AI-Driven Adversarial Fuzzing: Generating Edge-Case 3D Scenes to Stress-Test Embodied AI Pipelines

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Mining Tech Debts in AI Infrastructure Software

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Build and Optimize Your Own Coding Agent

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Benchmarking Spatial Intelligence and Physical Common Sense in Large Multimodal Models

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Towards Efficient and Accurate Multimodal Agents (II)

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Understanding and Improving Reasoning Transferability of LLMs

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Game development with MLLMs

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Advancing Spatial Intelligence and AI-Driven World Models for the Real “Brave New World”!

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Multimodal Large Language Models for UI Code Generation

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Reconciling Math and General Tokenizers for LLMs

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Can Al Agents Fit in Human Society?

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1. “Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases.,” Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu, Findings of the Association for Computational Linguistics: EMNLP 2025 (EMNLP2025), pp. 10974-10993, Suzhou, China, November 4 - 9, 2025.
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How Does Al Perceive the World?

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1. “Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models,” Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huang, Yudi Zhang, Cheng-Yi Li, Wenting Chen, Xiaohan Xing, Kao-Jung Chang, Linlin Shen, Michael R. Lyu, in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL2025), pp. 24181-24201, Vienna, Austria, July 27 - August 1, 2025.
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2. “Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models,” Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL2024), pp. 6349-6384, Bangkok, Thailand, August 11 - August 16, 2024.
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3. “An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software,” Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu, in Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE2023), pp. 1339-1351, Luxembourg City, Luxembourg, September 11 - September 15, 2023.
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4. “Validating Multimedia Content Moderation Software via Semantic Fusion,” Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu, in Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA2023), pp. 576-588, Seattle, USA, July 17 - July 21, 2023.
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Can Large Language Models Leak Your Secrets?

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1. “Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective,” Meifang Chen, Zhe Yang, Huang Nianchen, Yizhan Huang, Yichen Li, Zihan Li, Michael R. Lyu, Findings of the Association for Computational Linguistics: ACL 2026 (ACL-Findings2026), pp. 108-119, San Diego, USA, July 2 - July 7, 2026.
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2. “Data Compressibility Quantifies LLM Memorization.,” Yizhan Huang, Zhe Yang, Meifang Chen, Huang Nianchen, Jianping Zhang, Michael R. Lyu, Transactions on Machine Learning Research (TMLR), Published, 2026.
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MLLMIntruder: Exploring Safety Issues of Multimodal Large Language Models

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1. “New Job, New Gender? Measuring the Social Bias in Image Generation Models,” Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R. Lyu, in Proceedings of The 32nd ACM Multimedia Conference (ACMMM2024), pp. 3781-3789, Melbourne, Australia, October 28 - November 1, 2024.
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2. “BiasAsker: Measuring the Bias in Conversational AI System,” Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu, in Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE2023), pp. 515-527, San Francisco, USA, December 3 - December 9, 2023.
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Can Large Language Models be a Trustworthy Doctor

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1. “MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence,” Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang Su, Kao-Jung Chang, Haoliang Li, Linlin Shen, Michael R. Lyu, Wenting Chen, 39th Conference on Neural Information Processing Systems (NeurIPS2025), pp. 82804-82852, San Diego, USA, December 2 - 7, 2025.
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2. “Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models,” Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huang, Yudi Zhang, Cheng-Yi Li, Wenting Chen, Xiaohan Xing, Kao-Jung Chang, Linlin Shen, Michael R. Lyu, in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL2025), pp. 24181-24201, Vienna, Austria, July 27 - August 1, 2025.
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3. “Divide-and-Conquer: Generating UI Code from Screenshots,” Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu, In 33nd ACM International Conference on the Foundations of Software Engineering (FSE2025), pp. 2099-2122, Trondheim, Norway, June 23 - 27, 2025.
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Make Vision Pro Software Great to Use! Enhancing Extended Reality (XR) Developmentand Testing with Large Multi-Modal Models and World Models

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Testing Framework for Large Multimodal Model Through XR

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1. “All Languages Matter: On the Multilingual Safety of LLMs,” Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu, in Findings of the Association for Computational Linguistics: ACL 2024 (ACL-Findings2024), pp. 5865-5877, Bangkok, Thailand, August 11 - August 16, 2024.
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2. “An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software,” Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu, in Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE2023), pp. 1339-1351, Luxembourg City, Luxembourg, September 11 - September 15, 2023.
   Paper [SE]
   
   
3. “Validating Multimedia Content Moderation Software via Semantic Fusion,” Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu, in Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA2023), pp. 576-588, Seattle, USA, July 17 - July 21, 2023.
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Large Language Models for Code Intelligence Tasks

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Step into Metaverse with Reliable Virtual Reality Software (via AI Technologies)

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Full-Stack AI Content Creator

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Tool Learning with Foundation Models

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1. “Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models,” Wenxuan Wang, Yuk-Kit Chan, Zixuan Ling, Juluan Shi, Youliang Yuan, Jen-tse Huang, Yifei Zhang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Findings of the Association for Computational Linguistics: ACL 2026 (ACL-Findings2026), pp. 34288-34309, San Diego, USA, July 2 - July 7, 2026.
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2. “Learning to Ask: When LLM Agents Meet Unclear Instruction.,” Wenxuan Wang, Juluan Shi, Zixuan Ling, Yuk-Kit Chan, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP2025), pp. 21773-21784, Suzhou, China, November 4 - 9, 2025.
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On the Psychology of Large Language Models

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1. “Competing Large Language Models in Multi-Agent Gaming Environments,” Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu, in Proceedings of the Thirteenth International Conference on Learning Representations (ICLR2025), Accepted for Publication, Singapore, Singapore, April 24 - April 28, 2025.
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2. “Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans,” Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, In Advances in Neural Information Processing Systems 37 (NeurIPS2024), pp. 97053-97087, Vancouver, Canada, December 9 - December 15, 2024.
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3. “On the Reliability of Psychological Scales on Large Language Models,” Jen-tse Huang, Wenxiang Jiao, Man Ho Lam, Eric John Li, Wenxuan Wang, Michael R. Lyu, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. (EMNLP2024), pp. 6152-6173, Miami, USA, November 12 - November 16, 2024.
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4. “On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs,” Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, in Proceedings of the Twelfth International Conference on Learning Representations (ICLR2024), pp. 1-24, Vienna, Austria, May 7 - May 11, 2024.
   ICLR 2024 Oral Presentation (86/7404, 1.16%)
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Evaluation of Multimodal Models: Assesing Performance and Finding Improvements

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Step into Metaverse with Virtual Reality Software

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JARVIS: User-Defined Postures Detection for Smart Home

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Build Your Own Chatbot

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Toward the Reliability of Dialogue System

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1. “Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification,” Yuxuan Wan, Tianqing Fang, Zaitang LI, Yintong Huo, Wenxuan Wang, Haitao Mi, Dong Yu, Michael R. Lyu, Findings of the Association for Computational Linguistics: ACL 2026 (ACL-Findings2026), pp. 24822-24835, San Diego, USA, July 2 - July 7, 2026.
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2. “EfficientUICoder: A Bidirectional Token Compression Framework for Efficient MLLM-Based UI Code Generation,” Jingyu Xiao, Zhongyi Zhang, Yuxuan Wan, Yintong Huo, Yang Liu, Michael R. Lyu, Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering (FSE2026), pp. 2396-2418, Montreal, Canada, July 5 - 9, 2026.
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3. “90% Faster, 100% Code-Free: MLLM-Driven Zero-Code 3D Game Development,” Runxin Yang, Yuxuan Wan, Shuqing Li, Michael R. Lyu, Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering (FSE-IVR2026), pp. 1381-1385, Montreal, Canada, July 5 - 9, 2026.
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4. “Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping,” Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zixin Wang, Xinyi Xu, Wenxuan Wang, Zhiyao Xu, Yuhang Wang, Michael R. Lyu, in Proceedings of the 40th International Conference on Automated Software Engineering (ASE2025), pp. 241-253, Seoul, South Korea, November 16 - 20, 2025.
   Paper [SE]
   
   
5. “Divide-and-Conquer: Generating UI Code from Screenshots,” Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu, In 33nd ACM International Conference on the Foundations of Software Engineering (FSE2025), pp. 2099-2122, Trondheim, Norway, June 23 - 27, 2025.
   Paper [SE]
   
   
6. “LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models,” Yuxuan Wan, Wenxuan Wang, Wenxiang Jiao, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Michael R. Lyu, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. (EMNLP2024), pp. 2124-2155, Miami, USA, November 12 - November 16, 2024.
   Paper [ML]
   
   
7. “New Job, New Gender? Measuring the Social Bias in Image Generation Models,” Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R. Lyu, in Proceedings of The 32nd ACM Multimedia Conference (ACMMM2024), pp. 3781-3789, Melbourne, Australia, October 28 - November 1, 2024.
   Paper [MM]
   
   
8. “BiasAsker: Measuring the Bias in Conversational AI System,” Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu, in Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE2023), pp. 515-527, San Francisco, USA, December 3 - December 9, 2023.
   Paper [SE]
   
   

Machine Learning Assisted Cantopop Lyric Composition

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Betting Odds Calculation by Machine Learning

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Bandits Algorithm, Reinformance Learning, and Horse Racing Result Prediction

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Improving the Quality of Adversarial Examples in Natural Language Processing

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Study Neural Architecture Search (NAS) with Microsoft “Petridish”

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Applying Reinforcement Learning to “Play” Horse Racing

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“BuddyChain”: A Messaging System Based on Six Degrees of Separation

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Open Topic in Machine Learning

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Anonymous Online Course Evaluation

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Collaborative Fact Check: Power of the Crowd

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Exploiting Betting Odds Using Machine Learning

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CUHK Mortar War: A Mixed Reality Online Mobile Game

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Mining What Developers Are Talking about Deep Learning

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BotanWik

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Opensource eVoting System for 8 Million Mobiles Devices

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A Time Synchronization Protocol Based on Distributed Network

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Horse Racing Prediction using Deep Probabilistic Programming with Python and PyTouch (Uber Pyro)

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BotanWik II

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Applying Modern Reinforcement Learning to Play Video Games

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Augmented Reality Game with Tango

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Predicting Horse Racing Result with Machine Learning

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Using Deep Learning for Breast Cancer Diagnosis

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Intelligent Non-Player Character with Deep Learning Demo 1

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Visual Question Answering with Deep Learning

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Predicting Horse Racing Result Using TensorFlow

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Research in Collective Intelligence through Horse Racing in Hong Kong

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Student Assistance System By CU Link Card

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Indoor Guidance Application Demo 1 Demo 2

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iRoom: Smart Exhibition Area

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Virtual Notice Board

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AndroidCopter

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Indoor Location Service with iBeacon

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Exhibition Navigation with iBeacon Demo 1 Demo 2

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Mobile Application Using NFC

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Perceptual Application Development Using Intel Perceptual Computing SDK

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Real-Time Morse Code Communication App

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3D Dance Head Using Kinect and 3D Projector

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vPresent: Collaborative Presentation on Mobile Devices

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A Mobile Assisted Localization Scheme for Augmented Reality

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Research on Tablet: Tablet Apps for Supporting Research Activity

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Digital Interactive Game Interface Table Apps for iPad

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iSurveillance

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Comic Panel Extractor and Viewer for Enhancing Accessibility on iOS4 Demo 1

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Cloud Computing Technologies and Applications

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Unleashing Brain Powers: A Study on Development of BCI-Enhanced Computer Games Demo 1

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OC Form Trajectory Tracking Using Video Camera Array (VICAR)

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Network View Dependant Rendering Computer Game

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HDTV Transport Stream File Purifying Tool

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Buddy Internet Exchange (BIX)

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Legendary of 18 Weapons, Motion Capture Data Analysis for Wii Remote

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Parallel Distributed Programming on PS3

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Automatic “PhotoHunt” Generation on Mobile Phone

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“Tele-Boxing”: Eye-Toy-Like Network Game on “TeleStation”

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Virtual Dart: An Augmented Reality Game on Mobile Devise

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P2P Digital TV Recorder

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Panorama On Symbian Demo 1 Demo 2

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P2P Digital TV Recorder

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Location-Based Multimedia Mobile Service

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Augmented Reality Table for Interactive Card Games

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Mobile Motion Tracking Using Onboard Camera

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Secure and Reliable PDA-Based Communication System Demo 1

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PVCAIS: Personal Video Conference Archives Indexing System Demo 1

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Video Object Tracking and Replacement for post TV Production Demo 1

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An Innovative Wireless PDA Application/Game

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Advanced Audio Information Retrieval System

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Smart Traveler with Visual Translator

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Bluetooth Data Access Points for PDA with Security and QoS

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XML for Interoperable Digital Video Library

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Speech Recognition Techniques for Digital Video Library

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Wireless-Based Mobile E-Commerce on the Web

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Wireless Cyber Campus

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Mobile Agent Techniques for Secure E-Commerce Applications

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Travel Net Demo 1

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Wireless Campus Demo 1

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Quality of Service (QoS) Schemes in Wireless Networks Demo 1

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Multi-Modal Digital Video Library Demo 1

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Security in Muti-Agent E-Commerce Demo 1

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TradeNet: Web-Based Trading Center Demo 1

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Quality of Service in Communication Networks Demo 1

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Caching Techniques for Web Servers

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MWPS: Multimedia Web Presentation System Demo 1

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