Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning. - Xiangxiang Chu; Hangjun Ye (CoRR, 2017)

Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization. - Xiangxiang Chu (CoRR, 2018)

Improved Crowding Distance for NSGA-II. - Xiangxiang Chu; Xinjie Yu (CoRR, 2018)

Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Ruijun Xu; Hailong Ma (CoRR, 2019)

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Hailong Ma; Ruijun Xu; Jixiang Li; Qingyuan Li 001 (CoRR, 2019)

A Matrix-in-matrix Neural Network for Image Super Resolution. - Hailong Ma; Xiangxiang Chu; Bo Zhang 046; Shaohua Wan 004; Bo Zhang 047 (CoRR, 2019)

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Ruijun Xu; Jixiang Li (CoRR, 2019)

ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Jixiang Li; Qingyuan Li 001; Ruijun Xu (CoRR, 2019)

Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network. - Hailong Ma; Xiangxiang Chu; Bo Zhang 046 (ACCV (2), 2020)

Multi-objective Reinforced Evolution in Mobile Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Ruijun Xu (ECCV Workshops (4), 2020)

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. - Xiangxiang Chu; Tianbao Zhou; Bo Zhang 046; Jixiang Li (ECCV (15), 2020)

MoGA: Searching Beyond Mobilenetv3. - Xiangxiang Chu; Bo Zhang 046; Ruijun Xu (ICASSP, 2020)

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Hailong Ma; Ruijun Xu; Qingyuan Li 001 (ICPR, 2020)

Neural Architecture Search on Acoustic Scene Classification. - Jixiang Li; Chuming Liang; Bo Zhang 046; Zhao Wang; Fei Xiang; Xiangxiang Chu (INTERSPEECH, 2020)

MixPath: A Unified Approach for One-shot Neural Architecture Search. - Xiangxiang Chu; Xudong Li 003; Yi Lu; Bo Zhang 046; Jixiang Li (CoRR, 2020)

Noisy Differentiable Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Xudong Li 003 (CoRR, 2020)

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. - Xiaoxing Wang; Xiangxiang Chu; Yuda Fan; Zhexi Zhang; Xiaolin Wei; Junchi Yan; Xiaokang Yang 001 (CoRR, 2020)

Beyond Single Instance Multi-view Unsupervised Representation Learning. - Xiangxiang Chu; Xiaohang Zhan; Xiaolin Wei (CoRR, 2020)

Noisy Differentiable Architecture Search. - Xiangxiang Chu; Bo Zhang 047 (BMVC, 2021)

AutoKWS: Keyword Spotting with Differentiable Architecture Search. - Bo Zhang 046; Wenfeng Li; Qingyuan Li 001; Weiji Zhuang; Xiangxiang Chu; Yujun Wang (ICASSP, 2021)

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Ruijun Xu (ICCV, 2021)

SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search. - Xiangxiang Chu; Bo Zhang 046; Qingyuan Li 001; Ruijun Xu; Xudong Li 003 (ICCVW, 2021)

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. - Xiangxiang Chu; Xiaoxing Wang; Bo Zhang 046; Shun Lu 001; Xiaolin Wei; Junchi Yan (ICLR, 2021)

Twins: Revisiting the Design of Spatial Attention in Vision Transformers. - Xiangxiang Chu; Zhi Tian; Yuqing Wang; Bo Zhang 046; Haibing Ren; Xiaolin Wei; Huaxia Xia; Chunhua Shen (NeurIPS, 2021)

Do We Really Need Explicit Position Encodings for Vision Transformers? - Xiangxiang Chu; Bo Zhang 046; Zhi Tian; Xiaolin Wei; Huaxia Xia (CoRR, 2021)

Twins: Revisiting Spatial Attention Design in Vision Transformers. - Xiangxiang Chu; Zhi Tian; Yuqing Wang; Bo Zhang 046; Haibing Ren; Xiaolin Wei; Huaxia Xia; Chunhua Shen (CoRR, 2021)

CCTrans: Simplifying and Improving Crowd Counting with Transformer. - Ye Tian 026; Xiangxiang Chu; Hongpeng Wang (CoRR, 2021)

DAAS: Differentiable Architecture and Augmentation Policy Search. - Xiaoxing Wang; Xiangxiang Chu; Junchi Yan; Xiaokang Yang 001 (CoRR, 2021)

A Unified Mixture-View Framework for Unsupervised Representation Learning. - Xiangxiang Chu; Xiaohang Zhan; Bo Zhang 046 (BMVC, 2022)

EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. - Qingyuan Li 001; Bo Zhang 046; Xiangxiang Chu (BMVC, 2022)

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. - Wangbo Zhao; Kai Wang 036; Xiangxiang Chu; Fuzhao Xue; Xinchao Wang; Yang You 001 (CVPR, 2022)

PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images. - Chengjian Feng; Yujie Zhong; Zequn Jie; Xiangxiang Chu; Haibing Ren; Xiaolin Wei; Weidi Xie; Lin Ma 002 (ECCV (9), 2022)

SegViT: Semantic Segmentation with Plain Vision Transformers. - Bowen Zhang 009; Zhi Tian; Quan Tang 001; Xiangxiang Chu; Xiaolin Wei; Chunhua Shen; Yifan Liu 001 (NeurIPS, 2022)

Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. - Zhi Tian; Xiangxiang Chu; Xiaoming Wang; Xiaolin Wei; Chunhua Shen (NeurIPS, 2022)

PromptDet: Expand Your Detector Vocabulary with Uncurated Images. - Chengjian Feng; Yujie Zhong; Zequn Jie; Xiangxiang Chu; Haibing Ren; Xiaolin Wei; Weidi Xie; Lin Ma 002 (CoRR, 2022)

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications. - Chuyi Li; Lulu Li; Hongliang Jiang; Kaiheng Weng; Yifei Geng; Liang Li 003; Zaidan Ke; Qingyuan Li 001; Meng Cheng; Weiqiang Nie; Yiduo Li; Bo Zhang 046; et al. (CoRR, 2022)

AeDet: Azimuth-Invariant Multi-View 3D Object Detection. - Chengjian Feng; Zequn Jie; Yujie Zhong; Xiangxiang Chu; Lin Ma 002 (CVPR, 2023)

MixPath: A Unified Approach for One-shot Neural Architecture Search. - Xiangxiang Chu; Shun Lu 001; Xudong Li 003; Bo Zhang 046 (ICCV, 2023)

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. - Xiaoxing Wang; Xiangxiang Chu; Yuda Fan; Zhexi Zhang; Bo Zhang 046; Xiaokang Yang 001; Junchi Yan (ICCV, 2023)

Conditional Positional Encodings for Vision Transformers. - Xiangxiang Chu; Zhi Tian; Bo Zhang 046; Xinlong Wang; Chunhua Shen (ICLR, 2023)

YOLOv6 v3.0: A Full-Scale Reloading. - Chuyi Li; Lulu Li; Yifei Geng; Hongliang Jiang; Meng Cheng; Bo Zhang 046; Zaidan Ke; Xiaoming Xu; Xiangxiang Chu (CoRR, 2023)

EfficientRep: An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design. - Kaiheng Weng; Xiangxiang Chu; Xiaoming Xu; Junshi Huang; Xiaoming Wei (CoRR, 2023)

FastPillars: A Deployment-friendly Pillar-based 3D Detector. - Sifan Zhou; Zhi Tian; Xiangxiang Chu; Xinyu Zhang 015; Bo Zhang 046; Xiaobo Lu; Chengjian Feng; Zequn Jie; Patrick Yin Chiang; Lin Ma 002 (CoRR, 2023)

FPTQ: Fine-grained Post-Training Quantization for Large Language Models. - Qingyuan Li 001; Yifan Zhang 001; Liang Li 003; Peng Yao; Bo Zhang 046; Xiangxiang Chu; Yerui Sun; Li Du; Yuchen Xie (CoRR, 2023)

A Speed Odyssey for Deployable Quantization of LLMs. - Qingyuan Li 001; Ran Meng; Yiduo Li; Bo Zhang 046; Liang Li 003; Yifan Lu; Xiangxiang Chu; Yerui Sun; Yuchen Xie (CoRR, 2023)

Masked Autoencoders Are Robust Neural Architecture Search Learners. - Yiming Hu; Xiangxiang Chu; Bo Zhang 046 (CoRR, 2023)

RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning. - Shuang Xu; Sifan Zhou; Zhi Tian; Jizhou Ma; Qiong Nie; Xiangxiang Chu (CoRR, 2023)

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices. - Xiangxiang Chu; Limeng Qiao; Xinyang Lin; Shuang Xu; Yang Yang 002; Yiming Hu; Fei Wei; Xinyu Zhang 015; Bo Zhang 046; Xiaolin Wei; Chunhua Shen (CoRR, 2023)

Make RepVGG Greater Again: A Quantization-Aware Approach. - Xiangxiang Chu; Liang Li 003; Bo Zhang 046 (AAAI, 2024)

Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models. - Liang Li 003; Qingyuan Li 001; Bo Zhang 046; Xiangxiang Chu (AAAI, 2024)

SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. - Zhengze Xu; Dongyue Wu; Changqian Yu; Xiangxiang Chu; Nong Sang; Changxin Gao (AAAI, 2024)

PeLK: Parameter-Efficient Large Kernel ConvNets with Peripheral Convolution. - Honghao Chen; Xiangxiang Chu; Yongjian Ren; Xin Zhao 012; Kaiqi Huang (CVPR, 2024)

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks. - Xiangxiang Chu; Jianlin Su; Bo Zhang 046; Chunhua Shen (ECCV (66), 2024)

Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition. - Yurong Zhang; Honghao Chen; Xinyu Zhang; Xiangxiang Chu; Li Song (ECCV (71), 2024)

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection. - Sifan Zhou; Liang Li 003; Xinyu Zhang 015; Bo Zhang 046; Shipeng Bai; Miao Sun; Ziyu Zhao; Xiaobo Lu; Xiangxiang Chu (ICLR, 2024)

Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness. - Honghao Chen; Yurong Zhang; Xiaokun Feng; Xiangxiang Chu; Kaiqi Huang (ICML, 2024)

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model. - Xiangxiang Chu; Limeng Qiao; Xinyu Zhang 015; Shuang Xu; Fei Wei; Yang Yang 002; Xiaofei Sun; Yiming Hu; Xinyang Lin; Bo Zhang 046; Chunhua Shen (CoRR, 2024)

VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. - Xiangxiang Chu; Jianlin Su; Bo Zhang 046; Chunhua Shen (CoRR, 2024)

LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge. - Yuhe Liu; Mengxue Kang; Zengchang Qin; Xiangxiang Chu (CoRR, 2024)

AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning. - Di Qiu; Xinyang Lin; Kaiye Wang; Xiangxiang Chu; Pengfei Yan (CoRR, 2024)

PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus. - Zhaochen Liu; Limeng Qiao; Xiangxiang Chu; Tingting Jiang 001 (CoRR, 2024)

DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow. - Hangyu Li; Xiangxiang Chu; Dingyuan Shi (CoRR, 2024)

MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective. - Hailang Huang; Yong Wang; Zixuan Huang; Huaqiu Li; Tongwen Huang; Xiangxiang Chu; Richong Zhang (CoRR, 2024)

Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation. - Dingyuan Shi; Yong Wang; Hangyu Li; Xiangxiang Chu (CoRR, 2024)

AODet: Aerial Object Detection Using Transformers for Foreground Regions. - Xiaoming Wang 010; Hao Chen 041; Xiangxiang Chu; Peng Wang 015 (IEEE Trans. Geosci. Remote. Sens., 2024)

Towards Efficient Foundation Model for Zero-shot Amodal Segmentation. - Zhaochen Liu; Limeng Qiao; Xiangxiang Chu; Lin Ma 002; Tingting Jiang 001 (CVPR, 2025)

Lenna: Language Enhanced Reasoning Detection Assistant. - Fei Wei; Xinyu Zhang 015; Ailing Zhang; Bo Zhang 046; Xiangxiang Chu (ICASSP, 2025)

Contrastive Instruction Fine-Tuning Large Multimodal Model for Hateful Meme Classification. - Ming Shan Hee; Zihan Gao; Yinglong Wang; Xiangxiang Chu; Roy Ka-Wei Lee; Zengchang Qin (ICWSM, 2025)

DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking. - Jiahao Yu 002; Yihai Duan; Longfei Xu; Chao Chen; Shuliang Liu; Kaikui Liu; Fan Yang; Xiangxiang Chu; Ning Guo (WWW (Companion Volume), 2025)

USP: Unified Self-Supervised Pretraining for Image Generation and Understanding. - Xiangxiang Chu; Renda Li; Yong Wang (CoRR, 2025)

Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model. - Mingxing Li; Rui Wang; Lei Sun; Yancheng Bai; Xiangxiang Chu (CoRR, 2025)

VMBench: A Benchmark for Perception-Aligned Video Motion Generation. - Xinran Ling; Chen Zhu; Meiqi Wu; Hangyu Li; Xiaokun Feng; Cundian Yang; Aiming Hao; Jiashu Zhu; Jiahong Wu; Xiangxiang Chu (CoRR, 2025)

GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning. - Xiangxiang Chu; Hailang Huang; Xiao Zhang; Fei Wei; Yong Wang (CoRR, 2025)

FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos. - Rui Chen; Lei Sun 009; Jing Tang; Gen Li 011; Xiangxiang Chu (CoRR, 2025)

FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing. - Rui Lan; Yancheng Bai; Xu Duan; Mingxing Li; Lei Sun; Xiangxiang Chu (CoRR, 2025)

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion. - Xinyan Wang; Rui Dai; Kaikui Liu; Xiangxiang Chu (CoRR, 2025)

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning. - Sule Bai; Mingxing Li; Yong Liu 033; Jing Tang; Haoji Zhang 001; Lei Sun; Xiangxiang Chu; Yansong Tang (CoRR, 2025)

HS-STAR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation. - Feng Xiong; Hongling Xu; Yifei Wang; Runxi Cheng; Yong Wang; Xiangxiang Chu (CoRR, 2025)

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement. - Xiao Zhang; Fei Wei; Yong Wang; Wenda Zhao; Feiyi Li; Xiangxiang Chu (CoRR, 2025)

LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling. - Huaqiu Li; Yong Wang; Tongwen Huang; Hailang Huang; Haoqian Wang; Xiangxiang Chu (CoRR, 2025)

SCALAR: Scale-wise Controllable Visual Autoregressive Learning. - Ryan Xu; Dongyang Jin; Yancheng Bai; Rui Lan; Xu Duan; Lei Sun; Xiangxiang Chu (CoRR, 2025)

Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation. - Fangyuan Mao; Aiming Hao; Jintao Chen; Dongxia Liu; Xiaokun Feng; Jiashu Zhu; Meiqi Wu; Chubin Chen; Jiahong Wu; Xiangxiang Chu (CoRR, 2025)

Comprehensive Comparison Network: a framework for locality-aware, routes-comparable and interpretable route recommendation. - Chao Chen; Longfei Xu; Hanyu Guo; Chengzhang Wang; Ying Wang; Kaikui Liu; Xiangxiang Chu (CoRR, 2025)