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Chang, Heng
16 publications
NeurIPS
2025
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Shiji Zhou
,
Tianbai Yu
,
Zhi Zhang
,
Heng Chang
,
Xiao Zhou
,
Dong Wu
,
Han Zhao
ICML
2025
Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
Xin Yang
,
Xingrun Li
,
Heng Chang
,
Yang Jinze
,
Xihong Yang
,
Shengyu Tao
,
Maiko Shigeno
,
Ningkang Chang
,
Junfeng Wang
,
Dawei Yin
,
Erxue Min
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
,
Fei Richard Yu
AAAI
2025
ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters
Xunzhi Xiang
,
Haiwei Xue
,
Zonghong Dai
,
Di Wang
,
Minglei Li
,
Ye Yue
,
Fei Ma
,
Weijiang Yu
,
Heng Chang
,
Fei Richard Yu
AAAI
2025
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
ICLR
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
CVPR
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
CVPR
2023
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level
Lianzhe Wang
,
Shiji Zhou
,
Shanghang Zhang
,
Xu Chu
,
Heng Chang
,
Wenwu Zhu
ICCV
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
AISTATS
2022
Online Continual Adaptation with Active Self-Training
Shiji Zhou
,
Han Zhao
,
Shanghang Zhang
,
Lianzhe Wang
,
Heng Chang
,
Zhi Wang
,
Wenwu Zhu
ICLRW
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
NeurIPS
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
AAAI
2021
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin
,
Heng Chang
,
Wenwu Zhu
,
Somayeh Sojoudi
AAAI
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
NeurIPS
2020
Implicit Graph Neural Networks
Fangda Gu
,
Heng Chang
,
Wenwu Zhu
,
Somayeh Sojoudi
,
Laurent El Ghaoui
AAAI
2020
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data
Jun Guo
,
Heng Chang
,
Wenwu Zhu