Distributed Server Selection with Imprecise State for Replicated Server Group. - Heng Chang; Weijia Jia 001; Ling Zhang (ISPAN, 2004)

User Profile Management for Personalized Telecom Service. - Huan Wang; Xiaomin Shi; Yan Li; Heng Chang; Weiliang Chen; Jie Tang; Eduardo Martins (ICYCS, 2008)

The Extensions of OWL on Properties Exclusion and the Corresponding Semantic Parser. - Yazhe Tang; Dan Wang; Fengfan Huang; Heng Chang (CSIE (1), 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 001; Yong-Fang Yao; Qian Liu 010; Lu-Sha Bian; Jiang-Yue Man; Chao Wang (WGEC, 2009)

Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV. - Sheng Li 001; Yong-Fang Yao; Xiao-Yuan Jing; Heng Chang; Shi-Qiang Gao; David Zhang 001; Jing-Yu Yang 001 (IEICE Trans. Inf. Syst., 2009)

MarcoFlow: Modeling, Deploying, and Running Distributed User Interface Orchestrations. - Florian Daniel; Stefano Soi; Stefano Tranquillini; Fabio Casati; Heng Chang; Yan Li (BPM (Demos), 2010)

On the Improving Strategies upon the Route Cache of DSR in MANETs. - Jiaxu Chen; Yazhe Tang; Dian Fu; Heng Chang (UIC, 2010)

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 (WWW (Companion Volume), 2012)

The Finite Element Analysis of a Dish Tubesheet Structure. - Heng Chang; Caifu Qian; Huifang Li (AIAM (IEEE), 2019)

Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering. - Ming Jin 002; Heng Chang; Wenwu Zhu 001; Somayeh Sojoudi (CoRR, 2019)

The General Black-box Attack Method for Graph Neural Networks. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Honglei Zhang; Peng Cui 001; Wenwu Zhu 001; Junzhou Huang (CoRR, 2019)

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Honglei Zhang; Peng Cui 001; Wenwu Zhu 001; Junzhou Huang (AAAI, 2020)

Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data. - Jun Guo 008; Heng Chang; Wenwu Zhu 001 (AAAI, 2020)

Implicit Graph Neural Networks. - Fangda Gu; Heng Chang; Wenwu Zhu 001; Somayeh Sojoudi; Laurent El Ghaoui (NeurIPS, 2020)

Spectral Graph Attention Network. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Somayeh Sojoudi; Junzhou Huang; Wenwu Zhu 001 (CoRR, 2020)

Power up! Robust Graph Convolutional Network via Graph Powering. - Ming Jin 002; Heng Chang; Wenwu Zhu 001; Somayeh Sojoudi (AAAI, 2021)

Spectral Graph Attention Network with Fast Eigen-approximation. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Somayeh Sojoudi; Junzhou Huang; Wenwu Zhu 001 (CIKM, 2021)

Not All Low-Pass Filters are Robust in Graph Convolutional Networks. - Heng Chang; Yu Rong 001; Tingyang Xu; Yatao Bian; Shiji Zhou; Xin Wang 019; Junzhou Huang; Wenwu Zhu 001 (NeurIPS, 2021)

AutoGL: A Library for Automated Graph Learning. - Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Heng Chang; Zeyang Zhang 001; Yijian Qin; Jiyan Jiang; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2021)

Online Continual Adaptation with Active Self-Training. - Shiji Zhou; Han Zhao 002; Shanghang Zhang; Lianzhe Wang; Heng Chang; Zhi Wang 001; Wenwu Zhu 001 (AISTATS, 2022)

T-spline surface smoothing based on 1-ring neighborhood space angle. - Aizeng Wang; Ling Li; Heng Chang; Gang Zhao 007; Wei Wang 261; Jiaming Yang (J. Comput. Des. Eng., 2022)

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. - Lianzhe Wang; Shiji Zhou; Shanghang Zhang; Xu Chu; Heng Chang; Wenwu Zhu 001 (CVPR, 2023)

Adversarially Robust Neural Architecture Search for Graph Neural Networks. - Beini Xie; Heng Chang; Ziwei Zhang 001; Xin Wang 019; Daixin Wang; Zhiqiang Zhang 012; Rex Ying; Wenwu Zhu 001 (CVPR, 2023)

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. - Kehong Gong; Dongze Lian; Heng Chang; Chuan Guo 002; Zihang Jiang; Xinxin Zuo; Michael Bi Mi; Xinchao Wang (ICCV, 2023)

Knowledge Graph Completion with Counterfactual Augmentation. - Heng Chang; Jie Cai; Jia Li 009 (WWW, 2023)

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. - Kehong Gong; Dongze Lian; Heng Chang; Chuan Guo 002; Xinxin Zuo; Zihang Jiang; Xinchao Wang (CoRR, 2023)

Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach. - Heng Chang; Jun Guo 008; Wenwu Zhu 001 (IEEE Trans. Big Data, 2023)

Semi-Supervised Hierarchical Graph Classification. - Jia Li 009; Yongfeng Huang; Heng Chang; Yu Rong 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Honglei Zhang; Peng Cui 001; Xin Wang 019; Wenwu Zhu 001; Junzhou Huang (IEEE Trans. Knowl. Data Eng., 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., 2023)

PocketLG: Protein Binding Pocket Identification Using Protein Language Model and Graph Transformer. - Li Zhang; Heng Chang; Zehua Sun; Wenjie Li; Li Zhu; Han Wang 028 (BIBM, 2024)

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. - Tian Bian; Yifan Niu; Heng Chang; Divin Yan; Junzhou Huang; Yu Rong 001; Tingyang Xu; Jia Li 009; Hong Cheng 001 (CIKM, 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 (CIKM, 2024)

Reusing Transferable Weight Increments for Low-resource Style Generation. - Chunzhen Jin; Eliot Huang; Heng Chang; Yaqi Wang 004; Peng Cao 001; Osmar R. Zaïane (EMNLP, 2024)

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering. - Chang Zong; Yuchen Yan; Weiming Lu 001; Jian Shao 001; Yongfeng Huang; Heng Chang; Yueting Zhuang (EMNLP, 2024)

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models. - Yuhui Xu; Lingxi Xie; Xiaotao Gu; Xin Chen 033; Heng Chang; Hengheng Zhang; Zhengsu Chen; Xiaopeng Zhang 008; Qi Tian 001 (ICLR, 2024)

Path-based Explanation for Knowledge Graph Completion. - Heng Chang; Jiangnan Ye 003; Alejo Lopez-Avila; Jinhua Du; Jia Li 009 (KDD, 2024)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. - Beini Xie; Heng Chang; Ziwei Zhang 001; Zeyang Zhang 001; Simin Wu; Xin Wang 019; Yuan Meng; Wenwu Zhu 001 (KDD, 2024)

CodeSwap: Symmetrically Face Swapping Based on Prior Codebook. - Xiangyang Luo; Xin Zhang; Yifan Xie; Xinyi Tong 002; Weijiang Yu; Heng Chang; Fei Ma 006; Fei Richard Yu (ACM Multimedia, 2024)

Average Age of Information for Multi-Source Single Buffer Preemption Queueing Model with Packet Dropping in Service. - Xingyuan Zhang; Xiangdong Jia; Heng Chang; Hailong Tian (VTC Fall, 2024)

A closer look at the belief propagation algorithm in side-channel attack on CCA-secure PQC KEM. - Kexin Qiao; Zhaoyang Wang; Heng Chang; Siwei Sun; Zehan Wu; Junjie Cheng; Changhai Ou; An Wang 001; Liehuang Zhu (Sci. China Inf. Sci., 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 021 (CoRR, 2024)

One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments. - Ke Yi 003; Yuhui Xu; Heng Chang; Chen Tang; Yuan Meng; Tong Zhang 015; Jia Li 009 (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; et al. (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 001; Han Liu; Henry Peng Zou; Yiqiao Jin; Yijia Xiao; Yichen Wang; Shenghao Wu; Zongxing Xie; et al. (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)

On the Limitations and Prospects of Machine Unlearning for Generative AI. - Shiji Zhou; Lianzhe Wang; Jiangnan Ye 003; Yongliang Wu; Heng Chang (CoRR, 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)

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. - Xin Wang 019; Heng Chang; Beini Xie; Tian Bian; Shiji Zhou; Daixin Wang; Zhiqiang Zhang 012; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2024)

STAR-RIS-Aided Covert Communications in MISO-RSMA Systems. - Heng Chang; Xueyu Kang; Hongjiang Lei; Theodoros A. Tsiftsis; Gaofeng Pan; Hongwu Liu (IEEE Trans. Green Commun. Netw., 2024)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. - Yongliang Wu; Shiji Zhou; Mingzhuo Yang; Lianzhe Wang; Heng Chang; Wenbo Zhu; Xinting Hu; Xiao Zhou; Xu Yang 021 (AAAI, 2025)

ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters. - Xunzhi Xiang; Haiwei Xue; Zonghong Dai; Di Wang; Minglei Li 001; Ye Yue; Fei Ma 006; Weijiang Yu; Heng Chang; Fei Richard Yu (AAAI, 2025)

PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis. - Yifan Xie; Tao Feng; Xin Zhang; Xiangyang Luo; Zixuan Guo; Weijiang Yu; Heng Chang; Fei Ma 006; Fei Richard Yu (AAAI, 2025)

One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments. - Ke Yi 003; Yuhui Xu; Heng Chang; Yuan Meng; Tong Zhang 015; Jia Li 009 (ACL (1), 2025)

From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities. - Shixin Jiang; Jiafeng Liang; Jiyuan Wang; Xuan Dong; Heng Chang; Weijiang Yu; Jinhua Du; Ming Liu 004; Bing Qin 001 (ACL (Findings), 2025)

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism. - Congzhi Zhang; Jiawei Peng; Zhenglin Wang; Yilong Lai; Haowen Sun; Heng Chang; Fei Ma; Weijiang Yu (ACL (1), 2025)

Implanting Robust Watermarks in Latent Diffusion Models for Video Generation. - Xiaohang Liu; Heng Chang; Jinfu Wei; Lei Zhu; Li Liu; Likun Li; Shiji Zhou; Chengyuan Li; Di Xu; Wei Gao 003 (ICASSP, 2025)

Dual-Process Watermarked Diffusion: Integrating Watermarking With Denoising in Point Clouds. - Jinfu Wei; Heng Chang; Xiaohang Liu; Li Liu; Likun Li; Shiji Zhou; Chengyuan Li; Di Xu; Wei Gao 003; Ran Liao (ICASSP, 2025)

DIReCT: Domain-Informed Rectified Flow for Controllable Brain MRI to PET Translation. - Tuo Liu; Haifeng Wang 002; Heng Chang; Fan Wang 023; Chunfeng Lian; Jianhua Ma (IPMI (1), 2025)

Aligning Large Multimodal Model with Sequential Recommendation via Content-Behavior Guidance. - Zihao Wu 005; Xin Wang 019; Heng Chang; Hong Chen 011; Lifeng Sun; Wenwu Zhu 001 (ICMR, 2025)

Heterophilic Graph Neural Networks Optimization with Causal Message-passing. - Botao Wang; Jia Li 009; Heng Chang; Keli Zhang; Fugee Tsung (WSDM, 2025)

Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling. - Heng Chang; Liang Gu; Cheng Hu 002; Zhinan Zhang; Hong Zhu; Yuhui Xu; Yuan Fang; Zhen Chen (WWW (Companion Volume), 2025)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. - Yuhan Li 001; Xinni Zhang; Linhao Luo; Heng Chang; Yuxiang Ren; Irwin King; Jia Li 009 (WWW, 2025)

EvoFlow: Evolving Diverse Agentic Workflows On The Fly. - Guibin Zhang; Kaijie Chen; Guancheng Wan; Heng Chang; Hong Cheng; Kun Wang 056; Shuyue Hu; Lei Bai 001 (CoRR, 2025)

Hgformer: Hyperbolic Graph Transformer for Recommendation. - Xin Yang; Xingrun Li; Heng Chang; Jinze Yang; Xihong Yang; Shengyu Tao; Ningkang Chang; Maiko Shigeno; Junfeng Wang; Dawei Yin; Erxue Min (CoRR, 2025)

Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling. - Heng Chang; Liang Gu; Cheng Hu; Zhinan Zhang; Hong Zhu; Yuhui Xu; Yuan Fang; Zhen Chen (CoRR, 2025)

MuseFace: Text-driven Face Editing via Diffusion-based Mask Generation Approach. - Xin Zhang; Siting Huang; Xiangyang Luo; Yifan Xie; Weijiang Yu; Heng Chang; Fei Ma 006; Fei Yu (CoRR, 2025)

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation. - Yifan Wang; Weinan Gan; Longtao Xiao; Jieming Zhu; Heng Chang; Haozhao Wang; Rui Zhang 003; Zhenhua Dong; Ruiming Tang; Ruixuan Li 001 (CoRR, 2025)

GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. - Chuanyue Yu; Kuo Zhao; Yuhan Li; Heng Chang; Mingjian Feng; Xiangzhe Jiang; Yufei Sun; Jia Li; Yuzhi Zhang; Jianxin Li; Ziwei Zhang (CoRR, 2025)