[WINE 2024 Best Paper] Aggregation of Antagonistic Contingent Preferences: When Is It Possible?

We study a two-alternative voting game where voters’ preferences depend on an unobservable world state and each voter receives a private signal correlated to the true world state.

Professor Wen Gao Wins 2025 IEEE Innovation in Societal Infrastructure Award

Prof. Wen Gao won 2025 IEEE Innovation in Societal Infrastructure Award for contributions to and leadership in high-performance AI computing infrastructure and efficient video encoding.

[ICALP 2024] Algorithms for the Generalized Poset Sorting Problem

[ICML 2024] Language Models Represent Beliefs of Self and Others

In this study, we discover that it is possible to linearly decode the belief status from the perspectives of various agents through neural activations of language models, indicating the existence of internal representations of self and others' beliefs.

[CVPR 2024] MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation

We propose a novel metric, view consensus rate, to enhance the utilization of multi-view observations.

[TIT] A Quantum Algorithm Framework for Discrete Probability Distributions with Applications to Rényi Entropy Estimation

In this paper, we propose a unified quantum algorithm framework for estimating properties of discrete probability distributions, with estimating Rényi entropies as specific examples.

[ICRA 2024] Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise

To tackle this challenge, we leverage the property of real-world scanned point cloud that, the point cloud becomes less noisy when the camera is closer to the object.

[ICRA 2024] RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation

We propose an image-only robotic manipulation framework that leverages an eye-on-hand monocular camera installed on the robot's parallel gripper.

[ICRA 2024] Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions

In this work, drawing inspiration from the expert consultation meeting, we introduce a novel zero-shot VLN framework.

[TheWebConf 2024 Oral] Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties

Our main result shows that the Bayesian revenue-optimal mechanism and the budget-extracting bid-discount first-price mechanism yield the same set of Nash equilibrium outcomes in the unassured prior game.

[Computer Science Review 2024] A survey on algorithms for Nash equilibria in finite normal-form games

This paper reviews various algorithms computing the Nash equilibrium and its approximation solutions in finite normal-form games from both theoretical and empirical perspectives.

[AAAI 2024] Dynamic Budget Throttling in Repeated Second-Price Auctions

This paper provides a theoretical panorama of a single advertiser's dynamic budget throttling process in repeated second-price auctions.

[ICRA 2024] GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning based on Online Grasping Pose Fusion

In this work, we propose a graspability-aware mobile manipulation approach powered by an online grasping pose fusion framework that enables a temporally consistent grasping observation.

[AAAI 2024] Competition among Pairwise Lottery Contests

We investigate a two-stage competitive model involving multiple contests.

[DAC 2024] SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE

In this paper, we explore the integration of parameterized quantum pulses with the contextual subspace method.

[ICRA 2024] Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill

In this work, we propose a Pixel-guided Navigation skill (PixNav), which bridges the gap between the foundation models and the embodied navigation task.

[ICLR 2024] Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

In this paper, we conduct a systematic study for quantum algorithms and lower bounds for minimizing the maximum of N convex, Lipschitz functions.

Welcome Dr. Ruosong Wang to Join CFCS, Peking University

Welcome Dr. Ruosong Wang to join CFCS, Peking University as an assistant professor in January 2024.

[NeurIPS 2023] Calibrating "Cheap Signals" in Peer Review without a Prior

Unlike previous works relying on prior knowledge or historical data, we propose a one-shot noise calibration process without any prior information.

[NeurIPS 2023] ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors

Our experiments reveal that ChimpACT offers ample opportunities for both devising new methods and adapting existing ones to solve fundamental computer vision tasks applied to chimpanzee groups.