Xiangxiang Chu

According to our database, Xiangxiang Chu authored at least 146 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation.

Hanyu Guo, Jiedong Yang, Chao Chen, Longfei Xu, Kaikui Liu, Xiangxiang Chu

CoRR, May, 2026

RISE: Reliable Improvement in Self-Evolving Vision-Language Models.

Chaoran Xu, Yingmao Miao, Pengfei Zhang, Hao Dou, Lei Sun, Xiangxiang Chu

CoRR, May, 2026

SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering.

Qingnan Ren, Shun Zou, Shiting Huang, Ziao Zhang, Kou Shi, Zhen Fang, Yiming Zhao, Yu Zeng, Qisheng Su, Lin Chen, Yong Wang, Zehui Chen, Xiangxiang Chu, Feng Zhao

CoRR, May, 2026

D²Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning.

Ru Zhang, Renda Li, Ziyu Ma, Weijie Qiu, Chongyang Tao, Yong Wang, Xiangxiang Chu

CoRR, May, 2026

Embedding-perturbed Exploration Preference Optimization for Flow Models.

Sujie Hu, Chubin Chen, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, May, 2026

Learning Agentic Policy from Action Guidance.

Yuxiang Ji, Zengbin Wang, Yong Wang, Shidong Yang, Ziyu Ma, Guanhua Chen, Zonghua Sun, Liaoni Wu, Xiangxiang Chu

CoRR, May, 2026

Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution.

Feng Xiong, Zengbin Wang, Yong Wang, Xuecai Hu, Jinghan He, Liang Lin, Yuan Liu, Xiangxiang Chu

CoRR, May, 2026

FastPillars: A Deployment-Friendly Pillar-Based 3D Detector.

Sifan Zhou, Xinyu Zhang, Xiangxiang Chu, Bo Zhang, Ziyu Zhao, Xiaobo Lu

IEEE Trans. Circuits Syst. Video Technol., April, 2026

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation.

Chenxi Zhao, Chen Zhu, Xiaokun Feng, Aiming Hao, Jiashu Zhu, Jiachen Lei, Jiahong Wu, Xiangxiang Chu, Jufeng Yang

CoRR, April, 2026

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics.

Yueyang Ding, Haopeng Zhang, Rui Dai, Yi Wang, Tianyu Zong, Kaikui Liu, Xiangxiang Chu

CoRR, April, 2026

Elucidating the SNR-t Bias of Diffusion Probabilistic Models.

Meng Yu, Lei Sun, Jianhao Zeng, Xiangxiang Chu, Kun Zhan

CoRR, April, 2026

CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution.

Shidong Yang, Ziyu Ma, Tongwen Huang, Yiming Hu, Yong Wang, Xiangxiang Chu

CoRR, April, 2026

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning.

Yudong Han, Yong Wang, Zaiquan Yang, Zhen Qu, Liyuan Pan, Xiangxiang Chu

CoRR, April, 2026

Visually-Guided Policy Optimization for Multimodal Reasoning.

Zengbin Wang, Feng Xiong, Liang Lin, Xuecai Hu, Yong Wang, Yanlin Wang, Man Zhang, Xiangxiang Chu

CoRR, April, 2026

Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models.

Shun Zou, Yong Wang, Zehui Chen, Lin Chen, Chongyang Tao, Feng Zhao, Xiangxiang Chu

CoRR, April, 2026

SkillClaw: Let Skills Evolve Collectively with Agentic Evolver.

Ziyu Ma, Shidong Yang, Yuxiang Ji, Xucong Wang, Yong Wang, Yiming Hu, Tongwen Huang, Xiangxiang Chu

CoRR, April, 2026

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation.

Xiaoxiao Ma, Jiachen Lei, Tianfei Ren, Jie Huang, Siming Fu, Aiming Hao, Jiahong Wu, Xiangxiang Chu, Feng Zhao

CoRR, April, 2026

ConceptWeaver: Weaving Disentangled Concepts with Flow.

Jintao Chen, Aiming Hao, Xiaoqing Chen, Chengyu Bai, Chubin Chen, Yanxun Li, Jiahong Wu, Xiangxiang Chu, Shanghang Zhang

CoRR, March, 2026

Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models.

Meiqi Wu, Zhixin Cai, Fufangchen Zhao, Xiaokun Feng, Rujing Dang, Bingze Song, Ruitian Tian, Jiashu Zhu, Jiachen Lei, Hao Dou, Jing Tang, Lei Sun, Jiahong Wu, Xiangxiang Chu, Zeming Liu, Kaiqi Huang

CoRR, March, 2026

Video-CoE: Reinforcing Video Event Prediction via Chain of Events.

Qile Su, Jing Tang, Rui Chen, Lei Sun, Xiangxiang Chu

CoRR, March, 2026

Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers.

Ruidong Chen, Yancheng Bai, Xuanpu Zhang, Jianhao Zeng, Lanjun Wang, Dan Song, Lei Sun, Xiangxiang Chu, Anan Liu

CoRR, March, 2026

Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing.

Jiyuan Wang, Chunyu Lin, Lei Sun, Zhi Cao, Yuyang Yin, Lang Nie, Zhenlong Yuan, Xiangxiang Chu, Yunchao Wei, Kang Liao, Guosheng Lin

CoRR, March, 2026

From Scale to Speed: Adaptive Test-Time Scaling for Image Editing.

Xiangyan Qu, Zhenlong Yuan, Jing Tang, Rui Chen, Datao Tang, Meng Yu, Lei Sun, Yancheng Bai, Xiangxiang Chu, Gaopeng Gou, Gang Xiong, Yujun Cai

CoRR, March, 2026

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios.

Zhiheng Song, Jingshuai Zhang, Chuan Qin, Chao Wang, Chao Chen, Longfei Xu, Kaikui Liu, Xiangxiang Chu, Hengshu Zhu

CoRR, February, 2026

IntRR: A Framework for Integrating SID Redistribution and Length Reduction.

Zesheng Wang, Longfei Xu, Weidong Deng, Huimin Yan, Kaikui Liu, Xiangxiang Chu

CoRR, February, 2026

IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation.

Huimin Yan, Longfei Xu, Junjie Sun, Zheng Liu, Wei Luo, Kaikui Liu, Xiangxiang Chu

CoRR, February, 2026

What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation.

Zhenlong Yuan, Xiangyan Qu, Jing Tang, Rui Chen, Lei Sun, Ruidong Chen, Hongwei Yu, Chengxuan Qian, Xiangxiang Chu, Shuo Li, Yuyin Zhou

CoRR, February, 2026

Code2World: A GUI World Model via Renderable Code Generation.

Yuhao Zheng, Li'an Zhong, Yi Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu, Linyuan Lv, Philip Torr, Kevin Qinghong Lin

CoRR, February, 2026

GenMRP: A Generative Multi-Route Planning Framework for Efficient and Personalized Real-Time Industrial Navigation.

Chengzhang Wang, Chao Chen, Jun Tao, Tengfei Liu, He Bai, Song Wang, Longfei Xu, Kaikui Liu, Xiangxiang Chu

CoRR, February, 2026

SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation.

Chao Chen, Longfei Xu, Daohan Su, Tengfei Liu, Hanyu Guo, Yihai Duan, Kaikui Liu, Xiangxiang Chu

CoRR, February, 2026

FASA: Frequency-aware Sparse Attention.

Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian J. McAuley

CoRR, February, 2026

AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models?

Liang Lin, Feng Xiong, Zengbin Wang, Kun Wang, Junhao Dong, Xuecai Hu, Yong Wang, Xiangxiang Chu

CoRR, February, 2026

Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models.

Shidong Yang, Tongwen Huang, Hao Wen, Yong Wang, Li Chen, Xiangxiang Chu

CoRR, February, 2026

Q-Hawkeye: Reliable Visual Policy Optimization for Image Quality Assessment.

Wulin Xie, Rui Dai, Ruidong Ding, Kaikui Liu, Xiangxiang Chu, Xinwen Hou, Jie Wen

CoRR, January, 2026

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation.

Zihan Su, Hongyang Wei, Kangrui Cen, Yong Wang, Guanhua Chen, Chun Yuan, Xiangxiang Chu

CoRR, January, 2026

Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation.

Yanqi Dai, Yuxiang Ji, Xiao Zhang, Yong Wang, Xiangxiang Chu, Zhiwu Lu

CoRR, January, 2026

Ranking-aware Reinforcement Learning for Ordinal Ranking.

Aiming Hao, Chen Zhu, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu

CoRR, January, 2026

Latent Temporal Discrepancy as Motion Prior: A Loss-Weighting Strategy for Dynamic Fidelity in T2V.

Meiqi Wu, Bingze Song, Ruimin Lin, Chen Zhu, Xiaokun Feng, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang

CoRR, January, 2026

Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models.

Zengbin Wang, Xuecai Hu, Yong Wang, Feng Xiong, Man Zhang, Xiangxiang Chu

CoRR, January, 2026

Artifact-Aware Evaluation for High-Quality Video Generation.

Chen Zhu, Jiashu Zhu, Yanxun Li, Meiqi Wu, Bingze Song, Chubin Chen, Jiahong Wu, Xiangxiang Chu, Yangang Wang

CoRR, January, 2026

TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution.

Haodong He, Xin Zhan, Yancheng Bai, Rui Lan, Lei Sun, Xiangxiang Chu

CoRR, January, 2026

Urban Socio-Semantic Segmentation with Vision-Language Reasoning.

Yu Wang, Yi Wang, Rui Dai, Yujie Wang, Kaikui Liu, Xiangxiang Chu, Yansheng Li

CoRR, January, 2026

Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization.

Yuxiang Ji, Yong Wang, Ziyu Ma, Yiming Hu, Hailang Huang, Xuecai Hu, Guanhua Chen, Liaoni Wu, Xiangxiang Chu

CoRR, January, 2026

Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty.

Yanqi Dai, Yong Wang, Zebin You, Dong Jing, Xiangxiang Chu, Zhiwu Lu

Proceedings of the ACM Web Conference 2026, 2026

SCALAR: Scale-wise Controllable Visual Autoregressive Learning.

Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints.

Meiqi Wu, Jiashu Zhu, Xiaokun Feng, Chubin Chen, Chen Zhu, Bingze Song, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting.

Renda Li, Hailang Huang, Fei Wei, Feng Xiong, Yong Wang, Xiangxiang Chu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation.

Zhe Huang, Hao Wen, Aiming Hao, Bingze Song, Meiqi Wu, Jiahong Wu, Xiangxiang Chu, Sheng Lu, Haoqian Wang

CoRR, December, 2025

Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning.

Chubin Chen, Sujie Hu, Jiashu Zhu, Meiqi Wu, Jintao Chen, Yanxun Li, Nisha Huang, Chengyu Fang, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, December, 2025

Eevee: Towards Close-up High-resolution Video-based Virtual Try-on.

Jianhao Zeng, Yancheng Bai, Ruidong Chen, Xuanpu Zhang, Lei Sun, Dongyang Jin, Ryan Xu, Nannan Zhang, Dan Song, Xiangxiang Chu

CoRR, November, 2025

Semantic Context Matters: Improving Conditioning for Autoregressive Models.

Dongyang Jin, Ryan Xu, Jianhao Zeng, Rui Lan, Yancheng Bai, Lei Sun, Xiangxiang Chu

CoRR, November, 2025

Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning.

Ziyu Ma, Chenhui Gou, Yiming Hu, Yong Wang, Xiangxiang Chu, Bohan Zhuang, Jianfei Cai

CoRR, November, 2025

Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training.

Jiachen Lei, Keli Liu, Julius Berner, Haiming Yu, Hongkai Zheng, Jiahong Wu, Xiangxiang Chu

CoRR, October, 2025

Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools.

Zhenlong Yuan, Xiangyan Qu, Chengxuan Qian, Rui Chen, Jing Tang, Lei Sun, Xiangxiang Chu, Dapeng Zhang, Yiwei Wang, Yujun Cai, Shuo Li

CoRR, October, 2025

Tree Search for LLM Agent Reinforcement Learning.

Yuxiang Ji, Ziyu Ma, Yong Wang, Guanhua Chen, Xiangxiang Chu, Liaoni Wu

CoRR, September, 2025

IntSR: An Integrated Generative Framework for Search and Recommendation.

Huimin Yan, Longfei Xu, Junjie Sun, Ni Ou, Wei Luo, Xing Tan, Ran Cheng, Kaikui Liu, Xiangxiang Chu

CoRR, September, 2025

From Editor to Dense Geometry Estimator.

Jiyuan Wang, Chunyu Lin, Lei Sun, Rongying Liu, Lang Nie, Mingxing Li, Kang Liao, Xiangxiang Chu, Yao Zhao

CoRR, September, 2025

AutoDrive-R²: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving.

Zhenlong Yuan, Jing Tang, Jinguo Luo, Rui Chen, Chengxuan Qian, Lei Sun, Xiangxiang Chu, Yujun Cai, Dapeng Zhang, Shuo Li

CoRR, September, 2025

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution.

Haodong He, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu, Gui-Song Xia

CoRR, August, 2025

Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation.

Yifei Wang, Feng Xiong, Yong Wang, Linjing Li, Xiangxiang Chu, Daniel Dajun Zeng

CoRR, August, 2025

S²-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models.

Chubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang, Meiqi Wu, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, August, 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, August, 2025

NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation Models.

Xiaokun Feng, Haiming Yu, Meiqi Wu, Shiyu Hu, Jintao Chen, Chen Zhu, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang

CoRR, July, 2025

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning.

Sule Bai, Mingxing Li, Yong Liu, Jing Tang, Haoji Zhang, Lei Sun, Xiangxiang Chu, Yansong Tang

CoRR, May, 2025

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion.

Xinyan Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu

CoRR, May, 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, May, 2025

FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos.

Rui Chen, Lei Sun, Jing Tang, Gen Li, Xiangxiang Chu

CoRR, April, 2025

GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning.

Xiangxiang Chu, Hailang Huang, Xiao Zhang, Fei Wei, Yong Wang

CoRR, April, 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, March, 2025

DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking.

Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Kaikui Liu, Fan Yang, Xiangxiang Chu, Ning Guo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos.

Rui Chen, Lei Sun, Jing Tang, Geng Li, Xiangxiang Chu

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

USP: Unified Self-Supervised Pretraining for Image Generation and Understanding.

Xiangxiang Chu, Renda Li, Yong Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Lenna: Language Enhanced Reasoning Detection Assistant.

Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu

Proceedings of the 2025 IEEE International Conference on Acoustics, 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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation.

Yifei Wang, Feng Xiong, Yong Wang, Linjing Li, Xiangxiang Chu, Daniel Dajun Zeng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards Efficient Foundation Model for Zero-shot Amodal Segmentation.

Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Lin Ma, Tingting Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

AODet: Aerial Object Detection Using Transformers for Foreground Regions.

Xiaoming Wang, Hao Chen, Xiangxiang Chu, Peng Wang

IEEE Trans. Geosci. Remote. Sens., 2024

Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation.

Dingyuan Shi, Yong Wang, Hangyu Li, Xiangxiang Chu

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

DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow.

Hangyu Li, Xiangxiang Chu, Dingyuan Shi

CoRR, 2024

PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus.

Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Tingting Jiang

CoRR, 2024

AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning.

Di Qiu, Xinyang Lin, Kaiye Wang, Xiangxiang Chu, Pengfei Yan

CoRR, 2024

LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge.

Yuhe Liu, Mengxue Kang, Zengchang Qin, Xiangxiang Chu

CoRR, 2024

VisionLLaMA: A Unified LLaMA Interface for Vision Tasks.

Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen

CoRR, 2024

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.

Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen

CoRR, 2024

Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness.

Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.

Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition.

Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song

Proceedings of the Computer Vision - ECCV 2024, 2024

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks.

Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2024, 2024

PeLK: Parameter-Efficient Large Kernel ConvNets with Peripheral Convolution.

Honghao Chen, Xiangxiang Chu, Yongjian Ren, Xin Zhao, Kaiqi Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models.

Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Make RepVGG Greater Again: A Quantization-Aware Approach.

Xiangxiang Chu, Liang Li, Bo Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen

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

Masked Autoencoders Are Robust Neural Architecture Search Learners.

Yiming Hu, Xiangxiang Chu, Bo Zhang

CoRR, 2023

A Speed Odyssey for Deployable Quantization of LLMs.

Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Liang Li, Yifan Lu, Xiangxiang Chu, Yerui Sun, Yuchen Xie

CoRR, 2023

FPTQ: Fine-grained Post-Training Quantization for Large Language Models.

Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie

CoRR, 2023

FastPillars: A Deployment-friendly Pillar-based 3D Detector.

Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma

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

YOLOv6 v3.0: A Full-Scale Reloading.

Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu

CoRR, 2023

Conditional Positional Encodings for Vision Transformers.

Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation.

Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixPath: A Unified Approach for One-shot Neural Architecture Search.

Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AeDet: Azimuth-Invariant Multi-View 3D Object Detection.

Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

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

CoRR, 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

CoRR, 2022

Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images.

Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SegViT: Semantic Segmentation with Plain Vision Transformers.

Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation.

Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

EAPruning: Evolutionary Pruning for Vision Transformers and CNNs.

Qingyuan Li, Bo Zhang, Xiangxiang Chu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Unified Mixture-View Framework for Unsupervised Representation Learning.

Xiangxiang Chu, Xiaohang Zhan, Bo Zhang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

DAAS: Differentiable Architecture and Augmentation Policy Search.

Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang

CoRR, 2021

CCTrans: Simplifying and Improving Crowd Counting with Transformer.

Ye Tian, Xiangxiang Chu, Hongpeng Wang

CoRR, 2021

Twins: Revisiting Spatial Attention Design in Vision Transformers.

Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen

CoRR, 2021

Do We Really Need Explicit Position Encodings for Vision Transformers?

Xiangxiang Chu, Bo Zhang, Zhi Tian, Xiaolin Wei, Huaxia Xia

CoRR, 2021

Twins: Revisiting the Design of Spatial Attention in Vision Transformers.

Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators.

Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan

Proceedings of the 9th International Conference on Learning Representations, 2021

SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Ruijun Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AutoKWS: Keyword Spotting with Differentiable Architecture Search.

Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Noisy Differentiable Architecture Search.

Xiangxiang Chu, Bo Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Beyond Single Instance Multi-view Unsupervised Representation Learning.

Xiangxiang Chu, Xiaohang Zhan, Xiaolin Wei

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

CoRR, 2020

Noisy Differentiable Architecture Search.

Xiangxiang Chu, Bo Zhang, Xudong Li

CoRR, 2020

MixPath: A Unified Approach for One-shot Neural Architecture Search.

Xiangxiang Chu, Xudong Li, Yi Lu, Bo Zhang, Jixiang Li

CoRR, 2020

Neural Architecture Search on Acoustic Scene Classification.

Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

MoGA: Searching Beyond Mobilenetv3.

Xiangxiang Chu, Bo Zhang, Ruijun Xu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search.

Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li

Proceedings of the Computer Vision - ECCV 2020, 2020

Multi-objective Reinforced Evolution in Mobile Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Ruijun Xu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network.

Hailong Ma, Xiangxiang Chu, Bo Zhang

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Jixiang Li, Qingyuan Li, Ruijun Xu

CoRR, 2019

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Ruijun Xu, Jixiang Li

CoRR, 2019

A Matrix-in-matrix Neural Network for Image Super Resolution.

Hailong Ma, Xiangxiang Chu, Bo Zhang, Shaohua Wan, Bo Zhang

CoRR, 2019

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Jixiang Li, Qingyuan Li

CoRR, 2019

Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search.

Xiangxiang Chu, Bo Zhang, Ruijun Xu, Hailong Ma

CoRR, 2019

2018

Improved Crowding Distance for NSGA-II.

Xiangxiang Chu, Xinjie Yu

CoRR, 2018

Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization.

Xiangxiang Chu

CoRR, 2018

2017

Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning.

Xiangxiang Chu, Hangjun Ye

CoRR, 2017