Guangneng HU

Professional Services

PC Member / Reviewer
2025: KDD, COLING, ICLR, WWW, ICML
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 16] IJCAI

[Jan 23] 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 25] ICDE

[Nov 25] 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

ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation. Mengyang Wu, Yuzhi Zhao, Jialun CAO, Mingjie Xu, zhongming jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, Chi-Wing Fu. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025 (Feb 25–Mar 4).
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), p.266-273. | [Official]
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), p.174–191. | [Official]
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]
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]
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]
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]
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]
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)]
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]
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]
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]
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

DANTE: Dialog graph enhanced prompt learning for conversational question answering over KGs. Jingyang Li, Shengli Song, Sitong Yan, Guangneng Hu, Chengen Lai, Yulong Zhou. Knowledge-Based Systems, Volume 301, 2024 (Jul 31). | [Official]
ChatMDG: A discourse parsing graph fusion based approach for multi-party dialogue generation. Jingyang Li, Shengli Song, Yixin Li, Hanxiao Zhang, & Guangneng Hu. Information Fusion, Volume 110, 2024 (May 13). | [Official]
Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback. Guang-Neng Hu, Xin-Yu Dai, Fengyu Qiu, Rui Xia, Tao Li, Shujian Huang, & Jiajun Chen. ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 12, Issue 2, 2018 (Jan 23), Article No.: 23, p.1–30. | [Official], [Code]

Peer-reviewed Workshop

MTNet: A Neural Approach for Cross-Domain Recommendation with Unstructured Text. Guangneng Hu, Yu Zhang, & Qiang Yang. KDD Deep Learning Day, 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. Guangneng Hu. ICML Workshop on Towards learning with limited labels, 2018

Thesis

Deep and Adversarial Knowledge Transfer in Recommendation. Guangneng Hu, Supervisors: Qiang Yang, & Lei Chen. Hong Kong University of Science and Technology, 2021. | [Official], [PQDT-Global]
推荐系统中多源信息融合和隐式反馈挖掘的研究. Guangneng Hu, Supervisors: Xin-Yu Dai. Nanjing University, 2016.
计算机系优硕提名（3人；优硕3人）

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]