First Demonstration of Machine-Learning-Based Self-Optimizing Optical Networks (SOON) Running on Commercial Equipment. - Boyuan Yan; Yongli Zhao; Wei Wang 116; Longchuan Yan; Ying Wang 056; Jun Liu 071; Shulin Zhang; Dongmei Liu; Yi Lin 003; Haomian Zheng; Jie Zhang 006 (ECOC, 2018)

3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Hongren Zheng; Yusong Wu; Fan Zhang; Xinhao Yang; Yi Cai 003; Yu Wang 002; Huazhong Yang (FPGA, 2021)

Optimal Pre-Filtering for Improving Facebook Shared Images. - Weiwei Sun 009; Jiantao Zhou 001; Li Dong 006; Jinyu Tian 001; Jun Liu 071 (IEEE Trans. Image Process., 2021)

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning. - Xia Kong; Zuodong Gao; Xiaofan Li 008; Ming Hong; Jun Liu 071; Chengjie Wang; Yuan Xie 006; Yanyun Qu (CVPR, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

Robust Image Forgery Detection over Online Social Network Shared Images. - Haiwei Wu; Jiantao Zhou 001; Jinyu Tian 001; Jun Liu 071 (CVPR, 2022)

tSF: Transformer-Based Semantic Filter for Few-Shot Learning. - Jinxiang Lai; Siqian Yang; Wenlong Liu; Yi Zeng 006; Zhongyi Huang; Wenlong Wu; Jun Liu 071; Bin-Bin Gao; Chengjie Wang (ECCV (20), 2022)

HDNet: A Hierarchically Decoupled Network for Crowd Counting. - Chenliang Gu; Changan Wang; Bin-Bin Gao; Jun Liu 071; Tianliang Zhang (ICME, 2022)

Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. - Jun Liu 071; Zhenhua Zhu; Jingbo Hu; Hanbo Sun; Li Liu; Lingzhi Liu; Guohao Dai; Huazhong Yang; Yu Wang 002 (MDM, 2022)

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. - Jinxiang Lai; Siqian Yang; Guannan Jiang; Xi Wang; Yuxi Li; Zihui Jia; Xiaochen Chen; Jun Liu 071; Bin-Bin Gao; Wei Zhang 217; Yuan Xie 006; Chengjie Wang (ACM Multimedia, 2022)

Towards Continual Adaptation in Industrial Anomaly Detection. - Wujin Li; Jiawei Zhan; Jinbao Wang; Bizhong Xia; Bin-Bin Gao; Jun Liu 071; Chengjie Wang; Feng Zheng (ACM Multimedia, 2022)

Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification. - Hanzhe Sun; Jun Liu 071; Zhizhong Zhang 001; Chengjie Wang; Yanyun Qu; Yuan Xie 006; Lizhuang Ma (ACM Multimedia, 2022)

Hierarchical Walking Transformer for Object Re-Identification. - Xudong Tian; Jun Liu 071; Zhizhong Zhang 001; Chengjie Wang; Yanyun Qu; Yuan Xie 006; Lizhuang Ma (ACM Multimedia, 2022)

Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. - Jiawei Zhan; Jun Liu 071; Wei Tang; Guannan Jiang; Xi Wang; Bin-Bin Gao; Tianliang Zhang; Wenlong Wu; Wei Zhang 217; Chengjie Wang; Yuan Xie 006 (ACM Multimedia, 2022)

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation. - Bin-Bin Gao; Xiaochen Chen; Zhongyi Huang; Congchong Nie; Jun Liu 071; Jinxiang Lai; Guannan Jiang; Xi Wang; Chengjie Wang (NeurIPS, 2022)

Robust Image Forgery Detection Against Transmission Over Online Social Networks. - Haiwei Wu; Jiantao Zhou 001; Jinyu Tian 001; Jun Liu 071; Yu Qiao 001 (IEEE Trans. Inf. Forensics Secur., 2022)

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Shiyao Li; Guangjun Ge; Kai Zhong; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2022)

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. - Jinxiang Lai; Siqian Yang; Wenlong Wu; Tao Wu; Guannan Jiang; Xi Wang; Jun Liu 071; Bin-Bin Gao; Wei Zhang 217; Yuan Xie 006; Chengjie Wang (AAAI, 2023)

Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling. - Zhen Zhao; Zhizhong Zhang 001; Xin Tan 002; Jun Liu 071; Yanyun Qu; Yuan Xie 006; Lizhuang Ma (CVPR, 2023)

Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. - Zhenhua Zhu; Jun Liu 071; Guohao Dai; Shulin Zeng; Bing Li; Huazhong Yang; Yu Wang 002 (DAC, 2023)

TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. - Jun Liu 071; Guohao Dai; Hao Xia; Lidong Guo; Xiangsheng Shi; Jiaming Xu; Huazhong Yang; Yu Wang 002 (ICCAD, 2023)

Instance and Category Supervision are Alternate Learners for Continual Learning. - Xudong Tian; Zhizhong Zhang 001; Xin Tan 002; Jun Liu 071; Chengjie Wang; Yanyun Qu; Guannan Jiang; Yuan Xie 006 (ICCV, 2023)

Clustered-patch Element Connection for Few-shot Learning. - Jinxiang Lai; Siqian Yang; Junhong Zhou; Wenlong Wu; Xiaochen Chen; Jun Liu 071; Bin-Bin Gao; Chengjie Wang (IJCAI, 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)

DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space. - Jun Liu 071; Jiantao Zhou 001; Jiandian Zeng; Jinyu Tian 001 (CoRR, 2023)

FlashDecoding++: Faster Large Language Model Inference on GPUs. - Ke Hong; Guohao Dai; Jiaming Xu; Qiuli Mao; Xiuhong Li; Jun Liu 071; Kangdi Chen; Yuhan Dong; Yu Wang 002 (CoRR, 2023)

DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space. - Jun Liu 071; Jiantao Zhou 001; Jiandian Zeng; Jinyu Tian 001 (AAAI, 2024)

MatchDet: A Collaborative Framework for Image Matching and Object Detection. - Jinxiang Lai; Wenlong Wu; Bin-Bin Gao; Jun Liu 071; Jiawei Zhan; Congchong Nie; Yi Zeng 006; Chengjie Wang (AAAI, 2024)

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. - Hongquan Zhang; Bin-Bin Gao; Yi Zeng 006; Xudong Tian; Xin Tan 002; Zhizhong Zhang 001; Yanyun Qu; Jun Liu 071; Yuan Xie 006 (AAAI, 2024)

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. - Guan Gui 003; Bin-Bin Gao; Jun Liu 071; Chengjie Wang; Yunsheng Wu (ECCV (83), 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)

MARCA: Mamba Accelerator with Reconfigurable Architecture. - Jinhao Li 006; Shan Huang 010; Jiaming Xu; Jun Liu 071; Li Ding 012; Ningyi Xu; Guohao Dai (ICCAD, 2024)

Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. - Jinhao Li 006; Jiaming Xu; Shiyao Li; Shan Huang 010; Jun Liu 071; Yaoxiu Lian; Guohao Dai (ICCAD, 2024)

FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics. - Ke Hong; Guohao Dai; Jiaming Xu; Qiuli Mao; Xiuhong Li; Jun Liu 071; Kangdi Chen; Yuhan Dong; Yu Wang 002 (MLSys, 2024)

SoftPatch: Unsupervised Anomaly Detection with Noisy Data. - Xi Jiang 009; Ying Chen; Qiang Nie; Yong Liu 032; Jianlin Liu; Bin-Bin Gao; Jun Liu 071; Chengjie Wang; Feng Zheng (CoRR, 2024)

DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain. - Jun Liu 071; Jiantao Zhou 001; Jiandian Zeng; Jinyu Tian 001; Zheng Li (CoRR, 2024)

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning. - Jiawei Zhan; Jinxiang Lai; Bin-Bin Gao; Jun Liu 071; Xiaochen Chen; Chengjie Wang (CoRR, 2024)

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective. - Jinhao Li 006; Jiaming Xu; Shan Huang 010; Yonghua Chen; Wen Li; Jun Liu 071; Yaoxiu Lian; Jiayi Pan; Li Ding 012; Hao Zhou; Yu Wang 002; Guohao Dai (CoRR, 2024)

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. - Haoyu Zhang; Jun Liu 071; Zhenhua Zhu; Shulin Zeng; Maojia Sheng; Tao Yang 042; Guohao Dai; Yu Wang 002 (CoRR, 2024)

Spider: Any-to-Many Multimodal LLM. - Jinxiang Lai; Jie Zhang 006; Jun Liu 071; Jian Li 062; Xiaocheng Lu; Song Guo 001 (CoRR, 2024)

Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning. - Wujin Li; Bin-Bin Gao; Bizhong Xia; Jinbao Wang; Jun Liu 071; Yong Liu 032; Chengjie Wang; Feng Zheng (IEEE Trans. Multim., 2024)

Generating Robust Adversarial Examples against Online Social Networks (OSNs). - Jun Liu 071; Jiantao Zhou 001; Haiwei Wu; Weiwei Sun 009; Jinyu Tian 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples. - Jun Liu 071; Jiantao Zhou 001; Jinyu Tian 001; Weiwei Sun 009 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow. - Li Ding 012; Jun Liu 071; Shan Huang 010; Guohao Dai (ASP-DAC, 2025)

Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing. - Jiaming Xu; Jinhao Li 006; Jun Liu 071; Hao Zhou; Guohao Dai (ASP-DAC, 2025)

FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs. - Jun Liu 071; Shulin Zeng; Li Ding 012; Widyadewi Soedarmadji; Hao Zhou; Zehao Wang; Jinhao Li 006; Jintao Li; Yadong Dai; Kairui Wen; Shan He; Yaqi Sun; 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)

BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation. - Jinxiang Lai; Wenlong Wu; Jiawei Zhan; Jian Li 062; Bin-Bin Gao; Jun Liu 071; Jie Zhang 006; Song Guo 001 (CoRR, 2025)

The Tenth NTIRE 2025 Image Denoising Challenge Report. - Lei Sun 016; Hang Guo; Bin Ren; Luc Van Gool; Radu Timofte; Yawei Li 001; Xiangyu Kong; Hyunhee Park; Xiaoxuan Yu; Suejin Han; Hakjae Jeon; Jia Li 044; et al. (CoRR, 2025)

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. - Bin-Bin Gao; Yue Zhou; Jiangtao Yan; Yuezhi Cai; Weixi Zhang; Meng Wang; Jun Liu 071; Yong Liu 032; Lei Wang; Chengjie Wang (CoRR, 2025)