhao; Chen Chen 007; Jiajin Zhang; Qingmin Liao; Yu Wang 002 (AAAI, 2023)

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. - Tianchen Zhao; Xuefei Ning; Ke Hong; Zhongyuan Qiu; Pu Lu; Yali Zhao; Linfeng Zhang 001; Lipu Zhou; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICCV, 2023)

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. - Enshu Liu; Xuefei Ning; Zinan Lin 001; Huazhong Yang; Yu Wang 002 (ICML, 2023)

DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. - Shulin Zeng; Zhenhua Zhu; Jun Liu 071; Haoyu Zhang; Guohao Dai; Zixuan Zhou; Shuangchen Li; Xuefei Ning; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (MICRO, 2023)

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels. - Zifu Wang; Xuefei Ning; Matthew B. Blaschko (NeurIPS, 2023)

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". - Junbo Zhao 001; Xuefei Ning; Enshu Liu; Binxin Ru; Zixuan Zhou; Tianchen Zhao; Chen Chen 077; Jiajin Zhang; Qingmin Liao; Yu Wang 002 (CoRR, 2023)

Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding. - Xuefei Ning; Zinan Lin 001; Zixuan Zhou; Huazhong Yang; Yu Wang 002 (CoRR, 2023)

A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. - Xuefei Ning; Yin Zheng; Zixuan Zhou; Tianchen Zhao; Huazhong Yang; Yu Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. - Hanbo Sun; Zhenhua Zhu; Chenyu Wang; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Multi-Agent Vulnerability Discovery for Autonomous Driving Policy by Finding AV-Responsible Scenarios. - Ye Mu; Weilin Liu; Chao Yu 005; Xuefei Ning; Zhong Cao; Zelai Xu; Shuang Liang 010; Huazhong Yang; Yu Wang 005 (CASE, 2024)

FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. - Lin Zhao; Tianchen Zhao; Zinan Lin 001; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (CVPR, 2024)

DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. - Tongxin Xie; Tianchen Zhao; Zhenhua Zhu; Xuefei Ning; Bing Li; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2024)

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. - Tianchen Zhao; Xuefei Ning; Tongcheng Fang; Enshu Liu; Guyue Huang; Zinan Lin 001; Shengen Yan; Guohao Dai; Yu Wang 002 (ECCV (14), 2024)

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. - Luning Wang; Shiyao Li; Xuefei Ning; Zhihang Yuan; Shengen Yan; Guohao Dai; Yu Wang 002 (ENLSP, 2024)

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. - Shulin Zeng; Jun Liu 071; Guohao Dai; Xinhao Yang; Tianyu Fu 004; Hongyi Wang; Wenheng Ma; Hanbo Sun; Shiyao Li; Zixiao Huang; Yadong Dai; Jintao Li; et al. (FPGA, 2024)

Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. - Lidong Guo; Zhenhua Zhu; Tengxuan Liu; Xuefei Ning; Shiyao Li; Guohao Dai; Huazhong Yang; Wangyang Fu; Yu Wang 002 (ICCAD, 2024)

Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. - Junyi Zhu 002; Zinan Lin 001; Enshu Liu; Xuefei Ning; Matthew B. Blaschko (Tiny Papers @ ICLR, 2024)

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. - Enshu Liu; Xuefei Ning; Huazhong Yang; Yu Wang 002 (ICLR, 2024)

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation. - Xuefei Ning; Zinan Lin 001; Zixuan Zhou; Zifu Wang; Huazhong Yang; Yu Wang 002 (ICLR, 2024)

Evaluating Quantized Large Language Models. - Shiyao Li; Xuefei Ning; Luning Wang; Tengxuan Liu; Xiangsheng Shi; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICML, 2024)

Rad-NeRF: Ray-decoupled Training of Neural Radiance Field. - Lidong Guo; Xuefei Ning; Yonggan Fu; Tianchen Zhao; Zhuoliang Kang; Jincheng Yu; Yingyan (Celine) Lin; Yu Wang 002 (NeurIPS, 2024)

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (NeurIPS, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Hanling Zhang; Lu Pu; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (NeurIPS, 2024)

TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. - Shiyao Li; Xuefei Ning; Shanghang Zhang; Lidong Guo; Tianchen Zhao; Huazhong Yang; Yu Wang 002 (WACV, 2024)

THInImg: Cross-modal Steganography for Presenting Talking Heads in Images. - Lin Zhao; Hongxuan Li; Xuefei Ning; Xinru Jiang (WACV, 2024)

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. - Tao Yuan; Xuefei Ning; Dong Zhou; Zhijie Yang; Shiyao Li; Minghui Zhuang; Zheyue Tan; Zhuyu Yao; Dahua Lin; Boxun Li; Guohao Dai; Shengen Yan; et al. (CoRR, 2024)

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Matthew B. Blaschko; Sergey Yekhanin; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

A Survey on Efficient Inference for Large Language Models. - Zixuan Zhou; Xuefei Ning; Ke Hong; Tianyu Fu 004; Jiaming Xu; Shiyao Li; Yuming Lou; Luning Wang; Zhihang Yuan; Xiuhong Li; Shengen Yan; Guohao Dai; et al. (CoRR, 2024)

DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. - Yao Teng; Yue Wu; Han Shi; Xuefei Ning; Guohao Dai; Yu Wang 002; Zhenguo Li; Xihui Liu (CoRR, 2024)

HetHub: A Heterogeneous distributed hybrid training system for large-scale models. - Si Xu; Zixiao Huang; Yan Zeng; Shengen Yan; Xuefei Ning; Haolin Ye; Sipei Gu; Chunsheng Shui; Zhezheng Lin; Hao Zhang; Sheng Wang; Guohao Dai; et al. (CoRR, 2024)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Enshu Liu; Rui Wan; Widyadewi Soedarmadji; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Pu Lu; Hanling Zhang; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2024)

Can LLMs Learn by Teaching? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. - Tianyu Fu 004; Haofeng Huang; Xuefei Ning; Genghan Zhang; Boju Chen; Tianqi Wu; Hongyi Wang; Zixiao Huang; Shiyao Li; Shengen Yan; Guohao Dai; Huazhong Yang; et al. (CoRR, 2024)

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Matthew B. Blaschko; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

Decouple-Then-Merge: Towards Better Training for Diffusion Models. - Qianli Ma; Xuefei Ning; Dongrui Liu; Li Niu; Linfeng Zhang 001 (CoRR, 2024)

Towards Accurate and Efficient Sub-8-Bit Integer Training. - Wenjin Guo; Donglai Liu; Weiying Xie; Yunsong Li 001; Xuefei Ning; Zihan Meng; Shulin Zeng; Jie Lei 001; Zhenman Fang; Yu Wang 002 (CoRR, 2024)

LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization. - Rui Xie; Tianchen Zhao; Zhihang Yuan; Rui Wan; Wenxi Gao; Zhenhua Zhu; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration. - Kaiyi Huang; Yukun Huang; Xuefei Ning; Zinan Lin 001; Yu Wang 002; Xihui Liu (CoRR, 2024)

Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. - Shiyao Li; Zhenhua Zhu; Hanbo Sun; Xuefei Ning; Guohao Dai; Yiming Hu; Huazhong Yang; Yu Wang 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning. - Evelyn Zhang; Jiayi Tang; Xuefei Ning; Linfeng Zhang 001 (AAAI, 2025)

ProReflow: Progressive Reflow with Decomposed Velocity. - Lei Ke; Haohang Xu; Xuefei Ning; Yu Li; Jiajun Li; Haoling Li; Yuxuan Lin; Dongsheng Jiang; Yujiu Yang; Linfeng Zhang 001 (CVPR, 2025)

MBQ: Modality-Balanced Quantization for Large Vision-Language Models. - Shiyao Li; Yingchun Hu; Xuefei Ning; Xihui Liu; Ke Hong; Xiaotao Jia; Xiuhong Li; Yaqi Yan; Pei Ran; Guohao Dai; Shengen Yan; Huazhong Yang; et al. (CVPR, 2025)

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning. - Qianli Ma; Xuefei Ning; Dongrui Liu; Li Niu; Linfeng Zhang 001 (CVPR, 2025)

FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. - Wenheng Ma; Xinhao Yang; Shulin Zeng; Tengxuan Liu; Libo Shen; Hongyi Wang; Shiyao Li; Jiewen Wang; Yuhan Zhang; Hao Guo; Jintao Li; Ziming Zhang; et al. (FPGA, 2025)

TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. - Jun Liu 071; Shulin Zeng; Junbo Zhao 001; Li Ding 012; Zeyu Wang; Jinhao Li 006; Zhenhua Zhu; Xuefei Ning; Chen Zhang; Yu Wang 002; Guohao Dai (HPCA, 2025)

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Shuaiqi Wang; Matthew B. Blaschko; Sergey Yekhanin; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICLR, 2025)

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. - Enshu Liu; Xuefei Ning; Yu Wang 002; Zinan Lin 001 (ICLR, 2025)

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. - Yao Teng; Han Shi; Xian Liu; Xuefei Ning; Guohao Dai; Yu Wang 002; Zhenguo Li; Xihui Liu (ICLR, 2025)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Haofeng Huang; Rui Wan; Widyadewi Soedarmadji; Enshu Liu; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; et al. (ICLR, 2025)

AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms. - Yuwei Yan; Yu Shang; Qingbin Zeng; Yu Li; Keyu Zhao; Zhiheng Zheng; Xuefei Ning; Tianji Wu; Shengen Yan; Yu Wang 002; Fengli Xu; Yong Li 008 (WWW (Companion Volume), 2025)

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free. - Evelyn Zhang; Bang Xiao; Jiayi Tang; Qianli Ma; Chang Zou; Xuefei Ning; Xuming Hu; Linfeng Zhang 001 (CoRR, 2025)

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. - Tianyu Fu 004; Tengxuan Liu; Qinghao Han; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2025)

FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation. - Kaiyi Huang; Yukun Huang; Xintao Wang; Zinan Lin 001; Xuefei Ning; Pengfei Wan; Di Zhang; Yu Wang 002; Xihui Liu (CoRR, 2025)