Tianhao Wang - RankMe

115 papers A* 36A 5Misc 1Journal 65Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentially Private Wireless Federated Learning Using Orthogonal Sequences. IEEE Trans. Inf. Theory Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2026	J	`jnl`	From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum. CoRR Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
2026	J	`jnl`	HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings. CoRR Xiaochen Li, Fengyu Gao, Xizixiang Wei, Tianhao Wang, Cong Shen, Jing Yang
2025	J	`jnl`	Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis]. Proc. ACM Manag. Data Kai Chen, Xiaochen Li, Chen Gong, Ryan McKenna, Tianhao Wang
2025	J	`jnl`	Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis. CoRR Kai Chen, Chen Gong, Tianhao Wang
2025	A*	`conf`	Black-box Membership Inference Attacks against Fine-tuned Diffusion Models. NDSS Yan Pang, Tianhao Wang
2025	A*	`conf`	DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis. CCS Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
2025	J	`jnl`	DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis. CoRR Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
2025	A*	`conf`	Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning. ICLR Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang
2025	A*	`conf`	Delay-allowed Differentially Private Data Stream Release. NDSS Xiaochen Li, Zhan Qin, Kui Ren, Chen Gong, Shuya Feng, Yuan Hong, Tianhao Wang
2025	A*	`conf`	From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. SP Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2025	J	`jnl`	From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. CoRR Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2025	J	`jnl`	Network-Aware Differential Privacy. CoRR Zhou Li, Yu Zheng, Tianhao Wang, Sang-Woo Jun
2025	J	`jnl`	PrivCode: When Code Generation Meets Differential Privacy. CoRR Zheng Liu, Chen Gong, Terry Yue Zhuo, Kecen Li, Weichen Yu, Matt Fredrikson, Tianhao Wang
2025	A*	`conf`	Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run. USENIX Security Symposium Zihang Xiang, Tianhao Wang, Di Wang
2025	J	`jnl`	Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run. CoRR Zihang Xiang, Tianhao Wang, Di Wang
2025	A*	`conf`	Revisiting EM-based Estimation for Locally Differentially Private Protocols. NDSS Yutong Ye, Tianhao Wang, Min Zhang, Dengguo Feng
2025	J	`jnl`	SPAS: Continuous Release of Data Streams under w-Event Differential Privacy. Proc. ACM Manag. Data Xiaochen Li, Tianyu Li, Yitian Cheng, Chen Gong, Kui Ren, Zhan Qin, Tianhao Wang
2025	J	`jnl`	Tight Privacy Audit in One Run. CoRR Zihang Xiang, Tianhao Wang, Hanshen Xiao, Yuan Tian, Di Wang
2025	A*	`conf`	Towards Understanding Unsafe Video Generation. NDSS Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang
2025	A*	`conf`	TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents. NDSS Chen Gong, Kecen Li, Jin Yao, Tianhao Wang
2025	J	`jnl`	White-box Membership Inference Attacks against Diffusion Models. Proc. Priv. Enhancing Technol. Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
2024	A*	`conf`	Backdoor Attacks via Machine Unlearning. AAAI Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	A*	`conf`	Benchmarking Secure Sampling Protocols for Differential Privacy. CCS Yucheng Fu, Tianhao Wang
2024	J	`jnl`	Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning. CoRR Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang
2024	J	`jnl`	Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Yuhan Liu, Tianhao Wang, Yixuan Liu, Hong Chen, Cuiping Li
2024	J	`jnl`	ExpShield: Safeguarding Web Text from Unauthorized Crawling and Language Modeling Exploitation. CoRR Ruixuan Liu, Toan Tran, Tianhao Wang, Hongsheng Hu, Shuo Wang, Li Xiong
2024	—	`conf`	Machine Unlearning of Pre-trained Large Language Models. ACL (1) Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
2024	J	`jnl`	Machine Unlearning of Pre-trained Large Language Models. CoRR Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
2024	A	`conf`	NetDPSyn: Synthesizing Network Traces under Differential Privacy. IMC Danyu Sun, Joann Qiongna Chen, Chen Gong, Tianhao Wang, Zhou Li
2024	J	`jnl`	NetDPSyn: Synthesizing Network Traces under Differential Privacy. CoRR Danyu Sun, Joann Qiongna Chen, Chen Gong, Tianhao Wang, Zhou Li
2024	A*	`conf`	PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CCS Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
2024	J	`jnl`	PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CoRR Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
2024	A*	`conf`	Preserving Node-level Privacy in Graph Neural Networks. SP Zihang Xiang, Tianhao Wang, Di Wang
2024	A*	`conf`	PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining. USENIX Security Symposium Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2024	J	`jnl`	Towards Understanding Unsafe Video Generation. CoRR Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang
2024	J	`jnl`	TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents. CoRR Chen Gong, Kecen Li, Jin Yao, Tianhao Wang
2024	J	`jnl`	VGMShield: Mitigating Misuse of Video Generative Models. CoRR Yan Pang, Yang Zhang, Tianhao Wang
2023	A*	`conf`	A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. USENIX Security Symposium Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang
2023	J	`jnl`	A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. CoRR Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang
2023	J	`jnl`	A Somewhat Robust Image Watermark against Diffusion-based Editing Models. CoRR Mingtian Tan, Tianhao Wang, Somesh Jha
2023	J	`jnl`	Black-box Membership Inference Attacks against Fine-tuned Diffusion Models. CoRR Yan Pang, Tianhao Wang
2023	A*	`conf`	DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. CCS Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun
2023	J	`jnl`	DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. CoRR Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun
2023	A	`conf`	Differentially Private Resource Allocation. ACSAC Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li
2023	J	`jnl`	Differentially Private Vertical Federated Clustering. Proc. VLDB Endow. Zitao Li, Tianhao Wang, Ninghui Li
2023	J	`jnl`	Differentially Private Wireless Federated Learning Using Orthogonal Sequences. CoRR Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2023	A*	`conf`	FACE-AUDITOR: Data Auditing in Facial Recognition Systems. USENIX Security Symposium Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
2023	J	`jnl`	FACE-AUDITOR: Data Auditing in Facial Recognition Systems. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
2023	—	`conf`	FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences. ICC Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2023	A*	`conf`	GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces. NeurIPS Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng, Tianhao Wang, David E. Evans
2023	J	`jnl`	GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces. CoRR Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng, Tianhao Wang, David Evans
2023	A*	`conf`	Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang
2023	J	`jnl`	Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning. CoRR Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem
2023	J	`jnl`	Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query. CoRR Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2023	A	`conf`	Mitigating Membership Inference Attacks via Weighted Smoothing. ACSAC Mingtian Tan, Xiaofei Xie, Jun Sun, Tianhao Wang
2023	J	`jnl`	PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols. ACM Comput. Surv. Fabrizio Cicala, Weicheng Wang, Tianhao Wang, Ninghui Li, Elisa Bertino, Faming Liang, Yang Yang
2023	J	`jnl`	Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems. CoRR Debopam Sanyal, Jui-Tse Hung, Manav Agrawal, Prahlad Jasti, Shahab Nikkhoo, Somesh Jha, Tianhao Wang, Sibin Mohan, Alexey Tumanov
2023	J	`jnl`	Practical Differentially Private and Byzantine-resilient Federated Learning. CoRR Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
2023	J	`jnl`	Practical Differentially Private and Byzantine-resilient Federated Learning. Proc. ACM Manag. Data Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
2023	J	`jnl`	Preserving Node-level Privacy in Graph Neural Networks. CoRR Zihang Xiang, Tianhao Wang, Di Wang
2023	A*	`conf`	PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models. USENIX Security Symposium Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
2023	A*	`conf`	Securely Sampling Discrete Gaussian Noise for Multi-Party Differential Privacy. CCS Chengkun Wei, Ruijing Yu, Yuan Fan, Wenzhi Chen, Tianhao Wang
2023	J	`jnl`	White-box Membership Inference Attacks against Diffusion Models. CoRR Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
2022	A*	`conf`	An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. EMNLP Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Differentially Private Vertical Federated Clustering. CoRR Zitao Li, Tianhao Wang, Ninghui Li
2022	A*	`conf`	Federated Boosted Decision Trees with Differential Privacy. CCS Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha
2022	J	`jnl`	Federated Boosted Decision Trees with Differential Privacy. CoRR Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha
2022	A*	`conf`	Graph Unlearning. CCS Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2022	A*	`conf`	Locally Differentially Private Sparse Vector Aggregation. SP Mingxun Zhou, Tianhao Wang, T.-H. Hubert Chan, Giulia Fanti, Elaine Shi
2022	J	`jnl`	Memorization in NLP Fine-tuning Methods. CoRR Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick
2022	Misc	`conf`	PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data. SenSys Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell
2022	J	`jnl`	PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. CoRR Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
2022	J	`jnl`	Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision. CoRR Aiping Xiong, Chuhao Wu, Tianhao Wang, Robert W. Proctor, Jeremiah Blocki, Ninghui Li, Somesh Jha
2021	—	`—`	Analyzing Sensitive Data with Local Differential Privacy Tianhao Wang
2021	A*	`conf`	Continuous Release of Data Streams under both Centralized and Local Differential Privacy. CCS Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha
2021	J	`jnl`	DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. CoRR Ninghui Li, Zhikun Zhang, Tianhao Wang
2021	J	`jnl`	DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. J. Priv. Confidentiality Tianhao Wang, Ninghui Li, Zhikun Zhang
2021	—	`conf`	Differential Privacy for Text Analytics via Natural Text Sanitization. ACL/IJCNLP (Findings) Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow
2021	J	`jnl`	Differential Privacy for Text Analytics via Natural Text Sanitization. CoRR Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow
2021	J	`jnl`	Graph Unlearning. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2021	J	`jnl`	Locally Differentially Private Heavy Hitter Identification. IEEE Trans. Dependable Secur. Comput. Tianhao Wang, Ninghui Li, Somesh Jha
2021	J	`jnl`	Locally Differentially Private Sparse Vector Aggregation. CoRR Mingxun Zhou, Tianhao Wang, T.-H. Hubert Chan, Giulia Fanti, Elaine Shi
2021	—	`conf`	MGD: A Utility Metric for Private Data Publication. NSysS Zitao Li, Trung Dang, Tianhao Wang, Ninghui Li
2021	A*	`conf`	PrivSyn: Differentially Private Data Synthesis. USENIX Security Symposium Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2021	A*	`conf`	When Machine Unlearning Jeopardizes Privacy. CCS Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2020	J	`jnl`	Answering Multi-Dimensional Range Queries under Local Differential Privacy. CoRR Jianyu Yang, Tianhao Wang, Ninghui Li, Xiang Cheng, Sen Su
2020	J	`jnl`	Answering Multi-Dimensional Range Queries under Local Differential Privacy. Proc. VLDB Endow. Jianyu Yang, Tianhao Wang, Ninghui Li, Xiang Cheng, Sen Su
2020	J	`jnl`	Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. Proc. VLDB Endow. Min Xu, Bolin Ding, Tianhao Wang, Jingren Zhou
2020	J	`jnl`	Continuous Release of Data Streams under both Centralized and Local Differential Privacy. CoRR Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha
2020	—	`conf`	Estimating Numerical Distributions under Local Differential Privacy. SIGMOD Conference Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Ninghui Li, Boris Skoric
2020	J	`jnl`	Improving Utility and Security of the Shuffler-based Differential Privacy. Proc. VLDB Endow. Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha
2020	A*	`conf`	Locally Differentially Private Frequency Estimation with Consistency. NDSS Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li
2020	J	`jnl`	PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols. CoRR Fabrizio Cicala, Weicheng Wang, Tianhao Wang, Ninghui Li, Elisa Bertino, Faming Liang, Yang Yang
2020	J	`jnl`	PrivSyn: Differentially Private Data Synthesis. CoRR Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2020	A*	`conf`	Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension. SP Aiping Xiong, Tianhao Wang, Ninghui Li, Somesh Jha
2020	J	`jnl`	Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension. CoRR Aiping Xiong, Tianhao Wang, Ninghui Li, Somesh Jha
2020	J	`jnl`	When Machine Unlearning Jeopardizes Privacy. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2019	—	`conf`	Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD Conference Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha
2019	J	`jnl`	Consistent and Accurate Frequency Oracles under Local Differential Privacy. CoRR Tianhao Wang, Zitao Li, Ninghui Li, Milan Lopuhaä-Zwakenberg, Boris Skoric
2019	J	`jnl`	DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. Proc. VLDB Endow. Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang
2019	J	`jnl`	Estimating Numerical Distributions under Local Differential Privacy. CoRR Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li
2019	A	`conf`	Koinonia: verifiable e-voting with long-term privacy. ACSAC Huangyi Ge, Sze Yiu Chau, Victor E. Gonsalves, Huian Li, Tianhao Wang, Xukai Zou, Ninghui Li
2019	J	`jnl`	Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. CoRR Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha
2018	A*	`conf`	CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy. CCS Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen
2018	A*	`conf`	Locally Differentially Private Frequent Itemset Mining. IEEE Symposium on Security and Privacy Tianhao Wang, Ninghui Li, Somesh Jha
2018	—	`conf`	Privacy at Scale: Local Differential Privacy in Practice. SIGMOD Conference Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang
2017	J	`jnl`	Locally Differentially Private Heavy Hitter Identification. CoRR Tianhao Wang, Ninghui Li, Somesh Jha
2017	A*	`conf`	Locally Differentially Private Protocols for Frequency Estimation. USENIX Security Symposium Tianhao Wang, Jeremiah Blocki, Ninghui Li, Somesh Jha
2017	J	`jnl`	Optimizing Locally Differentially Private Protocols. CoRR Tianhao Wang, Jeremiah Blocki, Ninghui Li, Somesh Jha
2016	A*	`conf`	On the Security and Usability of Segment-based Visual Cryptographic Authentication Protocols. CCS Tianhao Wang, Huangyi Ge, Omar Chowdhury, Hemanta K. Maji, Ninghui Li
2016	A	`conf`	Secure Dynamic SSE via Access Indistinguishable Storage. AsiaCCS Tianhao Wang, Yunlei Zhao
2015	J	`jnl`	Weight Balancing on Boundaries and Skeletons. CoRR Luis Barba, Otfried Cheong, Jean-Lou De Carufel, Michael Gene Dobbins, Rudolf Fleischer, Akitoshi Kawamura, Matias Korman, Yoshio Okamoto, János Pach, Yuan Tang, Takeshi Tokuyama, Sander Verdonschot, Tianhao Wang
2014	A*	`conf`	Weight Balancing on Boundaries and Skeletons. SoCG Luis Barba, Otfried Cheong, Jean-Lou De Carufel, Michael Gene Dobbins, Rudolf Fleischer, Akitoshi Kawamura, Matias Korman, Yoshio Okamoto, János Pach, Yuan Tang, Takeshi Tokuyama, Sander Verdonschot, Tianhao Wang