Lichao Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
90
Venues
30
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*AAAI9 papers
- A*EMNLP8 papers
- A*ICLR8 papers
- A*IJCAI7 papers
- ACIKM6 papers
- A*ICML5 papers
- A*ACL4 papers
- A*KDD4 papers
- A*WWW4 papers
- A*CVPR4 papers
- ANAACL4 papers
- A*ICCV3 papers
- AMICCAI3 papers
- A*CCS2 papers
- A*ECCV2 papers
- A*SIGIR2 papers
- AWSDM2 papers
- AAIED1 paper
- A*NDSS1 paper
- BIJCNLP1 paper
- A*SP1 paper
- AACSAC1 paper
- BICPR1 paper
- ASDM1 paper
- BISIT1 paper
- A*ICDM1 paper
- BCOLING1 paper
- A*ICDE1 paper
- AICDCS1 paper
- CSecureComm1 paper
Papers
90 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions. | Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun |
| 2026 | AAAI | 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation. | Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun |
| 2026 | ACL | SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator. | Xueyang Zhou, Weidong Wang, Lin Lu, Jiawen Shi, Guiyao Tie, Yongtian Xu, Lixing Chen, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun |
| 2026 | AIED | Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math. | Dingjie Song, Tianlong Xu, Yifan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun, Qingsong Wen |
| 2026 | KDD | Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models. | Yixin Liu, Ruoxi Chen, Xun Chen, Lichao Sun |
| 2026 | NDSS | Prompt Injection Attack to Tool Selection in LLM Agents. | Jiawen Shi, Zenghui Yuan, Guiyao Tie, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun |
| 2026 | WWW | BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Model. | Xiaoyu Ma, Zhengqing Yuan, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye |
| 2025 | ACL | Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models. | Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun |
| 2025 | CIKM | Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings. | Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang |
| 2025 | CVPR | BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models. | Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun |
| 2025 | EMNLP | Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM. | Dingjie Song, Sicheng Lai, Mingxuan Wang, Shunian Chen, Lichao Sun, Benyou Wang |
| 2025 | EMNLP | LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture. | Xidong Wang, Dingjie Song, Shunian Chen, Junying Chen, Zhenyang Cai, Chen Zhang, Lichao Sun, Benyou Wang |
| 2025 | ICCV | TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention. | Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2025 | ICCV | LlaVA-CoT: Let Vision Language Models Reason Step-By-Step. | Guowei Xu, Peng Jin, Ziang Wu, Hao Li, Yibing Song, Lichao Sun, Li Yuan |
| 2025 | ICLR | GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding. | Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun |
| 2025 | ICLR | DataGen: Unified Synthetic Dataset Generation via Large Language Models. | Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang |
| 2025 | ICLR | Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. | Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao |
| 2025 | ICLR | BenTo: Benchmark Reduction with In-Context Transferability. | Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou |
| 2025 | ICML | XAttnMark: Learning Robust Audio Watermarking with Cross-Attention. | Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli |
| 2025 | IJCNLP | EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation. | Kai Zhang, Christopher Malon, Lichao Sun, Martin Renqiang Min |
| 2025 | MICCAI | SAMed-2: Selective Memory Enhanced Medical Segment Anything Model. | Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou, Weixiang Sun, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun |
| 2025 | NAACL | FinLLM-B: When Large Language Models Meet Financial Breakout Trading. | Kang Zhang, Osamu Yoshie, Lichao Sun, Weiran Huang |
| 2025 | SP | Harmonycloak: Making Music Unlearnable for Generative AI. | Syed Irfan Ali Meerza, Lichao Sun, Jian Liu |
| 2024 | AAAI | Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. | Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun |
| 2024 | AAAI | Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. | Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao |
| 2024 | ACL | AlignBench: Benchmarking Chinese Alignment of Large Language Models. | Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2024 | ACSAC | FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. | Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang |
| 2024 | CCS | Optimization-based Prompt Injection Attack to LLM-as-a-Judge. | Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong |
| 2024 | CVPR | MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. | Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun |
| 2024 | CVPR | ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. | Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2024 | CVPR | Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World. | Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun |
| 2024 | ECCV | EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models. | Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun |
| 2024 | ECCV | Adapting Large Language Model for Cross-Subject Semantic Decoding from Video-Stimulated fMRI. | Ruizhe Zheng, Lichao Sun |
| 2024 | EMNLP | CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. | Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun |
| 2024 | EMNLP | 1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? | Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun |
| 2024 | EMNLP | SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding. | Ryan Sun, Tianyi Zhou, Xun Chen, Lichao Sun |
| 2024 | EMNLP | Virtual Context Enhancing Jailbreak Attacks with Special Token Injection. | Yuqi Zhou, Lin Lu, Ryan Sun, Pan Zhou, Lichao Sun |
| 2024 | ICLR | MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. | Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun |
| 2024 | ICML | MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark. | Dongping Chen, Ruoxi Chen, Shilin Zhang, Yaochen Wang, Yinuo Liu, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun |
| 2024 | ICML | Improving Interpretation Faithfulness for Vision Transformers. | Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. | Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang |
| 2024 | ICPR | Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement. | Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree B. Aithal, Nikhil Ambha Madhusudhana, John W. Nicholson, Lichao Sun, Brian D. Davison |
| 2024 | KDD | FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. | Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He |
| 2024 | MICCAI | Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. | Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li |
| 2024 | MICCAI | Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. | Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li |
| 2024 | NAACL | ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. | Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu |
| 2024 | NAACL | LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? | Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang, Zhenyang Sun, Shilin Zhang, Weiye Li, Zhengyan Fu, Yao Wan, Lichao Sun |
| 2024 | WWW | From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. | Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun |
| 2024 | WWW | Lecture-style Tutorial: Towards Graph Foundation Models. | Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu |
| 2024 | SDM | Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. | Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang |
| 2023 | AAAI | Tackling Data Heterogeneity in Federated Learning with Class Prototypes. | Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu |
| 2023 | AAAI | SEAT: Stable and Explainable Attention. | Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang |
| 2023 | AAAI | PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. | Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun |
| 2023 | CIKM | Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. | Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu |
| 2023 | ICCV | Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. | Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun |
| 2023 | ICLR | SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. | Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu |
| 2023 | ICLR | Transferable Unlearnable Examples. | Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang |
| 2023 | IJCAI | RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. | Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen |
| 2023 | ISIT | Secure Embedding Aggregation for Federated Representation Learning. | Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun |
| 2023 | KDD | PASS: Personalized Advertiser-aware Sponsored Search. | Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang |
| 2023 | WWW | Attacking Fake News Detectors via Manipulating News Social Engagement. | Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu |
| 2023 | SIGIR | End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. | Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang |
| 2023 | WSDM | Scalable Adversarial Attack Algorithms on Influence Maximization. | Lichao Sun, Xiaobin Rui, Wei Chen |
| 2022 | AAAI | SplitFed: When Federated Learning Meets Split Learning. | Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun |
| 2022 | ACL | Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. | Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang |
| 2022 | CIKM | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | EMNLP | Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. | Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun |
| 2022 | EMNLP | Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. | Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong |
| 2022 | ICLR | How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. | Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun |
| 2022 | IJCAI | Membership Inference via Backdooring. | Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang |
| 2022 | IJCAI | Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. | Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun |
| 2021 | CCS | This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration. | Michalis Diamantaris, Serafeim Moustakas, Lichao Sun, Sotiris Ioannidis, Jason Polakis |
| 2021 | CIKM | Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. | Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun |
| 2021 | CIKM | DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. | Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu |
| 2021 | ICDM | Source Inference Attacks in Federated Learning. | Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang |
| 2021 | IJCAI | Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. | Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He |
| 2021 | IJCAI | Federated Model Distillation with Noise-Free Differential Privacy. | Lichao Sun, Lingjuan Lyu |
| 2021 | IJCAI | LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. | Lichao Sun, Jianwei Qian, Xun Chen |
| 2021 | IJCAI | Secure Deep Graph Generation with Link Differential Privacy. | Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun |
| 2021 | NAACL | Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! | Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu |
| 2021 | SIGIR | User Preference-aware Fake News Detection. | Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun |
| 2020 | COLING | Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. | Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He |
| 2020 | ICDE | Target Privacy Preserving for Social Networks. | Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen |
| 2020 | WSDM | Influence Maximization with Spontaneous User Adoption. | Lichao Sun, Albert C. Chen, Philip S. Yu, Wei Chen |
| 2019 | AAAI | Private Model Compression via Knowledge Distillation. | Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu |
| 2018 | ICDCS | Deep Learning towards Mobile Applications. | Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu |
| 2018 | KDD | Multi-Round Influence Maximization. | Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen |
| 2017 | CIKM | Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services. | Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu |
| 2016 | SecureComm | DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware. | Zhiqiang Li, Lichao Sun, Qiben Yan, Witawas Srisa-an, Zhenxiang Chen |