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2020 – today
- 2025
[c32]Ming Shan Hee, Zihan Gao, Yinglong Wang, Xiangxiang Chu, Roy Ka-Wei Lee, Zengchang Qin:
Contrastive Instruction Fine-Tuning Large Multimodal Model for Hateful Meme Classification. ICWSM 2025: 760-773- [c31]Jiahao Yu
, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Kaikui Liu, Fan Yang, Xiangxiang Chu, Ning Guo:
DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking. WWW (Companion Volume) 2025: 567-576 - [i57]Xiangxiang Chu, Renda Li, Yong Wang:
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding. CoRR abs/2503.06132 (2025) - [i56]Mingxing Li, Rui Wang, Lei Sun, Yancheng Bai, Xiangxiang Chu:
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model. CoRR abs/2503.06141 (2025) - [i55]Xinran Ling, Chen Zhu, Meiqi Wu, Hangyu Li, Xiaokun Feng, Cundian Yang, Aiming Hao, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu:
VMBench: A Benchmark for Perception-Aligned Video Motion Generation. CoRR abs/2503.10076 (2025) - [i54]Xiangxiang Chu, Hailang Huang, Xiao Zhang, Fei Wei, Yong Wang:
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning. CoRR abs/2504.02546 (2025) - [i53]Rui Chen, Lei Sun, Jing Tang, Gen Li, Xiangxiang Chu:
FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos. CoRR abs/2504.10358 (2025) - 2024
- [j1]Xiaoming Wang, Hao Chen, Xiangxiang Chu, Peng Wang:
AODet: Aerial Object Detection Using Transformers for Foreground Regions. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [c30]Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao:
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. AAAI 2024: 6378-6386 - [c29]Xiangxiang Chu, Liang Li, Bo Zhang:
Make RepVGG Greater Again: A Quantization-Aware Approach. AAAI 2024: 11624-11632 - [c28]Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu:
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models. AAAI 2024: 18536-18544 - [c27]Honghao Chen, Xiangxiang Chu, Yongjian Ren, Xin Zhao, Kaiqi Huang:
PeLK: Parameter-Efficient Large Kernel ConvNets with Peripheral Convolution. CVPR 2024: 5557-5567 - [c26]Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen:
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks. ECCV (66) 2024: 1-18 - [c25]Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song:
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition. ECCV (71) 2024: 433-448 - [c24]Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu:
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection. ICLR 2024 - [c23]Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang:
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness. ICML 2024 - [i52]Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu:
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection. CoRR abs/2401.15865 (2024) - [i51]Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen:
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model. CoRR abs/2402.03766 (2024) - [i50]Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen:
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. CoRR abs/2403.00522 (2024) - [i49]Honghao Chen, Xiangxiang Chu, Yongjian Ren, Xin Zhao, Kaiqi Huang:
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution. CoRR abs/2403.07589 (2024) - [i48]Yuhe Liu, Mengxue Kang, Zengchang Qin, Xiangxiang Chu:
LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge. CoRR abs/2403.11570 (2024) - [i47]Di Qiu, Xinyang Lin, Kaiye Wang, Xiangxiang Chu, Pengfei Yan:
AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning. CoRR abs/2405.13467 (2024) - [i46]Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Tingting Jiang:
PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus. CoRR abs/2405.16094 (2024) - [i45]Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang:
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness. CoRR abs/2407.08972 (2024) - [i44]Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song:
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition. CoRR abs/2407.14302 (2024) - [i43]Hangyu Li, Xiangxiang Chu, Dingyuan Shi:
DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow. CoRR abs/2408.05008 (2024) - [i42]Hailang Huang, Yong Wang, Zixuan Huang, Huaqiu Li, Tongwen Huang, Xiangxiang Chu, Richong Zhang:
MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective. CoRR abs/2411.14062 (2024) - [i41]Dingyuan Shi, Yong Wang, Hangyu Li, Xiangxiang Chu:
Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation. CoRR abs/2411.14871 (2024) - 2023
- [c22]Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma:
AeDet: Azimuth-Invariant Multi-View 3D Object Detection. CVPR 2023: 21580-21588 - [c21]Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan:
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. ICCV 2023: 5916-5926 - [c20]Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang:
MixPath: A Unified Approach for One-shot Neural Architecture Search. ICCV 2023: 5949-5958 - [c19]Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen:
Conditional Positional Encodings for Vision Transformers. ICLR 2023 - [i40]Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu:
YOLOv6 v3.0: A Full-Scale Reloading. CoRR abs/2301.05586 (2023) - [i39]Kaiheng Weng, Xiangxiang Chu, Xiaoming Xu, Junshi Huang, Xiaoming Wei:
EfficientRep: An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design. CoRR abs/2302.00386 (2023) - [i38]Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma:
FastPillars: A Deployment-friendly Pillar-based 3D Detector. CoRR abs/2302.02367 (2023) - [i37]Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie:
FPTQ: Fine-grained Post-Training Quantization for Large Language Models. CoRR abs/2308.15987 (2023) - [i36]Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu:
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models. CoRR abs/2309.02784 (2023) - [i35]Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Liang Li, Yifan Lu, Xiangxiang Chu, Yerui Sun, Yuchen Xie:
A Speed Odyssey for Deployable Quantization of LLMs. CoRR abs/2311.09550 (2023) - [i34]Yiming Hu, Xiangxiang Chu, Bo Zhang:
Masked Autoencoders Are Robust Neural Architecture Search Learners. CoRR abs/2311.12086 (2023) - [i33]Shuang Xu, Sifan Zhou, Zhi Tian, Jizhou Ma, Qiong Nie, Xiangxiang Chu:
RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning. CoRR abs/2312.01085 (2023) - [i32]Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu:
Lenna: Language Enhanced Reasoning Detection Assistant. CoRR abs/2312.02433 (2023) - [i31]Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen:
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices. CoRR abs/2312.16886 (2023) - [i30]Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao:
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. CoRR abs/2312.17071 (2023) - 2022
- [c18]Qingyuan Li, Bo Zhang, Xiangxiang Chu:
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. BMVC 2022: 258 - [c17]Xiangxiang Chu, Xiaohang Zhan, Bo Zhang:
A Unified Mixture-View Framework for Unsupervised Representation Learning. BMVC 2022: 447 - [c16]Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CVPR 2022: 11727-11736 - [c15]Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma:
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images. ECCV (9) 2022: 701-717 - [c14]Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu:
SegViT: Semantic Segmentation with Plain Vision Transformers. NeurIPS 2022 - [c13]Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen:
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. NeurIPS 2022 - [i29]Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma:
PromptDet: Expand Your Detector Vocabulary with Uncurated Images. CoRR abs/2203.16513 (2022) - [i28]Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR abs/2204.02547 (2022) - [i27]Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen:
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. CoRR abs/2205.13764 (2022) - [i26]Chuyi Li, Lulu Li, Hongliang Jiang, Kaiheng Weng, Yifei Geng, Liang Li, Zaidan Ke, Qingyuan Li, Meng Cheng, Weiqiang Nie, Yiduo Li, Bo Zhang, Yufei Liang, Linyuan Zhou, Xiaoming Xu, Xiangxiang Chu, Xiaoming Wei, Xiaolin Wei:
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications. CoRR abs/2209.02976 (2022) - [i25]Qingyuan Li, Bo Zhang, Xiangxiang Chu:
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. CoRR abs/2210.00181 (2022) - [i24]Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu:
SegViT: Semantic Segmentation with Plain Vision Transformers. CoRR abs/2210.05844 (2022) - [i23]Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma:
AeDet: Azimuth-invariant Multi-view 3D Object Detection. CoRR abs/2211.12501 (2022) - [i22]Xiangxiang Chu, Liang Li, Bo Zhang:
Make RepVGG Greater Again: A Quantization-aware Approach. CoRR abs/2212.01593 (2022) - 2021
- [c12]Xiangxiang Chu, Bo Zhang:
Noisy Differentiable Architecture Search. BMVC 2021: 217 - [c11]Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang:
AutoKWS: Keyword Spotting with Differentiable Architecture Search. ICASSP 2021: 2830-2834 - [c10]Xiangxiang Chu, Bo Zhang, Ruijun Xu:
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. ICCV 2021: 12219-12228 - [c9]Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li:
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search. ICCVW 2021: 317-325 - [c8]Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. ICLR 2021 - [c7]Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen:
Twins: Revisiting the Design of Spatial Attention in Vision Transformers. NeurIPS 2021: 9355-9366 - [i21]Xiangxiang Chu, Bo Zhang, Zhi Tian, Xiaolin Wei, Huaxia Xia:
Do We Really Need Explicit Position Encodings for Vision Transformers? CoRR abs/2102.10882 (2021) - [i20]Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen:
Twins: Revisiting Spatial Attention Design in Vision Transformers. CoRR abs/2104.13840 (2021) - [i19]Ye Tian, Xiangxiang Chu, Hongpeng Wang:
CCTrans: Simplifying and Improving Crowd Counting with Transformer. CoRR abs/2109.14483 (2021) - [i18]Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang:
DAAS: Differentiable Architecture and Augmentation Policy Search. CoRR abs/2109.15273 (2021) - 2020
- [c6]Hailong Ma, Xiangxiang Chu, Bo Zhang:
Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network. ACCV (2) 2020: 20-35 - [c5]Xiangxiang Chu, Bo Zhang, Ruijun Xu:
Multi-objective Reinforced Evolution in Mobile Neural Architecture Search. ECCV Workshops (4) 2020: 99-113 - [c4]Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li:
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. ECCV (15) 2020: 465-480 - [c3]Xiangxiang Chu, Bo Zhang, Ruijun Xu:
MoGA: Searching Beyond Mobilenetv3. ICASSP 2020: 4042-4046 - [c2]Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li:
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. ICPR 2020: 59-64 - [c1]Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu:
Neural Architecture Search on Acoustic Scene Classification. INTERSPEECH 2020: 1171-1175 - [i17]Xiangxiang Chu, Xudong Li, Yi Lu, Bo Zhang, Jixiang Li:
MixPath: A Unified Approach for One-shot Neural Architecture Search. CoRR abs/2001.05887 (2020) - [i16]Xiangxiang Chu, Bo Zhang, Xudong Li:
Noisy Differentiable Architecture Search. CoRR abs/2005.03566 (2020) - [i15]Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. CoRR abs/2009.01027 (2020) - [i14]Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang:
AutoKWS: Keyword Spotting with Differentiable Architecture Search. CoRR abs/2009.03658 (2020) - [i13]Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang:
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. CoRR abs/2011.11233 (2020) - [i12]Xiangxiang Chu, Xiaohang Zhan, Xiaolin Wei:
Beyond Single Instance Multi-view Unsupervised Representation Learning. CoRR abs/2011.13356 (2020)
2010 – 2019
- 2019
- [i11]Xiangxiang Chu, Bo Zhang, Ruijun Xu, Hailong Ma:
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search. CoRR abs/1901.01074 (2019) - [i10]Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Jixiang Li, Qingyuan Li:
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. CoRR abs/1901.07261 (2019) - [i9]Hailong Ma, Xiangxiang Chu, Bo Zhang, Shaohua Wan, Bo Zhang:
A Matrix-in-matrix Neural Network for Image Super Resolution. CoRR abs/1903.07949 (2019) - [i8]Xiangxiang Chu, Bo Zhang, Ruijun Xu, Jixiang Li:
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. CoRR abs/1907.01845 (2019) - [i7]Xiangxiang Chu, Bo Zhang, Ruijun Xu:
MoGA: Searching Beyond MobileNetV3. CoRR abs/1908.01314 (2019) - [i6]Xiangxiang Chu, Bo Zhang, Jixiang Li, Qingyuan Li, Ruijun Xu:
ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search. CoRR abs/1908.06022 (2019) - [i5]Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li:
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. CoRR abs/1911.12126 (2019) - [i4]Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu:
Neural Architecture Search on Acoustic Scene Classification. CoRR abs/1912.12825 (2019) - 2018
- [i3]Xiangxiang Chu:
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization. CoRR abs/1807.00442 (2018) - [i2]Xiangxiang Chu, Xinjie Yu:
Improved Crowding Distance for NSGA-II. CoRR abs/1811.12667 (2018) - 2017
- [i1]Xiangxiang Chu, Hangjun Ye:
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning. CoRR abs/1710.00336 (2017)
Coauthor Index
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