Ching Law

According to our database, Ching Law authored at least 32 papers between 2000 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

KD-CVG: A Knowledge-Driven Approach for Creative Video Generation.

Linkai Liu, Wei Feng, Xi Zhao, Shen Zhang, Xingye Chen, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Yuchen Zhou, Zipeng Guo, Chao Gou

CoRR, April, 2026

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing.

Linghui Meng, Chun Gan, Shengsheng Niu, Chengcheng Zhang, Chenchen Li, Chuan Yang, Yi Mao, Xin Zhu, Jie He, Zhangang Lin, Ching Law

CoRR, April, 2026

InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation.

Yuxin Qin, Ke Cao, Haowei Liu, Ao Ma, Fengheng Li, Honghe Zhu, Zheng Zhang, Run Ling, Wei Feng, Xuanhua He, Zhanjie Zhang, Zhen Guo, Haoyi Bian, Jingjing Lv, Junjie Shen, Ching Law

CoRR, March, 2026

One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation.

Shuo Lu, Haohan Wang, Wei Feng, Weizhen Wang, Shen Zhang, Yaoyu Li, Ao Ma, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Bing Zhan, Yuan Xu, Huizai Yao, Yongcan Yu, Chenyang Si, Jian Liang

CoRR, February, 2026

GCRank: A Generative Contextual Comprehension Paradigm for Takeout Ranking Model.

Ziheng Ni, Congcong Liu, Cai Shang, Yiming Sun, Junjie Li, Zhiwei Fang, Guangpeng Chen, Jian Li, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

CoRR, January, 2026

Think Then Recommend: An LLM-Powered Multi-Agent Framework for Personalized Conversational Recommender System in E-Commerce.

Yuankun Zu, Xiangyu Cai, Chuchu Yu, Hao Peng, Jia Duan, Long Chen, Kunyao Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law

Proceedings of the ACM Web Conference 2026, 2026

A Generative Contextual Comprehension Paradigm for Takeout Ranking Model.

Ziheng Ni, Congcong Liu, Cai Shang, Yiming Sun, Junjie Li, Zhiwei Fang, Guangpeng Chen, Li Jian, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

Proceedings of the ACM Web Conference 2026, 2026

Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification.

Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai

Proceedings of the ACM Web Conference 2026, 2026

MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation.

Run Ling, Ke Cao, Jian Lu, Ao Ma, Haowei Liu, Runze He, Changwei Wang, Rongtao Xu, Yihua Shao, Zhanjie Zhang, Peng Wu, Guibing Guo, Wei Feng, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Xingwei Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

AutoPP: Towards Automated Product Poster Generation and Optimization.

Jiahao Fan, Yuxin Qin, Wei Feng, Yanyin Chen, Yaoyu Li, Ao Ma, Yixiu Li, Li Zhuang, Haoyi Bian, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AutoPP: Towards Automated Product Poster Generation and Optimization.

Jiahao Fan, Yuxin Qin, Wei Feng, Yanyin Chen, Yaoyu Li, Ao Ma, Yixiu Li, Li Zhuang, Haoyi Bian, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law

CoRR, December, 2025

Generative Modeling with Multi-Instance Reward Learning for E-commerce Creative Optimization.

Qiaolei Gu, Yu Li, DingYi Zeng, Lu Wang, Ming Pang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

CoRR, August, 2025

Generative Click-through Rate Prediction with Applications to Search Advertising.

Lingwei Kong, Lu Wang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

CoRR, July, 2025

An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking.

Xuanlin Li, Xiangyu Cai, Hao Peng, Jia Duan, Wei Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Post-event Modeling via Causal Optimal Transport for CTR Prediction.

Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Stream Normalization for CTR Prediction.

Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation.

Shuo Lu, Yanyin Chen, Wei Feng, Jiahao Fan, Fengheng Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Jian Liang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

UniERF: A Uniform Embedding-based Retrieval Framework for E-commerce Search.

Hao Jiang, Xiaoyu He, Fanyi Qu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction.

Ziheng Ni, Congcong Liu, Yuying Chen, Zhiwei Fang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SMTIR: Scenario-Aware Multi-Trigger Induction Network for CTR Prediction.

Xuan Ma, Yu Shi, Hao Peng, Jia Duan, Zhanhao Ye, Kunyao Wang, Kai Yan, Long Chen, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

A Semi-supervised Scalable Unified Framework for E-commerce Query Classification.

Chunyuan Yuan, Chong Zhang, Zheng Fang, Ming Pang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2016

Profiling Users from Online Social Behaviors with Applications for Tencent Social Ads.

Ching Law

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Peacock: Learning Long-Tail Topic Features for Industrial Applications.

Yi Wang, Xuemin Zhao, Zhenlong Sun, Hao Yan, Lifeng Wang, Zhihui Jin, Liubin Wang, Yang Gao, Ching Law, Jia Zeng

ACM Trans. Intell. Syst. Technol., 2015

2014

Towards Topic Modeling for Big Data.

Yi Wang, Xuemin Zhao, Zhenlong Sun, Hao Yan, Lifeng Wang, Zhihui Jin, Liubin Wang, Yang Gao, Jia Zeng, Qiang Yang, Ching Law

CoRR, 2014

2004

Distributed algorithms for dynamic topology construction and their applications.

Ching Law

PhD thesis, 2004

2003

A New Bluetooth Scatternet Formation Protocol.

Ching Law, Amar K. Mehta, Kai-Yeung Siu

Mob. Networks Appl., 2003

Distributed Construction of Random Expander Networks.

Ching Law, Kai-Yeung Siu

Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003

2001

Performance of a new Bluetooth scatternet formation protocol.

Ching Law, Amar K. Mehta, Kai-Yeung Siu

Proceedings of the 2nd ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2001

A Bluetooth scatternet formation algorithm.

Ching Law, Kai-Yeung Siu

Proceedings of the Global Telecommunications Conference, 2001

2000

Online routing and wavelength assignment in single-hub WDM rings.

Ching Law, Kai-Yeung Siu

IEEE J. Sel. Areas Commun., 2000

A New Competitive Analysis of Randomized Caching.

Ching Law, Charles E. Leiserson

Proceedings of the Algorithms and Computation, 11th International Conference, 2000

Efficient memoryless protocol for tag identification.

Ching Law, Kayi Lee, Kai-Yeung Siu

Proceedings of the 4th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications (DIAL-M 2000), 2000