Weizhong Zhang

142 papers A* 40A 4B 2C 2Misc 1Journal 81Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Advanced Black-Box Tuning of Large Language Models with Limited API Calls. AAAI Zhikang Xie, Weilin Wan, Peizhu Gong, Weizhong Zhang, Cheng Jin
2026	J	`jnl`	AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning. CoRR Changhai Zhou, Shiyang Zhang, Yuhua Zhou, Qian Qiao, Jun Gao, Cheng Jin, Kaizhou Qin, Weizhong Zhang
2026	J	`jnl`	End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture. Frontiers Neurorobotics Yuwen Zhou, Weizhong Zhang
2026	A*	`conf`	Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training. AAAI Weilin Wan, Fan Yi, Weizhong Zhang, Quan Zhou, Cheng Jin
2026	J	`jnl`	Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization. CoRR Weilin Wan, Jingtao Han, Weizhong Zhang, Cheng Jin
2026	A*	`conf`	Investigating Data Pruning for Pretraining Biological Foundation Models at Scale. AAAI Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou, Yitao Xu, Jiayang Chen, He Hu, Weizhong Zhang, Cheng Jin, Jiao Yuan, Yu Li
2026	J	`jnl`	Timestep-Aware Block Masking for Efficient Diffusion Model Inference. CoRR Haodong He, Yuan Gao, Weizhong Zhang, Gui-Song Xia
2026	J	`jnl`	Why Users Reject AI Counselors? The Mediating Role of Trust and Perceived Self-Correction Ability in Imperfect Experiences. Int. J. Hum. Comput. Interact. Weizhong Zhang, Rong Lian
2025	A*	`conf`	Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching. AAAI Zhao Zhou, Yiqun Wang, Weizhong Zhang, Yingbin Zheng, Xiangcheng Du, Cheng Jin
2025	J	`jnl`	Advanced Black-Box Tuning of Large Language Models with Limited API Calls. CoRR Zhikang Xie, Weilin Wan, Peizhu Gong, Weizhong Zhang, Cheng Jin
2025	—	`conf`	Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient. ACL (1) Yuan Gao, Zujing Liu, Weizhong Zhang, Bo Du, Gui-Song Xia
2025	J	`jnl`	Computational Budget Should Be Considered in Data Selection. CoRR Weilin Wan, Weizhong Zhang, Cheng Jin
2025	—	`conf`	DocFEAt: A Lightweight Model with Hybrid Feature Engineering and Dynamic Attention for Document Dewarping. ADMA (3) Weizhong Zhang, Yingshan Shen, Sizhu Wang, Qi Chen, Junhui Deng, Jiahao Feng
2025	A*	`conf`	DreamText: High Fidelity Scene Text Synthesis. CVPR Yibin Wang, Weizhong Zhang, Honghui Xu, Cheng Jin
2025	—	`conf`	ECSR-Net: An Efficient Classroom Speech Recognition Network Based on Convolutional Neural Networks with Mixup Attention. BDICN Xiaofeng Yuan, Sizhu Wang, Qi Chen, Weizhong Zhang, Yingshan Shen
2025	J	`jnl`	Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth. CoRR Changhai Zhou, Yuhua Zhou, Qian Qiao, Weizhong Zhang, Cheng Jin
2025	A*	`conf`	Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning. AAAI Zhao Zhou, Weizhong Zhang, Xiangcheng Du, Yingbin Zheng, Cheng Jin
2025	J	`jnl`	Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training. CoRR Weilin Wan, Fan Yi, Weizhong Zhang, Quan Zhou, Cheng Jin
2025	J	`jnl`	How to Sell High-Dimensional Data Optimally. CoRR Andrew Li, R. Ravi, Karan Singh, Zihong Yi, Weizhong Zhang
2025	J	`jnl`	Investigating Data Pruning for Pretraining Biological Foundation Models at Scale. CoRR Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou, Yitao Xu, Jiayang Chen, He Hu, Weizhong Zhang, Cheng Jin, Jiao Yuan, Yu Li
2025	J	`jnl`	Language-Driven Zero-Shot Object Navigation via Dynamic Probabilistic Strategy and Large Language Models. IEEE Access Weizhong Zhang, Jun Zhang
2025	J	`jnl`	Large Language Model Compression with Global Rank and Sparsity Optimization. CoRR Changhai Zhou, Qian Qiao, Weizhong Zhang, Cheng Jin
2025	A*	`conf`	Optimized Gradient Clipping for Noisy Label Learning. AAAI Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin
2025	A*	`conf`	Population Normalization for Federated Learning. CVPR Zhuoyao Wang, Fan Yi, Peizhu Gong, Caitou He, Cheng Jin, Weizhong Zhang
2025	J	`jnl`	Sampling Complexity of TD and PPO in RKHS. CoRR Lu Zou, Wendi Ren, Weizhong Zhang, Liang Ding, Shuang Li
2025	—	`conf`	TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data. NAACL (Findings) Jipeng Zhang, Yaxuan Qin, Renjie Pi, Weizhong Zhang, Rui Pan, Tong Zhang
2025	A*	`conf`	Towards Robust Influence Functions with Flat Validation Minima. ICML Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen
2025	J	`jnl`	Towards Robust Influence Functions with Flat Validation Minima. CoRR Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen
2024	J	`jnl`	Active Negative Loss: A Robust Framework for Learning with Noisy Labels. CoRR Xichen Ye, Yifan Wu, Yiwen Xu, Xiaoqiang Li, Weizhong Zhang, Yifan Chen
2024	A*	`conf`	Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. ICLR Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma
2024	J	`jnl`	Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. CoRR Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma
2024	—	`conf`	Contention Resolution for the SOSA Chandra Chekuri, Junkai Song, Weizhong Zhang
2024	A	`conf`	ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation. ICME Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin
2024	J	`jnl`	ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation. CoRR Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin
2024	A*	`conf`	Efficient Denoising Diffusion via Probabilistic Masking. ICML Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen
2024	A*	`conf`	FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation. AAAI Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin
2024	A*	`conf`	Future Motion Dynamic Modeling via Hybrid Supervision for Multi-Person Motion Prediction Uncertainty Reduction. ACM Multimedia Yan Zhuang, Yanlu Cai, Weizhong Zhang, Cheng Jin
2024	J	`jnl`	High Fidelity Scene Text Synthesis. CoRR Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
2024	A*	`conf`	High-fidelity Person-centric Subject-to-Image Synthesis. CVPR Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
2024	A*	`conf`	Low Precision Local Training is Enough for Federated Learning. NeurIPS Zhiwei Li, Yiqiu Li, Binbin Lin, Zhongming Jin, Weizhong Zhang
2024	J	`jnl`	MagicFace: Training-free Universal-Style Human Image Customized Synthesis. CoRR Yibin Wang, Weizhong Zhang, Cheng Jin
2024	J	`jnl`	Optimization-based Structural Pruning for Large Language Models without Back-Propagation. CoRR Yuan Gao, Zujing Liu, Weizhong Zhang, Bo Du, Gui-Song Xia
2024	J	`jnl`	Optimized Gradient Clipping for Noisy Label Learning. CoRR Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin
2024	J	`jnl`	Out-of-Distribution Detection using Neural Activation Prior. CoRR Weilin Wan, Weizhong Zhang, Cheng Jin
2024	A*	`conf`	Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection. AAAI Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin
2024	A*	`conf`	PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization. CVPR Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin
2024	A*	`conf`	PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering. ACM Multimedia Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
2024	J	`jnl`	PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering. CoRR Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
2024	J	`jnl`	Revisiting Energy-Based Model for Out-of-Distribution Detection. CoRR Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen
2024	J	`jnl`	Robust Fine-tuning for Pre-trained 3D Point Cloud Models. CoRR Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin
2024	A*	`conf`	Spurious Feature Diversification Improves Out-of-distribution Generalization. ICLR Yong Lin, Lu Tan, Yifan Hao, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang
2024	J	`jnl`	TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data. CoRR Jipeng Zhang, Yaxuan Qin, Renjie Pi, Weizhong Zhang, Rui Pan, Tong Zhang
2023	A*	`conf`	A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond. ICLR Yong Lin, Renjie Pi, Weizhong Zhang, Xiaobo Xia, Jiahui Gao, Xiao Zhou, Tongliang Liu, Bo Han
2023	J	`jnl`	A real-time deformable cutting method using two levels of linked voxels for improved decoupling between collision and rendering. Vis. Comput. Shiyu Jia, Weizhong Zhang, Guodong Wang, Zhenkuan Pan, Xiaokang Yu
2023	A*	`conf`	Approximation Algorithms for Steiner Tree Augmentation Problems. SODA R. Ravi, Weizhong Zhang, Michael Zlatin
2023	A*	`conf`	Consistency-aware Feature Learning for Hierarchical Fine-grained Visual Classification. ACM Multimedia Rui Wang, Cong Zou, Weizhong Zhang, Zixuan Zhu, Lihua Jing
2023	A*	`conf`	DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
2023	A*	`conf`	DynaMS: Dyanmic Margin Selection for Efficient Deep Learning. ICLR Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan
2023	J	`jnl`	Enhancing Object Coherence in Layout-to-Image Synthesis. CoRR Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
2023	J	`jnl`	Fast Adversarial Training With Adaptive Step Size. IEEE Trans. Image Process. Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang
2023	J	`jnl`	High-fidelity Person-centric Subject-to-Image Synthesis. CoRR Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
2023	J	`jnl`	Model Agnostic Sample Reweighting for Out-of-Distribution Learning. CoRR Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
2023	J	`jnl`	Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection. CoRR Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin
2023	A	`conf`	Pose-Motion Video Anomaly Detection via Memory-Augmented Reconstruction and Conditional Variational Prediction. ICME Weilin Wan, Weizhong Zhang, Cheng Jin
2023	J	`jnl`	Probabilistic Bilevel Coreset Selection. CoRR Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Tong Zhang
2023	A*	`conf`	Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. ICLR Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
2023	J	`jnl`	Spurious Feature Diversification Improves Out-of-distribution Generalization. CoRR Yong Lin, Lu Tan, Yifan Hao, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang
2023	J	`jnl`	Test-Time Compensated Representation Learning for Extreme Traffic Forecasting. CoRR Zhiwei Zhang, Weizhong Zhang, Yaowei Huang, Kani Chen
2022	—	`conf`	Acoustical Analysis on English Sibilant Fricative /s, ʃ/ Produced by Native Chinese Speakers. IALP Yuhong Sun, Jian Gong, Kai Sheng, Weizhong Zhang, William Bellamy, Xiaoli Ji
2022	J	`jnl`	Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network. Knowl. Based Syst. Tingting Liang, Lin Ma, Weizhong Zhang, Haoran Xu, Congying Xia, Yuyu Yin
2022	J	`jnl`	Convex Formulation of Overparameterized Deep Neural Networks. IEEE Trans. Inf. Theory Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang
2022	J	`jnl`	DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CoRR Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
2022	J	`jnl`	Fast Adversarial Training with Adaptive Step Size. CoRR Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang
2022	A	`conf`	Finding Dynamics Preserving Adversarial Winning Tickets. AISTATS Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang
2022	J	`jnl`	Finding Dynamics Preserving Adversarial Winning Tickets. CoRR Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang
2022	A*	`conf`	Model Agnostic Sample Reweighting for Out-of-Distribution Learning. ICML Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
2022	J	`jnl`	New and improved approximation algorithms for Steiner Tree Augmentation Problems. CoRR R. Ravi, Weizhong Zhang, Michael Zlatin
2022	J	`jnl`	Normalizing Flow with Variational Latent Representation. CoRR Hanze Dong, Shizhe Diao, Weizhong Zhang, Tong Zhang
2022	A*	`conf`	Probabilistic Bilevel Coreset Selection. ICML Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang
2022	J	`jnl`	Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim
2022	J	`jnl`	Simultaneous Electrochemical Sensing of Indole-3-Acetic Acid and Salicylic Acid on Poly(L-Proline) Nanoparticles-Carbon Dots-Multiwalled Carbon Nanotubes Composite-Modified Electrode. Sensors Mengxue Li, Yiwen Kuang, Ziyan Fan, Xiaoli Qin, Shiyu Hu, Zhanning Liang, Qilin Liu, Weizhong Zhang, Birui Wang, Zhaohong Su
2022	A*	`conf`	Sparse Invariant Risk Minimization. ICML Xiao Zhou, Yong Lin, Weizhong Zhang, Tong Zhang
2022	—	`conf`	The Effect of Acoustic Features on Chinese EFL Learners' Perception of English Accentual Prominence. O-COCOSDA 2022 Weizhong Zhang, Jian Gong, Xiaoli Ji, Yuhong Sun, Kai Sheng
2021	J	`jnl`	A Structure Feature Algorithm for Multi-modal Forearm Registration. CoRR Jiaxin Li, Yan Ding, Weizhong Zhang, Yifan Zhao, Lingxi Guo, Zhe Yang
2021	A*	`conf`	Effective Sparsification of Neural Networks With Global Sparsity Constraint. CVPR Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang
2021	J	`jnl`	Effective Sparsification of Neural Networks with Global Sparsity Constraint. CoRR Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang
2021	A*	`conf`	Efficient Neural Network Training via Forward and Backward Propagation Sparsification. NeurIPS Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang
2021	J	`jnl`	Efficient Neural Network Training via Forward and Backward Propagation Sparsification. CoRR Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang
2021	—	`conf`	Gender Differences in the Production of Sibilant Contrast by Native Chinese Speakers. IALP Kai Sheng, Jian Gong, Yuhong Sun, Weizhong Zhang, William Bellamy, Xiaoli Ji
2021	J	`jnl`	Identifying cancer specific signaling pathways based on the dysregulation between genes. Comput. Biol. Chem. Xiaohan Li, Bing Zhang, Kequan Yu, Zhenshen Bao, Weizhong Zhang, Yunfei Bai
2021	J	`jnl`	Safe Screening for Sparse Conditional Random Fields. CoRR Weizhong Zhang, Shuang Qiu
2020	J	`jnl`	An Integrated Two-Pose Calibration Method for Estimating Head-Eye Parameters of a Robotic Bionic Eye. IEEE Trans. Instrum. Meas. Xiaopeng Chen, Changjin Wang, Weizhong Zhang, Kunyan Lan, Qiang Huang
2020	J	`jnl`	Fuzzy mathematics and machine learning algorithms application in educational quality evaluation model. J. Intell. Fuzzy Syst. Jian Wang, Weizhong Zhang
2020	A*	`conf`	Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. AAAI Wei Chen, Weizhong Zhang, Haoyu Zhao
2020	A*	`conf`	How to Characterize The Landscape of Overparameterized Convolutional Neural Networks. NeurIPS Yihong Gu, Weizhong Zhang, Cong Fang, Jason D. Lee, Tong Zhang
2020	J	`jnl`	Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion. IEEE Trans. Image Process. Chenglizhao Chen, Jipeng Wei, Chong Peng, Weizhong Zhang, Hong Qin
2020	J	`jnl`	Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning. CoRR Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu
2020	J	`jnl`	Using pseudo voxel octree to accelerate collision between cutting tool and deformable objects modeled as linked voxels. Vis. Comput. Shiyu Jia, Weizhong Zhang, Zhenkuan Panaleki, Guodong Wang, Xiaokang Yu
2019	A*	`conf`	A Sufficient Condition for Convergences of Adam and RMSProp. CVPR Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu
2019	—	`conf`	Channel States Information Based Energy Detection Algorithm in Dual Satellite Systems. WISATS (2) Weizhong Zhang, Mingchuan Yang, Wenqiu Wei, Qing Guo
2019	J	`jnl`	Convex Formulation of Overparameterized Deep Neural Networks. CoRR Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang
2019	J	`jnl`	Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. CoRR Wei Chen, Weizhong Zhang, Haoyu Zhao
2019	—	`conf`	Power Allocation Scheme for Decode-and-Forward Cooperative Communications in Rician Fading Channels. WISATS (2) Wenqiu Wei, Weizhong Zhang, Mingchuan Yang
2019	J	`jnl`	Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. J. Mach. Learn. Res. Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2018	J	`jnl`	A Sufficient Condition for Convergences of Adam and RMSProp. CoRR Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu
2018	J	`jnl`	CPU-GPU Parallel Framework for Real-Time Interactive Cutting of Adaptive Octree-Based Deformable Objects. Comput. Graph. Forum Shiyu Jia, Weizhong Zhang, Xiaokang Yu, Zhenkuan Pan
2018	J	`jnl`	Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction. CoRR Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du
2018	J	`jnl`	Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks. IEEE Trans. Knowl. Data Eng. Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2018	A*	`conf`	Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning. NeurIPS Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu
2018	A*	`conf`	Safe Element Screening for Submodular Function Minimization. ICML Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang
2018	J	`jnl`	Safe Element Screening for Submodular Function Minimization. CoRR Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang
2017	A*	`conf`	Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. KDD Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang
2017	A*	`conf`	Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. ICML Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2017	J	`jnl`	Sparse Learning with Stochastic Composite Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Weizhong Zhang, Lijun Zhang, Zhongming Jin, Rong Jin, Deng Cai, Xuelong Li, Ronghua Liang, Xiaofei He
2017	J	`jnl`	Stable Real-Time Surgical Cutting Simulation of Deformable Objects Embedded with Arbitrary Triangular Meshes. J. Comput. Sci. Technol. Shiyu Jia, Zhenkuan Pan, Guodong Wang, Weizhong Zhang, Xiaokang Yu
2016	A*	`conf`	Accelerated Sparse Linear Regression via Random Projection. AAAI Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He
2016	J	`jnl`	Retinex theory based active contour model for segmentation of inhomogeneous images. Digit. Signal Process. Guodong Wang, Qian Dong, Zhenkuan Pan, Weizhong Zhang, Jinming Duan, Li Bai, Jinpeng Zhang
2016	J	`jnl`	Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction. CoRR Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2015	J	`jnl`	CPU-GPU mixed implementation of virtual node method for real-time interactive cutting of deformable objects using OpenCL. Int. J. Comput. Assist. Radiol. Surg. Shiyu Jia, Weizhong Zhang, Xiaokang Yu, Zhenkuan Pan
2015	J	`jnl`	Computation of point inversion and ray-surface intersection through tracing along the base surface. Vis. Comput. Xiaoping Wang, Weizhong Zhang, Xiang Huang
2015	J	`jnl`	基于边缘先验模型的运动去模糊 (Motion Deblurring Based on Edge Prior Model). 计算机科学 Zhigang Zhao, Yingying Chen, Yi Zhao, Weizhong Zhang, Huixian Lv, Zhenkuan Pan
2015	J	`jnl`	融合水平梯度与局部信息强度的掌纹识别算法 (Palmprint Recognition Algorithm of Integrating Horizontal Gradient and Local Information Intensity). 计算机科学 Zhigang Zhao, Xin Wu, Weizhong Zhang, Yi Zhao, Danfeng Hong, Zhenkuan Pan
2014	J	`jnl`	Robust reconstruction of 2D curves from scattered noisy point data. Comput. Aided Des. Jun Wang, Zeyun Yu, Weizhong Zhang, Mingqiang Wei, Changbai Tan, Ning Dai, Xi Zhang
2014	A*	`conf`	Sparse Learning for Stochastic Composite Optimization. AAAI Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He
2013	—	`conf`	Active contour model coupling with backward diffusion for medical image segmentation. BMEI Guodong Wang, Zhenkuan Pan, Weizhong Zhang, Qian Dong
2013	J	`jnl`	Ontology-Based Semantic Verification for UML Behavioral Models. Int. J. Softw. Eng. Knowl. Eng. Hongyue He, Zhixue Wang, Qingchao Dong, Weizhong Zhang, Weixing Zhu
2013	Misc	`conf`	Optimal trajectory planning for a quadrotor via a Gauss Pseudo-spectrum Method. ICNC Dan Wang, Weizhong Zhang, Jiayuan Shan
2012	—	`conf`	An Approach to Curve Reconstruction from Multiple Images. ICDMA Weizhong Zhang, Chi Zhang, Zhenkuan Pan, Guanglei Wang
2012	J	`jnl`	An Ontology-Based Framework of Requirements Evolvement Management. J. Softw. Hongyue He, Zhixue Wang, Ying Zhang, Weizhong Zhang
2012	B	`conf`	Development of 'Intelligent Pioneer' unmanned vehicle. Intelligent Vehicles Symposium Tao Mei, Huawei Liang, Bin Kong, Jing Yang, Hui Zhu, Bichun Li, Jiajia Chen, Pan Zhao, Tiejuan Xu, Xiang Tao, Weizhong Zhang, Yan Song, Hu Wei, Jun Wang
2012	J	`jnl`	Generating Executable Capability Models for Requirements Validation. J. Softw. Weizhong Zhang, Zhixue Wang, Wen Zhao, Yingying Yang, Xin Xin
2010	B	`conf`	A tutorial for applying DMOC to solve optimization control problems. SMC Weizhong Zhang, Tamer Inanc
2010	J	`jnl`	An Autonomous Mobile Robotics Testbed: Construction, Validation, and Experiments. IEEE Trans. Control. Syst. Technol. Travis A. Riggs, Tamer Inanc, Weizhong Zhang
2010	J	`jnl`	Constructing Int. J. Comput. Math. Xiaoping Wang, Weizhong Zhang, Laishui Zhou, Liyan Zhang
2010	A	`conf`	Energy efficient trajectory generation for a state-space based JPL Aerobot. IROS Weizhong Zhang, Tamer Inanc, Alberto Elfes
2010	C	`conf`	Opportunistic 3D trajectory generation for the JPL Aerobot with Nonlinear Trajectory Generation methodology. ICARCV Weizhong Zhang, Tamer Inanc, Alberto Elfes
2010	J	`jnl`	Projecting curves onto free-form surfaces. Int. J. Comput. Appl. Technol. Xiaoping Wang, Wei Wei, Weizhong Zhang
2008	C	`conf`	DMOC approach of real-time trajectory generation for mechanical systems. ICARCV Weizhong Zhang, Tamer Inanc, Jerrold E. Marsden
2008	A*	`conf`	Optimal trajectory generation for a glider in time-varying 2D ocean flows B-spline model. ICRA Weizhong Zhang, Tamer Inanc, Sina Ober-Blöbaum, Jerrold E. Marsden
2007	J	`jnl`	Intersection of a ruled surface with a free-form surface. Numer. Algorithms Xiaoping Wang, Weizhong Zhang, Liyan Zhang
2007	J	`jnl`	Intersection of a ruled surface with a free-form surface. Numer. Algorithms Xiaoping Wang, Weizhong Zhang, Liyan Zhang
2000	J	`jnl`	Pre-Spirits Implementations of PSTN-initiated Services. RFC Hui-Lan Lu, Igor Faynberg, John Voelker, Mark Weissman, Weizhong Zhang, Sung-Yurn Rhim, Jinkyung Hwang, Shinji Ago, S. Moeenuddin, S. Hadvani, Soren Nyckelgard, John Yoakum, Lewis Robart