An Information Spread Evolutionary Algorithm for Numerical Optimization. - Zhen-zhong Lan; Yuan Shi; Xiang-hu Feng (IC-AI, 2008)

Differential Evolution Based on Improved Learning Strategy. - Yuan Shi; Zhen-zhong Lan; Xiang-hu Feng (PRICAI, 2008)

A novel information spread evolutionary algorithm applied to function optimization. - Zhen-zhong Lan; Yuan Shi; Xiang-hu Feng (SMC, 2008)

Transferred Feature Selection. - Wei Bi; Yuan Shi; Zhen-zhong Lan (ICDM Workshops, 2009)

Extending Semi-supervised Learning Methods for Inductive Transfer Learning. - Yuan Shi; Zhen-zhong Lan; Wei Liu 015; Wei Bi (ICDM, 2009)

Joint segmentation and classification of human actions in video. - Minh Hoai Nguyen; Zhen-Zhong Lan; Fernando De la Torre (CVPR, 2011)

Informedia@TRECVID 2011: Surveillance Event Detection. - Lei Bao; Longfei Zhang; Shoou-I Yu; Zhen-zhong Lan; Lu Jiang 004; Arnold Overwijk; Qin Jin; Shohei Takahashi; Brian Langner; Yuanpeng Li 001; Michael Garbus; Susanne Burger; et al. (TRECVID, 2011)

Double Fusion for Multimedia Event Detection. - Zhen-zhong Lan; Lei Bao; Shoou-I Yu; Wei Liu 015; Alexander G. Hauptmann (MMM, 2012)

Informedia @TRECVID 2012. - Shoou-I Yu; Zhongwen Xu; Duo Ding; Waito Sze; Francisco Vicente 001; Zhenzhong Lan; Yang Cai 002; Shourabh Rawat; Peter F. Schulam; Nisarga Markandaiah; Sohail Bahmani; Antonio Juárez; et al. (TRECVID, 2012)

Space-Time Robust Representation for Action Recognition. - Nicolas Ballas; Yi Yang 001; Zhen-Zhong Lan; Bertrand Delezoide; Françoise J. Prêteux; Alexander G. Hauptmann (ICCV, 2013)

Informedia@TRECVID 2013. - Zhenzhong Lan; Lu Jiang 004; Shoou-I Yu; Chenqiang Gao; Shourabh Rawat; Yang Cai 002; Shicheng Xu; Haoquan Shen; Xuanchong Li; Yipei Wang; Waito Sze; Yan Yan 002; et al. (TRECVID, 2013)

Viral Video Style: A Closer Look at Viral Videos on YouTube. - Lu Jiang 004; Yajie Miao; Yi Yang 001; Zhen-Zhong Lan; Alexander G. Hauptmann (ICMR, 2014)

Resource Constrained Multimedia Event Detection. - Zhen-Zhong Lan; Yi Yang 001; Nicolas Ballas; Shoou-I Yu; Alexander G. Hauptmann (MMM (1), 2014)

Self-Paced Learning with Diversity. - Lu Jiang 004; Deyu Meng; Shoou-I Yu; Zhen-Zhong Lan; Shiguang Shan; Alexander G. Hauptmann (NIPS, 2014)

Informedia @ TRECVID 2014. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2014)

Temporal Extension of Scale Pyramid and Spatial Pyramid Matching for Action Recognition. - Zhen-Zhong Lan; Xuanchong Li; Alexander G. Hauptmann (CoRR, 2014)

Multimedia classification and event detection using double fusion. - Zhen-zhong Lan; Lei Bao; Shoou-I Yu; Wei Liu 015; Alexander G. Hauptmann (Multim. Tools Appl., 2014)

E-LAMP: integration of innovative ideas for multimedia event detection. - Wei Tong; Yi Yang 001; Lu Jiang 004; Shoou-I Yu; Zhen-zhong Lan; Zhigang Ma; Waito Sze; Ehsan Younessian; Alexander G. Hauptmann (Mach. Vis. Appl., 2014)

Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition. - Zhen-Zhong Lan; Ming Lin 002; Xuanchong Li; Alexander G. Hauptmann; Bhiksha Raj (CVPR, 2015)

Density Corrected Sparse Recovery when R.I.P. Condition Is Broken. - Ming Lin 002; Zhen-Zhong Lan; Alexander G. Hauptmann (IJCAI, 2015)

Incremental Multimodal Query Construction for Video Search. - Shicheng Xu; Huan Li; Xiaojun Chang; Shoou-I Yu; Xingzhong Du; Xuanchong Li; Lu Jiang 004; Zexi Mao; Zhen-Zhong Lan; Susanne Burger; Alexander G. Hauptmann (ICMR, 2015)

Learn to Recognize Actions Through Neural Networks. - Zhenzhong Lan (ACM Multimedia, 2015)

CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2015)

Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation. - Zhiyong Cheng 001; Daniel Soudry; Zexi Mao; Zhen-zhong Lan (CoRR, 2015)

Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition. - Zhen-Zhong Lan; Alexander G. Hauptmann (CoRR, 2015)

Long-short Term Motion Feature for Action Classification and Retrieval. - Zhen-Zhong Lan; Xuanchong Li; Ming Lin 002; Alexander G. Hauptmann (CoRR, 2015)

Improving Human Activity Recognition Through Ranking and Re-ranking. - Zhen-Zhong Lan; Shoou-I Yu; Alexander G. Hauptmann (CoRR, 2015)

Handcrafted Local Features are Convolutional Neural Networks. - Zhen-Zhong Lan; Shoou-I Yu; Ming Lin 002; Bhiksha Raj; Alexander G. Hauptmann (CoRR, 2015)

The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition. - Zhen-Zhong Lan; Dezhong Yao 002; Ming Lin 002; Shoou-I Yu; Alexander G. Hauptmann (CoRR, 2015)

The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition. - Zhen-Zhong Lan; Shoou-I Yu; Dezhong Yao 002; Ming Lin 002; Bhiksha Raj; Alexander G. Hauptmann (CVPR Workshops, 2016)

Informedia @ TRECVID 2016. - Junwei Liang 001; Jia Chen 001; Poyao Huang 001; Xuanchong Li; Lu Jiang 004; Zhenzhong Lan; Pingbo Pan; Hehe Fan; Qin Jin; Jiande Sun 001; Yang Chen; Yi Yang 001; et al. (TRECVID, 2016)

Strategies for Searching Video Content with Text Queries or Video Examples. - Shoou-I Yu; Yi Yang 001; Zhongwen Xu; Shicheng Xu; Deyu Meng; Zexi Mao; Zhigang Ma; Ming Lin 002; Xuanchong Li; Huan Li; Zhen-Zhong Lan; Lu Jiang 004; et al. (CoRR, 2016)

Deep Local Video Feature for Action Recognition. - Zhen-Zhong Lan; Yi Zhu 001; Alexander G. Hauptmann; Shawn D. Newsam (CVPR Workshops, 2017)

Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification. - Poyao Huang 001; Ye Yuan; Zhen-Zhong Lan; Lu Jiang 004; Alexander G. Hauptmann (CoRR, 2017)

Deep Local Video Feature for Action Recognition. - Zhen-Zhong Lan; Yi Zhu 001; Alexander G. Hauptmann (CoRR, 2017)

Guided Optical Flow Learning. - Yi Zhu 001; Zhen-Zhong Lan; Shawn D. Newsam; Alexander G. Hauptmann (CoRR, 2017)

Hidden Two-Stream Convolutional Networks for Action Recognition. - Yi Zhu 001; Zhen-Zhong Lan; Shawn D. Newsam; Alexander G. Hauptmann (ACCV (3), 2018)

Multi-stage Pretraining for Abstractive Summarization. - Sebastian Goodman; Zhenzhong Lan; Radu Soricut (CoRR, 2019)

CLUE: A Chinese Language Understanding Evaluation Benchmark. - Liang Xu 011; Hai Hu; Xuanwei Zhang; Lu Li; Chenjie Cao; Yudong Li 001; Yechen Xu; Kai Sun 006; Dian Yu 001; Cong Yu 010; Yin Tian; Qianqian Dong; et al. (COLING, 2020)

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. - Zhenzhong Lan; Mingda Chen; Sebastian Goodman; Kevin Gimpel; Piyush Sharma; Radu Soricut (ICLR, 2020)

Talking-Heads Attention. - Noam Shazeer; Zhenzhong Lan; Youlong Cheng; Nan Ding 002; Le Hou (CoRR, 2020)

CLUE: A Chinese Language Understanding Evaluation Benchmark. - Liang Xu 010; Xuanwei Zhang; Lu Li; Hai Hu; Chenjie Cao; Weitang Liu; Junyi Li; Yudong Li 001; Kai Sun 006; Yechen Xu; Yiming Cui 001; Cong Yu 010; et al. (CoRR, 2020)

Attention that does not Explain Away. - Nan Ding 002; Xinjie Fan; Zhenzhong Lan; Dale Schuurmans; Radu Soricut (CoRR, 2020)

Memformer: The Memory-Augmented Transformer. - Qingyang Wu; Zhenzhong Lan; Jing Gu; Zhou Yu 005 (CoRR, 2020)

Do Transformer Modifications Transfer Across Implementations and Applications? - Sharan Narang; Hyung Won Chung; Yi Tay; Liam Fedus; Thibault Févry; Michael Matena; Karishma Malkan; Noah Fiedel; Noam Shazeer; Zhenzhong Lan; Yanqi Zhou; Wei Li 133; et al. (EMNLP (1), 2021)

Dynamic Resolution Network. - Mingjian Zhu; Kai Han 002; Enhua Wu; Qiulin Zhang; Ying Nie; Zhenzhong Lan; Yunhe Wang 001 (NeurIPS, 2021)

Global-Selector: A New Benchmark Dataset and Model Architecture for Multi-turn Response Selection. - Chiyu Song; Hongliang He; Huachuan Qiu; Haofei Yu; Zhenzhong Lan (CoRR, 2021)

S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding. - Junlei Zhang; Zhenzhong Lan (CoRR, 2021)

Air-to-Air Visual Detection of Micro-UAVs: An Experimental Evaluation of Deep Learning. - Ye Zheng; Zhang Chen; Dailin Lv; Zhixing Li; Zhenzhong Lan; Shiyu Zhao (IEEE Robotics Autom. Lett., 2021)

Memformer: A Memory-Augmented Transformer for Sequence Modeling. - Qingyang Wu; Zhenzhong Lan; Kun Qian 016; Jing Gu; Alborz Geramifard; Zhou Yu 005 (AACL/IJCNLP (Findings), 2022)

Towards Automated Real-time Evaluation in Text-based Counseling. - Anqi Li 002; Jingsong Ma; Lizhi Ma; Pengfei Fang; Hongliang He; Zhenzhong Lan (CoRR, 2022)

Connecting the Dots in Self-Supervised Learning: A Brief Survey for Beginners. - Peng-Fei Fang; Xian Li; Yang Yan; Shuai Zhang; Qiyue Kang; Xiao-Fei Li; Zhen-Zhong Lan (J. Comput. Sci. Technol., 2022)

Towards Usable Multimedia Event Detection - Zhenzhong Lan (2022)

Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. - Hongliang He; Junlei Zhang; Zhenzhong Lan; Yue Zhang 004 (AAAI, 2023)

Enhancing Grammatical Error Correction Systems with Explanations. - Yuejiao Fei; Leyang Cui; Sen Yang 005; Wai Lam; Zhenzhong Lan; Shuming Shi 001 (ACL (1), 2023)

Understanding Client Reactions in Online Mental Health Counseling. - Anqi Li 002; Lizhi Ma; Yaling Mei; Hongliang He; Shuai Zhang; Huachuan Qiu; Zhenzhong Lan (ACL (1), 2023)

Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems. - Chiyu Song; Hongliang He; Haofei Yu; Pengfei Fang; Leyang Cui; Zhenzhong Lan (ACL (Findings), 2023)

Contrastive Learning of Sentence Embeddings from Scratch. - Junlei Zhang; Zhenzhong Lan; Junxian He (EMNLP, 2023)

Unleashing the Second Brain: Enhancing Large Language Models through Chain of Thought with Human Feedback. - Jia Yu; Minghui Luo; Honggu Zhou; Zhenzhong Lan (ISCID, 2023)

Deep Transfer Learning Based Text Classification Method for Product Reviews. - Jia Yu; Yuming Yan; Zhen-Zhong Lan (ISCID, 2023)

A Benchmark for Understanding Dialogue Safety in Mental Health Support. - Huachuan Qiu; Tong Zhao; Anqi Li 002; Shuai Zhang; Hongliang He; Zhenzhong Lan (NLPCC (2), 2023)

Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models. - Huachuan Qiu; Shuai Zhang; Anqi Li 002; Hongliang He; Zhenzhong Lan (CoRR, 2023)

SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark. - Liang Xu; Anqi Li 002; Lei Zhu; Hang Xue; Changtai Zhu; Kangkang Zhao; Haonan He; Xuanwei Zhang; Qiyue Kang; Zhenzhong Lan (CoRR, 2023)

Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace. - Chiyu Song; Zhanchao Zhou; Jianhao Yan; Yuejiao Fei; Zhenzhong Lan; Yue Zhang 004 (CoRR, 2023)

PsyBench: a balanced and in-depth Psychological Chinese Evaluation Benchmark for Foundation Models. - Junlei Zhang; Hongliang He; Nirui Song; Shuyuan He; Shuai Zhang; Huachuan Qiu; Anqi Li 002; Lizhi Ma; Zhenzhong Lan (CoRR, 2023)

Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design. - Jia Yu; Lichao Zhang; Zijie Chen; Fayu Pan; Miaomiao Wen; Yuming Yan; Fangsheng Weng; Shuai Zhang; Lili Pan 001; Zhenzhong Lan (CoRR, 2023)

Poincaré Kernels for Hyperbolic Representations. - Pengfei Fang; Mehrtash Harandi; Zhenzhong Lan; Lars Petersson (Int. J. Comput. Vis., 2023)

Beyond a strong baseline: cross-modality contrastive learning for visible-infrared person re-identification. - Pengfei Fang; Yukang Zhang; Zhenzhong Lan (Mach. Vis. Appl., 2023)

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models. - Hongliang He; Wenlin Yao; Kaixin Ma; Wenhao Yu 002; Yong Dai 001; Hongming Zhang 009; Zhenzhong Lan; Dong Yu 001 (ACL (1), 2024)

PsyChat: A Client-Centric Dialogue System for Mental Health Support. - Huachuan Qiu; Anqi Li 002; Lizhi Ma; Zhenzhong Lan (CSCWD, 2024)

Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models. - Huachuan Qiu; Shuai Zhang; Hongliang He; Anqi Li 002; Zhenzhong Lan (CSCWD, 2024)

Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting. - Zijie Chen; Lichao Zhang; Fangsheng Weng; Lili Pan 001; Zhenzhong Lan (CVPR, 2024)

Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs. - Anqi Li 002; Yu Lu; Nirui Song; Shuai Zhang; Lizhi Ma; Zhenzhong Lan (EMNLP (Findings), 2024)

SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support. - Huachuan Qiu; Hongliang He; Shuai Zhang; Anqi Li 002; Zhenzhong Lan (EMNLP (Findings), 2024)

PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling. - Huachuan Qiu; Lizhi Ma; Zhenzhong Lan (EMNLP, 2024)

Benchmark for Detecting Child Pornography in Open Domain Dialogues Using Large Language Models. - Jia Yu; Zhiwei Huang; Lichao Zhang; Yu Lu; Yuming Yan; Zhenyang Xiao; Zhenzhong Lan (IJCNN, 2024)

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. - Chang Ma; Junlei Zhang; Zhihao Zhu; Cheng Yang 007; Yujiu Yang; Yaohui Jin; Zhenzhong Lan; Lingpeng Kong; Junxian He (NeurIPS, 2024)

Beyond Binary Classification: A Fine-Grained Safety Dataset for Large Language Models. - Jia Yu; Long Li; Zhenzhong Lan (IEEE Access, 2024)

Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents. - Shuai Zhang; Yu Lu; Junwen Liu; Jia Yu; Huachuan Qiu; Yuming Yan; Zhenzhong Lan (CoRR, 2024)

Automatic Evaluation for Mental Health Counseling using LLMs. - Anqi Li 002; Yu Lu; Nirui Song; Shuai Zhang; Lizhi Ma; Zhenzhong Lan (CoRR, 2024)

No General Code of Ethics for All: Ethical Considerations in Human-bot Psycho-counseling. - Lizhi Ma; Tong Zhao; Huachuan Qiu; Zhenzhong Lan (CoRR, 2024)

Unveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations. - Lichao Zhang; Jia Yu; Shuai Zhang; Long Li; Yangyang Zhong; Guanbao Liang; Yuming Yan; Qing Ma; Fangsheng Weng; Fayu Pan; Jing Li; Renjun Xu; et al. (CoRR, 2024)

Predicting the Big Five Personality Traits in Chinese Counselling Dialogues Using Large Language Models. - Yang Yan; Lizhi Ma; Anqi Li 002; Jingsong Ma; Zhenzhong Lan (CoRR, 2024)

Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions. - Huachuan Qiu; Zhenzhong Lan (CoRR, 2024)

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas. - Xiang Hu; Hongyu Fu; Jinge Wang 010; Yifeng Wang; Zhikun Li; Renjun Xu; Yu Lu; Yaochu Jin; Lili Pan 001; Zhenzhong Lan (CoRR, 2024)

Value Residual Learning For Alleviating Attention Concentration In Transformers. - Zhanchao Zhou; Tianyi Wu; Zhiyun Jiang; Zhenzhong Lan (CoRR, 2024)

Identifying Cocoa Pollinators: A Deep Learning Dataset. - Wenxiu Xu; Saba Ghorbani Bazegar; Dong Sheng; Manuel Toledo-Hernandez; Zhen-Zhong Lan; Thomas Cherico Wanger (CoRR, 2024)

UBER: Uncertainty-Based Evolution with Large Language Models for Automatic Heuristic Design. - Zijie Chen; Zhanchao Zhou; Yu Lu; Renjun Xu; Lili Pan 001; Zhenzhong Lan (CoRR, 2024)

Offline prompt polishing for low quality instructions. - Jia Yu; Zhanchao Zhou; Long Li; Ling Li; Yuming Yan; Renjun Xu; Zhenzhong Lan (Neurocomputing, 2024)

OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization. - Hongliang He; Wenlin Yao; Kaixin Ma; Wenhao Yu 002; Hongming Zhang 009; Tianqing Fang; Zhenzhong Lan; Dong Yu 001 (ACL (1), 2025)

NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models. - Xiang Hu; Hongyu Fu; Jinge Wang 010; Yifeng Wang; Zhikun Li; Renjun Xu; Yu Lu; Yaochu Jin; Lili Pan 001; Zhenzhong Lan (ACL (Findings), 2025)

PsyDial: A Large-scale Long-term Conversational Dataset for Mental Health Support. - Huachuan Qiu; Zhenzhong Lan (ACL (1), 2025)

Value Residual Learning. - Zhanchao Zhou; Tianyi Wu; Zhiyun Jiang; Fares Obeid; Zhenzhong Lan (ACL (1), 2025)

Dynamics of Instruction Fine-Tuning for Chinese Large Language Models. - Chiyu Song; Zhanchao Zhou; Jianhao Yan; Yuejiao Fei; Zhenzhong Lan; Yue Zhang 004 (COLING, 2025)

Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning. - Yang Yan; Bingqing Yue; Qiaxuan Li; Man Huang; Jingyu Chen; Zhenzhong Lan (ICASSP, 2025)

ConceptPsy: A comprehensive benchmark suite for hierarchical psychological concept understanding in LLMs. - Junlei Zhang; Hongliang He; Lizhi Ma; Nirui Song; Shuyuan He; Shuai Zhang; Huachuan Qiu; Zhanchao Zhou; Anqi Li 002; Yong Dai 001; Renjun Xu; Zhenzhong Lan (Neurocomputing, 2025)

Do PhD-level LLMs Truly Grasp Elementary Addition? Probing Rule Learning vs. Memorization in Large Language Models. - Yang Yan; Yu Lu; Renjun Xu; Zhenzhong Lan (CoRR, 2025)

Breaking the Data Barrier - Building GUI Agents Through Task Generalization. - Junlei Zhang; Zichen Ding 002; Chang Ma; Zijie Chen; Qiushi Sun; Zhenzhong Lan; Junxian He (CoRR, 2025)

The Expressions of Depression and Anxiety in Chinese Psycho-counseling: Usage of First-person Singular Pronoun and Negative Emotional Words. - Lizhi Ma; Tong Zhao; Shuai Zhang; Nirui Song; Hongliang He; Anqi Li 002; Ran Feng; Huachuan Qiu; Jingsong Ma; Zhenzhong Lan (CoRR, 2025)

MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs. - Xiaodong Chen; Mingming Ha; Zhenzhong Lan; Jing Zhang; Jianguo Li (CoRR, 2025)

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts. - Haoyuan Wu; Haoxing Chen; Xiaodong Chen; Zhanchao Zhou; Tieyuan Chen; Yihong Zhuang; Guoshan Lu; Zenan Huang; Junbo Zhao; Lin Liu; Zhenzhong Lan; Bei Yu; et al. (CoRR, 2025)

Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World Apps. - Kangyu Wang; Hongliang He; Lin Liu; Ruiqi Liang; Zhenzhong Lan; Jianguo Li (CoRR, 2025)

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists. - Pengsong Zhang; Xiang Hu; Guowei Huang; Yang Qi; Heng Zhang; Xiuxu Li; Jiaxing Song; Jiabin Luo; Yijiang Li; Shuo Yin; Chengxiao Dai; Eric Hanchen Jiang; et al. (CoRR, 2025)