基本信息

王浩,教授,海外人才引进
电子邮件: cashenry@126.com
通信地址: 中关村南四街4号,中国科学院软件所

研究兴趣

写在前面: 我们不培养成为日夜加班的码农,我们只培养成为数据科学领域的未来领袖。

  • 数字经济新时代,致力于培养学生成为具有批判性思维、能用创新思维去解决问题甚至尚未发现的问题,对物理和数字世界持续充满好奇,并勇于提出新问题的大数据和人工智能人才,更好地适应数字化、智能化新时代,助力各行业数字化转型与变革。

  • 目前致力于探索通用人工智能(Artificial General Intelligence,AGI),让机器智能像人的智能一样具备思考、规划、推理与行动能力,让人工智能AI在我们的日常生活和工作中无处不在。

New2024年即将指导研究生挑战前沿技术在如下方向但不限于:

聚焦数据科学与人工智能前沿技术方向:

  • AI智能软件开发与工程:AIOS-AI操作系统、AI开发新范式
  • 生成式AI大规模语言模型(LLM)、多模态大模型(VLM)
  • 智能体助手Copilot:检索增强生成 RAG、 LLM-Powered AI Agent、Convesational AI、智能搜索与推荐

Google Scholarhttps://scholar.google.com/citations?user=N4rQYDAAAAAJ&hl=en


20231篇文章发表在 NeurIPS2023

       UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction

20231篇文章发表在 ICCV2023

       A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation

20231篇跨模态检索发表在期刊TIP

Fine-Grained Video Retrieval with Scene Sketches

20231篇基于隐私计算的智能推荐文章发表在WSDM2023

Federated Unlearning for On-Device Recommendation

【2022】1篇城市计算轨迹生成文章发表在ICDM2022

A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation

【2022】1篇基于隐私计算情感识别文章发表在期刊ACM TIST

Federated Learning for Personalized Humor Recognition

【2021】1篇关于图表示学习方法发表在期刊 TKDE

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning

【2021】1 篇关于语音预训练模型方法发表在ACM MM 2021

MusicBERT: A Self-supervised Learning of Music Representation

【2021】1 篇 推荐系统技术发表在 KDD 2021

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

【2021】2篇关于对话推荐和知识图谱方法发表在 SIGIR 2021

· Learning to Ask Appropriate Questions in Conversational Recommendation

· Relational Learning with Gated and Attentive NeighborAggregator for Few-Shot Knowledge Graph Completion

【2021】1篇 “全场景自然对话技术” 发表在 WWW 2021

· Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection

【2021】2篇 智能对话技术发表在AAAI 2021

· CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts

· Keyword-Guided Neural Conversational Model

  • 1篇 EMNLP20201 WWW2020、1TOIS

  • 1篇 KDD2019 、 1篇 ICDM 2019 1篇期刊KAIS 

  • 4篇 KDD20181篇 ACM MM20181篇 IJCAI 20181篇 WWW20181篇期刊 ACM TIST1篇 AAAI 2018 、1篇期刊 IEEE Transactions on Affective Computing 

  • 荣获智能系统国际会议SMC2015 唯一杰出论文奖(Franklin V. Taylor Memorial Award


曾主持项目:

国家自然科学基金,2017-2020
所杰出青年人才发展专项,2015-2018
教育部留学回国人员启动基金,2015-2016
国家重点基础研究发展计划(973计划),2014-2017
国家自然科学基金,2014-2016
北京市自然科学基金,2014-2015
所海外人才启动基金,2014-2015 
北京市科技计划项目,2013-2014

招生信息

欢迎具有相关专业知识背景的优秀学生报考,Email是直接联系到我最有效的方式。

工作经历

2015-,岗位教授,计算机科学与技术学院,中国科学院大学

2012-,副研究员,大数据智能实验室,中科院软件所

教育背景

博士,国家公派留学生,日本东京大学以及美国加州大学伯克利分校联合培养。斯坦福大学、麻省理工学院等高校访问


出版信息

国际会议 Conference 2014-2019

1. Enhancing collaborative filtering with generative augmentation, KDD2019

2. StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments,  KDD 2018

3. Neural Memory Streaming Recommender Networks with Adversarial Training, KDD 2018

4. Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching, KDD 2018

5. PME: projected metric embedding on heterogeneous networks for link prediction, KDD2018

6. Tada: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction, ICDM 2018

7. A Machine Reading Comprehension-based Approach for Featured Snippet Extraction, ICDM 2018

8.  Redundancy-resistant Generative Hashing for Image Retrieval, IJCAI 2018

9. Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data, ACM MM 2018

10. A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. KDD2017

11. Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. AAAI 2017.

12. SuHierarchical Dynamic Parsing and Encoding for Action Recognition. ECCV 2016.

13. Learning Graph-based POI Embedding for Location-based Recommendation. CIKM 2016.

14. Discovering Interpretable Geo-Social Communities for User Behavior Prediction. ICDE 2016.

15. Argumentation-Based Multi-Agent Decision Making with Privacy Preserved. AAMAS 2016.

16. A Unified Framework for Fine-Grained Opinion Mining from Online Reviews. HICSS 2016.

17. EventPanorama: A Framework for Multi-grained Event Detection, Visualization and Perception from Online News, HICSS 2016.

18. LSIF: A System for Large-scale Information Flow Detection Based on Topic-related Semantic Similarity Measurement. IEEE/WIC/ACM WI 2015.

19. Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation “. CIKM 2015.

20. RCFGED: Retrospective Coarse and Fine-Grained Event Detection from Online News.  SMC 2015.  (Best Paper Award)

21. CiFDAL: A graph layout algorithm to enhance human cognition in Idea Discovery. *SMC 2015*. 

22. Transfer Feature Representation via Multiple Kernel Learning.  AAAI 2015.

23.  A Bootstrapping Based Refinement Framework For Mining Opinion Words and Targets. CIKM 2014.

24. Human-Centric Computational Knowledge Enviroment for Complex and Ill-Stutured Problem Solving.  SMC 2014. 

25. An Improved IdeaGraph Algorithm for Discovering Important Rare Events. SMC 2014. 

26. Cross-Domain Metric Learning Based on Information Theory.  AAAI 2014.



国际期刊 Journal 

1. Online Sales Prediction via Trend Alignment based Multi-Task Recurrent Neural Network, KAIS, 2019

2. Semi-Supervised Domain Adaptation via Fredholm Integral based Kernel Methods, Pattern Recognition, 2018

3. Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory, Neural Computation, 2018

4. Resumevis: A visual analytics system to discover semantic information in semi-structured resume data, ACM Transactions on Intelligent Systems and Technology (TIST) , 2018

5. Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation, IEEE Transaction on Knowledge and Data Engineering (TKDE). 2017. 

6. A cognition graph approach for insights generation from event sequences. Cluster Computing, 2017.

7. Discriminative Dimensionality Reduction for Multi-dimensional Sequences[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

8. Emotion Analysis for Personality Inference from EEG Signals, TAC, 2017

9. Discriminative Transformation for Multi-Dimensional Temporal Sequences (TIP). 2017

10. Adapting to User Interest Drift for POI Recommendation.IEEE Transaction on Knowledge and Data Engineering (TKDE). 2016

11. A Hybrid Term-Term Relations Analysis Approach for Topic Detection. Knowledge-based Systems (KBS). 2016.

12. Idea discovery: A scenario-based systematic approach for decision making in market innovation, Expert Systems with Applications (ESWA), 2013. 

13. Innovation Support System for Creative Product Design Based on Chance Discovery,  Expert Systems With Applications (ESWA), 2012.