| 2026 | AAAI | AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting. | Renda Li, Hailang Huang, Fei Wei, Feng Xiong, Yong Wang, Xiangxiang Chu |
| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | AAAI | SCALAR: Scale-wise Controllable Visual Autoregressive Learning. | Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu |
| 2026 | ACL | 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 |
| 2026 | ACL | 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 |
| 2026 | ACL | Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval. | Nan Sun, Jing Tang, Lei Sun, Rui Chen, Yuxing Lu, Xiangxiang Chu, Hefei Ling, Yujun Cai |
| 2026 | ACL | Visually-Guided Policy Optimization for Multimodal Reasoning. | Zengbin Wang, Feng Xiong, Liang Lin, Xuecai Hu, Yong Wang, Yanlin Wang, Man Zhang, Xiangxiang Chu |
| 2026 | ACL | CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution. | Shidong Yang, Ziyu Ma, Tongwen Huang, Yiming Hu, Yong Wang, Xiangxiang Chu |
| 2026 | ACL | L2Dir: Integrating L_2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval. | Tianyu Zong, Rui Dai, Hongzhu Yi, Yuanxiang Wang, Zhenghao Zhang, Zhenyu Guan, Yujia Yang, Bingkang Shi, Yueyang Ding, Xiangxiang Chu, Kaikui Liu, Jungang Xu |
| 2026 | ACL | 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 |
| 2026 | SIGGRAPH | MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation. | Kaixing Yang, Jiashu Zhu, Xulong Tang, Ziqiao Peng, Xiangyue Zhang, Puwei Wang, Jiahong Wu, Xiangxiang Chu, Hongyan Liu, Jun He |
| 2026 | WWW | 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 |
| 2025 | CVPR | Towards Efficient Foundation Model for Zero-shot Amodal Segmentation. | Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Lin Ma, Tingting Jiang |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | ICASSP | Lenna: Language Enhanced Reasoning Detection Assistant. | Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu |
| 2025 | ICCV | USP: Unified Self-Supervised Pretraining for Image Generation and Understanding. | Xiangxiang Chu, Renda Li, Yong Wang |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICWSM | 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 |
| 2025 | WWW | 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 |
| 2024 | AAAI | Make RepVGG Greater Again: A Quantization-Aware Approach. | Xiangxiang Chu, Liang Li, Bo Zhang |
| 2024 | AAAI | Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models. | Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu |
| 2024 | AAAI | SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. | Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao |
| 2024 | CVPR | PeLK: Parameter-Efficient Large Kernel ConvNets with Peripheral Convolution. | Honghao Chen, Xiangxiang Chu, Yongjian Ren, Xin Zhao, Kaiqi Huang |
| 2024 | ECCV | VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks. | Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen |
| 2024 | ECCV | Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition. | Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song |
| 2024 | ICLR | 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 |
| 2024 | ICML | Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness. | Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang |
| 2023 | CVPR | AeDet: Azimuth-Invariant Multi-View 3D Object Detection. | Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma |
| 2023 | ICCV | MixPath: A Unified Approach for One-shot Neural Architecture Search. | Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang |
| 2023 | ICCV | 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 |
| 2023 | ICLR | Conditional Positional Encodings for Vision Transformers. | Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen |
| 2022 | BMVC | A Unified Mixture-View Framework for Unsupervised Representation Learning. | Xiangxiang Chu, Xiaohang Zhan, Bo Zhang |
| 2022 | BMVC | EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. | Qingyuan Li, Bo Zhang, Xiangxiang Chu |
| 2022 | CVPR | Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. | Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You |
| 2022 | ECCV | PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images. | Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma |
| 2021 | BMVC | Noisy Differentiable Architecture Search. | Xiangxiang Chu, Bo Zhang |
| 2021 | ICASSP | AutoKWS: Keyword Spotting with Differentiable Architecture Search. | Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang |
| 2021 | ICCV | FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. | Xiangxiang Chu, Bo Zhang, Ruijun Xu |
| 2021 | ICLR | DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. | Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan |
| 2020 | ACCV | Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network. | Hailong Ma, Xiangxiang Chu, Bo Zhang |
| 2020 | ECCV | Multi-objective Reinforced Evolution in Mobile Neural Architecture Search. | Xiangxiang Chu, Bo Zhang, Ruijun Xu |
| 2020 | ECCV | Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. | Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li |
| 2020 | ICASSP | MoGA: Searching Beyond Mobilenetv3. | Xiangxiang Chu, Bo Zhang, Ruijun Xu |
| 2020 | ICPR | Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. | Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li |
| 2020 | Interspeech | Neural Architecture Search on Acoustic Scene Classification. | Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu |