Publications

Below is a list of recent publications by members of the EconCS group at Rutgers in conferences or journals. EconCS group members' names are underlined in author lists.

• Six Candidates Suffice to Win a Voter Majority
  Moses Charikar, Alexandra Lassota, Prasanna Ramakrishnan, Adrian Vetta, Kangning Wang
  STOC 2025
• Multi-Parameter Mechanisms for Consumer Surplus Maximization
  Tomer Ezra, Daniel Schoepflin, Ariel Shaulker
  STOC 2025
• Hardness and Approximation Algorithms for Balanced Districting Problems
  Prathamesh Dharangutte, Jie Gao, Shang-En Huang, Fang-Yi Yu
  FORC 2025
• Strong Equilibria in Bayesian Games with Bounded Group Size
  Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
  WWW 2025
• On Learning Informative Trajectory Embeddings for Imitation
  Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham
  AAMAS 2025
• Maximizing Truth Learning in a Social Network is NP-hard
  Filip Uradnik, Amanda Wang, Jie Gao
  AAMAS 2025
• EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
  Sam Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Lizhou Fan, Yongfeng Zhang
  NAACL 2025
• Differentially Private Range Queries with Correlated Input Perturbation
  Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang
  AISTATS 2025
• From Commands to Prompts: LLM-based Semantic File System for AIOS
  Zeru Shi, Kai Mei, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang
  ICLR 2025
• Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
  Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang
  ICLR 2025
• SLMRec: Empowering Small Language Models for Sequential Recommendation
  Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang
  ICLR 2025
• Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
  Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang
  ICLR 2025
• Visual Agents as Fast and Slow Thinkers
  Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Yingnian Wu, Yongfeng Zhang, Dongfang Liu
  ICLR 2025
• On the Price of Differential Privacy for Hierarchical Clustering
  Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou
  ICLR 2025
• Bootstrapping Language Models with DPO Implicit Rewards
  Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
  ICLR 2025
• On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
  Roman Belaire, Arunesh Sinha, Pradeep Varakantham
  ICLR 2025
• Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
  Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
  ICLR 2025
• On the Power of Randomization for Obviously Strategy-Proof Mechanisms
  Shiri Ron, Daniel Schoepflin
  AAAI 2025
• Approximating Metric Magnitude of Point Sets
  Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar
  AAAI 2025
• Majorized Bayesian Persuasion and Fair Selection
  Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang
  SODA 2025
• Clock Auctions Augmented with Unreliable Advice
  Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
  SODA 2025
• Designing Automated Market Makers for Combinatorial Securities: A Geometric Viewpoint
  Prommy Sultana Hossain, Xintong Wang, Fang-Yi Yu
  SODA 2025
• Low Sensitivity Hopsets
  Vikrant Ashvinkumar, Aaron Bernstein, Chenguyan Deng, Jie Gao, Nicole Wein
  ITCS 2025
• Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
  Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
  COLING 2025
• Designing Expressive and Liquid Financial Options Markets via Linear Programming and Automated Market Making
  Xintong Wang, David Pennock, David Rothschild, Nikhil Devanur
  ICAIF 2024
• Computing Most Equitable Voting Rules
  Lirong Xia
  WINE 2024
• Enabling Asymptotic Truth Learning in a Social Network
  Kevin Lu, Jordan Chong, Matt Lu, Jie Gao
  WINE 2024
• Optimally Improving Cooperative Learning in a Social Setting
  Shahrzad Haddadan, Cheng Xin, Jie Gao
  ICML 2024