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Zhen-Zhong Lan

Zhen-zhong Lan – Zhenzhong Lan

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Books and Theses

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2022
[b1]
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Zhenzhong Lan:
Towards Usable Multimedia Event Detection. Carnegie Mellon University, USA, 2022

Journal Articles

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2025
[j9]
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Junlei Zhang, Hongliang He, Lizhi Ma, Nirui Song, Shuyuan He, Shuai Zhang, Huachuan Qiu, Zhanchao Zhou, Anqi Li, Yong Dai, Renjun Xu, Zhenzhong Lan:
ConceptPsy: A comprehensive benchmark suite for hierarchical psychological concept understanding in LLMs. Neurocomputing 637: 130070 (2025)
2024
[j8]
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Jia Yu, Long Li, Zhenzhong Lan:
Beyond Binary Classification: A Fine-Grained Safety Dataset for Large Language Models. IEEE Access 12: 64717-64726 (2024)
[j7]
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Jia Yu, Zhanchao Zhou, Long Li, Ling Li, Yuming Yan, Renjun Xu, Zhenzhong Lan:
Offline prompt polishing for low quality instructions. Neurocomputing 598: 128046 (2024)
2023
[j6]
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Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson:
Poincaré Kernels for Hyperbolic Representations. Int. J. Comput. Vis. 131(11): 2770-2792 (2023)
[j5]
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Pengfei Fang, Yukang Zhang, Zhenzhong Lan:
Beyond a strong baseline: cross-modality contrastive learning for visible-infrared person re-identification. Mach. Vis. Appl. 34(6): 105 (2023)
2022
[j4]
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Peng-Fei Fang, Xian Li, Yang Yan, Shuai Zhang, Qiyue Kang, Xiao-Fei Li, Zhen-Zhong Lan:
Connecting the Dots in Self-Supervised Learning: A Brief Survey for Beginners. J. Comput. Sci. Technol. 37(3): 507-526 (2022)
2021
[j3]
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Ye Zheng, Zhang Chen, Dailin Lv, Zhixing Li, Zhenzhong Lan, Shiyu Zhao:
Air-to-Air Visual Detection of Micro-UAVs: An Experimental Evaluation of Deep Learning. IEEE Robotics Autom. Lett. 6(2): 1020-1027 (2021)
2014
[j2]
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Zhen-zhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, Alexander G. Hauptmann:
Multimedia classification and event detection using double fusion. Multim. Tools Appl. 71(1): 333-347 (2014)
[j1]
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Wei Tong, Yi Yang, Lu Jiang, Shoou-I Yu, Zhen-zhong Lan, Zhigang Ma, Waito Sze, Ehsan Younessian, Alexander G. Hauptmann:
E-LAMP: integration of innovative ideas for multimedia event detection. Mach. Vis. Appl. 25(1): 5-15 (2014)

Conference and Workshop Papers

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2025
[c47]
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Chiyu Song, Zhanchao Zhou, Jianhao Yan, Yuejiao Fei, Zhenzhong Lan, Yue Zhang:
Dynamics of Instruction Fine-Tuning for Chinese Large Language Models. COLING 2025: 10345-10366
2024
[c46]
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Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu:
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models. ACL (1) 2024: 6864-6890
[c45]
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Huachuan Qiu, Shuai Zhang, Hongliang He, Anqi Li, Zhenzhong Lan:
Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models. CSCWD 2024: 2313-2318
[c44]
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Huachuan Qiu, Anqi Li, Lizhi Ma, Zhenzhong Lan:
PsyChat: A Client-Centric Dialogue System for Mental Health Support. CSCWD 2024: 2979-2984
[c43]
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Zijie Chen, Lichao Zhang, Fangsheng Weng, Lili Pan, Zhenzhong Lan:
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting. CVPR 2024: 7727-7736
[c42]
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Huachuan Qiu, Hongliang He, Shuai Zhang, Anqi Li, Zhenzhong Lan:
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support. EMNLP (Findings) 2024: 615-636
[c41]
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Anqi Li, Yu Lu, Nirui Song, Shuai Zhang, Lizhi Ma, Zhenzhong Lan:
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs. EMNLP (Findings) 2024: 1280-1303
[c40]
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Huachuan Qiu, Lizhi Ma, Zhenzhong Lan:
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling. EMNLP 2024: 4581-4607
[c39]
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Jia Yu, Zhiwei Huang, Lichao Zhang, Yu Lu, Yuming Yan, Zhenyang Xiao, Zhenzhong Lan:
Benchmark for Detecting Child Pornography in Open Domain Dialogues Using Large Language Models. IJCNN 2024: 1-9
[c38]
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Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He:
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. NeurIPS 2024
2023
[c37]
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Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang:
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. AAAI 2023: 12863-12871
[c36]
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Chiyu Song, Hongliang He, Haofei Yu, Pengfei Fang, Leyang Cui, Zhenzhong Lan:
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems. ACL (Findings) 2023: 6231-6244
[c35]
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Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan, Shuming Shi:
Enhancing Grammatical Error Correction Systems with Explanations. ACL (1) 2023: 7489-7501
[c34]
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Anqi Li, Lizhi Ma, Yaling Mei, Hongliang He, Shuai Zhang, Huachuan Qiu, Zhenzhong Lan:
Understanding Client Reactions in Online Mental Health Counseling. ACL (1) 2023: 10358-10376
[c33]
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Junlei Zhang, Zhenzhong Lan, Junxian He:
Contrastive Learning of Sentence Embeddings from Scratch. EMNLP 2023: 3916-3932
[c32]
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Jia Yu, Yuming Yan, Zhen-Zhong Lan:
Deep Transfer Learning Based Text Classification Method for Product Reviews. ISCID 2023: 80-83
[c31]
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Jia Yu, Minghui Luo, Honggu Zhou, Zhenzhong Lan:
Unleashing the Second Brain: Enhancing Large Language Models through Chain of Thought with Human Feedback. ISCID 2023: 90-95
[c30]
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Huachuan Qiu, Tong Zhao, Anqi Li, Shuai Zhang, Hongliang He, Zhenzhong Lan:
A Benchmark for Understanding Dialogue Safety in Mental Health Support. NLPCC (2) 2023: 1-13
2022
[c29]
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Qingyang Wu, Zhenzhong Lan, Kun Qian, Jing Gu, Alborz Geramifard, Zhou Yu:
Memformer: A Memory-Augmented Transformer for Sequence Modeling. AACL/IJCNLP (Findings) 2022: 308-318
2021
[c28]
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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, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel:
Do Transformer Modifications Transfer Across Implementations and Applications? EMNLP (1) 2021: 5758-5773
[c27]
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Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang:
Dynamic Resolution Network. NeurIPS 2021: 27319-27330
2020
[c26]
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Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan:
CLUE: A Chinese Language Understanding Evaluation Benchmark. COLING 2020: 4762-4772
[c25]
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Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ICLR 2020
2018
[c24]
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Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann:
Hidden Two-Stream Convolutional Networks for Action Recognition. ACCV (3) 2018: 363-378
2017
[c23]
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Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam:
Deep Local Video Feature for Action Recognition. CVPR Workshops 2017: 1219-1225
2016
[c22]
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Zhen-Zhong Lan, Shoou-I Yu, Dezhong Yao, Ming Lin, Bhiksha Raj, Alexander G. Hauptmann:
The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition. CVPR Workshops 2016: 1196-1205
[c21]
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Junwei Liang, Jia Chen, Poyao Huang, Xuanchong Li, Lu Jiang, Zhenzhong Lan, Pingbo Pan, Hehe Fan, Qin Jin, Jiande Sun, Yang Chen, Yi Yang, Alexander G. Hauptmann:
Informedia @ TRECVID 2016. TRECVID 2016
2015
[c20]
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Zhen-Zhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj:
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition. CVPR 2015: 204-212
[c19]
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Ming Lin, Zhen-Zhong Lan, Alexander G. Hauptmann:
Density Corrected Sparse Recovery when R.I.P. Condition Is Broken. IJCAI 2015: 3664-3670
[c18]
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Shicheng Xu, Huan Li, Xiaojun Chang, Shoou-I Yu, Xingzhong Du, Xuanchong Li, Lu Jiang, Zexi Mao, Zhen-Zhong Lan, Susanne Burger, Alexander G. Hauptmann:
Incremental Multimodal Query Construction for Video Search. ICMR 2015: 675-678
[c17]
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Zhenzhong Lan:
Learn to Recognize Actions Through Neural Networks. ACM Multimedia 2015: 657-660
[c16]
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Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann:
CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. TRECVID 2015
2014
[c15]
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Lu Jiang, Yajie Miao, Yi Yang, Zhen-Zhong Lan, Alexander G. Hauptmann:
Viral Video Style: A Closer Look at Viral Videos on YouTube. ICMR 2014: 193
[c14]
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Zhen-Zhong Lan, Yi Yang, Nicolas Ballas, Shoou-I Yu, Alexander G. Hauptmann:
Resource Constrained Multimedia Event Detection. MMM (1) 2014: 388-399
[c13]
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Lu Jiang, Deyu Meng, Shoou-I Yu, Zhen-Zhong Lan, Shiguang Shan, Alexander G. Hauptmann:
Self-Paced Learning with Diversity. NIPS 2014: 2078-2086
[c12]
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Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann, Anil Armagan, Yicheng Zhao:
Informedia @ TRECVID 2014. TRECVID 2014
2013
[c11]
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Nicolas Ballas, Yi Yang, Zhen-Zhong Lan, Bertrand Delezoide, Françoise J. Prêteux, Alexander G. Hauptmann:
Space-Time Robust Representation for Action Recognition. ICCV 2013: 2704-2711
[c10]
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Zhenzhong Lan, Lu Jiang, Shoou-I Yu, Chenqiang Gao, Shourabh Rawat, Yang Cai, Shicheng Xu, Haoquan Shen, Xuanchong Li, Yipei Wang, Waito Sze, Yan Yan, Zhigang Ma, Nicolas Ballas, Deyu Meng, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Alexander G. Hauptmann:
Informedia@TRECVID 2013. TRECVID 2013
2012
[c9]
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Zhen-zhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, Alexander G. Hauptmann:
Double Fusion for Multimedia Event Detection. MMM 2012: 173-185
[c8]
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Shoou-I Yu, Zhongwen Xu, Duo Ding, Waito Sze, Francisco Vicente, Zhenzhong Lan, Yang Cai, Shourabh Rawat, Peter F. Schulam, Nisarga Markandaiah, Sohail Bahmani, Antonio Juárez, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Lu Jiang, Qiang Chen, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti:
Informedia @TRECVID 2012. TRECVID 2012
2011
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Minh Hoai Nguyen, Zhen-Zhong Lan, Fernando De la Torre:
Joint segmentation and classification of human actions in video. CVPR 2011: 3265-3272
[c6]
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Lei Bao, Longfei Zhang, Shoou-I Yu, Zhen-zhong Lan, Lu Jiang, Arnold Overwijk, Qin Jin, Shohei Takahashi, Brian Langner, Yuanpeng Li, Michael Garbus, Susanne Burger, Florian Metze, Alexander G. Hauptmann:
Informedia@TRECVID 2011: Surveillance Event Detection. TRECVID 2011
2009
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Wei Bi, Yuan Shi, Zhen-zhong Lan:
Transferred Feature Selection. ICDM Workshops 2009: 416-421
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Yuan Shi, Zhen-zhong Lan, Wei Liu, Wei Bi:
Extending Semi-supervised Learning Methods for Inductive Transfer Learning. ICDM 2009: 483-492
2008
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Zhen-zhong Lan, Yuan Shi, Xiang-hu Feng:
An Information Spread Evolutionary Algorithm for Numerical Optimization. IC-AI 2008: 536-540
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Yuan Shi, Zhen-zhong Lan, Xiang-hu Feng:
Differential Evolution Based on Improved Learning Strategy. PRICAI 2008: 880-889
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Zhen-zhong Lan, Yuan Shi, Xiang-hu Feng:
A novel information spread evolutionary algorithm applied to function optimization. SMC 2008: 1192-1197

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2025
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Yang Yan, Bingqing Yue, Qiaxuan Li, Man Huang, Jingyu Chen, Zhenzhong Lan:
Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning. CoRR abs/2502.13447 (2025)
[i54]
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Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan:
Do PhD-level LLMs Truly Grasp Elementary Addition? Probing Rule Learning vs. Memorization in Large Language Models. CoRR abs/2504.05262 (2025)
[i53]
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  - journals/corr/abs-2504-10127
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Junlei Zhang, Zichen Ding, Chang Ma, Zijie Chen, Qiushi Sun, Zhenzhong Lan, Junxian He:
Breaking the Data Barrier - Building GUI Agents Through Task Generalization. CoRR abs/2504.10127 (2025)
2024
[i52]
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  - journals/corr/abs-2401-13178
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Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He:
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. CoRR abs/2401.13178 (2024)
[i51]
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  - journals/corr/abs-2401-13919
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Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu:
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models. CoRR abs/2401.13919 (2024)
[i50]
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  - journals/corr/abs-2402-11522
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Shuai Zhang, Yu Lu, Junwen Liu, Jia Yu, Huachuan Qiu, Yuming Yan, Zhenzhong Lan:
Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents. CoRR abs/2402.11522 (2024)
[i49]
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  - journals/corr/abs-2402-11958
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Anqi Li, Yu Lu, Nirui Song, Shuai Zhang, Lizhi Ma, Zhenzhong Lan:
Automatic Evaluation for Mental Health Counseling using LLMs. CoRR abs/2402.11958 (2024)
[i48]
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  - journals/corr/abs-2403-13250
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Huachuan Qiu, Shuai Zhang, Hongliang He, Anqi Li, Zhenzhong Lan:
Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models. CoRR abs/2403.13250 (2024)
[i47]
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  - journals/corr/abs-2404-14070
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Lizhi Ma, Tong Zhao, Huachuan Qiu, Zhenzhong Lan:
No General Code of Ethics for All: Ethical Considerations in Human-bot Psycho-counseling. CoRR abs/2404.14070 (2024)
[i46]
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  - journals/corr/abs-2406-15000
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Lichao Zhang, Jia Yu, Shuai Zhang, Long Li, Yangyang Zhong, Guanbao Liang, Yuming Yan, Qing Ma, Fangsheng Weng, Fayu Pan, Jing Li, Renjun Xu, Zhenzhong Lan:
Unveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations. CoRR abs/2406.15000 (2024)
[i45]
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  - journals/corr/abs-2406-17287
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Yang Yan, Lizhi Ma, Anqi Li, Jingsong Ma, Zhenzhong Lan:
Predicting the Big Five Personality Traits in Chinese Counselling Dialogues Using Large Language Models. CoRR abs/2406.17287 (2024)
[i44]
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  - journals/corr/abs-2408-15787
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Huachuan Qiu, Zhenzhong Lan:
Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions. CoRR abs/2408.15787 (2024)
[i43]
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  - journals/corr/abs-2409-20243
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Huachuan Qiu, Lizhi Ma, Zhenzhong Lan:
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling. CoRR abs/2409.20243 (2024)
[i42]
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  - journals/corr/abs-2410-14255
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Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan:
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas. CoRR abs/2410.14255 (2024)
[i41]
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  - journals/corr/abs-2410-17897
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Zhanchao Zhou, Tianyi Wu, Zhiyun Jiang, Zhenzhong Lan:
Value Residual Learning For Alleviating Attention Concentration In Transformers. CoRR abs/2410.17897 (2024)
[i40]
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  - journals/corr/abs-2410-19609
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Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Hongming Zhang, Tianqing Fang, Zhenzhong Lan, Dong Yu:
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization. CoRR abs/2410.19609 (2024)
[i39]
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  - journals/corr/abs-2412-19915
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Wenxiu Xu, Saba Ghorbani Bazegar, Dong Sheng, Manuel Toledo-Hernandez, Zhen-Zhong Lan, Thomas Cherico Wanger:
Identifying Cocoa Pollinators: A Deep Learning Dataset. CoRR abs/2412.19915 (2024)
[i38]
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  - journals/corr/abs-2412-20694
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Zijie Chen, Zhanchao Zhou, Yu Lu, Renjun Xu, Lili Pan, Zhenzhong Lan:
UBER: Uncertainty-Based Evolution with Large Language Models for Automatic Heuristic Design. CoRR abs/2412.20694 (2024)
2023
[i37]
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  - journals/corr/abs-2305-00450
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Huachuan Qiu, Hongliang He, Shuai Zhang, Anqi Li, Zhenzhong Lan:
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support. CoRR abs/2305.00450 (2023)
[i36]
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  - journals/corr/abs-2305-07424
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Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang:
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. CoRR abs/2305.07424 (2023)
[i35]
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  - journals/corr/abs-2305-15077
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Junlei Zhang, Zhenzhong Lan, Junxian He:
Contrastive Learning of Sentence Embeddings from Scratch. CoRR abs/2305.15077 (2023)
[i34]
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  - journals/corr/abs-2305-15676
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Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan, Shuming Shi:
Enhancing Grammatical Error Correction Systems with Explanations. CoRR abs/2305.15676 (2023)
[i33]
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  - journals/corr/abs-2306-15334
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Anqi Li, Lizhi Ma, Yaling Mei, Hongliang He, Shuai Zhang, Huachuan Qiu, Zhenzhong Lan:
Understanding Client Reactions in Online Mental Health Counseling. CoRR abs/2306.15334 (2023)
[i32]
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  - journals/corr/abs-2307-08487
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Huachuan Qiu, Shuai Zhang, Anqi Li, Hongliang He, Zhenzhong Lan:
Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models. CoRR abs/2307.08487 (2023)
[i31]
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  - journals/corr/abs-2307-15020
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Liang Xu, Anqi Li, Lei Zhu, Hang Xue, Changtai Zhu, Kangkang Zhao, Haonan He, Xuanwei Zhang, Qiyue Kang, Zhenzhong Lan:
SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark. CoRR abs/2307.15020 (2023)
[i30]
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Huachuan Qiu, Tong Zhao, Anqi Li, Shuai Zhang, Hongliang He, Zhenzhong Lan:
A Benchmark for Understanding Dialogue Safety in Mental Health Support. CoRR abs/2307.16457 (2023)
[i29]
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  - journals/corr/abs-2310-08129
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Zijie Chen, Lichao Zhang, Fangsheng Weng, Lili Pan, Zhenzhong Lan:
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting. CoRR abs/2310.08129 (2023)
[i28]
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  - journals/corr/abs-2310-19651
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Chiyu Song, Zhanchao Zhou, Jianhao Yan, Yuejiao Fei, Zhenzhong Lan, Yue Zhang:
Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace. CoRR abs/2310.19651 (2023)
[i27]
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  - journals/corr/abs-2311-09861
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Junlei Zhang, Hongliang He, Nirui Song, Shuyuan He, Shuai Zhang, Huachuan Qiu, Anqi Li, Lizhi Ma, Zhenzhong Lan:
PsyBench: a balanced and in-depth Psychological Chinese Evaluation Benchmark for Foundation Models. CoRR abs/2311.09861 (2023)
[i26]
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  - journals/corr/abs-2311-12067
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Jia Yu, Lichao Zhang, Zijie Chen, Fayu Pan, Miaomiao Wen, Yuming Yan, Fangsheng Weng, Shuai Zhang, Lili Pan, Zhenzhong Lan:
Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design. CoRR abs/2311.12067 (2023)
[i25]
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  - journals/corr/abs-2312-04262
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Huachuan Qiu, Anqi Li, Lizhi Ma, Zhenzhong Lan:
PsyChat: A Client-Centric Dialogue System for Mental Health Support. CoRR abs/2312.04262 (2023)
2022
[i24]
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  - journals/corr/abs-2203-03442
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Anqi Li, Jingsong Ma, Lizhi Ma, Pengfei Fang, Hongliang He, Zhenzhong Lan:
Towards Automated Real-time Evaluation in Text-based Counseling. CoRR abs/2203.03442 (2022)
2021
[i23]
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  - journals/corr/abs-2102-11972
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Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Févry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel:
Do Transformer Modifications Transfer Across Implementations and Applications? CoRR abs/2102.11972 (2021)
[i22]
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  - journals/corr/abs-2106-01263
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Chiyu Song, Hongliang He, Huachuan Qiu, Haofei Yu, Zhenzhong Lan:
Global-Selector: A New Benchmark Dataset and Model Architecture for Multi-turn Response Selection. CoRR abs/2106.01263 (2021)
[i21]
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  - journals/corr/abs-2106-02898
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Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang:
Dynamic Resolution Network. CoRR abs/2106.02898 (2021)
[i20]
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  - journals/corr/abs-2111-11750
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Junlei Zhang, Zhenzhong Lan:
S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding. CoRR abs/2111.11750 (2021)
2020
[i19]
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  - journals/corr/abs-2003-02436
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Noam Shazeer, Zhenzhong Lan, Youlong Cheng, Nan Ding, Le Hou:
Talking-Heads Attention. CoRR abs/2003.02436 (2020)
[i18]
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  - journals/corr/abs-2004-05986
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Liang Xu, Xuanwei Zhang, Lu Li, Hai Hu, Chenjie Cao, Weitang Liu, Junyi Li, Yudong Li, Kai Sun, Yechen Xu, Yiming Cui, Cong Yu, Qianqian Dong, Yin Tian, Dian Yu, Bo Shi, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Zhenzhong Lan:
CLUE: A Chinese Language Understanding Evaluation Benchmark. CoRR abs/2004.05986 (2020)
[i17]
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  - journals/corr/abs-2009-14308
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Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut:
Attention that does not Explain Away. CoRR abs/2009.14308 (2020)
[i16]
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  - journals/corr/abs-2010-06891
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Qingyang Wu, Zhenzhong Lan, Jing Gu, Zhou Yu:
Memformer: The Memory-Augmented Transformer. CoRR abs/2010.06891 (2020)
2019
[i15]
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  - journals/corr/abs-1909-10599
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Sebastian Goodman, Zhenzhong Lan, Radu Soricut:
Multi-stage Pretraining for Abstractive Summarization. CoRR abs/1909.10599 (2019)
[i14]
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  - journals/corr/abs-1909-11942
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Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR abs/1909.11942 (2019)
2017
[i13]
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Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann:
Deep Local Video Feature for Action Recognition. CoRR abs/1701.07368 (2017)
[i12]
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Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann:
Guided Optical Flow Learning. CoRR abs/1702.02295 (2017)
[i11]
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Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann:
Hidden Two-Stream Convolutional Networks for Action Recognition. CoRR abs/1704.00389 (2017)
[i10]
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Poyao Huang, Ye Yuan, Zhen-Zhong Lan, Lu Jiang, Alexander G. Hauptmann:
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification. CoRR abs/1707.01408 (2017)
2016
[i9]
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  - journals/corr/YuYXXMMMLLLLJHG16
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Shoou-I Yu, Yi Yang, Zhongwen Xu, Shicheng Xu, Deyu Meng, Zexi Mao, Zhigang Ma, Ming Lin, Xuanchong Li, Huan Li, Zhen-Zhong Lan, Lu Jiang, Alexander G. Hauptmann, Chuang Gan, Xingzhong Du, Xiaojun Chang:
Strategies for Searching Video Content with Text Queries or Video Examples. CoRR abs/1606.05705 (2016)
2015
[i8]
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Zhen-Zhong Lan, Xuanchong Li, Ming Lin, Alexander G. Hauptmann:
Long-short Term Motion Feature for Action Classification and Retrieval. CoRR abs/1502.04132 (2015)
[i7]
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  - journals/corr/ChengSML15
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Zhiyong Cheng, Daniel Soudry, Zexi Mao, Zhen-zhong Lan:
Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation. CoRR abs/1503.03562 (2015)
[i6]
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Zhen-Zhong Lan, Dezhong Yao, Ming Lin, Shoou-I Yu, Alexander G. Hauptmann:
The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition. CoRR abs/1505.04427 (2015)
[i5]
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Zhen-Zhong Lan, Alexander G. Hauptmann:
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition. CoRR abs/1510.04565 (2015)
[i4]
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Zhen-Zhong Lan, Shoou-I Yu, Ming Lin, Bhiksha Raj, Alexander G. Hauptmann:
Handcrafted Local Features are Convolutional Neural Networks. CoRR abs/1511.05045 (2015)
[i3]
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Zhen-Zhong Lan, Shoou-I Yu, Alexander G. Hauptmann:
Improving Human Activity Recognition Through Ranking and Re-ranking. CoRR abs/1512.03740 (2015)
2014
[i2]
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  - journals/corr/LanLH14
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Zhen-Zhong Lan, Xuanchong Li, Alexander G. Hauptmann:
Temporal Extension of Scale Pyramid and Spatial Pyramid Matching for Action Recognition. CoRR abs/1408.7071 (2014)
[i1]
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Zhen-Zhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj:
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition. CoRR abs/1411.6660 (2014)

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