Xiangxiang Chu

153 papers A* 25A 5B 1Misc 3Journal 111Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? CoRR Liang Lin, Feng Xiong, Zengbin Wang, Kun Wang, Junhao Dong, Xuecai Hu, Yong Wang, Xiangxiang Chu
2026	A*	`conf`	AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting. AAAI Renda Li, Hailang Huang, Fei Wei, Feng Xiong, Yong Wang, Xiangxiang Chu
2026	A*	`conf`	Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty. WWW Yanqi Dai, Yong Wang, Zebin You, Dong Jing, Xiangxiang Chu, Zhiwu Lu
2026	J	`jnl`	Artifact-Aware Evaluation for High-Quality Video Generation. CoRR Chen Zhu, Jiashu Zhu, Yanxun Li, Meiqi Wu, Bingze Song, Chubin Chen, Jiahong Wu, Xiangxiang Chu, Yangang Wang
2026	J	`jnl`	Code2World: A GUI World Model via Renderable Code Generation. CoRR Yuhao Zheng, Li'an Zhong, Yi Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu, Linyuan Lv, Philip Torr, Kevin Qinghong Lin
2026	J	`jnl`	ConceptWeaver: Weaving Disentangled Concepts with Flow. CoRR Jintao Chen, Aiming Hao, Xiaoqing Chen, Chengyu Bai, Chubin Chen, Yanxun Li, Jiahong Wu, Xiangxiang Chu, Shanghang Zhang
2026	J	`jnl`	Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models. CoRR Shidong Yang, Tongwen Huang, Hao Wen, Yong Wang, Li Chen, Xiangxiang Chu
2026	J	`jnl`	Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models. CoRR Zengbin Wang, Xuecai Hu, Yong Wang, Feng Xiong, Man Zhang, Xiangxiang Chu
2026	J	`jnl`	FASA: Frequency-aware Sparse Attention. CoRR Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian J. McAuley
2026	J	`jnl`	FastPillars: A Deployment-Friendly Pillar-Based 3D Detector. IEEE Trans. Circuits Syst. Video Technol. Sifan Zhou, Xinyu Zhang, Xiangxiang Chu, Bo Zhang, Ziyu Zhao, Xiaobo Lu
2026	J	`jnl`	From Scale to Speed: Adaptive Test-Time Scaling for Image Editing. CoRR Xiangyan Qu, Zhenlong Yuan, Jing Tang, Rui Chen, Datao Tang, Meng Yu, Lei Sun, Yancheng Bai, Xiangxiang Chu, Gaopeng Gou, Gang Xiong, Yujun Cai
2026	J	`jnl`	GenMRP: A Generative Multi-Route Planning Framework for Efficient and Personalized Real-Time Industrial Navigation. CoRR Chengzhang Wang, Chao Chen, Jun Tao, Tengfei Liu, He Bai, Song Wang, Longfei Xu, Kaikui Liu, Xiangxiang Chu
2026	J	`jnl`	Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation. CoRR Zihan Su, Hongyang Wei, Kangrui Cen, Yong Wang, Guanhua Chen, Chun Yuan, Xiangxiang Chu
2026	J	`jnl`	Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing. CoRR Jiyuan Wang, Chunyu Lin, Lei Sun, Zhi Cao, YuYang Yin, Lang Nie, Zhenlong Yuan, Xiangxiang Chu, Yunchao Wei, Kang Liao, Guosheng Lin
2026	J	`jnl`	Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation. CoRR Yanqi Dai, Yuxiang Ji, Xiao Zhang, Yong Wang, Xiangxiang Chu, Zhiwu Lu
2026	A*	`conf`	ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints. AAAI Meiqi Wu, Jiashu Zhu, Xiaokun Feng, Chubin Chen, Chen Zhu, Bingze Song, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang
2026	J	`jnl`	IntRR: A Framework for Integrating SID Redistribution and Length Reduction. CoRR Zesheng Wang, Longfei Xu, Weidong Deng, Huimin Yan, Kaikui Liu, Xiangxiang Chu
2026	J	`jnl`	IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation. CoRR Huimin Yan, Longfei Xu, Junjie Sun, Zheng Liu, Wei Luo, Kaikui Liu, Xiangxiang Chu
2026	J	`jnl`	Latent Temporal Discrepancy as Motion Prior: A Loss-Weighting Strategy for Dynamic Fidelity in T2V. CoRR Meiqi Wu, Bingze Song, Ruimin Lin, Chen Zhu, Xiaokun Feng, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang
2026	J	`jnl`	Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers. CoRR Ruidong Chen, Yancheng Bai, Xuanpu Zhang, Jianhao Zeng, Lanjun Wang, Dan Song, Lei Sun, Xiangxiang Chu, Anan Liu
2026	J	`jnl`	MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios. CoRR Zhiheng Song, Jingshuai Zhang, Chuan Qin, Chao Wang, Chao Chen, Longfei Xu, Kaikui Liu, Xiangxiang Chu, Hengshu Zhu
2026	A*	`conf`	Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation. AAAI Fangyuan Mao, Aiming Hao, Jintao Chen, Dongxia Liu, Xiaokun Feng, Jiashu Zhu, Meiqi Wu, Chubin Chen, Jiahong Wu, Xiangxiang Chu
2026	J	`jnl`	Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models. CoRR 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
2026	J	`jnl`	Q-Hawkeye: Reliable Visual Policy Optimization for Image Quality Assessment. CoRR Wulin Xie, Rui Dai, Ruidong Ding, Kaikui Liu, Xiangxiang Chu, Xinwen Hou, Jie Wen
2026	J	`jnl`	Ranking-aware Reinforcement Learning for Ordinal Ranking. CoRR Aiming Hao, Chen Zhu, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu
2026	A*	`conf`	SCALAR: Scale-wise Controllable Visual Autoregressive Learning. AAAI Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu
2026	J	`jnl`	SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation. CoRR Chao Chen, Longfei Xu, Daohan Su, Tengfei Liu, Hanyu Guo, Yihai Duan, Kaikui Liu, Xiangxiang Chu
2026	J	`jnl`	TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution. CoRR Haodong He, Xin Zhan, Yancheng Bai, Rui Lan, Lei Sun, Xiangxiang Chu
2026	J	`jnl`	Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization. CoRR Yuxiang Ji, Yong Wang, Ziyu Ma, Yiming Hu, Hailang Huang, Xuecai Hu, Guanhua Chen, Liaoni Wu, Xiangxiang Chu
2026	J	`jnl`	Urban Socio-Semantic Segmentation with Vision-Language Reasoning. CoRR Yu Wang, Yi Wang, Rui Dai, Yujie Wang, Kaikui Liu, Xiangxiang Chu, Yansheng Li
2026	J	`jnl`	Video-CoE: Reinforcing Video Event Prediction via Chain of Events. CoRR Qile Su, Jing Tang, Rui Chen, Lei Sun, Xiangxiang Chu
2026	J	`jnl`	What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation. CoRR Zhenlong Yuan, Xiangyan Qu, Jing Tang, Rui Chen, Lei Sun, Ruidong Chen, Hongwei Yu, Chengxuan Qian, Xiangxiang Chu, Shuo Li, Yuyin Zhou
2025	J	`jnl`	AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting. CoRR Renda Li, Hailang Huang, Fei Wei, Feng Xiong, Yong Wang, Xiangxiang Chu
2025	J	`jnl`	Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training. CoRR Jiachen Lei, Keli Liu, Julius Berner, Haiming Yu, Hongkai Zheng, Jiahong Wu, Xiangxiang Chu
2025	J	`jnl`	AutoDrive-R CoRR Zhenlong Yuan, Jing Tang, Jinguo Luo, Rui Chen, Chengxuan Qian, Lei Sun, Xiangxiang Chu, Yujun Cai, Dapeng Zhang, Shuo Li
2025	J	`jnl`	Comprehensive Comparison Network: a framework for locality-aware, routes-comparable and interpretable route recommendation. CoRR Chao Chen, Longfei Xu, Hanyu Guo, Chengzhang Wang, Ying Wang, Kaikui Liu, Xiangxiang Chu
2025	A	`conf`	Contrastive Instruction Fine-Tuning Large Multimodal Model for Hateful Meme Classification. ICWSM Ming Shan Hee, Zihan Gao, Yinglong Wang, Xiangxiang Chu, Roy Ka-Wei Lee, Zengchang Qin
2025	—	`conf`	DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking. WWW (Companion Volume) Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Kaikui Liu, Fan Yang, Xiangxiang Chu, Ning Guo
2025	J	`jnl`	Eevee: Towards Close-up High-resolution Video-based Virtual Try-on. CoRR Jianhao Zeng, Yancheng Bai, Ruidong Chen, Xuanpu Zhang, Lei Sun, Dongyang Jin, Ryan Xu, Nannan Zhang, Dan Song, Xiangxiang Chu
2025	J	`jnl`	Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion. CoRR Xinyan Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu
2025	J	`jnl`	FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing. CoRR Rui Lan, Yancheng Bai, Xu Duan, Mingxing Li, Lei Sun, Xiangxiang Chu
2025	A*	`conf`	FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos. ACM Multimedia Rui Chen, Lei Sun, Jing Tang, Geng Li, Xiangxiang Chu
2025	J	`jnl`	FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos. CoRR Rui Chen, Lei Sun, Jing Tang, Gen Li, Xiangxiang Chu
2025	J	`jnl`	From Editor to Dense Geometry Estimator. CoRR Jiyuan Wang, Chunyu Lin, Lei Sun, Rongying Liu, Lang Nie, Mingxing Li, Kang Liao, Xiangxiang Chu, Yao Zhao
2025	J	`jnl`	GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning. CoRR Xiangxiang Chu, Hailang Huang, Xiao Zhang, Fei Wei, Yong Wang
2025	J	`jnl`	HS-STAR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation. CoRR Feng Xiong, Hongling Xu, Yifei Wang, Runxi Cheng, Yong Wang, Xiangxiang Chu
2025	A*	`conf`	HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation. EMNLP Feng Xiong, Hongling Xu, Yifei Wang, Runxi Cheng, Yong Wang, Xiangxiang Chu
2025	J	`jnl`	ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints. CoRR Meiqi Wu, Jiashu Zhu, Xiaokun Feng, Chubin Chen, Chen Zhu, Bingze Song, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang
2025	J	`jnl`	IntSR: An Integrated Generative Framework for Search and Recommendation. CoRR Huimin Yan, Longfei Xu, Junjie Sun, Ni Ou, Wei Luo, Xing Tan, Ran Cheng, Kaikui Liu, Xiangxiang Chu
2025	J	`jnl`	LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling. CoRR Huaqiu Li, Yong Wang, Tongwen Huang, Hailang Huang, Haoqian Wang, Xiangxiang Chu
2025	Misc	`conf`	Lenna: Language Enhanced Reasoning Detection Assistant. ICASSP Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu
2025	J	`jnl`	NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation Models. CoRR Xiaokun Feng, Haiming Yu, Meiqi Wu, Shiyu Hu, Jintao Chen, Chen Zhu, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang
2025	J	`jnl`	Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model. CoRR Mingxing Li, Rui Wang, Lei Sun, Yancheng Bai, Xiangxiang Chu
2025	J	`jnl`	Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation. CoRR Fangyuan Mao, Aiming Hao, Jintao Chen, Dongxia Liu, Xiaokun Feng, Jiashu Zhu, Meiqi Wu, Chubin Chen, Jiahong Wu, Xiangxiang Chu
2025	A*	`conf`	POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation. EMNLP Yifei Wang, Feng Xiong, Yong Wang, Linjing Li, Xiangxiang Chu, Daniel Dajun Zeng
2025	J	`jnl`	Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation. CoRR Yifei Wang, Feng Xiong, Yong Wang, Linjing Li, Xiangxiang Chu, Daniel Dajun Zeng
2025	J	`jnl`	RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution. CoRR Haodong He, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu, Gui-Song Xia
2025	J	`jnl`	S CoRR Chubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang, Meiqi Wu, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Xiu Li
2025	J	`jnl`	SCALAR: Scale-wise Controllable Visual Autoregressive Learning. CoRR Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu
2025	J	`jnl`	Semantic Context Matters: Improving Conditioning for Autoregressive Models. CoRR Dongyang Jin, Ryan Xu, Jianhao Zeng, Rui Lan, Yancheng Bai, Lei Sun, Xiangxiang Chu
2025	J	`jnl`	Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation. CoRR Zhe Huang, Hao Wen, Aiming Hao, Bingze Song, Meiqi Wu, Jiahong Wu, Xiangxiang Chu, Sheng Lu, Haoqian Wang
2025	J	`jnl`	Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning. CoRR Chubin Chen, Sujie Hu, Jiashu Zhu, Meiqi Wu, Jintao Chen, Yanxun Li, Nisha Huang, Chengyu Fang, Jiahong Wu, Xiangxiang Chu, Xiu Li
2025	A*	`conf`	Towards Efficient Foundation Model for Zero-shot Amodal Segmentation. CVPR Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Lin Ma, Tingting Jiang
2025	J	`jnl`	Tree Search for LLM Agent Reinforcement Learning. CoRR Yuxiang Ji, Ziyu Ma, Yong Wang, Guanhua Chen, Xiangxiang Chu, Liaoni Wu
2025	J	`jnl`	UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement. CoRR Xiao Zhang, Fei Wei, Yong Wang, Wenda Zhao, Feiyi Li, Xiangxiang Chu
2025	J	`jnl`	USP: Unified Self-Supervised Pretraining for Image Generation and Understanding. CoRR Xiangxiang Chu, Renda Li, Yong Wang
2025	J	`jnl`	UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning. CoRR Sule Bai, Mingxing Li, Yong Liu, Jing Tang, Haoji Zhang, Lei Sun, Xiangxiang Chu, Yansong Tang
2025	J	`jnl`	VMBench: A Benchmark for Perception-Aligned Video Motion Generation. CoRR Xinran Ling, Chen Zhu, Meiqi Wu, Hangyu Li, Xiaokun Feng, Cundian Yang, Aiming Hao, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu
2025	J	`jnl`	Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools. CoRR Zhenlong Yuan, Xiangyan Qu, Chengxuan Qian, Rui Chen, Jing Tang, Lei Sun, Xiangxiang Chu, Dapeng Zhang, Yiwei Wang, Yujun Cai, Shuo Li
2025	J	`jnl`	Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning. CoRR Ziyu Ma, Chenhui Gou, Yiming Hu, Yong Wang, Xiangxiang Chu, Bohan Zhuang, Jianfei Cai
2024	J	`jnl`	AODet: Aerial Object Detection Using Transformers for Foreground Regions. IEEE Trans. Geosci. Remote. Sens. Xiaoming Wang, Hao Chen, Xiangxiang Chu, Peng Wang
2024	J	`jnl`	AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning. CoRR Di Qiu, Xinyang Lin, Kaiye Wang, Xiangxiang Chu, Pengfei Yan
2024	J	`jnl`	DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow. CoRR Hangyu Li, Xiangxiang Chu, Dingyuan Shi
2024	—	`conf`	Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition. ECCV (71) Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song
2024	J	`jnl`	Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition. CoRR Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song
2024	A*	`conf`	LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection. ICLR Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
2024	J	`jnl`	LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection. CoRR Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
2024	J	`jnl`	LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge. CoRR Yuhe Liu, Mengxue Kang, Zengchang Qin, Xiangxiang Chu
2024	J	`jnl`	MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective. CoRR Hailang Huang, Yong Wang, Zixuan Huang, Huaqiu Li, Tongwen Huang, Xiangxiang Chu, Richong Zhang
2024	A*	`conf`	Make RepVGG Greater Again: A Quantization-Aware Approach. AAAI Xiangxiang Chu, Liang Li, Bo Zhang
2024	J	`jnl`	MobileVLM V2: Faster and Stronger Baseline for Vision Language Model. CoRR Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen
2024	A*	`conf`	Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models. AAAI Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu
2024	J	`jnl`	PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus. CoRR Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Tingting Jiang
2024	A*	`conf`	PeLK: Parameter-Efficient Large Kernel ConvNets with Peripheral Convolution. CVPR Honghao Chen, Xiangxiang Chu, Yongjian Ren, Xin Zhao, Kaiqi Huang
2024	J	`jnl`	PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution. CoRR Honghao Chen, Xiangxiang Chu, Yongjian Ren, Xin Zhao, Kaiqi Huang
2024	J	`jnl`	Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation. CoRR Dingyuan Shi, Yong Wang, Hangyu Li, Xiangxiang Chu
2024	A*	`conf`	Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness. ICML Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang
2024	J	`jnl`	Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness. CoRR Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang
2024	A*	`conf`	SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. AAAI Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao
2024	—	`conf`	VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks. ECCV (66) Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen
2024	J	`jnl`	VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. CoRR Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen
2023	J	`jnl`	A Speed Odyssey for Deployable Quantization of LLMs. CoRR Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Liang Li, Yifan Lu, Xiangxiang Chu, Yerui Sun, Yuchen Xie
2023	A*	`conf`	AeDet: Azimuth-Invariant Multi-View 3D Object Detection. CVPR Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma
2023	A*	`conf`	Conditional Positional Encodings for Vision Transformers. ICLR Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen
2023	J	`jnl`	EfficientRep: An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design. CoRR Kaiheng Weng, Xiangxiang Chu, Xiaoming Xu, Junshi Huang, Xiaoming Wei
2023	J	`jnl`	FPTQ: Fine-grained Post-Training Quantization for Large Language Models. CoRR Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie
2023	J	`jnl`	FastPillars: A Deployment-friendly Pillar-based 3D Detector. CoRR Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma
2023	J	`jnl`	Lenna: Language Enhanced Reasoning Detection Assistant. CoRR Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu
2023	J	`jnl`	Masked Autoencoders Are Robust Neural Architecture Search Learners. CoRR Yiming Hu, Xiangxiang Chu, Bo Zhang
2023	A*	`conf`	MixPath: A Unified Approach for One-shot Neural Architecture Search. ICCV Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang
2023	J	`jnl`	MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices. CoRR Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen
2023	J	`jnl`	Norm Tweaking: High-performance Low-bit Quantization of Large Language Models. CoRR Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu
2023	A*	`conf`	ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. ICCV Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan
2023	J	`jnl`	RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning. CoRR Shuang Xu, Sifan Zhou, Zhi Tian, Jizhou Ma, Qiong Nie, Xiangxiang Chu
2023	J	`jnl`	SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. CoRR Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao
2023	J	`jnl`	YOLOv6 v3.0: A Full-Scale Reloading. CoRR Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu
2022	A	`conf`	A Unified Mixture-View Framework for Unsupervised Representation Learning. BMVC Xiangxiang Chu, Xiaohang Zhan, Bo Zhang
2022	J	`jnl`	AeDet: Azimuth-invariant Multi-view 3D Object Detection. CoRR Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma
2022	A	`conf`	EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. BMVC Qingyuan Li, Bo Zhang, Xiangxiang Chu
2022	J	`jnl`	EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. CoRR Qingyuan Li, Bo Zhang, Xiangxiang Chu
2022	A*	`conf`	Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. NeurIPS Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen
2022	J	`jnl`	Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. CoRR Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen
2022	J	`jnl`	Make RepVGG Greater Again: A Quantization-aware Approach. CoRR Xiangxiang Chu, Liang Li, Bo Zhang
2022	A*	`conf`	Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CVPR Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
2022	J	`jnl`	Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
2022	J	`jnl`	PromptDet: Expand Your Detector Vocabulary with Uncurated Images. CoRR Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma
2022	—	`conf`	PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images. ECCV (9) Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma
2022	A*	`conf`	SegViT: Semantic Segmentation with Plain Vision Transformers. NeurIPS Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu
2022	J	`jnl`	SegViT: Semantic Segmentation with Plain Vision Transformers. CoRR Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu
2022	J	`jnl`	YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications. CoRR 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
2021	Misc	`conf`	AutoKWS: Keyword Spotting with Differentiable Architecture Search. ICASSP Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang
2021	J	`jnl`	CCTrans: Simplifying and Improving Crowd Counting with Transformer. CoRR Ye Tian, Xiangxiang Chu, Hongpeng Wang
2021	J	`jnl`	DAAS: Differentiable Architecture and Augmentation Policy Search. CoRR Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang
2021	A*	`conf`	DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. ICLR Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
2021	J	`jnl`	Do We Really Need Explicit Position Encodings for Vision Transformers? CoRR Xiangxiang Chu, Bo Zhang, Zhi Tian, Xiaolin Wei, Huaxia Xia
2021	A*	`conf`	FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. ICCV Xiangxiang Chu, Bo Zhang, Ruijun Xu
2021	A	`conf`	Noisy Differentiable Architecture Search. BMVC Xiangxiang Chu, Bo Zhang
2021	—	`conf`	SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search. ICCVW Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
2021	J	`jnl`	Twins: Revisiting Spatial Attention Design in Vision Transformers. CoRR Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
2021	A*	`conf`	Twins: Revisiting the Design of Spatial Attention in Vision Transformers. NeurIPS Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
2020	—	`conf`	Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network. ACCV (2) Hailong Ma, Xiangxiang Chu, Bo Zhang
2020	J	`jnl`	AutoKWS: Keyword Spotting with Differentiable Architecture Search. CoRR Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang
2020	J	`jnl`	Beyond Single Instance Multi-view Unsupervised Representation Learning. CoRR Xiangxiang Chu, Xiaohang Zhan, Xiaolin Wei
2020	J	`jnl`	DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. CoRR Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
2020	—	`conf`	Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. ECCV (15) Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
2020	B	`conf`	Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. ICPR Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li
2020	J	`jnl`	MixPath: A Unified Approach for One-shot Neural Architecture Search. CoRR Xiangxiang Chu, Xudong Li, Yi Lu, Bo Zhang, Jixiang Li
2020	Misc	`conf`	MoGA: Searching Beyond Mobilenetv3. ICASSP Xiangxiang Chu, Bo Zhang, Ruijun Xu
2020	—	`conf`	Multi-objective Reinforced Evolution in Mobile Neural Architecture Search. ECCV Workshops (4) Xiangxiang Chu, Bo Zhang, Ruijun Xu
2020	A	`conf`	Neural Architecture Search on Acoustic Scene Classification. INTERSPEECH Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu
2020	J	`jnl`	Noisy Differentiable Architecture Search. CoRR Xiangxiang Chu, Bo Zhang, Xudong Li
2020	J	`jnl`	ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. CoRR Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang
2019	J	`jnl`	A Matrix-in-matrix Neural Network for Image Super Resolution. CoRR Hailong Ma, Xiangxiang Chu, Bo Zhang, Shaohua Wan, Bo Zhang
2019	J	`jnl`	Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. CoRR Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
2019	J	`jnl`	FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. CoRR Xiangxiang Chu, Bo Zhang, Ruijun Xu, Jixiang Li
2019	J	`jnl`	Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. CoRR Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Jixiang Li, Qingyuan Li
2019	J	`jnl`	MoGA: Searching Beyond MobileNetV3. CoRR Xiangxiang Chu, Bo Zhang, Ruijun Xu
2019	J	`jnl`	Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search. CoRR Xiangxiang Chu, Bo Zhang, Ruijun Xu, Hailong Ma
2019	J	`jnl`	Neural Architecture Search on Acoustic Scene Classification. CoRR Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu
2019	J	`jnl`	ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search. CoRR Xiangxiang Chu, Bo Zhang, Jixiang Li, Qingyuan Li, Ruijun Xu
2018	J	`jnl`	Improved Crowding Distance for NSGA-II. CoRR Xiangxiang Chu, Xinjie Yu
2018	J	`jnl`	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization. CoRR Xiangxiang Chu
2017	J	`jnl`	Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning. CoRR Xiangxiang Chu, Hangjun Ye