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Publication search results
found 124 matches
- 2025
- Jian-Xun Mi
, Yanjun Wu, Qiyao Liang, Yanyao Huang, Lifang Zhou:
SimNSD: Similar neighborhood-feature constraint for semi-supervised object detection. J. Frankl. Inst. 362(3): 107546 (2025) - Seongku Kang
, Wonbin Kweon
, Dongha Lee
, Jianxun Lian
, Xing Xie
, Hwanjo Yu
:
Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. Trans. Recomm. Syst. 3(3): 38:1-38:28 (2025) - Zihan Luo
, Hong Huang
, Jianxun Lian
, Xiran Song
, Hai Jin
:
Towards Controllable Hybrid Fairness in Graph Neural Networks. KDD (1) 2025: 950-961 - Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen:
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. NAACL (Long Papers) 2025: 6372-6391 - Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen:
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. NAACL (Findings) 2025: 2930-2949 - Tianfu Wang
, Yi Zhan
, Jianxun Lian
, Zhengyu Hu
, Nicholas Jing Yuan
, Qi Zhang
, Xing Xie
, Hui Xiong
:
LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. WWW (Companion Volume) 2025: 510-519 - Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong:
LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. CoRR abs/2501.15749 (2025) - Hao Liao, Wensheng Lu, Jianxun Lian, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Ming-Yang Zhou, Xing Xie:
Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs. CoRR abs/2505.03336 (2025) - Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, José Hernández-Orallo, Aylin Caliskan, Jindong Wang:
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach. CoRR abs/2505.18882 (2025) - Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou, Xing Xie:
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? CoRR abs/2506.13065 (2025) - Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong:
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study. CoRR abs/2506.13464 (2025) - 2024
- Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu, Tao Wu, Xing Xie:
Recommender Systems - Frontiers and Practices. Springer 2024, ISBN 978-981-99-8963-8, pp. 1-280 - Yuchen Zhou
, Rui Li, Yu Dai
, Gongping Chen, Jianxun Zhang, Liang Cui, Xiaotao Yin:
Taking measurement in every direction: Implicit scene representation for accurately estimating target dimensions under monocular endoscope. Comput. Methods Programs Biomed. 256: 108380 (2024) - Gongping Chen
, Lu Zhou, Jianxun Zhang, Xiaotao Yin, Liang Cui, Yu Dai:
ESKNet: An enhanced adaptive selection kernel convolution for ultrasound breast tumors segmentation. Expert Syst. Appl. 246: 123265 (2024) - Xiran Song, Hong Huang, Jianxun Lian, Hai Jin:
XGCN: a library for large-scale graph neural network recommendations. Frontiers Comput. Sci. 18(3): 183343 (2024) - Guosheng Kang
, Bowen Liang
, Jianxun Liu
, Yiping Wen
, Yong Xiao
, Hejing Nie:
Web API Recommendation via Leveraging Content and Network Semantics. IEEE Trans. Netw. Serv. Manag. 21(6): 5977-5991 (2024) - Lei Li
, Jianxun Lian, Xiao Zhou
, Xing Xie:
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. AAAI 2024: 8670-8678 - Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie:
Aligning Large Language Models for Controllable Recommendations. ACL (1) 2024: 8159-8172 - Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie:
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. ICML 2024 - Tianfu Wang
, Liwei Deng
, Chao Wang
, Jianxun Lian
, Yue Yan
, Nicholas Jing Yuan
, Qi Zhang
, Hui Xiong
:
COMET: NFT Price Prediction with Wallet Profiling. KDD 2024: 5893-5904 - Yuxuan Lei
, Jianxun Lian
, Jing Yao
, Xu Huang
, Defu Lian
, Xing Xie
:
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD 2024: 1530-1541 - Xu Huang
, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW 2024: 3129-3138 - Yuxuan Lei
, Jianxun Lian
, Jing Yao
, Mingqi Wu
, Defu Lian
, Xing Xie
:
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) 2024: 935-938 - Jianxun Lian
, Yuxuan Lei
, Xu Huang
, Jing Yao
, Wei Xu
, Xing Xie
:
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. WWW (Companion Volume) 2024: 1031-1034 - Zheng Liu
, Yujia Zhou
, Yutao Zhu
, Jianxun Lian
, Chaozhuo Li
, Zhicheng Dou
, Defu Lian
, Jian-Yun Nie
:
Information Retrieval Meets Large Language Models. WWW (Companion Volume) 2024: 1586-1589 - Lei Li, Jianxun Lian, Xiao Zhou
, Xing Xie:
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. CoRR abs/2401.06633 (2024) - Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR abs/2402.18899 (2024) - Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang
, Jinqi Jiang, Xing Xie:
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR abs/2403.04483 (2024) - Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie:
Aligning Large Language Models for Controllable Recommendations. CoRR abs/2403.05063 (2024) - Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie:
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. CoRR abs/2403.06465 (2024)
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