Can Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
22
Active years
2014–2026
Best venue rank
A*
Where they publish
- A*ACL20 papers
- A*EMNLP12 papers
- A*ICLR8 papers
- AWSDM5 papers
- A*AAAI5 papers
- A*KDD4 papers
- A*CVPR4 papers
- A*WWW3 papers
- AInterspeech2 papers
- ARecSys2 papers
- MulticonferenceICASSP2 papers
- CQRS1 paper
- A*SIGIR1 paper
- A*ECCV1 paper
- AECAI1 paper
- A*ICCV1 paper
- BIJCNLP1 paper
- ANAACL1 paper
- AAISTATS1 paper
- BIWCMC1 paper
- A*IJCAI1 paper
- BICIP1 paper
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models. | Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li |
| 2026 | ACL | GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM Reasoning. | Xiaoliang Xu, Huang Yuan, Junmei Wang, Can Xu |
| 2026 | ACL | Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models. | Qiyuan Zhang, Yufei Wang, Tianhe Wu, Can Xu, Qingfeng Sun, Kai Zheng, Xue Liu, Chen Ma |
| 2026 | ACL | RubricBench: Aligning Model-Generated Rubrics with Human Standards. | Junyi Zhou, Qiyuan Zhang, Yufei Wang, Fuyuan Lyu, Yidong Ming, Can Xu, Qingfeng Sun, Kai Zheng, Peng Kang, Xue Liu, Chen Ma |
| 2025 | ACL | Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph. | Yibo Zhao, Jiapeng Zhu, Can Xu, Yao Liu, Xiang Li |
| 2025 | ACL | WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. | Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ICLR | WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. | Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang |
| 2025 | KDD | AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. | Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jian-Guang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan |
| 2025 | QRS | Cross-Modal Contrast with Image Jigsaw for Self-Supervised Representation Learning of 3D Point Clouds. | Yuehui Han, Xinpeng Yu, Yao Wang, Can Xu, Qi Liu |
| 2025 | SIGIR | Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression. | Haosen Wang, Chenglong Shi, Can Xu, Surong Yan, Rong Xie, Pan Tang |
| 2025 | WSDM | RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match. | Zhen Li, Xinchi Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Can Xu, Hao Wang, Dongyan Zhao, Shuai Ma |
| 2024 | AAAI | Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation. | Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen |
| 2024 | AAAI | Fine-Grained Distillation for Long Document Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang |
| 2024 | ACL | Synergistic Interplay between Search and Large Language Models for Information Retrieval. | Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang |
| 2024 | ACL | ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. | Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2024 | ACL | WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning. | Zhaojian Yu, Xin Zhang, Ning Shang, Yangyu Huang, Can Xu, Yishujie Zhao, Wenxiang Hu, Qiufeng Yin |
| 2024 | CVPR | Multi-Attribute Interactions Matter for 3D Visual Grounding. | Can Xu, Yuehui Han, Rui Xu, Le Hui, Jin Xie, Jian Yang |
| 2024 | CVPR | SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments. | Shibo Zhao, Yuanjun Gao, Tianhao Wu, Damanpreet Singh, Rushan Jiang, Haoxiang Sun, Mansi Sarawata, Yuheng Qiu, Warren Whittaker, Ian Higgins, Yi Du, Shaoshu Su, Can Xu, John Keller, Jay Karhade, Lucas Nogueira, Sourojit Saha, Ji Zhang, Wenshan Wang, Chen Wang, Sebastian A. Scherer |
| 2024 | ECCV | Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning. | Yuehui Han, Can Xu, Rui Xu, Jianjun Qian, Jin Xie |
| 2024 | EMNLP | Leveraging Large Language Models for NLG Evaluation: Advances and Challenges. | Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma |
| 2024 | EMNLP | Re-Reading Improves Reasoning in Large Language Models. | Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma |
| 2024 | EMNLP | Automatic Instruction Evolving for Large Language Models. | Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen |
| 2024 | ICLR | Training-free Multi-objective Diffusion Model for 3D Molecule Generation. | Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li |
| 2024 | ICLR | WizardCoder: Empowering Code Large Language Models with Evol-Instruct. | Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2024 | ICLR | WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. | Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang |
| 2024 | KDD | Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering. | Haosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen |
| 2023 | ACL | MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. | Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin |
| 2023 | ACL | Towards Robust Ranker for Text Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang |
| 2023 | CVPR | Iterative Proposal Refinement for Weakly-Supervised Video Grounding. | Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang |
| 2023 | ECAI | Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. | Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang |
| 2023 | ICCV | LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. | Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2023 | ICLR | LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. | Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang |
| 2023 | ICLR | KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. | Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang |
| 2023 | ICLR | HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. | Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang |
| 2023 | KDD | UnifieR: A Unified Retriever for Large-Scale Retrieval. | Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang |
| 2023 | WWW | Latent User Intent Modeling for Sequential Recommenders. | Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen |
| 2023 | WWW | LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. | Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2022 | ACL | PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. | Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. | Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan |
| 2022 | ACL | Multimodal Dialogue Response Generation. | Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. | Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang |
| 2022 | EMNLP | PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. | Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang |
| 2022 | IJCNLP | RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. | Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong |
| 2022 | Interspeech | Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. | Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang |
| 2022 | KDD | Surrogate for Long-Term User Experience in Recommender Systems. | Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen |
| 2022 | NAACL | Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. | Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang |
| 2022 | RecSys | Off-Policy Actor-critic for Recommender Systems. | Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi |
| 2022 | WSDM | Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. | Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang |
| 2021 | AAAI | Open Domain Dialogue Generation with Latent Images. | Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li |
| 2021 | ACL | MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. | Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang |
| 2021 | ACL | Maria: A Visual Experience Powered Conversational Agent. | Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang |
| 2021 | ACL | ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. | Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan |
| 2021 | AISTATS | Learning Matching Representations for Individualized Organ Transplantation Allocation. | Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar |
| 2021 | EMNLP | Learning to Ground Visual Objects for Visual Dialog. | Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang |
| 2021 | EMNLP | Learning Neural Templates for Recommender Dialogue System. | Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang |
| 2021 | RecSys | Values of User Exploration in Recommender Systems. | Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi |
| 2021 | WSDM | User Response Models to Improve a REINFORCE Recommender System. | Minmin Chen, Bo Chang, Can Xu, Ed H. Chi |
| 2020 | EMNLP | StyleDGPT: Stylized Response Generation with Pre-trained Language Models. | Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li |
| 2020 | EMNLP | Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. | Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan |
| 2020 | EMNLP | Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks. | Yufan Zhao, Can Xu, Wei Wu |
| 2020 | ICLR | Low-Resource Knowledge-Grounded Dialogue Generation. | Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan |
| 2020 | Interspeech | THUEE System for NIST SRE19 CTS Challenge. | Ruyun Li, Tianyu Liang, Dandan Song, Yi Liu, Yangcheng Wu, Can Xu, Peng Ouyang, Xianwei Zhang, Xianhong Chen, Weiqiang Zhang, Shouyi Yin, Liang He |
| 2020 | IWCMC | An Automatic Analysis Tool Based on Computational Thinking for BlockPy Programs. | Can Xu, Zhiyong Feng, Peng Qi, Yan Sun |
| 2019 | ACL | One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues. | Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
| 2019 | ACL | Neural Response Generation with Meta-words. | Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang |
| 2019 | EMNLP | Low-Resource Response Generation with Template Prior. | Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li |
| 2019 | EMNLP | Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. | Ze Yang, Can Xu, Wei Wu, Zhoujun Li |
| 2019 | ICASSP | Multi-objective Optimization Training of PLDA for Speaker Verification. | Liang He, Xianhong Chen, Can Xu, Jia Liu |
| 2019 | IJCAI | A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. | Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan |
| 2019 | WWW | Towards Neural Mixture Recommender for Long Range Dependent User Sequences. | Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi |
| 2019 | WSDM | Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
| 2018 | AAAI | Knowledge Enhanced Hybrid Neural Network for Text Matching. | Yu Wu, Wei Wu, Can Xu, Zhoujun Li |
| 2018 | AAAI | Neural Response Generation With Dynamic Vocabularies. | Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li |
| 2018 | EMNLP | Playing 20 Question Game with Policy-Based Reinforcement Learning. | Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen |
| 2018 | WSDM | Latent Cross: Making Use of Context in Recurrent Recommender Systems. | Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi |
| 2017 | ICIP | Extended conjugate polar fourier transforminconvolution network. | Can Xu, Wenrui Dai, Hongkai Xiong |
| 2016 | ICASSP | Revertible deep convolutional networks with iterated directional filter bank. | Can Xu, Hongkai Xiong |
| 2014 | CVPR | Learning Receptive Fields for Pooling from Tensors of Feature Response. | Can Xu, Nuno Vasconcelos |