Kangkang Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
12
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | From Chaos to Cure: A Prefix Heuristics Guided Model-Agnostic Adaptive Detoxification Framework. | Yuhu Shang, Xiang Cheng, Yimeng Ren, Huijia Wu, Xuexiong Luo, Kangkang Lu, Jian Zhao, Zhaofeng He |
| 2025 | IJCAI | R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases. | Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan |
| 2025 | PRICAI | HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models. | Zhen Cai, Yanhua Yu, Xidian Wang, Kangkang Lu, Tu Ao, Mingliang Yan, Liang Pang, Pinghui Wang, Tat-Seng Chua |
| 2024 | AAAI | Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. | Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua |
| 2024 | ECAI | Hop-based Heterogeneous Graph Transformer. | Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua |
| 2024 | ICDE | Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval. | Yang Yu, Meiyu Liang, Mengran Yin, Kangkang Lu, Junping Du, Zhe Xue |
| 2024 | KSEM | Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. | Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua |
| 2024 | KSEM | EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. | Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua |
| 2024 | RecSys | Information-Controllable Graph Contrastive Learning for Recommendation. | Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua |
| 2023 | ICASSP | On Adversarial Robustness of Audio Classifiers. | Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo |
| 2021 | ICLR | ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity. | Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo |
| 2019 | Interspeech | Semi-Supervised Audio Classification with Consistency-Based Regularization. | Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar |
| 2018 | ICPR | Dual-Resolution U-Net: Building Extraction from Aerial Images. | Kangkang Lu, Ying Sun, Sim Heng Ong |
| 2018 | IGARSS | Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. | Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sbastien Lefvre, Motaz El-Saban |