Guangneng Hu (胡光能)

Associate Professor (Tenured)
Sch. of Comp. Sci. & Tech.
Xidian Univ.

PhD'21, HK Univ. of Sci. & Tech.
MS'16 / BA'13, Nanjing Univ.

Office: Rm A1-627, Cyber Bldg., S. Campus,
Xidian Univ., Xi'An 710126
Email: A@B: A=njuhgn B=gmail.com

GuangnengHu
Guangneng Hu
Academic Profiles
I got PhD from HK Univ. of Sci. & Tech. in late 2021 with HKPFS funded, and BA/MS from Nanjing University in 2013/2016 with National Scholarship awarded, all in computer science. I joined Xidian Univ. in early 2022 as Huashan Elite Professor, where I am currently a tenured Associate Professor and master supervisor of Sch. of Comp. Sci. & Tech.

My research interests are deep transfer learning, natural language processing, recommender systems, privacy-preserving, and foundation models (large language models, LLMs). I have nearly ten first-author research publications that appeared in top conferences including WWW, EMNLP, NAACL, CIKM, and IJCAI, and in top journals including TKDD. Moreover, I have served as reviewer & PC member for top journals (incl. IEEE TPAMI) & conferences (incl. ACL/EMNLP/NAACL, ICML/NeurIPS/ICLR, AAAI/IJCAI, SIGKDD/CSCW/ICWSM) over 50 times.

I am looking for self-motivated master students to work with me. Undergraduates in Xidian Univ. are also highly welcomed. Drop me an email if you are interested!

中文简介
胡光能,男,汉族,1991年8月生,贵州赤水人,博士,副教授,研究生导师。2013年和2016在南京大学获得学士和硕士学位,2021年在香港科技大学获得博士学位,专业皆为计算机科学与技术。硕士加入自然语言处理实验室 (NLP@NJU),师从戴新宇教授,博士师从杨强教授(Co-supervisor: Prof. Lei Chen)。2022年1月入职西电,聘为华山菁英教授岗,以引进人才破格晋升长聘副教授,评为计算机学院硕士研究生指导教师。胡光能博士一直从事自然语言处理和机器学习的研究,以一作身份发表CCF推荐论文近十篇,包括IJCAI,WWW,EMNLP,CIKM,NAACL,ACM TKDD等。长期担任国际顶级学术期刊与会议的审稿人与程序委员50余次,包括ACL/EMNLP, ICML/NeurIPS/ICLR, AAAI/IJCAI, SIGKDD/CSCW,IEEE TPAMI等。

招收硕士研究生:i) 学术型研究方向:0835 软件工程; ii)专业型研究方向:0854 电子信息(085404计算机技术 085405软件工程)。 对科研和发表论文感兴趣尤其是想继续海内外深造的本科生(建议大二就开始谋划),或者对AI感兴趣的跨学科同学,也欢迎联系。

办公室: 南校区网安楼A1-627(邮编710126),西电,西安,陕西。

Highlights

link
Proj. Page "Most Influential CIKM Papers"
CoNet: Collaborative Cross Networks For Cross-Domain Recommendation
Ranking #6, CIKM 2018. Retrieved on March 3, 2021
News
Oct 2024 Our CoNet (CIKM 2018) work hit Google Scholar 400 citations
Jul 2024 DANTE Accepted by Knowledge-Based Systems
Jul 2024 "MAMO: Deep Multi-task Architecture Learning via Multi-objective Optimization with Gradients Mediative Kernel" Accepted by ECAI'24
Jul 2024 "Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples" Accepted by ECCV'24
May 2024 西电-华为AI大模型算法沙龙学术报告
May 2024 ChatMDG Accepted by Information Fusion
2024 华山学者人才基金
Dec 2023 "Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA" Accepted by AAAI'24
Nov 2023 Our CoNet (CIKM 2018) work hit Google Scholar 300 citations
Aug 2023 "基于图迁移学习的推荐系统研究" NSFC (国家自然科学基金) No. 62306220
Apr 2023 TITAN Accepted by IJCAI'23
Sep 2022 Promoted to tenured Assoc. Professor 晋升长聘副教授
Aug 2022 西安市智能软件工程重点实验室青年学者论坛主题报告
Jun 2022 Appointed as Master Supervisor 评为硕导
Dec 2021 I will join Xidian as an elite professor in Sch. of Comp. Sci. & Tech. 聘为华山菁英教授
Nov 2021 Doctoral degree awarded offically on this day, 26 Nov 2021 正式授予博士学位证!
Jun 2021 I completed my oral PhD thesis defense on this day, 2 Jun 2021 完成博士论文答辩!
Professional Services
PC Member / Reviewer
2025: KDD, COLING, ICLR
2024: ICLR, AAAI, LREC-COLING, ICWSM, SDM, ICML, KDD, ACL, ACM MM, COLM, NeurIPS
2023: ICLR, ICML, ACL, CIKM, NeurIPS, EMNLP
2022: AAAI, IJCAI, ICLR, ACL Rolling Review (ACL/NAACL), ICML, ICWSM, LREC, KDD, RecSys, COLING, EMNLP, NeurIPS
2021: IJCAI, EACL, NAACL, ACL, EMNLP, ICWSM, CSCW, CogSci, ICML, NeurIPS
2020: AAAI, IJCAI, ACL, EMNLP, WWW, ICML, NeurIPS
2019: ICWSM, MobileHCI, CSCW, ISWC (Wearable Computing), ACL, EMNLP
Journal Reviewer
2021: IEEE TPAMI
Conference Organization
2021: AAAI Workflow Co-Chair, Aug 2020 - Feb 2021, AAAI
Session Chair
2015: IJCAI Main track “Knowledge Acquisition”, Jul 25-31, 2015, Buenos Aires, Argentina.
Student Volunteer
2019: NAACL, Jun 2-7, 2019, Minneapolis, USA
学位论文评审专家
教育部学位与研究生教育发展中心(答辩前):2023, 2024 | 天津大学 厦大 西工大 大连理工 同济大学 华东师范 重大 中国地质大学 苏州大学 武汉理工 华东理工 新疆大学 江西师范大学 陕西科技 重庆理工 昆明理工 山西大学 西安邮电大学 湖北大学 五邑大学 佳木斯大学
教育部学位与研究生教育发展中心(抽检):2023, 2024 | 华南理工 火箭军工程大学
凡科、德谷、国研等评审平台:2023, 2024 | 国防科大 中山大学 四川大学 华南理工 合肥工业大学 安徽大学 中国矿业大学 重庆师范大学
Voluntary & Social Services
Computer Lab Assistant (系机房管理员助理), Computer Science Department, Nanjing University, 2009-2013
Counsellor Assistant (系辅导员助理), Computer Science Department, Nanjing University, 2011-2012
Librarian Assistant (系图书管理员助理), Computer Science Department, Nanjing University, 2013-2015
Wikipedia Contributor (username: "Velvel2"), Over 700 edits, since 28 August 2014
Selected Conferences (Deadline)
AI & Machine Learning
[Jan 10] IJCAI
[Feb 01] ICML
[Feb 09] UAI
[Mar 15] ECML PKDD
[Apr 19] ECAI
[May 22] NeurIPS
[Aug 07] AAAI
[Sep 27] ICLR
Data Mining
[Jan 18] SIGIR
[Feb 01] KDD
[Apr 10] ISWC
[Apr 22] RecSys
[May 13] CIKM
[May 15] ICWSM
[Jun 14] ICDM
[Aug 02] ICDE
[Aug 01] KDD
[Aug 07] WSDM
[Sep 15] ICWSM
[Sep 15] SDM
[Nov 28] ICDE
[Dec 15] DASFAA
NLP & Computer Vision
[Feb 15] ACL
[Feb 29] ECCV
[Mar 08] ICCV
[Jun 15] EMNLP
[Sep 16] LREC-COLING
[Nov 14] CVPR
[Oct 15] NAACL
Interdisciplinary & Media
[Feb 16] ICMR
[Feb 22] MICCAI
[Mar 21] VIS
[Mar 27] UIST
[Apr 08] ACM MM
[Sep 09] ICASSP
[Sep 14] CHI
[Oct 07] TheWebConf (Formerly WWW)
[Dec 30] ICME
AI4SE & Others
[Mar 15] ICSE (1st)
[Apr 12] ISSTA (2nd)
[May 31] ASE
[Jul 26] ICSE (2nd)
[Sep 5] FSE
[Dec 15] ISSTA (1st)
Teaching

数据管理技术, UG core, Xidian Univ., 2024F
语义计算 (机器学习), PG course, Xidian Univ., 2022F, 2023F, 2024F
工程概论III (预测与分析), UG general, Xidian Univ., 2022F, 2023F
(TA) 面向对象程序设计 (用C++语言描述), UG core, Xidian Univ., 2022S
(TA) COMP 2012H: Honors Object-Oriented Programming and Data Structures, UG core, Instructor: Desmond Tsoi, HKUST, Fall 2018
(TA) COMP 5212: Machine Learning (机器学习), PG core, Instructor: Dit-Yan Yeung, HKUST, Spring 2018
(TA) Compilers (编译原理), UG core, Instructor: Xinyu Dai, Nanjing Univ., 2015
(TA) Numerical Computation (数值计算), UG course, Instructors: Jinxi Zhao and Fu-Rao Shen, Nanjing Univ., 2014
Education and Experiences
Hong Kong University of Science and Technology (HKUST 香港科大)
PhD in Computer Science and Engineering, 2016 - 2021, Hong Kong
Advisor: Prof. Qiang Yang(杨强)  &   Prof. Lei Chen(陈雷) (Co-supervisor)
Thesis: Deep and Adversarial Knowledge Transfer in Recommendation
Nanjing University (NJU 南京大学)
Master in Computer Science and Technology, 2013 - 2016, Nanjing
Advisors: Prof. Xinyu Dai(戴新宇)   &   Prof. Jiajun Chen(陈家骏)
Natural Language Processing Group (自然语言处理研究组)
Nanjing University (NJU 南京大学)
Bachelor in Computer Science and Technology, 2009 - 2013, Nanjing
GPA: 4.33/5,   Rank: 17/165
Experiences

AAAI-21 Conference Organizers, AAAI-21 Workflow Co-chairs, Aug 2020 - Feb 2021.

Summer Intern, 腾讯社交广告 (广点通), July - Oct, 2015, Tencent, Shenzhen.

Winter Intern, memect.cn (文因互联), Jan - Feb, 2016, Memect, Beijing.

Honors and Awards

AAAI-21 workflow chair honorarium, AAAI, 2020

HKPFS, Research Grants Council of Hong Kong, 2016 - 2020

Excellent Graduate Student Mention (提名), 2016, Nanjing University

National Scholarship (国奖), 2015, Minstry of Education, China

Excellent Undergraduate Student (优秀毕业生), 2013, Nanjing University

National Scholarship for Encouragement (国家励志), 2012, Minstry of Education, China

"台湾知行文教獎助學金", 2011-2012, Nanjing University

Travel Grants

Nanjing University Travel Grant 2015 (net CN¥1,500): IJCAI-15, Jul 25 - 31, Buenos Aires, Argentina, 2015. Oral

HKUST Research Travel Grant 2017 (HK$7,863): PAKDD-17, May 23 - 26, Jeju, South Korea, 2017. Oral

HKUST Research Travel Grant 2018 (HK$8,000): ICML-18, Jul 10 - 15, Stockholm, Sweden, 2018. Workshop poster

HKPFS Conference Allowance 2018 (HK$14,045): KDD-18, Aug 19 - 23, London, UK, 2018. Workshop oral

HKUST Research Travel Grant 2018 (HK$7,922): CIKM-18, Oct 22 - 26, Turin, Italy, 2018. Oral

SIGIR Student Travel Grants for CIKM 2018 (US$1,000)

HKPFS Conference Allowance 2019 (HK$13,534): WWW-19, May 13-17, San Francisco. Poster

NAACL 2019 Travel Grant (US$1,300): NAACL-19, Jun 2-7, Minneapolis. Oral

Talks

slides
"Personalized Neural Embeddings for Collaborative Filtering with Text"
NAACL 2019 Oral presentation, 4 Jun 2019, Minneapolis, Minnesota   [Schedule]

slides
"Recommender Systems: Two Threads and Their Meeting"
WeChat Course (微信“四点一课”), 22 Mar 2019, WeChat@TIT, Guangzhou   [Poster]

slides
"CoNet: Collaborative Cross Networks for Cross-Domain Recommendation"
CIKM 2018 Oral presentation, 24 Oct 2018, Turin, Italy   [Schedule]

slides
"CoNet: Collaborative Cross Networks for Cross-Domain Recommendation"
KDD 2018 Workshop UMCit, 20 Aug 2018, London   [Schedule]

slides
"Integrating Reviews into Personalized Ranking for Cold Start Recommendation"
PAKDD 2017 Oral presentation, 26 May 2017, Jeju, South Korea   [Schedule]

slides
"融合多源信息的推荐系统"
Memect (文因互联)周末学术交流会, 20 Feb 2016, Beijing   [Poster]

slides
"A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews"
IJCAI 2015 Oral presentation, 30 Jul 2015, Buenos Aires, Argentina   [Schedule]

slides
"A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews"
CIPS-YSS NLP Seminar (中文信息学会长三角地区自然语言处理青年学者论坛), 25 May 2015, Nanjing University, Nanjing   [Schedule]
Research
Conference
  1. MAMO: Deep Multi-task Architecture Learning via Multi-objective Optimization with Gradients Mediative Kernel. Yuzheng Tan, Guangneng Hu, & Shuxin Zhang. Proceedings of the European Conference on Artificial Intelligence (ECAI), 2024 (Oct 19-24).
  2. Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples. Chengen Lai, Shengli Song, Sitong Yan, & Guangneng Hu. Proceedings of the European Conference on Computer Vision (ECCV), 2024 (Sep 29-Oct 4).
  3. Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA. Chengen Lai, Shengli Song, Shiqi Meng, Jingyang Li, Sitong Yan, & Guangneng Hu. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024 (Feb 20-28), p.2849–2857.   |   [Code+Data],   [Official]
  4. TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions. Sitong Yan, Shengli Song, Jingyang Li, Shiqi Meng, & Guangneng Hu. Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2023 (Aug 19-25), p.5251–5259   |   [Official]
  5. Dual Side Deep Context-aware Modulation for Social Recommendation. Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang, & Jiajun Chen. Proceedings of World Wide Web Conference (TheWebConf), 2021 (Apr 19-23), p.2524–2534.   |   [Revs],   [Official],   [Oral],   [Code+Data],   [Proj. Page]
  6. TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. Guangneng Hu, & Qiang Yang. Proceedings of European Chapter of the Association for Computational Linguistics (EACL), 2021 (Apr 19-23), p.734–744.   |   [Revs],   [Official],   [Oral (Slides) (Video1 | Video2)],   [Poster]
  7. PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation. Guangneng Hu, & Qiang Yang. Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2020 (Nov 16-20), p.4506–4516.   |   [Revs],   [Official],   [Code+Data]
  8. Personalized Neural Embeddings for Collaborative Filtering with Text. Guangneng Hu. Proceedings of North American Chapter of the Association for Computational Linguistics (NAACL), 2019 (Jun 2-7), p.2082–2088.   |   [Revs],   [Official],   [Oral (Slides)]
  9. Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. Guangneng Hu, Yu Zhang, & Qiang Yang. Proceedings of World Wide Web Conference (TheWebConf), 2019 (May 13-17), p.2822–2829.   |   [Revs],   [Official],   [Code],   [Poster]
  10. CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. Guangneng Hu, Yu Zhang, & Qiang Yang. Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), 2018 (Oct 22-26), p.667–676.   |   [Revs],   [Official],   [Oral (Slides)],   [Code],   [Proj. Page],   [GitHub Repo]
  11. Integrating Reviews into Personalized Ranking for Cold Start Recommendation. Guang-Neng Hu, & Xin-Yu Dai. Advances in Knowledge Discovery and Data Mining (PAKDD), 2017 (Sep 18-22), p.708-720.   |   [Official],   [Oral]
  12. A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews. Guang-Neng Hu, Xin-Yu Dai, Yunya Song, Shujian Huang, & Jiajun Chen. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015 (Jul 25-31), p.1756-1762.   |   [Official],   [Code],   [Oral]
Journal
Thesis
Book Chapter

pdf
"Chapter: Transfer Learning in Recommender Systems". Weike Pan, & Guangneng Hu
In Transfer Learning, p.279-288. Qiang Yang, Yu Zhang, Wenyuan Dai, & Sinno Pan. Cambridge Univ. Press, UK, 2020.   |   [Chinese Version]
Research Interests

"Research is for curiosity and fun, though practical implications can emerge." --- Zhihua Zhou

I have been working on the following topics:

While some new ones are coming in:

  • Multimodal learning: NER, VQA, VQA-NLE, Vision-language models, CLIP-like loss
  • Large language models (LLMs): Recsys
  • Artificial intelligence-generated content (AIGC): Counterfactual
Media

迁移学习阅读贴士, 机器之心, 8月17日, 2020

如何杜绝垃圾邮件的“入侵” (Tips for fighting spam emails), 《中学科技》 (Junior Science), 2014年 第11期 (PDF, Link)

AI blogs on 52cs.com, 2014 - 2015

Research Tips
The Three Golden Rules for Successful Scientific Research, Edsger Dijkstra, Springer-Verlag
You and Your Research, Richard Hamming, Bell Communications Research [pdf]
How to write a great research paper, Simon Peyton Jones, Microsoft Research Cambridge
Instructions for PhD Students, Dimitris Papadias, HKUST
Research Sponsors
NSFC