Xiang Li

50 papers A* 14A 1Journal 32Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
CAARMA: Class Augmentation with Adversarial Mixup Regularization.
EMNLP (Findings)
Massa Baali, Xiang Li, Hao Chen, Syed Abdul Hannan, Rita Singh, Bhiksha Raj
2025 J jnl
CAARMA: Class Augmentation with Adversarial Mixup Regularization.
CoRR
Massa Baali, Xiang Li, Hao Chen, Rita Singh, Bhiksha Raj
2025 J jnl
Image Tokenizer Needs Post-Training.
CoRR
Kai Qiu, Xiang Li, Hao Chen, Jason Kuen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, Marios Savvides
2025 A* conf
ImageFolder: Autoregressive Image Generation with Folded Tokens.
ICLR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin
2025 A* conf
Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
ICML
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025 J jnl
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis.
CoRR
Kai Qiu, Xiang Li, Jason Kuen, Hao Chen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, Marios Savvides
2025 A* conf
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video.
ICLR
Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian A. Scherer, Xiaonan Huang
2025 J jnl
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video.
CoRR
Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian A. Scherer, Xiaonan Huang
2025 A* conf
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.
CVPR
Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2025 J jnl
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity.
CoRR
Xiaohao Xu, Feng Xue, Xiang Li, Haowei Li, Shusheng Yang, Tianyi Zhang, Matthew Johnson-Roberson, Xiaonan Huang
2024 A* conf
A General Framework for Learning from Weak Supervision.
ICML
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A General Framework for Learning from Weak Supervision.
CoRR
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A closer look at reinforcement learning-based automatic speech recognition.
Comput. Speech Lang.
Fan Yang, Muqiao Yang, Xiang Li, Yuxuan Wu, Zhiyuan Zhao, Bhiksha Raj, Rita Singh
2024 J jnl
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.
CoRR
Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao
2024 A* conf
Completing Visual Objects via Bridging Generation and Segmentation.
ICML
Xiang Li, Yinpeng Chen, Chung-Ching Lin, Hao Chen, Kai Hu, Rita Singh, Bhiksha Raj, Lijuan Wang, Zicheng Liu
2024 J jnl
ControlVAR: Exploring Controllable Visual Autoregressive Modeling.
CoRR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, Bhiksha Raj
2024 — conf
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CVPR Workshops
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2024 J jnl
Customizable Perturbation Synthesis for Robust SLAM Benchmarking.
CoRR
Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang
2024 J jnl
Efficient Autoregressive Audio Modeling via Next-Scale Prediction.
CoRR
Kai Qiu, Xiang Li, Hao Chen, Jie Sun, Jinglu Wang, Zhe Lin, Marios Savvides, Bhiksha Raj
2024 J jnl
Evaluating and Improving Continual Learning in Spoken Language Understanding.
CoRR
Muqiao Yang, Xiang Li, Umberto Cappellazzo, Shinji Watanabe, Bhiksha Raj
2024 J jnl
From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking.
CoRR
Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang
2024 J jnl
ImageFolder: Autoregressive Image Generation with Folded Tokens.
CoRR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin
2024 A* conf
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
NeurIPS
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
On the Diversity of Synthetic Data and its Impact on Training Large Language Models.
CoRR
Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I Abdin
2024 A* conf
QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition.
CVPR
Xiang Li, Jinglu Wang, Xiaohao Xu, Xiulian Peng, Rita Singh, Yan Lu, Bhiksha Raj
2024 — conf
R
ECCV (9)
Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Rita Singh, Kashu Yamazaki, Hao Chen, Xiaonan Huang, Bhiksha Raj
2024 J jnl
R
CoRR
Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Rita Singh, Kashu Yamazaki, Hao Chen, Xiaonan Huang, Bhiksha Raj
2024 A* conf
Slight Corruption in Pre-training Data Makes Better Diffusion Models.
NeurIPS
Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2024 J jnl
Slight Corruption in Pre-training Data Makes Better Diffusion Models.
CoRR
Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2024 J jnl
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.
CoRR
Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2024 J jnl
TableGPT2: A Large Multimodal Model with Tabular Data Integration.
CoRR
Aofeng Su, Aowen Wang, Chao Ye, Chen Zhou, Ga Zhang, Gang Chen, Guangcheng Zhu, Haobo Wang, Haokai Xu, Hao Chen, Haoze Li, Haoxuan Lan, Jiaming Tian, Jing Yuan, Junbo Zhao, Junlin Zhou, Kaizhe Shou, Liangyu Zha, Lin Long, Liyao Li, Pengzuo Wu, Qi Zhang, Qingyi Huang, Saisai Yang, Tao Zhang, Wentao Ye, Wufang Zhu, Xiaomeng Hu, Xijun Gu, Xinjie Sun, Xiang Li, Yuhang Yang, Zhiqing Xiao
2024 J jnl
XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.
CoRR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Jindong Wang, Zhe Lin, Bhiksha Raj
2023 J jnl
Completing Visual Objects via Bridging Generation and Segmentation.
CoRR
Xiang Li, Yinpeng Chen, Chung-Ching Lin, Rita Singh, Bhiksha Raj, Zicheng Liu
2023 A* conf
PaintSeg: Painting Pixels for Training-free Segmentation.
NeurIPS
Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Rita Singh, Bhiksha Raj
2023 J jnl
PaintSeg: Training-free Segmentation via Painting.
CoRR
Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Bhiksha Raj
2023 J jnl
Rethinking Audiovisual Segmentation with Semantic Quantization and Decomposition.
CoRR
Xiang Li, Jinglu Wang, Xiaohao Xu, Xiulian Peng, Rita Singh, Yan Lu, Bhiksha Raj
2023 A* conf
Rethinking Voice-Face Correlation: A Geometry View.
ACM Multimedia
Xiang Li, Yandong Wen, Muqiao Yang, Jinglu Wang, Rita Singh, Bhiksha Raj
2023 J jnl
Rethinking Voice-Face Correlation: A Geometry View.
CoRR
Xiang Li, Yandong Wen, Muqiao Yang, Jinglu Wang, Rita Singh, Bhiksha Raj
2023 A* conf
Robust Referring Video Object Segmentation with Cyclic Structural Consensus.
ICCV
Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Bhiksha Raj, Yan Lu
2023 J jnl
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.
CoRR
Liangyu Zha, Junlin Zhou, Liyao Li, Rui Wang, Qingyi Huang, Saisai Yang, Jing Yuan, Changbao Su, Xiang Li, Aofeng Su, Tao Zhang, Chen Zhou, Kaizhe Shou, Miao Wang, Wufang Zhu, Guoshan Lu, Chao Ye, Yali Ye, Wentao Ye, Yiming Zhang, Xinglong Deng, Jie Xu, Haobo Wang, Gang Chen, Junbo Zhao
2023 A conf
The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features.
INTERSPEECH
Liao Qu, Xianwei Zou, Xiang Li, Yandong Wen, Rita Singh, Bhiksha Raj
2023 J jnl
The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features.
CoRR
Liao Qu, Xianwei Zou, Xiang Li, Yandong Wen, Rita Singh, Bhiksha Raj
2023 A* conf
Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text.
EMNLP
Xiang Li, Jinglu Wang, Xiaohao Xu, Muqiao Yang, Fan Yang, Yizhou Zhao, Rita Singh, Bhiksha Raj
2023 J jnl
Video Instance Segmentation by Instance Flow Assembly.
IEEE Trans. Multim.
Xiang Li, Jinglu Wang, Xiao Li, Yan Lu
2022 J jnl
Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution.
CoRR
Chonghan Chen, Qi Jiang, Chih-Hao Wang, Noel Chen, Haohan Wang, Xiang Li, Bhiksha Raj
2022 A* conf
Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation.
AAAI
Xiang Li, Jinglu Wang, Xiao Li, Yan Lu
2022 J jnl
Online Video Instance Segmentation via Robust Context Fusion.
CoRR
Xiang Li, Jinglu Wang, Xiaohao Xu, Bhiksha Raj, Yan Lu
2022 J jnl
R^2VOS: Robust Referring Video Object Segmentation via Relational Multimodal Cycle Consistency.
CoRR
Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Yan Lu, Bhiksha Raj
2021 J jnl
Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation.
CoRR
Xiang Li, Jinglu Wang, Xiao Li, Yan Lu
2021 J jnl
Video Instance Segmentation by Instance Flow Assembly.
CoRR
Xiang Li, Jinglu Wang, Xiao Li, Yan Lu