Huang, Xuanjing

66 publications

AAAI 2025 Alleviating Shifted Distribution in Human Preference Alignment Through Meta-Learning Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

NeurIPS 2025 BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset Zhiheng Xi, Guanyu Li, YuTao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, Dingjinchao, Wangmeng Zuo, Zhenfei Yin, Lei Bai, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

AAAI 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao

ICML 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang

ICLRW 2025 DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels Zhe Xu, Jiasheng Ye, Xiaoran Liu, Xiangyang Liu, Tianxiang Sun, Zhigeng Liu, Qipeng Guo, Linlin Li, Qun Liu, Xuanjing Huang, Xipeng Qiu

NeurIPS 2025 Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc Van Gool, Yu-Gang Jiang

NeurIPS 2025 EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, Cheng Zhong, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Xuanjing Huang

ICLR 2025 Have the VLMs Lost Confidence? a Study of Sycophancy in VLMs Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xh.Zhao, Tao Gui, Qi Zhang, Xuanjing Huang

ICLRW 2025 How to Mitigate Overfitting in Weak-to-Strong Generalization? Junhao Shi, Qingyuan Chen, Zhaoye Fei, Yining Zheng, Qipeng Guo, Xuanjing Huang, Xipeng Qiu

ICCV 2025 ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives Yuqian Fu, Runze Wang, Bin Ren, Guolei Sun, Biao Gong, Yanwei Fu, Danda Pani Paudel, Xuanjing Huang, Luc Van Gool

NeurIPS 2025 Pre-Trained Policy Discriminators Are General Reward Models Shihan Dou, Shichun Liu, Yuming Yang, Yicheng Zou, Yunhua Zhou, Shuhao Xing, Chenhao Huang, Qiming Ge, Haijun Lv, Demin Song, Songyang Gao, Chengqi Lyu, Enyu Zhou, Honglin Guo, Zhiheng Xi, Qipeng Guo, Wenwei Zhang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Kai Chen

AISTATS 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners Yuxin Wang, Botian Jiang, Yiran Guo, Quan Gan, David Wipf, Xuanjing Huang, Xipeng Qiu

ICLR 2025 RMB: Comprehensively Benchmarking Reward Models in LLM Alignment Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

CVPR 2025 SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao

AAAI 2025 Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei

NeurIPS 2025 Toward Relative Positional Encoding in Spiking Transformers Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

NeurIPS 2025 Understanding Parametric and Contextual Knowledge Reconciliation Within Large Language Models Jun Zhao, Yongzhuo Yang, Xiang Hu, Jingqi Tong, Yi Lu, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang

NeurIPS 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

NeurIPS 2024 Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models Jiahao Ying, Yixin Cao, Yushi Bai, Qianru Sun, Bo Wang, Wei Tang, Zhaojun Ding, Yizhe Yang, Xuanjing Huang, Shuicheng Yan

ICML 2024 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

ICLR 2024 Improving Generalization of Alignment with Human Preferences Through Group Invariant Learning Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang

NeurIPS 2024 Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li

AAAI 2024 LLMEval: A Preliminary Study on How to Evaluate Large Language Models Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang

ICML 2024 Training Large Language Models for Reasoning Through Reverse Curriculum Reinforcement Learning Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

NeurIPSW 2023 Delve into PPO: Implementation Matters for Stable RLHF Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang

ICML 2023 From Hypergraph Energy Functions to Hypergraph Neural Networks Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf

ICML 2022 Black-Box Tuning for Language-Model-as-a-Service Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu

NeurIPS 2022 CoNT: Contrastive Neural Text Generation Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang

NeurIPS 2022 Regularized Molecular Conformation Fields Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou

ICML 2022 What Dense Graph Do You Need for Self-Attention? Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu

AAAI 2021 An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang

AAAI 2021 Enhancing Scientific Papers Summarization with Citation Graph Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

IJCAI 2021 TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang

AAAI 2021 Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu

AAAI 2021 Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu

AAAI 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang

AAAI 2020 Learning Sparse Sharing Architectures for Multiple Tasks Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang

IJCAI 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang

AAAI 2020 Storytelling from an Image Stream Using Scene Graphs Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, Xuanjing Huang

AAAI 2019 A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang

IJCAI 2019 Building Personalized Simulator for Interactive Search Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong

IJCAI 2019 CNN-Based Chinese NER with Lexicon Rethinking Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang

AAAI 2019 Contextualized Non-Local Neural Networks for Sequence Learning Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung

IJCAI 2019 Learning Task-Specific Representation for Novel Words in Sequence Labeling Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang

AAAI 2019 Long Short-Term Memory with Dynamic Skip Connections Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang

AAAI 2019 Trainable Undersampling for Class-Imbalance Learning Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen

IJCAI 2018 A Question Type Driven Framework to Diversify Visual Question Generation Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang

AAAI 2018 Adaptive Co-Attention Network for Named Entity Recognition in Tweets Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang

AAAI 2018 Incorporating Discriminator in Sentence Generation: A Gibbs Sampling Method Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang

AAAI 2018 Meta Multi-Task Learning for Sequence Modeling Jun-Kun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang

IJCAI 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang

IJCAI 2017 A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging Xinchi Chen, Xipeng Qiu, Xuanjing Huang

NeurIPS 2017 A Learning Error Analysis for Structured Prediction with Approximate Inference Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang

IJCAI 2017 Adaptive Semantic Compositionality for Sentence Modelling Pengfei Liu, Xipeng Qiu, Xuanjing Huang

IJCAI 2017 Dynamic Compositional Neural Networks over Tree Structure Pengfei Liu, Xipeng Qiu, Xuanjing Huang

IJCAI 2017 Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong

IJCAI 2017 Knowledge Graph Representation with Jointly Structural and Textual Encoding Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang

IJCAI 2017 Mention Recommendation for Twitter with End-to-End Memory Network Haoran Huang, Qi Zhang, Xuanjing Huang

IJCAI 2016 Bridging LSTM Architecture and the Neural Dynamics During Reading Peng Qian, Xipeng Qiu, Xuanjing Huang

AAAI 2016 Discourse Relations Detection via a Mixed Generative-Discriminative Framework Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang

IJCAI 2016 Recurrent Neural Network for Text Classification with Multi-Task Learning Pengfei Liu, Xipeng Qiu, Xuanjing Huang

IJCAI 2015 Convolutional Neural Tensor Network Architecture for Community-Based Question Answering Xipeng Qiu, Xuanjing Huang

IJCAI 2015 Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model Pengfei Liu, Xipeng Qiu, Xuanjing Huang

AAAI 2015 Retweet Behavior Prediction Using Hierarchical Dirichlet Process Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang

IJCAI 2013 Learning Topical Translation Model for Microblog Hashtag Suggestion Zhuoye Ding, Xipeng Qiu, Qi Zhang, Xuanjing Huang

ICML 2009 Sparse Higher Order Conditional Random Fields for Improved Sequence Labeling Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huang, Lide Wu