Liu, Zhiyuan

108 publications

TMLR 2026 ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun

NeurIPS 2025 3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-Mask Decoding Chang Wu, Zhiyuan Liu, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang

ICLR 2025 A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Zhiyuan Liu, Maosong Sun, Kaifeng Lyu, Wenguang Chen

NeurIPS 2025 A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Pei Pei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He

ICLRW 2025 ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun

ICLR 2025 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

CVPR 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang

NeurIPS 2025 EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation Chao Song, Zhiyuan Liu, Han Huang, Liang Wang, Qiong Wang, Jian-Yu Shi, Hui Yu, Yihang Zhou, Yang Zhang

ICML 2025 Free Process Rewards Without Process Labels Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

AAAI 2025 Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Shuyin Xia, Xinjun Ma, Zhiyuan Liu, Cheng Liu, Sen Zhao, Guoyin Wang

ICLR 2025 Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao

NeurIPS 2025 Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning Yiju Guo, Wenkai Yang, Zexu Sun, Ning Ding, Zhiyuan Liu, Yankai Lin

TMLR 2025 Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu

NeurIPS 2025 Multi-Agent Collaboration via Evolving Orchestration Yufan Dang, Chen Qian, Xueheng Luo, Jingru Fan, Zihao Xie, Ruijie Shi, Weize Chen, Cheng Yang, Xiaoyin Che, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun

ICLR 2025 NExT-Mol: 3D Diffusion Meets 1d Language Modeling for 3D Molecule Generation Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua

NeurIPS 2025 PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, WenkangWang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang

NeurIPS 2025 ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation Pengcheng Huang, Zhenghao Liu, Yukun Yan, Haiyan Zhao, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong

ICLR 2025 Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun

ICLR 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong

CVPR 2025 RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

ICLR 2025 Rational Decision-Making Agent with Learning Internal Utility Judgment Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun

ICLR 2025 Scaling Large Language Model-Based Multi-Agent Collaboration Chen Qian, Zihao Xie, YiFei Wang, Wei Liu, Kunlun Zhu, Hanchen Xia, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang

ICML 2025 Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Yuqi Luo, Chenyang Song, Xu Han, Yingfa Chen, Chaojun Xiao, Xiaojun Meng, Liqun Deng, Jiansheng Wei, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training Weize Chen, Jiarui Yuan, Tailin Jin, Ning Ding, Huimin Chen, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Hengxing Cai, Kenji Kawaguchi, Tat-Seng Chua, Yang Zhang, Xiang Wang

ICLR 2025 VisRAG: Vision-Based Retrieval-Augmented Generation on Multi-Modality Documents Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

ICLR 2025 WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun

CVPR 2025 XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? Fengxiang Wang, Hongzhen Wang, Zonghao Guo, Di Wang, Yulin Wang, Mingshuo Chen, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun

NeurIPSW 2024 A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Zhiyuan Liu, Maosong Sun, Kaifeng Lyu, Wenguang Chen

ECCV 2024 AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

ICMLW 2024 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

ICLR 2024 AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

NeurIPS 2024 Can Large Language Models Analyze Graphs like Professionals? a Benchmark, Datasets and Models Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Zhiyuan Liu, Chuan Shi, Maosong Sun, Cheng Yang

ICLR 2024 ChatEval: Towards Better LLM-Based Evaluators Through Multi-Agent Debate Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu

NeurIPS 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun

NeurIPS 2024 ENAT: Rethinking Spatial-Temporal Interactions in Token-Based Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

TMLR 2024 Exploring Format Consistency for Instruction Tuning Shihao Liang, Runchu Tian, Kunlun Zhu, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun

ICML 2024 Exploring the Benefit of Activation Sparsity in Pre-Training Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou

NeurIPS 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

ICMLW 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

ICLR 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Xu Bin, Jie Tang, Juanzi Li

ICMLW 2024 LEGENT: Open Platform for Embodied Agents Zhili Cheng, Jinyi Hu, Zhitong Wang, Yuge Tu, Shengding Hu, An Liu, Pengkai Li, Lei Shi, Zhiyuan Liu, Maosong Sun

ECCV 2024 LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang

ICLR 2024 Large Multilingual Models Pivot Zero-Shot Multimodal Learning Across Languages Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun

ICML 2024 NExT-Chat: An LMM for Chat, Detection and Segmentation Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua

NeurIPS 2024 OneBit: Towards Extremely Low-Bit Large Language Models Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

ICLR 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

CVPR 2024 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun, Tat-Seng Chua

CVPR 2024 Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

ICLR 2024 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

ICLR 2024 Towards 3D Molecule-Text Interpretation in Language Models Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian

ICML 2024 ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun

NeurIPS 2024 UltraMedical: Building Specialized Generalists in Biomedicine Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jin-Fang Hu, Zhiyuan Liu, Bowen Zhou

IJCAI 2023 Automatic Truss Design with Reinforcement Learning Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu

ICLR 2023 GLM-130B: An Open Bilingual Pre-Trained Model Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang

NeurIPS 2023 H3T: Efficient Integration of Memory Optimization and Parallelism for Large-Scale Transformer Training Yuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

NeurIPS 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

NeurIPS 2023 Revisiting Out-of-Distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, FangYuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun

ICLR 2023 Universal Vision-Language Dense Retrieval: Learning a Unified Representation Space for Multi-Modal Retrieval Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu

NeurIPS 2023 VPGTrans: Transfer Visual Prompt Generator Across LLMs Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua

AAAI 2023 Visually Grounded Commonsense Knowledge Acquisition Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun

NeurIPS 2022 A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun

ECCV 2022 Fine-Grained Scene Graph Generation with Data Transfer Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua

ICML 2022 GACT: Activation Compressed Training for Generic Network Architectures Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, Alvin Cheung

NeurIPS 2022 Moderate-Fitting as a Natural Backdoor Defender for Pre-Trained Language Models Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu

NeurIPS 2022 Sparse Structure Search for Delta Tuning Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun

AAAI 2022 Video as Conditional Graph Hierarchy for Multi-Granular Question Answering Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua

AAAI 2021 Adversarial Language Games for Advanced Natural Language Intelligence Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

ICMLW 2021 Red Alarm for Pre-Trained Models: Universal Vulnerability to Neuron-Level Backdoor Attacks Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun

ICCV 2021 Visual Distant Supervision for Scene Graph Generation Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun

NeurIPS 2020 Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang

AAAI 2020 Incentivized Exploration for Multi-Armed Bandits Under Reward Drift Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen

AAAI 2020 Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun

AAAI 2020 JEC-QA: A Legal-Domain Question Answering Dataset Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun

ICLR 2020 Learning from Explanations with Neural Execution Tree Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

AAAI 2020 Multi-Channel Reverse Dictionary Model Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun

AAAI 2020 Neural Snowball for Few-Shot Relation Learning Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

AAAI 2020 Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu

AAAI 2019 Block Belief Propagation for Parameter Learning in Markov Random Fields You Lu, Zhiyuan Liu, Bert Huang

AAAI 2019 DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

AAAI 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun

AAAI 2019 Learning to Embed Sentences Using Attentive Recursive Trees Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

IJCAI 2019 Multi-Scale Information Diffusion Prediction with Reinforced Recurrent Networks Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu

AAAI 2019 Relation Structure-Aware Heterogeneous Information Network Embedding Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu

AAAI 2018 Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention Xiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun

AAAI 2018 Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin

AAAI 2018 Improving Neural Fine-Grained Entity Typing with Knowledge Attention Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun

AAAI 2018 Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text Xu Han, Zhiyuan Liu, Maosong Sun

IJCAI 2017 Fast Network Embedding Enhancement via High Order Proximity Approximation Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu

IJCAI 2017 Image-Embodied Knowledge Representation Learning Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun

IJCAI 2017 Iterative Entity Alignment via Joint Knowledge Embeddings Hao Zhu, Ruobing Xie, Zhiyuan Liu, Maosong Sun

IJCAI 2017 Lexical Sememe Prediction via Word Embeddings and Matrix Factorization Ruobing Xie, Xingchi Yuan, Zhiyuan Liu, Maosong Sun

IJCAI 2017 TransNet: Translation-Based Network Representation Learning for Social Relation Extraction Cunchao Tu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

IJCAI 2016 Knowledge Representation Learning with Entities, Attributes and Relations Yankai Lin, Zhiyuan Liu, Maosong Sun

AAAI 2016 Learning to Appreciate the Aesthetic Effects of Clothing Jia Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huan-Bo Luan, Chao Yan

IJCAI 2016 Max-Margin DeepWalk: Discriminative Learning of Network Representation Cunchao Tu, Weicheng Zhang, Zhiyuan Liu, Maosong Sun

AAAI 2016 Representation Learning of Knowledge Graphs with Entity Descriptions Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun

IJCAI 2016 Representation Learning of Knowledge Graphs with Hierarchical Types Ruobing Xie, Zhiyuan Liu, Maosong Sun

AAAI 2015 A Nonconvex Relaxation Approach for Rank Minimization Problems Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen

IJCAI 2015 Joint Learning of Character and Word Embeddings Xinxiong Chen, Lei Xu, Zhiyuan Liu, Maosong Sun, Huan-Bo Luan

AAAI 2015 Learning Entity and Relation Embeddings for Knowledge Graph Completion Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu

IJCAI 2015 Network Representation Learning with Rich Text Information Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang

AAAI 2015 Phrase Type Sensitive Tensor Indexing Model for Semantic Composition Yu Zhao, Zhiyuan Liu, Maosong Sun

IJCAI 2015 Representation Learning for Measuring Entity Relatedness with Rich Information Yu Zhao, Zhiyuan Liu, Maosong Sun

AAAI 2015 Topical Word Embeddings Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

IJCAI 2009 Incorporating User Behaviors in New Word Detection Yabin Zheng, Zhiyuan Liu, Maosong Sun, Liyun Ru, Yang Zhang