Xingchao Liu - RankMe

52 papers A* 20A 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning. Nat. Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang, Qihao Zhu, Runxin Xu, Ruoyu Zhang, Shirong Ma, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Honghui Ding, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jingchang Chen, Jingyang Yuan, Jinhao Tu, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaichao You, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingxu Zhou, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Tao Yun, Tian Pei, Tianyu Sun, Tao Wang, Wangding Zeng, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, Zhen Zhang
2025	J	`jnl`	Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling. CoRR Xiaokang Chen, Zhiyu Wu, Xingchao Liu, Zizheng Pan, Wen Liu, Zhenda Xie, Xingkai Yu, Chong Ruan
2025	A*	`conf`	Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation. CVPR Chengyue Wu, Xiaokang Chen, Zhiyu Wu, Yiyang Ma, Xingchao Liu, Zizheng Pan, Wen Liu, Zhenda Xie, Xingkai Yu, Chong Ruan, Ping Luo
2025	A*	`conf`	JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation. CVPR Yiyang Ma, Xingchao Liu, Xiaokang Chen, Wen Liu, Chengyue Wu, Zhiyu Wu, Zizheng Pan, Zhenda Xie, Haowei Zhang, Xingkai Yu, Liang Zhao, Yisong Wang, Jiaying Liu, Chong Ruan
2025	J	`jnl`	TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models. CoRR Yangguang Li, Zi-Xin Zou, Zexiang Liu, Dehu Wang, Yuan Liang, Zhipeng Yu, Xingchao Liu, Yuan-Chen Guo, Ding Liang, Wanli Ouyang, Yan-Pei Cao
2024	A*	`conf`	AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies. NeurIPS Xixi Hu, Qiang Liu, Xingchao Liu, Bo Liu
2024	J	`jnl`	AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies. CoRR Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu
2024	J	`jnl`	Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. CoRR Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui
2024	J	`jnl`	DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding. CoRR Zhiyu Wu, Xiaokang Chen, Zizheng Pan, Xingchao Liu, Wen Liu, Damai Dai, Huazuo Gao, Yiyang Ma, Chengyue Wu, Bingxuan Wang, Zhenda Xie, Yu Wu, Kai Hu, Jiawei Wang, Yaofeng Sun, Yukun Li, Yishi Piao, Kang Guan, Aixin Liu, Xin Xie, Yuxiang You, Kai Dong, Xingkai Yu, Haowei Zhang, Liang Zhao, Yisong Wang, Chong Ruan
2024	J	`jnl`	Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding. CoRR Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu
2024	A*	`conf`	InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation. ICLR Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu
2024	J	`jnl`	Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation. CoRR Chengyue Wu, Xiaokang Chen, Zhiyu Wu, Yiyang Ma, Xingchao Liu, Zizheng Pan, Wen Liu, Zhenda Xie, Xingkai Yu, Chong Ruan, Ping Luo
2024	J	`jnl`	JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation. CoRR Yiyang Ma, Xingchao Liu, Xiaokang Chen, Wen Liu, Chengyue Wu, Zhiyu Wu, Zizheng Pan, Zhenda Xie, Haowei Zhang, Xingkai Yu, Liang Zhao, Yisong Wang, Jiaying Liu, Chong Ruan
2024	J	`jnl`	Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows. CoRR Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
2024	—	`conf`	LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows. NAACL-HLT Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
2024	A*	`conf`	Layer Compression of Deep Networks with Straight Flows. AAAI Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu
2024	A*	`conf`	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. NeurIPS Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
2024	J	`jnl`	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
2024	—	`conf`	SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow. ECCV (82) Yuanzhi Zhu, Xingchao Liu, Qiang Liu
2024	J	`jnl`	SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow. CoRR Yuanzhi Zhu, Xingchao Liu, Qiang Liu
2023	J	`jnl`	AutoML-GPT: Automatic Machine Learning with GPT. CoRR Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou
2023	A*	`conf`	DISCS: A Benchmark for Discrete Sampling. NeurIPS Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, Hanjun Dai
2023	A*	`conf`	Fast Point Cloud Generation with Straight Flows. CVPR Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
2023	A*	`conf`	Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. ICLR Xingchao Liu, Chengyue Gong, Qiang Liu
2023	A*	`conf`	FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu
2023	J	`jnl`	InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation. CoRR Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu
2023	A*	`conf`	Learning Diffusion Bridges on Constrained Domains. ICLR Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
2022	A*	`conf`	A Langevin-like Sampler for Discrete Distributions. ICML Ruqi Zhang, Xingchao Liu, Qiang Liu
2022	J	`jnl`	A Langevin-like Sampler for Discrete Distributions. CoRR Ruqi Zhang, Xingchao Liu, Qiang Liu
2022	—	`conf`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	A*	`conf`	Diffusion-based Molecule Generation with Informative Prior Bridges. NeurIPS Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
2022	J	`jnl`	Diffusion-based Molecule Generation with Informative Prior Bridges. CoRR Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
2022	J	`jnl`	Fast Point Cloud Generation with Straight Flows. CoRR Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
2022	J	`jnl`	Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. CoRR Xingchao Liu, Chengyue Gong, Qiang Liu
2022	J	`jnl`	Let us Build Bridges: Understanding and Extending Diffusion Generative Models. CoRR Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
2022	J	`jnl`	Neural Volumetric Mesh Generator. CoRR Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang
2022	A*	`conf`	Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. EMNLP Shujian Zhang, Chengyue Gong, Xingchao Liu
2022	J	`jnl`	Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. CoRR Shujian Zhang, Chengyue Gong, Xingchao Liu
2021	A*	`conf`	Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach. NeurIPS Chengyue Gong, Xingchao Liu, Qiang Liu
2021	J	`jnl`	Centroid Transformers: Learning to Abstract with Attention. CoRR Lemeng Wu, Xingchao Liu, Qiang Liu
2021	J	`jnl`	Conflict-Averse Gradient Descent for Multi-task Learning. CoRR Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu
2021	A*	`conf`	Conflict-Averse Gradient Descent for Multi-task learning. NeurIPS Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu
2021	J	`jnl`	FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. CoRR Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu
2021	A*	`conf`	Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. AAAI Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu
2021	A*	`conf`	Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent. NeurIPS Xingchao Liu, Xin Tong, Qiang Liu
2021	A*	`conf`	Sampling with Trusthworthy Constraints: A Variational Gradient Framework. NeurIPS Xingchao Liu, Xin Tong, Qiang Liu
2020	A*	`conf`	Certified Monotonic Neural Networks. NeurIPS Xingchao Liu, Xing Han, Na Zhang, Qiang Liu
2020	J	`jnl`	Certified Monotonic Neural Networks. CoRR Xingchao Liu, Xing Han, Na Zhang, Qiang Liu
2020	J	`jnl`	Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. CoRR Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu
2019	A	`conf`	Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. WACV Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye
2018	J	`jnl`	Robust kernelized correlation filter with scale adaption for real-time single object tracking. J. Real Time Image Process. Ce Li, Xingchao Liu, Xiangbo Su, Baochang Zhang