Individual game information evaluation using signal processing measurement. - Shuo Xiong; Long Zuo; Zeliang Zhang; Hiroyuki Iida (ICSAI, 2017)

E-learning Rhythm Design: Case Study Using Fighting Games. - Shuo Xiong; Long Zuo; Zeliang Zhang; Shuo Zhang; Hiroyuki Iida (Edutainment, 2018)

Fast Linear Attitude Estimation and Angular Rate Genseration. - Zeliang Zhang; Zebo Zhou; Jin Wu 002; Shuang Du; Hassen Fourati (IPIN, 2018)

Analysis of Boardgames using Eye-tracking: Case Study with Gomoku. - Xiaohan Kang; Zeliang Zhang; Anggina Primanita; Mohd Nor Akmal Khalid; Hiroyuki Iida; Bing Han (TAAI, 2019)

A Review on Conductive Common-Mode EMI Suppression Methods in Inverter Fed Motor Drives. - Zeliang Zhang; Yihua Hu 004; Xiao Chen; Geraint Wyn Jewell; Hong Li 002 (IEEE Access, 2021)

Noise Optimization for Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Yijie Peng (CoRR, 2021)

MMORPG Evolution Analysis from Explorer and Achiever Perspectives: A Case Study Using the Final Fantasy Series. - Haolan Wang; Zeliang Zhang; Mohd Nor Akmal Khalid; Hiroyuki Iida; Keqiu Li (Inf., 2021)

Bridging Ride and Play Comfort. - Zeliang Zhang; Xiaohan Kang; Mohd Nor Akmal Khalid; Hiroyuki Iida (Inf., 2021)

Noise Optimization in Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Jinyang Jiang 001; Yijie Peng (CASE, 2022)

Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack. - Xiaosen Wang; Zeliang Zhang; Kangheng Tong; Dihong Gong; Kun He 001; Zhifeng Li 001; Wei Liu 005 (ECCV (5), 2022)

Implications of Jerk's On the Measure of Game's Entertainment: Discovering Potentially Addictive Games. - Naying Gao; Hengyuan Chang; Zeliang Zhang; Mohd Nor Akmal Khalid; Hiroyuki Iida (IEEE Access, 2022)

Action Games Evolution Analysis: A Case Study Using the God of War Series. - Zeliang Zhang; Naying Gao; Siqi Li; Mohd Nor Akmal Khalid; Hiroyuki Iida (IEEE Access, 2022)

How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies. - Edward Small; Wei Shao 006; Zeliang Zhang; Peihan Liu; Jeffrey Chan; Kacper Sokol; Flora D. Salim (CoRR, 2022)

Sensing with Femtosecond Laser Filamentation. - Pengfei Qi; Wenqi Qian; Lanjun Guo; Jiayun Xue; Nan Zhang; Yuezheng Wang; Zhi Zhang; Zeliang Zhang; Lie Lin; Changlin Sun; Liguo Zhu; Weiwei Liu (Sensors, 2022)

Diversifying the High-level Features for better Adversarial Transferability. - Zhiyuan Wang; Zeliang Zhang; Siyuan Liang; Xiaosen Wang (BMVC, 2023)

Structure Invariant Transformation for better Adversarial Transferability. - Xiaosen Wang; Zeliang Zhang; Jianping Zhang 002 (ICCV, 2023)

An Improved Current Prediction Model for PMSM Drives Under Single Open-Phase Fault Considering Floating Motor Neutral. - Zeliang Zhang; Mohammed Alkahtani; Yihua Hu 004; Chao Gong 001; Yuxuan Du; Guangzhao Luo (IECON, 2023)

Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark. - Xiao-Yang Liu; Zeliang Zhang (NeurIPS, 2023)

Improving Adversarial Transferability with Scheduled Step Size and Dual Example. - Zeliang Zhang; Peihan Liu; Xiaosen Wang; Chenliang Xu (CoRR, 2023)

A Novel Noise Injection-based Training Scheme for Better Model Robustness. - Zeliang Zhang; Jinyang Jiang 001; Minjie Chen; Zhiyuan Wang; Yijie Peng; Zhaofei Yu (CoRR, 2023)

Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method. - Jinyang Jiang 001; Zeliang Zhang; Chenliang Xu; Zhaofei Yu; Yijie Peng (CoRR, 2023)

Structure Invariant Transformation for better Adversarial Transferability. - Xiaosen Wang; Zeliang Zhang; Jianping Zhang (CoRR, 2023)

Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores. - Zeliang Zhang; Zhuo Liu; Susan Liang; Zhiyuan Wang; Yifan Zhu 003; Chen Ding 001; Chenliang Xu (CoRR, 2023)

Video Understanding with Large Language Models: A Survey. - Yunlong Tang 002; Jing Bi 002; Siting Xu; Luchuan Song; Susan Liang; Teng Wang; Daoan Zhang; Jie An 002; Jingyang Lin; Rongyi Zhu; Ali Vosoughi; Chao Huang 008; et al. (CoRR, 2023)

High-Performance Tensor Learning Primitives Using GPU Tensor Cores. - Xiao-Yang Liu; Zeliang Zhang; Zhiyuan Wang; Han Lu; Xiaodong Wang 001; Anwar Walid (IEEE Trans. Computers, 2023)

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers. - Zeliang Zhang; Mingqian Feng; Zhiheng Li 002; Chenliang Xu (CVPR, 2024)

Learning to Transform Dynamically for Better Adversarial Transferability. - Rongyi Zhu; Zeliang Zhang; Zhuo Liu; Chenliang Xu; Susan Liang (CVPR, 2024)

Random Smooth-based Certified Defense against Text Adversarial Attack. - Zeliang Zhang; Wei Yao 017; Susan Liang; Chenliang Xu (EACL (Findings), 2024)

Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP. - Zeliang Zhang; Zhuo Liu; Mingqian Feng; Chenliang Xu (EMNLP (Findings), 2024)

One Forward is Enough for Neural Network Training via Likelihood Ratio Method. - Jinyang Jiang 001; Zeliang Zhang; Chenliang Xu; Zhaofei Yu; Yijie Peng (ICLR, 2024)

ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers. - Qingxiong Tan; Jin Xiao; Jiayang Chen; Yixuan Wang; Zeliang Zhang; Tiancheng Zhao; Yu Li 006 (Briefings Bioinform., 2024)

Bag of Tricks to Boost Adversarial Transferability. - Zeliang Zhang; Rongyi Zhu; Wei Yao; Xiaosen Wang; Chenliang Xu (CoRR, 2024)

Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training. - Zeliang Zhang; Jinyang Jiang 001; Zhuo Liu; Susan Liang; Yijie Peng; Chenliang Xu (CoRR, 2024)

Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning? - Mingqian Feng; Yunlong Tang 002; Zeliang Zhang; Chenliang Xu (CoRR, 2024)

Quadratic Is Not What You Need For Multimodal Large Language Models. - Phu Pham; Wentian Zhao; Kun Wan 001; Yu-Jhe Li; Zeliang Zhang; Daniel Miranda; Ajinkya Kale; Chenliang Xu (CoRR, 2024)

Understanding Model Ensemble in Transferable Adversarial Attack. - Wei Yao 017; Zeliang Zhang; Huayi Tang; Yong Liu (CoRR, 2024)

Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models? - Zeliang Zhang; Xin Liang; Mingqian Feng; Susan Liang; Chenliang Xu (CoRR, 2024)

CTU-Level Adaptive QP Offset Algorithm for V-PCC Using JND and Spatial Complexity. - Mengmeng Zhang; Zeliang Zhang; Yuan Li; Ran Cheng; Hongyuan Jing; Zhi Liu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. - Zeliang Zhang; Xiaodong Liu 003; Hao Cheng 002; Chenliang Xu; Jianfeng Gao 001 (ACL (Findings), 2025)

VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? - Yunlong Tang 002; Junjia Guo; Hang Hua; Susan Liang; Mingqian Feng; Xinyang Li; Rui Mao 017; Chao Huang 008; Jing Bi 002; Zeliang Zhang; Pooyan Fazli; Chenliang Xu (CVPR, 2025)

Targeted Forgetting of Image Subgroups in CLIP Models. - Zeliang Zhang; Gaowen Liu; Charles Fleming; Ramana Rao Kompella; Chenliang Xu (CVPR, 2025)

FLOPS: Forward Learning with OPtimal Sampling. - Tao Ren 006; Zishi Zhang; Jinyang Jiang 001; Guanghao Li; Zeliang Zhang; Mingqian Feng; Yijie Peng (ICLR, 2025)

Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives. - Zeliang Zhang; Susan Liang; Daiki Shimada; Chenliang Xu (ICLR, 2025)

Noise Optimization in Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Kuihua Huang; Jinyang Jiang 001; Yijie Peng (IEEE Trans Autom. Sci. Eng., 2025)

Generative AI for Cel-Animation: A Survey. - Yunlong Tang 002; Junjia Guo; Pinxin Liu; Zhiyuan Wang; Hang Hua; Jia-Xing Zhong; Yunzhong Xiao; Chao Huang 008; Luchuan Song; Susan Liang; Yizhi Song; Liu He; et al. (CoRR, 2025)

From 16-Bit to 1-Bit: Visual KV Cache Quantization for Memory-Efficient Multimodal Large Language Models. - Zeliang Zhang; Yifan Zhu 003; Susan Liang; Zhiyuan Wang; Jiani Liu 013; Haiting Lin; Mingjie Zhao; Chenliang Xu; Kun Wan 001; Wentian Zhao (CoRR, 2025)

Forward Learning with Differential Privacy. - Mingqian Feng; Zeliang Zhang; Jinyang Jiang 001; Yijie Peng; Chenliang Xu (CoRR, 2025)

Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting. - Yunlong Tang 002; Jing Bi 002; Chao Huang 008; Susan Liang; Daiki Shimada; Hang Hua; Yunzhong Xiao; Yizhi Song; Pinxin Liu; Mingqian Feng; Junjia Guo; Zhuo Liu; et al. (CoRR, 2025)

The Sword of Damocles in ViTs: Computational Redundancy Amplifies Adversarial Transferability. - Jiani Liu 013; Zhiyuan Wang; Zeliang Zhang; Chao Huang 008; Susan Liang; Yunlong Tang 002; Chenliang Xu (CoRR, 2025)

Diagnosis of Free-Wheeling Diodes in PMSM Drives Based on Residual Current Under Open-Circuit Faults. - Zeliang Zhang; Yihua Hu 004; Christopher H. T. Lee; Guangzhao Luo; Chao Gong 001; Mohammed Alkahtani (IEEE Trans. Ind. Electron., 2025)

MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness. - Yunlong Tang 002; Pinxin Liu; Mingqian Feng; Zhangyun Tan; Rui Mao 017; Chao Huang 008; Jing Bi 002; Yunzhong Xiao; Susan Liang; Hang Hua; Ali Vosoughi; Luchuan Song; et al. (CoRR, 2025)

OPENXRD: A Comprehensive Benchmark and Enhancement Framework for LLM/MLLM XRD Question Answering. - Ali Vosoughi; Ayoub Shahnazari; Yufeng Xi; Zeliang Zhang; Griffin Hess; Chenliang Xu; Niaz Abdolrahim (CoRR, 2025)

How robust is your fair model? Exploring the robustness of prominent fairness strategies. - Edward A. Small; Wei Shao 006; Zeliang Zhang; Peihan Liu; Jeffrey Chan; Kacper Sokol; Flora D. Salim (Data Min. Knowl. Discov., 2025)