Heng Chang

According to our database, Heng Chang authored at least 46 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification.

Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., May, 2024

Covert communications in STAR-RIS-aided rate-splitting multiple access systems.

Heng Chang, Hai Yang, Shuobo Xu, Xiyu Pang, Hongwu Liu

Phys. Commun., 2024

On the Limitations and Prospects of Machine Unlearning for Generative AI.

Shiji Zhou, Lianzhe Wang, Jiangnan Ye, Yongliang Wu, Heng Chang

CoRR, 2024

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System.

Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min

CoRR, 2024

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.

Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang

CoRR, 2024

Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning.

Shengyu Tao, Mengtian Zhang, Zixi Zhao, Haoyang Li, Ruifei Ma, Yunhong Che, Xin Sun, Lin Su, Xiangyu Chen, Zihao Zhou, Heng Chang, Tingwei Cao, Xiao Xiao, Yaojun Liu, Wenjun Yu, Zhongling Xu, Yang Li, Han Hao, Xuan Zhang, Xiaosong Hu, Guangmin Zhou

CoRR, 2024

One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments.

Ke Yi, Yuhui Xu, Heng Chang, Chen Tang, Yuan Meng, Tong Zhang, Jia Li

CoRR, 2024

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient.

Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Wenbo Zhu, Heng Chang, Xiao Zhou, Xu Yang

CoRR, 2024

CodeSwap: Symmetrically Face Swapping Based on Prior Codebook.

Xiangyang Luo, Xin Zhang, Yifan Xie, Xinyi Tong, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification.

Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Path-based Explanation for Knowledge Graph Completion.

Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models.

Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhengsu Chen, Xiaopeng Zhang, Qi Tian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering.

Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reusing Transferable Weight Increments for Low-resource Style Generation.

Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar R. Zaïane

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hyperbolic Contrastive Learning for Cross-Domain Recommendation.

Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation.

Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

On user fairness of uplink rate splitting multiple access with randomly deployed users.

Heng Chang, Pengxu Chen, Shuobo Xu, Yuming Mao, Hongwu Liu

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge.

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang

IEEE Trans. Knowl. Data Eng., May, 2023

Semi-Supervised Hierarchical Graph Classification.

Jia Li, Yongfeng Huang, Heng Chang, Yu Rong

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach.

Heng Chang, Jun Guo, Wenwu Zhu

IEEE Trans. Big Data, February, 2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.

Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang

CoRR, 2023

Knowledge Graph Completion with Counterfactual Augmentation.

Heng Chang, Jie Cai, Jia Li

Proceedings of the ACM Web Conference 2023, 2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.

Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adversarially Robust Neural Architecture Search for Graph Neural Networks.

Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level.

Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

T-spline surface smoothing based on 1-ring neighborhood space angle.

Aizeng Wang, Ling Li, Heng Chang, Gang Zhao, Wei Wang, Jiaming Yang

J. Comput. Des. Eng., 2022

Online Continual Adaptation with Active Self-Training.

Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

AutoGL: A Library for Automated Graph Learning.

Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

CoRR, 2021

Not All Low-Pass Filters are Robust in Graph Convolutional Networks.

Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spectral Graph Attention Network with Fast Eigen-approximation.

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Power up! Robust Graph Convolutional Network via Graph Powering.

Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Spectral Graph Attention Network.

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu

CoRR, 2020

Implicit Graph Neural Networks.

Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data.

Jun Guo, Heng Chang, Wenwu Zhu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The General Black-box Attack Method for Graph Neural Networks.

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang

CoRR, 2019

Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering.

Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi

CoRR, 2019

The Finite Element Analysis of a Dish Tubesheet Structure.

Heng Chang, Caifu Qian, Huifang Li

Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2012

End-user-oriented telco mashups: the OMELETTE approach.

Olexiy Chudnovskyy, Tobias Nestler, Martin Gaedke, Florian Daniel, José Ignacio Fernández-Villamor, Vadim I. Chepegin, José Angel Fornas, Scott Wilson, Christoph Kögler, Heng Chang

Proceedings of the 21st World Wide Web Conference, 2012

2010

On the Improving Strategies upon the Route Cache of DSR in MANETs.

Jiaxu Chen, Yazhe Tang, Dian Fu, Heng Chang

Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010

MarcoFlow: Modeling, Deploying, and Running Distributed User Interface Orchestrations.

Florian Daniel, Stefano Soi, Stefano Tranquillini, Fabio Casati, Heng Chang, Yan Li

Proceedings of the Business Process Management 2010 Demonstration Track, 2010

2009

Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV.

Sheng Li, Yong-Fang Yao, Xiao-Yuan Jing, Heng Chang, Shi-Qiang Gao, David Zhang, Jing-Yu Yang

IEICE Trans. Inf. Syst., 2009

Face Recognition Based on a Gabor-2DFisherface Approach with Selecting 2D Gabor Principal Components and Discriminant Vectors.

Xiao-Yuan Jing, Heng Chang, Sheng Li, Yong-Fang Yao, Qian Liu, Lu-Sha Bian, Jiang-Yue Man, Chao Wang

Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009

The Extensions of OWL on Properties Exclusion and the Corresponding Semantic Parser.

Yazhe Tang, Dan Wang, Fengfan Huang, Heng Chang

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008

User Profile Management for Personalized Telecom Service.

Huan Wang, Xiaomin Shi, Yan Li, Heng Chang, Weiliang Chen, Jie Tang, Eduardo Martins

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

2004

Distributed Server Selection with Imprecise State for Replicated Server Group.

Heng Chang, Weijia Jia, Ling Zhang

Proceedings of the 7th International Symposium on Parallel Architectures, 2004