| 2026 | CHI | Does Personalized Nudging Wear Off? A Longitudinal Study of AI Self-Modeling for Behavioral Engagement. | Qing He, Zeyu Wang, Yuzhou Du, Jiahuan Ding, Yuanchun Shi, Yuntao Wang |
| 2026 | DATE | Compacted-LUT: Fine-Grained Customizable LUT Architecture via SRAM-MUX Co-Optimization. | Mingyang Chen, Yunfei Dai, Wai-Shing Luk, Qing He, Yu He, Lingli Wang |
| 2026 | DATE | A Collaborative Framework for Multi-Level Multi-Objective Design Space Exploration. | Jiangnan Li, Kaixiang Zhu, Yuping Bai, Yunfei Dai, Qing He, Yu He, Lingli Wang |
| 2026 | ISCAS | An End-to-End Compilation Flow with Reinforcement Learning-Guided Logic Synthesis. | Jiangnan Li, Kaixiang Zhu, Qing He, Yu He, Lingli Wang |
| 2026 | ISCAS | CircuitS2L: Circuit Dataset Augmentation via Generative Featuring and Supervised Labeling. | Linyu Zhu, Tsun-Ming Tseng, Yushan Pan, Qing He, Xinfei Guo |
| 2026 | KDD | Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms. | Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He |
| 2026 | WCNC | Deep Semantic Inference Over the Air: An Efficient Task-Oriented Communication System. | Chenyang Wang, Roger Olsson, Stefan Forsstrm, Qing He |
| 2026 | WWW | Robust Graph Learning on the Web: Challenges, Methods, and Applications. | Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He |
| 2026 | SIGIR | Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment. | Yiran Qiao, Xiang Ao, Jing Chen, Yang Liu, Qiwei Zhong, Qing He |
| 2025 | AAAI | Dynamic Graph Learning with Static Relations for Credit Risk Assessment. | Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao |
| 2025 | AAAI | Controlling Large Language Models Through Concept Activation Vectors. | Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He |
| 2025 | ACL | Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. | Chengao Li, Hanyu Zhang, Yunkun Xu, Hongyan Xue, Xiang Ao, Qing He |
| 2025 | DASFAA | OFTEN: Graph Invariant Learning via Soft Environment Inference. | Yang Liu, Zikun Zhang, Xiang Ao, Lingxiang Tian, Qing He |
| 2025 | GLOBECOM | SANet: Sensing-Aided Beamforming for LEO Satellite-Ground Communications. | Qing He, Yusha Liu, Kun Yang |
| 2025 | ICASSP | Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization. | Yi Qiao, Yang Liu, Qing He, Xiang Ao |
| 2025 | ICASSP | Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation. | Maohao Shen, Shun Zhang, Jilong Wu, Zhiping Xiu, Ehab A. AlBadawy, Yiting Lu, Mike Seltzer, Qing He |
| 2025 | ICCAD | A Complete Modeling Methodology for Full-chip Parasitic Extraction. | Yipei Xu, Zhisheng Zeng, Qing He |
| 2025 | ICDM | Dilution of Unreliable Information: Learning in Graph with Noisy Structures and Absent Attributes. | Xinxin Li, Yang Liu, Siyong Xu, Weigao Wen, Qing He, Xiang Ao |
| 2025 | KDD | GRASP: Differentially Private Graph Reconstruction Defense with Structured Perturbation. | Zhiyu Guo, Yang Liu, Xiang Ao, Qing He |
| 2025 | WWW | SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. | Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao |
| 2025 | WWW | Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. | Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He |
| 2025 | WSDM | LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. | Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He |
| 2024 | AAAI | Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. | Qiming Liu, Xiang Ao, Yuyao Guo, Qing He |
| 2024 | ACL | EFSA: Towards Event-Level Financial Sentiment Analysis. | Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao |
| 2024 | ASPDAC | Efficient Sublogic-Cone-Based Switching Activity Estimation using Correlation Factor. | Kexin Zhu, Runjie Zhang, Qing He |
| 2024 | COLING | DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering. | Ruize Yuan, Xiang Ao, Li Zeng, Qing He |
| 2024 | COLING | Distillation with Explanations from Large Language Models. | Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He |
| 2024 | ICASSP | Ultra-Lightweight Neural Differential DSP Vocoder for High Quality Speech Synthesis. | Prabhav Agrawal, Thilo Khler, Zhiping Xiu, Prashant Serai, Qing He |
| 2024 | ICASSP | F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection. | Guanghui Hu, Yang Liu, Qing He, Xiang Ao |
| 2024 | ICASSP | Multi-Task Learning for Front-End Text Processing in TTS. | Wonjune Kang, Yun Wang, Shun Zhang, Arthur Hinsvark, Qing He |
| 2024 | ICLR | 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 |
| 2023 | AAAI | Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. | Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He |
| 2023 | CIKM | Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. | Yuyao Guo, Xiang Ao, Qiming Liu, Qing He |
| 2023 | DASFAA | Semantic-Driven Instance Generation for Table Question Answering. | Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He |
| 2023 | ICASSP | Self-Supervised Representations for Singing Voice Conversion. | Tejas Jayashankar, Jilong Wu, Leda Sari, David Kant, Vimal Manohar, Qing He |
| 2023 | ICASSP | Voice-Preserving Zero-Shot Multiple Accent Conversion. | Mumin Jin, Prashant Serai, Jilong Wu, Andros Tjandra, Vimal Manohar, Qing He |
| 2023 | ICDE | Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. | Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He |
| 2023 | ICDE | A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. | Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He |
| 2023 | ICLR | Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. | Kuan Li, Yang Liu, Xiang Ao, Qing He |
| 2023 | ICMLC | Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. | Guang-Yu Cheng, Shuo Yu, Wen-Bin Jiang, Shuai Ma, Xiang Ao, Qing He |
| 2023 | IGARSS | Global Characterizations of Drydown Events from a Long-Term Satellite Soil Moisture Dataset. | Yawei Xu, Qing He, Panpan Yao, Hui Lu, Kun Yang, Andrew F. Feldman, Daniel J. Short Gianotti, Dara Entekhabi |
| 2023 | IGARSS | Global Optimization of Soil Texture from a Long-Term Satellite Soil Moisture Dataset. | Qing He, Hui Lu, Kaixun He, Jianhong Zhou, Yawei Xu, Kun Yang, Jiancheng Shi |
| 2023 | KDD | FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. | Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He |
| 2023 | KDD | Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. | Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He |
| 2023 | SIGIR | Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. | Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He |
| 2023 | SIGIR | Matching Point of Interests and Travel Blog with Multi-view Information Fusion. | Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou |
| 2023 | SIGIR | Attacking Pre-trained Recommendation. | Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He |
| 2022 | AAAI | 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 |
| 2022 | ACL | Direct Speech-to-Speech Translation With Discrete Units. | Ann Lee, Peng-Jen Chen, Changhan Wang, Jiatao Gu, Sravya Popuri, Xutai Ma, Adam Polyak, Yossi Adi, Qing He, Yun Tang, Juan Pino, Wei-Ning Hsu |
| 2022 | CIKM | Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. | Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He |
| 2022 | CIKM | Explainable Graph-based Fraud Detection via Neural Meta-graph Search. | Zidi Qin, Yang Liu, Qing He, Xiang Ao |
| 2022 | CIKM | Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. | Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He |
| 2022 | DASFAA | Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. | Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2022 | DASFAA | Multi-view Multi-behavior Contrastive Learning in Recommendation. | Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He |
| 2022 | ICASSP | Vocbench: A Neural Vocoder Benchmark for Speech Synthesis. | Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu |
| 2022 | ICASSP | Architecture for Variable Bitrate Neural Speech Codec with Configurable Computation Complexity. | Tejas Jayashankar, Thilo Khler, Kaustubh Kalgaonkar, Zhiping Xiu, Jilong Wu, Ju Lin, Prabhav Agrawal, Qing He |
| 2022 | ICASSP | Speech Enhancement for Low Bit Rate Speech Codec. | Ju Lin, Kaustubh Kalgaonkar, Qing He, Xin Lei |
| 2022 | ICASSP | Multilingual Text-To-Speech Training Using Cross Language Voice Conversion And Self-Supervised Learning Of Speech Representations. | Jilong Wu, Adam Polyak, Yaniv Taigman, Jason Fong, Prabhav Agrawal, Qing He |
| 2022 | KDD | Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. | Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2022 | KDD | UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. | Yang Liu, Xiang Ao, Fuli Feng, Qing He |
| 2022 | WWW | AUC-oriented Graph Neural Network for Fraud Detection. | Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2022 | WWW | A Gain-Tuning Dynamic Negative Sampler for Recommendation. | Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou |
| 2022 | SIGIR | User-Centric Conversational Recommendation with Multi-Aspect User Modeling. | Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He |
| 2022 | SIGIR | Selective Fairness in Recommendation via Prompts. | Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He |
| 2022 | WSDM | Personalized Transfer of User Preferences for Cross-domain Recommendation. | Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He |
| 2022 | WiOpt | Content Caching with Personalized and Incumbent-aware Recommendation: An optimization Approach. | Yi Zhao, Zhanwei Yu, Qing He, Di Yuan |
| 2021 | AAAI | 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 |
| 2021 | ACL | PENS: A Dataset and Generic Framework for Personalized News Headline Generation. | Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie |
| 2021 | ACL | ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. | Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li |
| 2021 | ACL | Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. | Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li, Qing He |
| 2021 | CIKM | Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. | Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He |
| 2021 | CIKM | Low-dimensional Alignment for Cross-Domain Recommendation. | Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He |
| 2021 | EMNLP | ConRPG: Paraphrase Generation using Contexts as Regularizer. | Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li |
| 2021 | EMNLP | Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. | Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao, Qing He |
| 2021 | ICASSP | Multi-Rate Attention Architecture for Fast Streamable Text-to-Speech Spectrum Modeling. | Qing He, Zhiping Xiu, Thilo Khler, Jilong Wu |
| 2021 | ICONIP | BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. | Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye |
| 2021 | IJCAI | 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 |
| 2021 | Interspeech | Transformer-Based Acoustic Modeling for Streaming Speech Synthesis. | Chunyang Wu, Zhiping Xiu, Yangyang Shi, Ozlem Kalinli, Christian Fuegen, Thilo Khler, Qing He |
| 2021 | IGARSS | Improving Land Surface Temperature Simulation of NOAH-MP on the Tibetan Plateau. | Qing He, Hui Lu, Kun Yang, Long Zhao, Mijun Zou |
| 2021 | KDD | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. | Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang |
| 2021 | PRICAI | ARNet: Accurate and Real-Time Network for Crowd Counting. | Yinfeng Xia, Qing He, Wenyue Wei, Baoqun Yin |
| 2021 | RANLP | Transformer with Syntactic Position Encoding for Machine Translation. | Yikuan Xie, Wenyong Wang, Mingqian Du, Qing He |
| 2021 | WWW | Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. | Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2021 | WWW | GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. | Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He |
| 2021 | WWW | Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. | Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong |
| 2021 | SIGIR | Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. | Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He |
| 2021 | SIGIR | Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. | Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He |
| 2020 | AAAI | Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. | Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He |
| 2020 | ACML | CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. | Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He |
| 2020 | CIKM | Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. | Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He |
| 2020 | ECAI | Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. | Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He |
| 2020 | GLOBECOM | Semi-Persistent Scheduling for 5G Downlink Based on Short-Term Traffic Prediction. | Qing He, Gyrgy Dn, Georgios P. Koudouridis |
| 2020 | ICDM | Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. | Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He |
| 2020 | Interspeech | Interactive Text-to-Speech System via Joint Style Analysis. | Yang Gao, Weiyi Zheng, Zhaojun Yang, Thilo Khler, Christian Fuegen, Qing He |
| 2020 | IGARSS | Identifying Terrestrial Vegetation-Soil Moisture Oscillation from Satellite Observations. | Qing He, Siyu Yue, Hui Lu, Zhuang Liu, Xiaomeng Huang, Dara Entekhabi |
| 2020 | KDD | Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. | Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang |
| 2020 | WWW | Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. | Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He |
| 2020 | WWW | Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. | Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He |
| 2020 | WWW | Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. | Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He |
| 2020 | WWW | Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. | Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He |
| 2020 | SIGIR | Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. | Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He |
| 2019 | AAAI | Policy Optimization with Model-Based Explorations. | Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang |
| 2019 | AAAI | 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 |
| 2019 | EMNLP | Reading Like HER: Human Reading Inspired Extractive Summarization. | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He |
| 2019 | IJCAI | Unsupervised Neural Aspect Extraction with Sememes. | Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu |
| 2019 | INFOCOM | On Emptying a Wireless Network with Minimum-Energy Under Age Constraints. | Qing He, Gyrgy Dn, Viktoria Fodor |
| 2019 | KDD | The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. | Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong |
| 2019 | PAKDD | Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. | Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He |
| 2019 | WWW | Policy Gradients for Contextual Recommendations. | Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He |
| 2019 | SIGIR | Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. | Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He |
| 2018 | AAAI | Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. | Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He |
| 2018 | AAAI | Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. | Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He |
| 2018 | CIKM | MultiE: Multi-Task Embedding for Knowledge Base Completion. | Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He |
| 2018 | DASFAA | Free-Rider Episode Screening via Dual Partition Model. | Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He |
| 2018 | EMNLP | Knowledge Graph Embedding with Hierarchical Relation Structure. | Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He |
| 2018 | ICDM | A General Cross-Domain Recommendation Framework via Bayesian Neural Network. | Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He |
| 2018 | IJCAI | 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 |
| 2018 | INFOCOM | Minimizing age of correlated information for wireless camera networks. | Qing He, Gyrgy Dn, Viktoria Fodor |
| 2018 | KDD | Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. | Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He |
| 2018 | SIGIR | Attention-driven Factor Model for Explainable Personalized Recommendation. | Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He |
| 2017 | AAAI | Mechanism-Aware Neural Machine for Dialogue Response Generation. | Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He |
| 2017 | ICDE | Mining Precise-Positioning Episode Rules from Event Sequences. | Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He |
| 2017 | IJCAI | Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. | Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long |
| 2017 | ISIT | On optimal link scheduling with deadlines for emptying a wireless network. | Qing He, Di Yuan, Anthony Ephremides |
| 2017 | KSEM | Transfer Learning with Manifold Regularized Convolutional Neural Network. | Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He |
| 2017 | WWW | Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. | Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He |
| 2017 | WSDM | Representation Learning with Pair-wise Constraints for Collaborative Ranking. | Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He |
| 2016 | APSEC | Heterogeneous Cross-Company Effort Estimation through Transfer Learning. | Shensi Tong, Qing He, Yuting Chen, Ye Yang, Beijun Shen |
| 2016 | CIKM | Ensemble of Anchor Adapters for Transfer Learning. | Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He |
| 2016 | COMPSAC | Software Defect Prediction Using Semi-Supervised Learning with Change Burst Information. | Qing He, Beijun Shen, Yuting Chen |
| 2016 | IJCAI | Online Bayesian Max-Margin Subspace Multi-View Learning. | Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long |
| 2016 | IJCAI | Browsing Regularities in Hedonic Content Systems. | Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He |
| 2016 | Interspeech | An Adaptive Multi-Band System for Low Power Voice Command Recognition. | Qing He, Gregory W. Wornell, Wei Ma |
| 2016 | IGARSS | Estimating surface broadband emissivity of the Xinjiang deserts base on FTIR and MODIS data. | Yongqiang Liu, Huoqing Li, Ali Mamtimin, Wen Huo, Xinghua Yang, Qing He |
| 2016 | ISIT | A general optimality condition of link scheduling for emptying a wireless network. | Qing He, Di Yuan, Anthony Ephremides |
| 2016 | KDD | FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. | Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He |
| 2016 | KDD | From Online Behaviors to Offline Retailing. | Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He |
| 2016 | PAKDD | Bayesian Group Feature Selection for Support Vector Learning Machines. | Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long |
| 2016 | VTC | Successive Interference Cancellation for Throughput Maximization in Wireless Powered Communication Networks. | Ming Lei, Xingjun Zhang, Tong Zhang, Lei Lei, Qing He, Di Yuan |
| 2016 | UAI | Online Bayesian Multiple Kernel Bipartite Ranking. | Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li |
| 2016 | WiOpt | Optimizing freshness of information: On minimum age link scheduling in wireless systems. | Qing He, Di Yuan, Anthony Ephremides |
| 2015 | AAAI | Bayesian Maximum Margin Principal Component Analysis. | Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi |
| 2015 | CIKM | Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. | Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He |
| 2015 | CIKM | Heterogeneous Multi-task Semantic Feature Learning for Classification. | Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He |
| 2015 | ICDE | Online Frequent Episode Mining. | Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He |
| 2015 | ICDM | Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. | Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He |
| 2015 | IJCAI | Supervised Representation Learning: Transfer Learning with Deep Autoencoders. | Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He |
| 2015 | IJCNN | Improving ESVM with Generalized Cross-Validation. | Tianshu Feng, Fuzhen Zhuang, Qing He |
| 2015 | KDD | Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. | Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He |
| 2015 | SDM | Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. | Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang |
| 2014 | CIKM | Multi-task Multi-view Learning for Heterogeneous Tasks. | Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He |
| 2014 | CIS | A Low-Cost PKC-based RFID Authentication Protocol and its Implementation. | Lili Wei, Zhaotong Luo, Qiang Qu, Qing He, Jingwei Xu |
| 2014 | ECAI | Nonparametric Bayesian Multi-Task Large-margin Classification. | Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He |
| 2014 | ICDM | Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. | Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi |
| 2014 | PAKDD | Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. | Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi |
| 2014 | PIMRC | Maximum link activation in wireless networks with cooperative transmission and successive interference cancellation. | Qing He, Di Yuan |
| 2014 | WWW | Discovering and learning sensational episodes of news events. | Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi |
| 2014 | SNPD | Scalable bootstrap clustering for massive data. | Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi |
| 2013 | APWEB | A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. | Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi |
| 2013 | IJCAI | Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. | Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi |
| 2013 | IJCNN | Extreme Learning Machine combining matrix factorization for collaborative filtering. | Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi |
| 2013 | WSDM | Triplex transfer learning: exploiting both shared and distinct concepts for text classification. | Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi |
| 2012 | ICDM | Multi-task Semi-supervised Semantic Feature Learning for Classification. | Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi |
| 2012 | ICDM | Mining Trajectories for Spatio-temporal Analytics. | Songhua Xing, Xuan Liu, Qing He, Arun Hampapur |
| 2012 | ICMLA | Fast Time Series Classification Based on Infrequent Shapelets. | Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi |
| 2012 | ICRA | A novel correspondence searching strategy in multiocular vision. | Ning Wei, Baopu Li, Qing He, Chao Hu, Max Q.-H. Meng |
| 2012 | ISIT | On emptying a wireless network in minimum time. | Vangelis Angelakis, Anthony Ephremides, Qing He, Di Yuan |
| 2012 | ISITA | Revisiting minimum-length scheduling in wireless networks: An algorithmic framework. | Qing He, Vangelis Angelakis, Anthony Ephremides, Di Yuan |
| 2012 | ISNN | Parallel Decision Tree with Application to Water Quality Data Analysis. | Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi |
| 2012 | PAKDD | Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. | Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi |
| 2012 | SNPD | Parallel Implementation of Apriori Algorithm Based on MapReduce. | Ning Li, Li Zeng, Qing He, Zhongzhi Shi |
| 2011 | CloudCom | Parallel Outlier Detection Using KD-Tree Based on MapReduce. | Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi |
| 2011 | IJCAI | Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. | Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen |
| 2010 | AAAI | Nonparametric Curve Extraction Based on Ant Colony System. | Qing Tan, Qing He, Zhongzhi Shi |
| 2010 | CIKM | Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. | Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong |
| 2010 | ICDM | Ensemble-Based Method for Task 2: Predicting Traffic Jam. | Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter |
| 2010 | ICDM | Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report. | Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz |
| 2010 | ICDM | D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. | Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi |
| 2010 | ICMLC | A HSC-based sample selection method for support vector machine. | Qing He, Ning Li, Zhongzhi Shi |
| 2010 | ISNN | Local Bayesian Based Rejection Method for HSC Ensemble. | Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi |
| 2010 | SDM | Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. | Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi |
| 2009 | CloudCom | Parallel | Weizhong Zhao, Huifang Ma, Qing He |
| 2009 | ISNN | Rule Extraction and Reduction for Hyper Surface Classification. | Qing He, Jincheng Li, Zhongzhi Shi |
| 2008 | CIKM | Transfer learning from multiple source domains via consensus regularization. | Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He |
| 2008 | ICNC | The Data Selection Criteria for HSC and SVM Algorithms. | Qing He, Fuzhen Zhuang, Zhongzhi Shi |
| 2008 | ICNC | Complexity of Functional Learning on Some Classes of Multivariate Functions. | Peixin Ye, Qing He |
| 2008 | ISVC | Detecting Thalamic Abnormalities in Autism Using Cylinder Conformal Mapping. | Qing He, Ye Duan, Xiaotian Yin, Xianfeng Gu, Kevin Karsch, Judith H. Miles |
| 2008 | ISVC | A Novel Algorithm for Automatic Brain Structure Segmentation from MRI. | Qing He, Kevin Karsch, Ye Duan |
| 2008 | PAKDD | Extreme Support Vector Machine Classifier. | Qiuge Liu, Qing He, Zhongzhi Shi |
| 2007 | BIBE | Statistical Shape Analysis of the Corpus Callosum in Subtypes of Autism. | Qing He, Ye Duan, Judith H. Miles, Nicole Takahashi |
| 2007 | ICNC | Data Selection for Nonlinear Proximal Support Vector Machine. | Qiuge Liu, Qing He, Zhongzhi Shi |
| 2007 | ICNC | An Greedy-type Algorithm in m-term Approximation For Besov Class with Mixed Smoothness. | Peixin Ye, Qing He |
| 2007 | ISNN | Incremental Nonlinear Proximal Support Vector Machine. | Qiuge Liu, Qing He, Zhongzhi Shi |
| 2007 | MICCAI | Quantifying Calcification in the Lumbar Aorta on X-Ray Images. | Lars A. Conrad-Hansen, Marleen de Bruijne, Franois Lauze, Lszl B. Tank, Paola Pettersen, Qing He, Jianghong Chen, Claus Christiansen, Mads Nielsen |
| 2007 | SMC | Research on Business Intelligence in enterprise computing environment. | Lida Xu, Li Zeng, Zhongzhi Shi, Qing He, Maoguang Wang |
| 2006 | ISNN | HyperSurface Classifiers Ensemble for High Dimensional Data Sets. | Xiu-Rong Zhao, Qing He, Zhongzhi Shi |
| 2006 | PRIMA | Multi-modal Services for Web Information Collection Based on Multi-agent Techniques. | Qing He, Xiu-Rong Zhao, Sulan Zhang |
| 2005 | CSCWD | Research of temporal workflow process and resource modeling. | Jianqin Xie, Yong Tang, Qing He, Na Tang |
| 2005 | ISADS | An ideal run mode for mass transit based on ADS. | Qing He, Xiaoyun Feng, Jinling Zhu, Hongyun He |
| 2005 | ISADS | The simulation research for the ATO model based on fuzzy predictive control. | Jinling Zhu, Xiaoyun Feng, Qing He, Jian Xiao |
| 2004 | IJCNN | The application of OBE to neural networks. | Yan Jiang, Qing He, Tiaosheng Tong, Werner Dilger |
| 2002 | PROFES | Product and Process Metrics: A Software Engineering Measurement Expert System. | Yingxu Wang, Qing He, Chris Kliewer, Tony Khoo, Vincent Chiew, Wendy Nikoforuk, Lian Chen |
| 1996 | ICASSP | RNIW: a novel general-purpose DSP architecture. | Qing He, Chao-Huan Hou |