ML Anthology

He, Qing

39 publications

ICLR 2026 Scaling Speech Tokenizers with Diffusion Autoencoders Yuancheng Wang, Zhenyu Tang, Yun Wang, Arthur Hinsvark, Yingru Liu, Yinghao Aaron Li, Kainan Peng, Junyi Ao, Mingbo Ma, Mike Seltzer, Qing He, Xubo Liu
ICLR 2026 VowelPrompt: Hearing Speech Emotions from Text via Vowel-Level Prosodic Augmentation Yancheng Wang, Osama Hanna, Ruiming Xie, Xianfeng Rui, Maohao Shen, Xuedong Zhang, Christian Fuegen, Jilong Wu, Debjyoti Paul, Arthur Guo, Zhihong Lei, Ozlem Kalinli, Qing He, Yingzhen Yang
AAAI 2025 Controlling Large Language Models Through Concept Activation Vectors Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
AAAI 2025 Dynamic Graph Learning with Static Relations for Credit Risk Assessment Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao
ICLR 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective Kuan Li, YiWen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao
AAAI 2024 Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing Under Delayed Feedback Qiming Liu, Xiang Ao, Yuyao Guo, Qing He
AAAI 2023 Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He
ICLR 2023 Revisiting Graph Adversarial Attack and Defense from a Data Distribution Perspective Kuan Li, Yang Liu, Xiang Ao, Qing He
ECML-PKDD 2022 Customized Conversational Recommender Systems Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
AAAI 2022 Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
IJCAI 2021 AMA-GCN: Adaptive Multi-Layer Aggregation Graph Convolutional Network for Disease Prediction Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
NeurIPS 2021 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
AAAI 2021 Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
ICCVW 2021 VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao
ACML 2020 CCA-Flow: Deep Multi-View Subspace Learning with Inverse Autoregressive Flow Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
MLJ 2020 Online Bayesian Max-Margin Subspace Learning for Multi-View Classification and Regression Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
AAAI 2020 Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
NeurIPS 2020 Trust the Model When It Is Confident: Masked Model-Based Actor-Critic Feiyang Pan, Jia He, Dandan Tu, Qing He
AAAI 2019 Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
AAAI 2019 Policy Optimization with Model-Based Explorations Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang
MLJ 2019 Supervised Representation Learning for Multi-Label Classification Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He
IJCAI 2019 Unsupervised Neural Aspect Extraction with Sememes Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu
IJCAI 2018 Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-Driven Attention Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He
AAAI 2018 Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He
AAAI 2018 Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He
AAAI 2017 Mechanism-Aware Neural Machine for Dialogue Response Generation Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He
IJCAI 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
IJCAI 2016 Browsing Regularities in Hedonic Content Systems Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He
ECML-PKDD 2016 Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
IJCAI 2016 Online Bayesian Max-Margin Subspace Multi-View Learning Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
UAI 2016 Online Bayesian Multiple Kernel Bipartite Ranking Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li
AAAI 2015 Bayesian Maximum Margin Principal Component Analysis Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
IJCAI 2015 Supervised Representation Learning: Transfer Learning with Deep Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
ECML-PKDD 2014 Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
IJCAI 2013 Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi
ECML-PKDD 2013 Embedding with Autoencoder Regularization Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
ECML-PKDD 2013 Shared Structure Learning for Multiple Tasks with Multiple Views Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi
IJCAI 2011 Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen
AAAI 2010 Nonparametric Curve Extraction Based on Ant Colony System Qing Tan, Qing He, Zhongzhi Shi