Qiong Chang - RankMe

53 papers A* 1A 1B 1C 2Misc 4Journal 26Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	3D GNLM: Efficient 3D Non-Local Means Kernel with Nested Reuse Strategies for Embedded GPUs. ACM Trans. Archit. Code Optim. Xiang Li, Qiong Chang, Yun Li, Jun Miyazaki
2025	J	`jnl`	3D-NLM: Voxel-based non-local means for 3D point cloud noise detection and smoothing. Comput. Graph. Weimin Wang, Xin Tan, Liang Li, Yu Liu, Qiong Chang
2025	J	`jnl`	A dynamic memory assignment strategy for dilation-based ICP algorithm on embedded GPUs. CoRR Qiong Chang, Weimin Wang, Junpei Zhong, Jun Miyazaki
2025	J	`jnl`	Accelerating Nearest Neighbor Search in 3D Point Cloud Registration on GPUs. ACM Trans. Archit. Code Optim. Qiong Chang, Weimin Wang, Jun Miyazaki
2025	—	`conf`	Deep Dual Internal Learning for Hyperspectral Image Super-Resolution. MMM (1) Yongqing Sun, Hong Liu, Qiong Chang, Xianhua Han
2025	J	`jnl`	Direction-aware convolutional autoencoder based on positional encoding for one-dimensional anomaly detection. Inf. Sci. Qien Yu, Qiong Chang, Tinghui Ouyang, Takio Kurita, Ran Dong
2025	—	`conf`	Efficient Parallel Implementation of Non-Local Means Algorithm on GPU. GPGPU@PPoPP Xiang Li, Qiong Chang, Yun Li, Jun Miyazaki
2025	C	`conf`	Fast Approximate Aggregation with Error Guarantee Using Encoded Bit-Slice Indexing. iiWAS Kakeru Ito, Ryogo Maeda, Qiong Chang, Jun Miyazaki
2025	J	`jnl`	Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs. CoRR Qiong Chang, Xinyuan Chen, Xiang Li, Weimin Wang, Jun Miyazaki
2025	J	`jnl`	Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs. ACM Trans. Embed. Comput. Syst. Qiong Chang, Xinyuan Chen, Xiang Li, Weimin Wang, Jun Miyazaki
2025	J	`jnl`	GRNND: A GPU-Parallel Relative NN-Descent Algorithm for Efficient Approximate Nearest Neighbor Graph Construction. CoRR Xiang Li, Qiong Chang, Yun Li, Jun Miyazaki
2025	—	`conf`	Unified Schema-Driven Graph Polystore: Achieving Transparency in Multi-model Integration and Migration. DEXA (2) Fumihiro Yamashita, Qiong Chang, Jun Miyazaki
2024	—	`conf`	$k$-Way In-Place Merge by CPU-GPU Cooperative Processing. ASAP Shinya Miura, Qiong Chang, Jun Miyazaki
2024	—	`conf`	A Data Model of a Data Lineage Management System for Database Repair and Simulation. iiWAS (2) Wei Jun Wong, Kyoko Yasuda, Qiong Chang, Jun Miyazaki
2024	—	`conf`	Acceleration of Neural Network Inference for Embedded GPU Systems. BigComp Kei Terakura, Qiong Chang, Jun Miyazaki
2024	J	`jnl`	An Optimized GPU Implementation for GIST Descriptor. ACM Trans. Archit. Code Optim. Xiang Li, Qiong Chang, Aolong Zha, Shijie Chang, Yun Li, Jun Miyazaki
2024	Misc	`conf`	Attribution-Based Scanline Perturbation Attack on 3d Detectors of Lidar Point Clouds. ICASSP Ziyang Yu, Ting Yang, Qiong Chang, Yu Liu, Weimin Wang
2024	—	`conf`	Extension of Parallel Primitives and Their Applications to Large-Scale Data Processing. DEXA (2) Masashi Nakano, Qiong Chang, Jun Miyazaki
2024	J	`jnl`	TinyStereo: A Tiny Coarse-to-Fine Framework for Vision-Based Depth Estimation on Embedded GPUs. IEEE Trans. Syst. Man Cybern. Syst. Qiong Chang, Xin Xu, Aolong Zha, Meng Joo Er, Yongqing Sun, Yun Li
2023	—	`conf`	A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes. ICCS (3) Aolong Zha, Qiong Chang, Naoto Imura, Katsuhiro Nishinari
2023	J	`jnl`	A deep learning framework for realistic robot motion generation. Neural Comput. Appl. Ran Dong, Qiong Chang, Soichiro Ikuno
2023	J	`jnl`	An incremental SAT-based approach for solving the real-time taxi-sharing service problem. Discret. Appl. Math. Aolong Zha, Qiong Chang, Itsuki Noda
2023	Misc	`conf`	Automatic Extraction of Effective Relations in Knowledge Graph for a Recommendation Explanation System. SAC Shi-Jun Luo, Hyoil Han, Qiong Chang, Jun Miyazaki
2023	J	`jnl`	DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds. Int. J. Appl. Earth Obs. Geoinformation Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023	J	`jnl`	Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation. Neurocomputing Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023	—	`conf`	Enhancing Lidar and Radar Fusion for Vehicle Detection in Adverse Weather via Cross-Modality Semantic Consistency. PRCV (3) Yu Du, Ting Yang, Qiong Chang, Wei Zhong, Weimin Wang
2023	—	`conf`	GPU Acceleration of Multi-Object Tracking with Motion Vector Interpolation and Affine Transformation. ASAP Yoshiki Kunimoto, Qiong Chang, Yoshiki Yamaguchi, Tsutomu Maruyama
2023	—	`conf`	How Does the System Perceive Me? - A Transparent and Tunable Recommender System. DEXA (2) Mingman Xu, Qiong Chang, Jun Miyazaki
2023	J	`jnl`	Multi-directional Sobel operator kernel on GPUs. CoRR Qiong Chang, Xin Li, Yun Li, Jun Miyazaki
2023	J	`jnl`	Multi-directional Sobel operator kernel on GPUs. J. Parallel Distributed Comput. Qiong Chang, Xiang Li, Yun Li, Jun Miyazaki
2023	—	`conf`	Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling. MMM (1) Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023	A*	`conf`	StereoVAE: A lightweight stereo-matching system using embedded GPUs. ICRA Qiong Chang, Xiang Li, Xin Xu, Xin Liu, Yun Li, Jun Miyazaki
2023	Misc	`conf`	VAN-ICP: GPU-Accelerated Approximate Nearest Neighbor Search for ICP Registration via Voxel Dilation. ICASSP Weimin Wang, Qiong Chang
2022	J	`jnl`	A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes. CoRR Aolong Zha, Qiong Chang, Naoto Imura, Katsuhiro Nishinari
2022	—	`conf`	Acceleration of video stabilization using embedded GPU. ASAP Yuzuki Mimura, Qiong Chang, Tsutomu Maruyama
2022	J	`jnl`	Efficient stereo matching on embedded GPUs with zero-means cross correlation. CoRR Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama
2022	J	`jnl`	Efficient stereo matching on embedded GPUs with zero-means cross correlation. J. Syst. Archit. Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama
2022	J	`jnl`	Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding. CoRR Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	J	`jnl`	Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. CoRR Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	J	`jnl`	Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution. CoRR Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	J	`jnl`	Fast convolution kernels on pascal GPU with high memory efficiency. CoRR Qiong Chang, Masaki Onishi, Tsutomu Maruyama
2022	J	`jnl`	Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation. CoRR Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	—	`conf`	Jointly Learning Propagating Features on the Knowledge Graph for Movie Recommendation. DEXA (1) Yun Liu, Jun Miyazaki, Qiong Chang
2022	Misc	`conf`	Knowledge graph enhanced multi-task learning between reviews and ratings for movie recommendation. SAC Yun Liu, Jun Miyazaki, Qiong Chang
2022	J	`jnl`	Real-Time High-Quality Stereo Matching System on a GPU. CoRR Qiong Chang, Tsutomu Maruyama
2021	A	`conf`	Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. BMVC Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2021	—	`conf`	Fast SQL/Row Pattern Recognition Query Processing Using Parallel Primitives on GPUs. DEXA (1) Tsubasa Ohara, Qiong Chang, Jun Miyazaki
2021	—	`conf`	Motion Feature Extraction and Stylization for Character Animation using Hilbert-Huang Transform. ICEA Ran Dong, Yangfei Lin, Qiong Chang, Junpei Zhong, Dongsheng Cai, Soichiro Ikuno
2020	B	`conf`	CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem. ICTAI Aolong Zha, Rongxuan Gao, Qiong Chang, Miyuki Koshimura, Itsuki Noda
2020	C	`conf`	Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU. ICCD Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Tsutomu Maruyama
2018	—	`conf`	Fast convolution kernels on pascal GPU with high memory efficiency. SpringSim (HPC) Qiong Chang, Masaki Onishi, Tsutomu Maruyama
2018	—	`conf`	Real-Time High-Quality Stereo Matching System on a GPU. ASAP Qiong Chang, Tsutomu Maruyama
2018	J	`jnl`	Real-Time Stereo Vision System: A Multi-Block Matching on GPU. IEEE Access Qiong Chang, Tsutomu Maruyama

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.